diff --git a/demos/Harmonize_CapeCod_Detailed.ipynb b/demos/Harmonize_CapeCod_Detailed.ipynb
index abe03eb..44a403e 100644
--- a/demos/Harmonize_CapeCod_Detailed.ipynb
+++ b/demos/Harmonize_CapeCod_Detailed.ipynb
@@ -54,10 +54,10 @@
    "execution_count": 1,
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-     "iopub.status.idle": "2024-09-05T02:34:57.511534Z",
-     "shell.execute_reply": "2024-09-05T02:34:57.511098Z"
+     "iopub.execute_input": "2024-11-05T02:38:34.425090Z",
+     "iopub.status.busy": "2024-11-05T02:38:34.424919Z",
+     "iopub.status.idle": "2024-11-05T02:38:34.430282Z",
+     "shell.execute_reply": "2024-11-05T02:38:34.429723Z"
     }
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    "outputs": [],
@@ -75,10 +75,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:34:57.513522Z",
-     "iopub.status.busy": "2024-09-05T02:34:57.513184Z",
-     "iopub.status.idle": "2024-09-05T02:34:58.274508Z",
-     "shell.execute_reply": "2024-09-05T02:34:58.273971Z"
+     "iopub.execute_input": "2024-11-05T02:38:34.432105Z",
+     "iopub.status.busy": "2024-11-05T02:38:34.431649Z",
+     "iopub.status.idle": "2024-11-05T02:38:35.079266Z",
+     "shell.execute_reply": "2024-11-05T02:38:35.078718Z"
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    "outputs": [
@@ -86,7 +86,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
       "  warnings.warn('GDAL not installed. Some functions will not work.')\n"
      ]
     }
@@ -112,10 +112,10 @@
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-     "shell.execute_reply": "2024-09-05T02:35:00.366683Z"
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+     "shell.execute_reply": "2024-11-05T02:38:36.999813Z"
     }
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    "outputs": [
@@ -152,10 +152,10 @@
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-     "shell.execute_reply": "2024-09-05T02:35:00.374292Z"
+     "iopub.execute_input": "2024-11-05T02:38:37.002302Z",
+     "iopub.status.busy": "2024-11-05T02:38:37.001933Z",
+     "iopub.status.idle": "2024-11-05T02:38:37.006106Z",
+     "shell.execute_reply": "2024-11-05T02:38:37.005513Z"
     }
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    "outputs": [],
@@ -183,10 +183,10 @@
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-     "iopub.status.idle": "2024-09-05T02:35:43.346024Z",
-     "shell.execute_reply": "2024-09-05T02:35:43.345421Z"
+     "iopub.execute_input": "2024-11-05T02:38:37.007893Z",
+     "iopub.status.busy": "2024-11-05T02:38:37.007717Z",
+     "iopub.status.idle": "2024-11-05T02:38:53.685305Z",
+     "shell.execute_reply": "2024-11-05T02:38:53.684690Z"
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    "outputs": [],
@@ -200,17 +200,17 @@
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-     "shell.execute_reply": "2024-09-05T02:35:43.351436Z"
+     "iopub.execute_input": "2024-11-05T02:38:53.687788Z",
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+     "shell.execute_reply": "2024-11-05T02:38:53.691420Z"
     }
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    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(10580, 37)"
+       "(10615, 37)"
       ]
      },
      "execution_count": 6,
@@ -228,10 +228,10 @@
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-     "shell.execute_reply": "2024-09-05T02:35:43.368716Z"
+     "iopub.execute_input": "2024-11-05T02:38:53.693750Z",
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    "outputs": [
@@ -501,10 +501,10 @@
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-     "shell.execute_reply": "2024-09-05T02:35:43.375364Z"
+     "iopub.execute_input": "2024-11-05T02:38:53.710764Z",
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    "outputs": [
@@ -532,10 +532,10 @@
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-     "shell.execute_reply": "2024-09-05T02:35:43.618637Z"
+     "iopub.execute_input": "2024-11-05T02:38:53.716960Z",
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     }
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    "outputs": [],
@@ -549,10 +549,10 @@
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-     "shell.execute_reply": "2024-09-05T02:35:43.651252Z"
+     "iopub.execute_input": "2024-11-05T02:38:53.948687Z",
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     }
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    "outputs": [],
@@ -566,17 +566,17 @@
    "execution_count": 11,
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-     "shell.execute_reply": "2024-09-05T02:35:43.656387Z"
+     "iopub.execute_input": "2024-11-05T02:38:53.980879Z",
+     "iopub.status.busy": "2024-11-05T02:38:53.980716Z",
+     "iopub.status.idle": "2024-11-05T02:38:53.984243Z",
+     "shell.execute_reply": "2024-11-05T02:38:53.983665Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(10580, 42)"
+       "(10615, 42)"
       ]
      },
      "execution_count": 11,
@@ -594,10 +594,10 @@
    "execution_count": 12,
    "metadata": {
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-     "iopub.execute_input": "2024-09-05T02:35:43.659052Z",
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-     "iopub.status.idle": "2024-09-05T02:35:43.663801Z",
-     "shell.execute_reply": "2024-09-05T02:35:43.663248Z"
+     "iopub.execute_input": "2024-11-05T02:38:53.985894Z",
+     "iopub.status.busy": "2024-11-05T02:38:53.985595Z",
+     "iopub.status.idle": "2024-11-05T02:38:53.990541Z",
+     "shell.execute_reply": "2024-11-05T02:38:53.990118Z"
     }
    },
    "outputs": [
@@ -627,17 +627,17 @@
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-     "iopub.status.idle": "2024-09-05T02:35:43.669209Z",
-     "shell.execute_reply": "2024-09-05T02:35:43.668692Z"
+     "iopub.execute_input": "2024-11-05T02:38:53.992119Z",
+     "iopub.status.busy": "2024-11-05T02:38:53.991810Z",
+     "iopub.status.idle": "2024-11-05T02:38:53.995513Z",
+     "shell.execute_reply": "2024-11-05T02:38:53.994961Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<geopandas.array.GeometryDtype at 0x7f396a1c28d0>"
+       "<geopandas.array.GeometryDtype at 0x7f64019d3650>"
       ]
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      "execution_count": 13,
@@ -655,10 +655,10 @@
    "execution_count": 14,
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-     "shell.execute_reply": "2024-09-05T02:35:43.676994Z"
+     "iopub.execute_input": "2024-11-05T02:38:53.997198Z",
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+     "iopub.status.idle": "2024-11-05T02:38:54.003792Z",
+     "shell.execute_reply": "2024-11-05T02:38:54.003249Z"
     }
    },
    "outputs": [
@@ -688,10 +688,10 @@
    "execution_count": 15,
    "metadata": {
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-     "iopub.status.idle": "2024-09-05T02:35:44.107072Z",
-     "shell.execute_reply": "2024-09-05T02:35:44.106569Z"
+     "iopub.execute_input": "2024-11-05T02:38:54.005517Z",
+     "iopub.status.busy": "2024-11-05T02:38:54.005190Z",
+     "iopub.status.idle": "2024-11-05T02:38:54.435856Z",
+     "shell.execute_reply": "2024-11-05T02:38:54.435378Z"
     }
    },
    "outputs": [
@@ -707,7 +707,7 @@
     },
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -726,10 +726,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:35:44.109126Z",
-     "iopub.status.busy": "2024-09-05T02:35:44.108814Z",
-     "iopub.status.idle": "2024-09-05T02:35:44.757399Z",
-     "shell.execute_reply": "2024-09-05T02:35:44.756851Z"
+     "iopub.execute_input": "2024-11-05T02:38:54.437740Z",
+     "iopub.status.busy": "2024-11-05T02:38:54.437402Z",
+     "iopub.status.idle": "2024-11-05T02:38:55.116688Z",
+     "shell.execute_reply": "2024-11-05T02:38:55.116120Z"
     }
    },
    "outputs": [],
@@ -743,10 +743,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:35:44.759712Z",
-     "iopub.status.busy": "2024-09-05T02:35:44.759539Z",
-     "iopub.status.idle": "2024-09-05T02:35:44.922454Z",
-     "shell.execute_reply": "2024-09-05T02:35:44.921914Z"
+     "iopub.execute_input": "2024-11-05T02:38:55.118645Z",
+     "iopub.status.busy": "2024-11-05T02:38:55.118471Z",
+     "iopub.status.idle": "2024-11-05T02:38:55.278364Z",
+     "shell.execute_reply": "2024-11-05T02:38:55.277771Z"
     }
    },
    "outputs": [
@@ -762,7 +762,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -781,17 +781,17 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:35:44.925055Z",
-     "iopub.status.busy": "2024-09-05T02:35:44.924669Z",
-     "iopub.status.idle": "2024-09-05T02:35:44.928448Z",
-     "shell.execute_reply": "2024-09-05T02:35:44.927974Z"
+     "iopub.execute_input": "2024-11-05T02:38:55.280779Z",
+     "iopub.status.busy": "2024-11-05T02:38:55.280271Z",
+     "iopub.status.idle": "2024-11-05T02:38:55.285408Z",
+     "shell.execute_reply": "2024-11-05T02:38:55.284917Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "1519"
+       "1530"
       ]
      },
      "execution_count": 18,
@@ -809,10 +809,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:35:44.930677Z",
-     "iopub.status.busy": "2024-09-05T02:35:44.930300Z",
-     "iopub.status.idle": "2024-09-05T02:35:44.932837Z",
-     "shell.execute_reply": "2024-09-05T02:35:44.932296Z"
+     "iopub.execute_input": "2024-11-05T02:38:55.287327Z",
+     "iopub.status.busy": "2024-11-05T02:38:55.287022Z",
+     "iopub.status.idle": "2024-11-05T02:38:55.289449Z",
+     "shell.execute_reply": "2024-11-05T02:38:55.288962Z"
     }
    },
    "outputs": [],
@@ -835,10 +835,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:35:44.934837Z",
-     "iopub.status.busy": "2024-09-05T02:35:44.934674Z",
-     "iopub.status.idle": "2024-09-05T02:50:38.748141Z",
-     "shell.execute_reply": "2024-09-05T02:50:38.747570Z"
+     "iopub.execute_input": "2024-11-05T02:38:55.291071Z",
+     "iopub.status.busy": "2024-11-05T02:38:55.290910Z",
+     "iopub.status.idle": "2024-11-05T02:50:35.777392Z",
+     "shell.execute_reply": "2024-11-05T02:50:35.776770Z"
     }
    },
    "outputs": [
@@ -846,7 +846,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (8,10,13,15,17,19,20,21,22,23,28,31,32,33,34,36,38,60,63,64,65,66,67,68,69,70,71,72) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (8,10,13,15,17,19,20,21,22,23,28,31,32,33,34,36,38,60,63,64,65,66,67,68,69,70,71,72) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  df = pd.read_csv(StringIO(response.text), delimiter=',')\n"
      ]
     }
@@ -862,10 +862,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:38.750402Z",
-     "iopub.status.busy": "2024-09-05T02:50:38.750212Z",
-     "iopub.status.idle": "2024-09-05T02:50:38.930262Z",
-     "shell.execute_reply": "2024-09-05T02:50:38.929675Z"
+     "iopub.execute_input": "2024-11-05T02:50:35.779762Z",
+     "iopub.status.busy": "2024-11-05T02:50:35.779324Z",
+     "iopub.status.idle": "2024-11-05T02:50:35.975302Z",
+     "shell.execute_reply": "2024-11-05T02:50:35.974794Z"
     }
    },
    "outputs": [
@@ -940,14 +940,14 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>11NPSWRD_WQX</td>\n",
-       "      <td>National Park Service Water Resources Division</td>\n",
-       "      <td>11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01</td>\n",
-       "      <td>2013-07-22</td>\n",
-       "      <td>11:01:00</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td>11NPSWRD_WQX-CACO_HX30_21</td>\n",
-       "      <td>STORET-986369728</td>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-m41:20131017:FM:B</td>\n",
+       "      <td>2013-10-17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>WTGHA-M41</td>\n",
+       "      <td>STORET-1041401688</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -964,21 +964,21 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>MASSDEP</td>\n",
-       "      <td>Massachusetts Department of Environmental Prot...</td>\n",
-       "      <td>MASSDEP-LB-5142</td>\n",
-       "      <td>2013-07-30</td>\n",
-       "      <td>14:20:00</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td>MASSDEP-W2173</td>\n",
-       "      <td>STORET-762955917</td>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-m43:20130606:FM:B</td>\n",
+       "      <td>2013-06-06</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>WTGHA-M43</td>\n",
+       "      <td>STORET-1041402048</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>https://www.waterqualitydata.us/data/providers...</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -988,14 +988,14 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>IRWA</td>\n",
-       "      <td>Ipswich River Watershed Association (Volunteer)</td>\n",
-       "      <td>IRWA-HB:20130630120000:FM</td>\n",
-       "      <td>2013-06-30</td>\n",
-       "      <td>12:00:00</td>\n",
+       "      <td>11NPSWRD_WQX</td>\n",
+       "      <td>National Park Service Water Resources Division</td>\n",
+       "      <td>11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01</td>\n",
+       "      <td>2013-07-22</td>\n",
+       "      <td>11:01:00</td>\n",
        "      <td>EDT</td>\n",
-       "      <td>IRWA-HB</td>\n",
-       "      <td>STORET-853064665</td>\n",
+       "      <td>11NPSWRD_WQX-CACO_HX30_21</td>\n",
+       "      <td>STORET-986369728</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -1012,21 +1012,21 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>CRWA</td>\n",
-       "      <td>Charles River Watershed Association (Massachus...</td>\n",
-       "      <td>CRWA-VMM20131217609SEC02</td>\n",
-       "      <td>2013-12-17</td>\n",
-       "      <td>07:40:00</td>\n",
-       "      <td>EST</td>\n",
-       "      <td>CRWA-609S</td>\n",
-       "      <td>STORET-872379847</td>\n",
+       "      <td>MASSDEP</td>\n",
+       "      <td>Massachusetts Department of Environmental Prot...</td>\n",
+       "      <td>MASSDEP-LB-5142</td>\n",
+       "      <td>2013-07-30</td>\n",
+       "      <td>14:20:00</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td>MASSDEP-W2173</td>\n",
+       "      <td>STORET-762955917</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>https://www.waterqualitydata.us/data/providers...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -1059,7 +1059,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416607</th>\n",
+       "      <th>457005</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400495</td>\n",
@@ -1083,7 +1083,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416608</th>\n",
+       "      <th>457006</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1107,7 +1107,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416609</th>\n",
+       "      <th>457007</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1131,7 +1131,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416610</th>\n",
+       "      <th>457008</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1155,7 +1155,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416611</th>\n",
+       "      <th>457009</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1180,74 +1180,74 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>416612 rows × 78 columns</p>\n",
+       "<p>457010 rows × 78 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       OrganizationIdentifier  \\\n",
        "0                        CRWA   \n",
-       "1                11NPSWRD_WQX   \n",
-       "2                     MASSDEP   \n",
-       "3                        IRWA   \n",
-       "4                        CRWA   \n",
+       "1                       WTGHA   \n",
+       "2                       WTGHA   \n",
+       "3                11NPSWRD_WQX   \n",
+       "4                     MASSDEP   \n",
        "...                       ...   \n",
-       "416607                USGS-MA   \n",
-       "416608                USGS-MA   \n",
-       "416609                USGS-MA   \n",
-       "416610                USGS-MA   \n",
-       "416611                USGS-MA   \n",
+       "457005                USGS-MA   \n",
+       "457006                USGS-MA   \n",
+       "457007                USGS-MA   \n",
+       "457008                USGS-MA   \n",
+       "457009                USGS-MA   \n",
        "\n",
        "                                   OrganizationFormalName  \\\n",
        "0       Charles River Watershed Association (Massachus...   \n",
-       "1          National Park Service Water Resources Division   \n",
-       "2       Massachusetts Department of Environmental Prot...   \n",
-       "3         Ipswich River Watershed Association (Volunteer)   \n",
-       "4       Charles River Watershed Association (Massachus...   \n",
+       "1           Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "2           Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "3          National Park Service Water Resources Division   \n",
+       "4       Massachusetts Department of Environmental Prot...   \n",
        "...                                                   ...   \n",
-       "416607            USGS Massachusetts Water Science Center   \n",
-       "416608            USGS Massachusetts Water Science Center   \n",
-       "416609            USGS Massachusetts Water Science Center   \n",
-       "416610            USGS Massachusetts Water Science Center   \n",
-       "416611            USGS Massachusetts Water Science Center   \n",
+       "457005            USGS Massachusetts Water Science Center   \n",
+       "457006            USGS Massachusetts Water Science Center   \n",
+       "457007            USGS Massachusetts Water Science Center   \n",
+       "457008            USGS Massachusetts Water Science Center   \n",
+       "457009            USGS Massachusetts Water Science Center   \n",
        "\n",
        "                                  ActivityIdentifier ActivityStartDate  \\\n",
        "0                          CRWA-CYN20130809ROBTemp01        2013-08-09   \n",
-       "1       11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01        2013-07-22   \n",
-       "2                                    MASSDEP-LB-5142        2013-07-30   \n",
-       "3                          IRWA-HB:20130630120000:FM        2013-06-30   \n",
-       "4                           CRWA-VMM20131217609SEC02        2013-12-17   \n",
+       "1                            WTGHA-m41:20131017:FM:B        2013-10-17   \n",
+       "2                            WTGHA-m43:20130606:FM:B        2013-06-06   \n",
+       "3       11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01        2013-07-22   \n",
+       "4                                    MASSDEP-LB-5142        2013-07-30   \n",
        "...                                              ...               ...   \n",
-       "416607                            nwisma.01.02400495        2024-01-08   \n",
-       "416608                            nwisma.01.02400639        2024-02-12   \n",
-       "416609                            nwisma.01.02400639        2024-02-12   \n",
-       "416610                            nwisma.01.02400639        2024-02-12   \n",
-       "416611                            nwisma.01.02400639        2024-02-12   \n",
+       "457005                            nwisma.01.02400495        2024-01-08   \n",
+       "457006                            nwisma.01.02400639        2024-02-12   \n",
+       "457007                            nwisma.01.02400639        2024-02-12   \n",
+       "457008                            nwisma.01.02400639        2024-02-12   \n",
+       "457009                            nwisma.01.02400639        2024-02-12   \n",
        "\n",
        "       ActivityStartTime/Time ActivityStartTime/TimeZoneCode  \\\n",
        "0                    11:14:33                            EST   \n",
-       "1                    11:01:00                            EDT   \n",
-       "2                    14:20:00                            EDT   \n",
-       "3                    12:00:00                            EDT   \n",
-       "4                    07:40:00                            EST   \n",
+       "1                         NaN                            NaN   \n",
+       "2                         NaN                            NaN   \n",
+       "3                    11:01:00                            EDT   \n",
+       "4                    14:20:00                            EDT   \n",
        "...                       ...                            ...   \n",
-       "416607               12:00:00                            EST   \n",
-       "416608               08:45:00                            EST   \n",
-       "416609               08:45:00                            EST   \n",
-       "416610               08:45:00                            EST   \n",
-       "416611               08:45:00                            EST   \n",
-       "\n",
-       "       MonitoringLocationIdentifier  ResultIdentifier  DataLoggerLine  \\\n",
-       "0                          CRWA-ROB  STORET-591631481  130809111433.0   \n",
-       "1         11NPSWRD_WQX-CACO_HX30_21  STORET-986369728             NaN   \n",
-       "2                     MASSDEP-W2173  STORET-762955917             NaN   \n",
-       "3                           IRWA-HB  STORET-853064665             NaN   \n",
-       "4                         CRWA-609S  STORET-872379847             NaN   \n",
-       "...                             ...               ...             ...   \n",
-       "416607                USGS-01098530    NWIS-126836828             NaN   \n",
-       "416608                USGS-01097050    NWIS-126989046             NaN   \n",
-       "416609                USGS-01097050    NWIS-126989056             NaN   \n",
-       "416610                USGS-01097050    NWIS-126989063             NaN   \n",
-       "416611                USGS-01097050    NWIS-126989064             NaN   \n",
+       "457005               12:00:00                            EST   \n",
+       "457006               08:45:00                            EST   \n",
+       "457007               08:45:00                            EST   \n",
+       "457008               08:45:00                            EST   \n",
+       "457009               08:45:00                            EST   \n",
+       "\n",
+       "       MonitoringLocationIdentifier   ResultIdentifier  DataLoggerLine  \\\n",
+       "0                          CRWA-ROB   STORET-591631481  130809111433.0   \n",
+       "1                         WTGHA-M41  STORET-1041401688             NaN   \n",
+       "2                         WTGHA-M43  STORET-1041402048             NaN   \n",
+       "3         11NPSWRD_WQX-CACO_HX30_21   STORET-986369728             NaN   \n",
+       "4                     MASSDEP-W2173   STORET-762955917             NaN   \n",
+       "...                             ...                ...             ...   \n",
+       "457005                USGS-01098530     NWIS-126836828             NaN   \n",
+       "457006                USGS-01097050     NWIS-126989046             NaN   \n",
+       "457007                USGS-01097050     NWIS-126989056             NaN   \n",
+       "457008                USGS-01097050     NWIS-126989063             NaN   \n",
+       "457009                USGS-01097050     NWIS-126989064             NaN   \n",
        "\n",
        "       ResultDetectionConditionText  ... AnalysisEndTime/TimeZoneCode  \\\n",
        "0                               NaN  ...                          NaN   \n",
@@ -1256,11 +1256,11 @@
        "3                               NaN  ...                          NaN   \n",
        "4                               NaN  ...                          NaN   \n",
        "...                             ...  ...                          ...   \n",
-       "416607                          NaN  ...                          NaN   \n",
-       "416608                          NaN  ...                          NaN   \n",
-       "416609                          NaN  ...                          NaN   \n",
-       "416610                          NaN  ...                          NaN   \n",
-       "416611                          NaN  ...                          NaN   \n",
+       "457005                          NaN  ...                          NaN   \n",
+       "457006                          NaN  ...                          NaN   \n",
+       "457007                          NaN  ...                          NaN   \n",
+       "457008                          NaN  ...                          NaN   \n",
+       "457009                          NaN  ...                          NaN   \n",
        "\n",
        "       ResultLaboratoryCommentCode ResultLaboratoryCommentText  \\\n",
        "0                              NaN                         NaN   \n",
@@ -1269,24 +1269,24 @@
        "3                              NaN                         NaN   \n",
        "4                              NaN                         NaN   \n",
        "...                            ...                         ...   \n",
-       "416607                         NaN                         NaN   \n",
-       "416608                         NaN                         NaN   \n",
-       "416609                         NaN                         NaN   \n",
-       "416610                         NaN                         NaN   \n",
-       "416611                         NaN                         NaN   \n",
+       "457005                         NaN                         NaN   \n",
+       "457006                         NaN                         NaN   \n",
+       "457007                         NaN                         NaN   \n",
+       "457008                         NaN                         NaN   \n",
+       "457009                         NaN                         NaN   \n",
        "\n",
        "                      ResultDetectionQuantitationLimitUrl  \\\n",
        "0                                                     NaN   \n",
        "1                                                     NaN   \n",
-       "2       https://www.waterqualitydata.us/data/providers...   \n",
+       "2                                                     NaN   \n",
        "3                                                     NaN   \n",
-       "4                                                     NaN   \n",
+       "4       https://www.waterqualitydata.us/data/providers...   \n",
        "...                                                   ...   \n",
-       "416607                                                NaN   \n",
-       "416608                                                NaN   \n",
-       "416609                                                NaN   \n",
-       "416610                                                NaN   \n",
-       "416611                                                NaN   \n",
+       "457005                                                NaN   \n",
+       "457006                                                NaN   \n",
+       "457007                                                NaN   \n",
+       "457008                                                NaN   \n",
+       "457009                                                NaN   \n",
        "\n",
        "       LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName  \\\n",
        "0                                   NaN                                  NaN   \n",
@@ -1295,11 +1295,11 @@
        "3                                   NaN                                  NaN   \n",
        "4                                   NaN                                  NaN   \n",
        "...                                 ...                                  ...   \n",
-       "416607                              NaN                                  NaN   \n",
-       "416608                              NaN                                  NaN   \n",
-       "416609                              NaN                                  NaN   \n",
-       "416610                              NaN                                  NaN   \n",
-       "416611                              NaN                                  NaN   \n",
+       "457005                              NaN                                  NaN   \n",
+       "457006                              NaN                                  NaN   \n",
+       "457007                              NaN                                  NaN   \n",
+       "457008                              NaN                                  NaN   \n",
+       "457009                              NaN                                  NaN   \n",
        "\n",
        "       TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName  \\\n",
        "0                                   NaN                                  NaN   \n",
@@ -1308,11 +1308,11 @@
        "3                                   NaN                                  NaN   \n",
        "4                                   NaN                                  NaN   \n",
        "...                                 ...                                  ...   \n",
-       "416607                              NaN                                  NaN   \n",
-       "416608                              NaN                                  NaN   \n",
-       "416609                              NaN                                  NaN   \n",
-       "416610                              NaN                                  NaN   \n",
-       "416611                              NaN                                  NaN   \n",
+       "457005                              NaN                                  NaN   \n",
+       "457006                              NaN                                  NaN   \n",
+       "457007                              NaN                                  NaN   \n",
+       "457008                              NaN                                  NaN   \n",
+       "457009                              NaN                                  NaN   \n",
        "\n",
        "       LabSamplePreparationUrl ProviderName  \n",
        "0                          NaN       STORET  \n",
@@ -1321,13 +1321,13 @@
        "3                          NaN       STORET  \n",
        "4                          NaN       STORET  \n",
        "...                        ...          ...  \n",
-       "416607                     NaN         NWIS  \n",
-       "416608                     NaN         NWIS  \n",
-       "416609                     NaN         NWIS  \n",
-       "416610                     NaN         NWIS  \n",
-       "416611                     NaN         NWIS  \n",
+       "457005                     NaN         NWIS  \n",
+       "457006                     NaN         NWIS  \n",
+       "457007                     NaN         NWIS  \n",
+       "457008                     NaN         NWIS  \n",
+       "457009                     NaN         NWIS  \n",
        "\n",
-       "[416612 rows x 78 columns]"
+       "[457010 rows x 78 columns]"
       ]
      },
      "execution_count": 21,
@@ -1345,10 +1345,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:38.932667Z",
-     "iopub.status.busy": "2024-09-05T02:50:38.932205Z",
-     "iopub.status.idle": "2024-09-05T02:50:39.729457Z",
-     "shell.execute_reply": "2024-09-05T02:50:39.728869Z"
+     "iopub.execute_input": "2024-11-05T02:50:35.977261Z",
+     "iopub.status.busy": "2024-11-05T02:50:35.976834Z",
+     "iopub.status.idle": "2024-11-05T02:50:36.706062Z",
+     "shell.execute_reply": "2024-11-05T02:50:36.705560Z"
     }
    },
    "outputs": [
@@ -1364,7 +1364,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1402,10 +1402,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:39.731861Z",
-     "iopub.status.busy": "2024-09-05T02:50:39.731485Z",
-     "iopub.status.idle": "2024-09-05T02:50:39.734051Z",
-     "shell.execute_reply": "2024-09-05T02:50:39.733562Z"
+     "iopub.execute_input": "2024-11-05T02:50:36.708098Z",
+     "iopub.status.busy": "2024-11-05T02:50:36.707652Z",
+     "iopub.status.idle": "2024-11-05T02:50:36.710303Z",
+     "shell.execute_reply": "2024-11-05T02:50:36.709846Z"
     }
    },
    "outputs": [],
@@ -1427,10 +1427,10 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:39.735904Z",
-     "iopub.status.busy": "2024-09-05T02:50:39.735733Z",
-     "iopub.status.idle": "2024-09-05T02:50:42.443153Z",
-     "shell.execute_reply": "2024-09-05T02:50:42.442684Z"
+     "iopub.execute_input": "2024-11-05T02:50:36.711942Z",
+     "iopub.status.busy": "2024-11-05T02:50:36.711625Z",
+     "iopub.status.idle": "2024-11-05T02:50:39.594626Z",
+     "shell.execute_reply": "2024-11-05T02:50:39.593991Z"
     },
     "scrolled": true
    },
@@ -1439,7 +1439,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n",
       "  warn(\"WARNING: \" + problem)\n"
      ]
     },
@@ -1448,9 +1448,9 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    4859.000000\n",
-      "mean      -12.392416\n",
-      "std       405.605559\n",
+      "count    4865.000000\n",
+      "mean      -12.374142\n",
+      "std       405.355648\n",
       "min     -9999.000000\n",
       "25%         1.600000\n",
       "50%         3.500000\n",
@@ -1459,12 +1459,12 @@
       "dtype: float64\n",
       "Unusable results: 264\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 2421.240935089463): 16\n"
+      "Results outside threshold (0.0 to 2419.7597455697523): 16\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1493,10 +1493,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:42.445348Z",
-     "iopub.status.busy": "2024-09-05T02:50:42.445029Z",
-     "iopub.status.idle": "2024-09-05T02:50:42.483610Z",
-     "shell.execute_reply": "2024-09-05T02:50:42.483049Z"
+     "iopub.execute_input": "2024-11-05T02:50:39.596951Z",
+     "iopub.status.busy": "2024-11-05T02:50:39.596473Z",
+     "iopub.status.idle": "2024-11-05T02:50:39.637046Z",
+     "shell.execute_reply": "2024-11-05T02:50:39.636454Z"
     }
    },
    "outputs": [
@@ -1531,7 +1531,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>17</th>\n",
+       "      <th>21</th>\n",
        "      <td>11113300-GRTKINSD</td>\n",
        "      <td>3.25</td>\n",
        "      <td>m</td>\n",
@@ -1540,7 +1540,7 @@
        "      <td>3.25 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>137</th>\n",
+       "      <th>161</th>\n",
        "      <td>11113300-BEADERD</td>\n",
        "      <td>4.25</td>\n",
        "      <td>m</td>\n",
@@ -1549,7 +1549,7 @@
        "      <td>4.25 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>311</th>\n",
+       "      <th>369</th>\n",
        "      <td>11113300-ANGSDND</td>\n",
        "      <td>3.5</td>\n",
        "      <td>m</td>\n",
@@ -1558,7 +1558,7 @@
        "      <td>3.5 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>577</th>\n",
+       "      <th>695</th>\n",
        "      <td>11113300-GRTKINSD</td>\n",
        "      <td>2.25</td>\n",
        "      <td>m</td>\n",
@@ -1567,7 +1567,7 @@
        "      <td>2.25 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>597</th>\n",
+       "      <th>718</th>\n",
        "      <td>11113300-GRTKINSD</td>\n",
        "      <td>4.75</td>\n",
        "      <td>m</td>\n",
@@ -1585,7 +1585,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415922</th>\n",
+       "      <th>456320</th>\n",
        "      <td>11NPSWRD_WQX-CACO_DUCK_W</td>\n",
        "      <td>16.5</td>\n",
        "      <td>m</td>\n",
@@ -1594,7 +1594,7 @@
        "      <td>16.5 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415923</th>\n",
+       "      <th>456321</th>\n",
        "      <td>11NPSWRD_WQX-CACO_DUCK_W</td>\n",
        "      <td>10.0</td>\n",
        "      <td>m</td>\n",
@@ -1603,7 +1603,7 @@
        "      <td>10.0 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415924</th>\n",
+       "      <th>456322</th>\n",
        "      <td>11NPSWRD_WQX-CACO_DUCK_W</td>\n",
        "      <td>17.0</td>\n",
        "      <td>m</td>\n",
@@ -1612,7 +1612,7 @@
        "      <td>17.0 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415925</th>\n",
+       "      <th>456323</th>\n",
        "      <td>11NPSWRD_WQX-CACO_DUCK_W</td>\n",
        "      <td>16.0</td>\n",
        "      <td>m</td>\n",
@@ -1621,7 +1621,7 @@
        "      <td>16.0 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415926</th>\n",
+       "      <th>456324</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>7.8</td>\n",
        "      <td>m</td>\n",
@@ -1631,37 +1631,37 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5123 rows × 6 columns</p>\n",
+       "<p>5129 rows × 6 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "17                11113300-GRTKINSD               3.25   \n",
-       "137                11113300-BEADERD               4.25   \n",
-       "311                11113300-ANGSDND                3.5   \n",
-       "577               11113300-GRTKINSD               2.25   \n",
-       "597               11113300-GRTKINSD               4.75   \n",
+       "21                11113300-GRTKINSD               3.25   \n",
+       "161                11113300-BEADERD               4.25   \n",
+       "369                11113300-ANGSDND                3.5   \n",
+       "695               11113300-GRTKINSD               2.25   \n",
+       "718               11113300-GRTKINSD               4.75   \n",
        "...                             ...                ...   \n",
-       "415922     11NPSWRD_WQX-CACO_DUCK_W               16.5   \n",
-       "415923     11NPSWRD_WQX-CACO_DUCK_W               10.0   \n",
-       "415924     11NPSWRD_WQX-CACO_DUCK_W               17.0   \n",
-       "415925     11NPSWRD_WQX-CACO_DUCK_W               16.0   \n",
-       "415926    11NPSWRD_WQX-CACO_GREAT_W                7.8   \n",
+       "456320     11NPSWRD_WQX-CACO_DUCK_W               16.5   \n",
+       "456321     11NPSWRD_WQX-CACO_DUCK_W               10.0   \n",
+       "456322     11NPSWRD_WQX-CACO_DUCK_W               17.0   \n",
+       "456323     11NPSWRD_WQX-CACO_DUCK_W               16.0   \n",
+       "456324    11NPSWRD_WQX-CACO_GREAT_W                7.8   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode QA_flag Units      Secchi  \n",
-       "17                                 m     NaN     m  3.25 meter  \n",
-       "137                                m     NaN     m  4.25 meter  \n",
-       "311                                m     NaN     m   3.5 meter  \n",
-       "577                                m     NaN     m  2.25 meter  \n",
-       "597                                m     NaN     m  4.75 meter  \n",
+       "21                                 m     NaN     m  3.25 meter  \n",
+       "161                                m     NaN     m  4.25 meter  \n",
+       "369                                m     NaN     m   3.5 meter  \n",
+       "695                                m     NaN     m  2.25 meter  \n",
+       "718                                m     NaN     m  4.75 meter  \n",
        "...                              ...     ...   ...         ...  \n",
-       "415922                             m     NaN     m  16.5 meter  \n",
-       "415923                             m     NaN     m  10.0 meter  \n",
-       "415924                             m     NaN     m  17.0 meter  \n",
-       "415925                             m     NaN     m  16.0 meter  \n",
-       "415926                             m     NaN     m   7.8 meter  \n",
+       "456320                             m     NaN     m  16.5 meter  \n",
+       "456321                             m     NaN     m  10.0 meter  \n",
+       "456322                             m     NaN     m  17.0 meter  \n",
+       "456323                             m     NaN     m  16.0 meter  \n",
+       "456324                             m     NaN     m   7.8 meter  \n",
        "\n",
-       "[5123 rows x 6 columns]"
+       "[5129 rows x 6 columns]"
       ]
      },
      "execution_count": 25,
@@ -1681,10 +1681,10 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:42.485675Z",
-     "iopub.status.busy": "2024-09-05T02:50:42.485360Z",
-     "iopub.status.idle": "2024-09-05T02:50:42.502255Z",
-     "shell.execute_reply": "2024-09-05T02:50:42.501728Z"
+     "iopub.execute_input": "2024-11-05T02:50:39.638970Z",
+     "iopub.status.busy": "2024-11-05T02:50:39.638622Z",
+     "iopub.status.idle": "2024-11-05T02:50:39.656582Z",
+     "shell.execute_reply": "2024-11-05T02:50:39.656097Z"
     }
    },
    "outputs": [
@@ -1719,7 +1719,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>18592</th>\n",
+       "      <th>12541</th>\n",
        "      <td>NARS_WQX-NLA12_MA-102</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -1728,7 +1728,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29771</th>\n",
+       "      <th>35945</th>\n",
        "      <td>EPA_OCMA_R1-SS-2</td>\n",
        "      <td>dark</td>\n",
        "      <td>m</td>\n",
@@ -1737,7 +1737,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>32659</th>\n",
+       "      <th>38833</th>\n",
        "      <td>EPA_OCMA_R1-SS-3</td>\n",
        "      <td>dark</td>\n",
        "      <td>m</td>\n",
@@ -1746,7 +1746,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>34650</th>\n",
+       "      <th>40824</th>\n",
        "      <td>EPA_OCMA_R1-R1-23</td>\n",
        "      <td>dark</td>\n",
        "      <td>m</td>\n",
@@ -1755,7 +1755,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>36903</th>\n",
+       "      <th>43077</th>\n",
        "      <td>EPA_OCMA_R1-R1-25</td>\n",
        "      <td>dark</td>\n",
        "      <td>m</td>\n",
@@ -1773,7 +1773,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>328138</th>\n",
+       "      <th>368132</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
@@ -1782,7 +1782,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>328218</th>\n",
+       "      <th>368212</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
@@ -1791,7 +1791,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>328574</th>\n",
+       "      <th>368568</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
@@ -1800,7 +1800,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>329325</th>\n",
+       "      <th>369321</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
@@ -1809,7 +1809,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415913</th>\n",
+       "      <th>456311</th>\n",
        "      <td>11NPSWRD_WQX-CACO_SLOUGH</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
@@ -1824,43 +1824,43 @@
       ],
       "text/plain": [
        "       MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "18592         NARS_WQX-NLA12_MA-102                NaN   \n",
-       "29771              EPA_OCMA_R1-SS-2               dark   \n",
-       "32659              EPA_OCMA_R1-SS-3               dark   \n",
-       "34650             EPA_OCMA_R1-R1-23               dark   \n",
-       "36903             EPA_OCMA_R1-R1-25               dark   \n",
+       "12541         NARS_WQX-NLA12_MA-102                NaN   \n",
+       "35945              EPA_OCMA_R1-SS-2               dark   \n",
+       "38833              EPA_OCMA_R1-SS-3               dark   \n",
+       "40824             EPA_OCMA_R1-R1-23               dark   \n",
+       "43077             EPA_OCMA_R1-R1-25               dark   \n",
        "...                             ...                ...   \n",
-       "328138    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
-       "328218    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
-       "328574    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
-       "329325    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
-       "415913     11NPSWRD_WQX-CACO_SLOUGH                NaN   \n",
+       "368132    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
+       "368212    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
+       "368568    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
+       "369321    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
+       "456311     11NPSWRD_WQX-CACO_SLOUGH                NaN   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode  \\\n",
-       "18592                            NaN   \n",
-       "29771                              m   \n",
-       "32659                              m   \n",
-       "34650                              m   \n",
-       "36903                              m   \n",
+       "12541                            NaN   \n",
+       "35945                              m   \n",
+       "38833                              m   \n",
+       "40824                              m   \n",
+       "43077                              m   \n",
        "...                              ...   \n",
-       "328138                             m   \n",
-       "328218                             m   \n",
-       "328574                             m   \n",
-       "329325                             m   \n",
-       "415913                             m   \n",
+       "368132                             m   \n",
+       "368212                             m   \n",
+       "368568                             m   \n",
+       "369321                             m   \n",
+       "456311                             m   \n",
        "\n",
        "                                                  QA_flag Units Secchi  \n",
-       "18592   ResultMeasureValue: missing (NaN) result; Resu...     m    NaN  \n",
-       "29771    ResultMeasureValue: \"dark\" result cannot be used     m    NaN  \n",
-       "32659    ResultMeasureValue: \"dark\" result cannot be used     m    NaN  \n",
-       "34650    ResultMeasureValue: \"dark\" result cannot be used     m    NaN  \n",
-       "36903    ResultMeasureValue: \"dark\" result cannot be used     m    NaN  \n",
+       "12541   ResultMeasureValue: missing (NaN) result; Resu...     m    NaN  \n",
+       "35945    ResultMeasureValue: \"dark\" result cannot be used     m    NaN  \n",
+       "38833    ResultMeasureValue: \"dark\" result cannot be used     m    NaN  \n",
+       "40824    ResultMeasureValue: \"dark\" result cannot be used     m    NaN  \n",
+       "43077    ResultMeasureValue: \"dark\" result cannot be used     m    NaN  \n",
        "...                                                   ...   ...    ...  \n",
-       "328138           ResultMeasureValue: missing (NaN) result     m    NaN  \n",
-       "328218           ResultMeasureValue: missing (NaN) result     m    NaN  \n",
-       "328574           ResultMeasureValue: missing (NaN) result     m    NaN  \n",
-       "329325           ResultMeasureValue: missing (NaN) result     m    NaN  \n",
-       "415913           ResultMeasureValue: missing (NaN) result     m    NaN  \n",
+       "368132           ResultMeasureValue: missing (NaN) result     m    NaN  \n",
+       "368212           ResultMeasureValue: missing (NaN) result     m    NaN  \n",
+       "368568           ResultMeasureValue: missing (NaN) result     m    NaN  \n",
+       "369321           ResultMeasureValue: missing (NaN) result     m    NaN  \n",
+       "456311           ResultMeasureValue: missing (NaN) result     m    NaN  \n",
        "\n",
        "[264 rows x 6 columns]"
       ]
@@ -1880,10 +1880,10 @@
    "execution_count": 27,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:42.504170Z",
-     "iopub.status.busy": "2024-09-05T02:50:42.504002Z",
-     "iopub.status.idle": "2024-09-05T02:50:42.517057Z",
-     "shell.execute_reply": "2024-09-05T02:50:42.516623Z"
+     "iopub.execute_input": "2024-11-05T02:50:39.658386Z",
+     "iopub.status.busy": "2024-11-05T02:50:39.658062Z",
+     "iopub.status.idle": "2024-11-05T02:50:39.672145Z",
+     "shell.execute_reply": "2024-11-05T02:50:39.671678Z"
     }
    },
    "outputs": [
@@ -1908,10 +1908,10 @@
    "execution_count": 28,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:42.519131Z",
-     "iopub.status.busy": "2024-09-05T02:50:42.518807Z",
-     "iopub.status.idle": "2024-09-05T02:50:42.535346Z",
-     "shell.execute_reply": "2024-09-05T02:50:42.534885Z"
+     "iopub.execute_input": "2024-11-05T02:50:39.673982Z",
+     "iopub.status.busy": "2024-11-05T02:50:39.673649Z",
+     "iopub.status.idle": "2024-11-05T02:50:39.691649Z",
+     "shell.execute_reply": "2024-11-05T02:50:39.691060Z"
     }
    },
    "outputs": [
@@ -1946,7 +1946,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>18592</th>\n",
+       "      <th>12541</th>\n",
        "      <td>NARS_WQX-NLA12_MA-102</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -1955,7 +1955,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29737</th>\n",
+       "      <th>35911</th>\n",
        "      <td>NARS_WQX-NCCA10-1070</td>\n",
        "      <td>-9</td>\n",
        "      <td>None</td>\n",
@@ -1964,7 +1964,7 @@
        "      <td>-9.0 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29771</th>\n",
+       "      <th>35945</th>\n",
        "      <td>EPA_OCMA_R1-SS-2</td>\n",
        "      <td>dark</td>\n",
        "      <td>m</td>\n",
@@ -1973,7 +1973,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29918</th>\n",
+       "      <th>36092</th>\n",
        "      <td>NARS_WQX-NCCA10-1029</td>\n",
        "      <td>-9</td>\n",
        "      <td>None</td>\n",
@@ -1982,7 +1982,7 @@
        "      <td>-9.0 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>31135</th>\n",
+       "      <th>37309</th>\n",
        "      <td>NARS_WQX-NCCA10-1001</td>\n",
        "      <td>-9</td>\n",
        "      <td>None</td>\n",
@@ -2000,7 +2000,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>328138</th>\n",
+       "      <th>368132</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
@@ -2009,7 +2009,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>328218</th>\n",
+       "      <th>368212</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
@@ -2018,7 +2018,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>328574</th>\n",
+       "      <th>368568</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
@@ -2027,7 +2027,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>329325</th>\n",
+       "      <th>369321</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
@@ -2036,7 +2036,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415913</th>\n",
+       "      <th>456311</th>\n",
        "      <td>11NPSWRD_WQX-CACO_SLOUGH</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
@@ -2051,43 +2051,43 @@
       ],
       "text/plain": [
        "       MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "18592         NARS_WQX-NLA12_MA-102                NaN   \n",
-       "29737          NARS_WQX-NCCA10-1070                 -9   \n",
-       "29771              EPA_OCMA_R1-SS-2               dark   \n",
-       "29918          NARS_WQX-NCCA10-1029                 -9   \n",
-       "31135          NARS_WQX-NCCA10-1001                 -9   \n",
+       "12541         NARS_WQX-NLA12_MA-102                NaN   \n",
+       "35911          NARS_WQX-NCCA10-1070                 -9   \n",
+       "35945              EPA_OCMA_R1-SS-2               dark   \n",
+       "36092          NARS_WQX-NCCA10-1029                 -9   \n",
+       "37309          NARS_WQX-NCCA10-1001                 -9   \n",
        "...                             ...                ...   \n",
-       "328138    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
-       "328218    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
-       "328574    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
-       "329325    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
-       "415913     11NPSWRD_WQX-CACO_SLOUGH                NaN   \n",
+       "368132    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
+       "368212    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
+       "368568    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
+       "369321    11NPSWRD_WQX-CACO_GREAT_W                NaN   \n",
+       "456311     11NPSWRD_WQX-CACO_SLOUGH                NaN   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode  \\\n",
-       "18592                            NaN   \n",
-       "29737                           None   \n",
-       "29771                              m   \n",
-       "29918                           None   \n",
-       "31135                           None   \n",
+       "12541                            NaN   \n",
+       "35911                           None   \n",
+       "35945                              m   \n",
+       "36092                           None   \n",
+       "37309                           None   \n",
        "...                              ...   \n",
-       "328138                             m   \n",
-       "328218                             m   \n",
-       "328574                             m   \n",
-       "329325                             m   \n",
-       "415913                             m   \n",
+       "368132                             m   \n",
+       "368212                             m   \n",
+       "368568                             m   \n",
+       "369321                             m   \n",
+       "456311                             m   \n",
        "\n",
        "                                                  QA_flag Units      Secchi  \n",
-       "18592   ResultMeasureValue: missing (NaN) result; Resu...     m         NaN  \n",
-       "29737   ResultMeasure/MeasureUnitCode: 'None' UNDEFINE...     m  -9.0 meter  \n",
-       "29771    ResultMeasureValue: \"dark\" result cannot be used     m         NaN  \n",
-       "29918   ResultMeasure/MeasureUnitCode: 'None' UNDEFINE...     m  -9.0 meter  \n",
-       "31135   ResultMeasure/MeasureUnitCode: 'None' UNDEFINE...     m  -9.0 meter  \n",
+       "12541   ResultMeasureValue: missing (NaN) result; Resu...     m         NaN  \n",
+       "35911   ResultMeasure/MeasureUnitCode: 'None' UNDEFINE...     m  -9.0 meter  \n",
+       "35945    ResultMeasureValue: \"dark\" result cannot be used     m         NaN  \n",
+       "36092   ResultMeasure/MeasureUnitCode: 'None' UNDEFINE...     m  -9.0 meter  \n",
+       "37309   ResultMeasure/MeasureUnitCode: 'None' UNDEFINE...     m  -9.0 meter  \n",
        "...                                                   ...   ...         ...  \n",
-       "328138           ResultMeasureValue: missing (NaN) result     m         NaN  \n",
-       "328218           ResultMeasureValue: missing (NaN) result     m         NaN  \n",
-       "328574           ResultMeasureValue: missing (NaN) result     m         NaN  \n",
-       "329325           ResultMeasureValue: missing (NaN) result     m         NaN  \n",
-       "415913           ResultMeasureValue: missing (NaN) result     m         NaN  \n",
+       "368132           ResultMeasureValue: missing (NaN) result     m         NaN  \n",
+       "368212           ResultMeasureValue: missing (NaN) result     m         NaN  \n",
+       "368568           ResultMeasureValue: missing (NaN) result     m         NaN  \n",
+       "369321           ResultMeasureValue: missing (NaN) result     m         NaN  \n",
+       "456311           ResultMeasureValue: missing (NaN) result     m         NaN  \n",
        "\n",
        "[272 rows x 6 columns]"
       ]
@@ -2114,10 +2114,10 @@
    "execution_count": 29,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:42.537324Z",
-     "iopub.status.busy": "2024-09-05T02:50:42.536999Z",
-     "iopub.status.idle": "2024-09-05T02:50:42.549575Z",
-     "shell.execute_reply": "2024-09-05T02:50:42.549146Z"
+     "iopub.execute_input": "2024-11-05T02:50:39.693702Z",
+     "iopub.status.busy": "2024-11-05T02:50:39.693282Z",
+     "iopub.status.idle": "2024-11-05T02:50:39.706128Z",
+     "shell.execute_reply": "2024-11-05T02:50:39.705676Z"
     }
    },
    "outputs": [
@@ -2185,38 +2185,38 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>689</th>\n",
+       "      <th>691</th>\n",
        "      <td>WWMD_VA-SH1</td>\n",
        "      <td>2</td>\n",
        "      <td>1.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>690</th>\n",
+       "      <th>692</th>\n",
        "      <td>WWMD_VA-SH2</td>\n",
        "      <td>2</td>\n",
        "      <td>1.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>691</th>\n",
+       "      <th>693</th>\n",
        "      <td>WWMD_VA-SR6A</td>\n",
        "      <td>1</td>\n",
        "      <td>0.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>692</th>\n",
+       "      <th>694</th>\n",
        "      <td>WWMD_VA-WF2</td>\n",
        "      <td>1</td>\n",
        "      <td>0.600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>693</th>\n",
+       "      <th>695</th>\n",
        "      <td>WWMD_VA-WR5</td>\n",
        "      <td>1</td>\n",
        "      <td>2.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>694 rows × 3 columns</p>\n",
+       "<p>696 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -2227,13 +2227,13 @@
        "3               11113300-CAPSALD   24  2.456262\n",
        "4              11113300-COBWINND   21  3.768810\n",
        "..                           ...  ...       ...\n",
-       "689                  WWMD_VA-SH1    2  1.500000\n",
-       "690                  WWMD_VA-SH2    2  1.800000\n",
-       "691                 WWMD_VA-SR6A    1  0.500000\n",
-       "692                  WWMD_VA-WF2    1  0.600000\n",
-       "693                  WWMD_VA-WR5    1  2.000000\n",
+       "691                  WWMD_VA-SH1    2  1.500000\n",
+       "692                  WWMD_VA-SH2    2  1.800000\n",
+       "693                 WWMD_VA-SR6A    1  0.500000\n",
+       "694                  WWMD_VA-WF2    1  0.600000\n",
+       "695                  WWMD_VA-WR5    1  2.000000\n",
        "\n",
-       "[694 rows x 3 columns]"
+       "[696 rows x 3 columns]"
       ]
      },
      "execution_count": 29,
@@ -2251,10 +2251,10 @@
    "execution_count": 30,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:42.551557Z",
-     "iopub.status.busy": "2024-09-05T02:50:42.551235Z",
-     "iopub.status.idle": "2024-09-05T02:50:42.707292Z",
-     "shell.execute_reply": "2024-09-05T02:50:42.706806Z"
+     "iopub.execute_input": "2024-11-05T02:50:39.707829Z",
+     "iopub.status.busy": "2024-11-05T02:50:39.707511Z",
+     "iopub.status.idle": "2024-11-05T02:50:39.856152Z",
+     "shell.execute_reply": "2024-11-05T02:50:39.855498Z"
     }
    },
    "outputs": [
@@ -2262,7 +2262,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n",
       "  self.bins = quantile(y, k=k)\n"
      ]
     },
@@ -2298,10 +2298,10 @@
    "execution_count": 31,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:42.709280Z",
-     "iopub.status.busy": "2024-09-05T02:50:42.708954Z",
-     "iopub.status.idle": "2024-09-05T02:50:42.938911Z",
-     "shell.execute_reply": "2024-09-05T02:50:42.938257Z"
+     "iopub.execute_input": "2024-11-05T02:50:39.858035Z",
+     "iopub.status.busy": "2024-11-05T02:50:39.857859Z",
+     "iopub.status.idle": "2024-11-05T02:50:40.101614Z",
+     "shell.execute_reply": "2024-11-05T02:50:40.101101Z"
     }
    },
    "outputs": [
@@ -2351,10 +2351,10 @@
    "execution_count": 32,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:42.941166Z",
-     "iopub.status.busy": "2024-09-05T02:50:42.940991Z",
-     "iopub.status.idle": "2024-09-05T02:50:46.131027Z",
-     "shell.execute_reply": "2024-09-05T02:50:46.130455Z"
+     "iopub.execute_input": "2024-11-05T02:50:40.103409Z",
+     "iopub.status.busy": "2024-11-05T02:50:40.103222Z",
+     "iopub.status.idle": "2024-11-05T02:50:43.562857Z",
+     "shell.execute_reply": "2024-11-05T02:50:43.562358Z"
     }
    },
    "outputs": [
@@ -2362,7 +2362,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -2371,23 +2371,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    119742.000000\n",
-      "mean         16.041278\n",
-      "std           7.327751\n",
-      "min          -6.000000\n",
-      "25%          11.000000\n",
-      "50%          16.730000\n",
-      "75%          21.683374\n",
-      "max         910.000000\n",
+      "count    125598.00000\n",
+      "mean         16.02333\n",
+      "std           7.32987\n",
+      "min          -6.00000\n",
+      "25%          11.00000\n",
+      "50%          16.80000\n",
+      "75%          21.66000\n",
+      "max         910.00000\n",
       "dtype: float64\n",
       "Unusable results: 213\n",
       "Usable results with inferred units: 217\n",
-      "Results outside threshold (0.0 to 60.007781720935796): 116\n"
+      "Results outside threshold (0.0 to 60.00254815453248): 177\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2407,10 +2407,10 @@
    "execution_count": 33,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:46.133291Z",
-     "iopub.status.busy": "2024-09-05T02:50:46.132969Z",
-     "iopub.status.idle": "2024-09-05T02:50:46.237354Z",
-     "shell.execute_reply": "2024-09-05T02:50:46.236779Z"
+     "iopub.execute_input": "2024-11-05T02:50:43.564521Z",
+     "iopub.status.busy": "2024-11-05T02:50:43.564337Z",
+     "iopub.status.idle": "2024-11-05T02:50:43.678197Z",
+     "shell.execute_reply": "2024-11-05T02:50:43.677655Z"
     }
    },
    "outputs": [
@@ -2454,7 +2454,16 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8</th>\n",
+       "      <th>2</th>\n",
+       "      <td>WTGHA-M43</td>\n",
+       "      <td>17.39</td>\n",
+       "      <td>deg C</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>17.39 degree_Celsius</td>\n",
+       "      <td>degC</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
        "      <td>CRWA-635S</td>\n",
        "      <td>5.5</td>\n",
        "      <td>deg C</td>\n",
@@ -2463,7 +2472,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>15</th>\n",
+       "      <th>19</th>\n",
        "      <td>CRWA-4LONG</td>\n",
        "      <td>28.2</td>\n",
        "      <td>deg C</td>\n",
@@ -2472,7 +2481,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
+       "      <th>28</th>\n",
        "      <td>BRC-C-02-03-040</td>\n",
        "      <td>15</td>\n",
        "      <td>deg C</td>\n",
@@ -2481,15 +2490,6 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>11113300-BCHHSPHAMLF</td>\n",
-       "      <td>15</td>\n",
-       "      <td>deg C</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>15.0 degree_Celsius</td>\n",
-       "      <td>degC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
@@ -2499,7 +2499,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416594</th>\n",
+       "      <th>456992</th>\n",
        "      <td>USGS-413831070304703</td>\n",
        "      <td>11.3</td>\n",
        "      <td>deg C</td>\n",
@@ -2508,7 +2508,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416596</th>\n",
+       "      <th>456994</th>\n",
        "      <td>USGS-01100627</td>\n",
        "      <td>7.0</td>\n",
        "      <td>deg C</td>\n",
@@ -2517,7 +2517,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416600</th>\n",
+       "      <th>456998</th>\n",
        "      <td>USGS-01096548</td>\n",
        "      <td>2.9</td>\n",
        "      <td>deg C</td>\n",
@@ -2526,7 +2526,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416604</th>\n",
+       "      <th>457002</th>\n",
        "      <td>USGS-01098530</td>\n",
        "      <td>1.5</td>\n",
        "      <td>deg C</td>\n",
@@ -2535,7 +2535,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416608</th>\n",
+       "      <th>457006</th>\n",
        "      <td>USGS-01097050</td>\n",
        "      <td>3.9</td>\n",
        "      <td>deg C</td>\n",
@@ -2545,37 +2545,37 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>119955 rows × 6 columns</p>\n",
+       "<p>125811 rows × 6 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       MonitoringLocationIdentifier ResultMeasureValue  \\\n",
        "0                          CRWA-ROB              23.01   \n",
-       "8                         CRWA-635S                5.5   \n",
-       "15                       CRWA-4LONG               28.2   \n",
-       "22                  BRC-C-02-03-040                 15   \n",
-       "26             11113300-BCHHSPHAMLF                 15   \n",
+       "2                         WTGHA-M43              17.39   \n",
+       "10                        CRWA-635S                5.5   \n",
+       "19                       CRWA-4LONG               28.2   \n",
+       "28                  BRC-C-02-03-040                 15   \n",
        "...                             ...                ...   \n",
-       "416594         USGS-413831070304703               11.3   \n",
-       "416596                USGS-01100627                7.0   \n",
-       "416600                USGS-01096548                2.9   \n",
-       "416604                USGS-01098530                1.5   \n",
-       "416608                USGS-01097050                3.9   \n",
+       "456992         USGS-413831070304703               11.3   \n",
+       "456994                USGS-01100627                7.0   \n",
+       "456998                USGS-01096548                2.9   \n",
+       "457002                USGS-01098530                1.5   \n",
+       "457006                USGS-01097050                3.9   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode QA_flag           Temperature Units  \n",
        "0                              deg C     NaN  23.01 degree_Celsius  degC  \n",
-       "8                              deg C     NaN    5.5 degree_Celsius  degC  \n",
-       "15                             deg C     NaN   28.2 degree_Celsius  degC  \n",
-       "22                             deg C     NaN   15.0 degree_Celsius  degC  \n",
-       "26                             deg C     NaN   15.0 degree_Celsius  degC  \n",
+       "2                              deg C     NaN  17.39 degree_Celsius  degC  \n",
+       "10                             deg C     NaN    5.5 degree_Celsius  degC  \n",
+       "19                             deg C     NaN   28.2 degree_Celsius  degC  \n",
+       "28                             deg C     NaN   15.0 degree_Celsius  degC  \n",
        "...                              ...     ...                   ...   ...  \n",
-       "416594                         deg C     NaN   11.3 degree_Celsius  degC  \n",
-       "416596                         deg C     NaN    7.0 degree_Celsius  degC  \n",
-       "416600                         deg C     NaN    2.9 degree_Celsius  degC  \n",
-       "416604                         deg C     NaN    1.5 degree_Celsius  degC  \n",
-       "416608                         deg C     NaN    3.9 degree_Celsius  degC  \n",
+       "456992                         deg C     NaN   11.3 degree_Celsius  degC  \n",
+       "456994                         deg C     NaN    7.0 degree_Celsius  degC  \n",
+       "456998                         deg C     NaN    2.9 degree_Celsius  degC  \n",
+       "457002                         deg C     NaN    1.5 degree_Celsius  degC  \n",
+       "457006                         deg C     NaN    3.9 degree_Celsius  degC  \n",
        "\n",
-       "[119955 rows x 6 columns]"
+       "[125811 rows x 6 columns]"
       ]
      },
      "execution_count": 33,
@@ -2595,10 +2595,10 @@
    "execution_count": 34,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:46.239523Z",
-     "iopub.status.busy": "2024-09-05T02:50:46.239180Z",
-     "iopub.status.idle": "2024-09-05T02:50:46.266577Z",
-     "shell.execute_reply": "2024-09-05T02:50:46.266071Z"
+     "iopub.execute_input": "2024-11-05T02:50:43.680069Z",
+     "iopub.status.busy": "2024-11-05T02:50:43.679727Z",
+     "iopub.status.idle": "2024-11-05T02:50:43.709319Z",
+     "shell.execute_reply": "2024-11-05T02:50:43.708869Z"
     }
    },
    "outputs": [
@@ -2633,7 +2633,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>9748</th>\n",
+       "      <th>19570</th>\n",
        "      <td>NALMS-F865245</td>\n",
        "      <td>81</td>\n",
        "      <td>deg F</td>\n",
@@ -2642,7 +2642,7 @@
        "      <td>degF</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22987</th>\n",
+       "      <th>28249</th>\n",
        "      <td>11113300-HOODERD</td>\n",
        "      <td>59.2</td>\n",
        "      <td>deg F</td>\n",
@@ -2651,7 +2651,7 @@
        "      <td>degF</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23336</th>\n",
+       "      <th>28658</th>\n",
        "      <td>11113300-HOODERD</td>\n",
        "      <td>59.1</td>\n",
        "      <td>deg F</td>\n",
@@ -2660,7 +2660,7 @@
        "      <td>degF</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23626</th>\n",
+       "      <th>28988</th>\n",
        "      <td>11113300-HOODERD</td>\n",
        "      <td>59.9</td>\n",
        "      <td>deg F</td>\n",
@@ -2669,7 +2669,7 @@
        "      <td>degF</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>24108</th>\n",
+       "      <th>29552</th>\n",
        "      <td>11113300-HOODERD</td>\n",
        "      <td>56</td>\n",
        "      <td>deg F</td>\n",
@@ -2687,7 +2687,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>412393</th>\n",
+       "      <th>452836</th>\n",
        "      <td>11NPSWRD_WQX-SAIR_MEQ76_NC6</td>\n",
        "      <td>70.0</td>\n",
        "      <td>deg F</td>\n",
@@ -2696,7 +2696,7 @@
        "      <td>degF</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>412399</th>\n",
+       "      <th>452842</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_MEQ76_NC18</td>\n",
        "      <td>71.0</td>\n",
        "      <td>deg F</td>\n",
@@ -2705,7 +2705,7 @@
        "      <td>degF</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>412402</th>\n",
+       "      <th>452845</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_MEQ76_NC13</td>\n",
        "      <td>72.0</td>\n",
        "      <td>deg F</td>\n",
@@ -2714,7 +2714,7 @@
        "      <td>degF</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>412417</th>\n",
+       "      <th>452860</th>\n",
        "      <td>11NPSWRD_WQX-SAIR_MEQ76_NC3</td>\n",
        "      <td>70.0</td>\n",
        "      <td>deg F</td>\n",
@@ -2723,7 +2723,7 @@
        "      <td>degF</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>412418</th>\n",
+       "      <th>452861</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_MEQ76_SB05</td>\n",
        "      <td>60.0</td>\n",
        "      <td>deg F</td>\n",
@@ -2738,43 +2738,43 @@
       ],
       "text/plain": [
        "        MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "9748                   NALMS-F865245                 81   \n",
-       "22987               11113300-HOODERD               59.2   \n",
-       "23336               11113300-HOODERD               59.1   \n",
-       "23626               11113300-HOODERD               59.9   \n",
-       "24108               11113300-HOODERD                 56   \n",
+       "19570                  NALMS-F865245                 81   \n",
+       "28249               11113300-HOODERD               59.2   \n",
+       "28658               11113300-HOODERD               59.1   \n",
+       "28988               11113300-HOODERD               59.9   \n",
+       "29552               11113300-HOODERD                 56   \n",
        "...                              ...                ...   \n",
-       "412393   11NPSWRD_WQX-SAIR_MEQ76_NC6               70.0   \n",
-       "412399  11NPSWRD_WQX-SAMA_MEQ76_NC18               71.0   \n",
-       "412402  11NPSWRD_WQX-SAMA_MEQ76_NC13               72.0   \n",
-       "412417   11NPSWRD_WQX-SAIR_MEQ76_NC3               70.0   \n",
-       "412418  11NPSWRD_WQX-SAMA_MEQ76_SB05               60.0   \n",
+       "452836   11NPSWRD_WQX-SAIR_MEQ76_NC6               70.0   \n",
+       "452842  11NPSWRD_WQX-SAMA_MEQ76_NC18               71.0   \n",
+       "452845  11NPSWRD_WQX-SAMA_MEQ76_NC13               72.0   \n",
+       "452860   11NPSWRD_WQX-SAIR_MEQ76_NC3               70.0   \n",
+       "452861  11NPSWRD_WQX-SAMA_MEQ76_SB05               60.0   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "9748                           deg F     NaN   \n",
-       "22987                          deg F     NaN   \n",
-       "23336                          deg F     NaN   \n",
-       "23626                          deg F     NaN   \n",
-       "24108                          deg F     NaN   \n",
+       "19570                          deg F     NaN   \n",
+       "28249                          deg F     NaN   \n",
+       "28658                          deg F     NaN   \n",
+       "28988                          deg F     NaN   \n",
+       "29552                          deg F     NaN   \n",
        "...                              ...     ...   \n",
-       "412393                         deg F     NaN   \n",
-       "412399                         deg F     NaN   \n",
-       "412402                         deg F     NaN   \n",
-       "412417                         deg F     NaN   \n",
-       "412418                         deg F     NaN   \n",
+       "452836                         deg F     NaN   \n",
+       "452842                         deg F     NaN   \n",
+       "452845                         deg F     NaN   \n",
+       "452860                         deg F     NaN   \n",
+       "452861                         deg F     NaN   \n",
        "\n",
        "                              Temperature Units  \n",
-       "9748    27.222222222222285 degree_Celsius  degF  \n",
-       "22987   15.111111111111143 degree_Celsius  degF  \n",
-       "23336     15.0555555555556 degree_Celsius  degF  \n",
-       "23626   15.500000000000057 degree_Celsius  degF  \n",
-       "24108   13.333333333333371 degree_Celsius  degF  \n",
+       "19570   27.222222222222285 degree_Celsius  degF  \n",
+       "28249   15.111111111111143 degree_Celsius  degF  \n",
+       "28658     15.0555555555556 degree_Celsius  degF  \n",
+       "28988   15.500000000000057 degree_Celsius  degF  \n",
+       "29552   13.333333333333371 degree_Celsius  degF  \n",
        "...                                   ...   ...  \n",
-       "412393  21.111111111111143 degree_Celsius  degF  \n",
-       "412399  21.666666666666686 degree_Celsius  degF  \n",
-       "412402  22.222222222222285 degree_Celsius  degF  \n",
-       "412417  21.111111111111143 degree_Celsius  degF  \n",
-       "412418    15.5555555555556 degree_Celsius  degF  \n",
+       "452836  21.111111111111143 degree_Celsius  degF  \n",
+       "452842  21.666666666666686 degree_Celsius  degF  \n",
+       "452845  22.222222222222285 degree_Celsius  degF  \n",
+       "452860  21.111111111111143 degree_Celsius  degF  \n",
+       "452861    15.5555555555556 degree_Celsius  degF  \n",
        "\n",
        "[695 rows x 6 columns]"
       ]
@@ -2801,10 +2801,10 @@
    "execution_count": 35,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:46.268664Z",
-     "iopub.status.busy": "2024-09-05T02:50:46.268328Z",
-     "iopub.status.idle": "2024-09-05T02:50:46.289355Z",
-     "shell.execute_reply": "2024-09-05T02:50:46.288915Z"
+     "iopub.execute_input": "2024-11-05T02:50:43.711108Z",
+     "iopub.status.busy": "2024-11-05T02:50:43.710764Z",
+     "iopub.status.idle": "2024-11-05T02:50:43.733100Z",
+     "shell.execute_reply": "2024-11-05T02:50:43.732526Z"
     }
    },
    "outputs": [
@@ -2839,7 +2839,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>100462</th>\n",
+       "      <th>120710</th>\n",
        "      <td>AQUINNAH-MEN TXCO</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
@@ -2848,7 +2848,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>100463</th>\n",
+       "      <th>120711</th>\n",
        "      <td>AQUINNAH-MEN TXCO</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
@@ -2857,7 +2857,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>100464</th>\n",
+       "      <th>120712</th>\n",
        "      <td>AQUINNAH-MEN TXCO</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
@@ -2866,7 +2866,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>100465</th>\n",
+       "      <th>120713</th>\n",
        "      <td>AQUINNAH-MEN TXCO</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
@@ -2875,7 +2875,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>100466</th>\n",
+       "      <th>120714</th>\n",
        "      <td>AQUINNAH-MEN TXCO</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
@@ -2893,7 +2893,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>101804</th>\n",
+       "      <th>122052</th>\n",
        "      <td>AQUINNAH-MEN PND Q</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
@@ -2902,7 +2902,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>101805</th>\n",
+       "      <th>122053</th>\n",
        "      <td>AQUINNAH-MEN PND Q</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
@@ -2911,7 +2911,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>101807</th>\n",
+       "      <th>122055</th>\n",
        "      <td>AQUINNAH-MEN PND Q</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
@@ -2920,7 +2920,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>145824</th>\n",
+       "      <th>170943</th>\n",
        "      <td>AQUINNAH-MEN PND HC</td>\n",
        "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
@@ -2929,7 +2929,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>379548</th>\n",
+       "      <th>420992</th>\n",
        "      <td>USGS-414654070002901</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -2944,56 +2944,56 @@
       ],
       "text/plain": [
        "       MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "100462            AQUINNAH-MEN TXCO                  0   \n",
-       "100463            AQUINNAH-MEN TXCO                  0   \n",
-       "100464            AQUINNAH-MEN TXCO                  0   \n",
-       "100465            AQUINNAH-MEN TXCO                  0   \n",
-       "100466            AQUINNAH-MEN TXCO                  0   \n",
+       "120710            AQUINNAH-MEN TXCO                  0   \n",
+       "120711            AQUINNAH-MEN TXCO                  0   \n",
+       "120712            AQUINNAH-MEN TXCO                  0   \n",
+       "120713            AQUINNAH-MEN TXCO                  0   \n",
+       "120714            AQUINNAH-MEN TXCO                  0   \n",
        "...                             ...                ...   \n",
-       "101804           AQUINNAH-MEN PND Q                  0   \n",
-       "101805           AQUINNAH-MEN PND Q                  0   \n",
-       "101807           AQUINNAH-MEN PND Q                  0   \n",
-       "145824          AQUINNAH-MEN PND HC                0.0   \n",
-       "379548         USGS-414654070002901                NaN   \n",
+       "122052           AQUINNAH-MEN PND Q                  0   \n",
+       "122053           AQUINNAH-MEN PND Q                  0   \n",
+       "122055           AQUINNAH-MEN PND Q                  0   \n",
+       "170943          AQUINNAH-MEN PND HC                0.0   \n",
+       "420992         USGS-414654070002901                NaN   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode  \\\n",
-       "100462                           NaN   \n",
-       "100463                           NaN   \n",
-       "100464                           NaN   \n",
-       "100465                           NaN   \n",
-       "100466                           NaN   \n",
+       "120710                           NaN   \n",
+       "120711                           NaN   \n",
+       "120712                           NaN   \n",
+       "120713                           NaN   \n",
+       "120714                           NaN   \n",
        "...                              ...   \n",
-       "101804                           NaN   \n",
-       "101805                           NaN   \n",
-       "101807                           NaN   \n",
-       "145824                           NaN   \n",
-       "379548                           NaN   \n",
+       "122052                           NaN   \n",
+       "122053                           NaN   \n",
+       "122055                           NaN   \n",
+       "170943                           NaN   \n",
+       "420992                           NaN   \n",
        "\n",
        "                                                  QA_flag         Temperature  \\\n",
-       "100462  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
-       "100463  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
-       "100464  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
-       "100465  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
-       "100466  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
+       "120710  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
+       "120711  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
+       "120712  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
+       "120713  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
+       "120714  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
        "...                                                   ...                 ...   \n",
-       "101804  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
-       "101805  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
-       "101807  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
-       "145824  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
-       "379548  ResultMeasureValue: missing (NaN) result; Resu...                 NaN   \n",
+       "122052  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
+       "122053  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
+       "122055  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
+       "170943  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...  0.0 degree_Celsius   \n",
+       "420992  ResultMeasureValue: missing (NaN) result; Resu...                 NaN   \n",
        "\n",
        "       Units  \n",
-       "100462  degC  \n",
-       "100463  degC  \n",
-       "100464  degC  \n",
-       "100465  degC  \n",
-       "100466  degC  \n",
+       "120710  degC  \n",
+       "120711  degC  \n",
+       "120712  degC  \n",
+       "120713  degC  \n",
+       "120714  degC  \n",
        "...      ...  \n",
-       "101804  degC  \n",
-       "101805  degC  \n",
-       "101807  degC  \n",
-       "145824  degC  \n",
-       "379548  degC  \n",
+       "122052  degC  \n",
+       "122053  degC  \n",
+       "122055  degC  \n",
+       "170943  degC  \n",
+       "420992  degC  \n",
        "\n",
        "[218 rows x 6 columns]"
       ]
@@ -3020,10 +3020,10 @@
    "execution_count": 36,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:46.291431Z",
-     "iopub.status.busy": "2024-09-05T02:50:46.291100Z",
-     "iopub.status.idle": "2024-09-05T02:50:46.307983Z",
-     "shell.execute_reply": "2024-09-05T02:50:46.307569Z"
+     "iopub.execute_input": "2024-11-05T02:50:43.734837Z",
+     "iopub.status.busy": "2024-11-05T02:50:43.734666Z",
+     "iopub.status.idle": "2024-11-05T02:50:43.753019Z",
+     "shell.execute_reply": "2024-11-05T02:50:43.752402Z"
     }
    },
    "outputs": [
@@ -3048,10 +3048,10 @@
    "execution_count": 37,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:46.309978Z",
-     "iopub.status.busy": "2024-09-05T02:50:46.309576Z",
-     "iopub.status.idle": "2024-09-05T02:50:46.335064Z",
-     "shell.execute_reply": "2024-09-05T02:50:46.334606Z"
+     "iopub.execute_input": "2024-11-05T02:50:43.754724Z",
+     "iopub.status.busy": "2024-11-05T02:50:43.754392Z",
+     "iopub.status.idle": "2024-11-05T02:50:43.778648Z",
+     "shell.execute_reply": "2024-11-05T02:50:43.778160Z"
     }
    },
    "outputs": [
@@ -3086,7 +3086,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>269</th>\n",
+       "      <th>320</th>\n",
        "      <td>MERRIMACK_RIVER_WATERSHED_WQX-Hayden-Schofield</td>\n",
        "      <td>8</td>\n",
        "      <td>count</td>\n",
@@ -3095,7 +3095,7 @@
        "      <td>count</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2958</th>\n",
+       "      <th>3525</th>\n",
        "      <td>MERRIMACK_RIVER_WATERSHED_WQX-Manchester</td>\n",
        "      <td>8</td>\n",
        "      <td>count</td>\n",
@@ -3104,7 +3104,7 @@
        "      <td>count</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3439</th>\n",
+       "      <th>4105</th>\n",
        "      <td>MERRIMACK_RIVER_WATERSHED_WQX-Nina-Scarito</td>\n",
        "      <td>8</td>\n",
        "      <td>count</td>\n",
@@ -3113,7 +3113,7 @@
        "      <td>count</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4263</th>\n",
+       "      <th>5108</th>\n",
        "      <td>MERRIMACK_RIVER_WATERSHED_WQX-Misserville</td>\n",
        "      <td>8</td>\n",
        "      <td>count</td>\n",
@@ -3122,7 +3122,7 @@
        "      <td>count</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4561</th>\n",
+       "      <th>5462</th>\n",
        "      <td>MERRIMACK_RIVER_WATERSHED_WQX-Ferrous</td>\n",
        "      <td>8</td>\n",
        "      <td>count</td>\n",
@@ -3140,7 +3140,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>247574</th>\n",
+       "      <th>285707</th>\n",
        "      <td>11NPSWRD_WQX-SAIR_SWC_SR3</td>\n",
        "      <td>NaN</td>\n",
        "      <td>deg C</td>\n",
@@ -3149,7 +3149,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>254544</th>\n",
+       "      <th>301067</th>\n",
        "      <td>11NPSWRD_WQX-SAIR_SWC_SR6</td>\n",
        "      <td>NaN</td>\n",
        "      <td>deg C</td>\n",
@@ -3158,7 +3158,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>255792</th>\n",
+       "      <th>302315</th>\n",
        "      <td>11NPSWRD_WQX-SAIR_SWC_SR7</td>\n",
        "      <td>NaN</td>\n",
        "      <td>deg C</td>\n",
@@ -3167,7 +3167,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>260273</th>\n",
+       "      <th>306797</th>\n",
        "      <td>11NPSWRD_WQX-SAIR_SWC_SRT9</td>\n",
        "      <td>NaN</td>\n",
        "      <td>deg C</td>\n",
@@ -3176,7 +3176,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>379548</th>\n",
+       "      <th>420992</th>\n",
        "      <td>USGS-414654070002901</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -3191,43 +3191,43 @@
       ],
       "text/plain": [
        "                          MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "269     MERRIMACK_RIVER_WATERSHED_WQX-Hayden-Schofield                  8   \n",
-       "2958          MERRIMACK_RIVER_WATERSHED_WQX-Manchester                  8   \n",
-       "3439        MERRIMACK_RIVER_WATERSHED_WQX-Nina-Scarito                  8   \n",
-       "4263         MERRIMACK_RIVER_WATERSHED_WQX-Misserville                  8   \n",
-       "4561             MERRIMACK_RIVER_WATERSHED_WQX-Ferrous                  8   \n",
+       "320     MERRIMACK_RIVER_WATERSHED_WQX-Hayden-Schofield                  8   \n",
+       "3525          MERRIMACK_RIVER_WATERSHED_WQX-Manchester                  8   \n",
+       "4105        MERRIMACK_RIVER_WATERSHED_WQX-Nina-Scarito                  8   \n",
+       "5108         MERRIMACK_RIVER_WATERSHED_WQX-Misserville                  8   \n",
+       "5462             MERRIMACK_RIVER_WATERSHED_WQX-Ferrous                  8   \n",
        "...                                                ...                ...   \n",
-       "247574                       11NPSWRD_WQX-SAIR_SWC_SR3                NaN   \n",
-       "254544                       11NPSWRD_WQX-SAIR_SWC_SR6                NaN   \n",
-       "255792                       11NPSWRD_WQX-SAIR_SWC_SR7                NaN   \n",
-       "260273                      11NPSWRD_WQX-SAIR_SWC_SRT9                NaN   \n",
-       "379548                            USGS-414654070002901                NaN   \n",
+       "285707                       11NPSWRD_WQX-SAIR_SWC_SR3                NaN   \n",
+       "301067                       11NPSWRD_WQX-SAIR_SWC_SR6                NaN   \n",
+       "302315                       11NPSWRD_WQX-SAIR_SWC_SR7                NaN   \n",
+       "306797                      11NPSWRD_WQX-SAIR_SWC_SRT9                NaN   \n",
+       "420992                            USGS-414654070002901                NaN   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode  \\\n",
-       "269                            count   \n",
-       "2958                           count   \n",
-       "3439                           count   \n",
-       "4263                           count   \n",
-       "4561                           count   \n",
+       "320                            count   \n",
+       "3525                           count   \n",
+       "4105                           count   \n",
+       "5108                           count   \n",
+       "5462                           count   \n",
        "...                              ...   \n",
-       "247574                         deg C   \n",
-       "254544                         deg C   \n",
-       "255792                         deg C   \n",
-       "260273                         deg C   \n",
-       "379548                           NaN   \n",
+       "285707                         deg C   \n",
+       "301067                         deg C   \n",
+       "302315                         deg C   \n",
+       "306797                         deg C   \n",
+       "420992                           NaN   \n",
        "\n",
        "                                                  QA_flag Temperature  Units  \n",
-       "269                                                   NaN         NaN  count  \n",
-       "2958                                                  NaN         NaN  count  \n",
-       "3439                                                  NaN         NaN  count  \n",
-       "4263                                                  NaN         NaN  count  \n",
-       "4561                                                  NaN         NaN  count  \n",
+       "320                                                   NaN         NaN  count  \n",
+       "3525                                                  NaN         NaN  count  \n",
+       "4105                                                  NaN         NaN  count  \n",
+       "5108                                                  NaN         NaN  count  \n",
+       "5462                                                  NaN         NaN  count  \n",
        "...                                                   ...         ...    ...  \n",
-       "247574           ResultMeasureValue: missing (NaN) result         NaN   degC  \n",
-       "254544           ResultMeasureValue: missing (NaN) result         NaN   degC  \n",
-       "255792           ResultMeasureValue: missing (NaN) result         NaN   degC  \n",
-       "260273           ResultMeasureValue: missing (NaN) result         NaN   degC  \n",
-       "379548  ResultMeasureValue: missing (NaN) result; Resu...         NaN   degC  \n",
+       "285707           ResultMeasureValue: missing (NaN) result         NaN   degC  \n",
+       "301067           ResultMeasureValue: missing (NaN) result         NaN   degC  \n",
+       "302315           ResultMeasureValue: missing (NaN) result         NaN   degC  \n",
+       "306797           ResultMeasureValue: missing (NaN) result         NaN   degC  \n",
+       "420992  ResultMeasureValue: missing (NaN) result; Resu...         NaN   degC  \n",
        "\n",
        "[213 rows x 6 columns]"
       ]
@@ -3247,10 +3247,10 @@
    "execution_count": 38,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:46.337108Z",
-     "iopub.status.busy": "2024-09-05T02:50:46.336792Z",
-     "iopub.status.idle": "2024-09-05T02:50:46.408785Z",
-     "shell.execute_reply": "2024-09-05T02:50:46.408219Z"
+     "iopub.execute_input": "2024-11-05T02:50:43.780283Z",
+     "iopub.status.busy": "2024-11-05T02:50:43.780097Z",
+     "iopub.status.idle": "2024-11-05T02:50:43.855898Z",
+     "shell.execute_reply": "2024-11-05T02:50:43.855400Z"
     }
    },
    "outputs": [
@@ -3318,38 +3318,38 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5928</th>\n",
+       "      <th>5948</th>\n",
        "      <td>WWMD_VA-WWE1149PI</td>\n",
        "      <td>1</td>\n",
        "      <td>18.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5929</th>\n",
+       "      <th>5949</th>\n",
        "      <td>WWMD_VA-WWE1150PI</td>\n",
        "      <td>1</td>\n",
        "      <td>21.300000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5930</th>\n",
+       "      <th>5950</th>\n",
        "      <td>WWMD_VA-WWE1151PI</td>\n",
        "      <td>2</td>\n",
        "      <td>20.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5931</th>\n",
+       "      <th>5951</th>\n",
        "      <td>WWMD_VA-WWE1152PI</td>\n",
        "      <td>1</td>\n",
        "      <td>20.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5932</th>\n",
+       "      <th>5952</th>\n",
        "      <td>WWMD_VA-WWE1153PI</td>\n",
        "      <td>1</td>\n",
        "      <td>20.800000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5933 rows × 3 columns</p>\n",
+       "<p>5953 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -3360,13 +3360,13 @@
        "3                 11113300-01-BVR    1  21.000000\n",
        "4                 11113300-01-CTP   39  24.438462\n",
        "...                           ...  ...        ...\n",
-       "5928            WWMD_VA-WWE1149PI    1  18.800000\n",
-       "5929            WWMD_VA-WWE1150PI    1  21.300000\n",
-       "5930            WWMD_VA-WWE1151PI    2  20.700000\n",
-       "5931            WWMD_VA-WWE1152PI    1  20.000000\n",
-       "5932            WWMD_VA-WWE1153PI    1  20.800000\n",
+       "5948            WWMD_VA-WWE1149PI    1  18.800000\n",
+       "5949            WWMD_VA-WWE1150PI    1  21.300000\n",
+       "5950            WWMD_VA-WWE1151PI    2  20.700000\n",
+       "5951            WWMD_VA-WWE1152PI    1  20.000000\n",
+       "5952            WWMD_VA-WWE1153PI    1  20.800000\n",
        "\n",
-       "[5933 rows x 3 columns]"
+       "[5953 rows x 3 columns]"
       ]
      },
      "execution_count": 38,
@@ -3384,10 +3384,10 @@
    "execution_count": 39,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:46.411039Z",
-     "iopub.status.busy": "2024-09-05T02:50:46.410693Z",
-     "iopub.status.idle": "2024-09-05T02:50:46.620399Z",
-     "shell.execute_reply": "2024-09-05T02:50:46.619844Z"
+     "iopub.execute_input": "2024-11-05T02:50:43.857764Z",
+     "iopub.status.busy": "2024-11-05T02:50:43.857420Z",
+     "iopub.status.idle": "2024-11-05T02:50:44.099338Z",
+     "shell.execute_reply": "2024-11-05T02:50:44.098747Z"
     }
    },
    "outputs": [
@@ -3403,7 +3403,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3423,10 +3423,10 @@
    "execution_count": 40,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:46.622674Z",
-     "iopub.status.busy": "2024-09-05T02:50:46.622282Z",
-     "iopub.status.idle": "2024-09-05T02:50:46.894917Z",
-     "shell.execute_reply": "2024-09-05T02:50:46.894349Z"
+     "iopub.execute_input": "2024-11-05T02:50:44.101251Z",
+     "iopub.status.busy": "2024-11-05T02:50:44.101059Z",
+     "iopub.status.idle": "2024-11-05T02:50:44.370042Z",
+     "shell.execute_reply": "2024-11-05T02:50:44.369493Z"
     }
    },
    "outputs": [
@@ -3442,7 +3442,7 @@
     },
     {
      "data": {
-      "image/png": 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zz6W1tZWnnnqK2267jcOHD/OlL30p73U2bdrEHXfcUfZ9awXVMB/mvxU5+rxjtI4BAkMHdGBaYKGenbt8OlWGJ4CgIHwUwZUxC0oKDX9nZetDBxdpQ/XYUfLaSOq7oLG7cvczGAyTQkmhqWMeDhw4wPnnn8+WLVuStoeLL76Ys88+m7vvvjujbSgU4l3vehetra08+uijeDyesu6xcuVK3vWud/GVr3ylaLt/+Zd/4aMf/SjDw8P4fLmZPsPhMOFwStcdCoVYuHBhckUzF5DYODLeD7FRXdazoUsn1MuDHdqvq8a5/UkhIfEINC7BCpxU+b7ZMeSN32tBkUjlrVzQvBw1b7VOCW4wTIFQKERTU9O0/uYT9/iex0XDFFRMIyJcGY1X3fg0oRXEjh07OHLkCOeee25yXzwe58knn+Tee+8lHA7jcrkYGhrisssuIxAI8Mgjj5QtHH71q1+xe/duvvvd75Zsu2bNGmKxGK+//jorVqzIOe7z+fIKjrmEcvtRZc7EreAiCC7SkdjRMMrtwbLK+9wm1TfLjeo8D5m3WkdvA/hbdDoQg+EEQ3siTcEGUX3mB2CCAmLdunXs2rUrY9/VV1/NypUrufXWW3G5XIRCIS699FJ8Ph+PPvoofn/5EbHf/OY3Oe+88zjrrLNKtn322WexLIuOjo6JvAVDCZRyobz1M3c/lwfqzWdoMFQjExIQgUCAVatWZexraGigra2NVatWEQqFuOSSSxgdHeXb3/52hnG4vb0dl0urDVauXMmmTZu44oorktcJhUL853/+J//8z/+cc9+tW7eybds23vGOdxAIBNi6dSs333wzH/rQh2hpaZnwm641xI7q1BoS13mXPIG8CfgMBsP0UBEvpiqkoqPIzp072bZNp2VYvnx5xrG9e/eyZMkSAHbv3p0TPPfwww8jIlx11VU51/X5fDz88MN85jOfIRwOs3TpUm6++WZuueWWSnb/hENEYPyNlIomwdgRxN+OqqRrqsFgKEitqpgmZKQ+kZkJg9VMI2NHIZwnn1GCuk6Ur3nG+lMpROIw3IMMH9KpyX1BVHAJylsbn5thZphJI/UPG3xTNlK/byRcdeOT0UOcoIjEdW2HYowfRbxNJ1SxHYmNIod+A7FUNTvGjyGDr0HLSlTrytLXsOMQOQ52XNfI9gZTnll2HLBBuU+o52IwzAZGQJyoFEx2l4bEdfEd98wZnaeCxCLI4ad1rYrMI/rf438ATyMqsCD/+SIwcghGDjpFjhwsL9IwX9tpYmNO4hw3kiiYVMkYD8OcpFZVTEZAnKikD4CVaDeLiB2D47shfFzHabi8erCPj2fUxQaQgZeh8aT8P8aRg7oWRjbxsK6JnSh1qtzg9upAwugQElxmhIRhShgjtaG6sMos4FNuu1lC4jE4sl3bGtJ+YEopxOXXwXORtDQpkZBeYbgyY1zEjupaGPnQ+cy1h1c8DDjR5ZYNkWEY6dWZcCNDgNKFk+raCwYVGgxzBSMgTlTcdbqutB0t3MZVV/2DXP8LWhWWZ/ala1F4kfTkg5B/VTR+jKIqN6W0sIk7tbXtiCM43DDWl/kcY8Mw0oM0n+qUQDUYimNZCmsKKwirSlVMZl19gqKU0jmLCmJBfeeM9WcySGwMokMlGknmasHl04bnbOLR8kpfJH7EYuvNjuYVTiAw8DISGSqYyNBgSFCops1EtmrErCBOYJS7HmlcpOs6x0ZTBzyN4D8BVCRjR0u3UQqlLJ1QEEE1Lcv/Y7IstIQo8UNLH+wTQqKgABA4/hK4/EhDt05uWKU/ZINhOjAC4gRHueugcaE29Epcu2+eKInuiqnHMnAG8LoOaF6ev4lvHvB6kUuIo5rKIwxKGfLtiE5kaEegwWSZNeSi1NRSdqsq9SUxAqJG0Kk1TrCP01VeMkWJR1HzzoTgkoLeRsrtQywvSFQLg/SZfmKFEM9yn1WWNlyX6+k10oP4WlHu8vOLGeYGU/ZiqtKFqbFBGGaPuvbix51ZvwosQjWdXNoVtWmZDo7LuY7tlDBNXz1YWkDoknrl93m8DLWYwTDNxONxbr/9dpYuXUpdXR3Lli3js5/9bIa9TET41Kc+xfz586mrq2P9+vW88sorE7qPERCGWUO5vFCoUl3ii+6qh5ZTy7uevxWaT9ECIR6DWBiiY44HVLoQULrqXvDkMhzQsxqUU0/bMOdQTlW4qWwT4Z/+6Z/4+te/zr333stLL73EP/3TP/H5z38+o47O5z//ee655x7uu+8+tm3bRkNDA5deeinj4+XXez/BdBKGWkM1LkAsN4T2Z0ZQKxc0nQz1nZlV7iJDOnjO5YM8dbZVfRfia9Wuq5FhHWwXG3OC5BR4AtA4X+epUhaCFI6fQOWu/dUJYt8xzCgzrWJ66qmneN/73sfll18OwJIlS/j3f/93fvvb3wJ69XD33XfzyU9+kve9730A/Nu//RudnZ384Ac/4IMf/GBZ9zECwjDrqPoupK4TosPa0O6uQ2UHwo0dQ/p+B2NvpHZ6m6DjnJzUG8rlhcaF5d27oVuXYh3tg/AAqZVGHuEAYDLkGvIwmVVAxvnO/4nyCAkKFT5761vfyje+8Q1efvllTj31VH7/+9/z61//OlmCee/evfT29rJ+/frkOU1NTaxZs4atW7caAWE4sVBKgTeQ95iMHUX2/W+uO2pkEDn4BJx0ESq4aPL39gbBG9RxGf0vUtAm4W7UKxCDYZpYuDBzYvPpT3+az3zmMznt/v7v/55QKMTKlStxuVzE43E+97nPsWHDBgB6e3sB6OzMjIXq7OxMHisHIyAMVY/0/a6op5H0boPAginnU1LuOqT5VAi95rjgOlHXAN4gBE82cRCGvFRKxXTgwIGMdN+Fyib/x3/8B9/5znd46KGHOOOMM3j22We56aab6O7u5sMf/vCk+5GNERCGqkbCg6UD6uJhGO6BAlleJ4LyBpC21RAZgOio9nTyNet4E4OhAMrS6TYmfb4zEQkGg2XVg/i7v/s7/v7v/z6pKjrzzDPZt28fmzZt4sMf/jBdXTrLQl9fH/Pnz0+e19fXx9lnn112v4wXk6G6ycrmWrjdcMVuqZRC+VpQjSehGuYb4WCoOkZHR7GszOHb5XJh23qlvXTpUrq6uvjZz36WPB4Khdi2bRtr164t+z5mBWGobsoMpsubn8lgmCGmrmKa2Lnvfe97+dznPseiRYs444wzeOaZZ/jSl77EX/7lXyavd9NNN3HXXXdxyimnsHTpUm6//Xa6u7t5//vfX/Z9jIAwVDf+Vm0YLpbUT7kgcFJZlxMRfS07poWPu97YFQxTZupeTBM79ytf+Qq33347f/M3f8ORI0fo7u7mox/9KJ/61KeSbT7xiU8wMjLCddddx8DAABdeeCGPPfYYfn/5kylTk9pQ9UhoP3LoyYLHVcc5qLYz8p8rApFBXUciOqJtC4loa6V0tb2mZabedQ0ykzWpf7GojUZr8hr7YdvmHfuPVd34ZFYQhqpHBReBXID0bneC6RzvIuVCta+G1tPznifRUTj+gg6UQ5ETFS2ihcax55G2VUZIGCbNTKuYZgojIAwnBKppKQQWwfAhiI1om0PjApTLk7e9xCNw7PdpGWOL/ADFhsHXoP3sivfbMDdQTmqvSZ9fua5UFCMgDCcMynJBuQFxIz3lCYcEsREkNopy10+6fwZDrWEEhKE2GeubWHsRna/JCAjDJDAqJoNhlhERbU8QW+drKlYYyY6lvSjzx2flV1cZDKWYcsEgMQLCYJg09pFndFW3pNOdIA0LUZ3nOsWSsnDXpQXPpaXMKIgyqwfDpLGUwprCKmAq504nJpLaULWIbSN2HHvv/8DQPsACy+VYBF0w2oO8/lNdbjWbeie9gHKVZz3MkzrcYJjrmBWEoaLYw4fh6HPaQOxrgo43Y3nKjIZ2kNE+GO1DxNaDdn0HKjqsDckigFNbWgQkihx7AdV+VuZF6ju1HSI64ggIKZzwT7lMrWnDlJhyoJxRMRlqGTsegdd+lFn0JzoEwwexAwuxui8s6zoy+Jo+TyQ5o1eWG3zNOvJ5/BjKciFiowUFjotqpoBQykLazoSBV3WgHM5Kwo6TUfMhsSLxNk7l7RvmOMZIbTAUY8+jINH8x4YOYO/5AVhuZ7beBS2nolx1ukBQPKqruo0d0e3d9XrgTpD48bjrUJ4GiI1qASC2Y5MQZ7WRqUpSyqXTdx/bpSvLocBlpewYiev6WlHGQG0w5GAEhGHK2AN7CwuHxCxdbHA3QGwYhvbD2BGkbh4qFobwIMnVAOgZv7tBV4zLTl/gaYTYqFY1KUufJ8598t1dKaRpORx/SQsjvTPVwOWD4OLJvXGDwcGomAyGQvQ/n3+/y+cIB2cwj43oFYSvVXsZxaMQPp5qr1zgadDnKaWFju1yDM1OCVBnpq+USjk0We6iS3TlqUfaVsFIL4y/oYWV5YG6dqjvyu8FZTBMAKNiMhgKEc+zenD7SeY/Sh+ARVCRQSQ2ojNYKrczo1faqA2pGb5S6BWCDXic1+JcRquWEIHW00p2USVWCsHFSJp9w2AwFMYICMPUcXnBDqdeJ11LVeHZucuvz9Mn5KqSspEY4M4MgBMnYV/Tsgl11wgHQ6WpVRWTiYMwTJ2mkzNfW+6kWilvNnlfE2oiwgG0QdqOgR1FLG9iJ8w7s3hEtcEwAyRUTFPZqhEjIAxTp64zU43k2AuUsnK/+C6vXmEkKDOHvlJK154W26kyZ0HLaaiAMTAbDNOFUTEZpoxV34adiG6WhM2gwIwou76zspKuqmWjLNTCd5ha0YaqQVkWagoFg1SVlm0zAsJQGQKLtPuquPRYb6kCxuD0H1GZy+q0/EvJs0wNakMVYWwQBkMRrM43gX9eqnCbs5LItUFI5t8imXEJ+VAqKzsrTuCbwVAlJNywp7JVIUZAGCqGteDtsOBiR9VE0i1VRFKCIp9LrAhFVxPxWG4epblRSt1gmFWmJCA2b96MUoqbbroJgP7+fj7+8Y+zYsUK6urqWLRoETfccAODg4NFr/ORj3wkx6J/2WWXZbTp7+9nw4YNBINBmpubueaaaxgeHi5wRcNsYfnbILhUu58qF/jbdExEIg1GbCSttcoc6B3X2IzjkCsclMuJszAYqoNEPYhJb1W6gpi0DWL79u3cf//9rF69Ormvp6eHnp4evvjFL3L66aezb98+Pvaxj9HT08N//dd/Fb3eZZddxoMPPph87fNlZgDdsGEDhw8fZsuWLUSjUa6++mquu+46Hnroocm+BcM0oZqWIoN7EFeDdkH1BUEsZ7x3gt3sAiuJRNBcUnDk+eE0zM/Ju2QwzCqWmpKRGqs6V8STEhDDw8Ns2LCBBx54gLvuuiu5f9WqVXzve99Lvl62bBmf+9zn+NCHPkQsFsPtLnw7n89HV1dX3mMvvfQSjz32GNu3b+f8888H4Ctf+Qrvec97+OIXv0h3t0nVXE0obxDmnYUM70/b6fyTEACWl4z8SwmyVUeJZHyJS3ibtEHcYDBMO5MSeRs3buTyyy9n/fr1JdsODg4SDAaLCgeAJ554go6ODlasWMFf//Vfc+zYseSxrVu30tzcnBQOAOvXr8eyLLZt25b3euFwmFAolLEZZg7VvAxcdWkmaaeGA2SuFIqgbRdaiCjQNRvazjCrB0PVUauBchNeQTz88MPs3LmT7du3l2x79OhRPvvZz3LdddcVbXfZZZfxgQ98gKVLl7Jnzx7+4R/+gXe/+91s3boVl8tFb28vHR0dmR13u2ltbaW3tzfvNTdt2sQdd9xR/hszVBwVPBlG9qXtsVMGaZFEViXQWZkyEXH2iXZpbV6O8jVPf6cNhslgKb1N5fwqZEIC4sCBA9x4441s2bIFv7+4kTAUCnH55Zdz+umn85nPfKZo2w9+8IPJv88880xWr17NsmXLeOKJJ1i3bt1Eupjktttu45Zbbsnoz8KFCyd1LcMkqW+Hkf2pynCAFghpXk3RcadYT0rdpB2glLZTeJqg9bSqnWEZDLXMhATEjh07OHLkCOeee25yXzwe58knn+Tee+8lHA7jcrkYGhrisssuIxAI8Mgjj+DxTKwYy8knn8y8efN49dVXWbduHV1dXRw5ciSjTSwWo7+/v6Ddwufz5Ri6DTOLUgqZdzbq6C4glhEToQBiY0AcoiG9SrDcCAokjsQjqHmrtT3DYKhyphxJXQtG6nXr1rFr166MfVdffTUrV67k1ltvxeVyEQqFuPTSS/H5fDz66KMlVxr5OHjwIMeOHWP+fF14fu3atQwMDLBjxw7OO+88AH7+859j2zZr1qyZ8PUNE8eOjMDxPzi1plugaTmWq3SSPGW5oeMcJDKEGj6AhAdREs3KympDbNT5W8COYy2+ZJreicFQeUw9CCAQCLBq1aqMfQ0NDbS1tbFq1SpCoRCXXHIJo6OjfPvb384wDre3t+NyBpSVK1eyadMmrrjiCoaHh7njjju48sor6erqYs+ePXziE59g+fLlXHrppQCcdtppXHbZZVx77bXcd999RKNRrr/+ej74wQ8aD6ZpxrbjcPAJGD+a2jm0D/pfwG4+FdV2hs6wOnIIYuPgaUTVzcvJk6S8AWg9HYlFkMNPArk/qGSNh/ZzMRgMs09FczHt3Lkz6VW0fPnyjGN79+5lyZIlAOzevTsZPOdyuXjuuef413/9VwYGBuju7uaSSy7hs5/9bIaK6Dvf+Q7XX38969atw7IsrrzySu65555Kdt+QjwOPQ3hA/61cOtmesvSs//hLSGgf2GlpL5SF+FqR+i5U87KcehCW24vdfh68sTM3V5NT/Meqnzf978tgqCBTzsVUpUZqJXkT9tceoVCIpqampNutoTT2SC8c+qV+4Q2iXN6UHUEEosPkjWUA8DahGk+C5hV5dbMiNjJ0AEYP62v556GaT9bR1wZDBZiJ33ziHs+9/XQC7sl/d4dicVb/8sWqG59MNldDYfpf0v97gxm1oFEWEg9TUDgARAaRWDMqMgD+1pzDSlkopwSowXCio2ufTMFIXaX5vk3EkaEwdkTnVHJ5U6ogy6PVTLEysqmOD8DY0ZLNDAZDdWJWEIbCWF5w+VK2AuWGhJpJ4qXPj4chNoQM7tH5k9z1099ng2EWqFUbhBEQhsL4miEeTkU5u9yIbUOkeHbeJIla0ZEBrXJqPhXlaax8Pw2GWaZWBYRRMRnyYo8chpGezJ3KpYPb4mHKqgbnaUh7IRDam6eAkMFgqFbMCmKOIXYcBvYg4WMkS3h6m6H5FJQrLeL92PP6WMIQLU6cQrKeg0qenxeXL7f+tB2B6JA2ehsMNYWVqnkyKapz4mQERI0jIjB+HBnapw3LEkd5dFoLpXTdaOKjyJHfQdtqlLfB2Ze2SpCYtj9IPFW8Ryld48GycsuBuuuhfl7+6NDYuBEQhpqjVlVMRkDUMGLHkcNPO6oiBf4WXbyHVGh/yjvJjfTvQnW9xTk7LdJZbJAoxLNmSEpBfZdeGcQjegblrstciWRjUnUbDCcMRkDUMHJkZ6YdwRcomPNFKYXgQsaOoeradM7VjEhnQcXHEeXK9GCyw+Dyo9x+yrJL+Jom+3YMhqqlVlcQZjpXo0hsDEKvp3a4fclAHhFBYuNIbAxJK/2plIIxJ2uuv628BGKR4cxU3sXO8c9DWRPL7GswnAiYgkGGE4uRrEJKyqVtC9ERiIRIN4qJ5dUurZZbZ1UVGzrOQw5sSZYAVcoCt197MkkcoqM6s2s8gowf1+eTMGo7X/b0L72vFRpNPQ6D4UTCCIhaxU4PZNM1FogMaS+inLYRGHsD6ttRygPHdqGaTkEWvAuczKt4AxmnKG8AiUchPKhljR3TAkREG7Q9dTrQzvKAvzUnu6vBUFNYSjtsTPr8ImlrZhEjIGqVdF2/ZQF2fuGQRCA8BHVtWpgM7NaFQH3NJCrAKZVZGlS5PLpqnL8NGk/S51kek3DPMOeoVRuEERC1St088AQcoeCkyZBY8XPiY6kK0UrXjcZygW2jVKEZjq4ZrW0Lxr5gmJvUasEgY6SuUZRSqPlrtF1B7yjzTDvVNuP/IueXk5fJYDCccJgVRA2j/C2w6F1I3+8gPlrmSQXUQ8oqIgiqMwrUYJgppl6Tujrn6tXZK0PFUN5G1IKLkt5IRXHX5c9pr1TxFYhr4nXHDYZaImGDmMpWjRgBMQdQyoLOt2ivosKtkq6qE7u4pSO0DQZDzWEExBzBqm+DljPyz/aVGxo6Ua4CAkQkdwWS2Kcs47VkMCRW2VPZqhBjg5hDWE2LkEg/EhnS9gQ7rv233fUoy+sM+AW+qHYEnbEykZ8prhP6ReNIbNQUAzLMaWrVzdWsIOYagSUoieqZv2WhABUbTUVXp68WEv/HIzoCOzqkg+0iISfi2jFaj/fPxjsxGAzTjFlBzDV8QW2LiIczVwsS11HRLh+4vCDKSe1tp9WAgLweS1KdUaAGw0yh1BS9mKo0y7EREHMMpSxsl9+p95CNQHxcbwnKSpEhSDxS2IZhMNQ4tRooZwTEHEPsOEQGy0nMrbFLBMEpS6uYwscRbzM0LkRZxmhtMNQCRkDMNWKjKCehRkmyaz/kNgBPY0pVFRmAUBRpWl61MyKDYVqwlN6mcn4VYgTEnCOtdoNQwr1OOc3dTvt4ar/Lm0r/nU5sBKIh8JrCQIY5xBQjqaeUCXYaMQJiruGpB8uL2BG9kigqJJyVRsKAplz6/FIGtfF+IyAMc4patUFUp9gyTBtKWRBcnKZgSnNtTd8KfjXK+CLbJbLGGgyGEwKzgpiLNC7S8QyjaVXnXH7t4qostDdTRAfHJVxYk6uGMlRT8XFk+KAuW2oKBRnmACZQzlAzKKWg+dTEK/AGtTurciKllaWFhadRHycteC4eLXDVNCQO40dhYDcyemSa3oXBUEXUaKoNIyDmKuPHSHkhuXK/pIkaEO56nJqien88kj83UyFGe5BIqLJ9NxgMM4JRMc1Vhg4ASteMLjR7UU4lOpySpRLX50RHtAdTucWIxo7oVYrBUKMoa2pqoioNpDYCYs4SHdYDfDlLW6fsaDLNhsub6d5aKqwiOpysaW0w1CQlii6WdX4VUqVyyzDtTGrKYmmVlOXNEixlqJsG92IfehJ7/xbsnt8gQwcQk8PJYJg0hw4d4kMf+hBtbW3U1dVx5pln8rvf/S55XET41Kc+xfz586mrq2P9+vW88sorE7qHERBzlbp27Y5aypYgkjJMu+vQcRETm+6IHUMGXtaeU/GwTstx9PfI4a2IcYk11AIzbKQ+fvw4F1xwAR6Ph5/85Ce8+OKL/PM//zMtLaniXZ///Oe55557uO+++9i2bRsNDQ1ceumljI+PF7lyJkbFNFcJLNJurvFx7eKa7wsqAnYUvUKwUjaHfBSpJaGUCxo69YohmpZaPHwc6X8RNW91Jd6RwTBrTNURaaLn/tM//RMLFy7kwQcfTO5bunRp8m8R4e677+aTn/wk73vf+wD4t3/7Nzo7O/nBD37ABz/4wbLuY1YQcxTlDUBdh67rYEf0zuw6EBLTBmmxc1Nq5CN9NeL8LWn7lLLA06BXLwml69BBJB6Z4rsxGGaZRC6mqWxAKBTK2MLhfFmX4dFHH+X888/nT/7kT+jo6OCcc87hgQceSB7fu3cvvb29rF+/PrmvqamJNWvWsHXr1vLf1iQfh6EWaFmh/48OQ2RQC4p4VK8aIk5xoIR9oVx7gdiptiI5tjellF6JeBudPbazojAYDAsXLqSpqSm5bdq0KW+71157ja9//euccsop/PSnP+Wv//qvueGGG/jXf/1XAHp7dRBsZ2dnxnmdnZ3JY+VgVExzGcujDc52RNsj7GHnQJ71bsJeUWwtLKIT9Vk+Jyq7kMpJIe4GRwAZDCc+lVIxHThwgGAw5RLu8/nytrdtm/PPP59//Md/BOCcc87h+eef57777uPDH/7w5DuShVlBzGGUUhBYnOdIPsO1aANzIaO2CNjOcrgMDyldM8KJ2vaZxH6GE52pGqi1hAgGgxlbIQExf/58Tj/99Ix9p512Gvv37wegq6sLgL6+vow2fX19yWPlMCUBsXnzZpRS3HTTTQD09/fz8Y9/nBUrVlBXV8eiRYu44YYbGBwcLHiNaDTKrbfeyplnnklDQwPd3d38xV/8BT09PRntlixZksyYmNg2b948le4bAAILwddSuh1AbDRpLxARbV9ICAw7mlalrrTbq7ZNCAQWoyzPxPttMMxhLrjgAnbv3p2x7+WXX2bxYj3hW7p0KV1dXfzsZz9LHg+FQmzbto21a9eWfZ9Jq5i2b9/O/fffz+rVKQ+Unp4eenp6+OIXv8jpp5/Ovn37+NjHPkZPTw//9V//lfc6o6Oj7Ny5k9tvv52zzjqL48ePc+ONN/LHf/zHGT69AHfeeSfXXntt8nUgEJhs9w0OSllI+zkwtB+GD6QG+TzFgkREB71FQtrl1eUFJDOpH2hh4co/80leJzYG/nmolpXT8K4MhhnGYmrT7Qmee/PNN/PWt76Vf/zHf+RP//RP+e1vf8s3vvENvvGNbwAkJ+533XUXp5xyCkuXLuX222+nu7ub97///WXfZ1ICYnh4mA0bNvDAAw9w1113JfevWrWK733ve8nXy5Yt43Of+xwf+tCHiMViuN25t2tqamLLli0Z++69917e/OY3s3//fhYtWpTcHwgEJrQ8MpSHTgG+BAks1kIhoRAdOQzDhyA2pl1UJZpK5R2JaGOz258bJS1xnaJDcmMcEl5NKrBQlyc10dWGGmCm60G86U1v4pFHHuG2227jzjvvZOnSpdx9991s2LAh2eYTn/gEIyMjXHfddQwMDHDhhRfy2GOP4ff7y77PpGTexo0bufzyyzNcqAoxODhIMBjMKxyKnaOUorm5OWP/5s2baWtr45xzzuELX/gCsVjhIKtwOJzjMmYojlIKZblRyqW3xgWorjWoBRejTroI6jI9IrBjCC6Uv9VJ+OcCXyu0rYbW08GTu8JTlhvVvBwVWGSEg8EwBf7oj/6IXbt2MT4+zksvvZShXQH9e77zzjvp7e1lfHycxx9/nFNPPbXA1fIz4RXEww8/zM6dO9m+fXvJtkePHuWzn/0s1113XdnXHx8f59Zbb+Wqq67KsObfcMMNnHvuubS2tvLUU09x2223cfjwYb70pS/lvc6mTZu44447yr6voTjKcqM6zkFiK2HsGGCDtxnlK5KEr3k5EhuD8KBu76oDX5NesRgMtcRMR8rNEEqk3LzN2gXr/PPPZ8uWLUnbw8UXX8zZZ5/N3XffndE2FArxrne9i9bWVh599FE8ntKGyGg0ypVXXsnBgwd54oknMgRENv/yL//CRz/6UYaHh/Na+sPhcEaQSSgUYuHChckVjcFgqG1CoRBNTU3T+ptP3KPn+ncT9E3e2SIUjtJ970+qbnya0Apix44dHDlyhHPPPTe5Lx6P8+STT3LvvfcSDodxuVwMDQ1x2WWXEQgEeOSRR8oWDn/6p3/Kvn37+PnPf17yIa1Zs4ZYLMbrr7/OihUrco77fL6CLmIGg8FgKM2EBMS6devYtWtXxr6rr76alStXcuutt+JyuQiFQlx66aX4fD4effTRsgwiCeHwyiuv8Itf/IK2traS5zz77LNYlkVHR8dE3oLBYDBUnrR0GZM+vwqZkIAIBAKsWrUqY19DQwNtbW2sWrWKUCjEJZdcwujoKN/+9rczjMPt7e24XDqfz8qVK9m0aRNXXHEF0WiU//N//g87d+7kxz/+MfF4PBkK3traitfrZevWrWzbto13vOMdBAIBtm7dys0338yHPvShjOyFBoPBMCvUaD2Iiqba2LlzJ9u2bQNg+fLlGcf27t3LkiVLANi9e3cyeO7QoUM8+uijAJx99tkZ5/ziF7/g4osvxufz8fDDD/OZz3yGcDjM0qVLufnmm7nlllsq2X2DwWCYFDPt5jpTTFlAPPHEE8m/L774Ysqxeae3WbJkSclzzj33XJ5++ulJ99FgMBgME8ck6zMYDIapYlRMBoPBYMiHshRqCobmqZw7nZiIJYPBYDDkxawgDAaDYaoYFZPBYDAY8lKjqTaMislgMBgMeTErCMMJiYita0ooC1x+XcZUbBjvh7E3dE0Kdx3Ud4InULV+5obaoEYXEEZAGE4cxI4iof0wuAfiY7pIkdjgDULzKRA+DtGR1AmREIz2QV0n0rzcCAnD9GFSbRgMs4dEhpDDv0nVxU7U8bXcusrdwKsod4G8X2N9ejURWDCjfTYYTnSMDcJQ9YjYSO/TaeVQVdb/Vuk1+sghrYIyGKYBRUrNNKlttt9AAYyAMFQ/o30QGy3eJjZW/LgdhWiJaxgMk2VK0mGKBoxpxAgIQ9UjY0coOceSeOkVwujhivXJYEinRuWDERCGE4Cyax4Wu4bA4B5k6EAFLmYwzA2MgDBUPcrfQlEpIQKowk1EtIoJYOBlY4swVJ6EF9NUtirECAhD9dNwElglytY6nk0ZqeNFnM0GO6L32VEdK2EwVJIa1TEZAWGoepTlQnW9BZQr80BSGAh4GqGhG2VHnfgI0fvtiI6ZSCchLAwGQ1FMHIThhED5W2HBO5HQazB8SK8EXG7wNkHTclTdPIgMwOArpQWAu25G+myYO5hIaoNhllGeelTbKmhblfe4eJvBXV/cJdZdD97maemfYQ5ToxLCqJgMNYNSCtrOoLBLrD5uUm4YDOVhVhCGmkL525DON8Hx3RAZTB3wNkHLCq2qMhgqjLL0NpXzqxEjIAw1h/K3wvy1SHREp+dw+VCehtnulqGWqVEVkxEQhppFeRrACAaDYdIYAWEwGAxTxZQcNRgMBkM+lFJTcn6oVscJIyAMBoNhqtRowaAqtZ0bDAaDYbYxKwiDwWCYKsaLyWAwGAx5sZiiiqliPakoRkAYDHMIiQ7DyGEnl5VfJzgsVMvbMOcxAsJgmAOI2ND/Ioz0kPKpFBh8FQmeDE3LqtaT5sRgiqHUVbqEMALCYJgLHN/tCAfIqawUeg1cXggsmvFu1QzGBmEwGE5EJB6G4YPFGw2+hjQuQGXNgkUEIiEI9+s6G54G8LejLFeBCxlqCSMgDIZaZ+woJQt72xGd3NDXktwl8QgcfwliIyTVUmMCQ68jTaeaxIfp1GgchBEQhjmDiK1nygOvQGRIV6gLLka1rEB5A7PdvelD4uW1s1PtRASOv5hWWyO9lKsNA39A2s5EeWr4uU2EGk3nWp29MhgqjEgcOfhLpG87hAf0oGlHYOBV5PWfIKNvzHYXpw9PY5nt0hIbRgaKF14CGO4pftxwwmMEhGFu0P8SjPbmOSAgcaTnV4hd5kz7RMPXUqLMqgL/PFR6m/FjlMwgFz6mVxqGlIppKlsVYgSEoeYRsZHjLxdvFA/D8IGZ6dAMo5SCltPA8oDlA8ur1Wv6qN7fujLzJLEpabcAwK5wb09QEl5MU9mqEGODMNQ+sTEtAIqikPF+VHDJTPRowkhsVBub42N6cPe1gK8lx+so2V4EosMwdgSiI9oTyfIkDqYEhK8Jmk/NDZZLX00kVwkCpA9mFvT9DlGAJwiN3ShvU4Xe8QmGZeltKudXIUZAGGoOiUe0z39sVA+KvnK9bapvFiciMNqTqx6LDMLIYaT5VJTLm3WOreMewv1pg3sa6bPV6ChYeYaBug69orLtPEZu5RhV4yRXGfGjMP4GEliCMvEUNYMREIaaQkKva3tDYrabGMDcdXolUfhMVMP8ae/fhAn3F7CdAHYYBl9BmldqgWFHtUAcO6bPKweJwWgfNJ6UsVu5fIivVR/LPSklNJLCxnnOQ68j3gAqzV12TlCjgXJTWtds3rwZpRQ33XQTAP39/Xz84x9nxYoV1NXVsWjRIm644QYGBweLXkdE+NSnPsX8+fOpq6tj/fr1vPLKKxlt+vv72bBhA8FgkObmZq655hqGh4en0n1DjSHDPTqdBOkqEQAFLl8RQ60CbxPUd05/JyeAXj0UEA4JYqNwdCcMvgJDr+v/w2UYmNMZP5Z7bzsGY5P07CoVlFeLJFRMU9mqkEn3avv27dx///2sXr06ua+np4eenh6++MUv8vzzz/Otb32Lxx57jGuuuabotT7/+c9zzz33cN9997Ft2zYaGhq49NJLGR8fT7bZsGEDL7zwAlu2bOHHP/4xTz75JNddd91ku2+oMUQEBrIM0coCdz14AzrOwd8GdfNSuvgEnkbUgrdXXy4iOwbx8cLHxU5t6SgFlouyhUT2+aCFQ779OeeK3uIxiEX0NnZUCxjDCc+kBMTw8DAbNmzggQceoKUltZRctWoV3/ve93jve9/LsmXLeOc738nnPvc5fvSjHxGL5f/CiAh33303n/zkJ3nf+97H6tWr+bd/+zd6enr4wQ9+AMBLL73EY489xv/7f/+PNWvWcOGFF/KVr3yFhx9+mJ4e44ttQBtk0/32lQvcDWneOo43j8sP9R2OkLCg6y2oJe9GpccAVA1FvIhEig/gIuUHX+ULEoyPU5aAERti41q9JXG9xSNw6EkkPFDe/WuBGvVimpSA2LhxI5dffjnr168v2XZwcJBgMIjbnd/csXfvXnp7ezOu1dTUxJo1a9i6dSsAW7dupbm5mfPPPz/ZZv369ViWxbZt2/JeNxwOEwqFMjZDDZM9Y0145WT98PQqQYG/FbAhfBwiA9Xpz295QE3STJgcdMoYeOrz2F4sD2W5ucYj+ffbUe3hVNJ7rEYwAkLz8MMPs3PnTjZt2lSy7dGjR/nsZz9bVBXU26t1rJ2dmfrfzs7O5LHe3l46OjoyjrvdblpbW5Ntstm0aRNNTU3JbeHChSX7aziB8dSn/lYuZ8v/o1NKac8fywOjR6BvO7zxjPb+qSKUUtqbKC8VEmjBpaj0Z5egrr30uaWEqsRhaA7aI2qICQmIAwcOcOONN/Kd73wHv794kZFQKMTll1/O6aefzmc+85mp9HFS3HbbbQwODia3AwdqMwjKoFEun2NkTrhgloHlTcmQsSPaNbTaqO/UMQbZlCsfCs1Mfc3QegYqy3speZrLB40Lil/bjpa+f14vqBqkRo3UE1q/7tixgyNHjnDuuecm98XjcZ588knuvfdewuEwLpeLoaEhLrvsMgKBAI888ggej6fgNbu6ugDo6+tj/vzUUrevr4+zzz472ebIkSMZ58ViMfr7+5PnZ+Pz+fD5fBN5e4YTndbTYfx46ZltAlfW93LoANK8HJVtxJ5FlLKQpuXa02i0J02lY6feZ0H1hAXKRgtNF9R3QX03uDzlGeSDJ+tzhw+SIZEsDwSXwrEXKRlJXWWrsmlDMUU314r1pKJMSECsW7eOXbt2Zey7+uqrWblyJbfeeisul4tQKMSll16Kz+fj0UcfLbnSWLp0KV1dXfzsZz9LCoRQKMS2bdv467/+awDWrl3LwMAAO3bs4LzzzgPg5z//ObZts2bNmom8BUMNo9x1SPcF0L8bokNFf7Aidp5B0tYCpr6QWqfyiB3VRl7lAndd3oFbq5rmIb4mrQ5Ld99VlmOQzvNem5eDtxk9iFsT9tJSSkHTyUjjQi2gJKaN/P42lFLISK/jCltIICsdqW04YZmQgAgEAqxatSpjX0NDA21tbaxatYpQKMQll1zC6Ogo3/72tzOMw+3t7bhc2qNk5cqVbNq0iSuuuCIZR3HXXXdxyimnsHTpUm6//Xa6u7t5//vfD8Bpp53GZZddxrXXXst9991HNBrl+uuv54Mf/CDd3d0VeAyGWkG566DjbCS0H4b3F25nFzCuVkq3XwKJObmfIgOpnZYHaejWifPyCQrLg9R1wFhCbeN4MmWr1Fx+CCxG+ZoTO6bUV+XyQEOelXpgkVbNZbZ2hJXj/hqYG7Y/pRRqCgn3qs7F2qGikdQ7d+5MehUtX74849jevXtZsmQJALt3784InvvEJz7ByMgI1113HQMDA1x44YU89thjGauP73znO1x//fWsW7cOy7K48sorueeeeyrZfUMtEViol+1DB0hGVSfUHXYk1+spgTePvr+CSHQYhg9lCgYcbyM7CkP79P8NeuIjItrTavSIduNVSsd2xMbQ78sREiLaVhFcCp6GsgccnbNpRBuU3fVaGJSLv1ULiSFHEFtu3b/0Fc3IYR1ZrWq8Al2N1oNQUpX+fZUnFArR1NSUdLs1zA0kHoXxo1p3P9Kjk9blXSVoNY7qOG/6+jJ+DAZfLdLCSg2sbau1rj/0uhMZnQd3vR6MXV7HmB2Y0ExUQvth9DAZz8NdDy0rtJG61Pki0Pc7ndYjkc8p3/3986DtzBmfJc/Ebz5xj+P/spFg/eRtnqHRMC1/+dWqG59MLiZDTaPVI9r5Qeo7oPfp/Jld3X5oW5W7v0KIHYXBPaVakbRWjh/VAqKQcABtu5i3GpUv2V6pOw28kjfFBrFReONZpP3s0kIi3A+R407UNoVtPuNHtU1omldnhspTnesag2EaUO46mH8BNC3XenqcyOrmU6DrrWXNmidNUWNugrTj8XAZLqJ2/kG+1F2iIyXOExgottJxGDlMUj1WdHWgYKRETqkTnRoNlDMrCMOcQrm82runeXnpxpUkOpKbOjuht04fHBL6e+Uqnocp/boTZaiw8T513SHEtlHF/PPjEaCAB1UGou0+tUyN1oOozl4ZDDWEiOM+m11XQWxtLM9nBiy3hsVkZp7lCB4oOKhLPKLTqsdGASuVsK8gzkrNcMJhVhAGw3QzdKD4DNqOpTyAlAJvM8rbiHgadRLCYhTQ64sdSyUv9DRmVp4r16PIym0no0fg2PNkqssSXmKFVhOStAPVLDVaD8IICINhGhGxtfdU6ZaAC3xtEFysd9XP1/UdCmF5dOnR9KvYMe0qO3aU5CCuXEh9FzQucILu2nWbYih3TkS5RIZyhUP2wJZPSDQsqNJsuRWkRgWEUTEZDNNJbDxPyc48uOq0R1LTUp1eQwTla4LGAoFmyq1rSaetDERsXU0v2yAucRg5BAOvaNfU+q7Sfvf5yoaWtF1kqZmUG4LLtBOAYVrJLt4GMD4+zsaNG2lra6OxsZErr7ySvr6J5cYyKwiDYTopd2Lo1zYHGXxNey9JHFFuHcHcfCqEB5xAOUsn2vO1obJVQKNHIFbEaB3uh0gI5WtC2lbDsV35hVdDN8pJN6LtJ/0QHnS8qkrYGtwN0LREV/DzNmWqtmqZWTRS5yveBnDzzTfz3//93/znf/4nTU1NXH/99XzgAx/gN7/5TdnXNgLCYJhOXHVaFVQq86mrDt54NrOdxHSivNEj0H5WaTfcsTJmh2NHwNeEcvuRjvP1amPsiDaYexqgcaH29AIkOgrHXtC1r9Prexd9Hx5Uff4EmjXNLKmY0ou33XXXXcn9g4ODfPOb3+Shhx7ine98JwAPPvggp512Gk8//TRvectbyrr+HBHvBsPsoKvYeUs0cmk7RSEhYkfKi0soVLwno03Kg0kpharvQLWtQs1bjWpalhIOdkyvMOxEUGFaEF8xTDDclMguchYOFy+4VKh4244dO4hGoxn7V65cyaJFi5KF2MrBCAiDYRqRuFOOs5iqRSkdaVyM8HEkVsI9NRFRnShHmsjRlNGmzFxLo325Aqsc76cC9SVqHktNfQMWLlyYUeisWGG2YsXbent78Xq9NDc3Z+xPL8RWDkbFZDBUALFjWldvR/Ug7G/VKTCiToI9y40OGIunBm3L5aTrLrNmQnQkVUo1H/55jiE5SygIqQp75VSKA8cLKgtlgVgUrAHRsgLlzlOdbi5QoWR9Bw4cyMjFVKimTaJ425YtW0qWVJgKRkAYDFNARGC0N62ojqOrH9qHNJ6kbQtAsj60K88gMtXqcAmiw4UvJnFwB3LcYguSNF6nu7SiBZ0kIsKd9+tv1enF/WVeuxZJWwVM+nwgGAyWlayvVPG2n/70p0QiEQYGBjJWEX19fQWLrOXDCIg5gthxPZDFxsHtg/quSSV5M2QxdkTXdUgiqf+HD0LDQkoaeJULiJdoY4G3cPEdiQyVzstkuWDsKOJrTtoaCuJpcALtsl1Xnb7g0v1pW1W1tQxqmVLF2xYuXIjH4+FnP/sZV155JaDLLOzfv5+1a9eWfR8zQswB7IE90P8CunYAydmstJ6O1bxslnt34iJi69oOxRjtgYwiP3mo74B4VAvwQjR057q1Ztwnu3BPHsIDepUhgngaoPW0wuVVXX4KlxOVVJ+McNDMsBdTqeJtANdccw233HILra2tBINBPv7xj7N27dqyPZjACIiaRkSQIzt0kFQCBclCM/0vYGNjmUCmyREZ0q6oxZA4eAI6nUa+1N3e5lQwnB3RdozkisP5v64dAouL38cu7u2S6o8T6RwdgSPPIB3n5QgeERtGSwg+5UrGbhhw7ExTsUFUXtB++ctfThZXC4fDXHrppXzta1+b0DWMgKhhpP+lTOGQ2wL6X0KCJxefnRryU0o4JNvFUU0nI9EOrQaKR8Dl0UZlV70OQgsfB8sLjQv0akKiYPmgvgPlDZS+h+WlrFiFxECkFGDD0OvQlLWKDB8vXHEv+Z6cXE+1nkLjBOKJJ57IeO33+/nqV7/KV7/61Ulf0wiIGkXCg8Xz+KS3HdqPalo6zT2qQcqtH+FkMlWeRvA0JndLbByOPgvxMVIxBqJn5y0rUGkGZRGByGBKuGRHKdd3FFdR6R5kvhSBsWO5AiJfQaV8xMNGQCSo0VxMRkDUKFIqGVs6I4fBCIiJ424Ad51TH7oALn/eQVTnTXohLXAtK3dS/0vIvLNQngZdqjT0WmZcgnIjgSXJlBh4AuBvK26oznbDTKwisik3VqLcdnMBIyAMJxSREoFX6dR6QflpQimFuOp0rIPekd0CgkvzG3LHj5WoyyAw0oP422Bgd57DMQi9iiCo+k7dl5YVMLjXWUlkex+5CgxCefb5WkvHZ7jqMlZDpRARbSQfP6pXLr4mqGufO7maTlCMgJgC9vhx6NuemrUpS+uQO87Hck9j+cpyKHt2J6UNoIa8yEivHryVW68S0l1H4xFw1xe2H5RTKnT8KERDxdsM7UM8AS0UosP6OxhYrPsy2guR4cLG08RAnYWyXEhgKYSK1NBuOrlsDyaJjcMbOyESIkOV5vIh7efqrLWFzhXbiUR3VbdbdoUC5aqNKn7i1Y09dBB6fpW5U2wdyTp8CHvJe7C85c+wKo1qPAkZPVy8kRNhqxo6Z6RPtYSIpGb2EtP2Aay0mbcNkUEkOory5IkutstIAS52aXtAPAJHtmfuGz+mjdZtp+v03/lqNCT2BZfkv25Dt/5/6PXMjK+WB5qWo/xtpfsPiMSh77dparisutt9v0W6L9T1wtOwo6Nw6DcQOZ6MPBd/K6rjXFRdefeeUZw4yCmdX4UYATEJxI5Bz6+LNIjDgZ/Dsj+euU5l0zBfqwAKVSRLeFF2X2B82SdDbCzPs7Vz1TKjh6Fpmf7OjL2hNztaXnoNywdSJAFfMqI5D3YEjr0ErafD8T84fUsUEFJakLWszBmYEyiloPEkXWgo7KQQcfnA1zIxtdBIb6qyXaH3MLQPWlZqt+z9T0BsKC1iG91vl1sL3AOPI90XYs3VnE8zjBEQk0COOkFnxYiNYIcHsYosn6cXBf4ObYtQKnNwAPAGoPNNWOW4UBpyKcvFVYEdR+IROP5i5mqgaA1nh7r24vEIdgkhY4e1h1Tnm3RupXEnv5KvBRy7Rcl3YLky8jdJdBgZPqi9n7B1HEdgQYbHVQYlPasEhg9jB5fB6/8D/haUt02v0AD8zfo7PDYIbre2pfQ8hSy/orpUTsZIbUhSsrKWw8jhvDremUD6dkBor/MqLYjHFnDVobrfhnIZL5RJ46ojb9yBy6s9mxI2oNiwnsFnq4qUAooYgn3N2p4V7nfcYNMQcQRMGUJmvB9V3wn17XqbAjJ6BPqfJ+N9jx+F8TcQXyvUzdOG53T331J1MEAL273/A/Up1VG68BJvQN8zPJisky2D+1AtVZQFoEYFRHVaRqqeMrOrlTNLnAZkvD9NOEAyi6gd1wNSbKS8+gKGgiiXx9HTp/2w3fW6HoJKm3fZ0dwBPnmRPIZNy6uNzC2n6dl70HE/TggFOz2FdzmDSmW+gxIbd9K1ZF/T+TvcD8dehIO/RI69oI3L4Hg6Fe+nuPzg0wnq8q1qlFLgbUwNwpala1VUE4m+TWWrQswKYoLIaF/5v7nGBdPal0LI4F5KRdXK4B5U22kz1qeapGWl464a1jrzhDF6Ij/2hJAILtPJ7yx3xiCpfM1I80q9CslZbSQso0VUTZ7JqRBFRK8ORnr0+7NLJBMU0QO3HddJCu0YtJ+l04gMHyx+s2gY5ctvC8nA05ByDbbj2NExLE8Z5xkmjVlBTAC7bwdy6FeO4bDEo7N8WL5Z0u9H82ThzKZYcJehLJTbD/Mv0BMBl39qK0bLjXJ58tsFoiP5VVHJtvm+i05fJlH+U+y4jvA+tksLwOhw4VVQRl/S+j7aizj1rwks1gboWBiJjunNjmkh5G8rP2VJQpgmVlN9Oyf83qYPVYGt+jACokzsN57NVNsoi8IfqoKF75iBXhWgnFQJVol0z4ayUG4/at5qbfSftJpAFQw6E9EBc4VPzXdPRzi4/ZOzMw28ovMxTQmlbXCAeII6HiM2pr+b8bB+bceRtlXQcFLKKF0MO5ZSySnRLrDVQm3KByMgykHGj8GAEzQkor+o8UiaL3uWHnrRJVizVDxF7LgTkIRjd4jq/mb/AAMLZ75ztcxUotHr2gt75NjR8gy9SZVimn3CN/FsqxKPatfcCZ8oud+xeAQZO6ZdwvO540ZH4NBvUO2rIDZeUEhIwiAfGXNUWROsxGeYNMYGUQZapy/6S55dGD7hamh5weVFnfzHsxtXMHZU9zE+nvUDUtqPPTGj9Jni8hXF3wIj+byNnM8goYLJ/m54g8Uj2ScdYSupYLfEHjuma1+LgKcxf9GgyACTNmxnD9huP9L/YvE+jh/VRZdGj0LwJCd+L82DSUSnERl+Q6uixKPPc3lLZ5ydSWrUi8kIiHIY79c/qmzhkI4d0VHJs/xBy/ixAoFJ4hj49I9LmfxLlaWuU6tUEoNktlFX0IO9u1FP9i2fji/wtRT9zijLrVNpRIvk1lIqd3AOnoxykgSK2BB63VFVpdpJXQc0LStcNKgcErN+yTZiC1I/H/p2lLiAQvpfhvAQDPVCXQvi9qeeiR1Fxvq1ekoEwsN6MlbnLxwkOBsYATGHUSrPl1HpIB5fk/Z5Fxuiw0h8HOWaviLiJUmowgoRD+v+es0KoqKkR0cX8vgRW6v/5q1GTeT5BxZC0Zl4mseatwkaF6Lq5ulbiuhzw/25p40dgegIMu/sVD2QcvvlrtcTEZH8A3VwKcrlK28tMrTfGfxDzoo8hljOSiFbvabQk7GxQfDWYQ/1YgUmbog3lIexQZRDXUdW7hwFwYU6MMjSnifKcukf17HnkejIrHRTIsM6lUMpLI+pBlZpRpyI4XIC2MoNtHRQ/lZoOjn/QXc9dJ4P3W+D7otQ7eckhQOgjc35hEOC2EhGtLNy+TIip/P0BvytqK63QNfa3O+R5dXuv82naNffkjUz0tRw8ZiO/rZtrQp1+bRrqziZAJLFjtDHxYbep0pcf4YwcRBzmMYFcPT51Ov6eeDy5agGVGKlMfCynpXN9IeerlpSLu2XnnQLtFMz24b5s64KqzkSWVfLMZyGBxA7NqFUEaqhW0crj/bpz1lZuiKdv7X4Z1ky1QXaKJ2e26h5pXaVjuWZ6Lj90HK67pO7DjrO1UF00RHdJ19mISNpXg7HXsi9TrKBswJJ2GjqmkFZyfekXWGDuk14MOUMEI9A3E4WY5p9puqKVJ2/RyMgykD5WxGlnImhcn4ERT5QO6ITi3mbYLxf566xYzr1c3BJfuNgJXA7PxbLkzkjSaR1cFnasOc1VcAqzwR/4HZM2wbG+vQsX0SvQOu7CifQc/shOMHU7OW4PDttxI7poLaRQ84+lRqQXT6dALKhO0ewKbc/9d3L7nPrSmT4kB7cC66slPZMamwHVO7Ey7K03PU1azWUUnqyYwGB2QlGnSsYAVEGSimk+RQdzerylpfNMhJC3nhWz/icwUMQOPp76DwflUihUEk8Ab2sz7dkTSTss9y65rGhsvia9Ww9PTFiQSy9Chh4mYwo6NgIjB5GgstTleKmSjnxLhJHDv3aCVhLXwElZvcWtJ42MbuJg7I8sGidTnA5uCdlU/C1QCwC8RFA6VQa+YRDRg1tpYVUeACIADaqa82E+zQt1OYCwgiIclGd5yIjPSWqgKWQof0weiTxysmho1U8cug3SOgQuL3a06RpmZ6FTRGJR/RMrNAAlVgFJbJ6nsCI2DB8EAm97qg3XNDYjQouTXrvlHcd0YPy4GswftxxpXQGRsurja0tpxSc1Sep78yYDBSlbl6ucEgn9Criqdc1rKdKfSeESxUnUnmEQwLnWRx7HulaOynVpLI8qI6zkfYztTeScqPcfuy+5+H4Li2AvPVlXFvplU1Dp84mOz6A9DyNOmnthPtUcYwX09xGKRec/F6kbwdSjkvr6BH0j0sgFiZneT3wCiilB7rD26HzPFT7mVPsZVZK77xvhDIDr6oXERtJVPKzPE4lN4HhQ8jAa0hsDBIFL9pWYc07o8B1BOn9rTbiKksbPmM22M4kID4Ox/+ADO6BReuKzqCVu06vMgdeIcPwmo0TL1M0fxJol9TmU0s8iTLwt+mVZTE3WZHS/YmP6+dUZqGgfCjlyogYVx1nIMeeBTtenuBRjreWUtr2EI9q+4YRENOG8WKaAEpZWF1vQjUtK/qFFqxU9HLMiT3I2zCxXw940p+n9vBE+leu0fNEd3EdeBUig7pSm+XWHmRxW+u5YyPowc4Z9I49h737Yeys2gkSHkT2P67Tcbu8jmrOrVUd/ra0ADXtaik9vymZDkL5W2HeWU5upjoyf15Kewe1n118sE4QHij3aRTHjunP23aCPONRJ6tvgYywlk97RrnqyMhKi5pYnfMyUErpzy0wv6Q7bErV5NY9TtjRZidh8pzBrCAmQ12nXurm8xBxNzgrBopHeia+8JL8BzmyE1pOmXQhd2W5EX+rDuwr1q6Qy+QJgIggQ/uThn6llFathfspPFoIvPKf2KdcCcdfhuEDIHGU268H/UR+oMSs3/LoWXdkMHV+JKRVc0VdQB2DbWARBBY51x7XA7LbnxTgMoFRTeIRHeQWG9eCLLAYVWYGU4mNwZHfZRmqHZWR2FoAKGeVa3n0dzcdt19/h6PD+rzpqJvsq0e5fUg0a1VreUgKLztN/eWud/phO/9Xi4SoTSPElD7xzZs3o5TipptuSu77xje+wcUXX0wwGEQpxcDAQMnrLFmyRMcSZG0bN25Mtrn44otzjn/sYx+bSvcnjVIKFVgMrau0sPA26Vln06nQeoZThF3KSwWQvhKJjZUXx1DscvPOKt7AG8xJwXBCERsDy0LiMSQyoqNsxwedwaLY19mGV36AGt6vB0fLjdh2KolcukrIjuqVSIYLpSopeLNRSqHcdShvY+bqrpwVnDeI9P8BOfI7CPcjsRGIDCBHn0Xe+L3uexoigtjxzFXOsV1Fov/TAtyUKyUcsv3y09VCk8jtVBJfo06ngaWH+oSgsrz6b8sDnnrE8oFSKLebpDHb36RdcqsBEweRyfbt27n//vtZvXp1xv7R0VEuu+wyLrvsMm677bayrxWPpwLRnn/+ed71rnfxJ3/yJxntrr32Wu68887k6/r6PMXgZxDladCBPFlIYDG88ezkLjpFDyPV2A2db9Y6+uzZlTeIWrjuhI6BkMgwRMNOzEeazUVIeboUTMEQ1+eDzp0UH6doqumMY45NoxLUdRXP0Apg20hkMHnPxGem1TJjevBvP0u7po706FgGOwYoxN+mvaoSSRsL3wTEAo8TzJbve6GUs9Kwpsd2pZz6Fy4Pyo4XDKxTlhtJZnJVOnjO24Ba+NbK98mQZFICYnh4mA0bNvDAAw9w1113ZRxLrCaeeOKJsq/X3p65bN+8eTPLli3j7W9/e8b++vp6urqqJ6xexFE9iO0kP9M5bZTLA11vRvb/fOIXnaR9QCIh7YkTHdUlLxe+EzV2BHGCi1RgITSeNGn1VTWg00a8kCkcEqSr7JQrv5DIfu+xMmIELHdqJdhQme+ecvuRplNg8JX8DRoWai+4tICxbCQ2CpERGHw5K/eWkwCvnAC5RHvlLj6DFQHl0UKo0lmK7RiiLBRKq9DSI6bTUQqFlSmnxdbqxuCSyvZpMiimaKSuWE8qyqRGi40bN3L55Zezfv36SveHSCTCt7/9bf7yL/8y58fxne98h3nz5rFq1Spuu+02RkfzJaXThMNhQqFQxlYpRAQZfA15/X+Q/VuQAz9D9v4Iu2+n1hkDKrAIWlaUczHnDwUNXagJZlkVEey+3yF7fqijvQdf054d+7cg0RFU9wVY3W9FBRae0MIB0F5LkSGK6p0Tq4h8pKt5SlVIy7yoDmCroHFf1bVD21ng70ipUnyt0HpG0vBeNImfUjCwu0Bixol2pkwPounInhoOoeIRkjaOUn1xVIESj+pJQDUVDVJT2KqUCa8gHn74YXbu3Mn27dunoz/84Ac/YGBggI985CMZ+//sz/6MxYsX093dzXPPPcett97K7t27+f73v5/3Ops2beKOO+6Ylj5K/wvQ/4fMnbEIDOxBwgM6T5Pl1VGkoX35YyeSgiFNTeJuRIYOOjP9Mr81x56H/pcyr5Vg4FXE5UN1nFvmO6tuJLS/uEooQUIFkaNia9BZQymRmTcblxc1v/KulMrTAM3Lc/bL+EDJc0UEVSwmp+zJgHIM1iXa2zFtIK40lgewdZyQ7ZRuTSQOzEYpx6fDTnmC2THsWBjLXSrnk2EyTEhAHDhwgBtvvJEtW7bg909PDpRvfvObvPvd76a7O9OQet111yX/PvPMM5k/fz7r1q1jz549LFu2LOc6t912G7fcckvydSgUYuHCqRfJkchQpnCIhfWPp64VnOhXGe/XS+KxPlTHaqT/1dyEacmZrjiFfWw4/gpy/GWtP156qU7NUawvdgwplucGoP8lpG3V9KX3mEmm4vqpHDfWhNCIj2tVVCn/fwG8gZl9fmUEyOm8X0X6njTaF3t/zow9HtG6/3yTksREJjaWma+pAtg9O1L2j4Tgj8cg7sQ5WLlCS+F4rSXrbKCz0s52ASwTBwE7duzgyJEjnHvuubjdbtxuN7/85S+55557cLvdGYbmybBv3z4ef/xx/uqv/qpk2zVrdIj9q6++mve4z+cjGAxmbJVAQntJrgljYW248wVRDZ2ZXlaJE6LDqHmnwcnv1QZtpfSP10pLpufyaHfDxOAVHkT2/BgpYRSU4R4tXJTL2fJ8nGInSz/WBmV8ZbMzqiq3FuA5z7MMFZMdyVRNzQCqrk0HAxapsCblJAV0eXVcQ/67pL4vdsRxfc26X+J1JATNy0tHk08A+8hLEOkrcFS0IT7f+09EuoMj9F3FBeWMMRX9UvXqmSb0zV+3bh27du3K2Hf11VezcuVKbr31VlyuqRWhefDBB+no6ODyyy8v2fbZZ58FYP78+VO654SJjqC/wLHUgFPfnqx8lZfwcZ1kLB7OHcQTuXtcHq2mAn396Agc3wNt+d347LGj0LvNWaKTOo9USo9U4yqqvDVJ7OOvarVCIfVROsoC5QMs8Pj1QKmUNuCnk1StFLhWIgK+UnmRJoAKnoyE9uZ8rxJCQ9V16upvRdVMSgfuRYe1gTke0Q4Myq3dqTNcrEf1KsLypvbbEf3daT4FVeHVA8N7wLJS9uZEepPk4K8gNp4T8yHi1IhQLqeqXBTqq8dxpdaYkIAIBAKsWrUqY19DQwNtbW3J/b29vfT29iZn9rt27SIQCLBo0SJaW7Uf9bp167jiiiu4/vrrk9exbZsHH3yQD3/4w7jdmd3as2cPDz30EO95z3toa2vjueee4+abb+aiiy7KcbOddiwvJHPXoPXTJdQPAo5XSZEcSUB2nV0Z2AN1rUhkTCcKTAaDWboPGYnMSHnwQKau3tdc5purTuzouPZeAj2I2LHUSiwbywP+lqRBXuLOIB8O5Xo2JQYlOwpuH5kqv7TVRjkJ7yqMcjym9Io1HUE1dKOCS5DRI4U9oQB8zVpN6Q3oJHfpVxk/BkMHnWBApb8jgQXgbdZCJz6ejEmotFu0HRvPFA52PP9nEx9HlEu7wJL261HKyV0miFLVYX+oURVTxdfO9913X4Zx+KKLLgL06iBheN6zZw9Hj2YmjHv88cfZv38/f/mXf5lzTa/Xy+OPP87dd9/NyMgICxcu5Morr+STn/xkpbtfEhVYoH+0yeVvmSoP5QzqxdJuJPz5E4z2IXv/28ndk47zYxIrJRAgtRpRLn0fsfUgUTf5/DlVwZHtjq48qme1QDL1usunBxflAk99sk6HnpHGtN3CjmcKk3TVhR3VF4sVmYmPHYXmXDvXdKMaulANXdrxITKso7H9bamYiPoOnRdsaF/6WYCAJwjNhb3olL+tcF4ld53epovxo2krBztXOKQTG4G4yylD6kR+Z6z6qsQzr0YFhJJSCWZqhFAoRFNTE4ODg1OyR4gIcvCXMHSAVCrkU0u6kMpIrzb05Zst6Qs7M9esY94SP9SE/SEbO64XGYsvRVXad32Gsff8UAu7fOoUlw/8bSjLlVK/JNJvjL4B2BBcpj1wBtKcC5RyPGfK8Gbyd2ItqbxLd6WQ2LiuKxEb1/YS/zwdFFmlg449fhzVuxVw3FVLZ2JybHbunHxjEo9jLbk071mV+s0XI3GP47/8Z4KNkxeqoeExWt7+t9Pa18lgcjEVoKBNYeyoHugTX2rRSeLE15y3fVK3GhvTOxKCJFtI5PNKKcc4KnGS3iipm+pl+NJ3V9R3f/awC9tR4mEY6UHcDcmsrhId0y6TAL5WrPlvBkBaliNHdzklPxMzvhL2DCynZkH1ovM/LZ7tbpSN5W9J860qZ37qtLHjGb8JrX6qkhVEjWIERBpix3V65/4/QHRYfwGDS1DzVqF8zchoH7LvcUikHBbHjXDkCLjrEZc3r0FRz2QdlAKsXAFh25mqD6Wm5j3jaawR4YAzPpTwVImNOJlcE89fq5/USRcmmyi3X9sk7Jjj4eN34iEKCQlHhTcn1tgzjCiUmkjaQsj8IKypq3UqSY2qmIz4dRA7huz7KdL3Oyd7JXoQH3wNee1H2MOHkcPbSKWSxhmLnMF+cC+MHdNCBkc4REdg+FCuaiRftG8iB5PL67jBesCVcF9NqJEKfYnypJ1omnmd+bTh7yp/kE4Yr5uWohZfklE8SEScHEiOJ4zbrwUzLr2lP+t0F0pvBQr3GDJQSy5xPtJyBsasNspyjNzV5B5q3FxrGnnjOa0+yj2iZ/YHf5HynkmglDP5dAzQY8d0DepEAZtiJAzKoH3VV7xf1949/qpOmeF260t46lIpju2o9knPiQLOUi+5/ajWMtJ8nCBYC9Zi795fTkvHjhODyFj+gvYJNV4iGtffoj15EtG7aZlPEFsbuutm3s211lHKBfMvQHp+XToJYNK+pxzh7QyopYIFDVPGrCAAkTgc303RQb3YlzgnZW8io1iR2YGktbEjqPiYnu3Wd2nhoCxonK9rE3satFeJN6iT7vnT0y5n2R/cdbBofdUaKCeNVU6aB+d5urwwcgg59JvMo0plJkOMjulT0lM7ZH9c/mZUyymT77ehIMrXBCe9PdcxI6NR2vfb7XNe63263kaVxPjUaLpvIyBAB1CV9GYpZcx0cPlJPdb00SZhnJb8s55EUZfebfr/uo6k/316hDagvZIS6RiSqicF7Wehlr4HyzO7adCnBV+dfvzZH0Fyxu8G4qkfmrJgaJ9OjZKGakkr42lHi1dJU0qrCQvlBjJMGcvbCIsvdYJE0wfJxGrB+d0kEho6n68kouWnmL2hYhgBUcOUldgsEV/gYHmd+sJ+rct2Oa8zdBRk/Z1IbZD7pRYUcuxFXQ+5oRvlqXMEgqNTT7ueiGjViOUHtxfcHmg5BavlVF1+8wTHjo1jv7EL+8iz2GPHkOiIU3/amU1m2CotLRySRv+0g5YLQlmqqaaTU4GD5WQPhUwnA0PFsbyNqHmr9ArB5Usl7Et8Ni6fVpuS5vghtlMoqjoH1lrB2CBA6/i9wdIFVjyNzkojMUvNskeUs8JQLiBtWZwIbNu/Rdeyblme8l7K+fLre+gCK17E49X69oYFWO1nlb53lWPbMXj9f3XytQRvPItY3pRwyDvbyrMic4SrxCOZolpZWrtnT0B3bfTc049CG50VoNwZMS3aTXxcCw07roskJdLWqCoZwmrUi6lKnu7sopRC6tpLC4j0XEp5Mk3mTS5WCok7aTEUNHToYKB8X5Z0o3YCXxu0noZ1ggfCgU61wqs/SHmQZRyMgK0cHfQEfkgi+dOMRAYzBX0p/HmuYags3mYgtdrL/g2I2BC30+prW1rI1xevEW6YGkZAJPA0kJ0LKRMrJRySKS2mKPXTs466fWWleU7aQpQLNf/NJSO4ZwN79AiEXtezPl+zTvTmby1uOB94Nb9wSCJO/IKnSJv05o73WdYAInY8zQtMUmk4CvWtvgtV1udSnRRNIllNNHTB8ZeKO4PYMbRXoQJsUAItp81UD+ckRkA4KLffqXmb5TqXtAO4s/ZN5WaJ+yRUTc71S1QRSwgmAVR9Z9UJB3v0KBz6ZeaPfKQH6X8RfE3QfWHhGhel6lqAHiCsrPKYSUGdZftJfG6h12FeWoLJoX1kqKTiTqK+bIEvApYH1fmm0v2qMsSOQWivzhkWG9MBnw0noZqXl6wxMlsoZSEd50Lf75zfn/48kwJO4rmOJPXzsdxVMoQZFVONE1wCR55xdKB5DL3lfID51EDZpFfvSoxriRmsHUNUYSEhIrp7nsaKF2+ZKvb4ABx4PG1Pmr1AdDZV2fe/yML12uYz1qfVBf42LH9z8WR5pRA75VmcXsLVcumMpWkCQoYOZJ+cymGUED7irFY6zkOdYB5hYseQnt/oVODJnXEYPoCMHETqu1HY+r3Wd0JdZ9U4NihfC9J9gU6FMnLYyfIa07mmsjMP1HVgdb91djqaDyMgahvlrkPaTi88k00f2NNz1mdcRKUdT4xYae3T/TQThuj0HEPRYSeNcYE+KqVjIIInV93qgcNbU7Nw5RRDSn9OltKz9Ve/n9rnYHsaJ2hbyFYDKq1uSBg502ND0tKei9gweoSUZE7DjuXke0qk3D6RkON/cFJ45xzRn8fIIcTjpPAOH4fQPqT9nKLfu5lEueuhZSW0rExaiOzRN3S6+3hYq4JbV2H5qmwlZARE7aPmnaU9KI69QGbt4yy1Uzn2h4yVhJBSaySqyTnBcLExx1BtQ3QU8YwnU1ZnXk50nevgsqrTKUs8nCoHmq7PL2Rsz6ao7SENy0PewT07WDB1s0wj9fGXnVKjKvcS2bj8VauOKYTYcQjto/ibc9KgK8eWEx+DY88hHW+quu9VAqu+3RijZwkjINJQSml1ROtKXabTjiIo6HmKpJE0PYFe9koiQyikqVeUctJxiDO+xbW8UC6tbomNOtW+/Nrn3t+MeBqTP1gRGyJDqODS6vwRJyq1KVXY4CviVGibAi5PASeCtNVa1n7l1HEQEaT/pdShog4JQNPSqfR0doiNZk1sCmDbmRFQ0WGtkvKd+N5ws4dj85rS+dWHERB5UJYbAgv1rP3Qr0nOyBIDu+XOLxwSW/pyU5E6PyNnkrNqSJTDjIdTHjVj/TB2HHH59Cmxca2LjUdRzcun++1PnPSCRoUEmJ1VBrUg+VYIyrlHmbEmCZpOTpWjtKNOudiEF5hCJ1rMDs9WevXQWnnvGLFjjiu1gCeIKtcjq1zKVTvmfEQKxo8bATEVjIppDjLam6rWpRLV2xx1U2L2mWFLyJ49pw0+eT9/Z7mfSO6XuG7Cy8ke1/d0eQAPxMexR/uw6jsr/langvI0IO764vWRS6XrTpA0FDvtE6sSKDw7TgiohA3BG0C1rNCp2tNTb6R6TFJIJEu0xpNCQ3WcjfJVLlW6iA2De2D4YNqqRSH1XdByak4RnEnjrgd3g5P2vAh5g8tMTnNDLkZAFEGOv4z2hnGT4T4pkFPqM5/nU1k3SdSBUJn7LI+jUkm3d1jQ+zTSuiqpOqkaus6Hg08WaVDmDEkxgeepdN2LpZfrYMdEyvQ8wYbKciN1HTD2BiCOPSNxUIE493PXVzQTrojA0V0wnp0pWGD0sK470nFeRTyJlFLQciryxjNFGrny3EvA2zTl+89pEkkEp3J+FVKdvaoWxgecRG1pLpuQ+jt9DJrSElEyvyDKSgWE5aTzAOl/HikV9T3DWI0nQddbcgsfJRuUOxcp9hyzjrm8qJPelhQGyuXRW4HPQs07w+lLlnBP/z82ir33p2X2tQzGj+URDmlEh7SgqBSNC9NqUWd72Vn5a027/IXrUxvKRFVgqz7MCqIYlgvixRK6qdT/liulz5YCg2QhRMiQ1Vb2yiH3vhLaq72uZhGJjiKDr2vVkq9JR4JbdSDj+fvv8mbVslCZidky3IGzmLcahnv0gGp5UcEl0Lw8xz1T4tFUBtY0Qz+AajwJsdISH+ZzUxaByHHs8AiWr4EpM9JTus3wIWhcMPV7oVcRqnUl0ngSMrRfG6Att7ZxxcZyhadyQ9uZ1en8YJh1jIAohr81VUu6EFZaSuKE+ilhxC5VCCUd5fyTsEEU/cGKNirOEiK2rrUwtI+U4dhZ9SSimhP1g9MDzxJGeLH1eW6fvmD6LD6pbksJCdW2CtV2BrSdUbhP8TDyxi7dp4Se3xOAttNRwUUA2MdfSzk8FXq+if2HnoCTL5/E08minADAqQQJFkB5A/qZOegYkD4YOaS9ziyXNuA3LkC5fBW//5yj2Heq3POrECMgilHfqWd3hchKw633pb223GUICWcwjEXITFld5BuTGHBnCTnwS+0GHI+hc+J4wOsYihMpLojnDnzJY5Yup5rcl9UmISR8TTpi3NeMjL0B/nl5Z7oSjyD7f+54KaWtPqJDSO82pP8FvSobO5qpKiz4BgXio+U+juKUo1qrtDdTHpSyoGG+3gyVp0ZtEEZAFEAkrgeoYhSb6ScHQxdQrKhJwk02zcvHjmUUR8lLeACJhVHumZ392ZERrTaJR0gOxh5HzZMtHJVK1dpOJ90zKR+J69hxGHg1NeS762DeWajG7ozm0v9SrnBIJzJEUvVX9g+xQj/Ycu5nSpoaqhQjILIQO4ocfUG7JdpRikbplrOkdHkcD0/JcHFMJQF0rmG5UquCeLSwHSKhp49HIPQaTIO/flGO7CDpvquslCDLtxJQbu2NJLZjvE7U9C5z8I2PZw6wsTGk92mY/xZUgxYS2oV0L2W5aabna7JcTnEaJzpbYvqZJlZ8rSvL62Ox24mdijAvhtH/1wBTNTRX53fACIg0xI4i+38G4UG0K6Tj3pov4tYq8wNN+teXmDW7fCkBke6CmWPsFq1DFkHGjs381yp8XKuWlKX7XEpQJgSChVPToQ7q2ssz3hZA3ngO6udrdZMdLdPWk+in4+LqpPBORqvjRnk8SCwMsVGsIvaOsrFj5CSZy9eveKlyt4aqxwTK1T5y7CVHOJCl4nHSZOSLni75wZYxs1VO8RPlBldi1u0YejMCxUTPqhMCKz7F1BWTQbkBcYQD5U98LDfqlD/R8QqxMeS1H1Hy2dhxUGmBg2muqIz3Q10bE6oolnAiyBIO6X8rt0+rFytBubExlQqUM8wiFlNTSxobRFUjYuuiNdlBVJC2AoDMQU0ctUWBUbIsV1cFC9fD4d9C5HiaB1QsdY30FYzl0ZW1mKCXVKJLdhxCryPHX9F6e0+9Tt/RdHJ5wVrNp8Lo0czVUKHstum0nJ42CNchwSUQ2lugk5L5d8LrKb0WRCJqW+KOQC1l57H1uc5nWyyleknbU5koy4X45xWPg0C0M4TBUIUYAZHAjqbKUJadqVVSs31I88Bx/i4nvYSysLwB7M7z4eDPHF19iRmsy6cHyAmuICQeQfZtcaKJHaJDyGgf9DyFBJeg2lejipQwVS3LtR0gHTueigMpYDOx2jJ1+qrjPJ0FdqSHbLfWAr3PrCjncgzjoddTK4PkxVWmkFEKXYVMSnoMJdRWIjalUqqLiA6EG+11akp4nBoL7Slh27RUtyn0/vzzUN7KpfUwzBJGxVTjJNQByiow0Nmpkoco3V4pZzBXqfN0Y1JGqxIDX0Ld4QvozLFl58RRYHkLHhWJa0EQj2iBUteOHH46Uzhkv7/B15DQXqTjHKz2/EF4SimkcSGM9aafnJrJ65undwROfm/udSwXdF+IjB2Fgd1atRcdyW/vSb9PPAbegI5RAV0ASKlkQfu0jmbfsMS1c3pY9KiIDf0vaZtMgvg4DA7B8CFk3pkolxflDSLtZ+k6I3aUjO9EXQe0nj6BPhmqlykKiCo1Ulen4msWUJYb6vP4iCfSVMfDJDOwJsof2mlxCxJ3hEWeJHPF7tt0cuIvkt5BCSwnUZ/L49gm0qOt3RBYlPeaMnQADvxMexwd2wVHfofs+1/H26dQR9Lcbft2Yof2F257Up5KXunBcImkg3YMGhdiFSpGY0d1/4YPQWS4zAE88fwd9VqyDKUqYxan3W6VUjrYT+J6FZBNqfrZoOsupAuHdOJjcHx36q7+Nui+ENpW6cqFTcuhay1q3plVU83NcGKxadMm3vSmNxEIBOjo6OD9738/u3fvzmgzPj7Oxo0baWtro7GxkSuvvJK+vr4J3ccIiDRU2+m5q4d4hIKqIingpZIeWV3sEdfN0wMG6CpgiUFPKScq2Uob9JQWEokBRdCF3rO7NHQAjj2Xa5+IjVJydZJ83wJ9Owo2s1xe6Dg3/8GEcEgM9u2r8zcTQXp+rYPXEvcsl+gI0vtb/bcnkQ6jHGcABXYEiY7q5xEbg9iINpqnC6fg0qKXETteOn9SZBCJprKqKmXpOuJNJ6OCi0+4UqaGUqgKbOXzy1/+ko0bN/L000+zZcsWotEol1xyCSMjqe/czTffzI9+9CP+8z//k1/+8pf09PTwgQ98YEL3MSqmNFR9OzL/LdC33dkjlLQj2HFdXjM9rXRyNk6aB1LWdYJLUfPOSum5E6uReDR/4FnG9QXIFU4iNhx/iYoQHiiqh7daTsWOhaH/hcTNc2fvLSuxCg2E48cKq7tKIjB8EImOoIJLkPH+Mk5xjN2WO831OHEsDrFRxFWHCixA1c0rfq2SqjCH8GCaADPUNDMcSf3YY49lvP7Wt75FR0cHO3bs4KKLLmJwcJBvfvObPPTQQ7zzne8E4MEHH+S0007j6aef5i1veUtZ9zEriCys4CJYtE4nlis0CFieNE+nrJlr8oNOU3kol3bHTG4ectIuewMQTyuqU0zFYWl9ek4d4bGjOSsHEdEJ7MoZ0HLKpBZoZseRsTdQ9e1w0kXgzqop7fJBx7lYHWcXvsbwQTJmTZPR344e0UnuPA3FFxDiqAATz7vQveLj0HZmGTeewGrHYJgAoVAoYwuHy3NEGRzU7vmtrdo2t2PHDqLRKOvXr0+2WblyJYsWLWLr1q1l98esIPJg+ZqRJZchr/4g84C/GfxtyUpgYsd00rxwiORglzPIJmb+WYPS8CFINwRHh7U+vZTqIaFu8jbmer9keTVJPJqV6sKisLose9CzclYPIgKDe5DBVzNzQdXPg5YLnNO8WN4yZs0VySUlMLRfx0QUjTmQMr1MRH8GpZLXeRoo+iwTVLDokKHKqZAX08KFCzN2f/rTn+Yzn/lM0VNt2+amm27iggsuYNWqVQD09vbi9Xppbm7OaNvZ2Ulvb2+eq+THCIgCKMuDeBoh7KgvGjpR/pYMo6YuQjNPV/Ea7XNWCllBXQnVRrYKJls91P8HJqSHzGcDSMv1L3YsNw+Sy6cNqOnxG4VWDa5cDynpf0mn98hm/Bj0bde1GfLVG8iD8jUhOauv7P4UR0TB0WedF4nnmW7/STS0U9cu9SOOjpQUEMpyIw1dxaPBPQGU46FmmAtM3I6Qez4cOHCAYDA1sfD5Suda27hxI88//zy//vWvp3D//BgVUzHmaWmMuy4ZG5BTqUwplLdeq4gSqTmybQeJegcJJJHGI43RPkgEvxUbxETA3YAVWJh7zN8GLp8WYrE8QXSWlco9lLiW/oMctYnEtZBJvIyOpIRDovZ26qiOHRh4tXC/swkszj/rn8hM7Mj2PLEgThBhon85NadLkB0kWYjg4sJV2Fy+iuRyMsw9gsFgxlZKQFx//fX8+Mc/5he/+AULFqRqinR1dRGJRBgYGMho39fXR1dXrnNLIYyAKILyt+oBw9+c3x3SQUQcAaHbUtcG/hZItxFkxEkAdiwrpYPzUcSjhauyAYnYCxnan9MnpRS0riLvgJ/ejwyDWna7RMQyGbUwpP8P2t03MqTVYdFhHRyWtG0IDB/I9AYqhnJB8OSUPcfypPXJ0oFwLl9mudcMin11JWujPBuMN5iMSynZfeXS9SmaT9XnWV69kgwuhfZzTI2FuUb672qy2wQQEa6//noeeeQRfv7zn7N0aabn3XnnnYfH4+FnP/tZct/u3bvZv38/a9euLfs+RsVUBOVpQOo7dGnLIrNapRTi8qIa2hERx89eUG6/tgOM96fyKiUQp15CwsslsMDJ/Cl6EPYFUmN3unrEtsEeRvq26+vOOyszp1BDF9K6Cvp+l6+j4PYCXt0fO+rELaQZxjNSduvZtD12DAZeIUeYJBLleepJZG2VeLRkCnKJh5GDT2ohk1hxiTgG/MQ9EvEkFrgsx6HMiXRPT7yX8x6tTGFsWSCWkzjPJm92XufZqtbTi37OObdSFtR36M0wp1FKTei7k+/8ibBx40YeeughfvjDHxIIBJJ2haamJurq6mhqauKaa67hlltuobW1lWAwyMc//nHWrl1btgcTmBVESdS8M/XAV0I3nswzlPU/lht8zdmNU8cSu1pXptktbBgf1Flb7Zje4lGnQA8kZ9SDexzVVNblAwsz1TdK6YEyo5GlVzguj6N6yho4/W0pL6nDT1FUTZMoDCQCx14svtqKDCGv/68WhunvTezi91A4AqRYDY6scqIZws6dFqMhmZtSMG81qvGkwvc3GIoys3EQX//61xkcHOTiiy9m/vz5ye273/1uss2Xv/xl/uiP/ogrr7ySiy66iK6uLr7//e9P6D5mBVEKX4seAAtFA0NyQMw3C1BKgduHWJ5U1K8I+Foy1BDK04DMfyv0JAxNCVVPIvVHYmDMSDqEDL6GygqYU5ZbJ8MbfC2zfb64CsvjxGBkDc5OgJtER5yZfhESUdPKBaE90NiVt3KZRIaQ/Y/n92AqNLvPeGPZRuxE28QKqMB8J7lCsUhGvCeEiTcI3WuxCtkTDIYqpNSEFcDv9/PVr36Vr371q5O+z5RWEJs3b0YpxU033ZTc941vfIOLL76YYDCIUirHSJKPz3zmM8klWmJbuTLTyFeJsPHJIIOvwfiAYzPI/VASKqViS0QRSdVfTgiTPEZMFVyoXSPdfvA2OKsAR1AkhEXmlQume1DzzgB3fXkG32yDubsOq9ExeCXSn5cioeNXLmRgT/4mR54t7t6aHoGdj7zvJaFyyrLx5DtXWTB/Lar7baj5a1FL3oO15DIjHAxTJ/H9mvQ2FQ+o6WPSAmL79u3cf//9rF6dmUphdHSUyy67jH/4h3+Y0PXOOOMMDh8+nNyyXbYqETY+USQWhjeeQ/vb9yQLu4hISlhMxJ8/cY6/FZUvxXM8ol1VXV5H9+5JS7lhaYGRNOYmVCn5/f+Vywfz35KrasnbOOGa69xj/oVZx8oh0R8rr9CS2JjOepr3VJXZzwm4uqbuXcYPTClUQ7eOlg4sQnmNG6qhUsysimmmmJSKaXh4mA0bNvDAAw9w1113ZRxLrCaeeOKJiXXE7S7oflWpsPGJIgOvpPzrJQ5DhxC3Hzx1gEJi4xAbR5oWFU0NrZRCklXDBMb7c9JYyPGXteE5UaktsXrQF8i6oDtldC2mNy/XZRNSUcbuRqzGtM+hbh5lBYWlR4XnexZpeYlKkxankUEJ999SgjAjAt5gMJRiUiuIjRs3cvnll2eEcU+VV155he7ubk4++WQ2bNjA/v2pbKKTCRsPh8M5YesTJl/203hYq5zGj2vbhLIgMlxQJygiOp4gNk5Kzy/ISGo2LSOHtXAAkoNgduxE5kWTq4pUNthclDcR8VuEpF5facGz+JLMw5YbWlcUv0a6+kskv9AqNDAXHNSzYy2AllOgaRmTm20pnf+qSpfyhhOc9FXwZLcqZMIriIcffpidO3eyffv20o3LZM2aNXzrW99ixYoVHD58mDvuuIO3ve1tPP/880kXromGjW/atIk77rhjah3LV5BHBLDAowveJwvM2DHE0eWrNFWJQpDxAT2IpudJioSAbt3s2IskBz2XL82oWshbx1mSNixAFUkGp5TlVG7LE/2cfC+kVi0L34mVx0VVzVuNRMdg6PU8N3HpmIXkYG6jmpbltvMGwROA6FDae5gA9V2OG6qFtJ2ODPfAsecdtV9aUFzeZ6fA04BqKSHoDIbJMsPJ+maKCQmIAwcOcOONN7Jlyxb8/sJePRPl3e9+d/Lv1atXs2bNGhYvXsx//Md/cM0110zqmrfddhu33HJL8nUoFMrJc1ISlzfN956UAdVbr2fv6fEHkRDi8unB0nIMprExiI2hxNZDWHrRGifnkoid0s1PVP0x+Bp2YAFWET981X4WEj6e35itFPg7oHVF8WsoC9W9FnvkZOj5lTMAo4PDMr7YAi2nobyBPNdQMO9M5PBT5b8/lxd8zajgUmg8KeVC7Pajmk9G6tuRA7/IFOS2ZC4wlAWBxai2M1B50ocYDIbCTEhA7NixgyNHjnDuuak8QPF4nCeffJJ7772XcDiMyzX1AijNzc2ceuqpvPqqTt2QHjaevoooFjbu8/nKymNSCBnuAUuB8qSpYBwjbpZwSKDiTmGhZOW55BHnv5SASBqpM0pjplVks0rMsBMpJPp2wNJ3F2ymlAUL3oEM7depwBNqsfouaDsTy1Ne7iQAFR1CkoNsdv+c95HIXZXv/MBJYL8JObKTcsqxqq41qGKCyxuAJZfCwGtIaJ9eoXkbdYR2XQtKRNfcNnYHw7QzVUNzDaiY1q1bx65duzL2XX311axcuZJbb721IsIBtBF8z549/Pmf/zmQGTZ+5ZVXApMLGy8XGe1FjjgqNAFcPq3aSERJQ5oaQ6Xp8UkZn7OS8SWiq1M7LOc/F+INOionSA6cGbWtszsoqetHh7HjUawitZaVUqjgYp0/aArI+LH0V/kblajNoJqWII0nwev/k1vUKB2XH+raS/ZJuXzQdhqq7bSSbQshsTGdpXbsGKB0XElwiVlxGMqnQtlcq40JCYhAIJBMJ5ugoaGBtra2jDSzvb29ydn/rl27CAQCLFq0KJmrfN26dVxxxRVcf/31APzf//t/ee9738vixYvp6enh05/+NC6Xi6uuugqgYmHj5SAiyLG0IjiulCotqeKAlGol8cE6QkILknju/Do9wZ3KnG2olhXaSC126rp2VKuccrLAOiuH9EytY29AY/dU3vaMYrk8SMd5SO/ThRvVtSGHntTOTPUdesAuM1PsRJChA8jhhKODI+RHD2v7xkkXlS4eZDDUMBWPpL7vvvsyjMMXXXQRoN1SP/KRjwCwZ88ejh49mmxz8OBBrrrqKo4dO0Z7ezsXXnghTz/9NO3tqRnkl7/8ZSzL4sorryQcDnPppZfyta99rdLd1zP5ROSwo5rIUSdlC4fkfmeVoCzEjmXaKJSug4xS4G3S3kEJmpfrlBkj6WUsRRtgLTfJCGORVA6l9NvOUAEbVdeO5Entkd4T0gZUiYdh6CASH9Mz/cYFyUFeBRYAb0HeeFYX6kmQiOwe6SU5YI8f0zWe56/NHz8ySSQ84AiHPM/PjiIHfoE0dIDlQzV2Q8NJpoa0IT81aqRWUk7Mdg0QCoVoampicHAwI996NjL2RsqQavnyu0WWMUhIbNwRCo5wsOMk1Eeq4zxU44LM9mIj+/83M14gJ612HpSFWnzpjAR9STyK7N8CUjg4UHW9RauGBl7R9SOSRZOc99G0XBuMnecqIjB2RMeTiA1HnimsjlUWavElKHdl6jnbvb+F0OvkFRAJElHsAO561PwLTD3pE4Ryf/OVuMfAS/9NMDD58rKhoRGaT7t8Wvs6GapTbM0mFVNjKGdsd+IgEoNQ8ynQkBsnoJQFjYvIGB1L6jUV+NtnLCJYuTyo+WvIjd52VG+tp2t1UOh1pP9F0uM+kgy+6ggO50ylUPWd2kYSHij+fkWQfLEpk2Wkh6LCAVK1wgFiY0jv02XlwTHMMWo0DsIIiCyUp1En6JsqLj+q+RRdJ8LTqN00u9+GVSSltGpaSs70udCXx3KD24/qOm/qfZ0Ayt+GWrhOxxR4gmD5dMrywCKoa9croTQBkJeBl7GTkeVpjKbUSvmRvNlrJ025tSvS7x8d0jYfg2EOYLK55kHNOxPp+TXYccRy5Q7oJdI6JLO7tpyKajm1/Pu662D+GuRwwnibXadBOW62CvzzUB3nTIvhtnQ//Yi3CWKvantIfBwiQ0jodS1c7TyDfzaDe3MjtMuZmU94UC+Cvy1Vya8QObphhYwdKep+a5iLWExtvl2dc3UjIPKgfC3QfSHSsw2QpB0hSREBISJgxyZdUUw1dMOid+kssqO9ekD0tzoV67w64rl+PpZr9j46Ge9HevWzcfakDhbILpvD2BtAloCoa4PhYmqfTCP4VFEtpyKFEggmyGdvqqSQMtQGxs11bqF8LbDoHci+/wXlQkgFx4nYurJbvkyqiboIvsmnkFbeAKr9LOCsSV9jOpHjL1fgIrmDrGpajgwfKnZS0dxTE6a+C1pWaA+pfBRIsa4qoYI0GE4AqnNdUyUolw/VshKwtdtjXG+61KaTgM+OOa6nMZA4ynLpyUBg0Wx3f1oQO1aGraAM8qXjqGtDtZ2ReJV+RP/bfg7KWzkPD6UUat5ZqO4LM+JddE1sb26dDNBuuA0nTsyJYYaoUSO1WUGUonm5jnYeeCUt/kCBqw4kilIucgbL4BJUGVHAJyRZEeKTQ6EKCFDVsgJ8rcjgqzB2FFBQ34FqXo7yt1bg3ln3U0pnnx3aD5GQoyKMUigViOpaY2IhDHkwNog5iVIKmk7WaSrGjukYAHcDyteEhAdgaJ/ej4C3CYKLa1c4gFNTwV26UJJyFRAmChq6tF2l0Kn17aj6GX6G7nqIDOl4RMtDsjRp0lHApQMc/W0z2y+DYRYxAqJMlHJBlueK8jWDr3lW+jNb6BTiS2HgVYoak7svgGMvZOZmUhYEFqHaVlVfXYbGBcmsukopUG5yfh7BpTPfL8OJgTFSGwwa1XwKMnLYifrOFRJq3plaHXTS25DwIEQGtXCoa5+0d9e042+F+vkwejj/cV/zCZXvyjAbVOcgPxWMgDBMGOXywkkX6YC4of0pVZI3iGpZqfMWJdr6mqbk0TVTKKWQeWfCYINWGybsTcqlVxfNp1CsrKzBUIsYAWGYFMrl1cWI2s7QhZEsF7jqqk91NAGUUtC8DGlaCpEhQMDTmJlY0WDIh1ExGQy5KMud12X1REYp64RY9RiqCVMwyGAwGAz5qNEVhFGqGgwGgyEvZgVhMBgMU8YEyhkMhhLYQwd0plqJgTcIrWdgeWY+465hhqlRFZMREIYTBhHRMRWRIb3D2wje5qrwnLJjY7D/5xAfS+0c74fQ69jNp2K1r569zhkMk8QICEPVI7FRGB/QNbslhjjBeWoEUB6k7bSKlSGdVP9E4ECWcEhn4GVsTz1W8/KZ7ZhhBjFeTAbDjCKxcQi9pqu4pRUTSv8piURRR3chHeeiLM/MdxKQ4YM6FqQY/S+CERC1S42qmKrTMmKY80g8AsdfzBEO2TgVOqD/DzPVtVwGXyvdJh7BjoxMf18MhgpiVhCG6mT0cFp69eIIQHR49hbp5aZAt8NAw7R25UTAtmMwfAjGdRZk5Z8HjQtO8DTqRsVkMMwcY2+k/hY7swKdsjIqvSkApRA7PjuDjCeQmbW2WLs5jIwdQ/pfhLEjmftDr8PR56D7gmmp+TEzTLXoT3UKCKNiMlQdIuLUYxCIR7XLKHZqk5heXeSonqZY5W6ytJ1euo2/Dcs1OzaSakCGDiCHn8oRDknsCHLwl9jjZdY0N8wIRkAYqo5kPQaJU6iyG0hKtSPiCJXZmYVZngZoPqVwA+WCrjfPXIeqDImNIUefK0MVZ8OhXyKjfTPSr8qiKrBVH0ZAGKoTX3N5A4qzilAIhI9Oe7cKYbWfBfNWg5VV78LfBosv0UJkrjJ0AC3QCwn7NCSO9G5HSnmFVRumJrXBMIOUM5gk2ilL/z/aB/Wd09uvIlgtp0LLqdiRIYhHwBuc02qlBBIZnOAZNhLah2pdOS39mR5qM9VGdfbKYCj7qymArWdgVTLrtLwBrLq5bXPIQCUcB8qZJTttCtkqDDOKERCG6qSubeLnnNBukrWLStRyL+fzSXinFYl9qUqMislgmDmUrxlRbu2tVOzHk36srn36O1YjSEIlN3QAYiNgeaDhJAgsqHxEesN8OL4bYuOg7CK2pTSD7WQmCLNKbcZBmBWEoXppO1MLgIKzybSvr3JDfdeMdOtER8RG+n6HvPEMMn5UpzSJDsPAbuj5NRIdrej9lHKhut4Cbr9WN6k881LlcjY9UKrgkor2wTA5jIAwVC3KG4CO88HXkn2EjMAklw/aVqFcvuxLGPIgR57RiQ/jEWcLI7GwXlXEI/DGM9ptuIIoTwNqwTtQHedBYJH27lJuUB7n/1Two2o/G+VprOj9p5/adHM1KiZDVaPc9TBvdVrwnILIgM7RhNL1sH0tVZHy+0TAHjoIwwfyHBGIRxCXFxUd0s84RzBPDaUsaOxGNXbrO44fQwb3Oik3gLoOVNPJqBOwHrg2I0z+O1itX18jIAwnBMngOdD66RNORz37iNhw9PfFG8Wj4PbB+PGKC4hslL8N5TefYzVjBITBMFcY7SsjAaIgYqPKTUBocDBGaoPBcCJTrvFZBIZ7ESMkyqdG3VyNgDAY5goub3ntlIL4KIz0Tm9/DFWPERAGw1yhvov0NOn5SVOVDB+c7h7VELXpxWQEhMEwR1AuD6plRfFGllt7GwHEw9PfqVoh4aY7la0KMUZqg2Eu0XwqSgQ5nqdEq+VBWWlDgss/c/064TFG6hw2b96MUoqbbropue8b3/gGF198McFgEKUUAwMDJa+zadMm3vSmNxEIBOjo6OD9738/u3fvzmhz8cUXo5TK2D72sY9NpfsGw5xDKaWzpLafo9NrWG79v8ufKRwAGhfMTicNVcOkBcT27du5//77Wb16dcb+0dFRLrvsMv7hH/6h7Gv98pe/ZOPGjTz99NNs2bKFaDTKJZdcwshIZpH3a6+9lsOHDye3z3/+85PtvsEwp1GBhSh/K8pZNeQEeXmboMGkLimbGvVimpSKaXh4mA0bNvDAAw9w1113ZRxLrCaeeOKJsq/32GOPZbz+1re+RUdHBzt27OCiiy5K7q+vr6ery3xpDYapopSFdL4J+l/SaTeS5VqVTq7XelrKFmEoA6NiSrJx40Yuv/xy1q9fX+n+ADA4OAhAa2tmAfPvfOc7zJs3j1WrVnHbbbcxOlrYrzscDhMKhTI2g8GQQllu1LwzYcHbtcqp/RxY8HbUvDNz1U2GOcmEvwUPP/wwO3fuZPv27dPRH2zb5qabbuKCCy5g1apVyf1/9md/xuLFi+nu7ua5557j1ltvZffu3Xz/+9/Pe51NmzZxxx13TEsfDYZaQrl8kKjZYJgcU1UT1YKK6cCBA9x4441s2bIFv396PBw2btzI888/z69//euM/dddd13y7zPPPJP58+ezbt069uzZw7Jly3Kuc9ttt3HLLbckX4dCIRYuXDgtfTYYDHOd2lQxTUhA7NixgyNHjnDuuecm98XjcZ588knuvfdewuEwLtfkq3pdf/31/PjHP+bJJ59kwYLiHhRr1qwB4NVXX80rIHw+Hz6fSf9sMBgMk2VCAmLdunXs2rUrY9/VV1/NypUrufXWWyctHESEj3/84zzyyCM88cQTLF26tOQ5zz77LADz58+f1D0NBoOhYhgVEwQCgQy7AEBDQwNtbW3J/b29vfT29vLqq68CsGvXLgKBAIsWLUoandetW8cVV1zB9ddfD2i10kMPPcQPf/hDAoEAvb06B0xTUxN1dXXs2bOHhx56iPe85z20tbXx3HPPcfPNN3PRRRfluNkaDAbDzFObKqaK+7Hdd999nHPOOVx77bUAXHTRRZxzzjk8+uijyTZ79uzh6NGjyddf//rXGRwc5OKLL2b+/PnJ7bvf/S4AXq+Xxx9/nEsuuYSVK1fyt3/7t1x55ZX86Ec/qnT3DQaDweCgpNK1BauUUChEU1MTg4ODBIPB2e6OwWCYZmbiN5+8R++rBIOBKVxniKau5VU3PhlnZ4PBYJgytaliMgLCYDAYpkqNGqlNLL3BYDAY8jJnVhAJU4tJuWEwzA0Sv/WZMLOGQsNMRU2kz68+5oyAGBoaAjDR1AbDHGNoaIimpqZpubbX66Wrq4uFp0zd3b6rqwuvt8yysDPEnPFism2bnp4eAoEASqlk6o0DBw5UlddAtWKe18Qwz6t8putZiQhDQ0N0d3djWdOnTR8fHycSiUz5Ol6vd9pSGE2WObOCsCwrb/qOYDBofsATwDyviWGeV/lMx7OarpVDOn6/v+oG9kphjNQGg8FgyIsREAaDwWDIy5wVED6fj09/+tMm42uZmOc1MczzKh/zrKqXOWOkNhgMBsPEmLMrCIPBYDAUxwgIg8FgMOTFCAiDwWAw5MUICIPBYDDkxQgIg8FgMOSlJgXEE088gVIq77Z9+3ZAh8d/5CMf4cwzz8TtdvP+97+/rGsvWbIk55qbN2+exncz/Uzn8+rv72fDhg0Eg0Gam5u55pprGB6uzsRk5VLO8wJ47rnneNvb3obf72fhwoV8/vOfL3ntfNd8+OGHp/PtTDvT+bz279/P5ZdfTn19PR0dHfzd3/0dsVhsOt/O3EJqkHA4LIcPH87Y/uqv/kqWLl0qtm2LiMjw8LB87GMfk2984xty6aWXyvve976yrr148WK58847M649PDw8je9m+pnO53XZZZfJWWedJU8//bT86le/kuXLl8tVV101je9m+inneQ0ODkpnZ6ds2LBBnn/+efn3f/93qaurk/vvv7/otQF58MEHM649NjY2E29r2piu5xWLxWTVqlWyfv16eeaZZ+R//ud/ZN68eXLbbbfN1FureWpSQGQTiUSkvb1d7rzzzrzHP/zhD09IQHz5y1+uXOeqkEo9rxdffFEA2b59e3LfT37yE1FKyaFDhyrV3Vkn3/P62te+Ji0tLRIOh5P7br31VlmxYkXRawHyyCOPTFdXq4JKPa//+Z//EcuypLe3N7nv61//ugSDwYzrGCZPTaqYsnn00Uc5duwYV199dUWut3nzZtra2jjnnHP4whe+UHNL2ko9r61bt9Lc3Mz555+f3Ld+/Xosy2Lbtm1T7WbVkO95bd26lYsuuigjffOll17K7t27OX78eNHrbdy4kXnz5vHmN7+Zf/mXf5mRegYzSaWe19atWznzzDPp7OzMOCcUCvHCCy9M3xuYQ8yJbK7f/OY3ufTSS/Nmc50oN9xwA+eeey6tra089dRT3HbbbRw+fJgvfelLFehpdVCp59Xb20tHR0fGPrfbTWtrK729vVO6djWR73n19vaydOnSjHaJgay3t5eWlpa817rzzjt55zvfSX19Pf/7v//L3/zN3zA8PMwNN9wwfW9ghqnU8+rt7c0QDtnnGKbOCbWC+Pu///uCxq7E9oc//CHjnIMHD/LTn/6Ua665piJ9uOWWW7j44otZvXo1H/vYx/jnf/5nvvKVrxAOhyty/UpSDc/rRKIantftt9/OBRdcwDnnnMOtt97KJz7xCb7whS9U5NqVphqel2F6OaFWEH/7t3/LRz7ykaJtTj755IzXDz74IG1tbfzxH//xtPRpzZo1xGIxXn/9dVasWDEt95gss/28urq6OHLkSMa+WCxGf38/XV1dU75+pank8+rq6qKvry9jX+L1RN77mjVr+OxnP0s4HK66ZHaz/by6urr47W9/O6FzDBPjhBIQ7e3ttLe3l91eRHjwwQf5i7/4Czwez7T06dlnn8WyrBxVSjUw289r7dq1DAwMsGPHDs477zwAfv7zn2PbNmvWrJny9StNJZ/X2rVr+f/+v/+PaDSaPLZlyxZWrFhRUL2Uj2effZaWlpaqEw4w+89r7dq1fO5zn+PIkSPJ39+WLVsIBoOcfvrpk3xXhgxm1UQ+zTz++OMCyEsvvZT3+AsvvCDPPPOMvPe975WLL75YnnnmGXnmmWeSx7dt2yYrVqyQgwcPiojIU089JV/+8pfl2WeflT179si3v/1taW9vl7/4i7+Yibcz7VT6eYloN9dzzjlHtm3bJr/+9a/llFNOOeHdXBMUe14DAwPS2dkpf/7nfy7PP/+8PPzww1JfX5/htvn9738/w0vn0UcflQceeEB27dolr7zyinzta1+T+vp6+dSnPjUj72e6qfTzSri5XnLJJfLss8/KY489Ju3t7cbNtYLUtIC46qqr5K1vfWvB44sXLxYgZ0vwi1/8QgDZu3eviIjs2LFD1qxZI01NTeL3++W0006Tf/zHf5Tx8fHpfiszQqWfl4jIsWPH5KqrrpLGxkYJBoNy9dVXy9DQ0HS+jRmj1PP6/e9/LxdeeKH4fD456aSTZPPmzRnHH3zwwYzn95Of/ETOPvtsaWxslIaGBjnrrLPkvvvuk3g8Pm3vYSap9PMSEXn99dfl3e9+t9TV1cm8efPkb//2byUajU5L/+ciph6EwWAwGPJyQnkxGQwGg2HmMALCYDAYDHkxAsJgMBgMeTECwmAwGAx5MQLCYDAYDHkxAsJgMBgMeTECwmAwGAx5MQLCYDAYDHkxAsJgMBgMeTECwmAwGAx5MQLCYDAYDHn5/wH7wgn2w4Zm1gAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -3469,10 +3469,10 @@
    "execution_count": 41,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:46.897108Z",
-     "iopub.status.busy": "2024-09-05T02:50:46.896822Z",
-     "iopub.status.idle": "2024-09-05T02:50:59.319051Z",
-     "shell.execute_reply": "2024-09-05T02:50:59.318439Z"
+     "iopub.execute_input": "2024-11-05T02:50:44.372007Z",
+     "iopub.status.busy": "2024-11-05T02:50:44.371592Z",
+     "iopub.status.idle": "2024-11-05T02:50:57.862240Z",
+     "shell.execute_reply": "2024-11-05T02:50:57.861598Z"
     }
    },
    "outputs": [],
@@ -3493,10 +3493,10 @@
    "execution_count": 42,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:59.321897Z",
-     "iopub.status.busy": "2024-09-05T02:50:59.321387Z",
-     "iopub.status.idle": "2024-09-05T02:50:59.724563Z",
-     "shell.execute_reply": "2024-09-05T02:50:59.723979Z"
+     "iopub.execute_input": "2024-11-05T02:50:57.864384Z",
+     "iopub.status.busy": "2024-11-05T02:50:57.864203Z",
+     "iopub.status.idle": "2024-11-05T02:50:58.325624Z",
+     "shell.execute_reply": "2024-11-05T02:50:58.325039Z"
     }
    },
    "outputs": [
@@ -3530,7 +3530,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>5</th>\n",
        "      <td>IRWA-HB</td>\n",
        "      <td>4.6</td>\n",
        "      <td>mg/L</td>\n",
@@ -3538,7 +3538,7 @@
        "      <td>4.6 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6</th>\n",
+       "      <th>8</th>\n",
        "      <td>MYRWA-MEB001</td>\n",
        "      <td>9.4</td>\n",
        "      <td>mg/L</td>\n",
@@ -3546,7 +3546,7 @@
        "      <td>9.4 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7</th>\n",
+       "      <th>9</th>\n",
        "      <td>NARS_WQX-MARO-1020</td>\n",
        "      <td>10.3</td>\n",
        "      <td>mg/L</td>\n",
@@ -3554,20 +3554,20 @@
        "      <td>10.3 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>MASSDEP-W2412</td>\n",
-       "      <td>8.7</td>\n",
+       "      <th>12</th>\n",
+       "      <td>WTGHA-M46</td>\n",
+       "      <td>24.7</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>8.7 milligram / liter</td>\n",
+       "      <td>24.7 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>MERRIMACK_RIVER_WATERSHED_WQX-Central Catholic</td>\n",
-       "      <td>10.91</td>\n",
+       "      <th>13</th>\n",
+       "      <td>MASSDEP-W2412</td>\n",
+       "      <td>8.7</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>10.91 milligram / liter</td>\n",
+       "      <td>8.7 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -3578,7 +3578,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413047</th>\n",
+       "      <th>453490</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>6.1</td>\n",
        "      <td>mg/L</td>\n",
@@ -3586,7 +3586,7 @@
        "      <td>6.1 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413050</th>\n",
+       "      <th>453493</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_EPG_SHC</td>\n",
        "      <td>14.2</td>\n",
        "      <td>mg/L</td>\n",
@@ -3594,7 +3594,7 @@
        "      <td>14.2 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413051</th>\n",
+       "      <th>453494</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_EPG_SHD</td>\n",
        "      <td>8.5</td>\n",
        "      <td>mg/L</td>\n",
@@ -3602,7 +3602,7 @@
        "      <td>8.5 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413057</th>\n",
+       "      <th>453500</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_EPG_SHC</td>\n",
        "      <td>9.1</td>\n",
        "      <td>mg/L</td>\n",
@@ -3610,7 +3610,7 @@
        "      <td>9.1 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413061</th>\n",
+       "      <th>453504</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_EPG_SHD</td>\n",
        "      <td>9.2</td>\n",
        "      <td>mg/L</td>\n",
@@ -3619,37 +3619,37 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>70434 rows × 5 columns</p>\n",
+       "<p>77262 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                          MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "3                                              IRWA-HB                4.6   \n",
-       "6                                         MYRWA-MEB001                9.4   \n",
-       "7                                   NARS_WQX-MARO-1020               10.3   \n",
-       "9                                        MASSDEP-W2412                8.7   \n",
-       "11      MERRIMACK_RIVER_WATERSHED_WQX-Central Catholic              10.91   \n",
-       "...                                                ...                ...   \n",
-       "413047                       11NPSWRD_WQX-CACO_GREAT_W                6.1   \n",
-       "413050                       11NPSWRD_WQX-SAMA_EPG_SHC               14.2   \n",
-       "413051                       11NPSWRD_WQX-SAMA_EPG_SHD                8.5   \n",
-       "413057                       11NPSWRD_WQX-SAMA_EPG_SHC                9.1   \n",
-       "413061                       11NPSWRD_WQX-SAMA_EPG_SHD                9.2   \n",
-       "\n",
-       "       ResultMeasure/MeasureUnitCode QA_flag                       DO  \n",
-       "3                               mg/L     NaN    4.6 milligram / liter  \n",
-       "6                               mg/L     NaN    9.4 milligram / liter  \n",
-       "7                               mg/L     NaN   10.3 milligram / liter  \n",
-       "9                               mg/L     NaN    8.7 milligram / liter  \n",
-       "11                              mg/L     NaN  10.91 milligram / liter  \n",
-       "...                              ...     ...                      ...  \n",
-       "413047                          mg/L     NaN    6.1 milligram / liter  \n",
-       "413050                          mg/L     NaN   14.2 milligram / liter  \n",
-       "413051                          mg/L     NaN    8.5 milligram / liter  \n",
-       "413057                          mg/L     NaN    9.1 milligram / liter  \n",
-       "413061                          mg/L     NaN    9.2 milligram / liter  \n",
-       "\n",
-       "[70434 rows x 5 columns]"
+       "       MonitoringLocationIdentifier ResultMeasureValue  \\\n",
+       "5                           IRWA-HB                4.6   \n",
+       "8                      MYRWA-MEB001                9.4   \n",
+       "9                NARS_WQX-MARO-1020               10.3   \n",
+       "12                        WTGHA-M46               24.7   \n",
+       "13                    MASSDEP-W2412                8.7   \n",
+       "...                             ...                ...   \n",
+       "453490    11NPSWRD_WQX-CACO_GREAT_W                6.1   \n",
+       "453493    11NPSWRD_WQX-SAMA_EPG_SHC               14.2   \n",
+       "453494    11NPSWRD_WQX-SAMA_EPG_SHD                8.5   \n",
+       "453500    11NPSWRD_WQX-SAMA_EPG_SHC                9.1   \n",
+       "453504    11NPSWRD_WQX-SAMA_EPG_SHD                9.2   \n",
+       "\n",
+       "       ResultMeasure/MeasureUnitCode QA_flag                      DO  \n",
+       "5                               mg/L     NaN   4.6 milligram / liter  \n",
+       "8                               mg/L     NaN   9.4 milligram / liter  \n",
+       "9                               mg/L     NaN  10.3 milligram / liter  \n",
+       "12                              mg/L     NaN  24.7 milligram / liter  \n",
+       "13                              mg/L     NaN   8.7 milligram / liter  \n",
+       "...                              ...     ...                     ...  \n",
+       "453490                          mg/L     NaN   6.1 milligram / liter  \n",
+       "453493                          mg/L     NaN  14.2 milligram / liter  \n",
+       "453494                          mg/L     NaN   8.5 milligram / liter  \n",
+       "453500                          mg/L     NaN   9.1 milligram / liter  \n",
+       "453504                          mg/L     NaN   9.2 milligram / liter  \n",
+       "\n",
+       "[77262 rows x 5 columns]"
       ]
      },
      "execution_count": 42,
@@ -3669,10 +3669,10 @@
    "execution_count": 43,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:59.726832Z",
-     "iopub.status.busy": "2024-09-05T02:50:59.726513Z",
-     "iopub.status.idle": "2024-09-05T02:50:59.741411Z",
-     "shell.execute_reply": "2024-09-05T02:50:59.740869Z"
+     "iopub.execute_input": "2024-11-05T02:50:58.327564Z",
+     "iopub.status.busy": "2024-11-05T02:50:58.327262Z",
+     "iopub.status.idle": "2024-11-05T02:50:58.343636Z",
+     "shell.execute_reply": "2024-11-05T02:50:58.343080Z"
     }
    },
    "outputs": [
@@ -3706,7 +3706,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>5</th>\n",
        "      <td>IRWA-HB</td>\n",
        "      <td>4.6</td>\n",
        "      <td>mg/L</td>\n",
@@ -3714,7 +3714,7 @@
        "      <td>4.6 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6</th>\n",
+       "      <th>8</th>\n",
        "      <td>MYRWA-MEB001</td>\n",
        "      <td>9.4</td>\n",
        "      <td>mg/L</td>\n",
@@ -3722,7 +3722,7 @@
        "      <td>9.4 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7</th>\n",
+       "      <th>9</th>\n",
        "      <td>NARS_WQX-MARO-1020</td>\n",
        "      <td>10.3</td>\n",
        "      <td>mg/L</td>\n",
@@ -3730,20 +3730,20 @@
        "      <td>10.3 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>MASSDEP-W2412</td>\n",
-       "      <td>8.7</td>\n",
+       "      <th>12</th>\n",
+       "      <td>WTGHA-M46</td>\n",
+       "      <td>24.7</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>8.7 milligram / liter</td>\n",
+       "      <td>24.7 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>MERRIMACK_RIVER_WATERSHED_WQX-Central Catholic</td>\n",
-       "      <td>10.91</td>\n",
+       "      <th>13</th>\n",
+       "      <td>MASSDEP-W2412</td>\n",
+       "      <td>8.7</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>10.91 milligram / liter</td>\n",
+       "      <td>8.7 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -3754,7 +3754,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413047</th>\n",
+       "      <th>453490</th>\n",
        "      <td>11NPSWRD_WQX-CACO_GREAT_W</td>\n",
        "      <td>6.1</td>\n",
        "      <td>mg/L</td>\n",
@@ -3762,7 +3762,7 @@
        "      <td>6.1 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413050</th>\n",
+       "      <th>453493</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_EPG_SHC</td>\n",
        "      <td>14.2</td>\n",
        "      <td>mg/L</td>\n",
@@ -3770,7 +3770,7 @@
        "      <td>14.2 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413051</th>\n",
+       "      <th>453494</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_EPG_SHD</td>\n",
        "      <td>8.5</td>\n",
        "      <td>mg/L</td>\n",
@@ -3778,7 +3778,7 @@
        "      <td>8.5 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413057</th>\n",
+       "      <th>453500</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_EPG_SHC</td>\n",
        "      <td>9.1</td>\n",
        "      <td>mg/L</td>\n",
@@ -3786,7 +3786,7 @@
        "      <td>9.1 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413061</th>\n",
+       "      <th>453504</th>\n",
        "      <td>11NPSWRD_WQX-SAMA_EPG_SHD</td>\n",
        "      <td>9.2</td>\n",
        "      <td>mg/L</td>\n",
@@ -3795,37 +3795,37 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>69137 rows × 5 columns</p>\n",
+       "<p>75965 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                          MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "3                                              IRWA-HB                4.6   \n",
-       "6                                         MYRWA-MEB001                9.4   \n",
-       "7                                   NARS_WQX-MARO-1020               10.3   \n",
-       "9                                        MASSDEP-W2412                8.7   \n",
-       "11      MERRIMACK_RIVER_WATERSHED_WQX-Central Catholic              10.91   \n",
-       "...                                                ...                ...   \n",
-       "413047                       11NPSWRD_WQX-CACO_GREAT_W                6.1   \n",
-       "413050                       11NPSWRD_WQX-SAMA_EPG_SHC               14.2   \n",
-       "413051                       11NPSWRD_WQX-SAMA_EPG_SHD                8.5   \n",
-       "413057                       11NPSWRD_WQX-SAMA_EPG_SHC                9.1   \n",
-       "413061                       11NPSWRD_WQX-SAMA_EPG_SHD                9.2   \n",
-       "\n",
-       "       ResultMeasure/MeasureUnitCode QA_flag                       DO  \n",
-       "3                               mg/L     NaN    4.6 milligram / liter  \n",
-       "6                               mg/L     NaN    9.4 milligram / liter  \n",
-       "7                               mg/L     NaN   10.3 milligram / liter  \n",
-       "9                               mg/L     NaN    8.7 milligram / liter  \n",
-       "11                              mg/L     NaN  10.91 milligram / liter  \n",
-       "...                              ...     ...                      ...  \n",
-       "413047                          mg/L     NaN    6.1 milligram / liter  \n",
-       "413050                          mg/L     NaN   14.2 milligram / liter  \n",
-       "413051                          mg/L     NaN    8.5 milligram / liter  \n",
-       "413057                          mg/L     NaN    9.1 milligram / liter  \n",
-       "413061                          mg/L     NaN    9.2 milligram / liter  \n",
-       "\n",
-       "[69137 rows x 5 columns]"
+       "       MonitoringLocationIdentifier ResultMeasureValue  \\\n",
+       "5                           IRWA-HB                4.6   \n",
+       "8                      MYRWA-MEB001                9.4   \n",
+       "9                NARS_WQX-MARO-1020               10.3   \n",
+       "12                        WTGHA-M46               24.7   \n",
+       "13                    MASSDEP-W2412                8.7   \n",
+       "...                             ...                ...   \n",
+       "453490    11NPSWRD_WQX-CACO_GREAT_W                6.1   \n",
+       "453493    11NPSWRD_WQX-SAMA_EPG_SHC               14.2   \n",
+       "453494    11NPSWRD_WQX-SAMA_EPG_SHD                8.5   \n",
+       "453500    11NPSWRD_WQX-SAMA_EPG_SHC                9.1   \n",
+       "453504    11NPSWRD_WQX-SAMA_EPG_SHD                9.2   \n",
+       "\n",
+       "       ResultMeasure/MeasureUnitCode QA_flag                      DO  \n",
+       "5                               mg/L     NaN   4.6 milligram / liter  \n",
+       "8                               mg/L     NaN   9.4 milligram / liter  \n",
+       "9                               mg/L     NaN  10.3 milligram / liter  \n",
+       "12                              mg/L     NaN  24.7 milligram / liter  \n",
+       "13                              mg/L     NaN   8.7 milligram / liter  \n",
+       "...                              ...     ...                     ...  \n",
+       "453490                          mg/L     NaN   6.1 milligram / liter  \n",
+       "453493                          mg/L     NaN  14.2 milligram / liter  \n",
+       "453494                          mg/L     NaN   8.5 milligram / liter  \n",
+       "453500                          mg/L     NaN   9.1 milligram / liter  \n",
+       "453504                          mg/L     NaN   9.2 milligram / liter  \n",
+       "\n",
+       "[75965 rows x 5 columns]"
       ]
      },
      "execution_count": 43,
@@ -3849,10 +3849,10 @@
    "execution_count": 44,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:59.743526Z",
-     "iopub.status.busy": "2024-09-05T02:50:59.743196Z",
-     "iopub.status.idle": "2024-09-05T02:50:59.789765Z",
-     "shell.execute_reply": "2024-09-05T02:50:59.789217Z"
+     "iopub.execute_input": "2024-11-05T02:50:58.345512Z",
+     "iopub.status.busy": "2024-11-05T02:50:58.345199Z",
+     "iopub.status.idle": "2024-11-05T02:50:58.396110Z",
+     "shell.execute_reply": "2024-11-05T02:50:58.395613Z"
     }
    },
    "outputs": [
@@ -3920,38 +3920,38 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2323</th>\n",
+       "      <th>2343</th>\n",
        "      <td>WWMD_VA-SR5</td>\n",
        "      <td>1</td>\n",
        "      <td>10.810000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2324</th>\n",
+       "      <th>2344</th>\n",
        "      <td>WWMD_VA-WF2</td>\n",
        "      <td>2</td>\n",
        "      <td>6.800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2325</th>\n",
+       "      <th>2345</th>\n",
        "      <td>WWMD_VA-WI1</td>\n",
        "      <td>1</td>\n",
        "      <td>9.510000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2326</th>\n",
+       "      <th>2346</th>\n",
        "      <td>WWMD_VA-WR2X</td>\n",
        "      <td>2</td>\n",
        "      <td>6.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2327</th>\n",
+       "      <th>2347</th>\n",
        "      <td>WWMD_VA-WR5</td>\n",
        "      <td>1</td>\n",
        "      <td>8.355000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2328 rows × 3 columns</p>\n",
+       "<p>2348 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -3962,13 +3962,13 @@
        "3                 11113300-01-CTP   37   6.945135\n",
        "4                 11113300-01-GOL    1   4.400000\n",
        "...                           ...  ...        ...\n",
-       "2323                  WWMD_VA-SR5    1  10.810000\n",
-       "2324                  WWMD_VA-WF2    2   6.800000\n",
-       "2325                  WWMD_VA-WI1    1   9.510000\n",
-       "2326                 WWMD_VA-WR2X    2   6.000000\n",
-       "2327                  WWMD_VA-WR5    1   8.355000\n",
+       "2343                  WWMD_VA-SR5    1  10.810000\n",
+       "2344                  WWMD_VA-WF2    2   6.800000\n",
+       "2345                  WWMD_VA-WI1    1   9.510000\n",
+       "2346                 WWMD_VA-WR2X    2   6.000000\n",
+       "2347                  WWMD_VA-WR5    1   8.355000\n",
        "\n",
-       "[2328 rows x 3 columns]"
+       "[2348 rows x 3 columns]"
       ]
      },
      "execution_count": 44,
@@ -3986,10 +3986,10 @@
    "execution_count": 45,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:50:59.791937Z",
-     "iopub.status.busy": "2024-09-05T02:50:59.791595Z",
-     "iopub.status.idle": "2024-09-05T02:51:00.016988Z",
-     "shell.execute_reply": "2024-09-05T02:51:00.016493Z"
+     "iopub.execute_input": "2024-11-05T02:50:58.397775Z",
+     "iopub.status.busy": "2024-11-05T02:50:58.397606Z",
+     "iopub.status.idle": "2024-11-05T02:50:58.627082Z",
+     "shell.execute_reply": "2024-11-05T02:50:58.626516Z"
     }
    },
    "outputs": [
@@ -4005,7 +4005,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4025,10 +4025,10 @@
    "execution_count": 46,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:00.019153Z",
-     "iopub.status.busy": "2024-09-05T02:51:00.018822Z",
-     "iopub.status.idle": "2024-09-05T02:51:00.288666Z",
-     "shell.execute_reply": "2024-09-05T02:51:00.288167Z"
+     "iopub.execute_input": "2024-11-05T02:50:58.628964Z",
+     "iopub.status.busy": "2024-11-05T02:50:58.628670Z",
+     "iopub.status.idle": "2024-11-05T02:50:58.879381Z",
+     "shell.execute_reply": "2024-11-05T02:50:58.878777Z"
     }
    },
    "outputs": [
@@ -4044,7 +4044,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -4071,35 +4071,43 @@
    "execution_count": 47,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:00.291000Z",
-     "iopub.status.busy": "2024-09-05T02:51:00.290659Z",
-     "iopub.status.idle": "2024-09-05T02:51:03.508223Z",
-     "shell.execute_reply": "2024-09-05T02:51:03.507689Z"
+     "iopub.execute_input": "2024-11-05T02:50:58.881538Z",
+     "iopub.status.busy": "2024-11-05T02:50:58.881120Z",
+     "iopub.status.idle": "2024-11-05T02:51:02.340461Z",
+     "shell.execute_reply": "2024-11-05T02:51:02.339798Z"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'mV' converted to NaN\n",
+      "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    94614.000000\n",
-      "mean         6.509265\n",
-      "std          2.641679\n",
-      "min         -3.124705\n",
-      "25%          5.700000\n",
-      "50%          6.620000\n",
-      "75%          7.320000\n",
-      "max        715.000000\n",
+      "count    100655.000000\n",
+      "mean          6.593598\n",
+      "std           2.583925\n",
+      "min          -3.124705\n",
+      "25%           5.800000\n",
+      "50%           6.700000\n",
+      "75%           7.500000\n",
+      "max         715.000000\n",
       "dtype: float64\n",
-      "Unusable results: 17\n",
+      "Unusable results: 2210\n",
       "Usable results with inferred units: 215\n",
-      "Results outside threshold (0.0 to 22.35933967770454): 12\n"
+      "Results outside threshold (0.0 to 22.097148230328724): 12\n"
      ]
     },
     {
      "data": {
-      "image/png": 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NAAAwCuEGAAAYhXADAACMQrgBAABGIdwAAACjEG4AAIBRCDcAAMAohBsAAGCUOoeb3bt3a+TIkYqNjZXNZtObb77p8/i//uu/ymaz+dzuvvtunzFnzpzRuHHjFBkZqbZt22ry5Mk6d+6cz5jDhw/rl7/8pVq2bKm4uDgtXbq07q8OABpJp9mbA10CgP9X53Bz/vx59erVSytXrrzimLvvvlvfffed5/bXv/7V5/Fx48bp6NGjcrlc2rRpk3bv3q0pU6Z4Hi8qKlJSUpI6duyonJwcPfPMM0pPT9eaNWvqWi4AAAgyLer6hBEjRmjEiBE1jnE4HHI6ndU+9sknn2jr1q06ePCg+vXrJ0lasWKF7rnnHv3pT39SbGys1q1bp0uXLunll19WWFiYunXrptzcXD377LM+IQgAAKCyOoeb2ti5c6eioqJ0/fXX66677tJTTz2l9u3bS5Kys7PVtm1bT7CRpMTERIWEhGj//v267777lJ2drcGDByssLMwzJjk5WUuWLNEPP/yg66+/vso2S0pKVFJS4lkuKiqSJLndbrndbr+9tvK5/Dlnc0Y/vOiFV+VeOEItn75UXK7N/fLl8jmvdL+24yo/52rbro0aaw+pur1gxb8TL3rhVbEX/uiHzbIsq95Pttm0ceNGjRo1yrPu9ddfV3h4uOLj4/XFF1/oD3/4g6677jplZ2crNDRUixYt0quvvqrjx4/7zBUVFaX58+dr6tSpSkpKUnx8vF566SXP48eOHVO3bt107NgxdenSpUot6enpmj9/fpX1GRkZCg8Pr+9LBAAAjai4uFhjx45VYWGhIiMj6zWH3/fcjBkzxnO/R48e6tmzp2666Sbt3LlTw4YN8/fmPObMmaO0tDTPclFRkeLi4pSUlFTv5lTH7XbL5XJp+PDhstvtfpu3uaIfXvTCq3Ivuqdn6kh6sufxisu1uV++LElH0pOveL+24yo/52rbro2ant93wVYt7FfGe0P8O6mIXnhV7MWFCxeueb4GOSxV0c9//nPdcMMN+vzzzzVs2DA5nU4VFBT4jLl8+bLOnDnjOU/H6XQqPz/fZ0z58pXO5XE4HHI4HFXW2+32BnnTNNS8zRX98KIXXuW9KCm1+fSk4nJt7pcvl895pfu1HVf5OVfbdm3UWHuZd3u8N35CL7zohZfdbtfly5eveZ4G/56bb775Rt9//71iYmIkSQkJCTp79qxycnI8Y959912VlZVpwIABnjG7d+/2Oe7mcrl02223VXu+DQAAQLk6h5tz584pNzdXubm5kqQTJ04oNzdXp06d0rlz5zRz5kzt27dPX331lbKysvTrX/9aN998s5KTf9pF26VLF9199916+OGHdeDAAb3//vuaNm2axowZo9jYWEnS2LFjFRYWpsmTJ+vo0aNav369nn/+eZ/DTgACq9PszXy3C4Amqc7h5oMPPlCfPn3Up08fSVJaWpr69OmjefPmKTQ0VIcPH9a9996rW2+9VZMnT1bfvn313nvv+RwyWrdunTp37qxhw4bpnnvu0Z133unzHTZt2rTRtm3bdOLECfXt21ePPfaY5s2bx2XgAADgqup8zs2QIUNU0wVWmZmZV52jXbt2ysjIqHFMz5499d5779W1PAAAEOT4bSkAAGAUwg0AADAK4QYAABiFcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwC1xk8uAGgOCDcAAMAohBsAAGAUwg0AADAK4QaA33A+DoCmgHADAACMQrgBAABGIdwAzQyXYwNAzQg3AADAKIQbAABgFMINANSAQ4BA80O4AQzAH2AA8CLcAAAAoxBuAACAUQg3AADAKIQbAABgFMINgBrxpYEAmhvCDQAAMArhBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAACAUQg3AKrg8m8AzRnhBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAACAUQg3AADAKIQbAABgFMINAAAwCuEGAAAYhXADAACMQrgBAABGIdwAAACjEG4AAIBRCDcAUAf8WjrQ9BFuAACAUQg3AADAKIQbAABgFMINAAAwCuEGAOqJk4uBpolwAwAAjEK4AQAARiHcAAAAoxBuAMNwHgiAYEe4AQAARiHcAAAAo9Q53OzevVsjR45UbGysbDab3nzzTZ/HLcvSvHnzFBMTo1atWikxMVGfffaZz5gzZ85o3LhxioyMVNu2bTV58mSdO3fOZ8zhw4f1y1/+Ui1btlRcXJyWLl1a91cHAACCTp3Dzfnz59WrVy+tXLmy2seXLl2qF154QatXr9b+/fvVunVrJScn6+LFi54x48aN09GjR+VyubRp0ybt3r1bU6ZM8TxeVFSkpKQkdezYUTk5OXrmmWeUnp6uNWvW1OMlAgCAYNKirk8YMWKERowYUe1jlmXpueee0xNPPKFf//rXkqT/+q//UnR0tN58802NGTNGn3zyibZu3aqDBw+qX79+kqQVK1bonnvu0Z/+9CfFxsZq3bp1unTpkl5++WWFhYWpW7duys3N1bPPPusTggCgqSo/sfurP6YEuBIg+NQ53NTkxIkTysvLU2JiomddmzZtNGDAAGVnZ2vMmDHKzs5W27ZtPcFGkhITExUSEqL9+/frvvvuU3Z2tgYPHqywsDDPmOTkZC1ZskQ//PCDrr/++irbLikpUUlJiWe5qKhIkuR2u+V2u/32Gsvn8ueczRn98GqsXjhCrSrbcYRanuWK9/2xjdrcr1xH5V5UrulK9db0Ompbx7XWXps6alN7ObfbLUdI1e0FKz4zvOiFV8Ve+KMfNsuyrKsPu8KTbTZt3LhRo0aNkiTt3btXgwYN0unTpxUTE+MZ98ADD8hms2n9+vVatGiRXn31VR0/ftxnrqioKM2fP19Tp05VUlKS4uPj9dJLL3keP3bsmLp166Zjx46pS5cuVWpJT0/X/Pnzq6zPyMhQeHh4fV8iAABoRMXFxRo7dqwKCwsVGRlZrzn8uucmkObMmaO0tDTPclFRkeLi4pSUlFTv5lTH7XbL5XJp+PDhstvtfpu3uaIfXo3Vi+7pmZKkI+nJPuvKlyve98c2anO/ch2Ve1G5pivVW9PrqG0d11p7beqoTe3ljqQnq++CrVrYr4x/J+IzoyJ64VWxFxcuXLjm+fwabpxOpyQpPz/fZ89Nfn6+evfu7RlTUFDg87zLly/rzJkznuc7nU7l5+f7jClfLh9TmcPhkMPhqLLebrc3yJumoeZtruiHV0P3oqTU5tlOxXXlyxXv+2MbtblfXR3lj5WPrU29Nb2O2tbhj9qvVkdtaq/Yg5Iy7/ZumbtNEufi8JnhRS+87Ha7Ll++fM3z+PV7buLj4+V0OpWVleVZV1RUpP379yshIUGSlJCQoLNnzyonJ8cz5t1331VZWZkGDBjgGbN7926f424ul0u33XZbtefbAEBN+NZmILjUOdycO3dOubm5ys3NlfTTScS5ubk6deqUbDabpk+frqeeekpvvfWWPv74Y02YMEGxsbGe83K6dOmiu+++Ww8//LAOHDig999/X9OmTdOYMWMUGxsrSRo7dqzCwsI0efJkHT16VOvXr9fzzz/vc9gJgP90mr2ZAADAGHU+LPXBBx9o6NChnuXywDFx4kStXbtWjz/+uM6fP68pU6bo7NmzuvPOO7V161a1bNnS85x169Zp2rRpGjZsmEJCQjR69Gi98MILnsfbtGmjbdu2KTU1VX379tUNN9ygefPmcRk4gGan0+zNcoT+dP+nc3FsNY4HcO3qHG6GDBmimi6wstlsWrBggRYsWHDFMe3atVNGRkaN2+nZs6fee++9upYHGKvT7M1Bf55GTegPgHL8thQAADAK4QYAABiFcAMEEU4cBhAMCDcAAMAoxnxDMQAEGnvFgKaBPTcAAMAohBsAAGAUwg0AADAK4QYAABiFcAMYjBNcAQQjwg0AADAK4QYAABiFcAMAAIxCuAEAAEYh3AAAAKMQboAgxY9oAjAV4QaAkQhuQPAi3AAIKoQewHyEGwAAYBTCDQAAMArhBkCTx6EkAHVBuAEAAEYh3AAAAKMQbgAELQ53AWYi3AAAAKMQboAm7krfJMxeh+DBt0kDdUO4AQAARmkR6AIAIJDYIwKYhz03AADAKIQbAABgFMIN0IwF+4mmjfXag7nHQHNEuAEAAEbhhGIAAdec94w059oBU7HnBmjC+MMJAHVHuAFgDMIgAIlwAwAADMM5NwDw/9jzA5iBPTcAAMAo7LkBgDpiDw/QtLHnBkCzQrAAcDXsuQEMUfGPPgEAQDBjzw0AADAK4QZoYvy916W5/f5Uc6sXQNPDYSmgCeKPOwDUH+EGQJNFyANQHxyWAgAARmHPDQBUg71GQPPFnhugGeEPLgBcHeEGAAAYhXADAACMQrgBAABGIdwAAACjEG4AAIBRCDcAAMAohBsAAGAUwg0AADAK4QYAABjF7+EmPT1dNpvN59a5c2fP4xcvXlRqaqrat2+v6667TqNHj1Z+fr7PHKdOnVJKSorCw8MVFRWlmTNn6vLly/4uFQAAGKhBfluqW7du2r59u3cjLbybmTFjhjZv3qy//e1vatOmjaZNm6b7779f77//viSptLRUKSkpcjqd2rt3r7777jtNmDBBdrtdixYtaohyAeCq+OkLoPlokHDTokULOZ3OKusLCwv1l7/8RRkZGbrrrrskSa+88oq6dOmiffv2aeDAgdq2bZuOHTum7du3Kzo6Wr1799bChQs1a9YspaenKywsrCFKBgAAhmiQcPPZZ58pNjZWLVu2VEJCghYvXqwOHTooJydHbrdbiYmJnrGdO3dWhw4dlJ2drYEDByo7O1s9evRQdHS0Z0xycrKmTp2qo0ePqk+fPtVus6SkRCUlJZ7loqIiSZLb7Zbb7fbbayufy59zNmf0w8tfvXCEWv4opwq32+2Zu6b7FWuoy3PKn1fx31zF+aobV3FbJnOEWD7/K9XtfVJdr5srPjO86IVXxV74ox82y7L8+snyzjvv6Ny5c7rtttv03Xffaf78+fr222915MgRvf3225o0aZJPCJGk/v37a+jQoVqyZImmTJmikydPKjMz0/N4cXGxWrdurS1btmjEiBHVbjc9PV3z58+vsj4jI0Ph4eH+fIkAAKCBFBcXa+zYsSosLFRkZGS95vD7npuK4aNnz54aMGCAOnbsqA0bNqhVq1b+3pzHnDlzlJaW5lkuKipSXFyckpKS6t2c6rjdbrlcLg0fPlx2u91v8zZX9MPLX73onp559UHX6Eh6smc7le9XrKGmcZWfU/68I+nJVXpRvr7yuIrbMpkjxNLCfmWa+0GISspsVR6v2JvqVNfr5orPDC964VWxFxcuXLjm+RrksFRFbdu21a233qrPP/9cw4cP16VLl3T27Fm1bdvWMyY/P99zjo7T6dSBAwd85ii/mqq683jKORwOORyOKuvtdnuDvGkaat7min54XWsvSkqr/vHzN7vd7tlO5fsVa6hpXOXnlD+v4nJ5LyqvLym16Za52/5/qeFfb1NRUmar9v/fq71fqut1c8dnhhe98LLb7X65OrrBv+fm3Llz+uKLLxQTE6O+ffvKbrcrKyvL8/jx48d16tQpJSQkSJISEhL08ccfq6CgwDPG5XIpMjJSXbt2behyAQBAM+f3cPP73/9eu3bt0ldffaW9e/fqvvvuU2hoqB588EG1adNGkydPVlpamnbs2KGcnBxNmjRJCQkJGjhwoCQpKSlJXbt21fjx4/XRRx8pMzNTTzzxhFJTU6vdMwOYgMuMAcB//H5Y6ptvvtGDDz6o77//Xj/72c905513at++ffrZz34mSVq+fLlCQkI0evRolZSUKDk5WS+++KLn+aGhodq0aZOmTp2qhIQEtW7dWhMnTtSCBQv8XSoAADCQ38PN66+/XuPjLVu21MqVK7Vy5corjunYsaO2bNni79IAAEAQ4LelAACAUQg3QBDiHB8AJmvwS8EBXFmwhYxge70AAoNwA+CaEVoANCUclgIAAEYh3ACoM/bUAGjKOCwFNBEEBgDwD/bcAGgUhDcAjYVwAwAAjMJhKQANpnt6ZqP8yjkAVMSeGwDXhMNNAJoawg0AADAK4QYAABiFcAMAAIxCuAEAAEbhaikAftVp9mY5Qi0t7R/oSgAEK/bcALgiroQC0BwRbgAAgFEINwBqhb04Da/T7M30GfADwg3QyPgDBgANi3ADAACMQrgBAABGIdwAAcKhKQBoGIQbIMhVDFkELgAmINwAAACjEG4AAIBRCDcAAMAohBsAAGAUwg0AADAK4QYAABiFcAPAB5eDNw38TAdQf4SbeuqenhnoEgAAQDUINwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwBNAFdGAf5DuAGAACPYAP5FuAEaAd9ZAgCNh3ADNLCKoYaAAwANj3ADAACMQrgBAABGIdwAQDPEIU7gygg3AADAKIQbAABglBaBLgAwFYcNUF+8d4Brw54boAHwxwlNEe9LBAvCDQAAMArhBgAMwt4ZgHADAM0egQbwRbgBAABGIdwAAACjEG4AP+menhnoEmAgDjkBdUe4AQBDEYwQrAg3ANCMdJq92S+hheADk/ENxQDQTNQ2kBBcEOzYcwNcA3/9VzQQSLyHYZomvedm5cqVeuaZZ5SXl6devXppxYoV6t+/f6DLAoAmoWIoqSmgEF4QbJrsnpv169crLS1NTz75pA4dOqRevXopOTlZBQUFgS4NqKLiHw+umkJTUp9gwx5JNHdNNtw8++yzevjhhzVp0iR17dpVq1evVnh4uF5++eVAl4Ygxwc/mrO6vn95v6M5apKHpS5duqScnBzNmTPHsy4kJESJiYnKzs6u9jklJSUqKSnxLBcWFkqSzpw5I7fb7bfa3G63iouL1cIdou+//95v8zZX5f34/vvvZbfbA12O3wxYnKX9c4ZVuS9JLS6flyTd/PsNPv+AWpRZKi4uUwt3iErLbI1ZbpNDL3w11X7c/PsNkn76Q1B+f/+cYdW+x8sfLx8zYHGW576kKstXYupnRn3QC6+Kvbh48aIkybKs+k9oNUHffvutJcnau3evz/qZM2da/fv3r/Y5Tz75pCWJGzdu3Lhx42bA7euvv653jmiSe27qY86cOUpLS/Msl5WV6cyZM2rfvr1sNv/9l1JRUZHi4uL09ddfKzIy0m/zNlf0w4teeNELX/TDi1540Quvir2IiIjQjz/+qNjY2HrP1yTDzQ033KDQ0FDl5+f7rM/Pz5fT6az2OQ6HQw6Hw2dd27ZtG6pERUZGBv2bsSL64UUvvOiFL/rhRS+86IVXeS/atGlzTfM0yROKw8LC1LdvX2VlZXnWlZWVKSsrSwkJCQGsDAAANHVNcs+NJKWlpWnixInq16+f+vfvr+eee07nz5/XpEmTAl0aAABowppsuPmXf/kX/c///I/mzZunvLw89e7dW1u3blV0dHRA63I4HHryySerHAILVvTDi1540Qtf9MOLXnjRCy9/98JmWddyrRUAAEDT0iTPuQEAAKgvwg0AADAK4QYAABiFcAMAAIxCuKmjlStXqlOnTmrZsqUGDBigAwcOBLqkRrd48WLdcccdioiIUFRUlEaNGqXjx48Huqwm4Y9//KNsNpumT58e6FIC5ttvv9VDDz2k9u3bq1WrVurRo4c++OCDQJfV6EpLSzV37lzFx8erVatWuummm7Rw4cJr+72cZmT37t0aOXKkYmNjZbPZ9Oabb/o8blmW5s2bp5iYGLVq1UqJiYn67LPPAlNsA6upF263W7NmzVKPHj3UunVrxcbGasKECTp9+nTgCm5AV3tfVPTII4/IZrPpueeeq/N2CDd1sH79eqWlpenJJ5/UoUOH1KtXLyUnJ6ugoCDQpTWqXbt2KTU1Vfv27ZPL5ZLb7VZSUpLOnz8f6NIC6uDBg3rppZfUs2fPQJcSMD/88IMGDRoku92ud955R8eOHdOyZct0/fXXB7q0RrdkyRKtWrVK//Ef/6FPPvlES5Ys0dKlS7VixYpAl9Yozp8/r169emnlypXVPr506VK98MILWr16tfbv36/WrVsrOTnZ86OJJqmpF8XFxTp06JDmzp2rQ4cO6Y033tDx48d17733BqDShne190W5jRs3at++ffX/CYZ6/ypVEOrfv7+VmprqWS4tLbViY2OtxYsXB7CqwCsoKLAkWbt27Qp0KQHz448/WrfccovlcrmsX/3qV9ajjz4a6JICYtasWdadd94Z6DKahJSUFOs3v/mNz7r777/fGjduXIAqChxJ1saNGz3LZWVlltPptJ555hnPurNnz1oOh8P661//GoAKG0/lXlTnwIEDliTr5MmTjVNUgFypF9988431D//wD9aRI0esjh07WsuXL6/z3Oy5qaVLly4pJydHiYmJnnUhISFKTExUdnZ2ACsLvMLCQklSu3btAlxJ4KSmpiolJcXn/RGM3nrrLfXr10///M//rKioKPXp00f/+Z//GeiyAuIXv/iFsrKy9Pe//12S9NFHH2nPnj0aMWJEgCsLvBMnTigvL8/n30ubNm00YMCAoP88lX76TLXZbA36+4hNVVlZmcaPH6+ZM2eqW7du9Z6nyX5DcVPzv//7vyotLa3yDcnR0dH69NNPA1RV4JWVlWn69OkaNGiQunfvHuhyAuL111/XoUOHdPDgwUCXEnBffvmlVq1apbS0NP3hD3/QwYMH9bvf/U5hYWGaOHFioMtrVLNnz1ZRUZE6d+6s0NBQlZaW6umnn9a4ceMCXVrA5eXlSVK1n6fljwWrixcvatasWXrwwQeD8sc0lyxZohYtWuh3v/vdNc1DuME1SU1N1ZEjR7Rnz55AlxIQX3/9tR599FG5XC61bNky0OUEXFlZmfr166dFixZJkvr06aMjR45o9erVQRduNmzYoHXr1ikjI0PdunVTbm6upk+frtjY2KDrBWrH7XbrgQcekGVZWrVqVaDLaXQ5OTl6/vnndejQIdlstmuai8NStXTDDTcoNDRU+fn5Puvz8/PldDoDVFVgTZs2TZs2bdKOHTt04403BrqcgMjJyVFBQYFuv/12tWjRQi1atNCuXbv0wgsvqEWLFiotLQ10iY0qJiZGXbt29VnXpUsXnTp1KkAVBc7MmTM1e/ZsjRkzRj169ND48eM1Y8YMLV68ONClBVz5Zyafp17lwebkyZNyuVxBudfmvffeU0FBgTp06OD5PD158qQee+wxderUqU5zEW5qKSwsTH379lVWVpZnXVlZmbKyspSQkBDAyhqfZVmaNm2aNm7cqHfffVfx8fGBLilghg0bpo8//li5ubmeW79+/TRu3Djl5uYqNDQ00CU2qkGDBlX5WoC///3v6tixY4AqCpzi4mKFhPh+xIaGhqqsrCxAFTUd8fHxcjqdPp+nRUVF2r9/f9B9nkreYPPZZ59p+/btat++faBLCojx48fr8OHDPp+nsbGxmjlzpjIzM+s0F4el6iAtLU0TJ05Uv3791L9/fz333HM6f/68Jk2aFOjSGlVqaqoyMjL03//934qIiPAcI2/Tpo1atWoV4OoaV0RERJVzjVq3bq327dsH5TlIM2bM0C9+8QstWrRIDzzwgA4cOKA1a9ZozZo1gS6t0Y0cOVJPP/20OnTooG7duunDDz/Us88+q9/85jeBLq1RnDt3Tp9//rln+cSJE8rNzVW7du3UoUMHTZ8+XU899ZRuueUWxcfHa+7cuYqNjdWoUaMCV3QDqakXMTEx+qd/+icdOnRImzZtUmlpqecztV27dgoLCwtU2Q3iau+LysHObrfL6XTqtttuq9uGrvVSrmCzYsUKq0OHDlZYWJjVv39/a9++fYEuqdFJqvb2yiuvBLq0JiGYLwW3LMt6++23re7du1sOh8Pq3LmztWbNmkCXFBBFRUXWo48+anXo0MFq2bKl9fOf/9z693//d6ukpCTQpTWKHTt2VPs5MXHiRMuyfrocfO7cuVZ0dLTlcDisYcOGWcePHw9s0Q2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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4125,10 +4133,10 @@
    "execution_count": 48,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:03.510443Z",
-     "iopub.status.busy": "2024-09-05T02:51:03.510116Z",
-     "iopub.status.idle": "2024-09-05T02:51:03.603619Z",
-     "shell.execute_reply": "2024-09-05T02:51:03.603102Z"
+     "iopub.execute_input": "2024-11-05T02:51:02.342302Z",
+     "iopub.status.busy": "2024-11-05T02:51:02.341963Z",
+     "iopub.status.idle": "2024-11-05T02:51:02.444174Z",
+     "shell.execute_reply": "2024-11-05T02:51:02.443602Z"
     }
    },
    "outputs": [
@@ -4161,39 +4169,39 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>28</th>\n",
+       "      <th>34</th>\n",
        "      <td>7.78</td>\n",
        "      <td>None</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.78 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>52</th>\n",
-       "      <td>7.9</td>\n",
+       "      <th>53</th>\n",
+       "      <td>8.16</td>\n",
        "      <td>None</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.9 dimensionless</td>\n",
+       "      <td>8.16 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>58</th>\n",
-       "      <td>7.69</td>\n",
+       "      <th>62</th>\n",
+       "      <td>8.05</td>\n",
        "      <td>None</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.69 dimensionless</td>\n",
+       "      <td>8.05 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>59</th>\n",
-       "      <td>6.16</td>\n",
+       "      <th>64</th>\n",
+       "      <td>7.9</td>\n",
        "      <td>None</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>6.16 dimensionless</td>\n",
+       "      <td>7.9 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>61</th>\n",
-       "      <td>7.4</td>\n",
+       "      <th>70</th>\n",
+       "      <td>7.69</td>\n",
        "      <td>None</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.4 dimensionless</td>\n",
+       "      <td>7.69 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -4203,35 +4211,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416595</th>\n",
+       "      <th>456993</th>\n",
        "      <td>5.8</td>\n",
        "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
        "      <td>5.8 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416597</th>\n",
+       "      <th>456995</th>\n",
        "      <td>7.3</td>\n",
        "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.3 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416601</th>\n",
+       "      <th>456999</th>\n",
        "      <td>7.4</td>\n",
        "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.4 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416605</th>\n",
+       "      <th>457003</th>\n",
        "      <td>7.5</td>\n",
        "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.5 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416609</th>\n",
+       "      <th>457007</th>\n",
        "      <td>7.4</td>\n",
        "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
@@ -4239,37 +4247,37 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>94631 rows × 4 columns</p>\n",
+       "<p>102865 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "28                   7.78                          None     NaN   \n",
-       "52                    7.9                          None     NaN   \n",
-       "58                   7.69                          None     NaN   \n",
-       "59                   6.16                          None     NaN   \n",
-       "61                    7.4                          None     NaN   \n",
+       "34                   7.78                          None     NaN   \n",
+       "53                   8.16                          None     NaN   \n",
+       "62                   8.05                          None     NaN   \n",
+       "64                    7.9                          None     NaN   \n",
+       "70                   7.69                          None     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "416595                5.8                     std units     NaN   \n",
-       "416597                7.3                     std units     NaN   \n",
-       "416601                7.4                     std units     NaN   \n",
-       "416605                7.5                     std units     NaN   \n",
-       "416609                7.4                     std units     NaN   \n",
+       "456993                5.8                     std units     NaN   \n",
+       "456995                7.3                     std units     NaN   \n",
+       "456999                7.4                     std units     NaN   \n",
+       "457003                7.5                     std units     NaN   \n",
+       "457007                7.4                     std units     NaN   \n",
        "\n",
        "                        pH  \n",
-       "28      7.78 dimensionless  \n",
-       "52       7.9 dimensionless  \n",
-       "58      7.69 dimensionless  \n",
-       "59      6.16 dimensionless  \n",
-       "61       7.4 dimensionless  \n",
+       "34      7.78 dimensionless  \n",
+       "53      8.16 dimensionless  \n",
+       "62      8.05 dimensionless  \n",
+       "64       7.9 dimensionless  \n",
+       "70      7.69 dimensionless  \n",
        "...                    ...  \n",
-       "416595   5.8 dimensionless  \n",
-       "416597   7.3 dimensionless  \n",
-       "416601   7.4 dimensionless  \n",
-       "416605   7.5 dimensionless  \n",
-       "416609   7.4 dimensionless  \n",
+       "456993   5.8 dimensionless  \n",
+       "456995   7.3 dimensionless  \n",
+       "456999   7.4 dimensionless  \n",
+       "457003   7.5 dimensionless  \n",
+       "457007   7.4 dimensionless  \n",
        "\n",
-       "[94631 rows x 4 columns]"
+       "[102865 rows x 4 columns]"
       ]
      },
      "execution_count": 48,
@@ -4300,10 +4308,10 @@
    "execution_count": 49,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:03.605890Z",
-     "iopub.status.busy": "2024-09-05T02:51:03.605527Z",
-     "iopub.status.idle": "2024-09-05T02:51:08.034244Z",
-     "shell.execute_reply": "2024-09-05T02:51:08.033775Z"
+     "iopub.execute_input": "2024-11-05T02:51:02.446003Z",
+     "iopub.status.busy": "2024-11-05T02:51:02.445683Z",
+     "iopub.status.idle": "2024-11-05T02:51:07.838524Z",
+     "shell.execute_reply": "2024-11-05T02:51:07.837927Z"
     }
    },
    "outputs": [
@@ -4311,7 +4319,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/basis.py:154: UserWarning: Mismatched ResultTemperatureBasisText: updated from 25 deg C to @25C (units)\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/basis.py:154: UserWarning: Mismatched ResultTemperatureBasisText: updated from 25 deg C to @25C (units)\n",
       "  warn(f\"Mismatched {flag}\", UserWarning)\n"
      ]
     },
@@ -4319,7 +4327,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'deg C' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'deg C' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -4328,23 +4336,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    30755.000000\n",
-      "mean        19.334149\n",
-      "std         27.164539\n",
+      "count    36885.000000\n",
+      "mean        20.630282\n",
+      "std         25.215980\n",
       "min          0.000000\n",
-      "25%          0.535000\n",
-      "50%         29.000000\n",
-      "75%         31.100000\n",
+      "25%          0.900000\n",
+      "50%         29.700000\n",
+      "75%         31.380000\n",
       "max       4003.482834\n",
       "dtype: float64\n",
-      "Unusable results: 217\n",
+      "Unusable results: 218\n",
       "Usable results with inferred units: 1\n",
-      "Results outside threshold (0.0 to 182.3213833602183): 2\n"
+      "Results outside threshold (0.0 to 171.9261609723403): 2\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4363,10 +4371,10 @@
    "execution_count": 50,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:08.036401Z",
-     "iopub.status.busy": "2024-09-05T02:51:08.036056Z",
-     "iopub.status.idle": "2024-09-05T02:51:08.094407Z",
-     "shell.execute_reply": "2024-09-05T02:51:08.093766Z"
+     "iopub.execute_input": "2024-11-05T02:51:07.840604Z",
+     "iopub.status.busy": "2024-11-05T02:51:07.840230Z",
+     "iopub.status.idle": "2024-11-05T02:51:07.906823Z",
+     "shell.execute_reply": "2024-11-05T02:51:07.906329Z"
     }
    },
    "outputs": [
@@ -4399,39 +4407,39 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>21</th>\n",
+       "      <th>27</th>\n",
        "      <td>33.3</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>33.3 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>49</th>\n",
+       "      <th>37</th>\n",
+       "      <td>30.91</td>\n",
+       "      <td>ppt</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>30.91 Practical_Salinity_Units</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
        "      <td>32.7</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>32.7 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>88</th>\n",
-       "      <td>30.48</td>\n",
+       "      <th>85</th>\n",
+       "      <td>30.33</td>\n",
        "      <td>ppt</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>30.48 Practical_Salinity_Units</td>\n",
+       "      <td>30.33 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>96</th>\n",
-       "      <td>0.21</td>\n",
-       "      <td>ppth</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.21 Practical_Salinity_Units</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>12.3</td>\n",
-       "      <td>ppth</td>\n",
+       "      <th>106</th>\n",
+       "      <td>30.48</td>\n",
+       "      <td>ppt</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>12.3 Practical_Salinity_Units</td>\n",
+       "      <td>30.48 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -4441,35 +4449,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415403</th>\n",
+       "      <th>455801</th>\n",
        "      <td>9.9</td>\n",
        "      <td>PSU</td>\n",
        "      <td>NaN</td>\n",
        "      <td>9.9 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416008</th>\n",
+       "      <th>456406</th>\n",
        "      <td>4.6</td>\n",
        "      <td>PSU</td>\n",
        "      <td>NaN</td>\n",
        "      <td>4.6 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416108</th>\n",
+       "      <th>456506</th>\n",
        "      <td>21.0</td>\n",
        "      <td>PSU</td>\n",
        "      <td>NaN</td>\n",
        "      <td>21.0 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416121</th>\n",
+       "      <th>456519</th>\n",
        "      <td>18.7</td>\n",
        "      <td>PSU</td>\n",
        "      <td>NaN</td>\n",
        "      <td>18.7 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416232</th>\n",
+       "      <th>456630</th>\n",
        "      <td>10.1</td>\n",
        "      <td>PSU</td>\n",
        "      <td>NaN</td>\n",
@@ -4477,37 +4485,37 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>30972 rows × 4 columns</p>\n",
+       "<p>37103 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "21                   33.3                          ppth     NaN   \n",
-       "49                   32.7                          ppth     NaN   \n",
-       "88                  30.48                           ppt     NaN   \n",
-       "96                   0.21                          ppth     NaN   \n",
-       "98                   12.3                          ppth     NaN   \n",
+       "27                   33.3                          ppth     NaN   \n",
+       "37                  30.91                           ppt     NaN   \n",
+       "60                   32.7                          ppth     NaN   \n",
+       "85                  30.33                           ppt     NaN   \n",
+       "106                 30.48                           ppt     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "415403                9.9                           PSU     NaN   \n",
-       "416008                4.6                           PSU     NaN   \n",
-       "416108               21.0                           PSU     NaN   \n",
-       "416121               18.7                           PSU     NaN   \n",
-       "416232               10.1                           PSU     NaN   \n",
+       "455801                9.9                           PSU     NaN   \n",
+       "456406                4.6                           PSU     NaN   \n",
+       "456506               21.0                           PSU     NaN   \n",
+       "456519               18.7                           PSU     NaN   \n",
+       "456630               10.1                           PSU     NaN   \n",
        "\n",
        "                              Salinity  \n",
-       "21       33.3 Practical_Salinity_Units  \n",
-       "49       32.7 Practical_Salinity_Units  \n",
-       "88      30.48 Practical_Salinity_Units  \n",
-       "96       0.21 Practical_Salinity_Units  \n",
-       "98       12.3 Practical_Salinity_Units  \n",
+       "27       33.3 Practical_Salinity_Units  \n",
+       "37      30.91 Practical_Salinity_Units  \n",
+       "60       32.7 Practical_Salinity_Units  \n",
+       "85      30.33 Practical_Salinity_Units  \n",
+       "106     30.48 Practical_Salinity_Units  \n",
        "...                                ...  \n",
-       "415403    9.9 Practical_Salinity_Units  \n",
-       "416008    4.6 Practical_Salinity_Units  \n",
-       "416108   21.0 Practical_Salinity_Units  \n",
-       "416121   18.7 Practical_Salinity_Units  \n",
-       "416232   10.1 Practical_Salinity_Units  \n",
+       "455801    9.9 Practical_Salinity_Units  \n",
+       "456406    4.6 Practical_Salinity_Units  \n",
+       "456506   21.0 Practical_Salinity_Units  \n",
+       "456519   18.7 Practical_Salinity_Units  \n",
+       "456630   10.1 Practical_Salinity_Units  \n",
        "\n",
-       "[30972 rows x 4 columns]"
+       "[37103 rows x 4 columns]"
       ]
      },
      "execution_count": 50,
@@ -4532,10 +4540,10 @@
    "execution_count": 51,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:08.096635Z",
-     "iopub.status.busy": "2024-09-05T02:51:08.096302Z",
-     "iopub.status.idle": "2024-09-05T02:51:12.691537Z",
-     "shell.execute_reply": "2024-09-05T02:51:12.690843Z"
+     "iopub.execute_input": "2024-11-05T02:51:07.908587Z",
+     "iopub.status.busy": "2024-11-05T02:51:07.908418Z",
+     "iopub.status.idle": "2024-11-05T02:51:12.192575Z",
+     "shell.execute_reply": "2024-11-05T02:51:12.192038Z"
     }
    },
    "outputs": [
@@ -4543,9 +4551,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n",
-      "  warn(\"WARNING: \" + problem)\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n",
+      "  warn(\"WARNING: \" + problem)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n",
       "  data = np.array(data, copy=copy)\n"
      ]
     },
@@ -4589,10 +4603,10 @@
    "execution_count": 52,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:12.693910Z",
-     "iopub.status.busy": "2024-09-05T02:51:12.693522Z",
-     "iopub.status.idle": "2024-09-05T02:51:12.727640Z",
-     "shell.execute_reply": "2024-09-05T02:51:12.727032Z"
+     "iopub.execute_input": "2024-11-05T02:51:12.194510Z",
+     "iopub.status.busy": "2024-11-05T02:51:12.194172Z",
+     "iopub.status.idle": "2024-11-05T02:51:12.226779Z",
+     "shell.execute_reply": "2024-11-05T02:51:12.226182Z"
     }
    },
    "outputs": [
@@ -4625,35 +4639,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>648</th>\n",
+       "      <th>777</th>\n",
        "      <td>0.926976</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.926976 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>751</th>\n",
+       "      <th>905</th>\n",
        "      <td>1.571196</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>1.571196 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>757</th>\n",
+       "      <th>911</th>\n",
        "      <td>0.816144</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.816144 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1018</th>\n",
+       "      <th>1227</th>\n",
        "      <td>0.848832</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.848832 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1063</th>\n",
+       "      <th>1281</th>\n",
        "      <td>0.770448</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -4667,35 +4681,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416428</th>\n",
+       "      <th>456826</th>\n",
        "      <td>0.119</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.119 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416486</th>\n",
+       "      <th>456884</th>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416529</th>\n",
+       "      <th>456927</th>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416535</th>\n",
+       "      <th>456933</th>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416572</th>\n",
+       "      <th>456970</th>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
@@ -4708,43 +4722,43 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode  \\\n",
-       "648              0.926976                          mg/L   \n",
-       "751              1.571196                          mg/L   \n",
-       "757              0.816144                          mg/L   \n",
-       "1018             0.848832                          mg/L   \n",
-       "1063             0.770448                          mg/L   \n",
+       "777              0.926976                          mg/L   \n",
+       "905              1.571196                          mg/L   \n",
+       "911              0.816144                          mg/L   \n",
+       "1227             0.848832                          mg/L   \n",
+       "1281             0.770448                          mg/L   \n",
        "...                   ...                           ...   \n",
-       "416428              0.119                          mg/l   \n",
-       "416486                NaN                           NaN   \n",
-       "416529                NaN                           NaN   \n",
-       "416535                NaN                           NaN   \n",
-       "416572                NaN                           NaN   \n",
+       "456826              0.119                          mg/l   \n",
+       "456884                NaN                           NaN   \n",
+       "456927                NaN                           NaN   \n",
+       "456933                NaN                           NaN   \n",
+       "456970                NaN                           NaN   \n",
        "\n",
        "                                                  QA_flag  \\\n",
-       "648                                                   NaN   \n",
-       "751                                                   NaN   \n",
-       "757                                                   NaN   \n",
-       "1018                                                  NaN   \n",
-       "1063                                                  NaN   \n",
+       "777                                                   NaN   \n",
+       "905                                                   NaN   \n",
+       "911                                                   NaN   \n",
+       "1227                                                  NaN   \n",
+       "1281                                                  NaN   \n",
        "...                                                   ...   \n",
-       "416428                                                NaN   \n",
-       "416486  ResultMeasureValue: missing (NaN) result; Resu...   \n",
-       "416529  ResultMeasureValue: missing (NaN) result; Resu...   \n",
-       "416535  ResultMeasureValue: missing (NaN) result; Resu...   \n",
-       "416572  ResultMeasureValue: missing (NaN) result; Resu...   \n",
+       "456826                                                NaN   \n",
+       "456884  ResultMeasureValue: missing (NaN) result; Resu...   \n",
+       "456927  ResultMeasureValue: missing (NaN) result; Resu...   \n",
+       "456933  ResultMeasureValue: missing (NaN) result; Resu...   \n",
+       "456970  ResultMeasureValue: missing (NaN) result; Resu...   \n",
        "\n",
        "                          Nitrogen  \n",
-       "648     0.926976 milligram / liter  \n",
-       "751     1.571196 milligram / liter  \n",
-       "757     0.816144 milligram / liter  \n",
-       "1018    0.848832 milligram / liter  \n",
-       "1063    0.770448 milligram / liter  \n",
+       "777     0.926976 milligram / liter  \n",
+       "905     1.571196 milligram / liter  \n",
+       "911     0.816144 milligram / liter  \n",
+       "1227    0.848832 milligram / liter  \n",
+       "1281    0.770448 milligram / liter  \n",
        "...                            ...  \n",
-       "416428     0.119 milligram / liter  \n",
-       "416486                         NaN  \n",
-       "416529                         NaN  \n",
-       "416535                         NaN  \n",
-       "416572                         NaN  \n",
+       "456826     0.119 milligram / liter  \n",
+       "456884                         NaN  \n",
+       "456927                         NaN  \n",
+       "456933                         NaN  \n",
+       "456970                         NaN  \n",
        "\n",
        "[2652 rows x 4 columns]"
       ]
@@ -4771,10 +4785,10 @@
    "execution_count": 53,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:12.729641Z",
-     "iopub.status.busy": "2024-09-05T02:51:12.729469Z",
-     "iopub.status.idle": "2024-09-05T02:51:14.779435Z",
-     "shell.execute_reply": "2024-09-05T02:51:14.778811Z"
+     "iopub.execute_input": "2024-11-05T02:51:12.228581Z",
+     "iopub.status.busy": "2024-11-05T02:51:12.228305Z",
+     "iopub.status.idle": "2024-11-05T02:51:15.805715Z",
+     "shell.execute_reply": "2024-11-05T02:51:15.805197Z"
     }
    },
    "outputs": [
@@ -4782,7 +4796,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -4791,23 +4805,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count     2599.000000\n",
-      "mean      1093.016402\n",
-      "std       4249.270869\n",
+      "count     8662.000000\n",
+      "mean     23693.803883\n",
+      "std      17386.352366\n",
       "min          0.000000\n",
-      "25%        280.500000\n",
-      "50%        402.000000\n",
-      "75%        553.000000\n",
-      "max      48600.000000\n",
+      "25%        621.000000\n",
+      "50%      27842.112921\n",
+      "75%      39970.000000\n",
+      "max      57700.000000\n",
       "dtype: float64\n",
-      "Unusable results: 80\n",
+      "Unusable results: 81\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 26588.641616518235): 29\n"
+      "Results outside threshold (0.0 to 128011.91807913117): 0\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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EAACsRRECAADWoggBAABrUYQAAIC12lyEysvLdcMNNygzM1NRUVFavXp12HpjjBYsWKCMjAwlJCQoPz9fBw8eDBtz7NgxzZgxQz6fT8nJyZo1a5bq6+vDxuzevVvjx49XfHy8srKytGTJkrbvHQAAwAW0uQidPHlSI0eOVGlpaYvrlyxZomeeeUbLli3T9u3b9ZWvfEWFhYX69NNPnTEzZszQ3r17FQgEtGbNGpWXl+vuu+921tfV1amgoEDZ2dmqrKzUo48+qkWLFum5555zsYsAAAAti23rN0yZMkVTpkxpcZ0xRk899ZQefPBB3XjjjZKk//zP/1RaWppWr16t6dOna//+/Vq/fr3efvttjRkzRpL07LPP6vrrr9djjz2mzMxMrVixQqdPn9bzzz8vj8ejoUOHqqqqSk888URYYQIAALgYbS5CF3Lo0CEFg0Hl5+c7y5KSkpSXl6eKigpNnz5dFRUVSk5OdkqQJOXn5ys6Olrbt2/XzTffrIqKCk2YMEEej8cZU1hYqJ/+9Kf6+OOP1adPn2bbbmhoUENDg/O4rq5OkhQKhRQKhSK2j03P5Y02LS7H+TVlRFZtQ27ukJs75OYOubnTUm4dnWFEi1AwGJQkpaWlhS1PS0tz1gWDQaWmpoZPIjZWKSkpYWNycnKaPUfTupaKUElJiRYvXtxseVlZmRITE13u0fk9PKYx7PG6desivo2eKhAIdPYUuiVyc4fc3CE3d8jNnXNzO3XqVIduO6JFqDPNnz9fxcXFzuO6ujplZWWpoKBAPp8vYtsJhUIKBAL60c5oNTRGOcurFxVGbBs9VVN2kyZNUlxcXGdPp9sgN3fIzR1yc4fc3Gkpt6YrOh0lokUoPT1dklRTU6OMjAxneU1NjUaNGuWMOXr0aNj3nTlzRseOHXO+Pz09XTU1NWFjmh43jfkir9crr9fbbHlcXFy7HJQNjVFqOPt5EeLAb732+pn0dOTmDrm5Q27ukJs75+bW0flF9O8I5eTkKD09XRs3bnSW1dXVafv27fL7/ZIkv9+v2tpaVVZWOmM2bdqkxsZG5eXlOWPKy8vDrhMGAgENHDiwxctiAAAAbrS5CNXX16uqqkpVVVWSPnuDdFVVlQ4fPqyoqCjNnTtXP/7xj/Xaa69pz549uvPOO5WZmambbrpJkjR48GBNnjxZd911l3bs2KGtW7dqzpw5mj59ujIzMyVJt99+uzwej2bNmqW9e/fqpZde0tNPPx126QsAAOBitfnS2M6dO/X1r3/dedxUTmbOnKnly5frvvvu08mTJ3X33XertrZW48aN0/r16xUfH+98z4oVKzRnzhxNnDhR0dHRmjZtmp555hlnfVJSksrKylRUVKTc3Fz169dPCxYs4NZ5AAAQUW0uQtdee62MMeddHxUVpYceekgPPfTQecekpKRo5cqVF9zOiBEj9Oabb7Z1egAAAK3GZ40BAABrUYQAAIC1KEIAAMBaFCEAAGAtihAAALAWRQgAAFiLIgQAAKxFEQIAANaiCAEAAGtRhAAAgLUoQgAAwFoUIQAAYC2KEAAAsBZFCAAAWIsiBAAArEURAgAA1qIIAQAAa1GEAACAtShCAADAWhQhAABgLYoQAACwFkUIAABYiyIEAACsRRECAADWoggBAABrUYQAAIC1KEIAAMBaFCEAAGAtihAAALAWRQgAAFiLIgQAAKxFEQIAANaiCAEAAGtRhAAAgLUoQgAAwFoUIQAAYC2KEAAAsBZFCAAAWIsiBAAArEURAgAA1qIIAQAAa1GEAACAtShCAADAWhQhAABgLYoQAACwFkUIAABYiyIEAACsRRECAADWoggBAABrUYQAAIC1KEIAAMBaFCEAAGAtihAAALAWRQgAAFiLIgQAAKxFEQIAANaiCAEAAGtRhAAAgLUoQgAAwFoUIQAAYC2KEAAAsBZFCAAAWIsiBAAArEURAgAA1qIIAQAAa1GEAACAtShCAADAWhQhAABgLYoQAACwFkUIAABYK+JFaNGiRYqKigr7GjRokLP+008/VVFRkfr27atevXpp2rRpqqmpCXuOw4cPa+rUqUpMTFRqaqrmzZunM2fORHqqAADAcrHt8aRDhw7V66+//vlGYj/fzPe//32tXbtWr7zyipKSkjRnzhzdcsst2rp1qyTp7Nmzmjp1qtLT0/W73/1OR44c0Z133qm4uDj95Cc/aY/pAgAAS7VLEYqNjVV6enqz5cePH9cvfvELrVy5Utddd50k6YUXXtDgwYO1bds2jR07VmVlZdq3b59ef/11paWladSoUXr44Yd1//33a9GiRfJ4PO0xZQAAYKF2KUIHDx5UZmam4uPj5ff7VVJSov79+6uyslKhUEj5+fnO2EGDBql///6qqKjQ2LFjVVFRoeHDhystLc0ZU1hYqNmzZ2vv3r0aPXp0i9tsaGhQQ0OD87iurk6SFAqFFAqFIrZvTc/ljTYtLsf5NWVEVm1Dbu6Qmzvk5g65udNSbh2dYcSLUF5enpYvX66BAwfqyJEjWrx4scaPH6/q6moFg0F5PB4lJyeHfU9aWpqCwaAkKRgMhpWgpvVN686npKREixcvbra8rKxMiYmJF7lXzT08pjHs8bp16yK+jZ4qEAh09hS6JXJzh9zcITd3yM2dc3M7depUh2474kVoypQpzr9HjBihvLw8ZWdn6+WXX1ZCQkKkN+eYP3++iouLncd1dXXKyspSQUGBfD5fxLYTCoUUCAT0o53RamiMcpZXLyqM2DZ6qqbsJk2apLi4uM6eTrdBbu6Qmzvk5g65udNSbk1XdDpKu1waO1dycrKuvPJKvfPOO5o0aZJOnz6t2trasLNCNTU1znuK0tPTtWPHjrDnaLqrrKX3HTXxer3yer3NlsfFxbXLQdnQGKWGs58XIQ781muvn0lPR27ukJs75OYOublzbm4dnV+7/x2h+vp6vfvuu8rIyFBubq7i4uK0ceNGZ/2BAwd0+PBh+f1+SZLf79eePXt09OhRZ0wgEJDP59OQIUPae7oAAMAiET8j9IMf/EA33HCDsrOz9eGHH2rhwoWKiYnRbbfdpqSkJM2aNUvFxcVKSUmRz+fTd7/7Xfn9fo0dO1aSVFBQoCFDhuiOO+7QkiVLFAwG9eCDD6qoqKjFMz4AAABuRbwI/fGPf9Rtt92mjz76SJdcconGjRunbdu26ZJLLpEkPfnkk4qOjta0adPU0NCgwsJC/exnP3O+PyYmRmvWrNHs2bPl9/v1la98RTNnztRDDz0U6akCAADLRbwIrVq16oLr4+PjVVpaqtLS0vOOyc7O5i4sAADQ7visMQAAYC2KEAAAsBZFCAAAWIsiBAAArEURAgAA1qIIAQAAa1GEAACAtShCAADAWhQhAABgLYoQAACwFkUIAABYiyIEAACsRRECAADWoggBAABrUYQAAIC1KEIAAMBaFCEAAGAtihAAALAWRQgAAFiLIgQAAKxFEQIAANaiCAEAAGtRhAAAgLUoQgAAwFqxnT2BnuKyB9Y2W/b+I1M7YSYAAKC1OCMEAACsRRECAADWoggBAABrUYQAAIC1KEIAAMBaFCEAAGAtihAAALAWRQgAAFiLIgQAAKxFEQIAANaiCAEAAGvxWWMAgC7li5/dyOc2oj1xRggAAFiLIgQAAKxFEQIAANaiCAEAAGtRhAAAgLW4awwA0Gm+eIdYa8dwJxkihTNCAADAWhQhAABgLS6NAQA6RGsugwEdjTNCAADAWpwRAgBcFN7MjO6MM0IAAMBaFCEAAGAtLo0B6LIi+SnkXL7p+fgZww2KEAAg4tr7DjHuQEOkUIQAdGucBWhfkTwrB3RFFCEA1qJEAaAIAegS3H7mlM06o8jxM0BPQxEC0ONc9sBaeWOMllwtDVu0QQ1nozp7SgC6KIoQ0MUNW7Qh7AWdSzcdrzvdvdbaMzYcR8BnKEJAJ2ntC5Y35su/jxc1tNX5jj/OpME2FCGgA/C+ip6ltWWUnzvQ9VGEgIvQVc7OdJV5oP1Qqtzh/xv4MhQhIMJ4wereOuPnx4s10Hn4rDEAAGAtzggBQARE+kwSZxbbj9tsOUvXM3FGCAAAWIszQoBFusp7UTjbAaCroAgB59HdX6xbO/+uUo6Aro7/r/RMFCH0GPxFXQBAW1GE0C1dzNka/qvuy7Um39Zm1t3PrAHo2ShC6Bba+8WUF2sAsBNFCIArnFkD0BN06dvnS0tLddlllyk+Pl55eXnasWNHZ08JF2HYog3O/172wFrOwgDo9pp+l537+w3dS5c9I/TSSy+puLhYy5YtU15enp566ikVFhbqwIEDSk1N7ezpIUI4q9CzUG4BdDddtgg98cQTuuuuu/Ttb39bkrRs2TKtXbtWzz//vB544IFOnl3rXMyLgs1lgBdTAN0Z/4HXvXTJInT69GlVVlZq/vz5zrLo6Gjl5+eroqKixe9paGhQQ0OD8/j48eOSpGPHjikUCkVsbqFQSKdOnVJsKFpnG6Mi9rxfNOAHL4c93j5/Yrtt62LllWxs1ThvtNGpU43tnl1PE9tIbm6Qmzvk5s6X5fbF3+lS1/693lGaXlM/+ugjxcXFSZJOnDghSTLGdMgcumQR+stf/qKzZ88qLS0tbHlaWpr+93//t8XvKSkp0eLFi5stz8nJaZc5drR+j3f2DCLj9s6eQDdFbu6Qmzvk5k5bc+spv9fby4kTJ5SUlNTu2+mSRciN+fPnq7i42Hnc2NioY8eOqW/fvoqKitx/1dTV1SkrK0sffPCBfD5fxJ7XBmTnDrm5Q27ukJs75OZOS7kZY3TixAllZmZ2yBy6ZBHq16+fYmJiVFNTE7a8pqZG6enpLX6P1+uV1+sNW5acnNxeU5TP5+Ngd4ns3CE3d8jNHXJzh9zc+WJuHXEmqEmXvH3e4/EoNzdXGzd+/t6TxsZGbdy4UX6/vxNnBgAAepIueUZIkoqLizVz5kyNGTNGV199tZ566imdPHnSuYsMAADgYnXZInTrrbfqz3/+sxYsWKBgMKhRo0Zp/fr1zd5A3dG8Xq8WLlzY7DIcvhzZuUNu7pCbO+TmDrm50xVyizIddX8aAABAF9Ml3yMEAADQEShCAADAWhQhAABgLYoQAACwFkWojUpLS3XZZZcpPj5eeXl52rFjR2dPqd2Ul5frhhtuUGZmpqKiorR69eqw9cYYLViwQBkZGUpISFB+fr4OHjwYNubYsWOaMWOGfD6fkpOTNWvWLNXX14eN2b17t8aPH6/4+HhlZWVpyZIlzebyyiuvaNCgQYqPj9fw4cO1bt26iO9vpJSUlOhrX/uaevfurdTUVN100006cOBA2JhPP/1URUVF6tu3r3r16qVp06Y1+wOihw8f1tSpU5WYmKjU1FTNmzdPZ86cCRuzefNmXXXVVfJ6vRowYICWL1/ebD7d5ZhdunSpRowY4fxhNb/fr9/+9rfOejJrnUceeURRUVGaO3eus4zsmlu0aJGioqLCvgYNGuSsJ7Pz+9Of/qRvfvOb6tu3rxISEjR8+HDt3LnTWd/tXhsMWm3VqlXG4/GY559/3uzdu9fcddddJjk52dTU1HT21NrFunXrzL/8y7+YX/3qV0aSefXVV8PWP/LIIyYpKcmsXr3a/P73vzff+MY3TE5Ojvnkk0+cMZMnTzYjR44027ZtM2+++aYZMGCAue2225z1x48fN2lpaWbGjBmmurravPjiiyYhIcH8+7//uzNm69atJiYmxixZssTs27fPPPjggyYuLs7s2bOn3TNwo7Cw0LzwwgumurraVFVVmeuvv97079/f1NfXO2Puuecek5WVZTZu3Gh27txpxo4da/76r//aWX/mzBkzbNgwk5+fb3bt2mXWrVtn+vXrZ+bPn++Mee+990xiYqIpLi42+/btM88++6yJiYkx69evd8Z0p2P2tddeM2vXrjV/+MMfzIEDB8wPf/hDExcXZ6qrq40xZNYaO3bsMJdddpkZMWKE+d73vucsJ7vmFi5caIYOHWqOHDnifP35z3921pNZy44dO2ays7PNt771LbN9+3bz3nvvmQ0bNph33nnHGdPdXhsoQm1w9dVXm6KiIufx2bNnTWZmpikpKenEWXWMLxahxsZGk56ebh599FFnWW1trfF6vebFF180xhizb98+I8m8/fbbzpjf/va3JioqyvzpT38yxhjzs5/9zPTp08c0NDQ4Y+6//34zcOBA5/Hf//3fm6lTp4bNJy8vz/zjP/5jRPexvRw9etRIMlu2bDHGfJZTXFyceeWVV5wx+/fvN5JMRUWFMeazEhodHW2CwaAzZunSpcbn8zlZ3XfffWbo0KFh27r11ltNYWGh87i7H7N9+vQxP//5z8msFU6cOGGuuOIKEwgEzN/8zd84RYjsWrZw4UIzcuTIFteR2fndf//9Zty4cedd3x1fG7g01kqnT59WZWWl8vPznWXR0dHKz89XRUVFJ86scxw6dEjBYDAsj6SkJOXl5Tl5VFRUKDk5WWPGjHHG5OfnKzo6Wtu3b3fGTJgwQR6PxxlTWFioAwcO6OOPP3bGnLudpjHdJffjx49LklJSUiRJlZWVCoVCYfs0aNAg9e/fPyy74cOHh/0B0cLCQtXV1Wnv3r3OmAvl0p2P2bNnz2rVqlU6efKk/H4/mbVCUVGRpk6d2mz/yO78Dh48qMzMTF1++eWaMWOGDh8+LInMLuS1117TmDFj9Hd/93dKTU3V6NGj9R//8R/O+u742kARaqW//OUvOnv2bLO/bJ2WlqZgMNhJs+o8Tft8oTyCwaBSU1PD1sfGxiolJSVsTEvPce42zjemO+Te2NiouXPn6pprrtGwYcMkfbY/Ho+n2YcCfzE7t7nU1dXpk08+6ZbH7J49e9SrVy95vV7dc889evXVVzVkyBAy+xKrVq3S//zP/6ikpKTZOrJrWV5enpYvX67169dr6dKlOnTokMaPH68TJ06Q2QW89957Wrp0qa644gpt2LBBs2fP1j//8z/rl7/8paTu+drQZT9iA+gJioqKVF1drbfeequzp9ItDBw4UFVVVTp+/Lj++7//WzNnztSWLVs6e1pd2gcffKDvfe97CgQCio+P7+zpdBtTpkxx/j1ixAjl5eUpOztbL7/8shISEjpxZl1bY2OjxowZo5/85CeSpNGjR6u6ulrLli3TzJkzO3l27nBGqJX69eunmJiYZncN1NTUKD09vZNm1Xma9vlCeaSnp+vo0aNh68+cOaNjx46FjWnpOc7dxvnGdPXc58yZozVr1uiNN97QpZde6ixPT0/X6dOnVVtbGzb+i9m5zcXn8ykhIaFbHrMej0cDBgxQbm6uSkpKNHLkSD399NNkdgGVlZU6evSorrrqKsXGxio2NlZbtmzRM888o9jYWKWlpZFdKyQnJ+vKK6/UO++8w/F2ARkZGRoyZEjYssGDBzuXFbvjawNFqJU8Ho9yc3O1ceNGZ1ljY6M2btwov9/fiTPrHDk5OUpPTw/Lo66uTtu3b3fy8Pv9qq2tVWVlpTNm06ZNamxsVF5enjOmvLxcoVDIGRMIBDRw4ED16dPHGXPudprGdNXcjTGaM2eOXn31VW3atEk5OTlh63NzcxUXFxe2TwcOHNDhw4fDstuzZ0/YL4tAICCfz+f8EvqyXHrCMdvY2KiGhgYyu4CJEydqz549qqqqcr7GjBmjGTNmOP8muy9XX1+vd999VxkZGRxvF3DNNdc0+3Mgf/jDH5SdnS2pm742tOmt1ZZbtWqV8Xq9Zvny5Wbfvn3m7rvvNsnJyWF3DfQkJ06cMLt27TK7du0ykswTTzxhdu3aZf7v//7PGPPZLZLJycnm17/+tdm9e7e58cYbW7xFcvTo0Wb79u3mrbfeMldccUXYLZK1tbUmLS3N3HHHHaa6utqsWrXKJCYmNrtFMjY21jz22GNm//79ZuHChV369vnZs2ebpKQks3nz5rBbc0+dOuWMueeee0z//v3Npk2bzM6dO43f7zd+v99Z33RrbkFBgamqqjLr1683l1xySYu35s6bN8/s37/flJaWtnhrbnc5Zh944AGzZcsWc+jQIbN7927zwAMPmKioKFNWVmaMIbO2OPeuMWPIriX33nuv2bx5szl06JDZunWryc/PN/369TNHjx41xpDZ+ezYscPExsaaf/3XfzUHDx40K1asMImJiea//uu/nDHd7bWBItRGzz77rOnfv7/xeDzm6quvNtu2bevsKbWbN954w0hq9jVz5kxjzGe3Sf7oRz8yaWlpxuv1mokTJ5oDBw6EPcdHH31kbrvtNtOrVy/j8/nMt7/9bXPixImwMb///e/NuHHjjNfrNV/96lfNI4880mwuL7/8srnyyiuNx+MxQ4cONWvXrm23/b5YLWUmybzwwgvOmE8++cT80z/9k+nTp49JTEw0N998szly5EjY87z//vtmypQpJiEhwfTr18/ce++9JhQKhY154403zKhRo4zH4zGXX3552DaadJdj9jvf+Y7Jzs42Ho/HXHLJJWbixIlOCTKGzNrii0WI7Jq79dZbTUZGhvF4POarX/2qufXWW8P+Fg6Znd9vfvMbM2zYMOP1es2gQYPMc889F7a+u702RBljTNvOIQEAAPQMvEcIAABYiyIEAACsRRECAADWoggBAABrUYQAAIC1KEIAAMBaFCEAAGAtihAAALAWRQgAAFiLIgQAAKxFEQIAANaiCAEAAGv9P4tkblQeKhCIAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4826,10 +4840,10 @@
    "execution_count": 54,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:14.781847Z",
-     "iopub.status.busy": "2024-09-05T02:51:14.781379Z",
-     "iopub.status.idle": "2024-09-05T02:51:14.815032Z",
-     "shell.execute_reply": "2024-09-05T02:51:14.814454Z"
+     "iopub.execute_input": "2024-11-05T02:51:15.807616Z",
+     "iopub.status.busy": "2024-11-05T02:51:15.807195Z",
+     "iopub.status.idle": "2024-11-05T02:51:15.850378Z",
+     "shell.execute_reply": "2024-11-05T02:51:15.849880Z"
     }
    },
    "outputs": [
@@ -4862,7 +4876,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>18</th>\n",
+       "      <th>22</th>\n",
        "      <td>349</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -4870,33 +4884,33 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>23</th>\n",
+       "      <td>49.7</td>\n",
+       "      <td>mS/cm</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>49700.0 microsiemens / centimeter</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
        "      <td>8</td>\n",
        "      <td>count</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>36</th>\n",
+       "      <th>44</th>\n",
        "      <td>443</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>443.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>43</th>\n",
+       "      <th>52</th>\n",
        "      <td>67.11703531</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>67.11703531 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>67</th>\n",
-       "      <td>590</td>\n",
-       "      <td>uS/cm</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>590.0 microsiemens / centimeter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
@@ -4904,73 +4918,73 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>310223</th>\n",
-       "      <td>0.431</td>\n",
+       "      <th>404648</th>\n",
+       "      <td>20.579</td>\n",
        "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>431.0 microsiemens / centimeter</td>\n",
+       "      <td>20579.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>310246</th>\n",
-       "      <td>0.321</td>\n",
+       "      <th>404698</th>\n",
+       "      <td>38.432</td>\n",
        "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>321.0 microsiemens / centimeter</td>\n",
+       "      <td>38432.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>310249</th>\n",
-       "      <td>0.364</td>\n",
+       "      <th>404705</th>\n",
+       "      <td>37.791</td>\n",
        "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>364.0 microsiemens / centimeter</td>\n",
+       "      <td>37791.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>310265</th>\n",
-       "      <td>0.246</td>\n",
+       "      <th>404715</th>\n",
+       "      <td>40.652</td>\n",
        "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>246.0 microsiemens / centimeter</td>\n",
+       "      <td>40652.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>310266</th>\n",
-       "      <td>0.607</td>\n",
+       "      <th>404718</th>\n",
+       "      <td>19.003</td>\n",
        "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>607.0 microsiemens / centimeter</td>\n",
+       "      <td>19003.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2679 rows × 4 columns</p>\n",
+       "<p>8743 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "18                    349                         uS/cm     NaN   \n",
-       "23                      8                         count     NaN   \n",
-       "36                    443                         uS/cm     NaN   \n",
-       "43            67.11703531                         uS/cm     NaN   \n",
-       "67                    590                         uS/cm     NaN   \n",
+       "22                    349                         uS/cm     NaN   \n",
+       "23                   49.7                         mS/cm     NaN   \n",
+       "29                      8                         count     NaN   \n",
+       "44                    443                         uS/cm     NaN   \n",
+       "52            67.11703531                         uS/cm     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "310223              0.431                         mS/cm     NaN   \n",
-       "310246              0.321                         mS/cm     NaN   \n",
-       "310249              0.364                         mS/cm     NaN   \n",
-       "310265              0.246                         mS/cm     NaN   \n",
-       "310266              0.607                         mS/cm     NaN   \n",
+       "404648             20.579                         mS/cm     NaN   \n",
+       "404698             38.432                         mS/cm     NaN   \n",
+       "404705             37.791                         mS/cm     NaN   \n",
+       "404715             40.652                         mS/cm     NaN   \n",
+       "404718             19.003                         mS/cm     NaN   \n",
        "\n",
        "                                 Conductivity  \n",
-       "18            349.0 microsiemens / centimeter  \n",
-       "23                                        NaN  \n",
-       "36            443.0 microsiemens / centimeter  \n",
-       "43      67.11703531 microsiemens / centimeter  \n",
-       "67            590.0 microsiemens / centimeter  \n",
+       "22            349.0 microsiemens / centimeter  \n",
+       "23          49700.0 microsiemens / centimeter  \n",
+       "29                                        NaN  \n",
+       "44            443.0 microsiemens / centimeter  \n",
+       "52      67.11703531 microsiemens / centimeter  \n",
        "...                                       ...  \n",
-       "310223        431.0 microsiemens / centimeter  \n",
-       "310246        321.0 microsiemens / centimeter  \n",
-       "310249        364.0 microsiemens / centimeter  \n",
-       "310265        246.0 microsiemens / centimeter  \n",
-       "310266        607.0 microsiemens / centimeter  \n",
+       "404648      20579.0 microsiemens / centimeter  \n",
+       "404698      38432.0 microsiemens / centimeter  \n",
+       "404705      37791.0 microsiemens / centimeter  \n",
+       "404715      40652.0 microsiemens / centimeter  \n",
+       "404718      19003.0 microsiemens / centimeter  \n",
        "\n",
-       "[2679 rows x 4 columns]"
+       "[8743 rows x 4 columns]"
       ]
      },
      "execution_count": 54,
@@ -4995,10 +5009,10 @@
    "execution_count": 55,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:14.817020Z",
-     "iopub.status.busy": "2024-09-05T02:51:14.816849Z",
-     "iopub.status.idle": "2024-09-05T02:51:18.159821Z",
-     "shell.execute_reply": "2024-09-05T02:51:18.159133Z"
+     "iopub.execute_input": "2024-11-05T02:51:15.852279Z",
+     "iopub.status.busy": "2024-11-05T02:51:15.851922Z",
+     "iopub.status.idle": "2024-11-05T02:51:19.264717Z",
+     "shell.execute_reply": "2024-11-05T02:51:19.264071Z"
     }
    },
    "outputs": [
@@ -5006,9 +5020,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n",
       "  warn(\"WARNING: \" + problem)\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ppb' UNDEFINED UNIT for Chlorophyll\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/m3' UNDEFINED UNIT for Chlorophyll\n",
       "  warn(\"WARNING: \" + problem)\n"
      ]
     },
@@ -5016,7 +5030,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/m3' UNDEFINED UNIT for Chlorophyll\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ppb' UNDEFINED UNIT for Chlorophyll\n",
       "  warn(\"WARNING: \" + problem)\n"
      ]
     },
@@ -5025,9 +5039,9 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    4156.000000\n",
-      "mean        0.583832\n",
-      "std         3.286460\n",
+      "count    4171.000000\n",
+      "mean        0.581802\n",
+      "std         3.280718\n",
       "min        -0.002400\n",
       "25%         0.001900\n",
       "50%         0.005200\n",
@@ -5036,12 +5050,12 @@
       "dtype: float64\n",
       "Unusable results: 202\n",
       "Usable results with inferred units: 9\n",
-      "Results outside threshold (0.0 to 20.302593411738652): 29\n"
+      "Results outside threshold (0.0 to 20.266111880769866): 29\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -5060,10 +5074,10 @@
    "execution_count": 56,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:18.161989Z",
-     "iopub.status.busy": "2024-09-05T02:51:18.161791Z",
-     "iopub.status.idle": "2024-09-05T02:51:18.198418Z",
-     "shell.execute_reply": "2024-09-05T02:51:18.197907Z"
+     "iopub.execute_input": "2024-11-05T02:51:19.266709Z",
+     "iopub.status.busy": "2024-11-05T02:51:19.266535Z",
+     "iopub.status.idle": "2024-11-05T02:51:19.304205Z",
+     "shell.execute_reply": "2024-11-05T02:51:19.303694Z"
     }
    },
    "outputs": [
@@ -5096,35 +5110,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>4</th>\n",
        "      <td>4.0</td>\n",
        "      <td>mg/m3</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.004000000000000001 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>181</th>\n",
+       "      <th>215</th>\n",
        "      <td>5.50</td>\n",
        "      <td>ug/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0055 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>342</th>\n",
+       "      <th>406</th>\n",
        "      <td>9.48</td>\n",
        "      <td>ug/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.00948 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>584</th>\n",
+       "      <th>703</th>\n",
        "      <td>3.0</td>\n",
        "      <td>mg/m3</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.003000000000000001 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>778</th>\n",
+       "      <th>937</th>\n",
        "      <td>NaN</td>\n",
        "      <td>mg/m3</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
@@ -5138,35 +5152,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416312</th>\n",
+       "      <th>456710</th>\n",
        "      <td>0.5</td>\n",
        "      <td>ug/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0005 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416319</th>\n",
+       "      <th>456717</th>\n",
        "      <td>2.5</td>\n",
        "      <td>ug/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0025 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416332</th>\n",
+       "      <th>456730</th>\n",
        "      <td>0.7</td>\n",
        "      <td>ug/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0007 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416365</th>\n",
+       "      <th>456763</th>\n",
        "      <td>1.1</td>\n",
        "      <td>ug/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0011 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416420</th>\n",
+       "      <th>456818</th>\n",
        "      <td>0.7</td>\n",
        "      <td>ug/l</td>\n",
        "      <td>NaN</td>\n",
@@ -5174,50 +5188,50 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>4358 rows × 4 columns</p>\n",
+       "<p>4373 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode  \\\n",
-       "2                     4.0                         mg/m3   \n",
-       "181                  5.50                          ug/L   \n",
-       "342                  9.48                          ug/L   \n",
-       "584                   3.0                         mg/m3   \n",
-       "778                   NaN                         mg/m3   \n",
+       "4                     4.0                         mg/m3   \n",
+       "215                  5.50                          ug/L   \n",
+       "406                  9.48                          ug/L   \n",
+       "703                   3.0                         mg/m3   \n",
+       "937                   NaN                         mg/m3   \n",
        "...                   ...                           ...   \n",
-       "416312                0.5                          ug/l   \n",
-       "416319                2.5                          ug/l   \n",
-       "416332                0.7                          ug/l   \n",
-       "416365                1.1                          ug/l   \n",
-       "416420                0.7                          ug/l   \n",
+       "456710                0.5                          ug/l   \n",
+       "456717                2.5                          ug/l   \n",
+       "456730                0.7                          ug/l   \n",
+       "456763                1.1                          ug/l   \n",
+       "456818                0.7                          ug/l   \n",
        "\n",
        "                                         QA_flag  \\\n",
-       "2                                            NaN   \n",
-       "181                                          NaN   \n",
-       "342                                          NaN   \n",
-       "584                                          NaN   \n",
-       "778     ResultMeasureValue: missing (NaN) result   \n",
+       "4                                            NaN   \n",
+       "215                                          NaN   \n",
+       "406                                          NaN   \n",
+       "703                                          NaN   \n",
+       "937     ResultMeasureValue: missing (NaN) result   \n",
        "...                                          ...   \n",
-       "416312                                       NaN   \n",
-       "416319                                       NaN   \n",
-       "416332                                       NaN   \n",
-       "416365                                       NaN   \n",
-       "416420                                       NaN   \n",
+       "456710                                       NaN   \n",
+       "456717                                       NaN   \n",
+       "456730                                       NaN   \n",
+       "456763                                       NaN   \n",
+       "456818                                       NaN   \n",
        "\n",
        "                                   Chlorophyll  \n",
-       "2       0.004000000000000001 milligram / liter  \n",
-       "181                   0.0055 milligram / liter  \n",
-       "342                  0.00948 milligram / liter  \n",
-       "584     0.003000000000000001 milligram / liter  \n",
-       "778                                        NaN  \n",
+       "4       0.004000000000000001 milligram / liter  \n",
+       "215                   0.0055 milligram / liter  \n",
+       "406                  0.00948 milligram / liter  \n",
+       "703     0.003000000000000001 milligram / liter  \n",
+       "937                                        NaN  \n",
        "...                                        ...  \n",
-       "416312                0.0005 milligram / liter  \n",
-       "416319                0.0025 milligram / liter  \n",
-       "416332                0.0007 milligram / liter  \n",
-       "416365                0.0011 milligram / liter  \n",
-       "416420                0.0007 milligram / liter  \n",
+       "456710                0.0005 milligram / liter  \n",
+       "456717                0.0025 milligram / liter  \n",
+       "456730                0.0007 milligram / liter  \n",
+       "456763                0.0011 milligram / liter  \n",
+       "456818                0.0007 milligram / liter  \n",
        "\n",
-       "[4358 rows x 4 columns]"
+       "[4373 rows x 4 columns]"
       ]
      },
      "execution_count": 56,
@@ -5242,10 +5256,10 @@
    "execution_count": 57,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:18.200677Z",
-     "iopub.status.busy": "2024-09-05T02:51:18.200341Z",
-     "iopub.status.idle": "2024-09-05T02:51:20.635911Z",
-     "shell.execute_reply": "2024-09-05T02:51:20.635336Z"
+     "iopub.execute_input": "2024-11-05T02:51:19.306089Z",
+     "iopub.status.busy": "2024-11-05T02:51:19.305748Z",
+     "iopub.status.idle": "2024-11-05T02:51:21.963180Z",
+     "shell.execute_reply": "2024-11-05T02:51:21.962643Z"
     }
    },
    "outputs": [
@@ -5254,23 +5268,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count      6126.000000\n",
-      "mean       5300.199057\n",
-      "std       35634.927260\n",
+      "count      6141.000000\n",
+      "mean       5287.284256\n",
+      "std       35592.329726\n",
       "min      -90000.000000\n",
-      "25%           1.720000\n",
+      "25%           1.740000\n",
       "50%           4.900000\n",
       "75%           8.900000\n",
       "max      530000.000000\n",
       "dtype: float64\n",
       "Unusable results: 79\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 219109.7626196926): 40\n"
+      "Results outside threshold (0.0 to 218841.26261451485): 40\n"
      ]
     },
     {
      "data": {
-      "image/png": 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oSZoxY4befvttrVmzRtu2bdPRo0c1btw4Z/v6+nrl5OSorq5OO3fu1EsvvaTCwkLNnTvXGXPkyBHl5OTolltuUVlZmaZPn64HH3xQGzdubKXIAAAg3HQMZfDtt98e9Pi3v/2tli1bpl27dqlXr15asWKFVq1apdGjR0uSVq5cqQEDBmjXrl0aMWKENm3apEOHDmnz5s1KSkrS0KFDtXDhQs2ePVvz5s1TdHS0li9frrS0ND3xxBOSpAEDBmjHjh1aunSpsrOzWyk2AAAIJyEVmnPV19drzZo1+vrrr+XxeFRaWiq/36/MzExnTP/+/dWnTx+VlJRoxIgRKikp0aBBg5SUlOSMyc7O1tSpU3Xw4EHdcMMNKikpCdpHYMz06dMvOh+fzyefz+c89nq9kiS/3y+/39/SmI0E9uWKNBdcZ7tAjnDJcz7y2S/cM4Z7Pin8M5Lv8vcdqpALzf79++XxeHTmzBl17txZb7zxhgYOHKiysjJFR0crISEhaHxSUpIqKyslSZWVlUFlJrA+sO5iY7xer06fPq3Y2Ngm57Vo0SLNnz+/0fJNmzYpLi4u1JiXtHB4Q6Nl69evb/XjtKWioqK2nsIVRT77hXvGcM8nhX9G8oXu1KlTLdou5ELTr18/lZWVqba2Vv/93/+tSZMmadu2bS06eGvKz89XXl6e89jr9ap3797KysqS2+1uteP4/X4VFRXp13sj5WuICFp3YF54vCUWyDhmzBhFRUW19XRaHfnsF+4Zwz2fFP4ZyddygXdYQhVyoYmOjlbfvn0lSenp6Xr//ff19NNP6+6771ZdXZ1qamqCrtJUVVUpOTlZkpScnKw9e/YE7S9wF9S5Y86/M6qqqkput/uCV2ckyeVyyeVyNVoeFRV1RV5MvoYI+eqDC024vWiv1HPXXpDPfuGeMdzzSeGfkXwt22dLXPbvoWloaJDP51N6erqioqK0ZcsWZ115ebkqKirk8XgkSR6PR/v371d1dbUzpqioSG63WwMHDnTGnLuPwJjAPgAAAM4X0hWa/Px8jR07Vn369NGJEye0atUqFRcXa+PGjYqPj9fkyZOVl5enbt26ye1265FHHpHH49GIESMkSVlZWRo4cKAmTpyoJUuWqLKyUnPmzFFubq5zdWXKlCl69tlnNWvWLD3wwAPaunWrVq9erXXr1rV+egAAEBZCKjTV1dW67777dOzYMcXHx2vw4MHauHGjxowZI0launSpIiMjNX78ePl8PmVnZ+u5555ztu/QoYPWrl2rqVOnyuPxqFOnTpo0aZIWLFjgjElLS9O6des0Y8YMPf300+rVq5deeOEFbtkGAAAXFFKhWbFixUXXx8TEqKCgQAUFBRcck5qaesm7gUaNGqV9+/aFMjUAAPAtxt9yAgAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgvZAKzaJFi/T9739fXbp0UWJiou68806Vl5cHjTlz5oxyc3PVvXt3de7cWePHj1dVVVXQmIqKCuXk5CguLk6JiYmaOXOmzp49GzSmuLhYw4YNk8vlUt++fVVYWNiyhAAAIOyFVGi2bdum3Nxc7dq1S0VFRfL7/crKytLXX3/tjJkxY4befvttrVmzRtu2bdPRo0c1btw4Z319fb1ycnJUV1ennTt36qWXXlJhYaHmzp3rjDly5IhycnJ0yy23qKysTNOnT9eDDz6ojRs3tkJkAAAQbjqGMnjDhg1BjwsLC5WYmKjS0lKNHDlStbW1WrFihVatWqXRo0dLklauXKkBAwZo165dGjFihDZt2qRDhw5p8+bNSkpK0tChQ7Vw4ULNnj1b8+bNU3R0tJYvX660tDQ98cQTkqQBAwZox44dWrp0qbKzs1spOgAACBchFZrz1dbWSpK6desmSSotLZXf71dmZqYzpn///urTp49KSko0YsQIlZSUaNCgQUpKSnLGZGdna+rUqTp48KBuuOEGlZSUBO0jMGb69OkXnIvP55PP53Mee71eSZLf75ff77+cmEEC+3JFmguus10gR7jkOR/57BfuGcM9nxT+Gcl3+fsOVYsLTUNDg6ZPn64f/OAHuv766yVJlZWVio6OVkJCQtDYpKQkVVZWOmPOLTOB9YF1Fxvj9Xp1+vRpxcbGNprPokWLNH/+/EbLN23apLi4uJaFvIiFwxsaLVu/fn2rH6ctFRUVtfUUrijy2S/cM4Z7Pin8M5IvdKdOnWrRdi0uNLm5uTpw4IB27NjR0l20qvz8fOXl5TmPvV6vevfuraysLLnd7lY7jt/vV1FRkX69N1K+hoigdQfmhcfbYYGMY8aMUVRUVFtPp9WRz37hnjHc80nhn5F8LRd4hyVULSo006ZN09q1a7V9+3b16tXLWZ6cnKy6ujrV1NQEXaWpqqpScnKyM2bPnj1B+wvcBXXumPPvjKqqqpLb7W7y6owkuVwuuVyuRsujoqKuyIvJ1xAhX31woQm3F+2Veu7aC/LZL9wzhns+Kfwzkq9l+2yJkO5yMsZo2rRpeuONN7R161alpaUFrU9PT1dUVJS2bNniLCsvL1dFRYU8Ho8kyePxaP/+/aqurnbGFBUVye12a+DAgc6Yc/cRGBPYBwAAwLlCukKTm5urVatW6a233lKXLl2cz7zEx8crNjZW8fHxmjx5svLy8tStWze53W498sgj8ng8GjFihCQpKytLAwcO1MSJE7VkyRJVVlZqzpw5ys3Nda6wTJkyRc8++6xmzZqlBx54QFu3btXq1au1bt26Vo4PAADCQUhXaJYtW6ba2lqNGjVKPXv2dL5ee+01Z8zSpUv193//9xo/frxGjhyp5ORkvf766876Dh06aO3aterQoYM8Ho/+8R//Uffdd58WLFjgjElLS9O6detUVFSkIUOG6IknntALL7zALdsAAKBJIV2hMabxrcrni4mJUUFBgQoKCi44JjU19ZJ3BI0aNUr79u0LZXoAAOBbir/lBAAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAeiEXmu3bt+v2229XSkqKIiIi9OabbwatN8Zo7ty56tmzp2JjY5WZmalPPvkkaMzx48c1YcIEud1uJSQkaPLkyTp58mTQmA8//FA333yzYmJi1Lt3by1ZsiT0dAAA4Fsh5ELz9ddfa8iQISooKGhy/ZIlS/T73/9ey5cv1+7du9WpUydlZ2frzJkzzpgJEybo4MGDKioq0tq1a7V9+3Y9/PDDznqv16usrCylpqaqtLRUjz/+uObNm6f/+I//aEFEAAAQ7jqGusHYsWM1duzYJtcZY/TUU09pzpw5uuOOOyRJ//Vf/6WkpCS9+eabuueee/TRRx9pw4YNev/99zV8+HBJ0jPPPKMf/ehH+t3vfqeUlBS98sorqqur04svvqjo6Ghdd911Kisr05NPPhlUfAAAAKQWFJqLOXLkiCorK5WZmeksi4+PV0ZGhkpKSnTPPfeopKRECQkJTpmRpMzMTEVGRmr37t266667VFJSopEjRyo6OtoZk52drX//93/XV199pa5duzY6ts/nk8/ncx57vV5Jkt/vl9/vb7WMgX25Is0F19kukCNc8pyPfPYL94zhnk8K/4zku/x9h6pVC01lZaUkKSkpKWh5UlKSs66yslKJiYnBk+jYUd26dQsak5aW1mgfgXVNFZpFixZp/vz5jZZv2rRJcXFxLUx0YQuHNzRatn79+lY/TlsqKipq6ylcUeSzX7hnDPd8UvhnJF/oTp061aLtWrXQtKX8/Hzl5eU5j71er3r37q2srCy53e5WO47f71dRUZF+vTdSvoaIoHUH5mW32nHaUiDjmDFjFBUV1dbTaXXks1+4Zwz3fFL4ZyRfywXeYQlVqxaa5ORkSVJVVZV69uzpLK+qqtLQoUOdMdXV1UHbnT17VsePH3e2T05OVlVVVdCYwOPAmPO5XC65XK5Gy6Oioq7Ii8nXECFffXChCbcX7ZV67toL8tkv3DOGez4p/DOSr2X7bIlW/T00aWlpSk5O1pYtW5xlXq9Xu3fvlsfjkSR5PB7V1NSotLTUGbN161Y1NDQoIyPDGbN9+/ag99GKiorUr1+/Jt9uAgAA324hF5qTJ0+qrKxMZWVlkv72QeCysjJVVFQoIiJC06dP129+8xv9z//8j/bv36/77rtPKSkpuvPOOyVJAwYM0G233aaHHnpIe/bs0Xvvvadp06bpnnvuUUpKiiTppz/9qaKjozV58mQdPHhQr732mp5++umgt5QAAAACQn7Lae/evbrlllucx4GSMWnSJBUWFmrWrFn6+uuv9fDDD6umpkY33XSTNmzYoJiYGGebV155RdOmTdOtt96qyMhIjR8/Xr///e+d9fHx8dq0aZNyc3OVnp6uHj16aO7cudyyDQAAmhRyoRk1apSMaXzLckBERIQWLFigBQsWXHBMt27dtGrVqoseZ/DgwXr33XdDnR4AAPgW4m85AQAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgvY5tPYFw8t1frWty+WeLc77hmQAA8O3SrgtNQUGBHn/8cVVWVmrIkCF65plndOONN7b1tFoNBQgAgNbRbgvNa6+9pry8PC1fvlwZGRl66qmnlJ2drfLyciUmJrb19EJyoeISynhKDgAAF9ZuC82TTz6phx56SPfff78kafny5Vq3bp1efPFF/epXv2rj2bUfXOUBAKCdFpq6ujqVlpYqPz/fWRYZGanMzEyVlJQ0uY3P55PP53Me19bWSpKOHz8uv9/fanPz+/06deqUOvojVd8Q0Wr7vZS+v1zd5PILncALjW8OV6TRnBsaNPRfX5fvG8woSbvzb73ixwicwy+//FJRUVFX/HjftHDPJ4V/xnDPJ4V/RvK13IkTJyRJxpiQtmuXheavf/2r6uvrlZSUFLQ8KSlJH3/8cZPbLFq0SPPnz2+0PC0t7YrMMdz9tI2O2+OJNjowAKBdOXHihOLj45s9vl0WmpbIz89XXl6e87ihoUHHjx9X9+7dFRHRelcZvF6vevfurS+++EJut7vV9tuehHtG8tkv3DOGez4p/DOSr+WMMTpx4oRSUlJC2q5dFpoePXqoQ4cOqqqqClpeVVWl5OTkJrdxuVxyuVxByxISEq7UFOV2u8PyRXqucM9IPvuFe8ZwzyeFf0bytUwoV2YC2uUv1ouOjlZ6erq2bNniLGtoaNCWLVvk8XjacGYAAKA9apdXaCQpLy9PkyZN0vDhw3XjjTfqqaee0tdff+3c9QQAABDQbgvN3Xffrb/85S+aO3euKisrNXToUG3YsKHRB4W/aS6XS4899lijt7fCSbhnJJ/9wj1juOeTwj8j+b55ESbU+6IAAADamXb5GRoAAIBQUGgAAID1KDQAAMB6FBoAAGA9Ck2ICgoK9N3vflcxMTHKyMjQnj172npKWrRokb7//e+rS5cuSkxM1J133qny8vKgMaNGjVJERETQ15QpU4LGVFRUKCcnR3FxcUpMTNTMmTN19uzZoDHFxcUaNmyYXC6X+vbtq8LCwkbzae3naN68eY3m3r9/f2f9mTNnlJubq+7du6tz584aP358o1/K2F6zBXz3u99tlDEiIkK5ubmS7Dt/27dv1+23366UlBRFRETozTffDFpvjNHcuXPVs2dPxcbGKjMzU5988knQmOPHj2vChAlyu91KSEjQ5MmTdfLkyaAxH374oW6++WbFxMSod+/eWrJkSaO5rFmzRv3791dMTIwGDRqk9evXhzyXUPL5/X7Nnj1bgwYNUqdOnZSSkqL77rtPR48eDdpHU+d88eLF7SLfpTJK0s9+9rNG87/tttuCxth6DiU1+f8xIiJCjz/+uDOmPZ/D5vxcaE/fO5szl0syaLZXX33VREdHmxdffNEcPHjQPPTQQyYhIcFUVVW16byys7PNypUrzYEDB0xZWZn50Y9+ZPr06WNOnjzpjPnhD39oHnroIXPs2DHnq7a21ll/9uxZc/3115vMzEyzb98+s379etOjRw+Tn5/vjPnTn/5k4uLiTF5enjl06JB55plnTIcOHcyGDRucMVfiOXrsscfMddddFzT3v/zlL876KVOmmN69e5stW7aYvXv3mhEjRpi/+7u/syJbQHV1dVC+oqIiI8m88847xhj7zt/69evNv/7rv5rXX3/dSDJvvPFG0PrFixeb+Ph48+abb5oPPvjA/PjHPzZpaWnm9OnTzpjbbrvNDBkyxOzatcu8++67pm/fvubee+911tfW1pqkpCQzYcIEc+DAAfOHP/zBxMbGmueff94Z895775kOHTqYJUuWmEOHDpk5c+aYqKgos3///pDmEkq+mpoak5mZaV577TXz8ccfm5KSEnPjjTea9PT0oH2kpqaaBQsWBJ3Tc//PtmW+S2U0xphJkyaZ2267LWj+x48fDxpj6zk0xgTlOnbsmHnxxRdNRESEOXz4sDOmPZ/D5vxcaE/fOy81l+ag0ITgxhtvNLm5uc7j+vp6k5KSYhYtWtSGs2qsurraSDLbtm1zlv3whz80jz766AW3Wb9+vYmMjDSVlZXOsmXLlhm32218Pp8xxphZs2aZ6667Lmi7u+++22RnZzuPr8Rz9Nhjj5khQ4Y0ua6mpsZERUWZNWvWOMs++ugjI8mUlJS0+2wX8uijj5prrrnGNDQ0GGPsPn/n/7BoaGgwycnJ5vHHH3eW1dTUGJfLZf7whz8YY4w5dOiQkWTef/99Z8wf//hHExERYf7v//7PGGPMc889Z7p27erkM8aY2bNnm379+jmPf/KTn5icnJyg+WRkZJif//znzZ5LqPmasmfPHiPJfP75586y1NRUs3Tp0gtu017yGdN0xkmTJpk77rjjgtuE2zm84447zOjRo4OW2XQOz/+50J6+dzZnLs3BW07NVFdXp9LSUmVmZjrLIiMjlZmZqZKSkjacWWO1tbWSpG7dugUtf+WVV9SjRw9df/31ys/P16lTp5x1JSUlGjRoUNAvLszOzpbX69XBgwedMefmD4wJ5L+Sz9Enn3yilJQUXX311ZowYYIqKiokSaWlpfL7/UHH7N+/v/r06eMcs71nO19dXZ1efvllPfDAA0F/WNXm83euI0eOqLKyMug48fHxysjICDpnCQkJGj58uDMmMzNTkZGR2r17tzNm5MiRio6ODspTXl6ur776qlmZmzOX1lBbW6uIiIhGf19u8eLF6t69u2644QY9/vjjQZfybchXXFysxMRE9evXT1OnTtWXX34ZNP9wOYdVVVVat26dJk+e3GidLefw/J8L7el7Z3Pm0hzt9jcFtzd//etfVV9f3+g3FSclJenjjz9uo1k11tDQoOnTp+sHP/iBrr/+emf5T3/6U6WmpiolJUUffvihZs+erfLycr3++uuSpMrKyiazBdZdbIzX69Xp06f11VdfXZHnKCMjQ4WFherXr5+OHTum+fPn6+abb9aBAwdUWVmp6OjoRj8okpKSLjnv9pCtKW+++aZqamr0s5/9zFlm8/k7X2A+TR3n3LkmJiYGre/YsaO6desWNCYtLa3RPgLrunbtesHM5+7jUnO5XGfOnNHs2bN17733Bv0Rv3/+53/WsGHD1K1bN+3cuVP5+fk6duyYnnzySSvy3XbbbRo3bpzS0tJ0+PBh/cu//IvGjh2rkpISdejQIazO4UsvvaQuXbpo3LhxQcttOYdN/VxoT987mzOX5qDQhJnc3FwdOHBAO3bsCFr+8MMPO/8eNGiQevbsqVtvvVWHDx/WNddc801PMyRjx451/j148GBlZGQoNTVVq1evVmxsbBvO7MpYsWKFxo4dq5SUFGeZzefv28zv9+snP/mJjDFatmxZ0Lq8vDzn34MHD1Z0dLR+/vOfa9GiRe3q18lfyD333OP8e9CgQRo8eLCuueYaFRcX69Zbb23DmbW+F198URMmTFBMTEzQclvO4YV+LoQb3nJqph49eqhDhw6NPnVdVVWl5OTkNppVsGnTpmnt2rV655131KtXr4uOzcjIkCR9+umnkqTk5OQmswXWXWyM2+1WbGzsN/YcJSQk6Nprr9Wnn36q5ORk1dXVqaam5oLHtCnb559/rs2bN+vBBx+86Dibz19gXxc7TnJysqqrq4PWnz17VsePH2+V83ru+kvNpaUCZebzzz9XUVFR0NWZpmRkZOjs2bP67LPPLjr3c+fdlvnOd/XVV6tHjx5Br0nbz6EkvfvuuyovL7/k/0mpfZ7DC/1caE/fO5szl+ag0DRTdHS00tPTtWXLFmdZQ0ODtmzZIo/H04Yz+9stfdOmTdMbb7yhrVu3NrrE2ZSysjJJUs+ePSVJHo9H+/fvD/oGFPgmPHDgQGfMufkDYwL5v6nn6OTJkzp8+LB69uyp9PR0RUVFBR2zvLxcFRUVzjFtyrZy5UolJiYqJyfnouNsPn9paWlKTk4OOo7X69Xu3buDzllNTY1KS0udMVu3blVDQ4NT5jwej7Zv3y6/3x+Up1+/furatWuzMjdnLi0RKDOffPKJNm/erO7du19ym7KyMkVGRjpv07TnfE3585//rC+//DLoNWnzOQxYsWKF0tPTNWTIkEuObU/n8FI/F9rT987mzKVZmv3xYZhXX33VuFwuU1hYaA4dOmQefvhhk5CQEPQJ8LYwdepUEx8fb4qLi4NuHzx16pQxxphPP/3ULFiwwOzdu9ccOXLEvPXWW+bqq682I0eOdPYRuD0vKyvLlJWVmQ0bNpirrrqqydvzZs6caT766CNTUFDQ5O15rf0c/eIXvzDFxcXmyJEj5r333jOZmZmmR48eprq62hjzt9v9+vTpY7Zu3Wr27t1rPB6P8Xg8VmQ7V319venTp4+ZPXt20HIbz9+JEyfMvn37zL59+4wk8+STT5p9+/Y5d/ksXrzYJCQkmLfeest8+OGH5o477mjytu0bbrjB7N692+zYscN873vfC7rlt6amxiQlJZmJEyeaAwcOmFdffdXExcU1uiW2Y8eO5ne/+5356KOPzGOPPdbkLbGXmkso+erq6syPf/xj06tXL1NWVhb0fzJwZ8jOnTvN0qVLTVlZmTl8+LB5+eWXzVVXXWXuu+++dpHvUhlPnDhhfvnLX5qSkhJz5MgRs3nzZjNs2DDzve99z5w5c8b6cxhQW1tr4uLizLJlyxpt397P4aV+LhjTvr53XmouzUGhCdEzzzxj+vTpY6Kjo82NN95odu3a1dZTMpKa/Fq5cqUxxpiKigozcuRI061bN+NyuUzfvn3NzJkzg36PiTHGfPbZZ2bs2LEmNjbW9OjRw/ziF78wfr8/aMw777xjhg4daqKjo83VV1/tHONcrf0c3X333aZnz54mOjrafOc73zF33323+fTTT531p0+fNv/0T/9kunbtauLi4sxdd91ljh07ZkW2c23cuNFIMuXl5UHLbTx/77zzTpOvyUmTJhlj/nYr6q9//WuTlJRkXC6XufXWWxvl/vLLL829995rOnfubNxut7n//vvNiRMngsZ88MEH5qabbjIul8t85zvfMYsXL240l9WrV5trr73WREdHm+uuu86sW7cuaH1z5hJKviNHjlzw/2Tg9wqVlpaajIwMEx8fb2JiYsyAAQPMv/3bvwWVgbbMd6mMp06dMllZWeaqq64yUVFRJjU11Tz00EONiq+t5zDg+eefN7GxsaampqbR9u39HF7q54Ix7et7Z3PmcikR/z84AACAtfgMDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADW+38mZZW1rGOvYgAAAABJRU5ErkJggg==",
+      "image/png": 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HDhyQJE2fPl1vv/22Vq1apa1bt+rIkSMaP368s39DQ4NycnJUX1+vHTt26KWXXlJxcbHmzJnjzDl8+LBycnJ08803q7y8XHl5eXrwwQe1fv36NooMAABCTedgJt92220Bj//1X/9VS5Ys0c6dO9WnTx8tW7ZMK1as0JgxYyRJy5cv18CBA7Vz505lZGRow4YNOnjwoDZu3KiEhAQNGzZMCxYs0KxZszR37lxFRkZq6dKlSk1N1RNPPCFJGjhwoLZv367FixcrOzu7jWIDAIBQElShOVdDQ4NWrVqlr7/+Wh6PR2VlZfL5fMrMzHTmDBgwQMnJySotLVVGRoZKS0s1ePBgJSQkOHOys7M1depUHThwQMOHD1dpaWnAMfxz8vLyLroer9crr9frPK6rq5Mk+Xw++Xy+1sZswn8sV7i54Jjt/DlCJc/5yGe/UM8Y6vmk0M9Ivss/drCCLjT79u2Tx+PRmTNn1LVrV73xxhsaNGiQysvLFRkZqbi4uID5CQkJqqqqkiRVVVUFlBn/uH/sYnPq6up0+vRpRUdHN7uuwsJCzZs3r8n2DRs2KCYmJtiYl7RgZGOTbWvXrm3z87SnkpKS9l7CFUU++4V6xlDPJ4V+RvIF79SpU63aL+hC079/f5WXl6u2tlb//d//rUmTJmnr1q2tOnlbKigoUH5+vvO4rq5Offv2VVZWltxud5udx+fzqaSkRL/ZEy5vY1jA2P65ofGWmD/j2LFjFRER0d7LaXPks1+oZwz1fFLoZyRf6/nfYQlW0IUmMjJS/fr1kySlpaXp/fff19NPP6277rpL9fX1qqmpCXiVprq6WomJiZKkxMRE7d69O+B4/rugzp1z/p1R1dXVcrvdF3x1RpJcLpdcLleT7REREVfkk8nbGCZvQ2ChCbVP2iv13HUU5LNfqGcM9XxS6GckX+uO2RqX/XtoGhsb5fV6lZaWpoiICG3atMkZq6ioUGVlpTwejyTJ4/Fo3759OnbsmDOnpKREbrdbgwYNcuacewz/HP8xAAAAzhfUKzQFBQUaN26ckpOTdeLECa1YsUJbtmzR+vXrFRsbq8mTJys/P189evSQ2+3WI488Io/Ho4yMDElSVlaWBg0apHvvvVeLFi1SVVWVZs+erdzcXOfVlSlTpujZZ5/VzJkz9cADD2jz5s1auXKl1qxZ0/bpAQBASAiq0Bw7dkz33Xefjh49qtjYWA0ZMkTr16/X2LFjJUmLFy9WeHi4JkyYIK/Xq+zsbD333HPO/p06ddLq1as1depUeTwedenSRZMmTdL8+fOdOampqVqzZo2mT5+up59+Wn369NELL7zALdsAAOCCgio0y5Ytu+h4VFSUioqKVFRUdME5KSkpl7wbaPTo0dq7d28wSwMAAN9i/C0nAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWC6rQFBYW6vvf/766deum+Ph43XHHHaqoqAiYc+bMGeXm5qpnz57q2rWrJkyYoOrq6oA5lZWVysnJUUxMjOLj4zVjxgydPXs2YM6WLVs0YsQIuVwu9evXT8XFxa1LCAAAQl5QhWbr1q3Kzc3Vzp07VVJSIp/Pp6ysLH399dfOnOnTp+vtt9/WqlWrtHXrVh05ckTjx493xhsaGpSTk6P6+nrt2LFDL730koqLizVnzhxnzuHDh5WTk6Obb75Z5eXlysvL04MPPqj169e3QWQAABBqOgczed26dQGPi4uLFR8fr7KyMo0aNUq1tbVatmyZVqxYoTFjxkiSli9froEDB2rnzp3KyMjQhg0bdPDgQW3cuFEJCQkaNmyYFixYoFmzZmnu3LmKjIzU0qVLlZqaqieeeEKSNHDgQG3fvl2LFy9WdnZ2G0UHAAChIqhCc77a2lpJUo8ePSRJZWVl8vl8yszMdOYMGDBAycnJKi0tVUZGhkpLSzV48GAlJCQ4c7KzszV16lQdOHBAw4cPV2lpacAx/HPy8vIuuBav1yuv1+s8rqurkyT5fD75fL7LiRnAfyxXuLngmO38OUIlz/nIZ79Qzxjq+aTQz0i+yz92sFpdaBobG5WXl6cf/OAHuv766yVJVVVVioyMVFxcXMDchIQEVVVVOXPOLTP+cf/YxebU1dXp9OnTio6ObrKewsJCzZs3r8n2DRs2KCYmpnUhL2LByMYm29auXdvm52lPJSUl7b2EK4p89gv1jKGeTwr9jOQL3qlTp1q1X6sLTW5urvbv36/t27e39hBtqqCgQPn5+c7juro69e3bV1lZWXK73W12Hp/Pp5KSEv1mT7i8jWEBY/vnhsbbYf6MY8eOVURERHsvp82Rz36hnjHU80mhn5F8red/hyVYrSo006ZN0+rVq7Vt2zb16dPH2Z6YmKj6+nrV1NQEvEpTXV2txMREZ87u3bsDjue/C+rcOeffGVVdXS23293sqzOS5HK55HK5mmyPiIi4Ip9M3sYweRsCC02ofdJeqeeuoyCf/UI9Y6jnk0I/I/lad8zWCOouJ2OMpk2bpjfeeEObN29WampqwHhaWpoiIiK0adMmZ1tFRYUqKyvl8XgkSR6PR/v27dOxY8ecOSUlJXK73Ro0aJAz59xj+Of4jwEAAHCuoF6hyc3N1YoVK/TWW2+pW7duzs+8xMbGKjo6WrGxsZo8ebLy8/PVo0cPud1uPfLII/J4PMrIyJAkZWVladCgQbr33nu1aNEiVVVVafbs2crNzXVeYZkyZYqeffZZzZw5Uw888IA2b96slStXas2aNW0cHwAAhIKgXqFZsmSJamtrNXr0aPXu3dv5eO2115w5ixcv1t///d9rwoQJGjVqlBITE/X666874506ddLq1avVqVMneTwe/eM//qPuu+8+zZ8/35mTmpqqNWvWqKSkREOHDtUTTzyhF154gVu2AQBAs4J6hcaYprcqny8qKkpFRUUqKiq64JyUlJRL3hE0evRo7d27N5jlAQCAbyn+lhMAALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOsFXWi2bdum2267TUlJSQoLC9Obb74ZMG6M0Zw5c9S7d29FR0crMzNTn3zyScCc48ePa+LEiXK73YqLi9PkyZN18uTJgDkffvihbrrpJkVFRalv375atGhR8OkAAMC3QtCF5uuvv9bQoUNVVFTU7PiiRYv0+9//XkuXLtWuXbvUpUsXZWdn68yZM86ciRMn6sCBAyopKdHq1au1bds2Pfzww854XV2dsrKylJKSorKyMj3++OOaO3eu/uM//qMVEQEAQKjrHOwO48aN07hx45odM8boqaee0uzZs3X77bdLkv7rv/5LCQkJevPNN3X33Xfro48+0rp16/T+++9r5MiRkqRnnnlGP/rRj/S73/1OSUlJeuWVV1RfX68XX3xRkZGRuu6661ReXq4nn3wyoPgAAABIrSg0F3P48GFVVVUpMzPT2RYbG6v09HSVlpbq7rvvVmlpqeLi4pwyI0mZmZkKDw/Xrl27dOedd6q0tFSjRo1SZGSkMyc7O1v//u//rq+++krdu3dvcm6v1yuv1+s8rqurkyT5fD75fL42y+g/livcXHDMdv4coZLnfOSzX6hnDPV8UuhnJN/lHztYbVpoqqqqJEkJCQkB2xMSEpyxqqoqxcfHBy6ic2f16NEjYE5qamqTY/jHmis0hYWFmjdvXpPtGzZsUExMTCsTXdiCkY1Ntq1du7bNz9OeSkpK2nsJVxT57BfqGUM9nxT6GckXvFOnTrVqvzYtNO2poKBA+fn5zuO6ujr17dtXWVlZcrvdbXYen8+nkpIS/WZPuLyNYQFj++dmt9l52pM/49ixYxUREdHey2lz5LNfqGcM9XxS6GckX+v532EJVpsWmsTERElSdXW1evfu7Wyvrq7WsGHDnDnHjh0L2O/s2bM6fvy4s39iYqKqq6sD5vgf++ecz+VyyeVyNdkeERFxRT6ZvI1h8jYEFppQ+6S9Us9dR0E++4V6xlDPJ4V+RvK17pit0aa/hyY1NVWJiYnatGmTs62urk67du2Sx+ORJHk8HtXU1KisrMyZs3nzZjU2Nio9Pd2Zs23btoD30UpKStS/f/9m324CAADfbkEXmpMnT6q8vFzl5eWS/vaDwOXl5aqsrFRYWJjy8vL029/+Vv/zP/+jffv26b777lNSUpLuuOMOSdLAgQN166236qGHHtLu3bv13nvvadq0abr77ruVlJQkSfrpT3+qyMhITZ48WQcOHNBrr72mp59+OuAtJQAAAL+g33Las2ePbr75Zuexv2RMmjRJxcXFmjlzpr7++ms9/PDDqqmp0Y033qh169YpKirK2eeVV17RtGnTdMsttyg8PFwTJkzQ73//e2c8NjZWGzZsUG5urtLS0tSrVy/NmTOHW7YBAECzgi40o0ePljFNb1n2CwsL0/z58zV//vwLzunRo4dWrFhx0fMMGTJE7777brDLAwAA30L8LScAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWI9CAwAArEehAQAA1qPQAAAA61FoAACA9Sg0AADAehQaAABgPQoNAACwHoUGAABYj0IDAACsR6EBAADWo9AAAADrUWgAAID1KDQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKzXub0XEEq++6s1zW7/bGHON7wSAAC+XTp0oSkqKtLjjz+uqqoqDR06VM8884xuuOGG9l5Wm6EAAQDQNjpsoXnttdeUn5+vpUuXKj09XU899ZSys7NVUVGh+Pj49l5eUC5UXIKZT8kBAODCOmyhefLJJ/XQQw/p/vvvlyQtXbpUa9as0Ysvvqhf/epX7by6joNXeQAA6KCFpr6+XmVlZSooKHC2hYeHKzMzU6Wlpc3u4/V65fV6nce1tbWSpOPHj8vn87XZ2nw+n06dOqXOvnA1NIa12XEvpd8vVza7/UIX8ELzW8IVbjR7eKOG/fp1eb/BjJK0q+CWK34O/zX88ssvFRERccXP900L9XxS6GcM9XxS6GckX+udOHFCkmSMCWq/Dllo/vrXv6qhoUEJCQkB2xMSEvTxxx83u09hYaHmzZvXZHtqauoVWWOo+2k7nbfXE+10YgBAh3LixAnFxsa2eH6HLDStUVBQoPz8fOdxY2Ojjh8/rp49eyosrO1eZairq1Pfvn31xRdfyO12t9lxO5JQz0g++4V6xlDPJ4V+RvK1njFGJ06cUFJSUlD7dchC06tXL3Xq1EnV1dUB26urq5WYmNjsPi6XSy6XK2BbXFzclVqi3G53SH6SnivUM5LPfqGeMdTzSaGfkXytE8wrM34d8hfrRUZGKi0tTZs2bXK2NTY2atOmTfJ4PO24MgAA0BF1yFdoJCk/P1+TJk3SyJEjdcMNN+ipp57S119/7dz1BAAA4NdhC81dd92lv/zlL5ozZ46qqqo0bNgwrVu3rskPCn/TXC6XHnvssSZvb4WSUM9IPvuFesZQzyeFfkbyffPCTLD3RQEAAHQwHfJnaAAAAIJBoQEAANaj0AAAAOtRaAAAgPUoNEEqKirSd7/7XUVFRSk9PV27d+9u7yWpsLBQ3//+99WtWzfFx8frjjvuUEVFRcCc0aNHKywsLOBjypQpAXMqKyuVk5OjmJgYxcfHa8aMGTp79mzAnC1btmjEiBFyuVzq16+fiouLm6ynrZ+juXPnNln7gAEDnPEzZ84oNzdXPXv2VNeuXTVhwoQmv5Sxo2bz++53v9skY1hYmHJzcyXZd/22bdum2267TUlJSQoLC9Obb74ZMG6M0Zw5c9S7d29FR0crMzNTn3zyScCc48ePa+LEiXK73YqLi9PkyZN18uTJgDkffvihbrrpJkVFRalv375atGhRk7WsWrVKAwYMUFRUlAYPHqy1a9cGvZZg8vl8Ps2aNUuDBw9Wly5dlJSUpPvuu09HjhwJOEZz13zhwoUdIt+lMkrSz372sybrv/XWWwPm2HoNJTX7/zEsLEyPP/64M6cjX8OWfF/oSF87W7KWSzJosVdffdVERkaaF1980Rw4cMA89NBDJi4uzlRXV7frurKzs83y5cvN/v37TXl5ufnRj35kkpOTzcmTJ505P/zhD81DDz1kjh496nzU1tY642fPnjXXX3+9yczMNHv37jVr1641vXr1MgUFBc6cP/3pTyYmJsbk5+ebgwcPmmeeecZ06tTJrFu3zplzJZ6jxx57zFx33XUBa//LX/7ijE+ZMsX07dvXbNq0yezZs8dkZGSYv/u7v7Mim9+xY8cC8pWUlBhJ5p133jHG2Hf91q5da37961+b119/3Ugyb7zxRsD4woULTWxsrHnzzTfNBx98YH784x+b1NRUc/r0aWfOrbfeaoYOHWp27txp3n33XdOvXz9zzz33OOO1tbUmISHBTJw40ezfv9/84Q9/MNHR0eb555935rz33numU6dOZtGiRebgwYNm9uzZJiIiwuzbty+otQSTr6amxmRmZprXXnvNfPzxx6a0tNTccMMNJi0tLeAYKSkpZv78+QHX9Nz/s+2Z71IZjTFm0qRJ5tZbbw1Y//HjxwPm2HoNjTEBuY4ePWpefPFFExYWZg4dOuTM6cjXsCXfFzrS185LraUlKDRBuOGGG0xubq7zuKGhwSQlJZnCwsJ2XFVTx44dM5LM1q1bnW0//OEPzaOPPnrBfdauXWvCw8NNVVWVs23JkiXG7XYbr9drjDFm5syZ5rrrrgvY76677jLZ2dnO4yvxHD322GNm6NChzY7V1NSYiIgIs2rVKmfbRx99ZCSZ0tLSDp/tQh599FFzzTXXmMbGRmOM3dfv/G8WjY2NJjEx0Tz++OPOtpqaGuNyucwf/vAHY4wxBw8eNJLM+++/78z54x//aMLCwsz//d//GWOMee6550z37t2dfMYYM2vWLNO/f3/n8U9+8hOTk5MTsJ709HTz85//vMVrCTZfc3bv3m0kmc8//9zZlpKSYhYvXnzBfTpKPmOazzhp0iRz++23X3CfULuGt99+uxkzZkzANpuu4fnfFzrS186WrKUleMupherr61VWVqbMzExnW3h4uDIzM1VaWtqOK2uqtrZWktSjR4+A7a+88op69eql66+/XgUFBTp16pQzVlpaqsGDBwf84sLs7GzV1dXpwIEDzpxz8/vn+PNfyefok08+UVJSkq6++mpNnDhRlZWVkqSysjL5fL6Acw4YMEDJycnOOTt6tvPV19fr5Zdf1gMPPBDwh1Vtvn7nOnz4sKqqqgLOExsbq/T09IBrFhcXp5EjRzpzMjMzFR4erl27djlzRo0apcjIyIA8FRUV+uqrr1qUuSVraQu1tbUKCwtr8vflFi5cqJ49e2r48OF6/PHHA17KtyHfli1bFB8fr/79+2vq1Kn68ssvA9YfKtewurpaa9as0eTJk5uM2XINz/++0JG+drZkLS3RYX9TcEfz17/+VQ0NDU1+U3FCQoI+/vjjdlpVU42NjcrLy9MPfvADXX/99c72n/70p0pJSVFSUpI+/PBDzZo1SxUVFXr99dclSVVVVc1m849dbE5dXZ1Onz6tr7766oo8R+np6SouLlb//v119OhRzZs3TzfddJP279+vqqoqRUZGNvlGkZCQcMl1d4RszXnzzTdVU1Ojn/3sZ842m6/f+fzrae485641Pj4+YLxz587q0aNHwJzU1NQmx/CPde/e/YKZzz3GpdZyuc6cOaNZs2bpnnvuCfgjfv/8z/+sESNGqEePHtqxY4cKCgp09OhRPfnkk1bku/XWWzV+/Hilpqbq0KFD+pd/+ReNGzdOpaWl6tSpU0hdw5deekndunXT+PHjA7bbcg2b+77Qkb52tmQtLUGhCTG5ubnav3+/tm/fHrD94Ycfdv49ePBg9e7dW7fccosOHTqka6655pteZlDGjRvn/HvIkCFKT09XSkqKVq5cqejo6HZc2ZWxbNkyjRs3TklJSc42m6/ft5nP59NPfvITGWO0ZMmSgLH8/Hzn30OGDFFkZKR+/vOfq7CwsEP9OvkLufvuu51/Dx48WEOGDNE111yjLVu26JZbbmnHlbW9F198URMnTlRUVFTAdluu4YW+L4Qa3nJqoV69eqlTp05Nfuq6urpaiYmJ7bSqQNOmTdPq1av1zjvvqE+fPhedm56eLkn69NNPJUmJiYnNZvOPXWyO2+1WdHT0N/YcxcXF6dprr9Wnn36qxMRE1dfXq6am5oLntCnb559/ro0bN+rBBx+86Dybr5//WBc7T2Jioo4dOxYwfvbsWR0/frxNruu545daS2v5y8znn3+ukpKSgFdnmpOenq6zZ8/qs88+u+jaz113e+Y739VXX61evXoFfE7afg0l6d1331VFRcUl/09KHfMaXuj7Qkf62tmStbQEhaaFIiMjlZaWpk2bNjnbGhsbtWnTJnk8nnZc2d9u6Zs2bZreeOMNbd68uclLnM0pLy+XJPXu3VuS5PF4tG/fvoAvQP4vwoMGDXLmnJvfP8ef/5t6jk6ePKlDhw6pd+/eSktLU0RERMA5KyoqVFlZ6ZzTpmzLly9XfHy8cnJyLjrP5uuXmpqqxMTEgPPU1dVp165dAdespqZGZWVlzpzNmzersbHRKXMej0fbtm2Tz+cLyNO/f3917969RZlbspbW8JeZTz75RBs3blTPnj0vuU95ebnCw8Odt2k6cr7m/PnPf9aXX34Z8Dlp8zX0W7ZsmdLS0jR06NBLzu1I1/BS3xc60tfOlqylRVr848Mwr776qnG5XKa4uNgcPHjQPPzwwyYuLi7gJ8Dbw9SpU01sbKzZsmVLwO2Dp06dMsYY8+mnn5r58+ebPXv2mMOHD5u33nrLXH311WbUqFHOMfy352VlZZny8nKzbt06c9VVVzV7e96MGTPMRx99ZIqKipq9Pa+tn6Nf/OIXZsuWLebw4cPmvffeM5mZmaZXr17m2LFjxpi/3e6XnJxsNm/ebPbs2WM8Ho/xeDxWZDtXQ0ODSU5ONrNmzQrYbuP1O3HihNm7d6/Zu3evkWSefPJJs3fvXucun4ULF5q4uDjz1ltvmQ8//NDcfvvtzd62PXz4cLNr1y6zfft2873vfS/glt+amhqTkJBg7r33XrN//37z6quvmpiYmCa3xHbu3Nn87ne/Mx999JF57LHHmr0l9lJrCSZffX29+fGPf2z69OljysvLA/5P+u8M2bFjh1m8eLEpLy83hw4dMi+//LK56qqrzH333dch8l0q44kTJ8wvf/lLU1paag4fPmw2btxoRowYYb73ve+ZM2fOWH8N/Wpra01MTIxZsmRJk/07+jW81PcFYzrW185LraUlKDRBeuaZZ0xycrKJjIw0N9xwg9m5c2d7L8lIavZj+fLlxhhjKisrzahRo0yPHj2My+Uy/fr1MzNmzAj4PSbGGPPZZ5+ZcePGmejoaNOrVy/zi1/8wvh8voA577zzjhk2bJiJjIw0V199tXOOc7X1c3TXXXeZ3r17m8jISPOd73zH3HXXXebTTz91xk+fPm3+6Z/+yXTv3t3ExMSYO++80xw9etSKbOdav369kWQqKioCttt4/d55551mPycnTZpkjPnbrai/+c1vTEJCgnG5XOaWW25pkvvLL78099xzj+natatxu93m/vvvNydOnAiY88EHH5gbb7zRuFwu853vfMcsXLiwyVpWrlxprr32WhMZGWmuu+46s2bNmoDxlqwlmHyHDx++4P9J/+8VKisrM+np6SY2NtZERUWZgQMHmn/7t38LKAPtme9SGU+dOmWysrLMVVddZSIiIkxKSop56KGHmhRfW6+h3/PPP2+io6NNTU1Nk/07+jW81PcFYzrW186WrOVSwv5/cAAAAGvxMzQAAMB6FBoAAGA9Cg0AALAehQYAAFiPQgMAAKxHoQEAANaj0AAAAOtRaAAAgPUoNAAAwHoUGgAAYD0KDQAAsB6FBgAAWO//AcC+kd1Yr3UFAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -5289,10 +5303,10 @@
    "execution_count": 58,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:20.638273Z",
-     "iopub.status.busy": "2024-09-05T02:51:20.637904Z",
-     "iopub.status.idle": "2024-09-05T02:51:20.675142Z",
-     "shell.execute_reply": "2024-09-05T02:51:20.674561Z"
+     "iopub.execute_input": "2024-11-05T02:51:21.965164Z",
+     "iopub.status.busy": "2024-11-05T02:51:21.964747Z",
+     "iopub.status.idle": "2024-11-05T02:51:22.002930Z",
+     "shell.execute_reply": "2024-11-05T02:51:22.002343Z"
     }
    },
    "outputs": [
@@ -5325,35 +5339,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>835</th>\n",
+       "      <th>1006</th>\n",
        "      <td>7.05</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.05 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>945</th>\n",
+       "      <th>1141</th>\n",
        "      <td>7.57</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.57 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>972</th>\n",
+       "      <th>1174</th>\n",
        "      <td>3.5</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>3.5 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2545</th>\n",
+       "      <th>3041</th>\n",
        "      <td>3.8</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>3.8 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3288</th>\n",
+       "      <th>3921</th>\n",
        "      <td>3.7</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -5367,35 +5381,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416416</th>\n",
+       "      <th>456814</th>\n",
        "      <td>7.01</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.01 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416485</th>\n",
+       "      <th>456883</th>\n",
        "      <td>5.96</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>5.96 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416528</th>\n",
+       "      <th>456926</th>\n",
        "      <td>4.1</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>4.1 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416534</th>\n",
+       "      <th>456932</th>\n",
        "      <td>7.79</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.79 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416571</th>\n",
+       "      <th>456969</th>\n",
        "      <td>5.79</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
@@ -5403,37 +5417,37 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>6205 rows × 4 columns</p>\n",
+       "<p>6220 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "835                  7.05                          mg/L     NaN   \n",
-       "945                  7.57                          mg/L     NaN   \n",
-       "972                   3.5                          mg/L     NaN   \n",
-       "2545                  3.8                          mg/L     NaN   \n",
-       "3288                  3.7                          mg/L     NaN   \n",
+       "1006                 7.05                          mg/L     NaN   \n",
+       "1141                 7.57                          mg/L     NaN   \n",
+       "1174                  3.5                          mg/L     NaN   \n",
+       "3041                  3.8                          mg/L     NaN   \n",
+       "3921                  3.7                          mg/L     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "416416               7.01                          mg/l     NaN   \n",
-       "416485               5.96                          mg/l     NaN   \n",
-       "416528                4.1                          mg/l     NaN   \n",
-       "416534               7.79                          mg/l     NaN   \n",
-       "416571               5.79                          mg/l     NaN   \n",
+       "456814               7.01                          mg/l     NaN   \n",
+       "456883               5.96                          mg/l     NaN   \n",
+       "456926                4.1                          mg/l     NaN   \n",
+       "456932               7.79                          mg/l     NaN   \n",
+       "456969               5.79                          mg/l     NaN   \n",
        "\n",
        "                        Carbon  \n",
-       "835     7.05 milligram / liter  \n",
-       "945     7.57 milligram / liter  \n",
-       "972      3.5 milligram / liter  \n",
-       "2545     3.8 milligram / liter  \n",
-       "3288     3.7 milligram / liter  \n",
+       "1006    7.05 milligram / liter  \n",
+       "1141    7.57 milligram / liter  \n",
+       "1174     3.5 milligram / liter  \n",
+       "3041     3.8 milligram / liter  \n",
+       "3921     3.7 milligram / liter  \n",
        "...                        ...  \n",
-       "416416  7.01 milligram / liter  \n",
-       "416485  5.96 milligram / liter  \n",
-       "416528   4.1 milligram / liter  \n",
-       "416534  7.79 milligram / liter  \n",
-       "416571  5.79 milligram / liter  \n",
+       "456814  7.01 milligram / liter  \n",
+       "456883  5.96 milligram / liter  \n",
+       "456926   4.1 milligram / liter  \n",
+       "456932  7.79 milligram / liter  \n",
+       "456969  5.79 milligram / liter  \n",
        "\n",
-       "[6205 rows x 4 columns]"
+       "[6220 rows x 4 columns]"
       ]
      },
      "execution_count": 58,
@@ -5458,10 +5472,10 @@
    "execution_count": 59,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:20.677311Z",
-     "iopub.status.busy": "2024-09-05T02:51:20.677133Z",
-     "iopub.status.idle": "2024-09-05T02:51:24.509728Z",
-     "shell.execute_reply": "2024-09-05T02:51:24.509153Z"
+     "iopub.execute_input": "2024-11-05T02:51:22.004802Z",
+     "iopub.status.busy": "2024-11-05T02:51:22.004463Z",
+     "iopub.status.idle": "2024-11-05T02:51:26.029809Z",
+     "shell.execute_reply": "2024-11-05T02:51:26.029292Z"
     }
    },
    "outputs": [
@@ -5469,7 +5483,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/harmonize.py:149: UserWarning: Bad Turbidity unit: count\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/harmonize.py:149: UserWarning: Bad Turbidity unit: count\n",
       "  warn(f\"Bad Turbidity unit: {unit}\")\n"
      ]
     },
@@ -5477,7 +5491,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -5486,23 +5500,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    25833.000000\n",
-      "mean        20.034423\n",
-      "std         82.668605\n",
+      "count    29171.000000\n",
+      "mean        18.052962\n",
+      "std         78.056340\n",
       "min       -999.000000\n",
-      "25%          1.550000\n",
-      "50%          3.200000\n",
-      "75%          7.100000\n",
+      "25%          1.400000\n",
+      "50%          2.890000\n",
+      "75%          6.500000\n",
       "max       4100.000000\n",
       "dtype: float64\n",
       "Unusable results: 547\n",
       "Usable results with inferred units: 275\n",
-      "Results outside threshold (0.0 to 516.0460525509235): 168\n"
+      "Results outside threshold (0.0 to 486.3910018894372): 190\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -5521,10 +5535,10 @@
    "execution_count": 60,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:24.512390Z",
-     "iopub.status.busy": "2024-09-05T02:51:24.511848Z",
-     "iopub.status.idle": "2024-09-05T02:51:24.571164Z",
-     "shell.execute_reply": "2024-09-05T02:51:24.570677Z"
+     "iopub.execute_input": "2024-11-05T02:51:26.031553Z",
+     "iopub.status.busy": "2024-11-05T02:51:26.031377Z",
+     "iopub.status.idle": "2024-11-05T02:51:26.097439Z",
+     "shell.execute_reply": "2024-11-05T02:51:26.096908Z"
     }
    },
    "outputs": [
@@ -5558,38 +5572,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>4.2</td>\n",
+       "      <td>1</td>\n",
        "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>4.2 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>1.0 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1.3</td>\n",
+       "      <th>3</th>\n",
+       "      <td>4.2</td>\n",
        "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>1.3 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>4.2 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>7.9</td>\n",
+       "      <th>7</th>\n",
+       "      <td>1.3</td>\n",
        "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.9 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>1.3 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>1.5</td>\n",
+       "      <th>11</th>\n",
+       "      <td>5.2</td>\n",
        "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>1.5 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>5.2 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>2.1</td>\n",
+       "      <th>14</th>\n",
+       "      <td>7.9</td>\n",
        "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>2.1 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>7.9 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -5599,35 +5613,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416589</th>\n",
+       "      <th>456987</th>\n",
        "      <td>1.6</td>\n",
        "      <td>NTRU</td>\n",
        "      <td>NaN</td>\n",
        "      <td>1.6 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416599</th>\n",
+       "      <th>456997</th>\n",
        "      <td>5.8</td>\n",
        "      <td>NTRU</td>\n",
        "      <td>NaN</td>\n",
        "      <td>5.8 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416603</th>\n",
+       "      <th>457001</th>\n",
        "      <td>2.1</td>\n",
        "      <td>NTRU</td>\n",
        "      <td>NaN</td>\n",
        "      <td>2.1 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416607</th>\n",
+       "      <th>457005</th>\n",
        "      <td>2.9</td>\n",
        "      <td>NTRU</td>\n",
        "      <td>NaN</td>\n",
        "      <td>2.9 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416611</th>\n",
+       "      <th>457009</th>\n",
        "      <td>2.7</td>\n",
        "      <td>NTRU</td>\n",
        "      <td>NaN</td>\n",
@@ -5635,37 +5649,37 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>26380 rows × 4 columns</p>\n",
+       "<p>29718 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "1                     4.2                           NTU     NaN   \n",
-       "5                     1.3                           NTU     NaN   \n",
-       "10                    7.9                           NTU     NaN   \n",
-       "20                    1.5                           NTU     NaN   \n",
-       "25                    2.1                           NTU     NaN   \n",
+       "1                       1                           NTU     NaN   \n",
+       "3                     4.2                           NTU     NaN   \n",
+       "7                     1.3                           NTU     NaN   \n",
+       "11                    5.2                           NTU     NaN   \n",
+       "14                    7.9                           NTU     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "416589                1.6                          NTRU     NaN   \n",
-       "416599                5.8                          NTRU     NaN   \n",
-       "416603                2.1                          NTRU     NaN   \n",
-       "416607                2.9                          NTRU     NaN   \n",
-       "416611                2.7                          NTRU     NaN   \n",
+       "456987                1.6                          NTRU     NaN   \n",
+       "456997                5.8                          NTRU     NaN   \n",
+       "457001                2.1                          NTRU     NaN   \n",
+       "457005                2.9                          NTRU     NaN   \n",
+       "457009                2.7                          NTRU     NaN   \n",
        "\n",
        "                                Turbidity  \n",
-       "1       4.2 Nephelometric_Turbidity_Units  \n",
-       "5       1.3 Nephelometric_Turbidity_Units  \n",
-       "10      7.9 Nephelometric_Turbidity_Units  \n",
-       "20      1.5 Nephelometric_Turbidity_Units  \n",
-       "25      2.1 Nephelometric_Turbidity_Units  \n",
+       "1       1.0 Nephelometric_Turbidity_Units  \n",
+       "3       4.2 Nephelometric_Turbidity_Units  \n",
+       "7       1.3 Nephelometric_Turbidity_Units  \n",
+       "11      5.2 Nephelometric_Turbidity_Units  \n",
+       "14      7.9 Nephelometric_Turbidity_Units  \n",
        "...                                   ...  \n",
-       "416589  1.6 Nephelometric_Turbidity_Units  \n",
-       "416599  5.8 Nephelometric_Turbidity_Units  \n",
-       "416603  2.1 Nephelometric_Turbidity_Units  \n",
-       "416607  2.9 Nephelometric_Turbidity_Units  \n",
-       "416611  2.7 Nephelometric_Turbidity_Units  \n",
+       "456987  1.6 Nephelometric_Turbidity_Units  \n",
+       "456997  5.8 Nephelometric_Turbidity_Units  \n",
+       "457001  2.1 Nephelometric_Turbidity_Units  \n",
+       "457005  2.9 Nephelometric_Turbidity_Units  \n",
+       "457009  2.7 Nephelometric_Turbidity_Units  \n",
        "\n",
-       "[26380 rows x 4 columns]"
+       "[29718 rows x 4 columns]"
       ]
      },
      "execution_count": 60,
@@ -5690,10 +5704,10 @@
    "execution_count": 61,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:24.573238Z",
-     "iopub.status.busy": "2024-09-05T02:51:24.573065Z",
-     "iopub.status.idle": "2024-09-05T02:51:25.675719Z",
-     "shell.execute_reply": "2024-09-05T02:51:25.675102Z"
+     "iopub.execute_input": "2024-11-05T02:51:26.099096Z",
+     "iopub.status.busy": "2024-11-05T02:51:26.098927Z",
+     "iopub.status.idle": "2024-11-05T02:51:27.272727Z",
+     "shell.execute_reply": "2024-11-05T02:51:27.272148Z"
     }
    },
    "outputs": [
@@ -5701,7 +5715,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'g / H2O' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'g / H2O' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     }
@@ -5716,10 +5730,10 @@
    "execution_count": 62,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:25.677763Z",
-     "iopub.status.busy": "2024-09-05T02:51:25.677589Z",
-     "iopub.status.idle": "2024-09-05T02:51:25.794025Z",
-     "shell.execute_reply": "2024-09-05T02:51:25.793411Z"
+     "iopub.execute_input": "2024-11-05T02:51:27.274416Z",
+     "iopub.status.busy": "2024-11-05T02:51:27.274239Z",
+     "iopub.status.idle": "2024-11-05T02:51:27.400493Z",
+     "shell.execute_reply": "2024-11-05T02:51:27.399994Z"
     }
    },
    "outputs": [
@@ -5752,35 +5766,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>374162</th>\n",
+       "      <th>415606</th>\n",
        "      <td>0.012</td>\n",
        "      <td>g</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>374163</th>\n",
+       "      <th>415607</th>\n",
        "      <td>0.0037</td>\n",
        "      <td>g</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>374164</th>\n",
+       "      <th>415608</th>\n",
        "      <td>0.0048</td>\n",
        "      <td>g</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>374165</th>\n",
+       "      <th>415609</th>\n",
        "      <td>0.001</td>\n",
        "      <td>g</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>374166</th>\n",
+       "      <th>415610</th>\n",
        "      <td>0.0088</td>\n",
        "      <td>g</td>\n",
        "      <td>NaN</td>\n",
@@ -5794,35 +5808,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415678</th>\n",
+       "      <th>456076</th>\n",
        "      <td>0.0051</td>\n",
        "      <td>g</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415752</th>\n",
+       "      <th>456150</th>\n",
        "      <td>0.0025</td>\n",
        "      <td>g</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415824</th>\n",
+       "      <th>456222</th>\n",
        "      <td>0.002</td>\n",
        "      <td>g</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415863</th>\n",
+       "      <th>456261</th>\n",
        "      <td>0.0023</td>\n",
        "      <td>g</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415909</th>\n",
+       "      <th>456307</th>\n",
        "      <td>0.0014</td>\n",
        "      <td>g</td>\n",
        "      <td>NaN</td>\n",
@@ -5835,17 +5849,17 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  Sediment\n",
-       "374162              0.012                             g     NaN       NaN\n",
-       "374163             0.0037                             g     NaN       NaN\n",
-       "374164             0.0048                             g     NaN       NaN\n",
-       "374165              0.001                             g     NaN       NaN\n",
-       "374166             0.0088                             g     NaN       NaN\n",
+       "415606              0.012                             g     NaN       NaN\n",
+       "415607             0.0037                             g     NaN       NaN\n",
+       "415608             0.0048                             g     NaN       NaN\n",
+       "415609              0.001                             g     NaN       NaN\n",
+       "415610             0.0088                             g     NaN       NaN\n",
        "...                   ...                           ...     ...       ...\n",
-       "415678             0.0051                             g     NaN       NaN\n",
-       "415752             0.0025                             g     NaN       NaN\n",
-       "415824              0.002                             g     NaN       NaN\n",
-       "415863             0.0023                             g     NaN       NaN\n",
-       "415909             0.0014                             g     NaN       NaN\n",
+       "456076             0.0051                             g     NaN       NaN\n",
+       "456150             0.0025                             g     NaN       NaN\n",
+       "456222              0.002                             g     NaN       NaN\n",
+       "456261             0.0023                             g     NaN       NaN\n",
+       "456307             0.0014                             g     NaN       NaN\n",
        "\n",
        "[4410 rows x 4 columns]"
       ]
@@ -5879,10 +5893,10 @@
    "execution_count": 63,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:25.796098Z",
-     "iopub.status.busy": "2024-09-05T02:51:25.795925Z",
-     "iopub.status.idle": "2024-09-05T02:51:30.208823Z",
-     "shell.execute_reply": "2024-09-05T02:51:30.208290Z"
+     "iopub.execute_input": "2024-11-05T02:51:27.402245Z",
+     "iopub.status.busy": "2024-11-05T02:51:27.402071Z",
+     "iopub.status.idle": "2024-11-05T02:51:31.837477Z",
+     "shell.execute_reply": "2024-11-05T02:51:31.836989Z"
     }
    },
    "outputs": [
@@ -5890,7 +5904,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n",
       "  data = np.array(data, copy=copy)\n"
      ]
     },
@@ -5926,10 +5940,10 @@
    "execution_count": 64,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:30.210901Z",
-     "iopub.status.busy": "2024-09-05T02:51:30.210730Z",
-     "iopub.status.idle": "2024-09-05T02:51:30.656593Z",
-     "shell.execute_reply": "2024-09-05T02:51:30.656070Z"
+     "iopub.execute_input": "2024-11-05T02:51:31.839357Z",
+     "iopub.status.busy": "2024-11-05T02:51:31.839008Z",
+     "iopub.status.idle": "2024-11-05T02:51:32.417622Z",
+     "shell.execute_reply": "2024-11-05T02:51:32.417031Z"
     }
    },
    "outputs": [
@@ -5962,35 +5976,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>27</th>\n",
+       "      <th>33</th>\n",
        "      <td>0.024</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30</th>\n",
+       "      <th>36</th>\n",
        "      <td>0.05</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>38</th>\n",
+       "      <th>46</th>\n",
        "      <td>0.027</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>46</th>\n",
+       "      <th>57</th>\n",
        "      <td>0.059712</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93</th>\n",
+       "      <th>111</th>\n",
        "      <td>0.049</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -6004,35 +6018,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415885</th>\n",
+       "      <th>456283</th>\n",
        "      <td>0.006</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.006 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415897</th>\n",
+       "      <th>456295</th>\n",
        "      <td>0.016</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415898</th>\n",
+       "      <th>456296</th>\n",
        "      <td>0.008</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.008 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415905</th>\n",
+       "      <th>456303</th>\n",
        "      <td>0.047</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415906</th>\n",
+       "      <th>456304</th>\n",
        "      <td>0.028</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
@@ -6045,30 +6059,30 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "27                  0.024                          mg/L     NaN   \n",
-       "30                   0.05                          mg/L     NaN   \n",
-       "38                  0.027                          mg/L     NaN   \n",
-       "46               0.059712                          mg/L     NaN   \n",
-       "93                  0.049                          mg/L     NaN   \n",
+       "33                  0.024                          mg/L     NaN   \n",
+       "36                   0.05                          mg/L     NaN   \n",
+       "46                  0.027                          mg/L     NaN   \n",
+       "57               0.059712                          mg/L     NaN   \n",
+       "111                 0.049                          mg/L     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "415885              0.006                     mg/l as P     NaN   \n",
-       "415897              0.016                     mg/l as P     NaN   \n",
-       "415898              0.008                     mg/l as P     NaN   \n",
-       "415905              0.047                     mg/l as P     NaN   \n",
-       "415906              0.028                     mg/l as P     NaN   \n",
+       "456283              0.006                     mg/l as P     NaN   \n",
+       "456295              0.016                     mg/l as P     NaN   \n",
+       "456296              0.008                     mg/l as P     NaN   \n",
+       "456303              0.047                     mg/l as P     NaN   \n",
+       "456304              0.028                     mg/l as P     NaN   \n",
        "\n",
        "                 TDP_Phosphorus  \n",
-       "27                          NaN  \n",
-       "30                          NaN  \n",
-       "38                          NaN  \n",
+       "33                          NaN  \n",
+       "36                          NaN  \n",
        "46                          NaN  \n",
-       "93                          NaN  \n",
+       "57                          NaN  \n",
+       "111                         NaN  \n",
        "...                         ...  \n",
-       "415885  0.006 milligram / liter  \n",
-       "415897                      NaN  \n",
-       "415898  0.008 milligram / liter  \n",
-       "415905                      NaN  \n",
-       "415906  0.028 milligram / liter  \n",
+       "456283  0.006 milligram / liter  \n",
+       "456295                      NaN  \n",
+       "456296  0.008 milligram / liter  \n",
+       "456303                      NaN  \n",
+       "456304  0.028 milligram / liter  \n",
        "\n",
        "[15994 rows x 4 columns]"
       ]
@@ -6089,10 +6103,10 @@
    "execution_count": 65,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:30.658587Z",
-     "iopub.status.busy": "2024-09-05T02:51:30.658415Z",
-     "iopub.status.idle": "2024-09-05T02:51:30.695669Z",
-     "shell.execute_reply": "2024-09-05T02:51:30.695113Z"
+     "iopub.execute_input": "2024-11-05T02:51:32.419352Z",
+     "iopub.status.busy": "2024-11-05T02:51:32.419080Z",
+     "iopub.status.idle": "2024-11-05T02:51:32.457734Z",
+     "shell.execute_reply": "2024-11-05T02:51:32.457117Z"
     }
    },
    "outputs": [
@@ -6125,35 +6139,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>27</th>\n",
+       "      <th>33</th>\n",
        "      <td>0.024</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30</th>\n",
+       "      <th>36</th>\n",
        "      <td>0.05</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>38</th>\n",
+       "      <th>46</th>\n",
        "      <td>0.027</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>46</th>\n",
+       "      <th>57</th>\n",
        "      <td>0.059712</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93</th>\n",
+       "      <th>111</th>\n",
        "      <td>0.049</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -6167,35 +6181,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415859</th>\n",
+       "      <th>456257</th>\n",
        "      <td>0.036</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415870</th>\n",
+       "      <th>456268</th>\n",
        "      <td>0.021</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415884</th>\n",
+       "      <th>456282</th>\n",
        "      <td>0.011</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415897</th>\n",
+       "      <th>456295</th>\n",
        "      <td>0.016</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415905</th>\n",
+       "      <th>456303</th>\n",
        "      <td>0.047</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
@@ -6208,17 +6222,17 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag TDP_Phosphorus\n",
-       "27                  0.024                          mg/L     NaN            NaN\n",
-       "30                   0.05                          mg/L     NaN            NaN\n",
-       "38                  0.027                          mg/L     NaN            NaN\n",
-       "46               0.059712                          mg/L     NaN            NaN\n",
-       "93                  0.049                          mg/L     NaN            NaN\n",
+       "33                  0.024                          mg/L     NaN            NaN\n",
+       "36                   0.05                          mg/L     NaN            NaN\n",
+       "46                  0.027                          mg/L     NaN            NaN\n",
+       "57               0.059712                          mg/L     NaN            NaN\n",
+       "111                 0.049                          mg/L     NaN            NaN\n",
        "...                   ...                           ...     ...            ...\n",
-       "415859              0.036                     mg/l as P     NaN            NaN\n",
-       "415870              0.021                     mg/l as P     NaN            NaN\n",
-       "415884              0.011                     mg/l as P     NaN            NaN\n",
-       "415897              0.016                     mg/l as P     NaN            NaN\n",
-       "415905              0.047                     mg/l as P     NaN            NaN\n",
+       "456257              0.036                     mg/l as P     NaN            NaN\n",
+       "456268              0.021                     mg/l as P     NaN            NaN\n",
+       "456282              0.011                     mg/l as P     NaN            NaN\n",
+       "456295              0.016                     mg/l as P     NaN            NaN\n",
+       "456303              0.047                     mg/l as P     NaN            NaN\n",
        "\n",
        "[10721 rows x 4 columns]"
       ]
@@ -6238,10 +6252,10 @@
    "execution_count": 66,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:30.697894Z",
-     "iopub.status.busy": "2024-09-05T02:51:30.697544Z",
-     "iopub.status.idle": "2024-09-05T02:51:30.721855Z",
-     "shell.execute_reply": "2024-09-05T02:51:30.721235Z"
+     "iopub.execute_input": "2024-11-05T02:51:32.459776Z",
+     "iopub.status.busy": "2024-11-05T02:51:32.459411Z",
+     "iopub.status.idle": "2024-11-05T02:51:32.484950Z",
+     "shell.execute_reply": "2024-11-05T02:51:32.484446Z"
     }
    },
    "outputs": [
@@ -6274,35 +6288,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>40115</th>\n",
+       "      <th>46458</th>\n",
        "      <td>0.023</td>\n",
        "      <td>ppm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.023000000000000003 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>42563</th>\n",
+       "      <th>50488</th>\n",
        "      <td>0.035</td>\n",
        "      <td>ppm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.03500000000000001 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>43712</th>\n",
+       "      <th>52411</th>\n",
        "      <td>0.017</td>\n",
        "      <td>ppm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.017000000000000005 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>43817</th>\n",
+       "      <th>52575</th>\n",
        "      <td>0.015</td>\n",
        "      <td>ppm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.015000000000000003 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>44687</th>\n",
+       "      <th>53985</th>\n",
        "      <td>0.015</td>\n",
        "      <td>ppm</td>\n",
        "      <td>NaN</td>\n",
@@ -6316,35 +6330,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415860</th>\n",
+       "      <th>456258</th>\n",
        "      <td>0.015</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.015 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415871</th>\n",
+       "      <th>456269</th>\n",
        "      <td>0.005</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.005 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415885</th>\n",
+       "      <th>456283</th>\n",
        "      <td>0.006</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.006 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415898</th>\n",
+       "      <th>456296</th>\n",
        "      <td>0.008</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.008 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>415906</th>\n",
+       "      <th>456304</th>\n",
        "      <td>0.028</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
@@ -6357,30 +6371,30 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "40115               0.023                           ppm     NaN   \n",
-       "42563               0.035                           ppm     NaN   \n",
-       "43712               0.017                           ppm     NaN   \n",
-       "43817               0.015                           ppm     NaN   \n",
-       "44687               0.015                           ppm     NaN   \n",
+       "46458               0.023                           ppm     NaN   \n",
+       "50488               0.035                           ppm     NaN   \n",
+       "52411               0.017                           ppm     NaN   \n",
+       "52575               0.015                           ppm     NaN   \n",
+       "53985               0.015                           ppm     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "415860              0.015                     mg/l as P     NaN   \n",
-       "415871              0.005                     mg/l as P     NaN   \n",
-       "415885              0.006                     mg/l as P     NaN   \n",
-       "415898              0.008                     mg/l as P     NaN   \n",
-       "415906              0.028                     mg/l as P     NaN   \n",
+       "456258              0.015                     mg/l as P     NaN   \n",
+       "456269              0.005                     mg/l as P     NaN   \n",
+       "456283              0.006                     mg/l as P     NaN   \n",
+       "456296              0.008                     mg/l as P     NaN   \n",
+       "456304              0.028                     mg/l as P     NaN   \n",
        "\n",
        "                                TDP_Phosphorus  \n",
-       "40115   0.023000000000000003 milligram / liter  \n",
-       "42563    0.03500000000000001 milligram / liter  \n",
-       "43712   0.017000000000000005 milligram / liter  \n",
-       "43817   0.015000000000000003 milligram / liter  \n",
-       "44687   0.015000000000000003 milligram / liter  \n",
+       "46458   0.023000000000000003 milligram / liter  \n",
+       "50488    0.03500000000000001 milligram / liter  \n",
+       "52411   0.017000000000000005 milligram / liter  \n",
+       "52575   0.015000000000000003 milligram / liter  \n",
+       "53985   0.015000000000000003 milligram / liter  \n",
        "...                                        ...  \n",
-       "415860                 0.015 milligram / liter  \n",
-       "415871                 0.005 milligram / liter  \n",
-       "415885                 0.006 milligram / liter  \n",
-       "415898                 0.008 milligram / liter  \n",
-       "415906                 0.028 milligram / liter  \n",
+       "456258                 0.015 milligram / liter  \n",
+       "456269                 0.005 milligram / liter  \n",
+       "456283                 0.006 milligram / liter  \n",
+       "456296                 0.008 milligram / liter  \n",
+       "456304                 0.028 milligram / liter  \n",
        "\n",
        "[4857 rows x 4 columns]"
       ]
@@ -6400,10 +6414,10 @@
    "execution_count": 67,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:30.723816Z",
-     "iopub.status.busy": "2024-09-05T02:51:30.723645Z",
-     "iopub.status.idle": "2024-09-05T02:51:30.740691Z",
-     "shell.execute_reply": "2024-09-05T02:51:30.740128Z"
+     "iopub.execute_input": "2024-11-05T02:51:32.486777Z",
+     "iopub.status.busy": "2024-11-05T02:51:32.486431Z",
+     "iopub.status.idle": "2024-11-05T02:51:32.504483Z",
+     "shell.execute_reply": "2024-11-05T02:51:32.503883Z"
     }
    },
    "outputs": [
@@ -6436,35 +6450,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>29186</th>\n",
+       "      <th>35360</th>\n",
        "      <td>0.03525375</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29294</th>\n",
+       "      <th>35468</th>\n",
        "      <td>0.107028125</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29827</th>\n",
+       "      <th>36001</th>\n",
        "      <td>0.0697675</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30045</th>\n",
+       "      <th>36219</th>\n",
        "      <td>0.04356</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30194</th>\n",
+       "      <th>36367</th>\n",
        "      <td>0.03654875</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -6478,35 +6492,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>405967</th>\n",
+       "      <th>446365</th>\n",
        "      <td>530.0</td>\n",
        "      <td>mg/kg</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>407304</th>\n",
+       "      <th>447702</th>\n",
        "      <td>280.0</td>\n",
        "      <td>mg/kg</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>408078</th>\n",
+       "      <th>448476</th>\n",
        "      <td>270.0</td>\n",
        "      <td>mg/kg</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>408324</th>\n",
+       "      <th>448722</th>\n",
        "      <td>260.0</td>\n",
        "      <td>mg/kg</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>408593</th>\n",
+       "      <th>448991</th>\n",
        "      <td>1300.0</td>\n",
        "      <td>mg/kg</td>\n",
        "      <td>NaN</td>\n",
@@ -6519,17 +6533,17 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag TDP_Phosphorus\n",
-       "29186          0.03525375                          mg/L     NaN            NaN\n",
-       "29294         0.107028125                          mg/L     NaN            NaN\n",
-       "29827           0.0697675                          mg/L     NaN            NaN\n",
-       "30045             0.04356                          mg/L     NaN            NaN\n",
-       "30194          0.03654875                          mg/L     NaN            NaN\n",
+       "35360          0.03525375                          mg/L     NaN            NaN\n",
+       "35468         0.107028125                          mg/L     NaN            NaN\n",
+       "36001           0.0697675                          mg/L     NaN            NaN\n",
+       "36219             0.04356                          mg/L     NaN            NaN\n",
+       "36367          0.03654875                          mg/L     NaN            NaN\n",
        "...                   ...                           ...     ...            ...\n",
-       "405967              530.0                         mg/kg     NaN            NaN\n",
-       "407304              280.0                         mg/kg     NaN            NaN\n",
-       "408078              270.0                         mg/kg     NaN            NaN\n",
-       "408324              260.0                         mg/kg     NaN            NaN\n",
-       "408593             1300.0                         mg/kg     NaN            NaN\n",
+       "446365              530.0                         mg/kg     NaN            NaN\n",
+       "447702              280.0                         mg/kg     NaN            NaN\n",
+       "448476              270.0                         mg/kg     NaN            NaN\n",
+       "448722              260.0                         mg/kg     NaN            NaN\n",
+       "448991             1300.0                         mg/kg     NaN            NaN\n",
        "\n",
        "[416 rows x 4 columns]"
       ]
@@ -6570,10 +6584,10 @@
    "execution_count": 68,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:30.743043Z",
-     "iopub.status.busy": "2024-09-05T02:51:30.742621Z",
-     "iopub.status.idle": "2024-09-05T02:51:33.949661Z",
-     "shell.execute_reply": "2024-09-05T02:51:33.949069Z"
+     "iopub.execute_input": "2024-11-05T02:51:32.506518Z",
+     "iopub.status.busy": "2024-11-05T02:51:32.506116Z",
+     "iopub.status.idle": "2024-11-05T02:51:36.017416Z",
+     "shell.execute_reply": "2024-11-05T02:51:36.016938Z"
     }
    },
    "outputs": [
@@ -6581,11 +6595,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -6629,10 +6643,10 @@
    "execution_count": 69,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:33.951912Z",
-     "iopub.status.busy": "2024-09-05T02:51:33.951566Z",
-     "iopub.status.idle": "2024-09-05T02:51:33.993511Z",
-     "shell.execute_reply": "2024-09-05T02:51:33.992949Z"
+     "iopub.execute_input": "2024-11-05T02:51:36.019357Z",
+     "iopub.status.busy": "2024-11-05T02:51:36.018900Z",
+     "iopub.status.idle": "2024-11-05T02:51:36.063021Z",
+     "shell.execute_reply": "2024-11-05T02:51:36.062512Z"
     }
    },
    "outputs": [
@@ -6665,35 +6679,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>16318</th>\n",
+       "      <th>9819</th>\n",
        "      <td>40</td>\n",
        "      <td>#/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16376</th>\n",
+       "      <th>9891</th>\n",
        "      <td>9</td>\n",
        "      <td>#/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16385</th>\n",
+       "      <th>9900</th>\n",
        "      <td>20</td>\n",
        "      <td>#/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16533</th>\n",
+       "      <th>10080</th>\n",
        "      <td>200</td>\n",
        "      <td>#/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16697</th>\n",
+       "      <th>10274</th>\n",
        "      <td>NO DATA</td>\n",
        "      <td>#/100mL</td>\n",
        "      <td>ResultMeasureValue: \"NO DATA\" result cannot be...</td>\n",
@@ -6707,35 +6721,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>412403</th>\n",
+       "      <th>452846</th>\n",
        "      <td>2400.0</td>\n",
        "      <td>cfu/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>412405</th>\n",
+       "      <th>452848</th>\n",
        "      <td>230.0</td>\n",
        "      <td>cfu/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>412409</th>\n",
+       "      <th>452852</th>\n",
        "      <td>30.0</td>\n",
        "      <td>cfu/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>412413</th>\n",
+       "      <th>452856</th>\n",
        "      <td>NaN</td>\n",
        "      <td>cfu/100mL</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>413158</th>\n",
+       "      <th>453556</th>\n",
        "      <td>1.0</td>\n",
        "      <td>cfu/100ml</td>\n",
        "      <td>NaN</td>\n",
@@ -6748,43 +6762,43 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode  \\\n",
-       "16318                  40                       #/100mL   \n",
-       "16376                   9                       #/100mL   \n",
-       "16385                  20                       #/100mL   \n",
-       "16533                 200                       #/100mL   \n",
-       "16697             NO DATA                       #/100mL   \n",
+       "9819                   40                       #/100mL   \n",
+       "9891                    9                       #/100mL   \n",
+       "9900                   20                       #/100mL   \n",
+       "10080                 200                       #/100mL   \n",
+       "10274             NO DATA                       #/100mL   \n",
        "...                   ...                           ...   \n",
-       "412403             2400.0                     cfu/100mL   \n",
-       "412405              230.0                     cfu/100mL   \n",
-       "412409               30.0                     cfu/100mL   \n",
-       "412413                NaN                     cfu/100mL   \n",
-       "413158                1.0                     cfu/100ml   \n",
+       "452846             2400.0                     cfu/100mL   \n",
+       "452848              230.0                     cfu/100mL   \n",
+       "452852               30.0                     cfu/100mL   \n",
+       "452856                NaN                     cfu/100mL   \n",
+       "453556                1.0                     cfu/100ml   \n",
        "\n",
        "                                                  QA_flag  \\\n",
-       "16318                                                 NaN   \n",
-       "16376                                                 NaN   \n",
-       "16385                                                 NaN   \n",
-       "16533                                                 NaN   \n",
-       "16697   ResultMeasureValue: \"NO DATA\" result cannot be...   \n",
+       "9819                                                  NaN   \n",
+       "9891                                                  NaN   \n",
+       "9900                                                  NaN   \n",
+       "10080                                                 NaN   \n",
+       "10274   ResultMeasureValue: \"NO DATA\" result cannot be...   \n",
        "...                                                   ...   \n",
-       "412403                                                NaN   \n",
-       "412405                                                NaN   \n",
-       "412409                                                NaN   \n",
-       "412413           ResultMeasureValue: missing (NaN) result   \n",
-       "413158                                                NaN   \n",
+       "452846                                                NaN   \n",
+       "452848                                                NaN   \n",
+       "452852                                                NaN   \n",
+       "452856           ResultMeasureValue: missing (NaN) result   \n",
+       "453556                                                NaN   \n",
        "\n",
        "                               Fecal_Coliform  \n",
-       "16318                                     NaN  \n",
-       "16376                                     NaN  \n",
-       "16385                                     NaN  \n",
-       "16533                                     NaN  \n",
-       "16697                                     NaN  \n",
+       "9819                                      NaN  \n",
+       "9891                                      NaN  \n",
+       "9900                                      NaN  \n",
+       "10080                                     NaN  \n",
+       "10274                                     NaN  \n",
        "...                                       ...  \n",
-       "412403                                    NaN  \n",
-       "412405                                    NaN  \n",
-       "412409                                    NaN  \n",
-       "412413                                    NaN  \n",
-       "413158  1.0 Colony_Forming_Units / milliliter  \n",
+       "452846                                    NaN  \n",
+       "452848                                    NaN  \n",
+       "452852                                    NaN  \n",
+       "452856                                    NaN  \n",
+       "453556  1.0 Colony_Forming_Units / milliliter  \n",
        "\n",
        "[8224 rows x 4 columns]"
       ]
@@ -6811,10 +6825,10 @@
    "execution_count": 70,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:33.995668Z",
-     "iopub.status.busy": "2024-09-05T02:51:33.995326Z",
-     "iopub.status.idle": "2024-09-05T02:51:37.814633Z",
-     "shell.execute_reply": "2024-09-05T02:51:37.814036Z"
+     "iopub.execute_input": "2024-11-05T02:51:36.064831Z",
+     "iopub.status.busy": "2024-11-05T02:51:36.064503Z",
+     "iopub.status.idle": "2024-11-05T02:51:40.413492Z",
+     "shell.execute_reply": "2024-11-05T02:51:40.412883Z"
     }
    },
    "outputs": [
@@ -6822,7 +6836,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: '%' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'CFUcol/100mL' UNDEFINED UNIT for E_coli\n",
+      "  warn(\"WARNING: \" + problem)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: '%' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -6830,11 +6852,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -6842,7 +6864,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -6851,23 +6873,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count     1278.000000\n",
-      "mean       626.068286\n",
-      "std       3462.583347\n",
+      "count     5189.000000\n",
+      "mean       245.882382\n",
+      "std       1752.315000\n",
       "min          0.000000\n",
-      "25%         22.250000\n",
-      "50%         66.000000\n",
-      "75%        220.000000\n",
+      "25%          0.500000\n",
+      "50%         30.000000\n",
+      "75%        128.000000\n",
       "max      72000.000000\n",
       "dtype: float64\n",
       "Unusable results: 22187\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 21401.56837068052): 7\n"
+      "Results outside threshold (0.0 to 10759.772381268724): 14\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -6886,10 +6908,10 @@
    "execution_count": 71,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:37.817472Z",
-     "iopub.status.busy": "2024-09-05T02:51:37.816997Z",
-     "iopub.status.idle": "2024-09-05T02:51:37.884076Z",
-     "shell.execute_reply": "2024-09-05T02:51:37.883493Z"
+     "iopub.execute_input": "2024-11-05T02:51:40.415292Z",
+     "iopub.status.busy": "2024-11-05T02:51:40.414964Z",
+     "iopub.status.idle": "2024-11-05T02:51:40.483911Z",
+     "shell.execute_reply": "2024-11-05T02:51:40.483300Z"
     }
    },
    "outputs": [
@@ -6922,35 +6944,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
+       "      <th>6</th>\n",
        "      <td>96</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13</th>\n",
+       "      <th>17</th>\n",
        "      <td>24200</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16</th>\n",
+       "      <th>20</th>\n",
        "      <td>110</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>19</th>\n",
+       "      <th>24</th>\n",
        "      <td>52</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>24</th>\n",
+       "      <th>30</th>\n",
        "      <td>52</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
@@ -6964,35 +6986,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416585</th>\n",
+       "      <th>456983</th>\n",
        "      <td>7.0</td>\n",
        "      <td>MPN/100 ml</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.0 Colony_Forming_Units / milliliter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416598</th>\n",
+       "      <th>456996</th>\n",
        "      <td>870.0</td>\n",
        "      <td>MPN/100 ml</td>\n",
        "      <td>NaN</td>\n",
        "      <td>870.0 Colony_Forming_Units / milliliter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416602</th>\n",
+       "      <th>457000</th>\n",
        "      <td>44.0</td>\n",
        "      <td>MPN/100 ml</td>\n",
        "      <td>NaN</td>\n",
        "      <td>44.0 Colony_Forming_Units / milliliter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416606</th>\n",
+       "      <th>457004</th>\n",
        "      <td>14.0</td>\n",
        "      <td>MPN/100 ml</td>\n",
        "      <td>NaN</td>\n",
        "      <td>14.0 Colony_Forming_Units / milliliter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416610</th>\n",
+       "      <th>457008</th>\n",
        "      <td>390.0</td>\n",
        "      <td>MPN/100 ml</td>\n",
        "      <td>NaN</td>\n",
@@ -7000,37 +7022,37 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>23465 rows × 4 columns</p>\n",
+       "<p>27376 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "4                      96                     MPN/100mL     NaN   \n",
-       "13                  24200                     MPN/100mL     NaN   \n",
-       "16                    110                     MPN/100mL     NaN   \n",
-       "19                     52                     MPN/100mL     NaN   \n",
+       "6                      96                     MPN/100mL     NaN   \n",
+       "17                  24200                     MPN/100mL     NaN   \n",
+       "20                    110                     MPN/100mL     NaN   \n",
        "24                     52                     MPN/100mL     NaN   \n",
+       "30                     52                     MPN/100mL     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "416585                7.0                    MPN/100 ml     NaN   \n",
-       "416598              870.0                    MPN/100 ml     NaN   \n",
-       "416602               44.0                    MPN/100 ml     NaN   \n",
-       "416606               14.0                    MPN/100 ml     NaN   \n",
-       "416610              390.0                    MPN/100 ml     NaN   \n",
+       "456983                7.0                    MPN/100 ml     NaN   \n",
+       "456996              870.0                    MPN/100 ml     NaN   \n",
+       "457000               44.0                    MPN/100 ml     NaN   \n",
+       "457004               14.0                    MPN/100 ml     NaN   \n",
+       "457008              390.0                    MPN/100 ml     NaN   \n",
        "\n",
        "                                         E_coli  \n",
-       "4                                           NaN  \n",
-       "13                                          NaN  \n",
-       "16                                          NaN  \n",
-       "19                                          NaN  \n",
+       "6                                           NaN  \n",
+       "17                                          NaN  \n",
+       "20                                          NaN  \n",
        "24                                          NaN  \n",
+       "30                                          NaN  \n",
        "...                                         ...  \n",
-       "416585    7.0 Colony_Forming_Units / milliliter  \n",
-       "416598  870.0 Colony_Forming_Units / milliliter  \n",
-       "416602   44.0 Colony_Forming_Units / milliliter  \n",
-       "416606   14.0 Colony_Forming_Units / milliliter  \n",
-       "416610  390.0 Colony_Forming_Units / milliliter  \n",
+       "456983    7.0 Colony_Forming_Units / milliliter  \n",
+       "456996  870.0 Colony_Forming_Units / milliliter  \n",
+       "457000   44.0 Colony_Forming_Units / milliliter  \n",
+       "457004   14.0 Colony_Forming_Units / milliliter  \n",
+       "457008  390.0 Colony_Forming_Units / milliliter  \n",
        "\n",
-       "[23465 rows x 4 columns]"
+       "[27376 rows x 4 columns]"
       ]
      },
      "execution_count": 71,
@@ -7076,10 +7098,10 @@
    "execution_count": 72,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:37.886457Z",
-     "iopub.status.busy": "2024-09-05T02:51:37.886090Z",
-     "iopub.status.idle": "2024-09-05T02:51:37.888665Z",
-     "shell.execute_reply": "2024-09-05T02:51:37.888188Z"
+     "iopub.execute_input": "2024-11-05T02:51:40.485965Z",
+     "iopub.status.busy": "2024-11-05T02:51:40.485631Z",
+     "iopub.status.idle": "2024-11-05T02:51:40.488498Z",
+     "shell.execute_reply": "2024-11-05T02:51:40.487981Z"
     }
    },
    "outputs": [],
@@ -7092,10 +7114,10 @@
    "execution_count": 73,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:37.890706Z",
-     "iopub.status.busy": "2024-09-05T02:51:37.890391Z",
-     "iopub.status.idle": "2024-09-05T02:51:37.914334Z",
-     "shell.execute_reply": "2024-09-05T02:51:37.913882Z"
+     "iopub.execute_input": "2024-11-05T02:51:40.490058Z",
+     "iopub.status.busy": "2024-11-05T02:51:40.489891Z",
+     "iopub.status.idle": "2024-11-05T02:51:40.515266Z",
+     "shell.execute_reply": "2024-11-05T02:51:40.514782Z"
     }
    },
    "outputs": [
@@ -7104,8 +7126,8 @@
      "output_type": "stream",
      "text": [
       "Range: 0.0 to 4003.4828342857154\n",
-      "Results: 30755 \n",
-      "Mean: 19.334148801040765 PSU\n"
+      "Results: 36885 \n",
+      "Mean: 20.630282428521276 PSU\n"
      ]
     }
    ],
@@ -7122,10 +7144,10 @@
    "execution_count": 74,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:37.916372Z",
-     "iopub.status.busy": "2024-09-05T02:51:37.916038Z",
-     "iopub.status.idle": "2024-09-05T02:51:37.920732Z",
-     "shell.execute_reply": "2024-09-05T02:51:37.920266Z"
+     "iopub.execute_input": "2024-11-05T02:51:40.516972Z",
+     "iopub.status.busy": "2024-11-05T02:51:40.516801Z",
+     "iopub.status.idle": "2024-11-05T02:51:40.521819Z",
+     "shell.execute_reply": "2024-11-05T02:51:40.521361Z"
     }
    },
    "outputs": [
@@ -7157,10 +7179,10 @@
    "execution_count": 75,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:37.922757Z",
-     "iopub.status.busy": "2024-09-05T02:51:37.922431Z",
-     "iopub.status.idle": "2024-09-05T02:51:37.924840Z",
-     "shell.execute_reply": "2024-09-05T02:51:37.924375Z"
+     "iopub.execute_input": "2024-11-05T02:51:40.523348Z",
+     "iopub.status.busy": "2024-11-05T02:51:40.523179Z",
+     "iopub.status.idle": "2024-11-05T02:51:40.525789Z",
+     "shell.execute_reply": "2024-11-05T02:51:40.525348Z"
     }
    },
    "outputs": [],
@@ -7174,10 +7196,10 @@
    "execution_count": 76,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:37.926826Z",
-     "iopub.status.busy": "2024-09-05T02:51:37.926438Z",
-     "iopub.status.idle": "2024-09-05T02:51:48.011150Z",
-     "shell.execute_reply": "2024-09-05T02:51:48.010661Z"
+     "iopub.execute_input": "2024-11-05T02:51:40.527419Z",
+     "iopub.status.busy": "2024-11-05T02:51:40.527092Z",
+     "iopub.status.idle": "2024-11-05T02:51:51.666133Z",
+     "shell.execute_reply": "2024-11-05T02:51:51.665626Z"
     }
    },
    "outputs": [
@@ -7210,35 +7232,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>22981</th>\n",
+       "      <th>28241</th>\n",
        "      <td>804</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>804.0 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>145380</th>\n",
+       "      <th>170499</th>\n",
        "      <td>71.49</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>71.49 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>146389</th>\n",
+       "      <th>171508</th>\n",
        "      <td>70.62</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>70.62 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>178350</th>\n",
-       "      <td>77.6666666666667</td>\n",
+       "      <th>213281</th>\n",
+       "      <td>77.666667</td>\n",
        "      <td>ppt</td>\n",
        "      <td>NaN</td>\n",
        "      <td>77.6666666666667 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>382543</th>\n",
+       "      <th>423775</th>\n",
        "      <td>4980.0</td>\n",
        "      <td>mg/mL @25C</td>\n",
        "      <td>ResultTemperatureBasisText: updated from 25 de...</td>\n",
@@ -7250,25 +7272,25 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode  \\\n",
-       "22981                 804                          ppth   \n",
-       "145380              71.49                          ppth   \n",
-       "146389              70.62                          ppth   \n",
-       "178350   77.6666666666667                           ppt   \n",
-       "382543             4980.0                    mg/mL @25C   \n",
+       "28241                 804                          ppth   \n",
+       "170499              71.49                          ppth   \n",
+       "171508              70.62                          ppth   \n",
+       "213281          77.666667                           ppt   \n",
+       "423775             4980.0                    mg/mL @25C   \n",
        "\n",
        "                                                  QA_flag  \\\n",
-       "22981                                                 NaN   \n",
-       "145380                                                NaN   \n",
-       "146389                                                NaN   \n",
-       "178350                                                NaN   \n",
-       "382543  ResultTemperatureBasisText: updated from 25 de...   \n",
+       "28241                                                 NaN   \n",
+       "170499                                                NaN   \n",
+       "171508                                                NaN   \n",
+       "213281                                                NaN   \n",
+       "423775  ResultTemperatureBasisText: updated from 25 de...   \n",
        "\n",
        "                                           Salinity  \n",
-       "22981                804.0 Practical_Salinity_Units  \n",
-       "145380               71.49 Practical_Salinity_Units  \n",
-       "146389               70.62 Practical_Salinity_Units  \n",
-       "178350    77.6666666666667 Practical_Salinity_Units  \n",
-       "382543  4003.4828342857154 Practical_Salinity_Units  "
+       "28241                804.0 Practical_Salinity_Units  \n",
+       "170499               71.49 Practical_Salinity_Units  \n",
+       "171508               70.62 Practical_Salinity_Units  \n",
+       "213281    77.6666666666667 Practical_Salinity_Units  \n",
+       "423775  4003.4828342857154 Practical_Salinity_Units  "
       ]
      },
      "execution_count": 76,
@@ -7295,10 +7317,10 @@
    "execution_count": 77,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:48.013361Z",
-     "iopub.status.busy": "2024-09-05T02:51:48.013021Z",
-     "iopub.status.idle": "2024-09-05T02:51:58.983154Z",
-     "shell.execute_reply": "2024-09-05T02:51:58.982598Z"
+     "iopub.execute_input": "2024-11-05T02:51:51.668099Z",
+     "iopub.status.busy": "2024-11-05T02:51:51.667761Z",
+     "iopub.status.idle": "2024-11-05T02:52:04.532185Z",
+     "shell.execute_reply": "2024-11-05T02:52:04.531599Z"
     }
    },
    "outputs": [],
@@ -7315,10 +7337,10 @@
    "execution_count": 78,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:51:58.985389Z",
-     "iopub.status.busy": "2024-09-05T02:51:58.985208Z",
-     "iopub.status.idle": "2024-09-05T02:52:01.947190Z",
-     "shell.execute_reply": "2024-09-05T02:52:01.946595Z"
+     "iopub.execute_input": "2024-11-05T02:52:04.534174Z",
+     "iopub.status.busy": "2024-11-05T02:52:04.534001Z",
+     "iopub.status.idle": "2024-11-05T02:52:07.818221Z",
+     "shell.execute_reply": "2024-11-05T02:52:07.817741Z"
     }
    },
    "outputs": [
@@ -7355,9 +7377,9 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>10817</th>\n",
+       "      <th>13244</th>\n",
        "      <td>0</td>\n",
-       "      <td>ppm</td>\n",
+       "      <td>ppt</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
        "      <td>NaN</td>\n",
@@ -7366,9 +7388,9 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>12039</th>\n",
+       "      <th>13788</th>\n",
        "      <td>0</td>\n",
-       "      <td>ppm</td>\n",
+       "      <td>PSS</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
        "      <td>NaN</td>\n",
@@ -7377,9 +7399,9 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13335</th>\n",
+       "      <th>14011</th>\n",
        "      <td>0</td>\n",
-       "      <td>ppm</td>\n",
+       "      <td>PSS</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
        "      <td>NaN</td>\n",
@@ -7388,9 +7410,9 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>19164</th>\n",
+       "      <th>20978</th>\n",
        "      <td>0</td>\n",
-       "      <td>ppt</td>\n",
+       "      <td>ppm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
        "      <td>NaN</td>\n",
@@ -7399,9 +7421,9 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>19615</th>\n",
+       "      <th>22529</th>\n",
        "      <td>0</td>\n",
-       "      <td>PSS</td>\n",
+       "      <td>ppm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
        "      <td>NaN</td>\n",
@@ -7421,8 +7443,8 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>323504</th>\n",
-       "      <td>0.0</td>\n",
+       "      <th>357908</th>\n",
+       "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
@@ -7432,8 +7454,8 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>323598</th>\n",
-       "      <td>0.0</td>\n",
+       "      <th>358002</th>\n",
+       "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
@@ -7443,8 +7465,8 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>323652</th>\n",
-       "      <td>0.0</td>\n",
+       "      <th>358055</th>\n",
+       "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
@@ -7454,8 +7476,8 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>323657</th>\n",
-       "      <td>0.0</td>\n",
+       "      <th>358060</th>\n",
+       "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
@@ -7465,8 +7487,8 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>323682</th>\n",
-       "      <td>0.0</td>\n",
+       "      <th>358086</th>\n",
+       "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
@@ -7482,69 +7504,69 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "10817                   0                           ppm     NaN   \n",
-       "12039                   0                           ppm     NaN   \n",
-       "13335                   0                           ppm     NaN   \n",
-       "19164                   0                           ppt     NaN   \n",
-       "19615                   0                           PSS     NaN   \n",
+       "13244                   0                           ppt     NaN   \n",
+       "13788                   0                           PSS     NaN   \n",
+       "14011                   0                           PSS     NaN   \n",
+       "20978                   0                           ppm     NaN   \n",
+       "22529                   0                           ppm     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "323504                0.0                          ppth     NaN   \n",
-       "323598                0.0                          ppth     NaN   \n",
-       "323652                0.0                          ppth     NaN   \n",
-       "323657                0.0                          ppth     NaN   \n",
-       "323682                0.0                          ppth     NaN   \n",
+       "357908                  0                          ppth     NaN   \n",
+       "358002                  0                          ppth     NaN   \n",
+       "358055                  0                          ppth     NaN   \n",
+       "358060                  0                          ppth     NaN   \n",
+       "358086                  0                          ppth     NaN   \n",
        "\n",
        "                            Salinity ResultDetectionConditionText  \\\n",
-       "10817   0.0 Practical_Salinity_Units                          NaN   \n",
-       "12039   0.0 Practical_Salinity_Units                          NaN   \n",
-       "13335   0.0 Practical_Salinity_Units                          NaN   \n",
-       "19164   0.0 Practical_Salinity_Units                          NaN   \n",
-       "19615   0.0 Practical_Salinity_Units                          NaN   \n",
+       "13244   0.0 Practical_Salinity_Units                          NaN   \n",
+       "13788   0.0 Practical_Salinity_Units                          NaN   \n",
+       "14011   0.0 Practical_Salinity_Units                          NaN   \n",
+       "20978   0.0 Practical_Salinity_Units                          NaN   \n",
+       "22529   0.0 Practical_Salinity_Units                          NaN   \n",
        "...                              ...                          ...   \n",
-       "323504  0.0 Practical_Salinity_Units                          NaN   \n",
-       "323598  0.0 Practical_Salinity_Units                          NaN   \n",
-       "323652  0.0 Practical_Salinity_Units                          NaN   \n",
-       "323657  0.0 Practical_Salinity_Units                          NaN   \n",
-       "323682  0.0 Practical_Salinity_Units                          NaN   \n",
+       "357908  0.0 Practical_Salinity_Units                          NaN   \n",
+       "358002  0.0 Practical_Salinity_Units                          NaN   \n",
+       "358055  0.0 Practical_Salinity_Units                          NaN   \n",
+       "358060  0.0 Practical_Salinity_Units                          NaN   \n",
+       "358086  0.0 Practical_Salinity_Units                          NaN   \n",
        "\n",
        "       DetectionQuantitationLimitTypeName  \\\n",
-       "10817                                 NaN   \n",
-       "12039                                 NaN   \n",
-       "13335                                 NaN   \n",
-       "19164                                 NaN   \n",
-       "19615                                 NaN   \n",
+       "13244                                 NaN   \n",
+       "13788                                 NaN   \n",
+       "14011                                 NaN   \n",
+       "20978                                 NaN   \n",
+       "22529                                 NaN   \n",
        "...                                   ...   \n",
-       "323504                                NaN   \n",
-       "323598                                NaN   \n",
-       "323652                                NaN   \n",
-       "323657                                NaN   \n",
-       "323682                                NaN   \n",
+       "357908                                NaN   \n",
+       "358002                                NaN   \n",
+       "358055                                NaN   \n",
+       "358060                                NaN   \n",
+       "358086                                NaN   \n",
        "\n",
        "       DetectionQuantitationLimitMeasure/MeasureValue  \\\n",
-       "10817                                             NaN   \n",
-       "12039                                             NaN   \n",
-       "13335                                             NaN   \n",
-       "19164                                             NaN   \n",
-       "19615                                             NaN   \n",
+       "13244                                             NaN   \n",
+       "13788                                             NaN   \n",
+       "14011                                             NaN   \n",
+       "20978                                             NaN   \n",
+       "22529                                             NaN   \n",
        "...                                               ...   \n",
-       "323504                                            NaN   \n",
-       "323598                                            NaN   \n",
-       "323652                                            NaN   \n",
-       "323657                                            NaN   \n",
-       "323682                                            NaN   \n",
+       "357908                                            NaN   \n",
+       "358002                                            NaN   \n",
+       "358055                                            NaN   \n",
+       "358060                                            NaN   \n",
+       "358086                                            NaN   \n",
        "\n",
        "       DetectionQuantitationLimitMeasure/MeasureUnitCode  \n",
-       "10817                                                NaN  \n",
-       "12039                                                NaN  \n",
-       "13335                                                NaN  \n",
-       "19164                                                NaN  \n",
-       "19615                                                NaN  \n",
+       "13244                                                NaN  \n",
+       "13788                                                NaN  \n",
+       "14011                                                NaN  \n",
+       "20978                                                NaN  \n",
+       "22529                                                NaN  \n",
        "...                                                  ...  \n",
-       "323504                                               NaN  \n",
-       "323598                                               NaN  \n",
-       "323652                                               NaN  \n",
-       "323657                                               NaN  \n",
-       "323682                                               NaN  \n",
+       "357908                                               NaN  \n",
+       "358002                                               NaN  \n",
+       "358055                                               NaN  \n",
+       "358060                                               NaN  \n",
+       "358086                                               NaN  \n",
        "\n",
        "[649 rows x 8 columns]"
       ]
@@ -7571,28 +7593,28 @@
    "execution_count": 79,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:01.949437Z",
-     "iopub.status.busy": "2024-09-05T02:52:01.949099Z",
-     "iopub.status.idle": "2024-09-05T02:52:01.962660Z",
-     "shell.execute_reply": "2024-09-05T02:52:01.962221Z"
+     "iopub.execute_input": "2024-11-05T02:52:07.819910Z",
+     "iopub.status.busy": "2024-11-05T02:52:07.819740Z",
+     "iopub.status.idle": "2024-11-05T02:52:07.835255Z",
+     "shell.execute_reply": "2024-11-05T02:52:07.834811Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "18              349.0 microsiemens / centimeter\n",
-       "36              443.0 microsiemens / centimeter\n",
-       "43        67.11703531 microsiemens / centimeter\n",
-       "67              590.0 microsiemens / centimeter\n",
-       "109           418.375 microsiemens / centimeter\n",
+       "22              349.0 microsiemens / centimeter\n",
+       "23            49700.0 microsiemens / centimeter\n",
+       "44              443.0 microsiemens / centimeter\n",
+       "52        67.11703531 microsiemens / centimeter\n",
+       "73            40500.0 microsiemens / centimeter\n",
        "                          ...                  \n",
-       "310223          431.0 microsiemens / centimeter\n",
-       "310246          321.0 microsiemens / centimeter\n",
-       "310249          364.0 microsiemens / centimeter\n",
-       "310265          246.0 microsiemens / centimeter\n",
-       "310266          607.0 microsiemens / centimeter\n",
-       "Name: Conductivity, Length: 2599, dtype: object"
+       "404648        20579.0 microsiemens / centimeter\n",
+       "404698        38432.0 microsiemens / centimeter\n",
+       "404705        37791.0 microsiemens / centimeter\n",
+       "404715        40652.0 microsiemens / centimeter\n",
+       "404718        19003.0 microsiemens / centimeter\n",
+       "Name: Conductivity, Length: 8662, dtype: object"
       ]
      },
      "execution_count": 79,
@@ -7618,10 +7640,10 @@
    "execution_count": 80,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:01.964754Z",
-     "iopub.status.busy": "2024-09-05T02:52:01.964436Z",
-     "iopub.status.idle": "2024-09-05T02:52:02.310185Z",
-     "shell.execute_reply": "2024-09-05T02:52:02.309665Z"
+     "iopub.execute_input": "2024-11-05T02:52:07.836842Z",
+     "iopub.status.busy": "2024-11-05T02:52:07.836676Z",
+     "iopub.status.idle": "2024-11-05T02:52:08.452656Z",
+     "shell.execute_reply": "2024-11-05T02:52:08.452024Z"
     }
    },
    "outputs": [
@@ -7655,44 +7677,44 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>105835</th>\n",
-       "      <td>48.6</td>\n",
-       "      <td>mS/cm</td>\n",
+       "      <th>219037</th>\n",
+       "      <td>57700.0</td>\n",
+       "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>48600.0 microsiemens / centimeter</td>\n",
+       "      <td>57700.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>107360</th>\n",
-       "      <td>48.15</td>\n",
+       "      <th>270661</th>\n",
+       "      <td>52.418</td>\n",
        "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>48150.0 microsiemens / centimeter</td>\n",
+       "      <td>52418.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>69499</th>\n",
-       "      <td>48</td>\n",
+       "      <th>281035</th>\n",
+       "      <td>51.618</td>\n",
        "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>48000.0 microsiemens / centimeter</td>\n",
+       "      <td>51618.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>74291</th>\n",
-       "      <td>46.9</td>\n",
+       "      <th>268485</th>\n",
+       "      <td>51.325</td>\n",
        "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>46900.0 microsiemens / centimeter</td>\n",
+       "      <td>51325.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>106347</th>\n",
-       "      <td>46.8</td>\n",
+       "      <th>50992</th>\n",
+       "      <td>51.05</td>\n",
        "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>46800.0 microsiemens / centimeter</td>\n",
+       "      <td>51050.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -7703,31 +7725,31 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4824</th>\n",
-       "      <td>0.03</td>\n",
+       "      <th>6320</th>\n",
+       "      <td>0.02</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.03 microsiemens / centimeter</td>\n",
+       "      <td>0.02 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2738</th>\n",
-       "      <td>0.02</td>\n",
-       "      <td>uS/cm</td>\n",
+       "      <th>79212</th>\n",
+       "      <td>0</td>\n",
+       "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.02 microsiemens / centimeter</td>\n",
+       "      <td>0.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5287</th>\n",
-       "      <td>0.02</td>\n",
-       "      <td>uS/cm</td>\n",
+       "      <th>79161</th>\n",
+       "      <td>0</td>\n",
+       "      <td>mS/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.02 microsiemens / centimeter</td>\n",
+       "      <td>0.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3156</th>\n",
+       "      <th>3762</th>\n",
        "      <td>0</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7735,7 +7757,7 @@
        "      <td>0.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6715</th>\n",
+       "      <th>8042</th>\n",
        "      <td>0</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7744,37 +7766,37 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2599 rows × 5 columns</p>\n",
+       "<p>8662 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag Salinity  \\\n",
-       "105835               48.6                         mS/cm     NaN      NaN   \n",
-       "107360              48.15                         mS/cm     NaN      NaN   \n",
-       "69499                  48                         mS/cm     NaN      NaN   \n",
-       "74291                46.9                         mS/cm     NaN      NaN   \n",
-       "106347               46.8                         mS/cm     NaN      NaN   \n",
+       "219037            57700.0                         uS/cm     NaN      NaN   \n",
+       "270661             52.418                         mS/cm     NaN      NaN   \n",
+       "281035             51.618                         mS/cm     NaN      NaN   \n",
+       "268485             51.325                         mS/cm     NaN      NaN   \n",
+       "50992               51.05                         mS/cm     NaN      NaN   \n",
        "...                   ...                           ...     ...      ...   \n",
-       "4824                 0.03                         uS/cm     NaN      NaN   \n",
-       "2738                 0.02                         uS/cm     NaN      NaN   \n",
-       "5287                 0.02                         uS/cm     NaN      NaN   \n",
-       "3156                    0                         uS/cm     NaN      NaN   \n",
-       "6715                    0                         uS/cm     NaN      NaN   \n",
+       "6320                 0.02                         uS/cm     NaN      NaN   \n",
+       "79212                   0                         mS/cm     NaN      NaN   \n",
+       "79161                   0                         mS/cm     NaN      NaN   \n",
+       "3762                    0                         uS/cm     NaN      NaN   \n",
+       "8042                    0                         uS/cm     NaN      NaN   \n",
        "\n",
        "                             Conductivity  \n",
-       "105835  48600.0 microsiemens / centimeter  \n",
-       "107360  48150.0 microsiemens / centimeter  \n",
-       "69499   48000.0 microsiemens / centimeter  \n",
-       "74291   46900.0 microsiemens / centimeter  \n",
-       "106347  46800.0 microsiemens / centimeter  \n",
+       "219037  57700.0 microsiemens / centimeter  \n",
+       "270661  52418.0 microsiemens / centimeter  \n",
+       "281035  51618.0 microsiemens / centimeter  \n",
+       "268485  51325.0 microsiemens / centimeter  \n",
+       "50992   51050.0 microsiemens / centimeter  \n",
        "...                                   ...  \n",
-       "4824       0.03 microsiemens / centimeter  \n",
-       "2738       0.02 microsiemens / centimeter  \n",
-       "5287       0.02 microsiemens / centimeter  \n",
-       "3156        0.0 microsiemens / centimeter  \n",
-       "6715        0.0 microsiemens / centimeter  \n",
+       "6320       0.02 microsiemens / centimeter  \n",
+       "79212       0.0 microsiemens / centimeter  \n",
+       "79161       0.0 microsiemens / centimeter  \n",
+       "3762        0.0 microsiemens / centimeter  \n",
+       "8042        0.0 microsiemens / centimeter  \n",
        "\n",
-       "[2599 rows x 5 columns]"
+       "[8662 rows x 5 columns]"
       ]
      },
      "execution_count": 80,
@@ -7794,28 +7816,28 @@
    "execution_count": 81,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:02.312329Z",
-     "iopub.status.busy": "2024-09-05T02:52:02.311984Z",
-     "iopub.status.idle": "2024-09-05T02:52:03.055608Z",
-     "shell.execute_reply": "2024-09-05T02:52:03.055020Z"
+     "iopub.execute_input": "2024-11-05T02:52:08.454404Z",
+     "iopub.status.busy": "2024-11-05T02:52:08.454212Z",
+     "iopub.status.idle": "2024-11-05T02:52:10.853392Z",
+     "shell.execute_reply": "2024-11-05T02:52:10.852844Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "105835    31.712 dimensionless\n",
-       "107360    31.384 dimensionless\n",
-       "69499     31.274 dimensionless\n",
-       "74291     30.474 dimensionless\n",
-       "106347    30.401 dimensionless\n",
+       "219037    38.468 dimensionless\n",
+       "270661    34.521 dimensionless\n",
+       "281035    33.929 dimensionless\n",
+       "268485    33.713 dimensionless\n",
+       "50992      33.51 dimensionless\n",
        "                  ...         \n",
-       "4824       0.012 dimensionless\n",
-       "2738       0.012 dimensionless\n",
-       "5287       0.012 dimensionless\n",
-       "3156       0.012 dimensionless\n",
-       "6715       0.012 dimensionless\n",
-       "Name: Salinity, Length: 2599, dtype: object"
+       "6320       0.012 dimensionless\n",
+       "79212      0.012 dimensionless\n",
+       "79161      0.012 dimensionless\n",
+       "3762       0.012 dimensionless\n",
+       "8042       0.012 dimensionless\n",
+       "Name: Salinity, Length: 8662, dtype: object"
       ]
      },
      "execution_count": 81,
@@ -7849,10 +7871,10 @@
    "execution_count": 82,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:03.057920Z",
-     "iopub.status.busy": "2024-09-05T02:52:03.057561Z",
-     "iopub.status.idle": "2024-09-05T02:52:03.067829Z",
-     "shell.execute_reply": "2024-09-05T02:52:03.067382Z"
+     "iopub.execute_input": "2024-11-05T02:52:10.855351Z",
+     "iopub.status.busy": "2024-11-05T02:52:10.855015Z",
+     "iopub.status.idle": "2024-11-05T02:52:10.865914Z",
+     "shell.execute_reply": "2024-11-05T02:52:10.865469Z"
     }
    },
    "outputs": [
@@ -7884,34 +7906,34 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>105835</th>\n",
-       "      <td>2007-08-23</td>\n",
-       "      <td>09:23:00</td>\n",
-       "      <td>EST</td>\n",
+       "      <th>219037</th>\n",
+       "      <td>2021-06-21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>107360</th>\n",
-       "      <td>2007-08-09</td>\n",
-       "      <td>08:14:00</td>\n",
+       "      <th>270661</th>\n",
+       "      <td>2022-08-09</td>\n",
+       "      <td>12:58:00</td>\n",
        "      <td>EST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>69499</th>\n",
-       "      <td>2006-08-21</td>\n",
-       "      <td>11:50:00</td>\n",
+       "      <th>281035</th>\n",
+       "      <td>2022-08-09</td>\n",
+       "      <td>13:25:00</td>\n",
        "      <td>EST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>74291</th>\n",
-       "      <td>2006-08-07</td>\n",
-       "      <td>10:00:00</td>\n",
+       "      <th>268485</th>\n",
+       "      <td>2022-07-25</td>\n",
+       "      <td>11:40:00</td>\n",
        "      <td>EST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>106347</th>\n",
-       "      <td>2007-08-09</td>\n",
-       "      <td>10:20:00</td>\n",
-       "      <td>EST</td>\n",
+       "      <th>50992</th>\n",
+       "      <td>2016-08-15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -7920,55 +7942,55 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416607</th>\n",
+       "      <th>457005</th>\n",
        "      <td>2024-01-08</td>\n",
        "      <td>12:00:00</td>\n",
        "      <td>EST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416608</th>\n",
+       "      <th>457006</th>\n",
        "      <td>2024-02-12</td>\n",
        "      <td>08:45:00</td>\n",
        "      <td>EST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416609</th>\n",
+       "      <th>457007</th>\n",
        "      <td>2024-02-12</td>\n",
        "      <td>08:45:00</td>\n",
        "      <td>EST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416610</th>\n",
+       "      <th>457008</th>\n",
        "      <td>2024-02-12</td>\n",
        "      <td>08:45:00</td>\n",
        "      <td>EST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416611</th>\n",
+       "      <th>457009</th>\n",
        "      <td>2024-02-12</td>\n",
        "      <td>08:45:00</td>\n",
        "      <td>EST</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>416612 rows × 3 columns</p>\n",
+       "<p>457010 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ActivityStartDate ActivityStartTime/Time ActivityStartTime/TimeZoneCode\n",
-       "105835        2007-08-23               09:23:00                            EST\n",
-       "107360        2007-08-09               08:14:00                            EST\n",
-       "69499         2006-08-21               11:50:00                            EST\n",
-       "74291         2006-08-07               10:00:00                            EST\n",
-       "106347        2007-08-09               10:20:00                            EST\n",
+       "219037        2021-06-21                    NaN                            NaN\n",
+       "270661        2022-08-09               12:58:00                            EST\n",
+       "281035        2022-08-09               13:25:00                            EST\n",
+       "268485        2022-07-25               11:40:00                            EST\n",
+       "50992         2016-08-15                    NaN                            NaN\n",
        "...                  ...                    ...                            ...\n",
-       "416607        2024-01-08               12:00:00                            EST\n",
-       "416608        2024-02-12               08:45:00                            EST\n",
-       "416609        2024-02-12               08:45:00                            EST\n",
-       "416610        2024-02-12               08:45:00                            EST\n",
-       "416611        2024-02-12               08:45:00                            EST\n",
+       "457005        2024-01-08               12:00:00                            EST\n",
+       "457006        2024-02-12               08:45:00                            EST\n",
+       "457007        2024-02-12               08:45:00                            EST\n",
+       "457008        2024-02-12               08:45:00                            EST\n",
+       "457009        2024-02-12               08:45:00                            EST\n",
        "\n",
-       "[416612 rows x 3 columns]"
+       "[457010 rows x 3 columns]"
       ]
      },
      "execution_count": 82,
@@ -7987,10 +8009,10 @@
    "execution_count": 83,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:03.069851Z",
-     "iopub.status.busy": "2024-09-05T02:52:03.069499Z",
-     "iopub.status.idle": "2024-09-05T02:52:05.580155Z",
-     "shell.execute_reply": "2024-09-05T02:52:05.579658Z"
+     "iopub.execute_input": "2024-11-05T02:52:10.867839Z",
+     "iopub.status.busy": "2024-11-05T02:52:10.867482Z",
+     "iopub.status.idle": "2024-11-05T02:52:12.622247Z",
+     "shell.execute_reply": "2024-11-05T02:52:12.621681Z"
     }
    },
    "outputs": [
@@ -7998,7 +8020,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 132776 incomplete dates found, consider setting datetime_index to False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 167291 incomplete dates found, consider setting datetime_index to False.\n",
       "  warnings.warn(\n"
      ]
     },
@@ -8029,29 +8051,29 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>105835</th>\n",
-       "      <td>2007-08-23</td>\n",
-       "      <td>2007-08-23 14:23:00+00:00</td>\n",
+       "      <th>219037</th>\n",
+       "      <td>2021-06-21</td>\n",
+       "      <td>NaT</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>107360</th>\n",
-       "      <td>2007-08-09</td>\n",
-       "      <td>2007-08-09 13:14:00+00:00</td>\n",
+       "      <th>270661</th>\n",
+       "      <td>2022-08-09</td>\n",
+       "      <td>2022-08-09 17:58:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>69499</th>\n",
-       "      <td>2006-08-21</td>\n",
-       "      <td>2006-08-21 16:50:00+00:00</td>\n",
+       "      <th>281035</th>\n",
+       "      <td>2022-08-09</td>\n",
+       "      <td>2022-08-09 18:25:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>74291</th>\n",
-       "      <td>2006-08-07</td>\n",
-       "      <td>2006-08-07 15:00:00+00:00</td>\n",
+       "      <th>268485</th>\n",
+       "      <td>2022-07-25</td>\n",
+       "      <td>2022-07-25 16:40:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>106347</th>\n",
-       "      <td>2007-08-09</td>\n",
-       "      <td>2007-08-09 15:20:00+00:00</td>\n",
+       "      <th>50992</th>\n",
+       "      <td>2016-08-15</td>\n",
+       "      <td>NaT</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -8059,50 +8081,50 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416607</th>\n",
+       "      <th>457005</th>\n",
        "      <td>2024-01-08</td>\n",
        "      <td>2024-01-08 17:00:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416608</th>\n",
+       "      <th>457006</th>\n",
        "      <td>2024-02-12</td>\n",
        "      <td>2024-02-12 13:45:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416609</th>\n",
+       "      <th>457007</th>\n",
        "      <td>2024-02-12</td>\n",
        "      <td>2024-02-12 13:45:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416610</th>\n",
+       "      <th>457008</th>\n",
        "      <td>2024-02-12</td>\n",
        "      <td>2024-02-12 13:45:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416611</th>\n",
+       "      <th>457009</th>\n",
        "      <td>2024-02-12</td>\n",
        "      <td>2024-02-12 13:45:00+00:00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>416612 rows × 2 columns</p>\n",
+       "<p>457010 rows × 2 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ActivityStartDate         Activity_datetime\n",
-       "105835        2007-08-23 2007-08-23 14:23:00+00:00\n",
-       "107360        2007-08-09 2007-08-09 13:14:00+00:00\n",
-       "69499         2006-08-21 2006-08-21 16:50:00+00:00\n",
-       "74291         2006-08-07 2006-08-07 15:00:00+00:00\n",
-       "106347        2007-08-09 2007-08-09 15:20:00+00:00\n",
+       "219037        2021-06-21                       NaT\n",
+       "270661        2022-08-09 2022-08-09 17:58:00+00:00\n",
+       "281035        2022-08-09 2022-08-09 18:25:00+00:00\n",
+       "268485        2022-07-25 2022-07-25 16:40:00+00:00\n",
+       "50992         2016-08-15                       NaT\n",
        "...                  ...                       ...\n",
-       "416607        2024-01-08 2024-01-08 17:00:00+00:00\n",
-       "416608        2024-02-12 2024-02-12 13:45:00+00:00\n",
-       "416609        2024-02-12 2024-02-12 13:45:00+00:00\n",
-       "416610        2024-02-12 2024-02-12 13:45:00+00:00\n",
-       "416611        2024-02-12 2024-02-12 13:45:00+00:00\n",
+       "457005        2024-01-08 2024-01-08 17:00:00+00:00\n",
+       "457006        2024-02-12 2024-02-12 13:45:00+00:00\n",
+       "457007        2024-02-12 2024-02-12 13:45:00+00:00\n",
+       "457008        2024-02-12 2024-02-12 13:45:00+00:00\n",
+       "457009        2024-02-12 2024-02-12 13:45:00+00:00\n",
        "\n",
-       "[416612 rows x 2 columns]"
+       "[457010 rows x 2 columns]"
       ]
      },
      "execution_count": 83,
@@ -8142,27 +8164,27 @@
    "execution_count": 84,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:05.582439Z",
-     "iopub.status.busy": "2024-09-05T02:52:05.582097Z",
-     "iopub.status.idle": "2024-09-05T02:52:06.270660Z",
-     "shell.execute_reply": "2024-09-05T02:52:06.270069Z"
+     "iopub.execute_input": "2024-11-05T02:52:12.624326Z",
+     "iopub.status.busy": "2024-11-05T02:52:12.623976Z",
+     "iopub.status.idle": "2024-11-05T02:52:13.117577Z",
+     "shell.execute_reply": "2024-11-05T02:52:13.117008Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "105835    0.15\n",
-       "107360    0.15\n",
-       "69499     0.15\n",
-       "74291     0.15\n",
-       "106347    0.15\n",
+       "126083    0.15\n",
+       "127608    0.15\n",
+       "85180     0.15\n",
+       "89973     0.15\n",
+       "126595    0.15\n",
        "          ... \n",
-       "282332    0.15\n",
-       "282381    0.15\n",
-       "282388    0.15\n",
-       "282416    0.15\n",
-       "282452    0.15\n",
+       "320467    0.15\n",
+       "320516    0.15\n",
+       "320523    0.15\n",
+       "320551    0.15\n",
+       "320587    0.15\n",
        "Name: ResultDepthHeightMeasure/MeasureValue, Length: 2460, dtype: float64"
       ]
      },
@@ -8190,10 +8212,10 @@
    "execution_count": 85,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:06.272806Z",
-     "iopub.status.busy": "2024-09-05T02:52:06.272485Z",
-     "iopub.status.idle": "2024-09-05T02:52:11.087148Z",
-     "shell.execute_reply": "2024-09-05T02:52:11.086614Z"
+     "iopub.execute_input": "2024-11-05T02:52:13.119538Z",
+     "iopub.status.busy": "2024-11-05T02:52:13.119197Z",
+     "iopub.status.idle": "2024-11-05T02:52:18.484736Z",
+     "shell.execute_reply": "2024-11-05T02:52:18.484123Z"
     }
    },
    "outputs": [
@@ -8229,29 +8251,29 @@
        "      <th>DataLoggerLine</th>\n",
        "      <th>ResultDetectionConditionText</th>\n",
        "      <th>...</th>\n",
-       "      <th>QA_Secchi</th>\n",
-       "      <th>QA_Temperature</th>\n",
-       "      <th>QA_Nitrogen</th>\n",
-       "      <th>QA_TP_Phosphorus</th>\n",
-       "      <th>QA_TDP_Phosphorus</th>\n",
        "      <th>QA_Other_Phosphorus</th>\n",
-       "      <th>QA_Turbidity</th>\n",
+       "      <th>QA_pH</th>\n",
+       "      <th>QA_E_coli</th>\n",
        "      <th>QA_Carbon</th>\n",
-       "      <th>QA_Conductivity</th>\n",
+       "      <th>QA_Temperature</th>\n",
+       "      <th>QA_Salinity</th>\n",
+       "      <th>QA_Secchi</th>\n",
+       "      <th>QA_Sediment</th>\n",
+       "      <th>QA_Fecal_Coliform</th>\n",
        "      <th>QA_Chlorophyll</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>105835</th>\n",
-       "      <td>WWMD_VA</td>\n",
-       "      <td>WQX Test Organization</td>\n",
-       "      <td>WWMD_VA-BI1:20070823092300:SO:1.5:WB</td>\n",
-       "      <td>2007-08-23</td>\n",
-       "      <td>09:23:00</td>\n",
-       "      <td>-0500</td>\n",
-       "      <td>WWMD_VA-BI1</td>\n",
-       "      <td>STORET-1013198907</td>\n",
+       "      <th>219037</th>\n",
+       "      <td>NARS_WQX</td>\n",
+       "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
+       "      <td>NARS_WQX-185450_2021</td>\n",
+       "      <td>2021-06-21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NARS_WQX-NWC_RI-10033</td>\n",
+       "      <td>STORET-1040684142</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -8267,15 +8289,15 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>107360</th>\n",
-       "      <td>WWMD_VA</td>\n",
-       "      <td>WQX Test Organization</td>\n",
-       "      <td>WWMD_VA-BI1:20070809081400:SO:1.7:WB</td>\n",
-       "      <td>2007-08-09</td>\n",
-       "      <td>08:14:00</td>\n",
+       "      <th>270661</th>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-P3:20220809125800:FM:B</td>\n",
+       "      <td>2022-08-09</td>\n",
+       "      <td>12:58:00</td>\n",
        "      <td>-0500</td>\n",
-       "      <td>WWMD_VA-BI1</td>\n",
-       "      <td>STORET-1013198861</td>\n",
+       "      <td>WTGHA-P3</td>\n",
+       "      <td>STORET-1041330082</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -8291,15 +8313,15 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>69499</th>\n",
-       "      <td>WWMD_VA</td>\n",
-       "      <td>WQX Test Organization</td>\n",
-       "      <td>WWMD_VA-SR6A:20060821115000:SO:0.8:WB</td>\n",
-       "      <td>2006-08-21</td>\n",
-       "      <td>11:50:00</td>\n",
+       "      <th>281035</th>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-P4:20220809132500:FM:B</td>\n",
+       "      <td>2022-08-09</td>\n",
+       "      <td>13:25:00</td>\n",
        "      <td>-0500</td>\n",
-       "      <td>WWMD_VA-SR6A</td>\n",
-       "      <td>STORET-1013198845</td>\n",
+       "      <td>WTGHA-P4</td>\n",
+       "      <td>STORET-1041330098</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -8315,15 +8337,15 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>74291</th>\n",
-       "      <td>WWMD_VA</td>\n",
-       "      <td>WQX Test Organization</td>\n",
-       "      <td>WWMD_VA-OB6:20060807100000:SO:1.7:WB</td>\n",
-       "      <td>2006-08-07</td>\n",
-       "      <td>10:00:00</td>\n",
+       "      <th>268485</th>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-P3:20220725114000:FM:B</td>\n",
+       "      <td>2022-07-25</td>\n",
+       "      <td>11:40:00</td>\n",
        "      <td>-0500</td>\n",
-       "      <td>WWMD_VA-OB6</td>\n",
-       "      <td>STORET-1013198765</td>\n",
+       "      <td>WTGHA-P3</td>\n",
+       "      <td>STORET-1041329903</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -8339,15 +8361,15 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>106347</th>\n",
-       "      <td>WWMD_VA</td>\n",
-       "      <td>WQX Test Organization</td>\n",
-       "      <td>WWMD_VA-LT1N:20070809102000:SO:0.75:WB</td>\n",
-       "      <td>2007-08-09</td>\n",
-       "      <td>10:20:00</td>\n",
-       "      <td>-0500</td>\n",
-       "      <td>WWMD_VA-LT1N</td>\n",
-       "      <td>STORET-1013198891</td>\n",
+       "      <th>50992</th>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-P3:20160815:FM:B</td>\n",
+       "      <td>2016-08-15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>WTGHA-P3</td>\n",
+       "      <td>STORET-1041309861</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -8387,7 +8409,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416607</th>\n",
+       "      <th>457005</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400495</td>\n",
@@ -8411,7 +8433,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416608</th>\n",
+       "      <th>457006</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -8435,7 +8457,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416609</th>\n",
+       "      <th>457007</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -8459,7 +8481,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416610</th>\n",
+       "      <th>457008</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -8483,7 +8505,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416611</th>\n",
+       "      <th>457009</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -8508,102 +8530,89 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>380739 rows × 118 columns</p>\n",
+       "<p>418942 rows × 118 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "       OrganizationIdentifier                   OrganizationFormalName  \\\n",
-       "105835                WWMD_VA                    WQX Test Organization   \n",
-       "107360                WWMD_VA                    WQX Test Organization   \n",
-       "69499                 WWMD_VA                    WQX Test Organization   \n",
-       "74291                 WWMD_VA                    WQX Test Organization   \n",
-       "106347                WWMD_VA                    WQX Test Organization   \n",
-       "...                       ...                                      ...   \n",
-       "416607                USGS-MA  USGS Massachusetts Water Science Center   \n",
-       "416608                USGS-MA  USGS Massachusetts Water Science Center   \n",
-       "416609                USGS-MA  USGS Massachusetts Water Science Center   \n",
-       "416610                USGS-MA  USGS Massachusetts Water Science Center   \n",
-       "416611                USGS-MA  USGS Massachusetts Water Science Center   \n",
-       "\n",
-       "                            ActivityIdentifier ActivityStartDate  \\\n",
-       "105835    WWMD_VA-BI1:20070823092300:SO:1.5:WB        2007-08-23   \n",
-       "107360    WWMD_VA-BI1:20070809081400:SO:1.7:WB        2007-08-09   \n",
-       "69499    WWMD_VA-SR6A:20060821115000:SO:0.8:WB        2006-08-21   \n",
-       "74291     WWMD_VA-OB6:20060807100000:SO:1.7:WB        2006-08-07   \n",
-       "106347  WWMD_VA-LT1N:20070809102000:SO:0.75:WB        2007-08-09   \n",
-       "...                                        ...               ...   \n",
-       "416607                      nwisma.01.02400495        2024-01-08   \n",
-       "416608                      nwisma.01.02400639        2024-02-12   \n",
-       "416609                      nwisma.01.02400639        2024-02-12   \n",
-       "416610                      nwisma.01.02400639        2024-02-12   \n",
-       "416611                      nwisma.01.02400639        2024-02-12   \n",
-       "\n",
-       "       ActivityStartTime/Time ActivityStartTime/TimeZoneCode  \\\n",
-       "105835               09:23:00                          -0500   \n",
-       "107360               08:14:00                          -0500   \n",
-       "69499                11:50:00                          -0500   \n",
-       "74291                10:00:00                          -0500   \n",
-       "106347               10:20:00                          -0500   \n",
-       "...                       ...                            ...   \n",
-       "416607               12:00:00                          -0500   \n",
-       "416608               08:45:00                          -0500   \n",
-       "416609               08:45:00                          -0500   \n",
-       "416610               08:45:00                          -0500   \n",
-       "416611               08:45:00                          -0500   \n",
-       "\n",
-       "       MonitoringLocationIdentifier   ResultIdentifier DataLoggerLine  \\\n",
-       "105835                  WWMD_VA-BI1  STORET-1013198907            NaN   \n",
-       "107360                  WWMD_VA-BI1  STORET-1013198861            NaN   \n",
-       "69499                  WWMD_VA-SR6A  STORET-1013198845            NaN   \n",
-       "74291                   WWMD_VA-OB6  STORET-1013198765            NaN   \n",
-       "106347                 WWMD_VA-LT1N  STORET-1013198891            NaN   \n",
-       "...                             ...                ...            ...   \n",
-       "416607                USGS-01098530     NWIS-126836828            NaN   \n",
-       "416608                USGS-01097050     NWIS-126989046            NaN   \n",
-       "416609                USGS-01097050     NWIS-126989056            NaN   \n",
-       "416610                USGS-01097050     NWIS-126989063            NaN   \n",
-       "416611                USGS-01097050     NWIS-126989064            NaN   \n",
-       "\n",
-       "       ResultDetectionConditionText  ... QA_Secchi QA_Temperature QA_Nitrogen  \\\n",
-       "105835                          NaN  ...       NaN            NaN         NaN   \n",
-       "107360                          NaN  ...       NaN            NaN         NaN   \n",
-       "69499                           NaN  ...       NaN            NaN         NaN   \n",
-       "74291                           NaN  ...       NaN            NaN         NaN   \n",
-       "106347                          NaN  ...       NaN            NaN         NaN   \n",
-       "...                             ...  ...       ...            ...         ...   \n",
-       "416607                          NaN  ...       NaN            NaN         NaN   \n",
-       "416608                          NaN  ...       NaN            NaN         NaN   \n",
-       "416609                          NaN  ...       NaN            NaN         NaN   \n",
-       "416610                          NaN  ...       NaN            NaN         NaN   \n",
-       "416611                          NaN  ...       NaN            NaN         NaN   \n",
-       "\n",
-       "       QA_TP_Phosphorus QA_TDP_Phosphorus QA_Other_Phosphorus QA_Turbidity  \\\n",
-       "105835              NaN               NaN                 NaN          NaN   \n",
-       "107360              NaN               NaN                 NaN          NaN   \n",
-       "69499               NaN               NaN                 NaN          NaN   \n",
-       "74291               NaN               NaN                 NaN          NaN   \n",
-       "106347              NaN               NaN                 NaN          NaN   \n",
-       "...                 ...               ...                 ...          ...   \n",
-       "416607              NaN               NaN                 NaN          NaN   \n",
-       "416608              NaN               NaN                 NaN          NaN   \n",
-       "416609              NaN               NaN                 NaN          NaN   \n",
-       "416610              NaN               NaN                 NaN          NaN   \n",
-       "416611              NaN               NaN                 NaN          NaN   \n",
-       "\n",
-       "       QA_Carbon QA_Conductivity QA_Chlorophyll  \n",
-       "105835       NaN             NaN            NaN  \n",
-       "107360       NaN             NaN            NaN  \n",
-       "69499        NaN             NaN            NaN  \n",
-       "74291        NaN             NaN            NaN  \n",
-       "106347       NaN             NaN            NaN  \n",
-       "...          ...             ...            ...  \n",
-       "416607       NaN             NaN            NaN  \n",
-       "416608       NaN             NaN            NaN  \n",
-       "416609       NaN             NaN            NaN  \n",
-       "416610       NaN             NaN            NaN  \n",
-       "416611       NaN             NaN            NaN  \n",
-       "\n",
-       "[380739 rows x 118 columns]"
+       "       OrganizationIdentifier                         OrganizationFormalName  \\\n",
+       "219037               NARS_WQX   EPA National Aquatic Resources Survey (NARS)   \n",
+       "270661                  WTGHA  Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "281035                  WTGHA  Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "268485                  WTGHA  Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "50992                   WTGHA  Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "...                       ...                                            ...   \n",
+       "457005                USGS-MA        USGS Massachusetts Water Science Center   \n",
+       "457006                USGS-MA        USGS Massachusetts Water Science Center   \n",
+       "457007                USGS-MA        USGS Massachusetts Water Science Center   \n",
+       "457008                USGS-MA        USGS Massachusetts Water Science Center   \n",
+       "457009                USGS-MA        USGS Massachusetts Water Science Center   \n",
+       "\n",
+       "                  ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
+       "219037          NARS_WQX-185450_2021        2021-06-21                    NaN   \n",
+       "270661  WTGHA-P3:20220809125800:FM:B        2022-08-09               12:58:00   \n",
+       "281035  WTGHA-P4:20220809132500:FM:B        2022-08-09               13:25:00   \n",
+       "268485  WTGHA-P3:20220725114000:FM:B        2022-07-25               11:40:00   \n",
+       "50992         WTGHA-P3:20160815:FM:B        2016-08-15                    NaN   \n",
+       "...                              ...               ...                    ...   \n",
+       "457005            nwisma.01.02400495        2024-01-08               12:00:00   \n",
+       "457006            nwisma.01.02400639        2024-02-12               08:45:00   \n",
+       "457007            nwisma.01.02400639        2024-02-12               08:45:00   \n",
+       "457008            nwisma.01.02400639        2024-02-12               08:45:00   \n",
+       "457009            nwisma.01.02400639        2024-02-12               08:45:00   \n",
+       "\n",
+       "       ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier  \\\n",
+       "219037                            NaN        NARS_WQX-NWC_RI-10033   \n",
+       "270661                          -0500                     WTGHA-P3   \n",
+       "281035                          -0500                     WTGHA-P4   \n",
+       "268485                          -0500                     WTGHA-P3   \n",
+       "50992                             NaN                     WTGHA-P3   \n",
+       "...                               ...                          ...   \n",
+       "457005                          -0500                USGS-01098530   \n",
+       "457006                          -0500                USGS-01097050   \n",
+       "457007                          -0500                USGS-01097050   \n",
+       "457008                          -0500                USGS-01097050   \n",
+       "457009                          -0500                USGS-01097050   \n",
+       "\n",
+       "         ResultIdentifier DataLoggerLine ResultDetectionConditionText  ...  \\\n",
+       "219037  STORET-1040684142            NaN                          NaN  ...   \n",
+       "270661  STORET-1041330082            NaN                          NaN  ...   \n",
+       "281035  STORET-1041330098            NaN                          NaN  ...   \n",
+       "268485  STORET-1041329903            NaN                          NaN  ...   \n",
+       "50992   STORET-1041309861            NaN                          NaN  ...   \n",
+       "...                   ...            ...                          ...  ...   \n",
+       "457005     NWIS-126836828            NaN                          NaN  ...   \n",
+       "457006     NWIS-126989046            NaN                          NaN  ...   \n",
+       "457007     NWIS-126989056            NaN                          NaN  ...   \n",
+       "457008     NWIS-126989063            NaN                          NaN  ...   \n",
+       "457009     NWIS-126989064            NaN                          NaN  ...   \n",
+       "\n",
+       "       QA_Other_Phosphorus QA_pH QA_E_coli QA_Carbon QA_Temperature  \\\n",
+       "219037                 NaN   NaN       NaN       NaN            NaN   \n",
+       "270661                 NaN   NaN       NaN       NaN            NaN   \n",
+       "281035                 NaN   NaN       NaN       NaN            NaN   \n",
+       "268485                 NaN   NaN       NaN       NaN            NaN   \n",
+       "50992                  NaN   NaN       NaN       NaN            NaN   \n",
+       "...                    ...   ...       ...       ...            ...   \n",
+       "457005                 NaN   NaN       NaN       NaN            NaN   \n",
+       "457006                 NaN   NaN       NaN       NaN            NaN   \n",
+       "457007                 NaN   NaN       NaN       NaN            NaN   \n",
+       "457008                 NaN   NaN       NaN       NaN            NaN   \n",
+       "457009                 NaN   NaN       NaN       NaN            NaN   \n",
+       "\n",
+       "       QA_Salinity QA_Secchi QA_Sediment QA_Fecal_Coliform QA_Chlorophyll  \n",
+       "219037         NaN       NaN         NaN               NaN            NaN  \n",
+       "270661         NaN       NaN         NaN               NaN            NaN  \n",
+       "281035         NaN       NaN         NaN               NaN            NaN  \n",
+       "268485         NaN       NaN         NaN               NaN            NaN  \n",
+       "50992          NaN       NaN         NaN               NaN            NaN  \n",
+       "...            ...       ...         ...               ...            ...  \n",
+       "457005         NaN       NaN         NaN               NaN            NaN  \n",
+       "457006         NaN       NaN         NaN               NaN            NaN  \n",
+       "457007         NaN       NaN         NaN               NaN            NaN  \n",
+       "457008         NaN       NaN         NaN               NaN            NaN  \n",
+       "457009         NaN       NaN         NaN               NaN            NaN  \n",
+       "\n",
+       "[418942 rows x 118 columns]"
       ]
      },
      "execution_count": 85,
@@ -8622,10 +8631,10 @@
    "execution_count": 86,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:11.089300Z",
-     "iopub.status.busy": "2024-09-05T02:52:11.088962Z",
-     "iopub.status.idle": "2024-09-05T02:52:11.092221Z",
-     "shell.execute_reply": "2024-09-05T02:52:11.091774Z"
+     "iopub.execute_input": "2024-11-05T02:52:18.486573Z",
+     "iopub.status.busy": "2024-11-05T02:52:18.486233Z",
+     "iopub.status.idle": "2024-11-05T02:52:18.489067Z",
+     "shell.execute_reply": "2024-11-05T02:52:18.488621Z"
     }
    },
    "outputs": [
@@ -8647,10 +8656,10 @@
    "execution_count": 87,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:11.094143Z",
-     "iopub.status.busy": "2024-09-05T02:52:11.093827Z",
-     "iopub.status.idle": "2024-09-05T02:52:11.096903Z",
-     "shell.execute_reply": "2024-09-05T02:52:11.096449Z"
+     "iopub.execute_input": "2024-11-05T02:52:18.490635Z",
+     "iopub.status.busy": "2024-11-05T02:52:18.490388Z",
+     "iopub.status.idle": "2024-11-05T02:52:18.493590Z",
+     "shell.execute_reply": "2024-11-05T02:52:18.493142Z"
     }
    },
    "outputs": [
@@ -8658,7 +8667,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "35873 fewer rows\n"
+      "38068 fewer rows\n"
      ]
     }
    ],
@@ -8672,10 +8681,10 @@
    "execution_count": 88,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:11.098935Z",
-     "iopub.status.busy": "2024-09-05T02:52:11.098621Z",
-     "iopub.status.idle": "2024-09-05T02:52:11.658799Z",
-     "shell.execute_reply": "2024-09-05T02:52:11.658205Z"
+     "iopub.execute_input": "2024-11-05T02:52:18.495172Z",
+     "iopub.status.busy": "2024-11-05T02:52:18.494852Z",
+     "iopub.status.idle": "2024-11-05T02:52:19.097563Z",
+     "shell.execute_reply": "2024-11-05T02:52:19.097060Z"
     }
    },
    "outputs": [
@@ -8740,10 +8749,10 @@
    "execution_count": 89,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:11.661093Z",
-     "iopub.status.busy": "2024-09-05T02:52:11.660753Z",
-     "iopub.status.idle": "2024-09-05T02:52:11.964279Z",
-     "shell.execute_reply": "2024-09-05T02:52:11.963725Z"
+     "iopub.execute_input": "2024-11-05T02:52:19.099353Z",
+     "iopub.status.busy": "2024-11-05T02:52:19.099048Z",
+     "iopub.status.idle": "2024-11-05T02:52:19.439266Z",
+     "shell.execute_reply": "2024-11-05T02:52:19.438632Z"
     }
    },
    "outputs": [],
@@ -8757,10 +8766,10 @@
    "execution_count": 90,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:11.966745Z",
-     "iopub.status.busy": "2024-09-05T02:52:11.966404Z",
-     "iopub.status.idle": "2024-09-05T02:52:11.970214Z",
-     "shell.execute_reply": "2024-09-05T02:52:11.969762Z"
+     "iopub.execute_input": "2024-11-05T02:52:19.441357Z",
+     "iopub.status.busy": "2024-11-05T02:52:19.441181Z",
+     "iopub.status.idle": "2024-11-05T02:52:19.444979Z",
+     "shell.execute_reply": "2024-11-05T02:52:19.444537Z"
     }
    },
    "outputs": [
@@ -8776,11 +8785,11 @@
        "       'E_coli', 'DetectionQuantitationLimitTypeName',\n",
        "       'DetectionQuantitationLimitMeasure/MeasureValue',\n",
        "       'DetectionQuantitationLimitMeasure/MeasureUnitCode',\n",
-       "       'Activity_datetime', 'Depth', 'QA_pH', 'QA_E_coli', 'QA_Salinity',\n",
-       "       'QA_Fecal_Coliform', 'QA_Sediment', 'QA_DO', 'QA_Secchi',\n",
-       "       'QA_Temperature', 'QA_Nitrogen', 'QA_TP_Phosphorus',\n",
-       "       'QA_TDP_Phosphorus', 'QA_Other_Phosphorus', 'QA_Turbidity', 'QA_Carbon',\n",
-       "       'QA_Conductivity', 'QA_Chlorophyll'],\n",
+       "       'Activity_datetime', 'Depth', 'QA_Nitrogen', 'QA_Turbidity',\n",
+       "       'QA_Conductivity', 'QA_DO', 'QA_TP_Phosphorus', 'QA_TDP_Phosphorus',\n",
+       "       'QA_Other_Phosphorus', 'QA_pH', 'QA_E_coli', 'QA_Carbon',\n",
+       "       'QA_Temperature', 'QA_Salinity', 'QA_Secchi', 'QA_Sediment',\n",
+       "       'QA_Fecal_Coliform', 'QA_Chlorophyll'],\n",
        "      dtype='object')"
       ]
      },
@@ -8799,10 +8808,10 @@
    "execution_count": 91,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:11.972132Z",
-     "iopub.status.busy": "2024-09-05T02:52:11.971811Z",
-     "iopub.status.idle": "2024-09-05T02:52:11.983915Z",
-     "shell.execute_reply": "2024-09-05T02:52:11.983486Z"
+     "iopub.execute_input": "2024-11-05T02:52:19.446480Z",
+     "iopub.status.busy": "2024-11-05T02:52:19.446317Z",
+     "iopub.status.idle": "2024-11-05T02:52:19.458457Z",
+     "shell.execute_reply": "2024-11-05T02:52:19.458020Z"
     }
    },
    "outputs": [
@@ -8838,31 +8847,31 @@
        "      <th>pH</th>\n",
        "      <th>Salinity</th>\n",
        "      <th>...</th>\n",
-       "      <th>QA_Secchi</th>\n",
-       "      <th>QA_Temperature</th>\n",
-       "      <th>QA_Nitrogen</th>\n",
-       "      <th>QA_TP_Phosphorus</th>\n",
-       "      <th>QA_TDP_Phosphorus</th>\n",
        "      <th>QA_Other_Phosphorus</th>\n",
-       "      <th>QA_Turbidity</th>\n",
+       "      <th>QA_pH</th>\n",
+       "      <th>QA_E_coli</th>\n",
        "      <th>QA_Carbon</th>\n",
-       "      <th>QA_Conductivity</th>\n",
+       "      <th>QA_Temperature</th>\n",
+       "      <th>QA_Salinity</th>\n",
+       "      <th>QA_Secchi</th>\n",
+       "      <th>QA_Sediment</th>\n",
+       "      <th>QA_Fecal_Coliform</th>\n",
        "      <th>QA_Chlorophyll</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>105835</th>\n",
-       "      <td>WWMD_VA</td>\n",
-       "      <td>WQX Test Organization</td>\n",
-       "      <td>WWMD_VA-BI1:20070823092300:SO:1.5:WB</td>\n",
-       "      <td>WWMD_VA-BI1</td>\n",
+       "      <th>219037</th>\n",
+       "      <td>NARS_WQX</td>\n",
+       "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
+       "      <td>NARS_WQX-185450_2021</td>\n",
+       "      <td>NARS_WQX-NWC_RI-10033</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>31.712 dimensionless</td>\n",
+       "      <td>38.468 dimensionless</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -8876,17 +8885,17 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>107360</th>\n",
-       "      <td>WWMD_VA</td>\n",
-       "      <td>WQX Test Organization</td>\n",
-       "      <td>WWMD_VA-BI1:20070809081400:SO:1.7:WB</td>\n",
-       "      <td>WWMD_VA-BI1</td>\n",
+       "      <th>270661</th>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-P3:20220809125800:FM:B</td>\n",
+       "      <td>WTGHA-P3</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>31.384 dimensionless</td>\n",
+       "      <td>34.521 dimensionless</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -8900,17 +8909,17 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>69499</th>\n",
-       "      <td>WWMD_VA</td>\n",
-       "      <td>WQX Test Organization</td>\n",
-       "      <td>WWMD_VA-SR6A:20060821115000:SO:0.8:WB</td>\n",
-       "      <td>WWMD_VA-SR6A</td>\n",
+       "      <th>281035</th>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-P4:20220809132500:FM:B</td>\n",
+       "      <td>WTGHA-P4</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>31.274 dimensionless</td>\n",
+       "      <td>33.929 dimensionless</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -8924,17 +8933,17 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>74291</th>\n",
-       "      <td>WWMD_VA</td>\n",
-       "      <td>WQX Test Organization</td>\n",
-       "      <td>WWMD_VA-OB6:20060807100000:SO:1.7:WB</td>\n",
-       "      <td>WWMD_VA-OB6</td>\n",
+       "      <th>268485</th>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-P3:20220725114000:FM:B</td>\n",
+       "      <td>WTGHA-P3</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>30.474 dimensionless</td>\n",
+       "      <td>33.713 dimensionless</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -8948,17 +8957,17 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>106347</th>\n",
-       "      <td>WWMD_VA</td>\n",
-       "      <td>WQX Test Organization</td>\n",
-       "      <td>WWMD_VA-LT1N:20070809102000:SO:0.75:WB</td>\n",
-       "      <td>WWMD_VA-LT1N</td>\n",
+       "      <th>50992</th>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-P3:20160815:FM:B</td>\n",
+       "      <td>WTGHA-P3</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>30.401 dimensionless</td>\n",
+       "      <td>33.51 dimensionless</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -8977,47 +8986,40 @@
        "</div>"
       ],
       "text/plain": [
-       "       OrganizationIdentifier OrganizationFormalName  \\\n",
-       "105835                WWMD_VA  WQX Test Organization   \n",
-       "107360                WWMD_VA  WQX Test Organization   \n",
-       "69499                 WWMD_VA  WQX Test Organization   \n",
-       "74291                 WWMD_VA  WQX Test Organization   \n",
-       "106347                WWMD_VA  WQX Test Organization   \n",
-       "\n",
-       "                            ActivityIdentifier MonitoringLocationIdentifier  \\\n",
-       "105835    WWMD_VA-BI1:20070823092300:SO:1.5:WB                  WWMD_VA-BI1   \n",
-       "107360    WWMD_VA-BI1:20070809081400:SO:1.7:WB                  WWMD_VA-BI1   \n",
-       "69499    WWMD_VA-SR6A:20060821115000:SO:0.8:WB                 WWMD_VA-SR6A   \n",
-       "74291     WWMD_VA-OB6:20060807100000:SO:1.7:WB                  WWMD_VA-OB6   \n",
-       "106347  WWMD_VA-LT1N:20070809102000:SO:0.75:WB                 WWMD_VA-LT1N   \n",
+       "       OrganizationIdentifier                         OrganizationFormalName  \\\n",
+       "219037               NARS_WQX   EPA National Aquatic Resources Survey (NARS)   \n",
+       "270661                  WTGHA  Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "281035                  WTGHA  Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "268485                  WTGHA  Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "50992                   WTGHA  Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "\n",
+       "                  ActivityIdentifier MonitoringLocationIdentifier  \\\n",
+       "219037          NARS_WQX-185450_2021        NARS_WQX-NWC_RI-10033   \n",
+       "270661  WTGHA-P3:20220809125800:FM:B                     WTGHA-P3   \n",
+       "281035  WTGHA-P4:20220809132500:FM:B                     WTGHA-P4   \n",
+       "268485  WTGHA-P3:20220725114000:FM:B                     WTGHA-P3   \n",
+       "50992         WTGHA-P3:20160815:FM:B                     WTGHA-P3   \n",
        "\n",
        "       ProviderName Secchi Temperature   DO   pH              Salinity  ...  \\\n",
-       "105835       STORET    NaN         NaN  NaN  NaN  31.712 dimensionless  ...   \n",
-       "107360       STORET    NaN         NaN  NaN  NaN  31.384 dimensionless  ...   \n",
-       "69499        STORET    NaN         NaN  NaN  NaN  31.274 dimensionless  ...   \n",
-       "74291        STORET    NaN         NaN  NaN  NaN  30.474 dimensionless  ...   \n",
-       "106347       STORET    NaN         NaN  NaN  NaN  30.401 dimensionless  ...   \n",
-       "\n",
-       "       QA_Secchi QA_Temperature QA_Nitrogen QA_TP_Phosphorus  \\\n",
-       "105835       NaN            NaN         NaN              NaN   \n",
-       "107360       NaN            NaN         NaN              NaN   \n",
-       "69499        NaN            NaN         NaN              NaN   \n",
-       "74291        NaN            NaN         NaN              NaN   \n",
-       "106347       NaN            NaN         NaN              NaN   \n",
-       "\n",
-       "       QA_TDP_Phosphorus QA_Other_Phosphorus QA_Turbidity  QA_Carbon  \\\n",
-       "105835               NaN                 NaN          NaN        NaN   \n",
-       "107360               NaN                 NaN          NaN        NaN   \n",
-       "69499                NaN                 NaN          NaN        NaN   \n",
-       "74291                NaN                 NaN          NaN        NaN   \n",
-       "106347               NaN                 NaN          NaN        NaN   \n",
-       "\n",
-       "       QA_Conductivity QA_Chlorophyll  \n",
-       "105835             NaN            NaN  \n",
-       "107360             NaN            NaN  \n",
-       "69499              NaN            NaN  \n",
-       "74291              NaN            NaN  \n",
-       "106347             NaN            NaN  \n",
+       "219037       STORET    NaN         NaN  NaN  NaN  38.468 dimensionless  ...   \n",
+       "270661       STORET    NaN         NaN  NaN  NaN  34.521 dimensionless  ...   \n",
+       "281035       STORET    NaN         NaN  NaN  NaN  33.929 dimensionless  ...   \n",
+       "268485       STORET    NaN         NaN  NaN  NaN  33.713 dimensionless  ...   \n",
+       "50992        STORET    NaN         NaN  NaN  NaN   33.51 dimensionless  ...   \n",
+       "\n",
+       "       QA_Other_Phosphorus QA_pH QA_E_coli QA_Carbon QA_Temperature  \\\n",
+       "219037                 NaN   NaN       NaN       NaN            NaN   \n",
+       "270661                 NaN   NaN       NaN       NaN            NaN   \n",
+       "281035                 NaN   NaN       NaN       NaN            NaN   \n",
+       "268485                 NaN   NaN       NaN       NaN            NaN   \n",
+       "50992                  NaN   NaN       NaN       NaN            NaN   \n",
+       "\n",
+       "       QA_Salinity QA_Secchi  QA_Sediment QA_Fecal_Coliform QA_Chlorophyll  \n",
+       "219037         NaN       NaN          NaN               NaN            NaN  \n",
+       "270661         NaN       NaN          NaN               NaN            NaN  \n",
+       "281035         NaN       NaN          NaN               NaN            NaN  \n",
+       "268485         NaN       NaN          NaN               NaN            NaN  \n",
+       "50992          NaN       NaN          NaN               NaN            NaN  \n",
        "\n",
        "[5 rows x 45 columns]"
       ]
@@ -9037,10 +9039,10 @@
    "execution_count": 92,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:11.985920Z",
-     "iopub.status.busy": "2024-09-05T02:52:11.985507Z",
-     "iopub.status.idle": "2024-09-05T02:52:13.617762Z",
-     "shell.execute_reply": "2024-09-05T02:52:13.617175Z"
+     "iopub.execute_input": "2024-11-05T02:52:19.460274Z",
+     "iopub.status.busy": "2024-11-05T02:52:19.459806Z",
+     "iopub.status.idle": "2024-11-05T02:52:21.263588Z",
+     "shell.execute_reply": "2024-11-05T02:52:21.263021Z"
     }
    },
    "outputs": [
@@ -9051,12 +9053,11 @@
        " 'DetectionQuantitationLimitTypeName',\n",
        " 'DetectionQuantitationLimitMeasure/MeasureValue',\n",
        " 'DetectionQuantitationLimitMeasure/MeasureUnitCode',\n",
-       " 'QA_E_coli',\n",
-       " 'QA_Sediment',\n",
+       " 'QA_Conductivity',\n",
        " 'QA_DO',\n",
        " 'QA_TDP_Phosphorus',\n",
        " 'QA_Carbon',\n",
-       " 'QA_Conductivity']"
+       " 'QA_Sediment']"
       ]
      },
      "execution_count": 92,
@@ -9076,10 +9077,10 @@
    "execution_count": 93,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:13.619995Z",
-     "iopub.status.busy": "2024-09-05T02:52:13.619565Z",
-     "iopub.status.idle": "2024-09-05T02:52:14.040181Z",
-     "shell.execute_reply": "2024-09-05T02:52:14.039589Z"
+     "iopub.execute_input": "2024-11-05T02:52:21.265367Z",
+     "iopub.status.busy": "2024-11-05T02:52:21.265197Z",
+     "iopub.status.idle": "2024-11-05T02:52:21.696464Z",
+     "shell.execute_reply": "2024-11-05T02:52:21.695927Z"
     }
    },
    "outputs": [
@@ -9095,7 +9096,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -9131,7 +9132,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/demos/Harmonize_CapeCod_Simple.ipynb b/demos/Harmonize_CapeCod_Simple.ipynb
index 4b89c1d..b9e7060 100644
--- a/demos/Harmonize_CapeCod_Simple.ipynb
+++ b/demos/Harmonize_CapeCod_Simple.ipynb
@@ -54,10 +54,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:17.093457Z",
-     "iopub.status.busy": "2024-09-05T02:52:17.093286Z",
-     "iopub.status.idle": "2024-09-05T02:52:17.098678Z",
-     "shell.execute_reply": "2024-09-05T02:52:17.098236Z"
+     "iopub.execute_input": "2024-11-05T02:52:24.892814Z",
+     "iopub.status.busy": "2024-11-05T02:52:24.892403Z",
+     "iopub.status.idle": "2024-11-05T02:52:24.897751Z",
+     "shell.execute_reply": "2024-11-05T02:52:24.897324Z"
     }
    },
    "outputs": [],
@@ -82,10 +82,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:17.100810Z",
-     "iopub.status.busy": "2024-09-05T02:52:17.100414Z",
-     "iopub.status.idle": "2024-09-05T02:52:17.709783Z",
-     "shell.execute_reply": "2024-09-05T02:52:17.709175Z"
+     "iopub.execute_input": "2024-11-05T02:52:24.899695Z",
+     "iopub.status.busy": "2024-11-05T02:52:24.899246Z",
+     "iopub.status.idle": "2024-11-05T02:52:25.510936Z",
+     "shell.execute_reply": "2024-11-05T02:52:25.510362Z"
     }
    },
    "outputs": [
@@ -93,7 +93,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
       "  warnings.warn('GDAL not installed. Some functions will not work.')\n"
      ]
     }
@@ -107,10 +107,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:17.743558Z",
-     "iopub.status.busy": "2024-09-05T02:52:17.743052Z",
-     "iopub.status.idle": "2024-09-05T02:52:17.745731Z",
-     "shell.execute_reply": "2024-09-05T02:52:17.745282Z"
+     "iopub.execute_input": "2024-11-05T02:52:25.544368Z",
+     "iopub.status.busy": "2024-11-05T02:52:25.543900Z",
+     "iopub.status.idle": "2024-11-05T02:52:25.547003Z",
+     "shell.execute_reply": "2024-11-05T02:52:25.546463Z"
     }
    },
    "outputs": [],
@@ -125,10 +125,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:17.747927Z",
-     "iopub.status.busy": "2024-09-05T02:52:17.747525Z",
-     "iopub.status.idle": "2024-09-05T02:52:19.590573Z",
-     "shell.execute_reply": "2024-09-05T02:52:19.590004Z"
+     "iopub.execute_input": "2024-11-05T02:52:25.548746Z",
+     "iopub.status.busy": "2024-11-05T02:52:25.548412Z",
+     "iopub.status.idle": "2024-11-05T02:52:27.282435Z",
+     "shell.execute_reply": "2024-11-05T02:52:27.281837Z"
     }
    },
    "outputs": [
@@ -170,10 +170,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:19.593380Z",
-     "iopub.status.busy": "2024-09-05T02:52:19.592895Z",
-     "iopub.status.idle": "2024-09-05T02:52:20.249028Z",
-     "shell.execute_reply": "2024-09-05T02:52:20.248493Z"
+     "iopub.execute_input": "2024-11-05T02:52:27.284665Z",
+     "iopub.status.busy": "2024-11-05T02:52:27.284200Z",
+     "iopub.status.idle": "2024-11-05T02:52:27.650834Z",
+     "shell.execute_reply": "2024-11-05T02:52:27.650267Z"
     }
    },
    "outputs": [],
@@ -189,10 +189,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:20.251572Z",
-     "iopub.status.busy": "2024-09-05T02:52:20.251224Z",
-     "iopub.status.idle": "2024-09-05T02:52:20.254417Z",
-     "shell.execute_reply": "2024-09-05T02:52:20.253939Z"
+     "iopub.execute_input": "2024-11-05T02:52:27.652768Z",
+     "iopub.status.busy": "2024-11-05T02:52:27.652592Z",
+     "iopub.status.idle": "2024-11-05T02:52:27.655921Z",
+     "shell.execute_reply": "2024-11-05T02:52:27.655462Z"
     }
    },
    "outputs": [],
@@ -235,10 +235,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:20.256531Z",
-     "iopub.status.busy": "2024-09-05T02:52:20.256210Z",
-     "iopub.status.idle": "2024-09-05T02:52:20.258596Z",
-     "shell.execute_reply": "2024-09-05T02:52:20.258101Z"
+     "iopub.execute_input": "2024-11-05T02:52:27.657600Z",
+     "iopub.status.busy": "2024-11-05T02:52:27.657301Z",
+     "iopub.status.idle": "2024-11-05T02:52:27.659930Z",
+     "shell.execute_reply": "2024-11-05T02:52:27.659479Z"
     }
    },
    "outputs": [],
@@ -251,10 +251,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:20.260565Z",
-     "iopub.status.busy": "2024-09-05T02:52:20.260238Z",
-     "iopub.status.idle": "2024-09-05T02:52:23.378666Z",
-     "shell.execute_reply": "2024-09-05T02:52:23.378109Z"
+     "iopub.execute_input": "2024-11-05T02:52:27.661660Z",
+     "iopub.status.busy": "2024-11-05T02:52:27.661344Z",
+     "iopub.status.idle": "2024-11-05T02:52:31.005911Z",
+     "shell.execute_reply": "2024-11-05T02:52:31.005365Z"
     }
    },
    "outputs": [
@@ -262,7 +262,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (8,10,13,15,17,19,20,21,22,23,28,31,32,33,34,36,38,60,63,64,65,66,67,68,69,70,71,72) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (8,10,13,15,17,19,20,21,22,23,28,31,32,33,34,36,38,60,63,64,65,66,67,68,69,70,71,72) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  df = pd.read_csv(StringIO(response.text), delimiter=',')\n"
      ]
     }
@@ -279,10 +279,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:23.380722Z",
-     "iopub.status.busy": "2024-09-05T02:52:23.380537Z",
-     "iopub.status.idle": "2024-09-05T02:52:23.552662Z",
-     "shell.execute_reply": "2024-09-05T02:52:23.552057Z"
+     "iopub.execute_input": "2024-11-05T02:52:31.007835Z",
+     "iopub.status.busy": "2024-11-05T02:52:31.007490Z",
+     "iopub.status.idle": "2024-11-05T02:52:31.205117Z",
+     "shell.execute_reply": "2024-11-05T02:52:31.204601Z"
     }
    },
    "outputs": [
@@ -357,14 +357,14 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>11NPSWRD_WQX</td>\n",
-       "      <td>National Park Service Water Resources Division</td>\n",
-       "      <td>11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01</td>\n",
-       "      <td>2013-07-22</td>\n",
-       "      <td>11:01:00</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td>11NPSWRD_WQX-CACO_HX30_21</td>\n",
-       "      <td>STORET-986369728</td>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-m41:20131017:FM:B</td>\n",
+       "      <td>2013-10-17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>WTGHA-M41</td>\n",
+       "      <td>STORET-1041401688</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -381,21 +381,21 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>MASSDEP</td>\n",
-       "      <td>Massachusetts Department of Environmental Prot...</td>\n",
-       "      <td>MASSDEP-LB-5142</td>\n",
-       "      <td>2013-07-30</td>\n",
-       "      <td>14:20:00</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td>MASSDEP-W2173</td>\n",
-       "      <td>STORET-762955917</td>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-m43:20130606:FM:B</td>\n",
+       "      <td>2013-06-06</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>WTGHA-M43</td>\n",
+       "      <td>STORET-1041402048</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>https://www.waterqualitydata.us/data/providers...</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -405,14 +405,14 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>IRWA</td>\n",
-       "      <td>Ipswich River Watershed Association (Volunteer)</td>\n",
-       "      <td>IRWA-HB:20130630120000:FM</td>\n",
-       "      <td>2013-06-30</td>\n",
-       "      <td>12:00:00</td>\n",
+       "      <td>11NPSWRD_WQX</td>\n",
+       "      <td>National Park Service Water Resources Division</td>\n",
+       "      <td>11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01</td>\n",
+       "      <td>2013-07-22</td>\n",
+       "      <td>11:01:00</td>\n",
        "      <td>EDT</td>\n",
-       "      <td>IRWA-HB</td>\n",
-       "      <td>STORET-853064665</td>\n",
+       "      <td>11NPSWRD_WQX-CACO_HX30_21</td>\n",
+       "      <td>STORET-986369728</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -429,21 +429,21 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>CRWA</td>\n",
-       "      <td>Charles River Watershed Association (Massachus...</td>\n",
-       "      <td>CRWA-VMM20131217609SEC02</td>\n",
-       "      <td>2013-12-17</td>\n",
-       "      <td>07:40:00</td>\n",
-       "      <td>EST</td>\n",
-       "      <td>CRWA-609S</td>\n",
-       "      <td>STORET-872379847</td>\n",
+       "      <td>MASSDEP</td>\n",
+       "      <td>Massachusetts Department of Environmental Prot...</td>\n",
+       "      <td>MASSDEP-LB-5142</td>\n",
+       "      <td>2013-07-30</td>\n",
+       "      <td>14:20:00</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td>MASSDEP-W2173</td>\n",
+       "      <td>STORET-762955917</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>https://www.waterqualitydata.us/data/providers...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -476,7 +476,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416607</th>\n",
+       "      <th>457005</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400495</td>\n",
@@ -500,7 +500,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416608</th>\n",
+       "      <th>457006</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -524,7 +524,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416609</th>\n",
+       "      <th>457007</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -548,7 +548,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416610</th>\n",
+       "      <th>457008</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -572,7 +572,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416611</th>\n",
+       "      <th>457009</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -597,74 +597,74 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>416612 rows × 78 columns</p>\n",
+       "<p>457010 rows × 78 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       OrganizationIdentifier  \\\n",
        "0                        CRWA   \n",
-       "1                11NPSWRD_WQX   \n",
-       "2                     MASSDEP   \n",
-       "3                        IRWA   \n",
-       "4                        CRWA   \n",
+       "1                       WTGHA   \n",
+       "2                       WTGHA   \n",
+       "3                11NPSWRD_WQX   \n",
+       "4                     MASSDEP   \n",
        "...                       ...   \n",
-       "416607                USGS-MA   \n",
-       "416608                USGS-MA   \n",
-       "416609                USGS-MA   \n",
-       "416610                USGS-MA   \n",
-       "416611                USGS-MA   \n",
+       "457005                USGS-MA   \n",
+       "457006                USGS-MA   \n",
+       "457007                USGS-MA   \n",
+       "457008                USGS-MA   \n",
+       "457009                USGS-MA   \n",
        "\n",
        "                                   OrganizationFormalName  \\\n",
        "0       Charles River Watershed Association (Massachus...   \n",
-       "1          National Park Service Water Resources Division   \n",
-       "2       Massachusetts Department of Environmental Prot...   \n",
-       "3         Ipswich River Watershed Association (Volunteer)   \n",
-       "4       Charles River Watershed Association (Massachus...   \n",
+       "1           Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "2           Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "3          National Park Service Water Resources Division   \n",
+       "4       Massachusetts Department of Environmental Prot...   \n",
        "...                                                   ...   \n",
-       "416607            USGS Massachusetts Water Science Center   \n",
-       "416608            USGS Massachusetts Water Science Center   \n",
-       "416609            USGS Massachusetts Water Science Center   \n",
-       "416610            USGS Massachusetts Water Science Center   \n",
-       "416611            USGS Massachusetts Water Science Center   \n",
+       "457005            USGS Massachusetts Water Science Center   \n",
+       "457006            USGS Massachusetts Water Science Center   \n",
+       "457007            USGS Massachusetts Water Science Center   \n",
+       "457008            USGS Massachusetts Water Science Center   \n",
+       "457009            USGS Massachusetts Water Science Center   \n",
        "\n",
        "                                  ActivityIdentifier ActivityStartDate  \\\n",
        "0                          CRWA-CYN20130809ROBTemp01        2013-08-09   \n",
-       "1       11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01        2013-07-22   \n",
-       "2                                    MASSDEP-LB-5142        2013-07-30   \n",
-       "3                          IRWA-HB:20130630120000:FM        2013-06-30   \n",
-       "4                           CRWA-VMM20131217609SEC02        2013-12-17   \n",
+       "1                            WTGHA-m41:20131017:FM:B        2013-10-17   \n",
+       "2                            WTGHA-m43:20130606:FM:B        2013-06-06   \n",
+       "3       11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01        2013-07-22   \n",
+       "4                                    MASSDEP-LB-5142        2013-07-30   \n",
        "...                                              ...               ...   \n",
-       "416607                            nwisma.01.02400495        2024-01-08   \n",
-       "416608                            nwisma.01.02400639        2024-02-12   \n",
-       "416609                            nwisma.01.02400639        2024-02-12   \n",
-       "416610                            nwisma.01.02400639        2024-02-12   \n",
-       "416611                            nwisma.01.02400639        2024-02-12   \n",
+       "457005                            nwisma.01.02400495        2024-01-08   \n",
+       "457006                            nwisma.01.02400639        2024-02-12   \n",
+       "457007                            nwisma.01.02400639        2024-02-12   \n",
+       "457008                            nwisma.01.02400639        2024-02-12   \n",
+       "457009                            nwisma.01.02400639        2024-02-12   \n",
        "\n",
        "       ActivityStartTime/Time ActivityStartTime/TimeZoneCode  \\\n",
        "0                    11:14:33                            EST   \n",
-       "1                    11:01:00                            EDT   \n",
-       "2                    14:20:00                            EDT   \n",
-       "3                    12:00:00                            EDT   \n",
-       "4                    07:40:00                            EST   \n",
+       "1                         NaN                            NaN   \n",
+       "2                         NaN                            NaN   \n",
+       "3                    11:01:00                            EDT   \n",
+       "4                    14:20:00                            EDT   \n",
        "...                       ...                            ...   \n",
-       "416607               12:00:00                            EST   \n",
-       "416608               08:45:00                            EST   \n",
-       "416609               08:45:00                            EST   \n",
-       "416610               08:45:00                            EST   \n",
-       "416611               08:45:00                            EST   \n",
+       "457005               12:00:00                            EST   \n",
+       "457006               08:45:00                            EST   \n",
+       "457007               08:45:00                            EST   \n",
+       "457008               08:45:00                            EST   \n",
+       "457009               08:45:00                            EST   \n",
        "\n",
-       "       MonitoringLocationIdentifier  ResultIdentifier  DataLoggerLine  \\\n",
-       "0                          CRWA-ROB  STORET-591631481  130809111433.0   \n",
-       "1         11NPSWRD_WQX-CACO_HX30_21  STORET-986369728             NaN   \n",
-       "2                     MASSDEP-W2173  STORET-762955917             NaN   \n",
-       "3                           IRWA-HB  STORET-853064665             NaN   \n",
-       "4                         CRWA-609S  STORET-872379847             NaN   \n",
-       "...                             ...               ...             ...   \n",
-       "416607                USGS-01098530    NWIS-126836828             NaN   \n",
-       "416608                USGS-01097050    NWIS-126989046             NaN   \n",
-       "416609                USGS-01097050    NWIS-126989056             NaN   \n",
-       "416610                USGS-01097050    NWIS-126989063             NaN   \n",
-       "416611                USGS-01097050    NWIS-126989064             NaN   \n",
+       "       MonitoringLocationIdentifier   ResultIdentifier  DataLoggerLine  \\\n",
+       "0                          CRWA-ROB   STORET-591631481  130809111433.0   \n",
+       "1                         WTGHA-M41  STORET-1041401688             NaN   \n",
+       "2                         WTGHA-M43  STORET-1041402048             NaN   \n",
+       "3         11NPSWRD_WQX-CACO_HX30_21   STORET-986369728             NaN   \n",
+       "4                     MASSDEP-W2173   STORET-762955917             NaN   \n",
+       "...                             ...                ...             ...   \n",
+       "457005                USGS-01098530     NWIS-126836828             NaN   \n",
+       "457006                USGS-01097050     NWIS-126989046             NaN   \n",
+       "457007                USGS-01097050     NWIS-126989056             NaN   \n",
+       "457008                USGS-01097050     NWIS-126989063             NaN   \n",
+       "457009                USGS-01097050     NWIS-126989064             NaN   \n",
        "\n",
        "       ResultDetectionConditionText  ... AnalysisEndTime/TimeZoneCode  \\\n",
        "0                               NaN  ...                          NaN   \n",
@@ -673,11 +673,11 @@
        "3                               NaN  ...                          NaN   \n",
        "4                               NaN  ...                          NaN   \n",
        "...                             ...  ...                          ...   \n",
-       "416607                          NaN  ...                          NaN   \n",
-       "416608                          NaN  ...                          NaN   \n",
-       "416609                          NaN  ...                          NaN   \n",
-       "416610                          NaN  ...                          NaN   \n",
-       "416611                          NaN  ...                          NaN   \n",
+       "457005                          NaN  ...                          NaN   \n",
+       "457006                          NaN  ...                          NaN   \n",
+       "457007                          NaN  ...                          NaN   \n",
+       "457008                          NaN  ...                          NaN   \n",
+       "457009                          NaN  ...                          NaN   \n",
        "\n",
        "       ResultLaboratoryCommentCode ResultLaboratoryCommentText  \\\n",
        "0                              NaN                         NaN   \n",
@@ -686,24 +686,24 @@
        "3                              NaN                         NaN   \n",
        "4                              NaN                         NaN   \n",
        "...                            ...                         ...   \n",
-       "416607                         NaN                         NaN   \n",
-       "416608                         NaN                         NaN   \n",
-       "416609                         NaN                         NaN   \n",
-       "416610                         NaN                         NaN   \n",
-       "416611                         NaN                         NaN   \n",
+       "457005                         NaN                         NaN   \n",
+       "457006                         NaN                         NaN   \n",
+       "457007                         NaN                         NaN   \n",
+       "457008                         NaN                         NaN   \n",
+       "457009                         NaN                         NaN   \n",
        "\n",
        "                      ResultDetectionQuantitationLimitUrl  \\\n",
        "0                                                     NaN   \n",
        "1                                                     NaN   \n",
-       "2       https://www.waterqualitydata.us/data/providers...   \n",
+       "2                                                     NaN   \n",
        "3                                                     NaN   \n",
-       "4                                                     NaN   \n",
+       "4       https://www.waterqualitydata.us/data/providers...   \n",
        "...                                                   ...   \n",
-       "416607                                                NaN   \n",
-       "416608                                                NaN   \n",
-       "416609                                                NaN   \n",
-       "416610                                                NaN   \n",
-       "416611                                                NaN   \n",
+       "457005                                                NaN   \n",
+       "457006                                                NaN   \n",
+       "457007                                                NaN   \n",
+       "457008                                                NaN   \n",
+       "457009                                                NaN   \n",
        "\n",
        "       LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName  \\\n",
        "0                                   NaN                                  NaN   \n",
@@ -712,11 +712,11 @@
        "3                                   NaN                                  NaN   \n",
        "4                                   NaN                                  NaN   \n",
        "...                                 ...                                  ...   \n",
-       "416607                              NaN                                  NaN   \n",
-       "416608                              NaN                                  NaN   \n",
-       "416609                              NaN                                  NaN   \n",
-       "416610                              NaN                                  NaN   \n",
-       "416611                              NaN                                  NaN   \n",
+       "457005                              NaN                                  NaN   \n",
+       "457006                              NaN                                  NaN   \n",
+       "457007                              NaN                                  NaN   \n",
+       "457008                              NaN                                  NaN   \n",
+       "457009                              NaN                                  NaN   \n",
        "\n",
        "       TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName  \\\n",
        "0                                   NaN                                  NaN   \n",
@@ -725,11 +725,11 @@
        "3                                   NaN                                  NaN   \n",
        "4                                   NaN                                  NaN   \n",
        "...                                 ...                                  ...   \n",
-       "416607                              NaN                                  NaN   \n",
-       "416608                              NaN                                  NaN   \n",
-       "416609                              NaN                                  NaN   \n",
-       "416610                              NaN                                  NaN   \n",
-       "416611                              NaN                                  NaN   \n",
+       "457005                              NaN                                  NaN   \n",
+       "457006                              NaN                                  NaN   \n",
+       "457007                              NaN                                  NaN   \n",
+       "457008                              NaN                                  NaN   \n",
+       "457009                              NaN                                  NaN   \n",
        "\n",
        "       LabSamplePreparationUrl ProviderName  \n",
        "0                          NaN       STORET  \n",
@@ -738,13 +738,13 @@
        "3                          NaN       STORET  \n",
        "4                          NaN       STORET  \n",
        "...                        ...          ...  \n",
-       "416607                     NaN         NWIS  \n",
-       "416608                     NaN         NWIS  \n",
-       "416609                     NaN         NWIS  \n",
-       "416610                     NaN         NWIS  \n",
-       "416611                     NaN         NWIS  \n",
+       "457005                     NaN         NWIS  \n",
+       "457006                     NaN         NWIS  \n",
+       "457007                     NaN         NWIS  \n",
+       "457008                     NaN         NWIS  \n",
+       "457009                     NaN         NWIS  \n",
        "\n",
-       "[416612 rows x 78 columns]"
+       "[457010 rows x 78 columns]"
       ]
      },
      "execution_count": 9,
@@ -770,10 +770,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:23.554842Z",
-     "iopub.status.busy": "2024-09-05T02:52:23.554661Z",
-     "iopub.status.idle": "2024-09-05T02:52:23.557788Z",
-     "shell.execute_reply": "2024-09-05T02:52:23.557364Z"
+     "iopub.execute_input": "2024-11-05T02:52:31.206976Z",
+     "iopub.status.busy": "2024-11-05T02:52:31.206621Z",
+     "iopub.status.idle": "2024-11-05T02:52:31.209796Z",
+     "shell.execute_reply": "2024-11-05T02:52:31.209252Z"
     }
    },
    "outputs": [],
@@ -788,10 +788,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:52:23.559697Z",
-     "iopub.status.busy": "2024-09-05T02:52:23.559529Z",
-     "iopub.status.idle": "2024-09-05T02:53:16.257833Z",
-     "shell.execute_reply": "2024-09-05T02:53:16.257260Z"
+     "iopub.execute_input": "2024-11-05T02:52:31.211588Z",
+     "iopub.status.busy": "2024-11-05T02:52:31.211179Z",
+     "iopub.status.idle": "2024-11-05T02:53:28.910728Z",
+     "shell.execute_reply": "2024-11-05T02:53:28.910244Z"
     }
    },
    "outputs": [
@@ -799,9 +799,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ppb' UNDEFINED UNIT for Chlorophyll\n",
       "  warn(\"WARNING: \" + problem)\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ppb' UNDEFINED UNIT for Chlorophyll\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/m3' UNDEFINED UNIT for Chlorophyll\n",
       "  warn(\"WARNING: \" + problem)\n"
      ]
     },
@@ -809,7 +809,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/m3' UNDEFINED UNIT for Chlorophyll\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n",
       "  warn(\"WARNING: \" + problem)\n"
      ]
     },
@@ -817,7 +817,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -825,7 +825,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n",
       "  warn(\"WARNING: \" + problem)\n"
      ]
     },
@@ -833,17 +833,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: '%' converted to NaN\n",
-      "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'CFUcol/100mL' UNDEFINED UNIT for E_coli\n",
+      "  warn(\"WARNING: \" + problem)\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -851,9 +851,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: '%' converted to NaN\n",
+      "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -861,11 +863,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
-      "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -873,31 +873,39 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n",
-      "  warn(\"WARNING: \" + problem)\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n",
-      "  data = np.array(data, copy=copy)\n"
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n",
+      "  warn(\"WARNING: \" + problem)\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n",
       "  data = np.array(data, copy=copy)\n"
      ]
     },
     {
-     "name": "stdout",
+     "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2 Phosphorus sample fractions not in frac_dict\n"
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n",
+      "  data = np.array(data, copy=copy)\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "2 Phosphorus sample fractions not in frac_dict\n",
       "2 Phosphorus sample fractions not in frac_dict found in expected domains, mapped to \"Other_Phosphorus\"\n"
      ]
     },
@@ -905,7 +913,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/basis.py:154: UserWarning: Mismatched ResultTemperatureBasisText: updated from 25 deg C to @25C (units)\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/basis.py:154: UserWarning: Mismatched ResultTemperatureBasisText: updated from 25 deg C to @25C (units)\n",
       "  warn(f\"Mismatched {flag}\", UserWarning)\n"
      ]
     },
@@ -913,7 +921,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'deg C' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'deg C' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -921,7 +929,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'g / H2O' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'g / H2O' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -929,7 +937,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -937,15 +945,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/harmonize.py:149: UserWarning: Bad Turbidity unit: count\n",
-      "  warn(f\"Bad Turbidity unit: {unit}\")\n"
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/harmonize.py:149: UserWarning: Bad Turbidity unit: count\n",
+      "  warn(f\"Bad Turbidity unit: {unit}\")\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
+      "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'mV' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -1020,14 +1030,14 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>11NPSWRD_WQX</td>\n",
-       "      <td>National Park Service Water Resources Division</td>\n",
-       "      <td>11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01</td>\n",
-       "      <td>2013-07-22</td>\n",
-       "      <td>11:01:00</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td>11NPSWRD_WQX-CACO_HX30_21</td>\n",
-       "      <td>STORET-986369728</td>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-m41:20131017:FM:B</td>\n",
+       "      <td>2013-10-17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>WTGHA-M41</td>\n",
+       "      <td>STORET-1041401688</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -1039,43 +1049,43 @@
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>4.2 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>1.0 Nephelometric_Turbidity_Units</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>MASSDEP</td>\n",
-       "      <td>Massachusetts Department of Environmental Prot...</td>\n",
-       "      <td>MASSDEP-LB-5142</td>\n",
-       "      <td>2013-07-30</td>\n",
-       "      <td>14:20:00</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td>MASSDEP-W2173</td>\n",
-       "      <td>STORET-762955917</td>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-m43:20130606:FM:B</td>\n",
+       "      <td>2013-06-06</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
+       "      <td>WTGHA-M43</td>\n",
+       "      <td>STORET-1041402048</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>17.39 degree_Celsius</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>IRWA</td>\n",
-       "      <td>Ipswich River Watershed Association (Volunteer)</td>\n",
-       "      <td>IRWA-HB:20130630120000:FM</td>\n",
-       "      <td>2013-06-30</td>\n",
-       "      <td>12:00:00</td>\n",
+       "      <td>11NPSWRD_WQX</td>\n",
+       "      <td>National Park Service Water Resources Division</td>\n",
+       "      <td>11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01</td>\n",
+       "      <td>2013-07-22</td>\n",
+       "      <td>11:01:00</td>\n",
        "      <td>EDT</td>\n",
-       "      <td>IRWA-HB</td>\n",
-       "      <td>STORET-853064665</td>\n",
+       "      <td>11NPSWRD_WQX-CACO_HX30_21</td>\n",
+       "      <td>STORET-986369728</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -1087,19 +1097,19 @@
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>4.2 Nephelometric_Turbidity_Units</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>CRWA</td>\n",
-       "      <td>Charles River Watershed Association (Massachus...</td>\n",
-       "      <td>CRWA-VMM20131217609SEC02</td>\n",
-       "      <td>2013-12-17</td>\n",
-       "      <td>07:40:00</td>\n",
-       "      <td>EST</td>\n",
-       "      <td>CRWA-609S</td>\n",
-       "      <td>STORET-872379847</td>\n",
+       "      <td>MASSDEP</td>\n",
+       "      <td>Massachusetts Department of Environmental Prot...</td>\n",
+       "      <td>MASSDEP-LB-5142</td>\n",
+       "      <td>2013-07-30</td>\n",
+       "      <td>14:20:00</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td>MASSDEP-W2173</td>\n",
+       "      <td>STORET-762955917</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -1139,7 +1149,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416607</th>\n",
+       "      <th>457005</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400495</td>\n",
@@ -1163,7 +1173,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416608</th>\n",
+       "      <th>457006</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1187,7 +1197,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416609</th>\n",
+       "      <th>457007</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1211,7 +1221,7 @@
        "      <td>7.4 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416610</th>\n",
+       "      <th>457008</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1235,7 +1245,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416611</th>\n",
+       "      <th>457009</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1260,74 +1270,74 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>416612 rows × 98 columns</p>\n",
+       "<p>457010 rows × 98 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       OrganizationIdentifier  \\\n",
        "0                        CRWA   \n",
-       "1                11NPSWRD_WQX   \n",
-       "2                     MASSDEP   \n",
-       "3                        IRWA   \n",
-       "4                        CRWA   \n",
+       "1                       WTGHA   \n",
+       "2                       WTGHA   \n",
+       "3                11NPSWRD_WQX   \n",
+       "4                     MASSDEP   \n",
        "...                       ...   \n",
-       "416607                USGS-MA   \n",
-       "416608                USGS-MA   \n",
-       "416609                USGS-MA   \n",
-       "416610                USGS-MA   \n",
-       "416611                USGS-MA   \n",
+       "457005                USGS-MA   \n",
+       "457006                USGS-MA   \n",
+       "457007                USGS-MA   \n",
+       "457008                USGS-MA   \n",
+       "457009                USGS-MA   \n",
        "\n",
        "                                   OrganizationFormalName  \\\n",
        "0       Charles River Watershed Association (Massachus...   \n",
-       "1          National Park Service Water Resources Division   \n",
-       "2       Massachusetts Department of Environmental Prot...   \n",
-       "3         Ipswich River Watershed Association (Volunteer)   \n",
-       "4       Charles River Watershed Association (Massachus...   \n",
+       "1           Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "2           Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "3          National Park Service Water Resources Division   \n",
+       "4       Massachusetts Department of Environmental Prot...   \n",
        "...                                                   ...   \n",
-       "416607            USGS Massachusetts Water Science Center   \n",
-       "416608            USGS Massachusetts Water Science Center   \n",
-       "416609            USGS Massachusetts Water Science Center   \n",
-       "416610            USGS Massachusetts Water Science Center   \n",
-       "416611            USGS Massachusetts Water Science Center   \n",
+       "457005            USGS Massachusetts Water Science Center   \n",
+       "457006            USGS Massachusetts Water Science Center   \n",
+       "457007            USGS Massachusetts Water Science Center   \n",
+       "457008            USGS Massachusetts Water Science Center   \n",
+       "457009            USGS Massachusetts Water Science Center   \n",
        "\n",
        "                                  ActivityIdentifier ActivityStartDate  \\\n",
        "0                          CRWA-CYN20130809ROBTemp01        2013-08-09   \n",
-       "1       11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01        2013-07-22   \n",
-       "2                                    MASSDEP-LB-5142        2013-07-30   \n",
-       "3                          IRWA-HB:20130630120000:FM        2013-06-30   \n",
-       "4                           CRWA-VMM20131217609SEC02        2013-12-17   \n",
+       "1                            WTGHA-m41:20131017:FM:B        2013-10-17   \n",
+       "2                            WTGHA-m43:20130606:FM:B        2013-06-06   \n",
+       "3       11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01        2013-07-22   \n",
+       "4                                    MASSDEP-LB-5142        2013-07-30   \n",
        "...                                              ...               ...   \n",
-       "416607                            nwisma.01.02400495        2024-01-08   \n",
-       "416608                            nwisma.01.02400639        2024-02-12   \n",
-       "416609                            nwisma.01.02400639        2024-02-12   \n",
-       "416610                            nwisma.01.02400639        2024-02-12   \n",
-       "416611                            nwisma.01.02400639        2024-02-12   \n",
+       "457005                            nwisma.01.02400495        2024-01-08   \n",
+       "457006                            nwisma.01.02400639        2024-02-12   \n",
+       "457007                            nwisma.01.02400639        2024-02-12   \n",
+       "457008                            nwisma.01.02400639        2024-02-12   \n",
+       "457009                            nwisma.01.02400639        2024-02-12   \n",
        "\n",
        "       ActivityStartTime/Time ActivityStartTime/TimeZoneCode  \\\n",
        "0                    11:14:33                            EST   \n",
-       "1                    11:01:00                            EDT   \n",
-       "2                    14:20:00                            EDT   \n",
-       "3                    12:00:00                            EDT   \n",
-       "4                    07:40:00                            EST   \n",
+       "1                         NaN                            NaN   \n",
+       "2                         NaN                            NaN   \n",
+       "3                    11:01:00                            EDT   \n",
+       "4                    14:20:00                            EDT   \n",
        "...                       ...                            ...   \n",
-       "416607               12:00:00                            EST   \n",
-       "416608               08:45:00                            EST   \n",
-       "416609               08:45:00                            EST   \n",
-       "416610               08:45:00                            EST   \n",
-       "416611               08:45:00                            EST   \n",
+       "457005               12:00:00                            EST   \n",
+       "457006               08:45:00                            EST   \n",
+       "457007               08:45:00                            EST   \n",
+       "457008               08:45:00                            EST   \n",
+       "457009               08:45:00                            EST   \n",
        "\n",
-       "       MonitoringLocationIdentifier  ResultIdentifier  DataLoggerLine  \\\n",
-       "0                          CRWA-ROB  STORET-591631481  130809111433.0   \n",
-       "1         11NPSWRD_WQX-CACO_HX30_21  STORET-986369728             NaN   \n",
-       "2                     MASSDEP-W2173  STORET-762955917             NaN   \n",
-       "3                           IRWA-HB  STORET-853064665             NaN   \n",
-       "4                         CRWA-609S  STORET-872379847             NaN   \n",
-       "...                             ...               ...             ...   \n",
-       "416607                USGS-01098530    NWIS-126836828             NaN   \n",
-       "416608                USGS-01097050    NWIS-126989046             NaN   \n",
-       "416609                USGS-01097050    NWIS-126989056             NaN   \n",
-       "416610                USGS-01097050    NWIS-126989063             NaN   \n",
-       "416611                USGS-01097050    NWIS-126989064             NaN   \n",
+       "       MonitoringLocationIdentifier   ResultIdentifier  DataLoggerLine  \\\n",
+       "0                          CRWA-ROB   STORET-591631481  130809111433.0   \n",
+       "1                         WTGHA-M41  STORET-1041401688             NaN   \n",
+       "2                         WTGHA-M43  STORET-1041402048             NaN   \n",
+       "3         11NPSWRD_WQX-CACO_HX30_21   STORET-986369728             NaN   \n",
+       "4                     MASSDEP-W2173   STORET-762955917             NaN   \n",
+       "...                             ...                ...             ...   \n",
+       "457005                USGS-01098530     NWIS-126836828             NaN   \n",
+       "457006                USGS-01097050     NWIS-126989046             NaN   \n",
+       "457007                USGS-01097050     NWIS-126989056             NaN   \n",
+       "457008                USGS-01097050     NWIS-126989063             NaN   \n",
+       "457009                USGS-01097050     NWIS-126989064             NaN   \n",
        "\n",
        "       ResultDetectionConditionText  ... Carbon Phosphorus TP_Phosphorus  \\\n",
        "0                               NaN  ...    NaN        NaN           NaN   \n",
@@ -1336,11 +1346,11 @@
        "3                               NaN  ...    NaN        NaN           NaN   \n",
        "4                               NaN  ...    NaN        NaN           NaN   \n",
        "...                             ...  ...    ...        ...           ...   \n",
-       "416607                          NaN  ...    NaN        NaN           NaN   \n",
-       "416608                          NaN  ...    NaN        NaN           NaN   \n",
-       "416609                          NaN  ...    NaN        NaN           NaN   \n",
-       "416610                          NaN  ...    NaN        NaN           NaN   \n",
-       "416611                          NaN  ...    NaN        NaN           NaN   \n",
+       "457005                          NaN  ...    NaN        NaN           NaN   \n",
+       "457006                          NaN  ...    NaN        NaN           NaN   \n",
+       "457007                          NaN  ...    NaN        NaN           NaN   \n",
+       "457008                          NaN  ...    NaN        NaN           NaN   \n",
+       "457009                          NaN  ...    NaN        NaN           NaN   \n",
        "\n",
        "       TDP_Phosphorus Other_Phosphorus Salinity Sediment  \\\n",
        "0                 NaN              NaN      NaN      NaN   \n",
@@ -1349,24 +1359,24 @@
        "3                 NaN              NaN      NaN      NaN   \n",
        "4                 NaN              NaN      NaN      NaN   \n",
        "...               ...              ...      ...      ...   \n",
-       "416607            NaN              NaN      NaN      NaN   \n",
-       "416608            NaN              NaN      NaN      NaN   \n",
-       "416609            NaN              NaN      NaN      NaN   \n",
-       "416610            NaN              NaN      NaN      NaN   \n",
-       "416611            NaN              NaN      NaN      NaN   \n",
+       "457005            NaN              NaN      NaN      NaN   \n",
+       "457006            NaN              NaN      NaN      NaN   \n",
+       "457007            NaN              NaN      NaN      NaN   \n",
+       "457008            NaN              NaN      NaN      NaN   \n",
+       "457009            NaN              NaN      NaN      NaN   \n",
        "\n",
        "                 Temperature                          Turbidity  \\\n",
        "0       23.01 degree_Celsius                                NaN   \n",
-       "1                        NaN  4.2 Nephelometric_Turbidity_Units   \n",
-       "2                        NaN                                NaN   \n",
-       "3                        NaN                                NaN   \n",
+       "1                        NaN  1.0 Nephelometric_Turbidity_Units   \n",
+       "2       17.39 degree_Celsius                                NaN   \n",
+       "3                        NaN  4.2 Nephelometric_Turbidity_Units   \n",
        "4                        NaN                                NaN   \n",
        "...                      ...                                ...   \n",
-       "416607                   NaN  2.9 Nephelometric_Turbidity_Units   \n",
-       "416608    3.9 degree_Celsius                                NaN   \n",
-       "416609                   NaN                                NaN   \n",
-       "416610                   NaN                                NaN   \n",
-       "416611                   NaN  2.7 Nephelometric_Turbidity_Units   \n",
+       "457005                   NaN  2.9 Nephelometric_Turbidity_Units   \n",
+       "457006    3.9 degree_Celsius                                NaN   \n",
+       "457007                   NaN                                NaN   \n",
+       "457008                   NaN                                NaN   \n",
+       "457009                   NaN  2.7 Nephelometric_Turbidity_Units   \n",
        "\n",
        "                       pH  \n",
        "0                     NaN  \n",
@@ -1375,13 +1385,13 @@
        "3                     NaN  \n",
        "4                     NaN  \n",
        "...                   ...  \n",
-       "416607                NaN  \n",
-       "416608                NaN  \n",
-       "416609  7.4 dimensionless  \n",
-       "416610                NaN  \n",
-       "416611                NaN  \n",
+       "457005                NaN  \n",
+       "457006                NaN  \n",
+       "457007  7.4 dimensionless  \n",
+       "457008                NaN  \n",
+       "457009                NaN  \n",
        "\n",
-       "[416612 rows x 98 columns]"
+       "[457010 rows x 98 columns]"
       ]
      },
      "execution_count": 11,
@@ -1402,10 +1412,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:53:16.259957Z",
-     "iopub.status.busy": "2024-09-05T02:53:16.259630Z",
-     "iopub.status.idle": "2024-09-05T02:53:17.669515Z",
-     "shell.execute_reply": "2024-09-05T02:53:17.668885Z"
+     "iopub.execute_input": "2024-11-05T02:53:28.912461Z",
+     "iopub.status.busy": "2024-11-05T02:53:28.912183Z",
+     "iopub.status.idle": "2024-11-05T02:53:30.907196Z",
+     "shell.execute_reply": "2024-11-05T02:53:30.906546Z"
     }
    },
    "outputs": [],
@@ -1419,10 +1429,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:53:17.672003Z",
-     "iopub.status.busy": "2024-09-05T02:53:17.671825Z",
-     "iopub.status.idle": "2024-09-05T02:53:18.480170Z",
-     "shell.execute_reply": "2024-09-05T02:53:18.479579Z"
+     "iopub.execute_input": "2024-11-05T02:53:30.909344Z",
+     "iopub.status.busy": "2024-11-05T02:53:30.909161Z",
+     "iopub.status.idle": "2024-11-05T02:53:31.537471Z",
+     "shell.execute_reply": "2024-11-05T02:53:31.536864Z"
     }
    },
    "outputs": [
@@ -1438,7 +1448,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1459,10 +1469,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:53:18.482414Z",
-     "iopub.status.busy": "2024-09-05T02:53:18.482005Z",
-     "iopub.status.idle": "2024-09-05T02:53:19.443355Z",
-     "shell.execute_reply": "2024-09-05T02:53:19.442798Z"
+     "iopub.execute_input": "2024-11-05T02:53:31.539371Z",
+     "iopub.status.busy": "2024-11-05T02:53:31.538950Z",
+     "iopub.status.idle": "2024-11-05T02:53:32.540900Z",
+     "shell.execute_reply": "2024-11-05T02:53:32.540260Z"
     }
    },
    "outputs": [
@@ -1478,7 +1488,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -1505,10 +1515,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:53:19.445682Z",
-     "iopub.status.busy": "2024-09-05T02:53:19.445135Z",
-     "iopub.status.idle": "2024-09-05T02:53:19.448096Z",
-     "shell.execute_reply": "2024-09-05T02:53:19.447532Z"
+     "iopub.execute_input": "2024-11-05T02:53:32.542784Z",
+     "iopub.status.busy": "2024-11-05T02:53:32.542447Z",
+     "iopub.status.idle": "2024-11-05T02:53:32.545376Z",
+     "shell.execute_reply": "2024-11-05T02:53:32.544821Z"
     }
    },
    "outputs": [],
@@ -1521,10 +1531,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:53:19.450248Z",
-     "iopub.status.busy": "2024-09-05T02:53:19.449782Z",
-     "iopub.status.idle": "2024-09-05T02:53:22.731092Z",
-     "shell.execute_reply": "2024-09-05T02:53:22.730456Z"
+     "iopub.execute_input": "2024-11-05T02:53:32.546963Z",
+     "iopub.status.busy": "2024-11-05T02:53:32.546659Z",
+     "iopub.status.idle": "2024-11-05T02:53:35.148011Z",
+     "shell.execute_reply": "2024-11-05T02:53:35.147449Z"
     }
    },
    "outputs": [
@@ -1532,7 +1542,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 132776 incomplete dates found, consider setting datetime_index to False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 167291 incomplete dates found, consider setting datetime_index to False.\n",
       "  warnings.warn(\n"
      ]
     }
@@ -1561,10 +1571,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:53:22.733617Z",
-     "iopub.status.busy": "2024-09-05T02:53:22.733452Z",
-     "iopub.status.idle": "2024-09-05T02:53:27.422145Z",
-     "shell.execute_reply": "2024-09-05T02:53:27.421501Z"
+     "iopub.execute_input": "2024-11-05T02:53:35.150024Z",
+     "iopub.status.busy": "2024-11-05T02:53:35.149722Z",
+     "iopub.status.idle": "2024-11-05T02:53:40.398039Z",
+     "shell.execute_reply": "2024-11-05T02:53:40.397465Z"
     }
    },
    "outputs": [
@@ -1600,16 +1610,16 @@
        "      <th>DataLoggerLine</th>\n",
        "      <th>ResultDetectionConditionText</th>\n",
        "      <th>...</th>\n",
-       "      <th>QA_Conductivity</th>\n",
-       "      <th>QA_Salinity</th>\n",
+       "      <th>QA_Fecal_Coliform</th>\n",
        "      <th>QA_Carbon</th>\n",
-       "      <th>QA_Secchi</th>\n",
-       "      <th>QA_Chlorophyll</th>\n",
+       "      <th>QA_Nitrogen</th>\n",
+       "      <th>QA_pH</th>\n",
        "      <th>QA_E_coli</th>\n",
-       "      <th>QA_TP_Phosphorus</th>\n",
-       "      <th>QA_TDP_Phosphorus</th>\n",
-       "      <th>QA_Other_Phosphorus</th>\n",
-       "      <th>QA_Temperature</th>\n",
+       "      <th>QA_Secchi</th>\n",
+       "      <th>QA_Salinity</th>\n",
+       "      <th>QA_Conductivity</th>\n",
+       "      <th>QA_Turbidity</th>\n",
+       "      <th>QA_DO</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -1639,14 +1649,14 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>11NPSWRD_WQX</td>\n",
-       "      <td>National Park Service Water Resources Division</td>\n",
-       "      <td>11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01</td>\n",
-       "      <td>2013-07-22</td>\n",
-       "      <td>11:01:00</td>\n",
-       "      <td>-0400</td>\n",
-       "      <td>11NPSWRD_WQX-CACO_HX30_21</td>\n",
-       "      <td>STORET-986369728</td>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-m41:20131017:FM:B</td>\n",
+       "      <td>2013-10-17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>WTGHA-M41</td>\n",
+       "      <td>STORET-1041401688</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -1663,14 +1673,14 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>MASSDEP</td>\n",
-       "      <td>Massachusetts Department of Environmental Prot...</td>\n",
-       "      <td>MASSDEP-LB-5142</td>\n",
-       "      <td>2013-07-30</td>\n",
-       "      <td>14:20:00</td>\n",
-       "      <td>-0400</td>\n",
-       "      <td>MASSDEP-W2173</td>\n",
-       "      <td>STORET-762955917</td>\n",
+       "      <td>WTGHA</td>\n",
+       "      <td>Wompanoag Tribe of Gay Head Aquinnah (Tribal)</td>\n",
+       "      <td>WTGHA-m43:20130606:FM:B</td>\n",
+       "      <td>2013-06-06</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>WTGHA-M43</td>\n",
+       "      <td>STORET-1041402048</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -1687,14 +1697,14 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>IRWA</td>\n",
-       "      <td>Ipswich River Watershed Association (Volunteer)</td>\n",
-       "      <td>IRWA-HB:20130630120000:FM</td>\n",
-       "      <td>2013-06-30</td>\n",
-       "      <td>12:00:00</td>\n",
+       "      <td>11NPSWRD_WQX</td>\n",
+       "      <td>National Park Service Water Resources Division</td>\n",
+       "      <td>11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01</td>\n",
+       "      <td>2013-07-22</td>\n",
+       "      <td>11:01:00</td>\n",
        "      <td>-0400</td>\n",
-       "      <td>IRWA-HB</td>\n",
-       "      <td>STORET-853064665</td>\n",
+       "      <td>11NPSWRD_WQX-CACO_HX30_21</td>\n",
+       "      <td>STORET-986369728</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -1710,15 +1720,15 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5</th>\n",
+       "      <th>4</th>\n",
        "      <td>MASSDEP</td>\n",
        "      <td>Massachusetts Department of Environmental Prot...</td>\n",
-       "      <td>MASSDEP-SM-4452</td>\n",
-       "      <td>2013-09-25</td>\n",
-       "      <td>09:05:00</td>\n",
+       "      <td>MASSDEP-LB-5142</td>\n",
+       "      <td>2013-07-30</td>\n",
+       "      <td>14:20:00</td>\n",
        "      <td>-0400</td>\n",
-       "      <td>MASSDEP-W0696</td>\n",
-       "      <td>STORET-762964497</td>\n",
+       "      <td>MASSDEP-W2173</td>\n",
+       "      <td>STORET-762955917</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -1758,7 +1768,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416607</th>\n",
+       "      <th>457005</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400495</td>\n",
@@ -1782,7 +1792,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416608</th>\n",
+       "      <th>457006</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1806,7 +1816,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416609</th>\n",
+       "      <th>457007</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1830,7 +1840,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416610</th>\n",
+       "      <th>457008</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1854,7 +1864,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>416611</th>\n",
+       "      <th>457009</th>\n",
        "      <td>USGS-MA</td>\n",
        "      <td>USGS Massachusetts Water Science Center</td>\n",
        "      <td>nwisma.01.02400639</td>\n",
@@ -1879,115 +1889,115 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>380739 rows × 115 columns</p>\n",
+       "<p>418942 rows × 115 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       OrganizationIdentifier  \\\n",
        "0                        CRWA   \n",
-       "1                11NPSWRD_WQX   \n",
-       "2                     MASSDEP   \n",
-       "3                        IRWA   \n",
-       "5                     MASSDEP   \n",
+       "1                       WTGHA   \n",
+       "2                       WTGHA   \n",
+       "3                11NPSWRD_WQX   \n",
+       "4                     MASSDEP   \n",
        "...                       ...   \n",
-       "416607                USGS-MA   \n",
-       "416608                USGS-MA   \n",
-       "416609                USGS-MA   \n",
-       "416610                USGS-MA   \n",
-       "416611                USGS-MA   \n",
+       "457005                USGS-MA   \n",
+       "457006                USGS-MA   \n",
+       "457007                USGS-MA   \n",
+       "457008                USGS-MA   \n",
+       "457009                USGS-MA   \n",
        "\n",
        "                                   OrganizationFormalName  \\\n",
        "0       Charles River Watershed Association (Massachus...   \n",
-       "1          National Park Service Water Resources Division   \n",
-       "2       Massachusetts Department of Environmental Prot...   \n",
-       "3         Ipswich River Watershed Association (Volunteer)   \n",
-       "5       Massachusetts Department of Environmental Prot...   \n",
+       "1           Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "2           Wompanoag Tribe of Gay Head Aquinnah (Tribal)   \n",
+       "3          National Park Service Water Resources Division   \n",
+       "4       Massachusetts Department of Environmental Prot...   \n",
        "...                                                   ...   \n",
-       "416607            USGS Massachusetts Water Science Center   \n",
-       "416608            USGS Massachusetts Water Science Center   \n",
-       "416609            USGS Massachusetts Water Science Center   \n",
-       "416610            USGS Massachusetts Water Science Center   \n",
-       "416611            USGS Massachusetts Water Science Center   \n",
+       "457005            USGS Massachusetts Water Science Center   \n",
+       "457006            USGS Massachusetts Water Science Center   \n",
+       "457007            USGS Massachusetts Water Science Center   \n",
+       "457008            USGS Massachusetts Water Science Center   \n",
+       "457009            USGS Massachusetts Water Science Center   \n",
        "\n",
        "                                  ActivityIdentifier ActivityStartDate  \\\n",
        "0                          CRWA-CYN20130809ROBTemp01        2013-08-09   \n",
-       "1       11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01        2013-07-22   \n",
-       "2                                    MASSDEP-LB-5142        2013-07-30   \n",
-       "3                          IRWA-HB:20130630120000:FM        2013-06-30   \n",
-       "5                                    MASSDEP-SM-4452        2013-09-25   \n",
+       "1                            WTGHA-m41:20131017:FM:B        2013-10-17   \n",
+       "2                            WTGHA-m43:20130606:FM:B        2013-06-06   \n",
+       "3       11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01        2013-07-22   \n",
+       "4                                    MASSDEP-LB-5142        2013-07-30   \n",
        "...                                              ...               ...   \n",
-       "416607                            nwisma.01.02400495        2024-01-08   \n",
-       "416608                            nwisma.01.02400639        2024-02-12   \n",
-       "416609                            nwisma.01.02400639        2024-02-12   \n",
-       "416610                            nwisma.01.02400639        2024-02-12   \n",
-       "416611                            nwisma.01.02400639        2024-02-12   \n",
+       "457005                            nwisma.01.02400495        2024-01-08   \n",
+       "457006                            nwisma.01.02400639        2024-02-12   \n",
+       "457007                            nwisma.01.02400639        2024-02-12   \n",
+       "457008                            nwisma.01.02400639        2024-02-12   \n",
+       "457009                            nwisma.01.02400639        2024-02-12   \n",
        "\n",
        "       ActivityStartTime/Time ActivityStartTime/TimeZoneCode  \\\n",
        "0                    11:14:33                          -0500   \n",
-       "1                    11:01:00                          -0400   \n",
-       "2                    14:20:00                          -0400   \n",
-       "3                    12:00:00                          -0400   \n",
-       "5                    09:05:00                          -0400   \n",
+       "1                         NaN                            NaN   \n",
+       "2                         NaN                            NaN   \n",
+       "3                    11:01:00                          -0400   \n",
+       "4                    14:20:00                          -0400   \n",
        "...                       ...                            ...   \n",
-       "416607               12:00:00                          -0500   \n",
-       "416608               08:45:00                          -0500   \n",
-       "416609               08:45:00                          -0500   \n",
-       "416610               08:45:00                          -0500   \n",
-       "416611               08:45:00                          -0500   \n",
+       "457005               12:00:00                          -0500   \n",
+       "457006               08:45:00                          -0500   \n",
+       "457007               08:45:00                          -0500   \n",
+       "457008               08:45:00                          -0500   \n",
+       "457009               08:45:00                          -0500   \n",
        "\n",
-       "       MonitoringLocationIdentifier  ResultIdentifier  DataLoggerLine  \\\n",
-       "0                          CRWA-ROB  STORET-591631481  130809111433.0   \n",
-       "1         11NPSWRD_WQX-CACO_HX30_21  STORET-986369728             NaN   \n",
-       "2                     MASSDEP-W2173  STORET-762955917             NaN   \n",
-       "3                           IRWA-HB  STORET-853064665             NaN   \n",
-       "5                     MASSDEP-W0696  STORET-762964497             NaN   \n",
-       "...                             ...               ...             ...   \n",
-       "416607                USGS-01098530    NWIS-126836828             NaN   \n",
-       "416608                USGS-01097050    NWIS-126989046             NaN   \n",
-       "416609                USGS-01097050    NWIS-126989056             NaN   \n",
-       "416610                USGS-01097050    NWIS-126989063             NaN   \n",
-       "416611                USGS-01097050    NWIS-126989064             NaN   \n",
+       "       MonitoringLocationIdentifier   ResultIdentifier  DataLoggerLine  \\\n",
+       "0                          CRWA-ROB   STORET-591631481  130809111433.0   \n",
+       "1                         WTGHA-M41  STORET-1041401688             NaN   \n",
+       "2                         WTGHA-M43  STORET-1041402048             NaN   \n",
+       "3         11NPSWRD_WQX-CACO_HX30_21   STORET-986369728             NaN   \n",
+       "4                     MASSDEP-W2173   STORET-762955917             NaN   \n",
+       "...                             ...                ...             ...   \n",
+       "457005                USGS-01098530     NWIS-126836828             NaN   \n",
+       "457006                USGS-01097050     NWIS-126989046             NaN   \n",
+       "457007                USGS-01097050     NWIS-126989056             NaN   \n",
+       "457008                USGS-01097050     NWIS-126989063             NaN   \n",
+       "457009                USGS-01097050     NWIS-126989064             NaN   \n",
        "\n",
-       "       ResultDetectionConditionText  ... QA_Conductivity QA_Salinity  \\\n",
-       "0                               NaN  ...             NaN         NaN   \n",
-       "1                               NaN  ...             NaN         NaN   \n",
-       "2                               NaN  ...             NaN         NaN   \n",
-       "3                               NaN  ...             NaN         NaN   \n",
-       "5                               NaN  ...             NaN         NaN   \n",
-       "...                             ...  ...             ...         ...   \n",
-       "416607                          NaN  ...             NaN         NaN   \n",
-       "416608                          NaN  ...             NaN         NaN   \n",
-       "416609                          NaN  ...             NaN         NaN   \n",
-       "416610                          NaN  ...             NaN         NaN   \n",
-       "416611                          NaN  ...             NaN         NaN   \n",
+       "       ResultDetectionConditionText  ... QA_Fecal_Coliform QA_Carbon  \\\n",
+       "0                               NaN  ...               NaN       NaN   \n",
+       "1                               NaN  ...               NaN       NaN   \n",
+       "2                               NaN  ...               NaN       NaN   \n",
+       "3                               NaN  ...               NaN       NaN   \n",
+       "4                               NaN  ...               NaN       NaN   \n",
+       "...                             ...  ...               ...       ...   \n",
+       "457005                          NaN  ...               NaN       NaN   \n",
+       "457006                          NaN  ...               NaN       NaN   \n",
+       "457007                          NaN  ...               NaN       NaN   \n",
+       "457008                          NaN  ...               NaN       NaN   \n",
+       "457009                          NaN  ...               NaN       NaN   \n",
        "\n",
-       "       QA_Carbon QA_Secchi QA_Chlorophyll QA_E_coli QA_TP_Phosphorus  \\\n",
-       "0            NaN       NaN            NaN       NaN              NaN   \n",
-       "1            NaN       NaN            NaN       NaN              NaN   \n",
-       "2            NaN       NaN            NaN       NaN              NaN   \n",
-       "3            NaN       NaN            NaN       NaN              NaN   \n",
-       "5            NaN       NaN            NaN       NaN              NaN   \n",
-       "...          ...       ...            ...       ...              ...   \n",
-       "416607       NaN       NaN            NaN       NaN              NaN   \n",
-       "416608       NaN       NaN            NaN       NaN              NaN   \n",
-       "416609       NaN       NaN            NaN       NaN              NaN   \n",
-       "416610       NaN       NaN            NaN       NaN              NaN   \n",
-       "416611       NaN       NaN            NaN       NaN              NaN   \n",
+       "       QA_Nitrogen QA_pH QA_E_coli QA_Secchi QA_Salinity QA_Conductivity  \\\n",
+       "0              NaN   NaN       NaN       NaN         NaN             NaN   \n",
+       "1              NaN   NaN       NaN       NaN         NaN             NaN   \n",
+       "2              NaN   NaN       NaN       NaN         NaN             NaN   \n",
+       "3              NaN   NaN       NaN       NaN         NaN             NaN   \n",
+       "4              NaN   NaN       NaN       NaN         NaN             NaN   \n",
+       "...            ...   ...       ...       ...         ...             ...   \n",
+       "457005         NaN   NaN       NaN       NaN         NaN             NaN   \n",
+       "457006         NaN   NaN       NaN       NaN         NaN             NaN   \n",
+       "457007         NaN   NaN       NaN       NaN         NaN             NaN   \n",
+       "457008         NaN   NaN       NaN       NaN         NaN             NaN   \n",
+       "457009         NaN   NaN       NaN       NaN         NaN             NaN   \n",
        "\n",
-       "       QA_TDP_Phosphorus QA_Other_Phosphorus QA_Temperature  \n",
-       "0                    NaN                 NaN            NaN  \n",
-       "1                    NaN                 NaN            NaN  \n",
-       "2                    NaN                 NaN            NaN  \n",
-       "3                    NaN                 NaN            NaN  \n",
-       "5                    NaN                 NaN            NaN  \n",
-       "...                  ...                 ...            ...  \n",
-       "416607               NaN                 NaN            NaN  \n",
-       "416608               NaN                 NaN            NaN  \n",
-       "416609               NaN                 NaN            NaN  \n",
-       "416610               NaN                 NaN            NaN  \n",
-       "416611               NaN                 NaN            NaN  \n",
+       "       QA_Turbidity QA_DO  \n",
+       "0               NaN   NaN  \n",
+       "1               NaN   NaN  \n",
+       "2               NaN   NaN  \n",
+       "3               NaN   NaN  \n",
+       "4               NaN   NaN  \n",
+       "...             ...   ...  \n",
+       "457005          NaN   NaN  \n",
+       "457006          NaN   NaN  \n",
+       "457007          NaN   NaN  \n",
+       "457008          NaN   NaN  \n",
+       "457009          NaN   NaN  \n",
        "\n",
-       "[380739 rows x 115 columns]"
+       "[418942 rows x 115 columns]"
       ]
      },
      "execution_count": 17,
@@ -2006,10 +2016,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:53:27.424422Z",
-     "iopub.status.busy": "2024-09-05T02:53:27.423999Z",
-     "iopub.status.idle": "2024-09-05T02:53:28.184139Z",
-     "shell.execute_reply": "2024-09-05T02:53:28.183499Z"
+     "iopub.execute_input": "2024-11-05T02:53:40.400046Z",
+     "iopub.status.busy": "2024-11-05T02:53:40.399646Z",
+     "iopub.status.idle": "2024-11-05T02:53:41.305735Z",
+     "shell.execute_reply": "2024-11-05T02:53:41.305107Z"
     }
    },
    "outputs": [],
@@ -2023,10 +2033,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:53:28.186608Z",
-     "iopub.status.busy": "2024-09-05T02:53:28.186428Z",
-     "iopub.status.idle": "2024-09-05T02:53:29.696722Z",
-     "shell.execute_reply": "2024-09-05T02:53:29.696074Z"
+     "iopub.execute_input": "2024-11-05T02:53:41.308055Z",
+     "iopub.status.busy": "2024-11-05T02:53:41.307706Z",
+     "iopub.status.idle": "2024-11-05T02:53:42.987684Z",
+     "shell.execute_reply": "2024-11-05T02:53:42.987128Z"
     }
    },
    "outputs": [],
@@ -2047,10 +2057,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:53:29.699331Z",
-     "iopub.status.busy": "2024-09-05T02:53:29.699153Z",
-     "iopub.status.idle": "2024-09-05T02:53:56.696479Z",
-     "shell.execute_reply": "2024-09-05T02:53:56.695928Z"
+     "iopub.execute_input": "2024-11-05T02:53:42.989707Z",
+     "iopub.status.busy": "2024-11-05T02:53:42.989384Z",
+     "iopub.status.idle": "2024-11-05T02:54:12.808232Z",
+     "shell.execute_reply": "2024-11-05T02:54:12.807637Z"
     }
    },
    "outputs": [],
@@ -2086,7 +2096,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/demos/Harmonize_Pensacola_Detailed.ipynb b/demos/Harmonize_Pensacola_Detailed.ipynb
index 57355ce..cfa100f 100644
--- a/demos/Harmonize_Pensacola_Detailed.ipynb
+++ b/demos/Harmonize_Pensacola_Detailed.ipynb
@@ -57,10 +57,10 @@
    "execution_count": 1,
    "metadata": {
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-     "iopub.status.idle": "2024-09-05T02:53:59.716296Z",
-     "shell.execute_reply": "2024-09-05T02:53:59.715866Z"
+     "iopub.execute_input": "2024-11-05T02:54:15.969936Z",
+     "iopub.status.busy": "2024-11-05T02:54:15.969765Z",
+     "iopub.status.idle": "2024-11-05T02:54:15.975080Z",
+     "shell.execute_reply": "2024-11-05T02:54:15.974638Z"
     }
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    "outputs": [],
@@ -79,10 +79,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:53:59.718180Z",
-     "iopub.status.busy": "2024-09-05T02:53:59.718019Z",
-     "iopub.status.idle": "2024-09-05T02:54:00.315309Z",
-     "shell.execute_reply": "2024-09-05T02:54:00.314774Z"
+     "iopub.execute_input": "2024-11-05T02:54:15.976836Z",
+     "iopub.status.busy": "2024-11-05T02:54:15.976520Z",
+     "iopub.status.idle": "2024-11-05T02:54:16.569479Z",
+     "shell.execute_reply": "2024-11-05T02:54:16.568888Z"
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    "outputs": [
@@ -90,7 +90,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
       "  warnings.warn('GDAL not installed. Some functions will not work.')\n"
      ]
     }
@@ -116,10 +116,10 @@
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-     "shell.execute_reply": "2024-09-05T02:54:01.069078Z"
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     }
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    "outputs": [
@@ -156,10 +156,10 @@
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    "metadata": {
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-     "shell.execute_reply": "2024-09-05T02:54:01.074831Z"
+     "iopub.execute_input": "2024-11-05T02:54:17.250602Z",
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+     "iopub.status.idle": "2024-11-05T02:54:17.253738Z",
+     "shell.execute_reply": "2024-11-05T02:54:17.253235Z"
     }
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    "outputs": [],
@@ -177,10 +177,10 @@
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-     "iopub.status.busy": "2024-09-05T02:54:01.077431Z",
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-     "shell.execute_reply": "2024-09-05T02:54:01.080486Z"
+     "iopub.execute_input": "2024-11-05T02:54:17.255650Z",
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+     "iopub.status.idle": "2024-11-05T02:54:17.258980Z",
+     "shell.execute_reply": "2024-11-05T02:54:17.258480Z"
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    "outputs": [],
@@ -208,10 +208,10 @@
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-     "shell.execute_reply": "2024-09-05T02:54:17.844533Z"
+     "iopub.execute_input": "2024-11-05T02:54:17.261022Z",
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    "outputs": [],
@@ -225,17 +225,17 @@
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-     "shell.execute_reply": "2024-09-05T02:54:17.850285Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.365629Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.365283Z",
+     "iopub.status.idle": "2024-11-05T02:54:30.369026Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.368585Z"
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    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(2725, 37)"
+       "(2863, 37)"
       ]
      },
      "execution_count": 7,
@@ -253,10 +253,10 @@
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-     "shell.execute_reply": "2024-09-05T02:54:17.867099Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.370725Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.370399Z",
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    "outputs": [
@@ -526,10 +526,10 @@
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-     "shell.execute_reply": "2024-09-05T02:54:17.873815Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.387921Z",
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+     "shell.execute_reply": "2024-11-05T02:54:30.391862Z"
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    "outputs": [
@@ -557,10 +557,10 @@
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-     "iopub.status.idle": "2024-09-05T02:54:18.011437Z",
-     "shell.execute_reply": "2024-09-05T02:54:18.010878Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.394073Z",
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+     "shell.execute_reply": "2024-11-05T02:54:30.520295Z"
     }
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    "outputs": [],
@@ -574,10 +574,10 @@
    "execution_count": 11,
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-     "iopub.execute_input": "2024-09-05T02:54:18.013555Z",
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-     "shell.execute_reply": "2024-09-05T02:54:18.041970Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.522835Z",
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+     "iopub.status.idle": "2024-11-05T02:54:30.553137Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.552684Z"
     }
    },
    "outputs": [],
@@ -590,17 +590,17 @@
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-     "shell.execute_reply": "2024-09-05T02:54:18.047655Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.554667Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.554503Z",
+     "iopub.status.idle": "2024-11-05T02:54:30.558215Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.557648Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(2725, 42)"
+       "(2863, 42)"
       ]
      },
      "execution_count": 12,
@@ -618,10 +618,10 @@
    "execution_count": 13,
    "metadata": {
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-     "iopub.status.idle": "2024-09-05T02:54:18.054860Z",
-     "shell.execute_reply": "2024-09-05T02:54:18.054311Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.559932Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.559643Z",
+     "iopub.status.idle": "2024-11-05T02:54:30.564757Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.564294Z"
     }
    },
    "outputs": [
@@ -651,17 +651,17 @@
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     "execution": {
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-     "iopub.status.idle": "2024-09-05T02:54:18.060133Z",
-     "shell.execute_reply": "2024-09-05T02:54:18.059594Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.566202Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.566043Z",
+     "iopub.status.idle": "2024-11-05T02:54:30.569682Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.569134Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<geopandas.array.GeometryDtype at 0x7f5f595a5e10>"
+       "<geopandas.array.GeometryDtype at 0x7fed63fcaed0>"
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      "execution_count": 14,
@@ -679,10 +679,10 @@
    "execution_count": 15,
    "metadata": {
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-     "iopub.execute_input": "2024-09-05T02:54:18.062157Z",
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-     "iopub.status.idle": "2024-09-05T02:54:18.067688Z",
-     "shell.execute_reply": "2024-09-05T02:54:18.067149Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.571332Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.571033Z",
+     "iopub.status.idle": "2024-11-05T02:54:30.576710Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.576276Z"
     }
    },
    "outputs": [
@@ -714,10 +714,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:54:18.069583Z",
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-     "shell.execute_reply": "2024-09-05T02:54:18.258455Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.578224Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.578063Z",
+     "iopub.status.idle": "2024-11-05T02:54:30.773459Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.772891Z"
     }
    },
    "outputs": [
@@ -733,7 +733,7 @@
     },
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -752,10 +752,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:54:18.261224Z",
-     "iopub.status.busy": "2024-09-05T02:54:18.261035Z",
-     "iopub.status.idle": "2024-09-05T02:54:18.288388Z",
-     "shell.execute_reply": "2024-09-05T02:54:18.287970Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.775582Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.775243Z",
+     "iopub.status.idle": "2024-11-05T02:54:30.802313Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.801879Z"
     }
    },
    "outputs": [],
@@ -769,10 +769,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:54:18.290402Z",
-     "iopub.status.busy": "2024-09-05T02:54:18.290086Z",
-     "iopub.status.idle": "2024-09-05T02:54:18.411532Z",
-     "shell.execute_reply": "2024-09-05T02:54:18.410952Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.804264Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.803739Z",
+     "iopub.status.idle": "2024-11-05T02:54:30.952883Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.952323Z"
     }
    },
    "outputs": [
@@ -788,7 +788,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -807,17 +807,17 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:54:18.413827Z",
-     "iopub.status.busy": "2024-09-05T02:54:18.413378Z",
-     "iopub.status.idle": "2024-09-05T02:54:18.417311Z",
-     "shell.execute_reply": "2024-09-05T02:54:18.416738Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.955275Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.954880Z",
+     "iopub.status.idle": "2024-11-05T02:54:30.958718Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.958243Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "1305"
+       "1419"
       ]
      },
      "execution_count": 19,
@@ -835,10 +835,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:54:18.419296Z",
-     "iopub.status.busy": "2024-09-05T02:54:18.419132Z",
-     "iopub.status.idle": "2024-09-05T02:54:18.421685Z",
-     "shell.execute_reply": "2024-09-05T02:54:18.421095Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.960639Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.960275Z",
+     "iopub.status.idle": "2024-11-05T02:54:30.962753Z",
+     "shell.execute_reply": "2024-11-05T02:54:30.962275Z"
     }
    },
    "outputs": [],
@@ -861,10 +861,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T02:54:18.423684Z",
-     "iopub.status.busy": "2024-09-05T02:54:18.423518Z",
-     "iopub.status.idle": "2024-09-05T03:01:31.443174Z",
-     "shell.execute_reply": "2024-09-05T03:01:31.442646Z"
+     "iopub.execute_input": "2024-11-05T02:54:30.964695Z",
+     "iopub.status.busy": "2024-11-05T02:54:30.964331Z",
+     "iopub.status.idle": "2024-11-05T03:02:12.585513Z",
+     "shell.execute_reply": "2024-11-05T03:02:12.585026Z"
     }
    },
    "outputs": [
@@ -872,7 +872,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (10,13,15,17,19,20,21,22,23,28,31,33,34,36,58,60,61,64,65,69,70,71,72,73) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (9,10,13,15,17,19,20,21,22,23,28,31,33,34,36,58,60,61,64,65,69,70,71,72,73) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  df = pd.read_csv(StringIO(response.text), delimiter=',')\n"
      ]
     }
@@ -888,10 +888,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:31.445135Z",
-     "iopub.status.busy": "2024-09-05T03:01:31.444963Z",
-     "iopub.status.idle": "2024-09-05T03:01:31.590911Z",
-     "shell.execute_reply": "2024-09-05T03:01:31.590330Z"
+     "iopub.execute_input": "2024-11-05T03:02:12.587308Z",
+     "iopub.status.busy": "2024-11-05T03:02:12.586970Z",
+     "iopub.status.idle": "2024-11-05T03:02:12.742242Z",
+     "shell.execute_reply": "2024-11-05T03:02:12.741647Z"
     }
    },
    "outputs": [
@@ -1085,16 +1085,16 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398031</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335811_1873104_173</td>\n",
-       "      <td>2024-03-13</td>\n",
-       "      <td>08:20:00</td>\n",
-       "      <td>CDT</td>\n",
-       "      <td>21AWIC-9768</td>\n",
-       "      <td>STORET-1039487062</td>\n",
-       "      <td>1873104.0</td>\n",
+       "      <th>418224</th>\n",
+       "      <td>USGS-FL</td>\n",
+       "      <td>USGS Florida Water Science Center</td>\n",
+       "      <td>nwisfl.01.95900924</td>\n",
+       "      <td>1959-02-04</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>USGS-303745086442101</td>\n",
+       "      <td>NWIS-98928104</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1106,19 +1106,19 @@
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>STORET</td>\n",
+       "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398032</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335642_1872423_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>CDT</td>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>STORET-1039486410</td>\n",
-       "      <td>1872423.0</td>\n",
+       "      <th>418225</th>\n",
+       "      <td>USGS-FL</td>\n",
+       "      <td>USGS Florida Water Science Center</td>\n",
+       "      <td>nwisfl.01.95800572</td>\n",
+       "      <td>1958-01-14</td>\n",
+       "      <td>09:20:00</td>\n",
+       "      <td>CST</td>\n",
+       "      <td>USGS-02376108</td>\n",
+       "      <td>NWIS-6891392</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1130,19 +1130,19 @@
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>STORET</td>\n",
+       "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398033</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335642_1872426_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>CDT</td>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>STORET-1039486431</td>\n",
-       "      <td>1872426.0</td>\n",
+       "      <th>418226</th>\n",
+       "      <td>USGS-FL</td>\n",
+       "      <td>USGS Florida Water Science Center</td>\n",
+       "      <td>nwisfl.01.95800572</td>\n",
+       "      <td>1958-01-14</td>\n",
+       "      <td>09:20:00</td>\n",
+       "      <td>CST</td>\n",
+       "      <td>USGS-02376108</td>\n",
+       "      <td>NWIS-6891396</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1154,19 +1154,19 @@
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>STORET</td>\n",
+       "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398034</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335811_1873106_173</td>\n",
-       "      <td>2024-03-13</td>\n",
-       "      <td>08:20:00</td>\n",
-       "      <td>CDT</td>\n",
-       "      <td>21AWIC-9768</td>\n",
-       "      <td>STORET-1039487073</td>\n",
-       "      <td>1873106.0</td>\n",
+       "      <th>418227</th>\n",
+       "      <td>USGS-FL</td>\n",
+       "      <td>USGS Florida Water Science Center</td>\n",
+       "      <td>nwisfl.01.95900926</td>\n",
+       "      <td>1959-02-05</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>USGS-303820086241802</td>\n",
+       "      <td>NWIS-6916678</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1178,19 +1178,19 @@
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>STORET</td>\n",
+       "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398035</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335728_1874876_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>11:30:00</td>\n",
-       "      <td>CDT</td>\n",
-       "      <td>21AWIC-1152</td>\n",
-       "      <td>STORET-1039490686</td>\n",
-       "      <td>1874876.0</td>\n",
+       "      <th>418228</th>\n",
+       "      <td>USGS-FL</td>\n",
+       "      <td>USGS Florida Water Science Center</td>\n",
+       "      <td>nwisfl.01.95900852</td>\n",
+       "      <td>1959-02-02</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>USGS-302330086482001</td>\n",
+       "      <td>NWIS-6916402</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1202,11 +1202,11 @@
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>STORET</td>\n",
+       "      <td>NWIS</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>398036 rows × 78 columns</p>\n",
+       "<p>418229 rows × 78 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1217,11 +1217,11 @@
        "3                21FLSEAS_WQX   \n",
        "4                 21FLBFA_WQX   \n",
        "...                       ...   \n",
-       "398031                 21AWIC   \n",
-       "398032                 21AWIC   \n",
-       "398033                 21AWIC   \n",
-       "398034                 21AWIC   \n",
-       "398035                 21AWIC   \n",
+       "418224                USGS-FL   \n",
+       "418225                USGS-FL   \n",
+       "418226                USGS-FL   \n",
+       "418227                USGS-FL   \n",
+       "418228                USGS-FL   \n",
        "\n",
        "                                   OrganizationFormalName  \\\n",
        "0       FL Dept. of Environmental Protection, Northwes...   \n",
@@ -1230,11 +1230,11 @@
        "3          Florida Department of Environmental Protection   \n",
        "4       FL Dept of Environmental Protection , Bream Fi...   \n",
        "...                                                   ...   \n",
-       "398031  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "398032  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "398033  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "398034  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "398035  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "418224                  USGS Florida Water Science Center   \n",
+       "418225                  USGS Florida Water Science Center   \n",
+       "418226                  USGS Florida Water Science Center   \n",
+       "418227                  USGS Florida Water Science Center   \n",
+       "418228                  USGS Florida Water Science Center   \n",
        "\n",
        "                  ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
        "0              21FLPNS_WQX-1536988F1        2013-09-17               11:01:00   \n",
@@ -1243,11 +1243,11 @@
        "3          21FLSEAS_WQX-028800618132        2013-06-18               11:01:00   \n",
        "4              21FLBFA_WQX-1558337F1        2013-12-01               13:01:00   \n",
        "...                              ...               ...                    ...   \n",
-       "398031     21AWIC-335811_1873104_173        2024-03-13               08:20:00   \n",
-       "398032     21AWIC-335642_1872423_173        2024-03-06               07:45:00   \n",
-       "398033     21AWIC-335642_1872426_173        2024-03-06               07:45:00   \n",
-       "398034     21AWIC-335811_1873106_173        2024-03-13               08:20:00   \n",
-       "398035     21AWIC-335728_1874876_173        2024-03-06               11:30:00   \n",
+       "418224            nwisfl.01.95900924        1959-02-04                    NaN   \n",
+       "418225            nwisfl.01.95800572        1958-01-14               09:20:00   \n",
+       "418226            nwisfl.01.95800572        1958-01-14               09:20:00   \n",
+       "418227            nwisfl.01.95900926        1959-02-05                    NaN   \n",
+       "418228            nwisfl.01.95900852        1959-02-02                    NaN   \n",
        "\n",
        "       ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier  \\\n",
        "0                                 EST         21FLPNS_WQX-33030019   \n",
@@ -1256,24 +1256,24 @@
        "3                                 EST       21FLSEAS_WQX-02SEAS880   \n",
        "4                                 EST         21FLBFA_WQX-33020LT2   \n",
        "...                               ...                          ...   \n",
-       "398031                            CDT                  21AWIC-9768   \n",
-       "398032                            CDT                  21AWIC-1208   \n",
-       "398033                            CDT                  21AWIC-1208   \n",
-       "398034                            CDT                  21AWIC-9768   \n",
-       "398035                            CDT                  21AWIC-1152   \n",
-       "\n",
-       "         ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
-       "0        STORET-308146602             NaN                          NaN  ...   \n",
-       "1        STORET-308157908             NaN                          NaN  ...   \n",
-       "2        STORET-760593202             NaN                          NaN  ...   \n",
-       "3        STORET-310466105             NaN                          NaN  ...   \n",
-       "4        STORET-291224060             NaN                          NaN  ...   \n",
-       "...                   ...             ...                          ...  ...   \n",
-       "398031  STORET-1039487062       1873104.0                          NaN  ...   \n",
-       "398032  STORET-1039486410       1872423.0                          NaN  ...   \n",
-       "398033  STORET-1039486431       1872426.0                          NaN  ...   \n",
-       "398034  STORET-1039487073       1873106.0                          NaN  ...   \n",
-       "398035  STORET-1039490686       1874876.0                          NaN  ...   \n",
+       "418224                            NaN         USGS-303745086442101   \n",
+       "418225                            CST                USGS-02376108   \n",
+       "418226                            CST                USGS-02376108   \n",
+       "418227                            NaN         USGS-303820086241802   \n",
+       "418228                            NaN         USGS-302330086482001   \n",
+       "\n",
+       "        ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
+       "0       STORET-308146602             NaN                          NaN  ...   \n",
+       "1       STORET-308157908             NaN                          NaN  ...   \n",
+       "2       STORET-760593202             NaN                          NaN  ...   \n",
+       "3       STORET-310466105             NaN                          NaN  ...   \n",
+       "4       STORET-291224060             NaN                          NaN  ...   \n",
+       "...                  ...             ...                          ...  ...   \n",
+       "418224     NWIS-98928104             NaN                          NaN  ...   \n",
+       "418225      NWIS-6891392             NaN                          NaN  ...   \n",
+       "418226      NWIS-6891396             NaN                          NaN  ...   \n",
+       "418227      NWIS-6916678             NaN                          NaN  ...   \n",
+       "418228      NWIS-6916402             NaN                          NaN  ...   \n",
        "\n",
        "       AnalysisEndTime/TimeZoneCode ResultLaboratoryCommentCode  \\\n",
        "0                               NaN                         NaN   \n",
@@ -1282,11 +1282,11 @@
        "3                               NaN                         NaN   \n",
        "4                               NaN                         NaN   \n",
        "...                             ...                         ...   \n",
-       "398031                          NaN                         NaN   \n",
-       "398032                          NaN                         NaN   \n",
-       "398033                          NaN                         NaN   \n",
-       "398034                          NaN                         NaN   \n",
-       "398035                          NaN                         NaN   \n",
+       "418224                          NaN                         NaN   \n",
+       "418225                          NaN                         NaN   \n",
+       "418226                          NaN                         NaN   \n",
+       "418227                          NaN                         NaN   \n",
+       "418228                          NaN                         NaN   \n",
        "\n",
        "       ResultLaboratoryCommentText  \\\n",
        "0                              NaN   \n",
@@ -1295,11 +1295,11 @@
        "3                              NaN   \n",
        "4                              NaN   \n",
        "...                            ...   \n",
-       "398031                         NaN   \n",
-       "398032                         NaN   \n",
-       "398033                         NaN   \n",
-       "398034                         NaN   \n",
-       "398035                         NaN   \n",
+       "418224                         NaN   \n",
+       "418225                         NaN   \n",
+       "418226                         NaN   \n",
+       "418227                         NaN   \n",
+       "418228                         NaN   \n",
        "\n",
        "                      ResultDetectionQuantitationLimitUrl  \\\n",
        "0                                                     NaN   \n",
@@ -1308,11 +1308,11 @@
        "3                                                     NaN   \n",
        "4                                                     NaN   \n",
        "...                                                   ...   \n",
-       "398031                                                NaN   \n",
-       "398032                                                NaN   \n",
-       "398033                                                NaN   \n",
-       "398034                                                NaN   \n",
-       "398035                                                NaN   \n",
+       "418224                                                NaN   \n",
+       "418225                                                NaN   \n",
+       "418226                                                NaN   \n",
+       "418227                                                NaN   \n",
+       "418228                                                NaN   \n",
        "\n",
        "       LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName  \\\n",
        "0                                   NaN                                  NaN   \n",
@@ -1321,11 +1321,11 @@
        "3                                   NaN                                  NaN   \n",
        "4                                   NaN                                  NaN   \n",
        "...                                 ...                                  ...   \n",
-       "398031                              NaN                                  NaN   \n",
-       "398032                              NaN                                  NaN   \n",
-       "398033                              NaN                                  NaN   \n",
-       "398034                              NaN                                  NaN   \n",
-       "398035                              NaN                                  NaN   \n",
+       "418224                              NaN                                  NaN   \n",
+       "418225                              NaN                                  NaN   \n",
+       "418226                              NaN                                  NaN   \n",
+       "418227                              NaN                                  NaN   \n",
+       "418228                              NaN                                  NaN   \n",
        "\n",
        "       TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName  \\\n",
        "0                                   NaN                                  NaN   \n",
@@ -1334,11 +1334,11 @@
        "3                                   NaN                                  NaN   \n",
        "4                                   NaN                                  NaN   \n",
        "...                                 ...                                  ...   \n",
-       "398031                              NaN                                  NaN   \n",
-       "398032                              NaN                                  NaN   \n",
-       "398033                              NaN                                  NaN   \n",
-       "398034                              NaN                                  NaN   \n",
-       "398035                              NaN                                  NaN   \n",
+       "418224                              NaN                                  NaN   \n",
+       "418225                              NaN                                  NaN   \n",
+       "418226                              NaN                                  NaN   \n",
+       "418227                              NaN                                  NaN   \n",
+       "418228                              NaN                                  NaN   \n",
        "\n",
        "       LabSamplePreparationUrl ProviderName  \n",
        "0                          NaN       STORET  \n",
@@ -1347,13 +1347,13 @@
        "3                          NaN       STORET  \n",
        "4                          NaN       STORET  \n",
        "...                        ...          ...  \n",
-       "398031                     NaN       STORET  \n",
-       "398032                     NaN       STORET  \n",
-       "398033                     NaN       STORET  \n",
-       "398034                     NaN       STORET  \n",
-       "398035                     NaN       STORET  \n",
+       "418224                     NaN         NWIS  \n",
+       "418225                     NaN         NWIS  \n",
+       "418226                     NaN         NWIS  \n",
+       "418227                     NaN         NWIS  \n",
+       "418228                     NaN         NWIS  \n",
        "\n",
-       "[398036 rows x 78 columns]"
+       "[418229 rows x 78 columns]"
       ]
      },
      "execution_count": 22,
@@ -1371,10 +1371,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:31.593052Z",
-     "iopub.status.busy": "2024-09-05T03:01:31.592874Z",
-     "iopub.status.idle": "2024-09-05T03:01:32.215204Z",
-     "shell.execute_reply": "2024-09-05T03:01:32.214685Z"
+     "iopub.execute_input": "2024-11-05T03:02:12.743997Z",
+     "iopub.status.busy": "2024-11-05T03:02:12.743820Z",
+     "iopub.status.idle": "2024-11-05T03:02:13.426272Z",
+     "shell.execute_reply": "2024-11-05T03:02:13.425741Z"
     }
    },
    "outputs": [
@@ -1390,7 +1390,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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MjofP68es9ZUkWqIL0d01TiFWBQKBIAydEqtVVVVcd911lJeXY7VaGTx4MLNmzeK0004D4MUXX0SWZS6++GLcbjdTpkzh9ddfD+lj27Zt2Gy24PsLL7yQN998k6effpq7776bPn368MUXX3DiiScehMMTCAQt5CbH8P2fTuT2D9ejajVoJDCbdIzIjg/bXpYkFFXF61Mw6DRh21gMGpJjw4tVh9uPRqNBlkJLvXoVWL2zko9m/soFk4fTKysBa0ygcIHXp7CnxkFWohn5GDHYXn9SHtmJ5nan+RU1kGEhzvSbJ7wEAoHgmEJSj4GSNY2NjVitVmw2G3FxHYt8FgiOV3x+hdfnFTBnwx6G5CZyxuD2XW6anB7iYvRBi6wEpMTqyEuJQRMmab7L6wcpvMBVVZWdlQ5cHj8DsuNo0W+SJIVU0DJopGNGsO6sdFDdFL7YQmsyrHryUmIOw4gEgiMDcf8WdATxCC8QHGdoNTJ3n9qT353UjftfmYUyMAe5HVW4dN0uHr5iDI69lavMBg06TeRtmj0qJn3AkuhXVGrtHmqb3Hh8CrIk4VNU+mfFIu1ndZVauQt4FDAeI2I1xqCBDohV/9FvOxAIBIKDjhCrAsFxikGvY8zoge0KVYD33p+Js6qcp++9sEMR67IkIUkSPr/Cjgo7Lu++XK2KqmLUyei1csS+Wpb7FYiiiY8aUmP1FNW42m1n0oe3RgsEAsHxzDFwGxAIBAfKpWOzaWz2Riwp6vcrrN+ym7LKOl7+3xy+mbu+Q/229Len1hkiVFtIMOs7JHrdvsgFCY4mtBqZRHP7toGvVhTx/HdbKKyyH4ZRCQQCwdGBsKwKBMcxBp2WOrsLi8mCoqjBVEoQEKpen49X//t9cNlz03/h/ElD2u3X4faj1Ug0NIef+i5tcPLxr6U0urzEm3RcMiyTzHhTm3Y1dg91TW4GZceiOcpNrN1TY7AXN+GJkJd22rxdzN4UqPb32uwCAGY9MI7emYmHbYwCgUBwJCICrAQCAV+uLMXV7CQ/Kzm4bM3GAl5/9wd27d5XLlnWyDhW/avd/ipsbhQVimqcIcsVVeXrTRXYFTWQ71UFSQIVSDdoefD0XiF+q9vKm3B6FAxaieF51oNxqF2K16dQVOukxu4NBqsV1zr4YkUxKwvqwm4zf+qJ5KYe/ccuEIRD3L8FHUGIVYFAAEC3857GpHqwxpqprGmgsrqhTRtZo6Fp5Ushie3DoSgqa4ob8fhCLy/fbq6gwadEdAHIidHyx1N7BQKsfAqbS5uC6/qkx5BoiZzT9WjCp6i4vQqTn5xLRZO73faFL559GEYlEBx+xP1b0BGO7nk1gUBw0EhIT6OopJr1W3aHFaqSLJHVI4eL/72ST5YWR+3L41faCFWH20e9N7JQVVWVnQ0uXF4figrby5tC1pc1tC/qjha0soRJJ3dIqAoEAsHxjhCrAoEAgDMmDkHSagNJVMOgKioDxw0lMy2WJ7/fxrR5BRH7qm70tFm2rtwW4hO7P5IkYdBrmbG6lPXFNlrHVimKyuKdtdz+zkp2VTVF7ONoweH2s7a4scPti2qbD+FoBAKB4MhGiFWBQADAzaf2JnHwKHT6/afaAwIzrtcAtlT4aLS7yc2I5Zlvt+L1+cP2FS6K3+VV6IjXUY2jbVCWCmwva2TWuiomP72AC5+bgzvCvo9kWgoirN/TRI29raCPxLGRE0EgEAgODCFWBQIBAL3SY/nHdeM4//arsPbqi86agC7WSkx2NxKHjUPxeSlZOI8Zr73P+llzsFeUMX1+Ydi+tGFyt6aYDe2mq1JVlfRYQ5vlkgQLtlYF368tc3L+M7M7d4BHAMW1rmAlq1ijrsPbZcS1PScCgUBwvCBSVwkEgiCXjMnhw1/LMWXlY8rKB8DX7KBu7TIUzz5LYPWeMqCM51+rZXHxZIb3TObGkZnEmQICLDlWR7kt1B9zQLqFleWN6HThiwEoqorD4aFHiiW4TFUDVbC+XLmHmv38O7fVelm1s5qRPVMO1uEfUnx+tc05SY/TUdEYvbKVTgNGnSgWIBAIjl+EZVUgEASZsaqUslYJ6VVVpX7jahRPeEG1p3APc39cypyNFUz9cSd//XE7iqpiMWrbJMGXZZlRGRZUNeCD2hpFUfH5FE7JTwwRsvUOD/+Zt5MvV+5pu3NV5YVvOlak4EjA5tyXrqqFF64d3e52q5+ccohGJBAIBEcHwrIqEAiCzNtchadVxSlPQy3+ZkfUbWoKdvFrUibbt5cho7K7uJb3bh1LrzQzBdXNwWlvgEGZ8ehkDYuK6zAYdUiShKKouJs9nNwjmV6plpC+H/hoDU5PZN/UKlv4aHpVVfl+XQVr9jSArOHkfkn0SDaTGWfswFk4NCgR3HU/vPME/vbpr+yqDs1JmxZv4OeHTibWIC7TAoHg+EZcBQUCQRCPT0FFRSIQ1ORpqN+btT+80tIYTVj7D0VrMODau2zR5lq63f4pXz14CplJ1hCxCtA3PZa+6bHUNLmod3pJjNGTZAnvkxkleQAqkGDS8NyMVTQ0e0mJNXDtyf2YvbWWv3+1CYfTF2z7/vxd9M1P4qR+KVw7IpO0MH6xhxqzPvJU/j8uGw6A26/QOz2GFIse3VFesUsgEAgOFkKsCgSCIEO6xbN0Ry0t0jRaPJSk05M4bCyyLjR7gCRJaE1mrn5zJeee1INYo47cWAMelw9Zgt7pcei0MsmxRpJjw1s6FUWlqt6O1+dneF4Ceq2GPbUOSuv3WR8lwJSVSqFqQDWo1Pskps7cwfp1BTicocFLHq/C+u3VKKpKld3Dnyd1Jymm4wFOB4MYg4ZYo4YmV2RLcbJZR6a166y/AoFAcCQixKpAIAhy5bhc3vxlV9CYqo9Pgt07w7Y1Z+Ui6yNE+EsSbh/sqmjC6fLxYakNd6vp/GF58dx/Vv+w27r9ClV2N1WNTv526VCyrCaM2oCVcVtZI2/N3Ul5g5PuuQnEWgLCTtIE+tHpdYwY1YcVy7ZS42lb7WprQS3ZqRZ+2l7DlUMzOn1+fis9UmPYWGLHF8YnQCtL9EyLOexjEgiOdFRVxefz4fcffenqBJHRaDRotdp2s8SAKLcqEAj24/MVe3jgo/XBKfiqFYvwOexA6KUiZezJaIymqH3ptDLeMDlXAUZ1T+SeM/oiQfBiVdLoItGkI6ZV9Hu900ut00uPBBOKCk63j/8sKSApJTbsRU5VVZqbHMxbUxl2/bB+qeSmxfJ/5/ZBE83P4BDh9iqUNriobvSgqAFXh9Q4PZkJRgxaMfUvOL5o7/7t8XgoLy+nuVkUxjgWiYmJISMjA32b/N6hCMuqQCAI4ZLROeSnmPnPvELmbq4kcdBwatYsR3G7WrWSkHTtT6NHEqoaWaJXehw+n4J+rzAtt7vJjjO2KRxgNWqJM2jZ3eAkPyEGk17D2UOzWV4WvgKUJEmY4yzEakqwK20vgG6PH6+i4vYpxETxIz1UGHQy3VNiyE82BcVqRywLAsHxhqIoFBYWotFoyMzMRK/Xi9/KMYKqqng8HqqrqyksLKRXr17IYfJztyDEqkAgaMOI/ERG5CcG37/9y2D+8u/ZuKpKUbw+tDFmYF8e1M5y1+l9GNk9EXnvtoqqkmzShe1PliQUVGINWnyKilYjk58Qw4qyRqJNC2llwpZ+Mug16GSpy62YkiShEfddgSAiHo8HRVHIyckhJka4yBxrmEwmdDodRUVFeDwejMbI/vpCrAoEgna5dXIfhvdI4fEZm9m4x4YKqMqBFQHtnxnH6B5JIcsa3T7io1R0kiWJ5Bg95XY3GRYDWllCp5Hw+CPL1XBxTFqNTFpSDGO6WbvEBUAgEHSeaBY3wdFNRz9bIVYFAkGHGJGfyDf3nQjAljIbD3y+kU2FDZ22rqZajfgVBU2ri5SqBqyrcgfKsQL4FAW3148U5kKnqiq2Jhcuta0LQL/uicQatJzeO7nD4xUIBEc/qgqtn201UvRsJ4IjCyFWBQJBp+mXaeW7u0/gma828ubcwk5d9XdXO0KEKoBeI7UrVAEMGhm/orB0W0UgG+x+QllRVVRFZdPO2tD+dRr6dk/khL4pXD8i85CmrWpweplfUM/qkkbcPoX0OAMT8hMYlhXboWMUCAQHD0UFn9K2KIePgL+4Vo6ez1lwZCDEqkAgOGAeumAgfzy7Lw9/uIY5G0pp9Oui+pECONy+NpZVs36vP2qEu4aqqtjcPqwGLV6/ym6nysotFfTOSyShVVWqugYXWwtrabR7ABjXL4WUeBND8xIYmG5hRHbcIZ1SLK538vKiYtx+JVhHYVdNMztrmhlaGstNo7KE+4FAcJjwK+CN4q2kqODxg04GUYPjyEZ8PAKB4Ddh1Gl54fpRrH3+ApI6kNDep6htLKsAbl/4HIqqqgZ8ZFWod/mYVVBLfbOH2gYXS9eWMW9FMUvWlDJ3eRHeRhdnDEhnUv80dBqJjFgjVwzPoW+iBZ8H5m6rZ3XxviwCfkXFr6goqkqj00eDw4s72t0tAk6vnzk7avlpay1D0mLpn2zGtDeAy1ZvY+2Clbwx7Xv+8MI3lFU1dLp/gUDQORQ1ulBtjTeM5bUr2LRpExdffDF5eXlIksRLL73UJeO4/fbbu3T/4RCWVYFAcNDISo+lxuaK2iYjTqbe5iA+LiZkCt+s12J3ezFoNSGlRpu9CmtLbdR5fNj2FhZorXWbXT5G5iXytwsGkJloCk61Nzm9rNxVh8+vsLOyCbdXISPeSIxOw7ztdah+FaMufOqq+Bgt+SmmiOtbU2V3s3BHPZmxRvolmwPpaCUYmhbL7pomVKuEddApVFY38N0vK+l/zmM8cPPpPHzbmSINj0BwiIiQNS9q+y7IZBdCc3Mz3bt359JLL+Xee+/tkjHMmDGDZcuWkZmZ2SX7j4QQqwKB4KCRkWqhrNpBdV34BN758Vr+cuFw/H4lrFDbU9vMtLk7uXVyD2Sdjt0NLirsbhRFRdNKwMaZDcGCAyf0TuZf1w1Hr5VD+rQYtUwamMZHS3bz9xmbgsufuHQI3VMtqFJkU0pDs4+NJXYG5cRGTXGlqioLd9STYTEAgawFtDqs/JQ4VDVQvCDBaqZfr2zOnDSCPz/xDglxMdxx5ckR+xYIBAdGIGCzc9soamC7rnx+HDVqFKNGjQLgoYceOuz7Ly0t5a677mLWrFmcffbZh33/0RBuAAKB4KCREqNjRP80enVLQNdK5BkNGvqm6XniqtFIkoRWG2rCUBQFl9vLy99v5LITc4gxGTFpNYzIiKXJ5gwRqgCyLNEjJx6Av54/sI1QhUAeU1VVuXxsNxLNgYCqy8fm0j3VElwfDa9fpbQuupV4e3UzGZYIJWdbjSMw5sAY+/fK4bZrpvD4Gz/g8fii9i8QCDpPlIx2UTkSXAG6CkVRuPbaa3nggQcYMGBAVw+nDUKsCgSCg8ZZ/VKQZYle3RI4dWw3JozMZuKoHE4ZncvZfZPwR8jNKssyqiRx2qgcdjT6mV9Uz7yien7cVYs7wp0nP9vKiQNSyUmOiSgWJUlCkuDGkckoPh87KppQOlFhurrJE7V9aUN0MRsOjUbmzEkj8Pv93PzyL20qdgkEgq7heP4lPvvss2i1Wu6+++6uHkpYhFgVCAQHjbHd4hmdE6jvLcsSlhg9ZpMOxe+nf89stJrwTmE+RWH27nqcGm3IDUNRISkhBrfL02YbSZLoFa9pN7peBXITTVQtmc2KLaWsL27o8PEoKvijmWnUA7vBGfQ6euZl8suGcj5ZvucAehAIBAeb49WDfPXq1bz88su88847R6wfvRCrAoHgoHL9yCxuG5NNeqx+XzlRSYp6I9hZ56TB7SPc7UKWJQxGPdWllSHLZ386kx9mzGl3PBJQZ7ODolD761Lmbq5sd5vW20YTw2lxhgPOnaqioosx85+5BcK6KhAcRA60jPHxmlVu4cKFVFVVkZubi1arRavVUlRUxJ/+9Cfy8vK6eniACLASCASHgCGZsQzJjAUCvlAfra1gw45ShvXPDWtd3VkfPiCrBUVRaLY3oygKILFl1QaKthZQBFTVO0iJj+4K8PoHswFQvR62bSvEd3pvqhpdaGSJlDhjRMGZZNEhR7mD9UuLYf72evQauVOi1enysLvWSUyqmV1VDhqdPqyHsFCBQHA8IUkB4dkZH1T5OK5ode211zJ58uSQZVOmTOHaa6/lxhtv7KJRhSLEquCoQFWh0eFi865ybE0OhvXLJS0prquHJegAsixz9fBMXisuj+gG0OwNn2O1dR+WOAs/frWQERNG8uvc5cF1T77xHS9NvSxs2VdVVVmxYTcbtpUEl1UW7ub26Stodgf2mRxr4NzhWUwekB6yvSxBVmL0vLGyLNMzNYaiGhcKoeViI5WhVRSFb35ehb5b7+Cy4/UmKRAcKrRyIOF/Z9p3NR6Ph82bNwf/X1paytq1a7FYLPTs2fOQ7TcpKYmkpKSQZTqdjvT0dPr06XPI9tsZjoCPRyCIjKqC0+PH4VEwGI0MG5DPsAE9+Peni7jpr+9S3xjdIic4crjzghHMW74FAJ9/313E71cwauSoU+GKotDc5KCmsIjVmyvxuvf5sL43YyGPvvYtPn8geEtR1WBfS9cWcOEd/wrpq6m2loJZ31G5eDaOkkJqmtxMn1/A+4sLg9sZdTIDsizEdCDxYk6iiX6ZZorrncHt/a2EqrLXvOPfe8w7iyr4emcz2hgLkgR9MmKJMwmrqkBwMJGlQGWqjqA7QkqulpWVMWzYMIYNG0Z5eTnPP/88w4YN45Zbbgm2OZL9Sg8lwrIqOGJRVXD7VRRVQtsqdZE11sT9N5/J57NWMuXWl5n3zp+IMem7cKSCjjL16nF8uXA7xTV2uqUn4vX6WLpqK+vKbfQdOyxihIMsy+xYtxWfo4mmXVvbrH/l3Z94++O53H7lJPr3zKS+0cG0T+ezfXdb/1TFHYjgV70emnZuxVNfR8KgEcxcV84JvVM4fWAaybG6Tt0Qkix6JvdLYtqcncQ66/hx4UZ8Xh/nnDaK0cN7I8kyOkkmJU7PK7uaQG8KjEGFW0/p3uH9CASCjqORA7MWvggVqmQpYFE9EoQqQF5eXrv+64WFhUycOPGQj2X37t2HfB+dQYhVwRGLf2+S5v1zbEIg6OayM0cz/ctF/PvzxfzxmpOPy6fNo5GLTurN+vImJl76d1wOJwA6vY7MPt2JjY9D3u/zVhSF6tJKirYVAuDYUxi4A+13UXe5vbz0zqxOj8ddW4WzvARzZjazN1VyQq9kUuI6//BTVFzByy+8i62pOZglYN7KbQA89ofzuef60/jf0iKWbqtBI0v4FZWbT87nopFZnd6XQCDoGLIUqEzVUihgb4G5o9ZHdebMmbz66qtdPYzDjhCrgiMWfzvl8nx+hVtvu5S/fLyGTe7V3Dm5J8Py4g/L2AS/DV9DfVCoAng9Xn54ZwYnnX8q2T1zg8sVRaFw806WfDcPtVWOVlmnR/G4D9p4mop2YsrIpqy+mUZX5xP1N9qdnHfHazTZnftraAAee/Vrnvr3d/QZPoQe3bozIMvK1Sd0Y3SPxIMweoFA0B6SdOBZAo4kVqxY0dVD6BKEWBUcsahErzKk1chkJ8aArGHu5koWbqvm3zeO4OT+qYdvkIIDYtnagjbLnI5mfvrwW+ISraRmp6MoKhVFpTQ3Odq0VTxuLLFm7GHWASDLEKEAQTgUlwsJMBu0BzQl+MF3K2hoag4rVFvweP1sWP4rDw9J52/Xndz5nQgEAsFxSqcCrN544w0GDx5MXFwccXFxjBs3jpkzZwbXu1wu7rzzTpKSkrBYLFx88cVUVkbPaXjDDTfsrTKz73XGGWcc2NEIjit8foU6e8C6pqjg9Sn88f21eHwdFymCriEp3hJxXWOdjZ3rt1GwcXtYodpCr/GjMaRkEOLoKkmYsrqhtyZ0bkBS4OFoXK8U4g8ghdRPSzZ3uO1Tb/2AxyvKrAoEAkFH6ZRlNTs7m2eeeYZevXqhqirvvvsu559/PmvWrGHAgAHce++9fP/993z22WdYrVb+8Ic/cNFFF7F48eKo/Z5xxhlMnz49+N5gMBzY0QiOKTQSeBU1Yv5KrUbmm19Lg+9VwOb08t2aMi4alX2YRik4EC4+bSg3/03G356vRxTWz15IyomnhV1Xu2ZZp/rSmmPJiDcxtmcSaQfgr+rzKVGtqiaTgfMvOoWMbpmoqsoTn6/ikcvGoD0W5iUFAoHgENMpsXruueeGvH/yySd54403WLZsGdnZ2UybNo0PP/yQSZMmATB9+nT69evHsmXLGDt2bMR+DQYD6enpBzB8wbGMVg74rfr8Skg2AAiU59xQ3MCCrdUhyzWyxMYSmxCrRzharZYbLhjHtC+iP8hGw+/zoTRU4fb4se/egd/lBElCH5eAxmTGa6vvcF99RgzlbxcMYHBOHLoDSLg4ZnAec5ZvDaapas1JE4YyaPKJuHwqTXu1qaLCoz/t5I7xuWRZxcO5QCAQROOA86z6/X4+/vhjHA4H48aNY/Xq1Xi93pAqCH379iU3N5elS5dG7WvevHmkpqbSp08ffv/731NbWxu1vdvtprGxMeQlOPaQJNBrpaAPoaIoKKqKoqrM21zFbdNW4t9PHCiKQoPN3gWjFXSWV/96JaeM6x92nUbbsedoe8E2bJvX4m92BHxU/X489TW4Kkra33gv5599Al8/ci6TB6YQZzowN/7rzh8fttJVzx7Z9J90Im5f4HuqqPtS6NjcPv61qIjmzmQuFwgEguOQTl+ZN2zYwLhx43C5XFgsFmbMmEH//v1Zu3Yter2e+Pj4kPZpaWlUVFRE7O+MM87goosuIj8/n127dvHwww9z5plnsnTpUjQRqt08/fTTPP74450duuAoRJbApJNRgZpGJ2/MLWT2lmr21IYvBqAi8Z/p31K0Zg3vPXMjZpOwWh3JTH/mZuav28N/PviJiqp6NHo9NkMC5RvXd2j75sYDfzDJzE3n7UevYtLw357nNC0lgTceu45b//pOyPJzLp6EXVUJ5yGgqmD3+FlWbGNST5EVQCA4lLh9CrZmL34lkH/VGqPDcCSUrRJ0iE6L1T59+rB27VpsNhuff/45119/PfPnzz/gAVxxxRXB/w8aNIjBgwfTo0cP5s2bx6mnnhp2m6lTp3LfffcF3zc2NpKTk3PAYxAc2UhSIIQmNdFMtxQzexYVhW2nKgreJhvexgZ+XGTjtkff54N/3nx4ByvoFMkWPT1zUnj8/qvYXGrjic/WULFkDqiHNkgutkcfrrr8lIMiVFtyN14yZSQ9c1M5/45/0WjfW3ggzoriiX4sa0obhVgVCA4RdpeP0no39Q5vyEOjhJMEs46sBAMWo0iMdKTT6ccKvV5Pz549GTFiBE8//TRDhgzh5ZdfJj09HY/HQ0NDQ0j7ysrKTvmjdu/eneTkZHbu3BmxjcFgCGYkaHkJjg+uPymPW0/eKzD2ltVU9wobX7Odho2/AoESl1/+vIYdRdGzUQi6Fo0s0T/Lgl4r8e/ZO2jYvvGQC1UAR0kRX/1aitt7cKfgh/bLpeCXZ8lItQKByjnt4RbZKwSCQ0Kt3cPGUjt1+wlVCDxg1jm8gfV2T7jNBUcQv9kGrigKbrebESNGoNPpmD17dnDdtm3bKC4uZty4cR3ur6SkhNraWjIyMn7r0ATHIJIk8fD5/fjv9QNxlOzGXVeNq6qC+o2/Urt6CYp330VHI0t8Padj08mCrsOo0+B0e6hucuOqrTos+1TcLuwuH4XVkVNjdZT9PVU1Gg2bv3+SD56/jThtxAqyQMDNJctq/M1jEAgEodhdPnZURs99DAF3nO2VzdgPoBjIoeTjjz9GkiQuuOCCg963y+XihhtuYNCgQWi12rD7+PLLLznttNNISUkJpiqdNavzFQIPFp0Sq1OnTmXBggXs3r2bDRs2MHXqVObNm8fVV1+N1Wrl5ptv5r777mPu3LmsXr2aG2+8kXHjxoVkAujbty8zZswAwG6388ADD7Bs2TJ2797N7NmzOf/88+nZsydTpkw5uEcqOKYoKS6naddWGjasxrZlHe6ayjblN2VZptl58KocCQ4NG7aXMuOXtfhagqQOIwcjdVTATUVtU9P7rImDOWNgRlh/1RYUFSZ0D58T9rNZqznvztc5+/ZXePHdX1AO87kRCI5mSuvd7QrVFlQ10P5IYffu3dx///2cdNJJh6R/v9+PyWTi7rvvDgmKb82CBQs47bTT+OGHH1i9ejWnnHIK5557LmvWrDkkY2qPTjlqVFVVcd1111FeXo7VamXw4MHMmjWL004L5Dp88cUXkWWZiy++GLfbzZQpU3j99ddD+ti2bRs2mw0IWCDWr1/Pu+++S0NDA5mZmZx++un84x//ELlWBRH54Nvl3Pbo++228/r89OshLPRHKv/9cjF/eekrGpqc7Tc+BKTGGchLNv+mPhRVpajGSZ3DS25yDDF6LZpWWQH6p1oYkRXH6tLQjCUSgWnI03olkZ9oClm3eVc5p9zwf0G/V4A5y7fx6Kvf8L9nb+L8SUN/05gFgmMdt0+hzuHt1Db1Di9un9LlQVd+v5+rr76axx9/nIULF7ZxrTwYmM1m3njjDQAWL14cdh8vvfRSyPunnnqKr7/+mm+//ZZhw4Yd9DG1R6fE6rRp06KuNxqNvPbaa7z22msR27S2PphMpi41KwuOPkqrGrj98Q/abSdLEgnWGM47ZfBhGJWgs7z03i9MffGrLh3DOf2tbfL3dgav18+0xcVsLG2k2eMjVqdhQp8UpgzOCPa7udTGnF9LGNM3lSqXnzpn4AaaGWdgcq8kRmaH+tvbm12Mv+pZ3J62U5Jen8KV9/+Hhe8/yIj+uQc8boHgWMfW3DmhCnuLyjT7SD2AoiAHk7///e+kpqZy8803s3Dhwi4dS2sURaGpqYnExK4JBhUhcIKjindmLEHpwNyOLEv894nrMeg7XzpTcGjx+Xz89eWvD1p/2rgE/E4Haou/six3yJ1gRMaB+4r+tKmK+z9cS9N+N8UNpY08++1m4s0GmpxeKmwB6+jibTVcMDqHf140AEkCk05DuMJsj7zyTVih2oKqwtUPv8eKj/5MnEl8twWCcBxoYbz983YfbhYtWsS0adNYu3Ztl44jHM8//zx2u53LLrusS/YvxKrgqGLt1pKwVYIunjKCyeP64/b4mPb5Ql796+WMHpTfBSMUtMdL/5tz0G4Kst5A4tDRyHLAkmkxaLFtXkP1nvaLAgzomXlA+1y5u547pq/C7297DIUVTWSnmNlR0RQ6TgnqGt00e3ykxEZ2cfri5/b9wYqKKjjv/xbx2d3jSIkTwVkCwf4c6ISJJkxhj8NFU1MT1157LW+//TbJycldNo5wfPjhhzz++ON8/fXXpKamdskYhFgVHFUY9FpkWQoK1lPG9OV/z92K2WRAVVUkSeK6C8ZTVdtIo91JnMXUTo+Cw826rR2rLmXKyEHSalFVFZ/DjrehNiSIzpCUgnXA8KBQBbC7fajp+dCOWM1Ki6dbZtIBjf/p78KXVW2hpNpBn6w4trXyU1VUKKlrprbJHVWsOp0dS6FTUu/kzx+v57+3je74wAWC4wRrjA4JZ9Tgxv2RAGtM10miXbt2sXv37pCy9i1BlVqtlm3bttGjR4/DPq6PP/6YW265hc8++yxiMNbhQIhVwVHFmScO4IufArlUB/XO5vN/3YG0dz619d/UpDga7U6MPj96bfhKaIKuIcHasaAm2WAkNq8nAIrPR1PBNjz11YCEPjmd2PxeyLKM3+8Hvx+NPuBrpjVbMCSm4K6rjtj3G49cdUBj9/kU1hXUR40ylqSWf0JRgZS46IGjqUlxNDVHHnfLDvyKyry9ldxykmLaH7hAcBxh0MokmHWdCrJKMHdtRau+ffuyYcOGkGV//etfaWpq4uWXX+6SwkcfffQRN910Ex9//DFnn332Yd9/a4RYFRxVXHz6cB577TvKa2y89JcrkSQpKFJbI0kS1tgYNu4sZXjfrC4YqSASf7phMm9/1n7ggKNoJ6aUNLz2RmxbQvPlOvcU4NxTEBCFrZSjxmQmcegoEgaPpG7TGjzVbUs9a3U6DPoDu/TZPb52faZVFdxuL86aCkzJ+wqiqKgkWaKL1XuvP5U/PPFx1DbG5LS9/cG64gYhVgWCMGQlGKhv9nYofZUkBdp3JUajkYEDB4Ysaylfv//yg8HmzZvxeDzU1dXR1NQU9JMdOnQoEJj6v/7663n55ZcZM2YMFRWBa6nJZMJqtR708bSHKIwrOKowGnT88O8/kJFsZWjf3LBCtQVVVYmxWjn7+YV8ubKkTR5MQdfQLTOJtMwO+D2pKrVrV7QRqvu3aY3f6aB66Tz8Tif4wgcq+bxezrjtXyxbV9DhMS9ZW8Alf3yTS+56DV071hdJAqNGxbZxDT6XC1mCGIOGy0e1n0btxgvH0zsvyrnRaIjrs+/G1ZU+dgLBkYzFqKV3WkzYQMbWSBL0Tos5akquPvbYY+Tl5f3mfs466yyGDRvGt99+y7x58xg2bFhISqq33noLn8/HnXfeSUZGRvB1zz33/OZ9HwiSegzcwRsbG7FardhsNlF69TjB5fGiStqoYhWgtsnNhH/8gqLC1eNz+cclA9vdRnDo+WDRbm67/1UUt6v9xgeArDegeKIn+e6Zm8KGrx+N2qbZ6WHcVc+wffe+ylqnXHkRW8uj+8Ml1BeyZd1WjCnpZAwbyQm9k3j75lEdGrvP5+PCe97ilyWbQ5ZrLXEkDh6F3OLuoJFY/thkEi1dm2pHIPgtRLt/u1wuCgsLyc/Px2g8sGBCu8tHab2b+v1KrkoEpv6zEgxHjVAFuP7665EkiXfeeaerh3JQ6OhnfPR8QgJBK4x6HQ6PgqYdy2qdw02cxUB6spm1Vc3c88Eqpp7dn4yE35YM/njF4fZRVOtEr9WgKApmg5bMeGO71ov9uXJ8N+5NTKSpvOyQjLM9oQqws7iamno7yQmWiG32F6oAW+Yvxjx4NM0uX1jB2i8jhrnztgLgs9Wx8vFTMRs7nmZKq9Xy5lM3cde7q1m6fCuq6seQkBIUqRDILnDJqOwOCdXFa3by0Asz2LCtFAWV/Mwk/vr7s7l0yogOj0kgOFqxGLX0ydDi9inYmn34FRWNLGGN0XZ5AYDOoqoq8+bNY9GiRV09lMOOEKuCo5aqGhvpKfERLaWSJPHlhgrGD8sKRm/7JHj8lwLU6ireuP2UkEjycAQEr5eKBjd2tx9JgoQYHRnxR9fT+MFgU2kjPdLiyE0yo9XIKIqKJEFpgxtQyU7ouOVDliWG5ycx/xCJ1Y6yvagqolhdvGZnG6EKUFFWSY7+V7qNHktRVXNQsBr0GnolaPjloy+CbWP0cqeEKsD3W6r5YWsN6VnxZPfJp6beGax4pZHAr8L4Xsk8euGAiH0UldXy5//7kgWrdlDf2NzmmK97aDr//XoFT/35CgbnxAt3AsExj0Erd3nC/9+KJEkUFRV19TC6hOPrbis4pkhNiMHnV9Bq5DaCVVVV1pU2UuH0IUsScqubsazRQHoG1//f9/zvgXP37xaAeqeXuTvraHb56ZEQg6KqyJIEKtTYvdTYvfRKiyE59ui++HWULWUBoQoEqzO1nNP4GB0VNhdrSxsZmtW+G46qqmwst9NzxEDmL9nQbvtDSbeMhIjrXnjnl4jr9uwuZc/uL8jOzaRb73y8Xg9r5q6lyBsafZyf3bl8iatKbPywtQYASZYZNTCd6nonJRVNuD0+4mJ0PHJuX07umxrynW7NI698w3P//andfc1buok/vfUL2f16k2nW8dT5/SL2KRAIBF2JEKuCoxazyUB9YzN2r0p8XExQsKqqyrJdtXyxpTogMPdDkiQURaFZZ2JTUTUDuqWErK9odPPcnAK0zU1MHpzP92tLKaiyo5EkBufG0z/dzE/zfmXWvDU0NzvJz07ilotP5PIzR6LXHZs/KUmSg9Nn+6PVyGQnxvDqggKy440kmyMLeFVV+XRdBQsKG5ASEjFbLThs9ojtZYPxkPm1piXFkZUWWaw2NDrb7aOkuIyS4sjW4cfuOKfD41FVlZ+21QatqLA3DVtiDKmJ+yL+UxNjIorKj39Y2SGh2sK6havoO2IATUjc8sE6pl0zRPh0CwSCI45j884qOG5IiAvcxKvr7SzfWceve+zMWL2HtLQ48rOsEW/qsiyT3i2LP738HU/feTbfb6hhxc5qqopLKNiyHXtdPXfceSV3vrMK397afZIEi7ZXo3rd1K5dgc8REFm19XZWrN/Ne18v4+tX7yDGdGxZW+vsHvJSIvt1Anj9CnlWE/9dXsL9p+SHfUgAWFZsY0FhAxAQZOfefAlfvv4hHlfbZPjpqQlYEhPYubXjUfstnHriQLYXlLOnrDZim2f/dFHUPvrkp7Jk7a5O77uF8yYN5oyTOp5yptmrUNoY3ddWlmBzpYOB6bFh1z/yyjedGmNzkyMoTk0WA/9bvofrxuZ2qg+BQCA41Bxd3sUCQQRSEiyc2D+dGatLaHL5I/rg9UgwctOwTK4ZlME1gzJ49I4LUbVGiqubmPvVTNYtXEpTTS0ak5mvNtbj9SuoBIRVsGiRRkfC4FFIcqDYQEvezSVrd/G3ToqFowGnN3Kt+tZIEhTZ3Dw6cwfeMMW5VVVl9o5Q8RhjMXPV/TczYtJYYhPiMJgMJKQkMOH8SaT1yjsgoaq1xPL1y7fx7B8vIDm+rcjWaGRe+POlXH7myKj9PPaH8C4irclJT+Da88aG5G2NizVxwYUTyTllIvd8vZWn5xSwZHdDuyVm28vfWl7ZwHfzC/jzO6vJv/d78u/9nnNfmBeSkm1PRX27Y96fsoI9gf0rKrN31HV6e4FAIDjUiNRVgmOKzaU2rntzBeZYIwN6JoVMaY7IiKVfcngLoQR8NWsZL//nOwDi+gzCkplNJH2hqiqN2zfiLA8t62k06Cie/TSx5mOnZrvL66e8wUNavDGixVRVVV6bV0Ch3YOqqiTF6LhuZCY9k/a5Zzi9fu7/bnu7+1NVFa/Pz4f/fBsljOhtjdaaiN9uQ1VUZL2e2J790EgSnoJN2JtDrZRpSbH84aqT+eN1p6LVdmxS6d5nPuXNTxaEXSdJEnOm38vYId0BsDe7KKhzM211OYqqBr87LdP6g9It3DomO+KDlKKqPDJrJ/XOtg8Hc5cV4vREvlQXvHAWqqpiHnF3h46rNUnpyZx/2+UAOJo9vHP1kE73IRAcKIc6dZXgyKajn7GwrAqOKfpnWVn0t0n8fkI3FEUNsToNiDKVrQIXnzku+N6YnBZRqLZgSEprs8zl9rJ+e2mnx30kY9Rp2FjSEHG9X1FodHop3DuFLUkStc1eXlpYzN2fbWLN7o5b+xRFZU9FE99//2u7QhVAo9WSdtLppE+cQuq4U5A1Wuo2/tpGqAJU1jbx/YKNHRaqAC8+dBl/u/0sYoyhrh05GQkhQhVAp9fz7poK/Ioa8t1p+e/GCjvzdkW2XMqSxMk9EtssLyqtjSpUAbrf9wOyLKPXdb60cG1FDbaaelE0Q3BM0+D0srSogbm76lha1ECDs+OlWAVdj/BZFRxzGPUarhibi39xAYsrXSiKwuQeye2KT5+i8uRDV/OXZz5AaiellSRJSJrwbRxu/4EO/YjlhF5JLNlezYl9UkMCrXx+BZ+i8uKcXQGHyr20WFP9Wpl7P9vI1SOzuOXkfDJi9ZQ3tfVPbUGWJeoanCje9vOkAqj+UCukbVv07ALL1hWycuNuRg3M61D/AA//7iwe/t1ZLF6zk/JqG8P65dIjJ6VNu1UlNly+yAJbBebuqmNSz8SIQUyn9EhkV20z68vtQYvspl22Do3T4/FxwalD+fTH1R1q3xqnw0lcUjxposCA4BijqN7JrG21bKhoCrkHyBIMSo9lSp8kuiWYum6Agg4hxKrgmOXqE7rDoh18s7aU3BHZ+HztW45OGtUXAK+9EV2cFUkKL0hVVUVnjiNtwhRUvx9XVRnUlTO0VybpGam4fcpRl3A6GokWPcO7xfPuogKG5SbQIy0Wl9fPnM1VrCixoUSw6EmSRL/uSbz40w4G5ViZ1DORD9ZUhG2rKIHp/4oaB7q4yFH6rdHE7LOW+9yuDmUOuOUfn7Lyg/vRd/LzOWFYz6jri+oDpVWjPRTVO304PH4shvCXXo0sceuYbFbusTF/Vz1FDR3LhKAoCpPuf59BSQcmNk0WM16fwt2TegSXbS9vYuqn61lT1ICqBm7uY3om8ezlg8lJionSm0BwZLC2rJHpK8vwhflRKiqsK29iU6Wdm0ZlMSQzfNCi4Mjg2LmbCgRhuPrEXrxzy3g0HczG0zIV2lxaHFGotiDpdEiyjN6g5/bLJ/LZq/fy2J+uxOGFX3c3sq3cHjbQ6Ggl0aLndyd3572lRfzp68088uN2llXaIwrVFmRZYvzQTP67oJB5O9pG56tqwF1DUVVWbqxAUUFrikE2tG/tiO3eG4C0pBj6ZHZMQBWU1nPbtFUH/bOJVk0tpF07uUxlSWJMbjwPnpKPvgNfXNv2TVQtmMXqhat456ulHRpDC5IkkZabgTHWzFXD0smKD5zzlQW1nPncAn7dHRCqELi5L91Ry6Sn5rG1vLFT+xEIDjdF9c6IQrU1PkXlvytLKapvP1Xdweatt97i5JNPJi4uDkmSaGhoCFm/e/dubr75ZvLz8zGZTPTo0YNHH30Ujyfy7NSB8thjj9G3b1/MZjMJCQlMnjyZ5cuXh23rdrsZOnQokiSxdu3agz6WcAixKjjmMRn1VJRVd6jtvz8I5Kh0VZXhrCwNCqn9kSQp8AL+eGZfTh+UiW4/S12dw8fGEnu7F8ujjd9PzMfj8XfKP1Kv09CgQGkYF4CWKXEJcLr2TevHDxwWtU9zbndkrY6RA9IZ3j+NnJyOJeBXVYX5W6v5atXB8y12ef2oqFGtqhLQLcGIqRPnbUBa9JRhtm0bcZYVd7i/kPFIErIsc9klk3jtov6c0mvf+bvprZURj8WnqFz35ooD2qdAcLiYta22w9den6Ly0/bIae4OFc3NzZxxxhk8/PDDYddv3boVRVH497//zaZNm3jxxRd58803I7b/LfTu3ZtXX32VDRs2sGjRIvLy8jj99NOprm5773zwwQfJzMw86GOIhnADEBwXnDYyn3V77HijXLwMOpkPZ+yruWzbsh5PQx0xWXnoLLGoaqC8aEB2BBiUG8/wvLZBMS24vAqVNjdZnShFeqQzINvKef2SmbWrHpNR2+Ek8okJJlRan719BIQTZKfHUlgS8NHUx1pJHDEe2+Z1+J2OfW21Wix5vTBn5+1dEPhMY+Is6PQ6vJ7ogROKx4Ozsox7ntrMV4MzeeSmyfTJbxss11HWlzcxfWUpHn/0G6MKnN47qVN9n9oriReNMs2utlZgxefDWb6nU/21Znj/HF586LI2/ruz1ldgb8fvurrRzbrieobkdsxdQyA4nDQ4vWyoaOrUNuvLm2hweok3da488m/hj3/8IwDz5s0Lu/6MM87gjDPOCL7v3r0727Zt44033uD5558/qGO56qqrQt6/8MILTJs2jfXr13PqqacGl8+cOZOffvqJL774gpkzZx7UMURDiFXBcYFOp6F7spEd1c6wFiOtLPGXD5YTl98LV2Upfq8Hv9eHs7wkkJ5KktAYTaSMmRiy3YQ+qfgVBU2UgKyqRs8xJVYBrhiTw4huCUxftocGvwoSUUWrJEntTpOrgNViCFmmj7WSMmYCiseD19GERm9Aaw61NlZUN5OaaA60NxraFauqz4ttyzoAviwu4svvljKwVyZz37kPS0znPqeieidvLy9p16KqAucPSGFoZudS6+Unmvjv78dxxYuL26xzFB9YwYJLp4zgoVvPoH+PjLDr52yu7FA/P22oEmJVcESypcrRbkDt/igqbK1yMLZb/CEZ08HCZrORmBjZQHIw8Hg8vPXWW1itVoYM2ZfKrrKykltvvZWvvvqKmJjD67cuxKrguCExzsAgg4ZdtS7cbj9+RUUrS+j1MnsanZw1sQ+nj+9BY0U1WmczWZmpJFgt1NQ18sPsVcxesbVNn8mxhqhCFcATJUL8aKZXuoWnLuhHqc3FU7N3oarRBWu7qERMnyTr9Rj0ba2SiqKwZekqdi+0I8tSu0I1Eht3lDH84ifZPvMfHWpfbfdQUNfMvF3tp+UalG7h/IGppMca2m0bjjG58STH6qnZz4XC7+qcj505xsBDt5zBn26YHPVzMmg75qZg1AkvMsGRSbSsHIdiu8PFzp07eeWVVw66VbWF7777jiuuuILm5mYyMjL4+eefSU4OuAepqsoNN9zA7bffzsiRI9m9e/chGUMkhFgVHFfEGLQMymzrBzgoKxAJ6vMrbCpNptmjsFd9kZwYS79e2Zw/pZwnv9uKW9YHb/b1Dk9IKqdwtBdQc7STZTXirapCl5YesjzgNtHxY5dlieq65g63d1aVY9u8FgBH9KYdYk9FPR98u5yrzx0TsU1Ds5t7Xv+Zggob3fp1x5oYH7VPWYIYvQarXmbQQ99jb5WRK0YHP089hcyE9i0Upw9M55Ple0KqYGmMHUu3c/PFJ3D6Cf2ZPLZfh0oBXzkuh/8tLmq33WVjcjq0f4HgcGM8wEwsB7rd4aC0tJQzzjiDSy+9lFtvvfWQ7OOUU05h7dq11NTU8Pbbb3PZZZexfPlyUlNTeeWVV2hqamLq1KmHZN/tceR+MgJBF7CryhkQqsBeB1VkWUaSJLp3S+fGE3JCBNjCbVXtitEYfecTtR9NbNtTi5yc0sYqGk6oFm0tYNE3c1j8/Txqy0Md91VVJV6vCfq0xug1nDc8i39eOZTheQnoNBKSBBaDlvHZpqBQPZi8/L85EddNvulFMk74E59+8COrZi9lxhsftdufqkJpnYP+D/0UIlQBmr1wwt/n8tmy3e32c8OEPCRC/X3Nud0jNQ+i02r418OXc94pQzokVAH6ZVnJS44uoAfnWEmzHluuLYJjh36pZjprI5Al6JtqPjQD+o2UlZVxyimnMH78eN56661Dth+z2UzPnj0ZO3Ys06ZNQ6vVMm3aNADmzJnD0qVLMRgMaLVaevYMpPIbOXIk119//SEbUwvCsioQ7MXtVahzRJ5G1mhkThrWk0/W19PQ7EVVFNYU1bOppIG+mdaIotUac2z/zN6Zvw05Jj6iFVVRFLxOF5+++j5e977zu231JizxsZxz0yXEWAJlWR88dwC7q+zM3lRBTZObOrub4tpm/nhGX7StijDc9ddDc8Gubwxvo+1/zmMUltaEHpdfwd7QhNlqiWpBnr2xKuo+H/xkExeN7hbx+1NV18g/X/8aeVsBlTY3xtR0TNn5yFodpvQsnBWRsxo8fNuZyO24qYTji3tOYPLT86hvbvt7yIg38tEfxna6T4HgcBFv0jEoPZZ15R0PshqcEXtYg6s6SmlpKaeccgojRoxg+vTpB/R7PlAURcHtDjxl/+tf/+KJJ54IrisrK2PKlCl88sknjBkTeTbqYHFs30UFgg5SVdfEzyt20r1nftR2sizROyOO5TtrQJLwuz3845253HxqHyaN7osmTFWr5NhjuypQlQcMUQxxsiyjNRhChGoL9oYmvnz9A666/2Zi9FreX1jAL5sqg8n1ZQkWba8hJymGh88bgDUmcC637ig5JMeSnNDWReSzH1e1EaotbFm1gZGTxoVPcQAoaqB8bHtc+vICvrx3Ypvlz/7nRx577buQZV57I46iXZx20Zmcd8EVLJm9iA+/WxFi2dbIEg/ePIWHbj1j/y47RKJFz8q/T+bteYV8uLSIJqePBLOOGyfkc/X43MN6wxQIDoQpfZLYVNmx1IE6Wep0po6DQUVFBRUVFezcuROADRs2EBsbS25uLomJiZSWlnLyySfTrVs3nn/++ZA0Uunp6ZG67TQOh4Mnn3yS8847j4yMDGpqanjttdcoLS3l0ksvBSA3NzdkG4slcK3s0aMH2dnZB20skRBiVXDcsaOymWa3H0UN+JrWN9g458Z/cuLo/jxyX3SxCoQGEul02OvrefqFD3kz3sKwAd3RaGS27ixh8oQh3HfD6cdUJatw+CMptVaoauTABY/Lw7qFq8jp358VWwJWyJb7S8vfkrpmnvxmE/ee0590sx4lSn8taLQazrv1MjwuN0lpSXz/7ldtXA/254GbprRZNvWlryK237x8PTm98kjNSQ8RcMFSqTtrcXvaL7+7ptjOT9trqHV4idFrGJkdx/IVW9oI1RYUv5+5X83kw3sncdPEa/nX1Mt55YM57Kmop09+Gr+/fAJa7W+7vGs0Mref2oPbT+3RfmOB4AijW4KJm0Zl8d+VpVEFq1aWuHFUVpeUXH3zzTd5/PHHg+8nTJgAwPTp07nhhhv4+eef2blzJzt37mwjCFs/nEqSFNzmQNBoNGzdupV3332XmpoakpKSGDVqFAsXLmTAgAEH1OfBRlIjhd8eRTQ2NmK1WrHZbMTFdS41jOD4odntY0u5A0+Ysqtmg4ZLb/8//vviPchRnJ38ispd766kYe/0qKqqKB431Uvnhm3/+F3n8mAYAXS4afmZ/6Zo/Qhc9sIskvNyIrsB+BX27NjN7E8j5+QzWcwkjJ6IEuam4rU34nPYkTQaJp48iJ6Z8bz+jzdwOqNXcTFbLVx+zz5fqtrKar5+69OAigxD77w01s34W5vliePuxemK5h6iYdAJwxg6YVRQsHZPNDGlTxLnPrsg6hhbc/aE7i1u0igqfP3a+9TW2qJuc+/1p/LUHy/s8D4EgiONaPdvl8tFYWEh+fn5GI0H5iNdVO/kp+21rC9vCklnJUuBqf/Teyd1iVA9WBQWFtK7d282b95Mr169uno4naajn7GwrAqOG7ZGEKoADrefL/79J3bUNpMao0cOI7wUVWXJjuqgUIW9+UMNRmS9AcXjbrPNs/+ZxR1XnIwl5sDSFv1WdtY0M3tHLZsq7Sgq5MQbOblHIqNz4g6KcH3y39/z85fzufiOK9EZ9GGnhyVZYuPStVH7cTndQaFqjdEwdlgOkgR+v5+v3/yExvqAaPt263qGnjic3oP7sG75hqh9DhoXWgErKS2Fs6+/kF8+mYnb6QpZl5yVxvfT/hS2H4NOG1Ws+v1+1i5YxZCTRnLl0HSGZ8UdUFCdCrQ2HbQnVAG++GmNEKsCQRS6JZi4dUw2DU4vW6scuHwKRq1M31TzEemj2ll++OEHbrvttqNSqHYGIVYFxwWVNg/uCEK1hSaXn7Hd4imqdaKqAXEqS1Lwb53Ty5erw/tKqkr4aelmp4eZCzdy6ZQRv/kYOkqj08vnK0r4YGkxlY1uLDE6cjPiSE4wsafBxXury9he7eCa4RkHLFhVVeWqB/7DV7MDyfVnffAtU64+F70xIMolSULxK0iSxOLv51G5pzxqf5IucNM448S8YClbCPi7XvyHq1H8Cu898xaKz8ev81bQd9RAEuPN1DWED4jqlp3C1eeOY02lIzheSZJIy83k6gdupmx3CWUFe9BqdfQdOQC90cDjP+3kyXP6kmoJ9TG+bMoI3vp8UbjdBNHqtPROtTCuW3xIoNTdk/P51y+FUbcFGDc4NeS9EuH7tD/uA8wrKxAcb8SbdEd8wv8D4c477+zqIRwWhFgVHBeU2Vz4FZUim5Oddc04vAomrUz3BBPdE2LQ7hUYdQ4vA7Pj2FzRREW9mxidhmavn131Tgrrm4m3mqis35eMXVUVvE2NqL7IoqHe1vHcob+VwmoHV7y6lOpGd3C22+H0UlnbTKxZz5jBGeh1GpYV2+iXamZkjvWA9vPXf30dFKoANWVVfPbK+/Qa0pecXnlotDJVpZVsW72Jxrr2LYQxWd0486T8sOJZkiQ0Wg3XPXQb7z71JgBbV27k0cduYeHMhcxdsT3o5iDLUsD3+N7LkWUZvVbL2opGXD41JO9rZl42mXmhPmBaHXy+rpw7TugWsvyFhy5l2peLQ3Kc7s/FF5/MneNz20T033t2/w6J1YT40MAuWZaRZbld0ZqXldxu3wKBQHC0I8Sq4LjA41P4pbCW6lZT+A6vnxqnl221Dk7rnoRRq0EFtBqZwVlWftpRS3nTvql9RQWNJlSMSJKMo7gg6r7zsw9PlKmiqNz89kpqmgJCVa+TyUmPIz3ZjEYjYWtys25rFUP6pmLQaZi7q+6AxOqCldt54Z1f2iz3uNxsWr6OTcvXhdkqMpLewITTR7Zr5dVoNSSlJ1NbUYMkSSxdvpnv37wLl8vDsvWFaDUyYwbn0eRWafYoaGSJ4d3iuFqTwbDbpzH+tLFoolRnkmWZjZUOGl0+4oz7Lo0ajYYVn0xl3JXP4vG1DZa69bIJ/OvPF0Tsd/1TpzP44Z8irj9rQvh8qTm98yjaGv279cTd50VdLxAIBMcCQqwKjgtWlNqoCZMzEqDR7WfJHhuT8hPR7NUyfkVlUEZsiFiVJLA3uwNWvL3Vrdx7duGrC59HU5IkMlLimDSm70E/nnAs3F5DYXVg2ttq0TN6cEYwN6kkScQYdWSlxVJRYyc92cIeW1sf2/aoszk4547XDtqYtbFWEoeMJi25Y4GRU649nw+fm4YKLFy7h1OfmsdfL+jPKaP7BNsk6mD/ytkFm3ZgMesZcuKIqGmXJEmisK6ZIZmh4+nfMxPbypd5/aN5vPHxfDxeH0P65vD249dijY0enBFr0lH44tmsL6rnun8vx+b0k2CSefKK4Xy/qy5SvBcnXXAqZS+V4HWFDyQ7e+JAThxxbPupHS14fQpztlSxfGfg8xzdPZHTBqaG5AYWCAQHjhCrgqMam9PLu0sK2dPoxqSTGZObwOT+aSH1zZtcPnbUNkcUBSpQZndj9/gYlhy/d5kaknJKVQPTyAWbClCQsGhVbj1jAKcOHMKpN72Ax+PH32rKVpYlJOC1v14VNvfqoWD5zlo0soQKjByYgUYTqLwlS5BhMaDXyDS5fZBswevzYzB07uc/d/k2zr3j1ajT4R3hzEnDGNY7i6vPHUN6SjwFVXa+3FRJZZSCDC3o9HsDIlTQGAwUVDu46e2V/O2Cftw0cZ+FUlVVNlc5mL+rjqJ6F5f87lIaaxs65KP70ZoKeqeYMenaWmHvuPJk7rjy5A4fa2sGd0vgs7tPosa+7zhzrUaKba6w302DXs8tD97Elh/nMH/ljqCrQ4xJzx1XTOQfd59/QOMQHFy2lTdx09srKat3Bt2J3llQSEa8kWm3jKJfVtdlqCnYU83nP/1KfWMz+VnJXHbmCOJj2y/vKxAcaQixKjhqeX9JAUsrXHvLompp9sLMXTZ+2FRNc5OHJIues4Zm4pcl/B3QV40+X/D/Gkmicq9VtUUkbFu9iZr1qzEa9Hz+/iP0zTCTYNYxZ/p9TH1hBvNWbg9uP6xfDk/ecwETR/U+qMccjYDBVyUz1YJeFxCqfZJiGJIWi76VYG5weVlYWEuv9NgO911UVssFd73xm4Xqw7efwwM3nxHiP9ozLZYHUi1MX1XCpgp71O19wc9IxZiWFVz+xFdbuGhkNvFmPaqq8uWGSubsqg8WFzDHmjHFdCw9TaPbx9wddZzVPyViG4/Hx3P//Ykvf1mDz+dnaL8cnrnvQjJS4iNv41NChCrAiIw4qps9OL1KiGCVpYCV9/bx+fS+8G48Hh9bCsqxmI30yIk8LsHhpc7u4erXl9Gw90GrdT7PKpuLq15fxs8PTSQ59vBmA/F4fdz95Me8+/UyNLKELikNU2YOT8yrQvX70NrrefbG8Zx3Yh+ueeIrtpQ1YtRKTL1iDKeP7onZZAh5yFZUlXqnD1mCeKP2kKTAEwiiIcSq4KjkmzUlrYTqPlRANegoKyhl9qpGvlhZwm2ndWyqNNkSyPGmqCpev8raskYg4Iu5buEqNi4L+GK63B5idBLxe8uoDu2bw8y37mZPRT2llfWkJMTSI/fwC4pR3RN4cw4kxptQVRiYamZYelurTrxRy/n903n605UkeF2cPy5gkVQhbMougH9/uhCv1xd2XUfIz0nljhvO4swT+wOh+V53FlUy7fMFSJJMY1ImcYnxYfuQgB/f/QqAmOw8tKZ9FiIV+L+Z2/nHJQNZU9bEnF31AKF5FTVy0ELu9/uDQUzh+HpDRUSxumLDbk67+UU83n3+qxW1jZx18lDOPnlIq6lfFZ20z8+5ydX2/MXoNJzZI5kNVXZ21TvxqyoSMCjdwhl9k8mNDwhsvV7LkL45YcdztFDf2ExNfRPJCbEkxB3Z1r3SeicfLN7NvC3VKCqM6p7ItSd0o3dG6APex8v2UOfwEC5buV8NZOb4cGkxd5/eOXcNVVVpaPZhc/pAhViThgSzLuLvc3/ue/Yz3vtmOUgSlr5DMKVmoKoKkhT4bqomMw98XcD9X+5AY7CgxplxAPd/U4Ty5U5QVVRFwd/cxKDuKQwa1hPn3if+FLOO03onMb5b5BLLRyIVDS4Wba+myeUj1qjlxN4ppMcfWO5WweFHiFXBUYeiqswqsEEEoSFJEj3757N+wcf4s3vz46+lDBmY3q51tUdSDL696ZZ+//gHLFhbgMvpwmELLZeZlZZI/+zYNhfqnPQEctITftOx/RZaD0evkRicGnpjNepk0uONxMfokCSJD/40mUXbqnl98R621jhQVLAatJzcI4FJvZKCU5oA38xdF9GNoj369crmtaduB6DO7iVrr0NpWVU9E65+htr90k8ZzSYu/N2VmCz7LKEScOHAVD6wNWHJ64W5W9uqSst31fK/RbvZWO8KVpBqjavZxfyvfqZs156gtdxijWXUaSeQ339ff5Ik4fQqbC9vaiNO7M0uJt/0It5WgVaJcTGs/eZxLDGhNz5VBY8K5bVOTHop5Hy2xqTTMDrLyoiMONx+hX4ZZjKPoZvoxh2lPP7ad3y/YCOqqiLLEudMHMRjd55Lvx4ZXT28Nny2vJiHPtkQ8qCzvbyJ9xcX8dRlg7hy3L6yk9+vLQsrVFtQVPju17JOiVWnx8/WcgcurxKsDVduA51Gom+GGYsx+m17T0U9//1yCaqqYs7pjjElUJazRagG/i+BRouk0e57vxdZG7g+qKqK1mhiewPsnF/AkN4pZKRaqHZ4+XBNBRVNHi4elNbh4+oq1hc38PovO5m9qSrE8q2VJU4dkModk3syODe+6wYo6BCdcqZ74403GDx4MHFxccTFxTFu3DhmztxXlcblcnHnnXeSlJSExWLh4osvprKyssP933777UiSxEsvvdSZYQmOM9aVNUUUqi0ofoWeg3ph27KOohoHmRZ9xKKgsgR9U80km/WsKqjjmudnMePH5dRWVLcRqpIk8YerJqA7AgMn/j5jMwD1Nhd58SZaayOTXkPvjNigUIVA/fgT+6Rw5fAskmICuUVtbh9fb67mhfm7gxd2n1/B4TywfJ4GvZYXH7s5+L6lT5vdyeBzH20jVAFcDicfv/QOHs++wKK99be49a5rseT1DGvR2VFh55EvNtG035Q6gKvZyaf/epfSncUhZQrttibmfv4jGxb/GlymKCqOZg8Lt7Utzfr4a9+FCFWAT176PZYYY0h+WNgnADISjOyucVHZGL3ilkaWiNFpSNovz+vRzOpNRUy87v/4cdk2TJk5xPbsR0xuD35cVchJ1z7H2q17gICw9yng9oHLF/jrV0BRAn89/sDLpxBVHP5W5m+p4sGPQ4Uq7HvwefjTDawtaggut4exlu+Pw91+ud0WfIrK5lI7Lq8S3G/Lvr1+lc1ldjy+6OnMvpmzLniti8nuFrHd/t/X1stb/4XAb2LN1iqqavf9XufsrKOwztlm+yOJWesruPSVpczaUNmm5KpPUZm1oZJLX1nKTxsqumiEgo7SqTtudnY2zzzzDKtXr2bVqlVMmjSJ888/n02bNgFw77338u233/LZZ58xf/58ysrKuOiiizrU94wZM1i2bBmZmZmdPwrBccWaksYOtFIxmWPwO5vx2ur5YkEh2daAtarlEtzyN96o5cdlRYx7dBa3/3cleebAzWX/67hGlhg1sBu/u2zCQTmOg0mj08vumkA+17IqO3pZCrmpd0uOCfpBtkYjSxi0MpcMTg9ZXtTg4octAbG2ZU8DsZbOlyOUZYnH7r8KvT60Skyz28f1D/4nJCBtf1RFYf6XP4csm7OzlsvG5rW733Bi5uePv8fniSwsVs5eitvlCo67uKIxbD3xr+eEpuWKsxgZMTAv4nRoiyDIiDfQ5PJj0kW/5CaadSGBfUczPr/C395fzNALziF1/KnE9RqAObsb5m49SRxxIrr8/vz+7x+hqOBuEaJ7t1UBrwIeJfBXUQMvnxJo6+9YzYROoSgq9/xvTbvtps/flze3d3psm9y6rdFI0DvDEnH9/lQ3evBEmQLyK1DRThYPe7MLWZbQGE1oDMaDOlW/rtUDnCzB4sL6g9b3wWZ9cQN3/29Nu+Le41O46701rC9uODwDa8Xvfvc7evTogclkIiUlhfPPP5+tW7eGbVtbW0t2djaSJNHQ0HDQx7Jr1y4uvPBCUlJSiIuL47LLLgsxNs6bNy94Pdv/tXLlyoM+nv3p1FXx3HPP5ayzzqJXr1707t2bJ598EovFwrJly7DZbEybNo0XXniBSZMmMWLECKZPn86SJUtYtmxZ1H5LS0u56667+OCDD9Dpjv7yZ4JDiyoRYh0LiyTR3BSwAvia7dQ0udE4PZzZO5m8RBMJJi1pFj0WVL5eUMjmkkYyE2L4+A/jePGes3n78WvolbuvqlCcxcg9153KD/++C5PxyLN8NbayfPoVlS1F9UGxHWPQYNJrIt60NLJEz2QzyebQ396Cgnre/WopJ172d3YURq9AtT/dc9N47anbGTOsbYDZ9go7i1ZvD7NVKCU7i0PeN7h86A3tlzGtbXAGS7cCeDweqkvan+FZ9ctSVFVlT0UjNfUuhue1denw7Oe3O3ZIj3bFgKqqWIyBc+tTVIzaCO4AepnuqUdHjXKHx8/sHbW8vbyE/6woYWFhPa5WosCvqDw/ewfG/F4UVDhbWSr3WfMMKekUEo/d6cXjU9r/TbeiRcAeTJbsqA34iLbD/G37UtVddUK3qEGHfhWuHh/Zurk/tfbo1neAmqbosxw9u6XiOxRqnkCKrkZ7QCwrKpQ1dT793eHi9V92titUW/D4FN6YvesQj6gtLTppy5YtzJo1C1VVOf300/H721rjb775ZgYPHnxIxuFwODj99NORJIk5c+awePFiPB4P5557brAwyfjx4ykvLw953XLLLeTn5zNy5MhDMq7WHLDPqt/v57PPPsPhcDBu3DhWr16N1+tl8uTJwTZ9+/YlNzeXpUuXMnbs2LD9KIrCtddeywMPPMCAAQM6tG+3243bve9H0tjYEUub4Fgh22rk15LGkIjy/ZFlmR3rAk+oLX5ZqVYTSQYdJ2TFAwHLz7byRrJP7sGpA5Lpn7UvQf41543l6nPHUFxeh9vjo1tmIgb9kfsglWQxhPhpzt1YwWWjc9FpJIxhUjCFI81ioKZV+iinT+Ge5z5vI9Da49zTRvHHW8+L+NmoKh3KKhCuhG19B9JbFZbYSEncF8BTV9Z2Oj8cNeXVFOxpYGdRA73TLYzMbytW87OTqazd5xrSHCEH6v60CDGvX2Vgt1gaHD4qG914/So6jUSa1UBKrD6qle5Q0uD0smKPjYomD7IEwzPj6JdmDvsZbqm089byErytLIBrSpv4ZlMVvx+Xg1YjsbK4kWK7jx1FkS1vkiRhSs3khL/Pwe72EaPXcOGobG6a2IPMhPZFu88P+oMYdbG5rP1KawD+Vsc9sU8yl47O4bMVe0J+fy3/v2BkFpP6p4bpJULfHfhdKO2I+nMmDiLRaqa+0YHf5UQ+yNZVm91N3N7rjekInQWoaHDxy6bw+a8j8cvGSioaXIc16Oq2224L/j8vL48nnniCIUOGsHv3bnr02OdH/8Ybb9DQ0MAjjzwS4np5sFi8eDG7d+9mzZo1xMUFgnLfffddEhISmDNnDpMnT0av15Oevm8Gzuv18vXXX3PXXXcdlkC7Tn/TNmzYgMViwWAwcPvttzNjxgz69+9PRUUFer2e+Pj4kPZpaWlUVET2B3n22WfRarXcfffdHR7D008/jdVqDb5yco7uKFlBZDw+hZI6F1vL7WyvcFDV6GZ0rjX44whXjlJVVTYtXx8o8ynJmJJSyEow0SstNFhGq5EZkB3PqQPSQoRqC5Ik0S0zid55aUe0UIWAT+ro7vtS4Td7/Hy6rAggxMoYDXcYK0RHtwUwGXT875+38sjdF7V78erQtW2/NlpZYs2GQqgsxl1Zglkvh/VDrmlwsmVXLRAYv87QMUu4rJGpa3QRb9bx+o0jwh7DP+4KrRi1ZM0uvD5/VKugJEnUtbKY6TQy6fEGhuTGMTLfypDcONKthi4Rqqqq8sPWav76406+3lTN8mIbS4tsvLZ0Dw98t501paGGgCq7hzeXBYRqiz9ly5E3exX+b0ERz87dzZxddTS7fNgjFOIIIknY3YGHoWaPn4+XFnPRSwspqIqewgxA4eD6r+o76Ic+sFXVN1mWePqyQTx64QCyEvcJ7MwEE3+7oD/PXzEEuROfa4y+/QdLUzttDHodbz1+DbIk4dhTGOWh8cBOnm6vQFWB4dldl0M2Gou2V3c6zZ5PUVm8veYQjah9HA4H06dPJz8/P0TTbN68mb///e+89957UQua/BbcbjeSJGEw7EuxZjQakWWZRYsWhd3mm2++oba2lhtvvPGQjGl/Ov1c2qdPH9auXYvNZuPzzz/n+uuvZ/78+Qe089WrV/Pyyy/z66+/dkqZT506lfvuuy/4vrGxUQjWY5DqJg+7KkOT+dfaveg0ElcPy+D9NeU0NzowW/f5hHlcHjYs/ZV1C1cDYM7uhtFk4I7Tekf8jqXHH94ciIeKf141mMlPzw9avL5fW4bbp3DF2G4Bn9UoN02Hx0dhfWiwhOx24XVHtxzKskxGShzXnDeOWy+bSFK8hdI6J02uttNYeq1MapwejSzzwC1n8c+3f4jad3LmPotUeeEeFnz5Mw7HvjHatm3ElJpJbN+2U2OFpTZq6pvJzYzDarGg0WrwhymV2preQ/oxuGcSU8/pS0qEvJgnjujF+ZOGBH1XFUXhy59Wc/lZo8O2V1UVRYW6vRbhWKMmoihdvr6Q1z6cx/xV2/EqkNqnNxndu9EnN4XrT8hlWHbnS+MCVNpczNtShcur0C8zjlHdE4K/hfkF9Xy/JfwN2ulT+M+KUq4boTIm17q3fR2KqnYoM4S/I8mN999GUbG7fDz40Vo+v+fETm//WzilfyqP7w1SjMZd+0X2azQSN0zI47oTu1HZ6EZVIS3O0KY0c0dIsxra5OLdn3Rr+w9fZ08cxI9v3cNjr3/HhrJiYjJzURUFSZb3iVRVRUUNyRLQHhKQnBDwf08w6Rh5gN/JQ024NHEd2+7AAkl/C6+//joPPvggDoeDPn368PPPP6PXBz5jt9vNlVdeyXPPPUdubi4FBdHLLx8oY8eOxWw28+c//5mnnnoKVVV56KGH8Pv9lJeHdwGbNm0aU6ZMITs7+5CMaX86LdP1ej09e/ZkxIgRPP300wwZMoSXX36Z9PR0PB5PG8ffysrKENNxaxYuXEhVVRW5ublotVq0Wi1FRUX86U9/Ii8vL+IYDAZDMCNBy0twbNHk8rGzMnzVKa9fRadK/GF8DsN6pLB5xXpmfzqTnz78lo9fepd1CwOR3TGZuVx0/gSm3TKa/JTwQQ7pVj0JMcdGBrfcJDOz/jyB7inm4LJfNlbw++kr+Hb1nqiWlF921LaxRKye377T/OhhPdjw7T946LazSYoPnGNdmJt0nwwL/bNiSYkzkmDWMfW2s6hc8hKXRRB5ACdfdDoAlcVlzPzfNyFCFfZG7VeUUrc+/Dibmr1s2lmLv8nDeadH3g+AVq9j6OgBPH/F4IhCtYWP/+9Wpt56BrHmQLvbH32PVRsDQTct53jfX9hWts9tICsh/BTjax/O4+Tr/48vf1lDo2xG1380NmMqW0qb+XpZEZe8sJjb31sTdiahBb8/EEnf8rI5/dz/4TrGPz6bhz7ZwOMzNnH5q0uZ/Mx8NpXY8CsqP25r35L08dryoO/furKmNr6ikTSZyajtmAV9/+NQVDaV2NhUEn1aXqKDFvoO0i3ZzJlD0qP2OXlgKuN7JYddJ8sSGfFGMhOMByRUIfAwE02MJll0JJo7Nstz4oie/DLtj6x77SpGmu346qrxOprwNTYQb6/gtqGxeGoqO2VhzcuMRauRSbXouefE3CM2GDC2nfRekbc7/DNoV199NWvWrGH+/Pn07t2byy67DNfeYM+pU6fSr18/rrnmmkM6hpSUFD777DO+/fZbLBYLVquVhoYGhg8fHtaaW1JSwqxZs7j55pvD9HZo+M13aUVRcLvdjBgxAp1Ox+zZs7n44osB2LZtG8XFxYwbNy7sttdee22IjyvAlClTuPbaaw+baVlwZFJW74q63utX2VJs4+zeSfx+/KUUl9fz1c+rKalsICnezJknD2VQz/Rg2VVbs5eyBje2Zh8qYDFqyLAaSLLoDou/zcGmpsHB2zPXU2f3Mig/masn9UMjS+SnWJj98MmU1jazvKCOGL2GSf1T0Wk11NldmE1G/IqChBS8Kc/eWcvCgjpgn6/daT2TeO7sW/H5/WzfXcG6rSV4fX6WrtnJ17PX4N4bWb9s9Y42Y0sw6ylt9fn1y4zFsLeiFuzLSKDTanjzsWtpsDn4afGmYHtZljjzmnOJS7Bi0Wv4+ts5Uc+Fp64Gr70JnaVtRS6NJHHdSd1JMPdlW1Elmze1tUxotBrOvfkSrhye1eGk64/ccQ6P3HEO5dUNOJrd5GUlgRyIVvf5lUDFH4c35Hucn2IiwayjxuFh8e4GSmwu9BoZi9/Fn1+cAYA2Pglr/6HBbYLuLqrKrDVl/Nmo5bnLBrUZj88PvlaaQ1VV/vTBGuZurgyKyxZNUlTTzOWvLuW1m0bSFCGtks+vUFHtoNnlRafTMHt7NWf2TwtmSLAatPRPMZNnNaGRJRweHz9srGDR1ioczsA2WakW0pPNVFQ7wj50toikSL+/rWWNDIhiuTsU2eP+ecUQGhxelu6sbZOr97zhmbx0zdCDv9NWSJJEXrKJGL2G0gY37r0prPSaQEaJjHhDp69X6clWPnvi8rDrHr7xZD6fs56vFmzD4/GwYlslakY+sm6fYG6JDeiZFsPvp/ShX7qZPinmDv9WuoITe6eglaWwGT0ioZUlTugd/kHkUNLiztirVy/Gjh1LQkICM2bM4Morr2TOnDls2LCBzz//HNj3m0lOTuYvf/kLjz/++EEbx+mnn86uXbuoqalBq9USHx9Peno63bt3b9N2+vTpJCUlcd5554Xp6dDQKbE6depUzjzzTHJzc2lqauLDDz9k3rx5zJo1C6vVys0338x9991HYmIicXFx3HXXXYwbNy4kuKpv3748/fTTXHjhhSQlJZGUlBSyD51OR3p6On369Dk4Ryg4KqlzRJ/GURSV4lonf/pwLT1SzahATZNKcmwql/XOoXe31KBQBbDG6LDG6Nq9QR7p+P0K1z79LXM2VeKsKMVrtyFJMvcmpXDf1RP4yzUnAJCVFMNFSaFVgpJijSgqNHkVdtU24/IoNLt92OweulmN+FWVjFgjE3omkh4buCnqJA0De2UzoGcWfr/CDReewBN/vIjL732DNZsD0fo19XaSEyytRKhMutVAhc1NrEmLMYKPXUvi8befuIFzfvcSkiRxzTmjGDt+xN58mioNNgf/qm0/8MVZtAPdgOEhyywGDa9ePwJrjAGnV+HVR29k5sqtvPvRbOwNjWh0WroP7M2YU0ZxxfAsRhyA/93+5VW1soSqCXx/PT4/iWYdMXqZ1DgDBp3MgoJ6Pl1XgbS3DGyLILrkzquZ+b+v0XfvEzw34ZixfA9/PacP1pjWYiIgVFsHHK7f08DsTeEzIPgVFZdX4YNFRegS2laSKq1sYuOOGvyKiiQF+r+zoJZrTuhGSmIMBgkm90hGlgIVz3x+hdd/2s6a1sFULh+2JjdGgwa9XoPH4w8RfqqigCThKNqJuVv4vLmGKGm+ZCJbdH8LFqOWD+4Yw9KdtXzzaxkNDg/ZSTFcPianU+WJfwuSFAi4S43TB32D9ZrwOVEPBpdMGswlk0JdaTaVNPDc15soq3PQMyOWu88aQN/Mo2cGMz3eyKkDUpm1oeN53icPTOvyilYtFfZaAsi/+OILnM59M0orV67kpptuYuHChSEBWAeT5OSAYJ8zZw5VVVVtBKmqqkyfPp3rrrvusGZv6pRYraqq4rrrrqO8vByr1crgwYOZNWsWp512GgAvvvgisixz8cUX43a7mTJlCq+//npIH9u2bcNm61jUpeD4pCPTUpIEnr3pWXZV7UtU3ej08ex3W/loSTGf3T2OlDjjftsdnSK1hQsf+ZxFa3fjLNuX1kkF3DWVbCwoZ9rcnfTKSaR7koms+NAo4J1FVbz/3XJKKxtITYrlqrNHMzg/lc1lDronxDAoJw6NHD6xvSRJaPeK/wSrmRmv3sWYm17Dn5LNxKfnI8syuUkx3HtmH04blEF6vBFZljAbtFGzNkiSRKzZyLKPpiLLsKPSEUzNkxpnINWs4eMXbufjmcv56ufIOTB7JGj527VD+WFdwL/q7KGZnDNsX87mlu/UuF7jmHrpaNaX22ly+0gw6RiUYWkTXONXVBqcXjSyhHVvLXSvX2HlnkaWFDVQ1+zFatQyrpuVMbnxIdOhkiSRZNG3Se6/pcrOJ+sq9o5n32cHYLKYOfHis/h1R0PEY2wZ13dry0PSIbl9fpBCU5N992sZGlmKGGTiV1Tmb6ni1HHdQrarrHGE5NJUVUixGkmMNfDhkmL8ioosSazbUcNV47qRk2Dmy5V7QoVqK9xuPxazntSkGEor7cGAPY+tDvvunXht9eji4jEkhpa21coSE/oko5P3FgfYu1wiYFHVSAfXBaA1kiQxvldyxOn+w4UkSegjpDk71AzIjuedO0/okn0fLO6Y3JO5W6o7lL7KoJP5/amHRvxFoqCggE8++YTTTz+dlJQUSkpKeOaZZzCZTJx11lkAbQRpTU3Abadfv35tgtl/K9OnT6dfv36kpKSwdOlS7rnnHu699942hsM5c+ZQWFjILbfcclD33x6dEqvTpk2Lut5oNPLaa6/x2muvRWzTnhDZvXt3Z4YkOAbp6MzNN6tLwi5XVSipd3L/R+t593fRfRWPJjbsKGP5ztoQoQpw4oTh/Pm28zAbtAExoMKeWjfbK5sZ292KUSvz0AszeOWDuWg0+yLoX3jnF645dwyv/OVKmtz+NkI1ElqNzD9nbkfK64dGVVEJiKLCagd3v/crl4zO4R+XDiY1rmOBa5IksbnKzoA0M7VNXmJNWrqnmJHlgOU1K2UAU04ayEtTmznjlhfZWtDW4T853sK5w7M4d3hWxH20YNJpggFD++PxK8zaVsOCgnqa907BZsQZmNQzgUUFDRQ17CvlanP5KG5wMW9XPfdO6EasIfrl9KdttUFL5f7IGhmdyQQ0RO0DoKFV+i5FValp9pEUI4ccY73D0+611uNT6JFopKA+YMVRVZVtu+tC2mQmmqht8lBjcwWFtaKqrC+sZ1OxjYfO78+s9ZFz8KpAk8PDoN7J9O+ehNvjR5JUPn7ux73jk2guLwkRq7IEl4/NCX5/NPK+c3aUP2sKDiODc+N55bph3PVe9MIAeq3Mv64ddthLrhqNRhYuXMhLL71EfX09aWlpTJgwgSVLlpCa2vF0Z7t37yY/P5+5c+dy8sknH/B4tm3bxtSpU6mrqyMvL4+//OUv3HvvvW3aTZs2jfHjx9O3b98D3teBcGxElgiOKRraS3dD4GZcWh+51J9fUVmwtZrd1Q7yWgUcHc28+OUqmsv2hCzrP6gnf7vjgmCEeeuIf4NGZnmBjdVLf+WVD+YCATeC1nzw3XIS4mJ44t6LO/yQ8MvGcr5cGXhQCCduP1+xhxN6JdEzXotL1jEgp22+0taoqspXGyrokZSPQSvTI3Xf59W6/ziLibnvPUiv0x/C3hyajPzBm0/v2OCBwpIaispqSbCaGdw7K7gPr1/h1cXFFNQ6Q6asKxrdfPBrRVDk73+aqh0e/re6jDvG5xIJv6KyfW+FsUjEdKDgAUB+yr6p+y1VDgyatttlJJgCxxVFsMYZtVwzIotn5+3G7QuU1N0/1ZQqSXi8/jbHrBL4Lr0yaxtOb/vlROsaXMTHGokxBSzQWr1ub6YJFb+zGYnAd9evqJw2MI2/Xdg/ZHshUgUHwumD0vnsrnG8MXsXv2wMLbmqlSUmD0zj96f2OOxCFSAzM5MffoieEWV/Tj755DYPoYWFhcTHxzNkyJDfNJ5nnnmGZ555pt12H3744W/az4EixKrgiKMjxVd2dSAPI8CaovqjQqxW2T2sK2vC7VNIj9UzJDMWnUbG5fWzsqSRXbXNrCmqx2cPzXt5w1VT0MhS2GAHWZIwajWsLqiNuF9VhX9/uoBH7jwPbQf9j16a2X71qYfeX0nR/F8449rL+fCuyCmIVFWloMpOud3LngYX2ckBIRapZrnRoOPxuy7gT89+ElzeJz+Nk0dH93Gvsrl48pMVfPzDaogxozXGoHjcxEoeHr1qDFefOZyFhQ1thCqElgANh0mnIdVixO5W0GlkZAm0cqjA8nfAtSXGpCcryURJtQMpQj5Fs0HLqQPTgu9X7rGhkyUuHhxapvqikdn8Z27kijwaWeLycbmkxRr4y6R8/vdrGSsKQoMasxNjKKmNLLBVwNaBIg0tbVvwuNwhKdFkCaYMTic51sBFo7IYmht/1LvrCI4cBufG88aNI6hocLF4ew1NLi+xRh0n9E7uch/Vg8EPP/zAww8/TEJCdKPA0Y4Qq4Ijjtb103Ua0MgyPr8S8OHSyThd3g5HonZVRaCO4vErfPBrOatKGgPWJSlQotGkkzmtVxI/ba/F5VOor6qlZEeo+NDqtAzKS4t6LhRVZcIJg/nqu/CJnQE8Xj9zVm7ntHH9OyQSimoc7bbxafR89taD3P7qbJZvymXswLYlJwPBBPDwJ+vIzk/C7VMwGyKXhW3Z5rxThwbF6tC+2cydfl/E9gCF1Q7OfGIWTr9MTH7vYD8AHuAvM0vYUm5Hm53ZofyhremRFMPNo3PQaaSge4BfDaSR0sn7ItZ1skSqRU9VO+U0bzylJ099vj6QsSGMYH3qsoEhgYN2t58tVQ7OH5Ae4saRn2rhxgn5TF9Q2KYPjRwI4PndpECUb5JZzx9PyqOoXwqnrC0LnoNEq4GSuujWYACtRsLXTk7VJGtAFCiKwrZfQ3OZnjEyjzduHNHufgSC30J6vJGLRx+enKCHk+eee66rh3BYODKTpB1nqKrKwlU7uO+lb/n9P2fwf+/Nobquqf0Nj1EsRg0mnYxRJ+P1g8ur4FMC6aocLj8qMkPz49vtR5ZgTI+kdtsdbloSnyuKynury1hdErCWtggdAKdX4ZvN1bh9CpXF5Xzzn89w1IYGsegM+rA5TVsjSxJmY/tJxP8zawtOT/RKTJ1l9fpd1K5fzZk3Psd3c9eGVMNSVZV6h4fr/72Usr0CLsmsD1uRqjUtAVk3XjiOdTP+xtKPHsLYzvFd8/oyXJIeuZXlWJKk4AtZ5v31NraVdi7wM86gDQpVWWrr79u6fr0kSUzsHt3yoZUlLhiayX9uGoHGE/pAkJ0Uw9s3j+C8/Xxyk2J0yBK8sqhonwV472d4/9l9+fM5/YiP2XfcsgSnDUzjy3tOIMkS6lPcLdnMpAGpwQe8jn4X+mRGTi8lAVaLHmusAcWv4Gi0s2HJr/uOWSPz3AMXd2g/AoHg+EVYVruY+sZmbnruG8zdumHt1hMZ2OlXuP61uVwwMIXbLgyfo/ZIxeP1sXD1DuobnfTISWFo3+xOT+lJkoQkg9Md3h9ABbTI9EiJYVd1eMuPLAXyIqZZj5xpnj21zbz+y05mrC7F7VUw6TWkpZjpnh2PMUJwjl9RmPvFrICv6X7iwd3sotHtw2rQRjzHiqpSVt3Q7thWV7i58tXFzLh3wt4goPAR/Kqqkp9qZkdFdDeMtDgD//fmV8H31z74H2KMeq4+byzW2BgWrtrOxnqI7d6Hk0dlkxtvJDPOgMunRs0eoKoqBr2O1x+5ut1jAvjm17Kovs3Q4nIgsbuogcHpsZS6fKjtymYY2y0+KFQj4VdA3msIPTEvgW3VzawvbwrJ4SnvdS29eHA6siwxrl8Gu964gj21zZTWO4mP0dEnIzbknPgVlYJqJ3FaDYoKJY0uHvlxG9eMyKZnUgzy3pyvfbol8OTVQ0kzaXF5FXqlWUiN8pv46/n9WVW4GLvLx86yxnatprIEv5vUkxd+3MruyrbfCaNBy/D+aaiqyu4tu1g+axGu5oC7QazZwPdv3EVuxpH3QCkQCI4shFjtQlRV5XevzCJz+JAQK4askenWrweLbQ7SFmzCIMFjr33Lzj1VaGUNk8b24cl7LiA/u2tTq7RGVVXe+mwhf3/9e+ps+6xCg3pl8erfrmT0oLxO9efyRHdcVYH/u3YkF724AEUN3DQVNZDSxq/CiLwEnri0bfL0rmJbeROXvbIEh9sfTCfk9PgpKm2kvNrB+KGZmMJUTynZWUxzU/hpd0VRWLhmJ+eMjRyVKUsSi1ZsRpblsNWPZFlCb4lFF2tle4WdE6fO4I1bxzOoeyAaVSUQNW7UBRSXJEn88Yw+3PnO6qjHm6d3sWY/5+Nml4e3P10QfC9pdUw6bwJxZgOXDQlUuZOQiFbMU5Ik3B4fO8qdePyB4gYWo4bseAMxYarWvDl7R4cflipsLt76aQdjeiaRnBGLgkS6Rc9No3OZvbOGlXtsISPrl2Zp1x3Fr0LLpypLEteOyGLVHhsLC+uoaHKjkSDZbKDB5eXjteVAOfmJJs7qm0z/NAs5SW3zoPp8Cmv3NOH1qySa9PRMMLGz3onTp/L28n0BeLIEqRY990/Mw6TrWPBWXoqZr+89gWe+3cpPGyoYmJfI+sK6iO1H906hT7qF/948ijcXFjJ7QwUOpw+9TiYrNZac9FhO6ZXI2f1SWJDkJ9keSL1zwaQhXHT6cOGbKhAIOoSkHsx5vy6isbERq9WKzWY7qkqvzl9TyMe7HMhhonkBFL/C7o3bmPd12wo+kgT/e+YmLj59eJgtDz8vvTebqXur8LRGliV0Wg1zpt/H8P6Ro6Vb09jkYlNl9ApWAAatjK3Zy+YyG/M2V1Jrd9MtOYYrxuZy6oBUtIeixE0Ulmws4dGPVrGjQQFZxqh6uHhEBo9dM47zX1rC9gp72LyXEpCUYGL0oIw269YuXMWa+StQI4Tqx8Zb+Pfz95AaZwwRTi3WyY1VdhZsLeG7aV/gdrlC+tHIMnq9lpiBowCJ+vUrUTyhUfbaWCspw8bw5/MHcP2EfFQ1MN399y838NHS0BRaLVw2JoeC1b8yc+6vbbIP7M+Df/89N5zQnfxEEwAe376cmuHw+hQ2ljS2WS5JkJdkIj1+39S2x6fQ94GZnfZDhUAVrgaHBxXITYrhqvF52CRCUlfdNyGfrA5Y7ltr6NYly71+hTeXFlNUHxrU1dL/VcPSOSGvrevAlnJHSPoqVVXZWG1nS40Dz14rqCzByOw4LhmcjjlCUYb2qLW72VPbzNM/bGfF9ppAwFgg2xSqCgPzEvjk92OIadW/X1FYW9ZEjcNDZpyR/mmWI95vXNC1RLt/u1wuCgsLyc/Px2g8cmbJBAePjn7GQqx2Iff/dwHN1qSIkb8APq+X9//5H5QwN31Jkiie/RTJCYenskok6hubyZ/8MG5v+KpTGlli4qjefP/mXR3q753vV9KnT6922+m1Eh5f6Ne3V1oMybHt+2gebP774wb+/kMByDKSFPg8WwSjFRc22r/QnjwqhxhTqHV149K1rPxlSVT/wfjEOO67+wpG980OJrdvdHlZV9FEUVNAfDoa7axbtJoda7fi9/nQajVMPnEIp04azbPfb6FmxYKIaY5kvYFH/3YL3XMTmdwrGYM2kNNz/uZKXpi5jcLqwPRvfoqFe8/qQ/8sK399cQZfzlzarlitXPgccRZT8L1PCbzC4fL42VIW2ZdbkmBwViwxxoB4anR6GfLwT1H33xFapNbEfqnccnpvVu1poN7p5ex+aQxMt0S1DsqAvpVY9fr3+SX/sqOGH7dWRxTTsgRPnNELayu16/OrrCwM71vrV1TqnF78qkpOvJER3awHLeXT4p21TFuwm+omNwlmPded0I3J/VLa31AgaAchVo9vOvoZCzeALsQtySiqSjS7h1anwxhjCjsVrKoqf/vXN7zxaMf89w4VM35Zg8cXuTyqX1GZs3wbZVUNZKbGt9vft2sqOiRWdRoZjy80x6O2C6w4dY1O/v79LtCE+o62/L9BNXRINDQ1e9qI1Zzeeaz4eXHU7RrqGnnksbewxMXQo0cOmqQMnOYExg3Zl87IHGdh/FkTGXvGSZySaSEtPga9TofL66dpx2dR83EqHjeFm7dTS18Gp8aSk2RCVVUm9k9jYv99aZRaBPX6IhsnjR3AZ99FHrdGlpk4qleIUAUos7lYWFhPeZMbVVHJjDPi8PrZXtVEnE7LmNx44gxt3SVaMgsU17vomxFIVWYxaIkzaWl0Ri/d2x4tZ2belipO6pvC78bndXhb7X4/bp0GVF8gldXiwvqoVl9VhWVFDUzps8/dx+6OnNNUI0ukmPWhgz5InNAziRN6Ct9SwdFLaVUDc5ZtpdHuIs5iZNLYvmR14H4kODIQYrULSbGaKFfCB7HYmtzUNbpAhYlXnEdyUizNTXa2/bqZras34fMEpgFnL9t6uIfdhvJqGxqNjM+nIOv0mDJzMCSlIskyXls9zWXF+Bx2KmoaOyRW/bKETivh9UW/4/5aVEef9H2RyBpZIi7m8H+ln/hoOZL2t9dI1rSysEuATiNhTYqnW9/uFG8rbCc6W8Le2MzOWh9JyWbG9wlv9ZJlmUovZGsD50mvkXDXR87D2sIvc1dz28jB1No9mA0aEi36kPFIkoSiqny0bA8DMq0M6J3DkP55bNhaFJIFINA2EPj151umBJepqso3m6v5aXstEoH1AIX1zqDod3i9zNhSxbAUC4OzAp/7yoJaZq4tY3tFwDVgQLaVP53Zm4n9UpFliSvH5fL2nIKorgUdRQLeX7Sbc4Zl4fUpaDUy1hgtRAjG0soB6+j+6LXQ7FZpdEcX0ZIE5U2hbhkdnQcTrqACQYDVm4r4539/4ocFG/C1mrbRamXOmjCIB286nRED2qbWExxZiNRVXciV43sh7+dX6XR5WbKmlCVry9haUMfWwjrW7Ghg5eYq9GYLo04dz7k3X4LB1JK3sOu9ONKS4vD7FXTWBJLHTMSS1wtdrBWdJQ5TRg7Jo04iJqsbqUkdc1fokWTivcW7w97oW4gxyOwob6JVSXayEww0OX3sqXWyp9aJrdl7UFMxRWJ1YT1qmOClFjoSRKLTyiRYW8pLSozOtfLoaT24fkQmV153Fhn52WH7SkhJJCY1HXNOHhnjT2boxNGcNCKbmDDBWi3UVNby3S8r+WH2KnbvqeqQFa6h0RG0WhfXOnn8q02sLqyj1u6h0ubi02VFjH30Z56csZF//bI94Nf6wNUM6psHBFIU6bQaJAkMeh3vPHU9E0b2Dva/rNjGT9sDorllOMHUUnuRZQlJllhe3khJrYOPlxbx4sytbK9oRFEDAXabSmzc8NZK3pwdyEl7+6Qe5CbHRP0udRSVQM7W7eV2imudFFQ5WF/cSFOzm+JqG06PD5fHx+odZUybsShwbiNg0EkdyDdA0K2jBbO+Y5dsa4xeCFbBcc/Xc9Zx6k0v8s2cdSFCFQKBit+0rJ+7rkvGt2vXLi688EJSUlKIi4vjsssuo7KyMrh+3rx5IWn2Wr9Wrlx5QPv8+OOPkSSJCy64IGS53W7nD3/4A9nZ2ZhMJvr378+bb74ZXF9XV8ddd91Fnz59MJlM5Obmcvfdd2OzhbolzZ49m/HjxxMbG0t6ejp//vOf8UWZee0owrLahfRKjyNVW0yFR0KWZbw+P0vXleEOM9Vna3KzfH05J47IxpoYz7gzJzDvy58Y1Dt8LfTDyUWnDeP+/5uBddAIJE1oUvcWf9y4Xv0paVLITovUyz4evGQUz8wp5p7/reK1G0aF+KVqZQmPonDlq0v44YEJWGMMbC1rIsmio6rRg9Pb6oJU78akk+mTYcZ0gEEmHSGKy3GHufu0nlxxQjdcPoWkGF0went0rpXRuVamntaLpWt38Z/PFtHQ5GRAzwx+d9mEYEaIrVUOft5Ry9aqyAn7HY125n/5ExXFkWu5R8Iaa8K592K/cEc1nywp4pMlRWHbLttWzejuSYztnsR/nr0NR10NX89ZR7PLQ7/u6Vxx5iissfum/1VVDQpVq0GDze3///buPDyq8mz8+Pec2WeSyWTfFyAh7LusKiAI4oJbS6vWldZqbWtd+lZbrbZ9KdbaWuvvrVWLVKyKSrVSN1ywsiP7TlgkQHayb7Of5/fHJCGTzEyCEBLo87kuLuXMmXPO82RI7jzLfYcN8FVFwWLS88aW42w5GHhP+9/XWv//d+/tZ8rABIZnxvDPe6ew8N/7eHdLMd6WBaN5yVEcKm885dlyVVGCAl+/JjhU4WRdUS2HqopOZjNQY3npf9/myflTmTFxcKfr6FSFYSlR7ClvDFvmVhMwKi34FzyjQSXWqqemOfI3/wyHKeLrknS+27LnKLc+vBi3J/K/FbfHxy0PLeazl+47qyOsTU1NzJo1i5EjR7JyZWAT9aOPPspVV13Fhg0bUFWVyZMnU1oa/P360Ucf5bPPPmPcuHGnfM/CwkIefPBBLrrook6v3X///axcuZJ//OMf5OTk8PHHH/ODH/yAtLQ05s6dS0lJCSUlJTz11FMMGTKEo0ePctddd1FSUsKyZcsA2LFjB5dffjm/+MUvWLJkCcXFxdx11134/X6eeuqpr9FLJ8lgtZf9/PIhPPPZAb5q1Dhe2oArzJo0IaDZ5aOkopGsVDs5QwZg+djKEw9cd5afuLO4GBtXXjOTNaXhgwwFeO7TQ0zsxrq35Hg7g+wKhhFpzH9hI3VOL2lxZhqbPdS7NKLNen53wyhSHFaEEJQ0uMLm5nR6NfYUNzIqK7rHsgPMGJbKok2RSpoK9D4XV0wYwPKtJejVwJS5ogRqod96YTY/mJmLGmH4z6jXMXXcQKa2G41sb1CSjUFJNvyawOn18+hHB+mY/cvj9mBz2OFrBKvfvX4Kw9KiqXV5+WhnKZHKzisKfLCjhEkD4slJsKAlZFJtjOZojRO9TuFgnYdRNnPbSG2ty4dNr+Oa/ES8fsH7hyojPoumiUBAS/hBYZ2q8I+1hfzu2yOJizLy+xtG8ug1Qzha2YzZoGLUqdz4lw2U1bnCBosdqQqMyYnt9DkTQjAmxU5hrRNNtKTfEoKJl0/lx8+8z9qh2TiiO6egmjUwnt0hcpO23is9xsygpM6lgvsn2dhdVI87zDKZvCQb5m6OwErS+erJlz7uMlBt5fb4+P1LH7P0D9/r4ac6ae3atRQWFrJt27a2jWUvv/wysbGxrFy5kpkzZ2I0GklJSWl7j9fr5d133+VHP/rRKad98/v93HTTTfzqV79i9erV1NbWBr2+bt06br31VqZNmwbAnXfeyfPPP8+XX37J3LlzGTZsGP/85z/bzh8wYAALFizgO9/5Dj6fD71ezxtvvMGIESP45S9/CUBubi5PPvkk8+bN47HHHiM6+utvBpff0XqZQafy4KxB/GZ2LkWl9V0uSisqD+yGVlWV+NREKqp6r9KVaJl6FQJMcQmd/vGYjDpsFgM6VUEAqwoqefztPbg84TeJtLp9xmBunZTN3VcN4vJxGaTG2shLj+VbF+aw7P4LuXRYS15ORaHBr7G1LHw/eP2CY9Vdp8L6uh68fiyK1x12KYCiKMwbm8IzN4/mvQcu5NaLcrhqdBrfndaPTx+ayuPXD4sYqJ4Knarg9mnEWDovA4iJdzD1mplcMHNy2zGDXkdSfDSWEJuWWtmsJu67dSZzBiWwu7SO0prmiB9TIaCsxsmw9MDI4S8+Osh7+06wq6yRbcUNLN5Uwi9XHOJEY2A9ZlW9hymZDmwGXdCopRACt9OF19Oh/rwSGOE0Rhgt92uCbUdrg47ZLQaGZdhp0gTv7K9k8uh0Lh+bQUqMGYNOISHKiM2kD7tkQABXju48k6EoCma9Smq7ilCKoqBpGgPHjeDVf38Z8nr9461894L0tipkqnJyjWtGjJl7JmeGzONq1CsMz7CTHmtqC/gVwGE1MDIjmgT76a+flqRzWXFFLe9/seuU3vP+ql0UV9T2zAOF4Ha7URQFk+nk9w2z2YyqqqxZE7o89vLly6mqquL2228/5fv9+te/Jikpifnz54d8ffLkySxfvpzi4mKEEHz++eccOHCAWbNmhb1mawYHfcseCLfb3WlHv8ViweVysWVL5NzcXZEjq31EvM2I3+/vcmeEx3sy0BOaxuzv/YkvXn6AC4b342hJFas3H0QAE0f2Iy+7G3PuX4MQgfRC7QvbPHrtMKLMBSzfWkxirIW87Fgc9sCH1u/XKC5vpKCwmlfWFFJQ2sCSu8ZjCDHS2RoA61SVdLuJW8Zl4hmdQZPHT1WDi9fXHmXen9bi9PjJSbRx46RsXDqVfZVNZNhNJNtCT3+W13lIsZuwms78cgCzycCi+WO5Y9FWhBIIFBRFQbTUdx8ZBwtumwIENgANzQhfnvJU+DVBRb2H8jo3jW4ftc0e1h2podTpxWLuXNVKbVmvMHzyaJorq8kfmk9BHVQ1ekgz6RieZGLvxs0cOHByel81mUmbfDGKquPtTUU892FB2Gpb7Smqwn1v7sIYHfyNq/UjU+/y8fSqo3xjcAJvbjjKyr0VxEaZuGvGQEyKYNOabezdtJPm+sCyhuSsNEZeOJaM3CxURSE3O5bc7Fhcbh+FxXUcKa7rFECbOmzFF0Lw1s5yvviq5uSorNXIuFFpxJoNzOofT2WDiyf+vZfyOlegslTLQ6uqwt0z8xiYGj41nlkf/HlWVZW0/pls2LiBe26cFvI9o9LtLEyysel4HcV1bgw6lRGpUeQlWCOOnBj0ClnxFrLiLWHPkaT/Vis37O8ybV5HPp/G5xv28525E3voqYJNnDgRm83Gz372M377298ihOChhx7C7/d3mvpvtWjRImbPnk1GRsYp3WvNmjUsWrSI7du3hz3n2Wef5c477yQjIwO9Xo+qqrz44otcfPHFIc+vrKzkN7/5DXfeeWfbsdmzZ/OnP/2J119/nXnz5lFWVsavf/1rgLBt6i4ZrPYh2XEW9pU1RZxKt1kCqWl8Xi8Vx8sQAq750XNMGp3HJ9uOIjSBt6kBNI2Zkwbx4q9vISXhzOWeFQI8/s7Tr0l2M7+7YRSDsxzsqnYGbWzS6VQyUqOJj7WwblsxGw5V8dGOMq4akxZ03Y4BcGtQZNTBhqPV3LtkKz5NtCXWP1jawONv7yYx1sLYoSkcqGoOG6wCFNe4yEvpPK16Jkwfnc36Xyfwq9c2sOpADT4ByTYd914xlOsvCj11fzo8Po3dRY24fX6EAJdPsKmsgTpoS38VbmmECYGl/xA2lDjbpsCb3H42FTux9B/BuJQUdh8oxpqWidHuoMEHf191hCfe248QYDHpcboiT68lx1vR24xhp+oFUOf2c89rOymrDASkJxp93PfKFlwHtlNXXh70xorjpZwoLiMjNyuoXSajjvx+ccTFmNmypzyohOmlw4N/WdtR0sAXX9W03b+VJqDK6eWTr6oYl2bn9zeMZmthNVsLa2j2+DCaDdwyMRt7iNHq9pq9oWcMdB3zV3VgMei4uH9cxHMkSeq++savN5NW39RzM3AdJSYm8tZbb3H33Xfz5z//GVVVueGGGxgzZkzbwEJ7RUVFrFixgjfffPOU7tPQ0MDNN9/Miy++SEJC+KqXzz77LBs2bGD58uVkZ2ezatUq7rnnHtLS0pg5c2bQufX19VxxxRUMGTKExx9/vO34rFmz+P3vf89dd93FzTffjMlk4tFHH2X16tUh23QqZLDah3x/Zh73vRp+V6IAslKiEUJwaOeBwPSoquJNzGazP5m40YHgT/N5aS46yuebDnLp/KdZ99rPiLadmYTKfhE6+Gidxr5tSg4LPztEZXPw1K2qKFjMevKyY9n/VRWvrz/WFqwKAV6NkGsHNU1wosHNQ0t34O6wm7P19BM1Tg4fr8URotxme1WNXgYI0WWJzK8rJc7Gcz+cccrv0zSNT9fvZ+mHm6iqaSInPZ5br5kUseLXwfLmlv5Q8Pg1Pjp8AmeHNYzhfuk5UdFIaW3ntZp+TeB0+4hLzMChngye9DqF5VtLUBUFvxA0NXvQqUrIalyt52en2VFVNeIGJk0TJMdb24JVgOaSYzSUlXc615EYx+ip4zu1q/X/E+OspCdHU1TegKqAxajjhomZQdf4/HBNxHWuVU4vQidwKRrmKBODcgN9MC7TQbxRH3aNqBACp0+jrNHT6XhjXQMzxnWdM1iSpDPHHvX1ft7Zz9DPye6aNWsWhw8fprKyEr1ej8PhICUlhf79+3c6d/HixcTHxzN37txTusfhw4cpLCzkqquuajvWWnpbr9dTUFBAWloaP//5z3nnnXe44oorABgxYgTbt2/nqaeeCgpWGxoauOyyy4iOjuadd97BYAj+Jf7+++/nvvvuo7S0lNjYWAoLC3n44YdDtulUyGC1D7lydBp//Xg/+ytcIQONpDgrSS21wrPyc9i+Ogpz/6EYYoI3fah6A7bsAeisNg7v286Sd8NPQ56qrmZW/JpgYnYs7+3rnLZHVRQyUqLZ/1U1x6qa244LQgeqEAiCE6KN3HxhP579+EDY+x4tqWNsF5u3BKBpoPZcYoBTVt/o5Lof/5W12w6j06n4/YH8nS+8tZqb5k7it/dfj6IoVDR4aWwZzYwy66h3nhzFK6hq6hSohmNSYf2ByrCBpl/AsapmhqTZ2VsSyF0qBJTUONve4/Zq5GY5KCyux9fhA2HQq1wwLAWTMfS3FiEE9U0efD4Ni0nXaa1uc1HoDAP5Y4ag+bVOqd7ay06zU1zegM2kZ/GdF5BoD/7B07GsaadnA47WuvnRlCzoMBhe2+xlX0nowhwAm0vqQ1772K4C5v322xHuKknSmXbJxEHo9WqndFWR6PUq0ycO6sGnCq91xHPlypVUVFR0CkiFECxevJhbbrmlU3DYlUGDBrFrV/D63UceeYSGhgaeeeYZMjMzcblceL3eTqOfOp2uLbCFwIjq7NmzMZlMLF++PGzFKUVRSEsLDEa9/vrrZGZmMmbM6ZWGl8FqH6LXqbz70+nc/dc1rDxYh6LTtRxXyE6LIS/7ZFBqtljInTyRcmfntYkQ+LBYklJxlhXx8rvrz0iwKsKMqranKpAYFb7cqV6nYjLqSIw+OV3fVQCsU1W+OSEzZLDqd7twlh7HU1/Los1reC/Gyo+/exXD8juPSurUwJ++5M7H/sGGHUcA2tZYtQaAry5fjyUqihuvnRr0nvaBKsDB6ma6S/VrYQPVVooSmOpv5dcENrOemnaj5R6vxvQJmZSeaKK61gUKxMeYSU2KCpt1oaQisG65/RKC9vcRmobfFbot8amJEQNVRVGwRxn55bVDuO6CjJBT9t3Zw6YLc47DamBwmo0jJ5y42qVHU1WFz49Uc6zW2fZ8rQFsxdFi/vi9aVjMZ7/8ryT9N0tPcnD5xcNZvrL7+VOvuHj4Wa9otXjxYgYPHkxiYiLr16/n3nvv5b777iM/Pz/ovJUrV3LkyBG++93vnvI9zGYzw4YNCzrmcDgA2o4bjUamTp3KT3/6UywWC9nZ2XzxxRcsWbKEP/7xj0AgUJ01axbNzc384x//oL6+nvr6wIBGYmIiupZ45fe//z2XXXYZqqry9ttv88QTT/Dmm2+2vf51yWC1jzEZdLz0o6n87l9b2VEb+CEcbTOi6/CDWtWpuPQ2wB3yOhD44W9NzaSi7PAZebbuzJ5rAlxd/Dbr82tcP/7kAvHu5O2Pj+68FtVZXkLd/p1tF/AADTV1/PiRF3jgrmu4YkZwHrpku+mU0330pINHK3i3i2+mb/57Ld+8cgoGQ/A/1fbrNjsuj4jE1508TQL8Lb9NqwpMH5JEeqyFf6w91lZZqqSikcH948hMiSYrxKYjIQRKYKccAMdK69l9sHNKKqfbh16nMGFEGk63l61H0yk7Whx0TrTDTmJ6ctg1uK2iTHpuu7hf2NeHJEexo7QhYqqqoSlRYV9zWA2MytLT5Pbj8WkYdCpRZh0psSaWbS3iSL0XFAVvUzPpBh+/um0SibHhrydJUs/5nztmsWLNnm6lrzKbDPz0jvC73ntKQUEBDz/8MNXV1eTk5PCLX/yC++67r9N5ixYtYvLkyQwaFHrkV1EUFi9ezG233fa1n2Xp0qU8/PDD3HTTTVRXV5Odnc2CBQu46667ANi6dSsbN24EAimp2jty5Ag5OTkAfPjhhyxYsAC3283IkSN59913mTNnztd+rlYyWO2jmv1gjzJG/G3E6fJF/OGtqCo6i/Vrr98JRVXCT9lDIHXSzpbp4440Iaipc5ERa+G6cSdTACmRFhK2qOmwHtDbUEfdvvCB3h+f/xcXjR+CvSW/pUmvkhbbdxKlu70aL3+wPeIaSoD6hmYW/uUdLr5wNGmJMeRlJnSq7GTQKbj93VsGUNfkxG7RU++M8A1cgeMtyzSGZzqYP3UAdc1eXl13rO1hfX6NvYerGD4wsXMQKQSHtu7mwKZdDJs+kbT+2ew9HD4Prd8vOHSshtGDk7n81mtY/+Eq9m06OW0166arOrU5lNFpkXP4zciLZ3tJ6BRnCmAxqIzPjJypQVEUojqsjc6Js/DgzDyEEAjosTXRkiR139ih2Sx54nZueShyYQCTUc/LC2/rlZKrTzzxBE888USX57322mthXzty5Ah6vZ4pU6Z0+75///vfOx1LSUlh8eLFYd8zbdq0blWEbC1wcKb1sUlRqVWC3dLlD2ejQY344RFCoHk8FBZXUVRec0aeqzU7T6j7+vwahVVN7AmR81QIgQKY/H7e+OFErO3TH3Xx+fdrGsu+PB50rOl4IeFqsgfuB4te/wQFSIw2MDwzKmSqrN4ghGB/aSNOjy/icLWi1xOdO5i9ShIvbCjn8X8f4OY/fcaSFYEgvXWUs7+j6/RFQgg2rljNm8++QpoSvsqVqsDYnFgu6B/P49cP53+uHAKKSozNxA9m5gXlAj1e1sC2vWU0tt9MJwSb3lvJ6vdXUV5Rw8o3P2Lzhn0RywILoLyqGW/LCPHEyy7CkRjY3GSPiyEm3tGtEfF4a+S1XP3iLHxnTGpQG1pZDCo/nJLVVjns61AURQaqktSHzJ0+ks9euo+rLxmJvkNqOb1e5epLAq/PnT6yl57w9H3wwQfceeed5OWd3xs55chqH3X9+H7sX3kk7OuappEYY6QpwgiZoig4y0vQNI1Fy9by2D1XnvZzqUoglZTHH/ih7PVpKEpgLeqOY7X85JWtZGXEkJIY1Xa+JkCnKMSadNx5eT4JHab0I5UI8Pk1qho9vLImuC/cVRV0FeXu3V/IuH72HqtcFUqN00tVkxerUSXGpKei3kODK1BtKdZmIMluxOnx0+zRSExJwpaRjc6gx1lZiae+tu06ik5P3OiJ6K02FOXk8/sNZj461EijazN3zx2LEIJhiVEcqG4m7OCqEBTuPcyejTsB+M8HK5k6dw4F9bTt6m/979C0aO65NB9TiKBtUl4iOYlRrNxTyt7ievyaYFh6DDPzE7FajXg1wbat+9m1bX/bewaOHkJcRhq1RbVdLvdwe3yYjDqEEAweN4z1H64iJTst8pvaKW3wdHnOxGwHeQlW1hTWUljtRK8qDE2JYnxmDNYeLMkrSVLvGDs0m6V/+B7FFbV8vmE/9U0u7DYz0ycOOutrVHvCPffc09uPcFbIYLWPSosxk2kWHHN2TkFUV1XL4V0HaGpooqnGiyklHb05eHRNaBo+ZxOuE6WgCT5YteuMBKsQCEBNOnB5NVbuKeNwRROrCyrYfrQWnapQua+Ca6JMTB2ZitevkRxlYkRqNEa9yqMfFnAw28E3RiR3a7Rsy5Fqfv7mTqo6pQXqep1maxDdE6qaPCzfXU5pnRtNgeRoE8X1bk40nRxltBt1jEqxkxUTWIbR6PZTXONCp8LCf+9h17FaogYE6sZbsvIwKj4qtm7CVVeLLas/emtUpz5q/fvqY06uPFHPsKw4jlY1MzbRxqaKprYyru3FmPVs/OiLoGNfLP+QtKw0ckeNQNMbUTUf7soK7r98fMhAtVWqw8JNU/qjKhp/+GA/H+woZUJuAkkxFlRV4f2Pv0RVFTRN4EiIZfIVUzlaUt+tdcmGlnykqqqSlBGoUOYLk7s0FH03v9TxNiNXD03q9nUlSTr3pSc5zlrCf+nMk8FqH/bT2YN55tP9HGrQQFHQ/H7WfbCKg9v3tQUkQggaCg8S1T8fW2Zgc4miKHjqaqjbuz2Qqwnw+Lr/Q787FAUsRpW5Y1LZcKiKA6V1ZCdYMepVJuUmcOeMXOKj2u/4F+yvaGRidiz/+aqa7FgT47NiI97jy8NV3L14My6PH13LvK1fE6Q5zFTpdXg9GmkpcQwflI0QsGtfIQIYkpeJJjRG5KZEvH4kXr+GTu08rasJwQvrjrOzQ033kgZPpyCx3uNn1bEarh+ejABKap00Ov288p9DlNU4O99T6Em8YDInNq7GmpYZOZhXFP7xyW7e/sUchmZEU17nomlbGRVOL3UeP34hsBl1DIyzMSDWTL+Hb+HHj7wQ/MzHSig5VgLAsPwsFv78FkzGEGVarQaiTDpQFBpdPmqbPHyyp4ItRwJLS1IdlrYUVEeOlbVN+Q8aNwyhCVISbBHXrALE2k1YWteCChGo5gYUHz7a5caqVmMzzlzxC0mSJKnvkMFqH6ZTFe6fNZg6l5eVe0p5/uUVHNqxDwgEqVPHD+LaOROpq2/kt//3L2pqKtFbo/DUVuFrOhlM6XUqE0eG3yUditPjp6Leg9unodcpJEYZiTLrOgUNPk2wdMNxVuwqR6cqKAocLm/ktXVHuf/yQdw+tT+7SutZtrOMRs/JgPnVreXsLW3msvw4HFFm2q8/LSip540NxygorWdUtoM4mxG9TqXJ7Sc/PQavXmXY4Nsp3HuYw9v3sXH7IeIdNq69fBKXTRtNlK11lFlwsKyJfknWthrq4bh9GnvLG9lWXM+BE800ePyoCoxKi2ZGbjx6FE40eNhUVMeuivBVxkL5YG8F2Q4LB6qbKTnRRGl150A18LTg9Qmyxo+n3t9FuiMhqGn2YmgZTkyOMWOy6Lkg3kacxdC2nlUh8DWqNEfxs0fns/WLzXyy6uTGtIzUeBY8dDOZaZ0rm5gNKv2TbJgMurbrJdlNeHxmdh+vbdto5/JqtO7hM5mM0BhoX3JWKqpOxaxT6ZcRw5GiurDNGZjTroKTolBVFCjN53a6OX7wKFkDcyJ2R7RJR35iz1QnkyRJknqXDFbPATFmA5NzHNy8bhdCwBXTR/M/91wftEbxw8mj8HvcXHrTbzq93+fX+P680PV9OxJCcLTSSWmdJygZcHmdB4dVz8AUW9soJ8Bj/9zNv7cGRufa5+/UhODJ9/YhdCp7QyRj9wnBppJ6fJrg0rw4kh0WQOEvnxzk2Y8PtK2hVJTAZqkku4lbLsllb7UTr9vDx6+/R/mxUlpPqK1t4LmXP+CdD9fzp199j8R4O6BQ2ejF5W1kaEZUyM0vmhB8VFDJJweq8HRY9KkJ+KrKSX97M2a9Dp+msedE+M1J4WTGWNjfsru+uDz0bvT23DoLwhc50wMEUjW1961RKfxx1VFUAWl2M16/xrF6F7UuHwoQrbcSP2IMl+UMIc6q55LhafRPCr2DXqcq5KZEtQX57fvOoFO5bnwmz688RHWTh3UHTnDF6HR0qsK0ycN4699rAYI2VQ3qF4eqKHzVYe2q0aBjxMBE4tttEtOrCvG2k4Hnyrc+5Jo7v9W26aojvarws2k5fSotmSRJZ077n0XS+aW7X1sZrJ4jPly1G79fY/qkITzwg+tDbqbRGU2seXsBF173C6AtjuPJB69n1KDMzm8I4VhlM6V1gXWXHatZVDd6OVzexMDUwOapijoXb2w43ikQ1etVdKqCx+Nnc2k9VnPw1LJJp5LQsnN7f2UTA+OsmAx61h2sbEv83xr4tgY2jR4/e6qaUYDNKzdQcbyMoBNa/rfiRB0LnnmTP/36ZPLkRref6kYvCdGdRyv/ubOc/3wVPlPC2BQ7xpZ1r6WNHnzt7mfRq5j0KpomaPD4Q273ijXrOFxzMtG9uxtrMH0+Da2hBjXKgRKmnrKiqtwyPbh8XZRJz/9My2Hd0To+O1hFbbvk+wKo9fqxxlk5XudiZ0ElK/dXcsmQZO6YNqBTIB8fZUSvhk4XpSgKFqOOeROz+Otnh/h4VykzhqVgNui49rKJ/PP9dWiaoOjgUeJTElBVFUVRyO8XR7+MGCpadv5bLXoS46xB99arCjP6xTFq0nS+3FbAieMlaH4fbz/3Ov2HD2T8zElYbDYUFVQURqdHc+u49KBfoCRJOj8YjUZUVaWkpITExESMRqP8pfQ8IYTA4/Fw4sQJVFXFaIw8myiD1XNEo9ONqir86oEbiVRZ0+MX/O7hG/n575Zy2UVD+fF3pnPxuIHh39COJgSHyxuxmEPnI1XVwEhltk/DpFf5dE9FUM7VxFgLA7JiiWvZUOT1+jEYdG1BnEFVGJdmp5/D0hagaELQ5PFz5EQzf/n0YNg8rhkp0YFpcreHA1v3hk3Z5dc0du4r5KujZfTPPrlm9US9p1OwWtHoiRioAhTWOkltyV6QaA/816RTsBh01Lp8OLtIyN/o0YJ+sbCa9dTVuyPmMTCb9NQVH8WW7wi5XlMIQZRwccO0zgmizQYd4zLs/Gt3eafXWteV5veLo67RTWWNk5V7y0mINnHNuOBfZhy2yGmgVAUuH5XGXz8LjK4u+NduHrh8MClJsYwdkcum7Qcp2LqH4ZNHtdw7EHQbDbrA11IIVEVhYLyFercfBYWUKCN5cVZGZdmxW/Qc+eeDfLBqDwsXf0J1bSMpJoW7RiUyfnggH6L8oSVJ5zdVVenXrx+lpaWUlJT09uNIPcBqtZKVldVpcKwjGayeI/JzktHrdRED1VYXThhGtM3Eq0/eEXLDTDjHyuvDBqqtFEWhotZFZoKVZo+vLbjMSIlmxMDEtrWNAIZ2u8pVBWb0iyPOYggaSVMVhSijDr8mKDzRFLbgQEyUCVVRqCqrbNt8E/YZgV37jwYFq+4QNV2/PFbXZZGDI3VOxqfHMCDZRqPXj04Bs15HnavrqigA3g4Xz0yxU1IReSlBvE3hcHkZHq8fx+CRKAYDQtNAAUVRicHFisfmhA3W1hXWhk9jRWB6PifNTmXLJq/3thdzxeh0DDoVvQpWk65l/XGEHLCKgq3dMoTCyibufWUzo3PiyBkykE3bD9Lc0MQnSz9g5rcuBz1tif01TUMBLsqOJSsmMP1vNqikxBhJtJtOLj1QVa6cNpwrpw2P2F+SJJ2/jEYjWVlZ+Hy+Lr/3S+cWnU6HXh+6ZHxHMlg9R1wyYRDTJw7t1rmaJqhtcLJ5zzGmjB7Q7Xts3XuM1KyulwsIVYdPgwFJUWgiMFo2LDehbbQslByHhXiLIey0sk6BK0alsbuojuNVTXg7RFt+v79b1TMgMOVdXFrFmi/3kp4ST7+sZEwh8hrVdiPg1AR4/BoOqwEHBoYm2tjZRbAZSVyMmZREG2Uh1r4qQJTNSMmuQD5UT/UJKtavZOasKWhGCxajnltnDOSqibmd3tvegcrIz6eqStAa0Wa3n68qGslPDeSkHZoejcsnIu7C9/k1DnYo/qCJQKqxMYMSSEpPprK0gtIjRbz151cYOGYIaf0yUFWFquJy/nDndPIzEwGwGHVyGl+SpLAURcFgMGAwdH/wRTq/yGD1HKHTqXz76sndOrc1YPR0oyZyewa9jsFpUW15Nr1+ja/Km3B6g0clLUYdPk1wUX4iidEm7A4zihJ5WjY31oogUs0p+O70XPJSoqht9rB03VH+8ukhYqwG+ifZcLhq0avRJKQmojfo8Xkjt23Z++tY9v66wL3zcrj9xplUDErngn6xWE16hABbN5LAqwrYzYHf/IQQ1LRsVupe2BzQ/nxFURg1KImD5hoKS+rwtwTligLpSVHkGJ0sKwgUQNDrVZ55aB53XH/hKdwtch+36rThrWXk2WwIBPUGVcEbYYWDXqeydP3RQDUoVcHvFxgNKr+YO5hJg5J4Js7MB0s/ouSr47idLnav28bONVtITYxh6R++x9i87if7lyRJkv67yWD1HDJv2mC2Hm3oNOrYUX1DAzqdytBTCAhqm7zMnDS4LSgDMOp15KdF0+jycag8MFpn0qtEmXSBfU2qwp9uHsXvV36FEBErh2Iz6LosRelpWf/psBr53iW5fGNCJrE2U9uoW7PHz8pDlWwdM5Q9X+6kq0zzqsmMfeAwGuMTefaLYviiGKtRx3en9eeeS/MYl+Hg04Ph838qQEaUqW1Uttnjx+0Xpxyodgxu1ZbNRnlZDuoa3SRYjAxMjmJocjQrP9/E3d++mEsmDOLKaSNO4U4n5Sfa2H+iOezrmiaoqj2ZPktVICPOCkByy7rc1pKk4ZZIqAosnDec97eXUNPsJc1h4crRqdgtgZGPP1w3nBvHZ7Nqx1F27zqEw6Qye1wucy4aiq6PlL2VJEmSzg0yWD2HqKoKKhHrk+pVuPS2J7ju0jEkxZ1MS+T2anj8GkadiskQHCw0u/yoOpXSWhc1TV78msBsUEmINuGw6oky60mJMVFR7yYn0RpYdygEHp/G5LwEZpY3saeLqXGnz4/VoEYcfTXoTr6mUxXio0xB51uNOq4ckkzUT67lh49UU3z4eFtw3Zr5oK2vDEbix0xCNQRvqmr2+Pnzxwcpqnby/dkDiTbqaPCE7lABDE+JpskdWIKgaQK7Sc+JJk+3A1YBzM5P4EBFEyUNblztNmSl2s1cmZ+Ew6xHARxWA7+6e/Zp15eflOPgg/2VndbLtlJVhcLiQM5TVYGJuQnEWI3E2vTE2gLfEhQFDCr4Bfi1diPDgE4FnQIpDjPzp/UPeQ+jTmVStoNJ2Q6Ye+7W3ZYkSZJ6nwxW+yC/JtCECJk6aFx2DFuP1eP2dJ6jNegUfv3Uq/TLSOAP//MNABpcPo5WOmlwnQzIos06shMsRLdUDHL6NA5XNAflSW1y+2lyN1Nt1tM/2Uayw0xclLFtiYAC1Ll8WI1GZgxMYG+EkTwFqGr2Em+JvN4oPjp4c1e4wHZabgI/ve8G1n65j92b91BfUwdCUFxW3XaOLasfqtGIooQexfuyqA7X6sKIzwOwtbSBGf3i8Pg0TAaVvFgLh6rDt7WjZJuROIOeyRkONE2jwaPxVU0zMSYd6XYLmhDUun1c2N9BjPXMrMeKNun5/sRM/rrhOH7t5EiwpglUVWHfV1VU1bpQlEAxgdun9ic91kRGnDmozxUF9EogMG1PbsKXJEmSziYZrPYhjS4fRTUuahq9oCg4nW627jqEzmJk0qgB5CVHE2vWcaTgEG99tp0H77oOg6qCAnsKjnHnz15AVRXSUxwsWb6BG6+azNEab6dRwAaXnz1FjQxJjyLKpFJY6QwKVIPP9VFe6yI11hJUM14ADc1eUuxGBiZaSbAaqGrufK9WcWE2V7WyGFRiuxmsCSG4bFASI5LtcNUEAP7+5me8+vYX+FvWXlpSM8MGqjaLgeF5nSs2hVLa6KbW5eVASQPDsmLoH28lv8ZJQTcC1iSrgYuzYttGShu9GrtONFBY6wJALalnVGo0t41LO+NT44OTbTx26QA+LqhiX0Ujbp9GU7OHLXsrKKt2kmQ3MW9CJjdOziLZbm5LaxWKDE4lSZKk3iSD1T6itsnL/tIm/JrWlm/MYjExcexgyivrePKtDaTm9cNbXc2yxe/icTp5d8XWTtfxa1BYVMUv/7ycnNz+pKXEh7yfAHYWNXCkvJrcMOe0qnP6SHEE7wwvr3Oj052sbnTdkCTe3lNBpdPbtsFHADpFYUpmDIm28Al/Y6x6suKtEQOmjowddvfHx0afrIShqqj68IFvdpq9yzW27bl8GrVOL3uK6slOtDIxw060Sc+eE41teVb1qkI/h4VBiVZq3D4OVjZT5/Kx6ngNEzJjGJdhx+P1U9LkxmzQEWvRMysvgSR7F2VVT0Oc1cC3R6d0Oh5pl78kSZIk9TWnFKw+99xzPPfccxQWFgIwdOhQfvnLXzJnzhwAXC4XDzzwAEuXLsXtdjN79mz+8pe/kJycHPaajz/+OEuXLuX48eMYjUbGjh3LggULmDBhwtdv1TnA6fKwYccR3B4fQ3LTKHeqaEJ0Soyr06kkJ9jJj9Lxn/98yaiLxnHF7dex/G9v4Xe5w15/4IC0sIFq27UVBWE0RzwnxWEm1WFu23TVGujYzXraV/vsl2Bl9oB4TjR7OV7vwq8JHGY9OQ5LWwWojmwmHTmJtk6BZ3f42m0y04TgwguG8Oyi9wK72jUNze9D1YX+eMfGRB5J7MigKuwpqsNsULAYktCpCiNTohgYb6XB7UMTkBxtIDvOSkIXweft49O7fd+eIgNVSZIk6VxySsFqRkYGTzzxBHl5eQghePnll7n66qvZtm0bQ4cO5b777uP999/nrbfeIiYmhh/+8Idcd911rF27Nuw1Bw4cyP/7f/+P/v3743Q6efrpp5k1axaHDh0iMTHxtBvY12iaxu/+toKnl3xGQ1NgOviSKSN45CfzwgYROp2O2VPH8NdXFpKd34/Y5HgGjxvGjjVbwt4nNSl0HfWOwgWSAHFRRlIdgWC29dla/2s1Be/ut1v0ZMdbUBSFpAijqO01e/xoInQ+z0ijf4qiUNPkAcDt8bF2dyEO1cfN35jO4jc+A8BZWoQ1LStkudJupmsFwGHSE2cxsO7QCRZ+cxgDkk9uWhNC4PWDQScDQEmSJEnqKacUrF511VVBf1+wYAHPPfccGzZsICMjg0WLFvHaa69xySWXALB48WIGDx7Mhg0bmDhxYshr3njjjUF//+Mf/8iiRYvYuXMnM2bMOJXHOyfcu/BNFi1bE7S2MyczCa/Pj0EfPu+nyWQgJSmW/Vt2M/mKaQwcMyRisNrQ5Az7WnuVTR6yYywhX0uJMYUNGhVFQRBIbdQ6SJkeZ8Zm1lFa66beGciDGm3R0ejSQq6JFQIOlTXSL8mGzaRHiMBmoNYgOFwQW9PooaKmiWibgSyHjknXjMRkNFDV4MFiMrD4zZU0HT+CJTkN0HcKWCtrmomJ6l6N6ZHJ0RytbGL2sJSgQLW1D4xyIY0kSZIk9aiv/aPW7/fz1ltv0dTUxKRJk9iyZQter5eZM2e2nTNo0CCysrJYv3592GC1PY/HwwsvvEBMTAwjR4ZPd+N2u3G7T06B19fXf91mnFW7DhTzt2VrOh13ub3dSlfkcnloKq9CURSsUdaI527fc4S6hmZiosOf5/VrVDR7qHJ6iDUHl0E16tWgDVXhtA9WIZB+ydFho1RVo4evKpz4QgSsXr/gQGkjUWYdZU0eokx6LKqKEIKcRBsWoy6oclV1o4fj1U5sVjND06OIMp/8CMdHG3ny3iuYO2s8G7cfori6iU0nBKUN3rZzdKrCkEQrni7626hTmJThQPFpJEQZmDmx96fvJUmSJOm/0SkHq7t27WLSpEm4XC6ioqJ45513GDJkCNu3b8doNOJwOILOT05OpqysLOI133vvPb797W/T3NxMamoqn3zyCQkJ4XdrL1y4kF/96len+ui9bsnyDeh1alu1oFZrN+3luzdeGvZ9mqZxtOgEZRU1pOZkAODsYuTU5/OzeOmn/OR7c8OeY9CpzMlNpM7lxeXTsLSsHVUUBaWbmUQjTam7vH4OljXT6A7OY2oxqmTFmYky6fCLwHNsL6nnX3srADDrVa4blMT+kgZsJl1LwAr1Tm9bQQSjTsFm6hxM61SFMQPisJiH4BfwbaDwRCNHK5sw6FVmDElkZFYMm4vqeXlzSchWjki2MTY1hmiLjoxYMzaTHD6VJEmSpN5yyj+F8/Pz2b59O3V1dSxbtoxbb72VL7744rQeYvr06Wzfvp3KykpefPFF5s2bx8aNG0lKSgp5/sMPP8z999/f9vf6+noyM7uuad/bistr0UKMLh4tOsGaL/cyaeygkCmMVFVlybLPAcgZ3B9N0ziwbV+X91v+8ZfYEhK59arxGHRqULnT9lPg9pZgbH9lEw6THpNBR6Pbx6B0e5cjvuFe9vg0dhc1hqy25fRolNV5GJxmw9hygVT7yRyrLp/Ggapm8uOtLfleOyft75gTtL1os55R2XbK69xUNXrJT41mdI6DlBgTMZZA6dQLMmPIS7Dy+eFq9pQ1AYKhyVFc3D+W+G6uuZUkSZIkqeedcrBqNBrJzc0FYOzYsWzatIlnnnmGb33rW3g8Hmpra4NGV8vLy0lJ6Zw+pz2bzUZubi65ublMnDiRvLw8Fi1axMMPPxzyfJPJhMlkCvlaX5YUF4WqKmghArjfPruMxx+4gfGj8vD5AsGZoiog4LklH7Jqwx4sUVZyhw+kuaGJg1t3R7hToMCnMTaBlce9bFi8ifED4vnOlH5YjbpOQV5rFaiMGDMf/mcralM9c6eP6tbShINldQxKtXe6ZlmdO2JZ2Dqnjzqnr23JQHqMmSyHmaI6F5qALaX1GFSFAXHWlk1YgeUGiqKQFWcmOSby19+oV8mMt5AZH3o9LoDDYuDaYclcO6zLZkqSJEmS1EtOe35T0zTcbjdjx47FYDDw2Wefcf311wNQUFDAsWPHmDRp0te65vnmhivG8/ybq0O+5nJ5+MUTr3DHNy7GYovCaDJQXFrFii+2UV3TQFRMNLNuuoqhGbEMt/kxTBvO7oMlRNvMXDtzFBVO+NPSNWhuF6rJjDUlA2NcAoqi4PT4Kal2RpzOVhSFaKOeu66bTH5KFE5v5wpZoaw61sAL/znAE98cjclw8voV9Z4u33uiwRO0vvXmsWn84YtCPH4NTcD64jr2VDbSz2HBatAxLsNO/0Tr10p1JUmSJEnSuemUgtWHH36YOXPmkJWVRUNDA6+99hr/+c9/WLFiBTExMcyfP5/777+fuLg47HY7P/rRj5g0aVLQ5qpBgwaxcOFCrr32WpqamliwYAFz584lNTWVyspK/u///o/i4mK++c1vnvHGniq3x8v+I+UIIRjULwWz6fTKYY4fnsPVl4zk35/vROuw2FOnU7HbzDx46yUkOKJ4a8UWqsrKuWracPLyc5g0fhADEmwkt5QkvWRMcE12vyZYUw6Flc0hd953LGUazqb9Jbywsp7szCTunJTV5fmNbh8uk5WHlm7m6ZtPfp19EUZVW3l9week2U38bHo/PiqoZHNRPX5N0OTVsJh0XDYogQQ5PS9JkiRJ/3VOKVitqKjglltuobS0lJiYGEaMGMGKFSu49NLA5qCnn34aVVW5/vrrg4oCtFdQUEBdXR0QyB+6f/9+Xn75ZSorK4mPj+eCCy5g9erVDB069Aw18dR5vX5+t+gj/vL6F9TUB8pqxkRZ+P63LuIX378co+HrDUgrisLLC2/jwSeX8fd/rQ/aaDU8L42X/vdWslID+VFvvWYSt17T/RFpnarw8l0TuPm5jRw50YSqgM2k56ox6QxIjsLYscB7GOUucJqtHKpqotHtwxZi2QAEUkjVuXwcqXaiqiouazSHS2sZkOoAwKBX8PgiB6yhRkiToozcMjaNG0al0OzVsBpUDGe4FKkkSZIkSecORYhTSZHeN9XX1xMTE0NdXR12u/20rqVpGjf+dBHLP9/Raae7qijMnDyYt5+567RruVdUN/DZ+n243D5G5Kczdmj2aV2vldev8enucirqPVx3QSZ6nYJfE2iaRkFZU8QRTyEE5Y0ePi2sBuCCjBi+PTqtU77T1r+/sqWI7SUNbcczfPU8/M1A5bGiahfHq10Rn3VoehR2i9xpL0mS9N/qTP78ls5fMlLo4MPVe3h35Y6Qr2lC8PHavbzz2Xa+MWvMad0nKS6aG64Yf1rXCMWgU5k1PJXAktPA/n+9TgGdSnqshaOVzWHfqygKNuPJdFCbiupQFLhqSDLWlnyniqLQ5PHz7p7yoEBVCEFj88l8pikxRk40eHCFWfsaH2Ug2tx1HldJkiRJkv67yWC1g7/9cw06nYrfHzrI0qkKi5atOe1gtSf52h49ePo+LsqIAIqrnWEqSgmcvuB2f3m8ji3F9QxKtGE366lz+SioaKTjAK2iKGQ4Tq6L1etUhqZHceSEk+qmk0GsqkCqw0RmhNRTkiRJkiRJrWSw2sHBoxVhA1UIbGQ6dKziLD7RqRGCiOn846OMOKx6jlc5qWkXRLY6XNN55NWvCfaUN7Zcv3MJVE3TqKus4TvfGRd03KhXyU+14fFpNLn9KEogB6pOlUGqJEmSJEndI3eudJDgiAqb6L5VbIzt7DxMD1EUpVMaK00T1Lp8FNaGr4ylCYG3w8ir5tfwuj1clKQn2mYO+T6jXiXWFijDKgNVSZIkSZJOhQxWO/j25eMivq4qCjf2wFrTs0khUAq1lRCC4gYXnxyp6jS930oTAjSBs7QUV3Ng45TX46W04DDT4uHuayeGfqMkSZIkSdJpkMsAOrjpygn8aclnFJXXdloOoNepJCfYTyml1NmmKKBTCB90ahouj4/r736aAdmpCASG1BSS8oLztnq8foyGkxugnM1e7p2aw+jMoRwtqear4hPERscyct5wufZUkiRJkqQeI0dWO4i2mflk0X2Mys8AQKeq6NRANw0ZkMonf/sJsXZrbz5il/Rqx61VAT5/YDT1R79+lUNHy/joP1spdgkSc/sBgRFWIQSH9xfy4Ufb2LKziLKSWobGGPnz9UMYnRkDQHZaHNMvyGfUoEwZqEqSJEmS1KNkntUwhBB8uauQVZsPghBMGZvLpJH9z5ngTIhAVoD2I6yFpTU8+9pKNu34ijH56QweN5RjfhOulpOiDCoZei/ZRo0JI3NIjpc57yRJkqSeI/OsSt0hg9XzXPuvbqg426cJKhs9KAokRhlRz5FgXJIkSTr3yZ/fUnfINavnua5iT72qkGI3RT5JkiRJkiSpl8g1q5IkSZIkSVKfdV6MrLauZKivr+/lJ5EkSZIkqbtaf26fBysSpR50XgSrDQ2BGvWZmZm9/CSSJEmSJJ2qhoYGYmJievsxpD7qvNhgpWkaJSUlREdHnzO79b+u+vp6MjMzOX78uFyMfhpkP545si/PHNmXZ4bsxzOnp/tSCEFDQwNpaWmoqlyZKIV2XoysqqpKRkZGbz/GWWW32+U34TNA9uOZI/vyzJF9eWbIfjxzerIv5Yiq1BX5a4wkSZIkSZLUZ8lgVZIkSZIkSeqzZLB6jjGZTDz22GOYTDI36umQ/XjmyL48c2RfnhmyH88c2ZdSX3BebLCSJEmSJEmSzk9yZFWSJEmSJEnqs2SwKkmSJEmSJPVZMliVJEmSJEmS+iwZrEqSJEmSJEl9lgxWJUmSJEmSpD5LBqt9zIEDB7j66qtJSEjAbrdz4YUX8vnnn7e9/ve//x1FUUL+qaioiHjt999/nwkTJmCxWIiNjeWaa67p4db0rp7sSwC3282oUaNQFIXt27f3YEt6V0/0Y2FhIfPnz6dfv35YLBYGDBjAY489hsfjOVvN6hU99Zmsrq7mpptuwm6343A4mD9/Po2NjWejSb2iq35s9fe//50RI0ZgNptJSkrinnvuiXjdsrIybr75ZlJSUrDZbIwZM4Z//vOfPdWMPqGn+hJg/fr1XHLJJdhsNux2OxdffDFOp7MnmiGd74TUp+Tl5YnLL79c7NixQxw4cED84Ac/EFarVZSWlgohhGhubhalpaVBf2bPni2mTp0a8brLli0TsbGx4rnnnhMFBQViz5494o033jgLLeo9PdWXrX784x+LOXPmCEBs27at5xrSy3qiHz/88ENx2223iRUrVojDhw+Ld999VyQlJYkHHnjgLLWqd/TUZ/Kyyy4TI0eOFBs2bBCrV68Wubm54oYbbjgLLeodXfWjEEL84Q9/EGlpaeLVV18Vhw4dEjt27BDvvvtuxOteeuml4oILLhAbN24Uhw8fFr/5zW+Eqqpi69atPd2kXtNTfblu3Tpht9vFwoULxe7du8X+/fvFG2+8IVwuV083SToPyWC1Dzlx4oQAxKpVq9qO1dfXC0B88sknId9TUVEhDAaDWLJkSdjrer1ekZ6eLv72t7+d8Wfuq3qqL1t98MEHYtCgQWLPnj3ndbDa0/3Y3pNPPin69et3Ws/bl/VUX+7du1cAYtOmTW3HPvzwQ6EoiiguLj5zDegjutOP1dXVwmKxiE8//fSUrm2z2Tr1dVxcnHjxxRdP/8H7oJ7sywkTJohHHnnkjD6v9N9LLgPoQ+Lj48nPz2fJkiU0NTXh8/l4/vnnSUpKYuzYsSHfs2TJEqxWK9/4xjfCXnfr1q0UFxejqiqjR48mNTWVOXPmsHv37p5qSq/rqb4EKC8v53vf+x6vvPIKVqu1Jx6/z+jJfuyorq6OuLi4M/HYfVJP9eX69etxOByMGzeu7djMmTNRVZWNGzee8Xb0tu704yeffIKmaRQXFzN48GAyMjKYN28ex48fj3jtyZMn88Ybb1BdXY2maSxduhSXy8W0adPOQsvOvp7qy4qKCjZu3EhSUhKTJ08mOTmZqVOnsmbNmrPVNOl809vRshTs+PHjYuzYsUJRFKHT6URqamrEKajBgweLu+++O+I1X3/9dQGIrKwssWzZMrF582Zxww03iPj4eFFVVXWmm9Bn9ERfapomLrvsMvGb3/xGCCHEkSNHzuuRVSF6ph87OnjwoLDb7eKFF1443cft03qiLxcsWCAGDhzY6XhiYqL4y1/+ctrP3Bd11Y8LFy4UBoNB5Ofni48++kisX79ezJgxQ+Tn5wu32x32ujU1NWLWrFkCEHq9XtjtdrFixYqz0aRe0xN9uX79egGIuLg48dJLL4mtW7eKn/zkJ8JoNIoDBw6craZJ5xEZrJ4FP/vZzwQQ8c++ffuEpmli7ty5Ys6cOWLNmjViy5Yt4u677xbp6emipKSk03XXrVsnALF58+aI93/11VcFIJ5//vm2Yy6XSyQkJIi//vWvZ7y9Pam3+/KZZ54RU6ZMET6fTwhx7garvd2P7RUVFYkBAwaI+fPnn8kmnjW93ZfnS7B6JvtxwYIFAggKNCsqKoSqquKjjz4K+ww//OEPxfjx48Wnn34qtm/fLh5//HERExMjdu7c2ePtP5N6uy/Xrl0rAPHwww8HHR8+fLh46KGHeq7h0nlLBqtnQUVFhdi3b1/EP263W3z66adCVVVRV1cX9P7c3FyxcOHCTte94447xKhRo7q8/8qVKwUgVq9eHXR8/Pjx4uc///npNe4s6+2+vPrqq4WqqkKn07X9AYROpxO33HLLGWtnT+vtfmxVXFws8vLyxM033yz8fv9pt6s39HZfLlq0SDgcjqBjXq9X6HQ68fbbb59e486iM9mPL730kgDE8ePHg85JSkoKO3p/6NAhAYjdu3cHHZ8xY4b4/ve/fwZb2vN6uy+/+uorAYhXXnkl6Pi8efPEjTfeeAZbKv230J/mKgKpGxITE0lMTOzyvObmZgBUNXgpsaqqaJoWdKyxsZE333yThQsXdnndsWPHYjKZKCgo4MILLwTA6/VSWFhIdnZ2d5vRJ/R2X/75z3/mf//3f9v+XlJSwuzZs3njjTeYMGFCd5rQJ/R2PwIUFxczffp0xo4dy+LFizvd41zR2305adIkamtr2bJlS9s6w5UrV6Jp2n/tZ3LKlCkAFBQUkJGRAQTSe1VWVob9nhfuujqdrtPXp6/r7b7MyckhLS2NgoKCoOMHDhxgzpw5p9YYSQK5ZrUvOXHihIiPjxfXXXed2L59uygoKBAPPvigMBgMYvv27UHn/u1vfxNms1nU1NR0us7GjRtFfn6+KCoqajt27733ivT0dLFixQqxf/9+MX/+fJGUlCSqq6t7ulm9oif7sr1zdRlAd/VUPxYVFYnc3FwxY8YMUVRUFJSq6XzVk5/Jyy67TIwePVps3LhRrFmzRuTl5Z23qau6249XX321GDp0qFi7dq3YtWuXuPLKK8WQIUOEx+MRQgQ+g/n5+WLjxo1CCCE8Ho/Izc0VF110kdi4caM4dOiQeOqpp4SiKOL999/vlbb2tJ7qSyGEePrpp4XdbhdvvfWWOHjwoHjkkUeE2WwWhw4dOuvtlM59MljtYzZt2iRmzZol4uLiRHR0tJg4caL44IMPOp03adKksNMpn3/+uQDEkSNH2o55PB7xwAMPiKSkJBEdHS1mzpzZabrrfNNTfdne+R6sCtEz/bh48eKwa+nOZz31mayqqhI33HCDiIqKEna7Xdx+++2ioaGhp5rR67rTj3V1deKOO+4QDodDxMXFiWuvvVYcO3as7fXWf7uff/5527EDBw6I6667TiQlJQmr1SpGjBhxyinYzjU91ZdCBDZnZWRkCKvVKiZNmtRpKZokdZcihBC9MaIrSZIkSZIkSV05NxeJSZIkSZIkSf8VZLAqSZIkSZIk9VkyWJUkSZIkSZL6LBmsSpIkSZIkSX2WDFYlSZIkSZKkPksGq5IkSZIkSVKfJYNVSZIkSZIkqc+SwaokSZIkSZLUZ8lgVZIkSZIkSeqzZLAqSZIkSZIk9VkyWJUkSZIkSZL6rP8PyEQWHD6s8AMAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1425,10 +1425,10 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:32.217521Z",
-     "iopub.status.busy": "2024-09-05T03:01:32.217109Z",
-     "iopub.status.idle": "2024-09-05T03:01:32.219665Z",
-     "shell.execute_reply": "2024-09-05T03:01:32.219143Z"
+     "iopub.execute_input": "2024-11-05T03:02:13.428334Z",
+     "iopub.status.busy": "2024-11-05T03:02:13.427895Z",
+     "iopub.status.idle": "2024-11-05T03:02:13.430196Z",
+     "shell.execute_reply": "2024-11-05T03:02:13.429778Z"
     }
    },
    "outputs": [],
@@ -1450,10 +1450,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:32.221626Z",
-     "iopub.status.busy": "2024-09-05T03:01:32.221325Z",
-     "iopub.status.idle": "2024-09-05T03:01:34.155348Z",
-     "shell.execute_reply": "2024-09-05T03:01:34.154878Z"
+     "iopub.execute_input": "2024-11-05T03:02:13.431748Z",
+     "iopub.status.busy": "2024-11-05T03:02:13.431583Z",
+     "iopub.status.idle": "2024-11-05T03:02:15.472034Z",
+     "shell.execute_reply": "2024-11-05T03:02:15.471465Z"
     },
     "scrolled": true
    },
@@ -1463,23 +1463,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    13323.000000\n",
-      "mean         1.195995\n",
-      "std          2.406123\n",
+      "count    14163.000000\n",
+      "mean         1.202973\n",
+      "std          2.345252\n",
       "min          0.000000\n",
       "25%          0.600000\n",
       "50%          1.000000\n",
       "75%          1.500000\n",
       "max        260.000000\n",
       "dtype: float64\n",
-      "Unusable results: 75\n",
+      "Unusable results: 79\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 15.632730548117232): 1\n"
+      "Results outside threshold (0.0 to 15.274487417833242): 1\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1508,10 +1508,10 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:34.157532Z",
-     "iopub.status.busy": "2024-09-05T03:01:34.157192Z",
-     "iopub.status.idle": "2024-09-05T03:01:34.201830Z",
-     "shell.execute_reply": "2024-09-05T03:01:34.201239Z"
+     "iopub.execute_input": "2024-11-05T03:02:15.473898Z",
+     "iopub.status.busy": "2024-11-05T03:02:15.473621Z",
+     "iopub.status.idle": "2024-11-05T03:02:15.522411Z",
+     "shell.execute_reply": "2024-11-05T03:02:15.521852Z"
     }
    },
    "outputs": [
@@ -1600,53 +1600,53 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397845</th>\n",
-       "      <td>21AWIC-9630</td>\n",
-       "      <td>2.65</td>\n",
+       "      <th>418109</th>\n",
+       "      <td>21FLPNS_WQX-G5NW0034</td>\n",
+       "      <td>0.9</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
-       "      <td>2.65 meter</td>\n",
+       "      <td>0.9 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397870</th>\n",
-       "      <td>21AWIC-1122</td>\n",
-       "      <td>5.54</td>\n",
+       "      <th>418121</th>\n",
+       "      <td>21FLPNS_WQX-G4NW0508</td>\n",
+       "      <td>1.3</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
-       "      <td>5.54 meter</td>\n",
+       "      <td>1.3 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397940</th>\n",
-       "      <td>21AWIC-1063</td>\n",
-       "      <td>1.14</td>\n",
+       "      <th>418129</th>\n",
+       "      <td>21FLPNS_WQX-G4NW0531</td>\n",
+       "      <td>0.67</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
-       "      <td>1.14 meter</td>\n",
+       "      <td>0.67 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397984</th>\n",
-       "      <td>21AWIC-7290</td>\n",
-       "      <td>.65</td>\n",
+       "      <th>418142</th>\n",
+       "      <td>21FLPNS_WQX-G4NW0009</td>\n",
+       "      <td>1.1</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
-       "      <td>0.65 meter</td>\n",
+       "      <td>1.1 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398019</th>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>1.22</td>\n",
+       "      <th>418143</th>\n",
+       "      <td>21FLPNS_WQX-G4NW0032</td>\n",
+       "      <td>1.2</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
-       "      <td>1.22 meter</td>\n",
+       "      <td>1.2 meter</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>13398 rows × 6 columns</p>\n",
+       "<p>14242 rows × 6 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1657,11 +1657,11 @@
        "107                     21AWIC-7290                .94   \n",
        "130            21FLBFA_WQX-33010030               1.25   \n",
        "...                             ...                ...   \n",
-       "397845                  21AWIC-9630               2.65   \n",
-       "397870                  21AWIC-1122               5.54   \n",
-       "397940                  21AWIC-1063               1.14   \n",
-       "397984                  21AWIC-7290                .65   \n",
-       "398019                  21AWIC-1208               1.22   \n",
+       "418109         21FLPNS_WQX-G5NW0034                0.9   \n",
+       "418121         21FLPNS_WQX-G4NW0508                1.3   \n",
+       "418129         21FLPNS_WQX-G4NW0531               0.67   \n",
+       "418142         21FLPNS_WQX-G4NW0009                1.1   \n",
+       "418143         21FLPNS_WQX-G4NW0032                1.2   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode QA_flag Units      Secchi  \n",
        "53                                 m     NaN     m   0.6 meter  \n",
@@ -1670,13 +1670,13 @@
        "107                                m     NaN     m  0.94 meter  \n",
        "130                                m     NaN     m  1.25 meter  \n",
        "...                              ...     ...   ...         ...  \n",
-       "397845                             m     NaN     m  2.65 meter  \n",
-       "397870                             m     NaN     m  5.54 meter  \n",
-       "397940                             m     NaN     m  1.14 meter  \n",
-       "397984                             m     NaN     m  0.65 meter  \n",
-       "398019                             m     NaN     m  1.22 meter  \n",
+       "418109                             m     NaN     m   0.9 meter  \n",
+       "418121                             m     NaN     m   1.3 meter  \n",
+       "418129                             m     NaN     m  0.67 meter  \n",
+       "418142                             m     NaN     m   1.1 meter  \n",
+       "418143                             m     NaN     m   1.2 meter  \n",
        "\n",
-       "[13398 rows x 6 columns]"
+       "[14242 rows x 6 columns]"
       ]
      },
      "execution_count": 26,
@@ -1696,10 +1696,10 @@
    "execution_count": 27,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:34.204137Z",
-     "iopub.status.busy": "2024-09-05T03:01:34.203787Z",
-     "iopub.status.idle": "2024-09-05T03:01:34.221209Z",
-     "shell.execute_reply": "2024-09-05T03:01:34.220775Z"
+     "iopub.execute_input": "2024-11-05T03:02:15.524008Z",
+     "iopub.status.busy": "2024-11-05T03:02:15.523841Z",
+     "iopub.status.idle": "2024-11-05T03:02:15.541821Z",
+     "shell.execute_reply": "2024-11-05T03:02:15.541249Z"
     }
    },
    "outputs": [
@@ -1734,7 +1734,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>147997</th>\n",
+       "      <th>149215</th>\n",
        "      <td>21FLCBA_WQX-OKA-CB-BASS-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1743,7 +1743,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>148044</th>\n",
+       "      <th>149262</th>\n",
        "      <td>21FLKWAT_WQX-OKA-CBA-GAP-3-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1752,7 +1752,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>148395</th>\n",
+       "      <th>149631</th>\n",
        "      <td>21FLCBA_WQX-OKA-CBA-GAP-3-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1761,7 +1761,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>148488</th>\n",
+       "      <th>149729</th>\n",
        "      <td>21FLCBA_WQX-OKA-CB-BASS-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1770,7 +1770,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>149503</th>\n",
+       "      <th>150850</th>\n",
        "      <td>21FLKWAT_WQX-OKA-CB-BASS-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1788,7 +1788,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>394973</th>\n",
+       "      <th>406941</th>\n",
        "      <td>21FLKWAT_WQX-SAN-SKI WATCH-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1797,7 +1797,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395025</th>\n",
+       "      <th>407058</th>\n",
        "      <td>21FLCBA_WQX-OKA-CBA-GAP-1-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1806,7 +1806,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395292</th>\n",
+       "      <th>407655</th>\n",
        "      <td>21FLCBA_WQX-OKA-CB-BASS-2</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1815,7 +1815,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395295</th>\n",
+       "      <th>407663</th>\n",
        "      <td>21FLCBA_WQX-OKA-CBA-GAP-3-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1824,7 +1824,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395477</th>\n",
+       "      <th>408027</th>\n",
        "      <td>21FLKWAT_WQX-SAN-SKI WATCH-5</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1834,50 +1834,50 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>75 rows × 6 columns</p>\n",
+       "<p>79 rows × 6 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "        MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "147997     21FLCBA_WQX-OKA-CB-BASS-1       Not Reported   \n",
-       "148044  21FLKWAT_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
-       "148395   21FLCBA_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
-       "148488     21FLCBA_WQX-OKA-CB-BASS-1       Not Reported   \n",
-       "149503    21FLKWAT_WQX-OKA-CB-BASS-1       Not Reported   \n",
+       "149215     21FLCBA_WQX-OKA-CB-BASS-1       Not Reported   \n",
+       "149262  21FLKWAT_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
+       "149631   21FLCBA_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
+       "149729     21FLCBA_WQX-OKA-CB-BASS-1       Not Reported   \n",
+       "150850    21FLKWAT_WQX-OKA-CB-BASS-1       Not Reported   \n",
        "...                              ...                ...   \n",
-       "394973  21FLKWAT_WQX-SAN-SKI WATCH-1       Not Reported   \n",
-       "395025   21FLCBA_WQX-OKA-CBA-GAP-1-1       Not Reported   \n",
-       "395292     21FLCBA_WQX-OKA-CB-BASS-2       Not Reported   \n",
-       "395295   21FLCBA_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
-       "395477  21FLKWAT_WQX-SAN-SKI WATCH-5       Not Reported   \n",
+       "406941  21FLKWAT_WQX-SAN-SKI WATCH-1       Not Reported   \n",
+       "407058   21FLCBA_WQX-OKA-CBA-GAP-1-1       Not Reported   \n",
+       "407655     21FLCBA_WQX-OKA-CB-BASS-2       Not Reported   \n",
+       "407663   21FLCBA_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
+       "408027  21FLKWAT_WQX-SAN-SKI WATCH-5       Not Reported   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode  \\\n",
-       "147997                           NaN   \n",
-       "148044                           NaN   \n",
-       "148395                           NaN   \n",
-       "148488                           NaN   \n",
-       "149503                           NaN   \n",
+       "149215                           NaN   \n",
+       "149262                           NaN   \n",
+       "149631                           NaN   \n",
+       "149729                           NaN   \n",
+       "150850                           NaN   \n",
        "...                              ...   \n",
-       "394973                           NaN   \n",
-       "395025                           NaN   \n",
-       "395292                           NaN   \n",
-       "395295                           NaN   \n",
-       "395477                           NaN   \n",
+       "406941                           NaN   \n",
+       "407058                           NaN   \n",
+       "407655                           NaN   \n",
+       "407663                           NaN   \n",
+       "408027                           NaN   \n",
        "\n",
        "                                                  QA_flag Units Secchi  \n",
-       "147997  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "148044  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "148395  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "148488  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "149503  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "149215  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "149262  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "149631  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "149729  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "150850  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
        "...                                                   ...   ...    ...  \n",
-       "394973  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "395025  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "395292  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "395295  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "395477  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "406941  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "407058  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "407655  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "407663  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "408027  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
        "\n",
-       "[75 rows x 6 columns]"
+       "[79 rows x 6 columns]"
       ]
      },
      "execution_count": 27,
@@ -1895,10 +1895,10 @@
    "execution_count": 28,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:34.223277Z",
-     "iopub.status.busy": "2024-09-05T03:01:34.222969Z",
-     "iopub.status.idle": "2024-09-05T03:01:34.236470Z",
-     "shell.execute_reply": "2024-09-05T03:01:34.235905Z"
+     "iopub.execute_input": "2024-11-05T03:02:15.543656Z",
+     "iopub.status.busy": "2024-11-05T03:02:15.543336Z",
+     "iopub.status.idle": "2024-11-05T03:02:15.556975Z",
+     "shell.execute_reply": "2024-11-05T03:02:15.556515Z"
     }
    },
    "outputs": [
@@ -1923,10 +1923,10 @@
    "execution_count": 29,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:34.238376Z",
-     "iopub.status.busy": "2024-09-05T03:01:34.238208Z",
-     "iopub.status.idle": "2024-09-05T03:01:34.254507Z",
-     "shell.execute_reply": "2024-09-05T03:01:34.253955Z"
+     "iopub.execute_input": "2024-11-05T03:02:15.558740Z",
+     "iopub.status.busy": "2024-11-05T03:02:15.558412Z",
+     "iopub.status.idle": "2024-11-05T03:02:15.575495Z",
+     "shell.execute_reply": "2024-11-05T03:02:15.574926Z"
     }
    },
    "outputs": [
@@ -1961,7 +1961,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>147997</th>\n",
+       "      <th>149215</th>\n",
        "      <td>21FLCBA_WQX-OKA-CB-BASS-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1970,7 +1970,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>148044</th>\n",
+       "      <th>149262</th>\n",
        "      <td>21FLKWAT_WQX-OKA-CBA-GAP-3-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1979,7 +1979,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>148395</th>\n",
+       "      <th>149631</th>\n",
        "      <td>21FLCBA_WQX-OKA-CBA-GAP-3-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1988,7 +1988,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>148488</th>\n",
+       "      <th>149729</th>\n",
        "      <td>21FLCBA_WQX-OKA-CB-BASS-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -1997,7 +1997,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>149503</th>\n",
+       "      <th>150850</th>\n",
        "      <td>21FLKWAT_WQX-OKA-CB-BASS-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -2015,7 +2015,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>394973</th>\n",
+       "      <th>406941</th>\n",
        "      <td>21FLKWAT_WQX-SAN-SKI WATCH-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -2024,7 +2024,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395025</th>\n",
+       "      <th>407058</th>\n",
        "      <td>21FLCBA_WQX-OKA-CBA-GAP-1-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -2033,7 +2033,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395292</th>\n",
+       "      <th>407655</th>\n",
        "      <td>21FLCBA_WQX-OKA-CB-BASS-2</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -2042,7 +2042,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395295</th>\n",
+       "      <th>407663</th>\n",
        "      <td>21FLCBA_WQX-OKA-CBA-GAP-3-1</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -2051,7 +2051,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395477</th>\n",
+       "      <th>408027</th>\n",
        "      <td>21FLKWAT_WQX-SAN-SKI WATCH-5</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -2061,50 +2061,50 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>75 rows × 6 columns</p>\n",
+       "<p>79 rows × 6 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "        MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "147997     21FLCBA_WQX-OKA-CB-BASS-1       Not Reported   \n",
-       "148044  21FLKWAT_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
-       "148395   21FLCBA_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
-       "148488     21FLCBA_WQX-OKA-CB-BASS-1       Not Reported   \n",
-       "149503    21FLKWAT_WQX-OKA-CB-BASS-1       Not Reported   \n",
+       "149215     21FLCBA_WQX-OKA-CB-BASS-1       Not Reported   \n",
+       "149262  21FLKWAT_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
+       "149631   21FLCBA_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
+       "149729     21FLCBA_WQX-OKA-CB-BASS-1       Not Reported   \n",
+       "150850    21FLKWAT_WQX-OKA-CB-BASS-1       Not Reported   \n",
        "...                              ...                ...   \n",
-       "394973  21FLKWAT_WQX-SAN-SKI WATCH-1       Not Reported   \n",
-       "395025   21FLCBA_WQX-OKA-CBA-GAP-1-1       Not Reported   \n",
-       "395292     21FLCBA_WQX-OKA-CB-BASS-2       Not Reported   \n",
-       "395295   21FLCBA_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
-       "395477  21FLKWAT_WQX-SAN-SKI WATCH-5       Not Reported   \n",
+       "406941  21FLKWAT_WQX-SAN-SKI WATCH-1       Not Reported   \n",
+       "407058   21FLCBA_WQX-OKA-CBA-GAP-1-1       Not Reported   \n",
+       "407655     21FLCBA_WQX-OKA-CB-BASS-2       Not Reported   \n",
+       "407663   21FLCBA_WQX-OKA-CBA-GAP-3-1       Not Reported   \n",
+       "408027  21FLKWAT_WQX-SAN-SKI WATCH-5       Not Reported   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode  \\\n",
-       "147997                           NaN   \n",
-       "148044                           NaN   \n",
-       "148395                           NaN   \n",
-       "148488                           NaN   \n",
-       "149503                           NaN   \n",
+       "149215                           NaN   \n",
+       "149262                           NaN   \n",
+       "149631                           NaN   \n",
+       "149729                           NaN   \n",
+       "150850                           NaN   \n",
        "...                              ...   \n",
-       "394973                           NaN   \n",
-       "395025                           NaN   \n",
-       "395292                           NaN   \n",
-       "395295                           NaN   \n",
-       "395477                           NaN   \n",
+       "406941                           NaN   \n",
+       "407058                           NaN   \n",
+       "407655                           NaN   \n",
+       "407663                           NaN   \n",
+       "408027                           NaN   \n",
        "\n",
        "                                                  QA_flag Units Secchi  \n",
-       "147997  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "148044  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "148395  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "148488  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "149503  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "149215  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "149262  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "149631  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "149729  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "150850  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
        "...                                                   ...   ...    ...  \n",
-       "394973  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "395025  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "395292  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "395295  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "395477  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "406941  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "407058  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "407655  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "407663  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "408027  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
        "\n",
-       "[75 rows x 6 columns]"
+       "[79 rows x 6 columns]"
       ]
      },
      "execution_count": 29,
@@ -2129,10 +2129,10 @@
    "execution_count": 30,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:34.256535Z",
-     "iopub.status.busy": "2024-09-05T03:01:34.256226Z",
-     "iopub.status.idle": "2024-09-05T03:01:34.273043Z",
-     "shell.execute_reply": "2024-09-05T03:01:34.272573Z"
+     "iopub.execute_input": "2024-11-05T03:02:15.577440Z",
+     "iopub.status.busy": "2024-11-05T03:02:15.577128Z",
+     "iopub.status.idle": "2024-11-05T03:02:15.594729Z",
+     "shell.execute_reply": "2024-11-05T03:02:15.594292Z"
     }
    },
    "outputs": [
@@ -2184,14 +2184,14 @@
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>21AWIC-1063</td>\n",
-       "      <td>118</td>\n",
-       "      <td>0.773729</td>\n",
+       "      <td>120</td>\n",
+       "      <td>0.775167</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>21AWIC-1122</td>\n",
-       "      <td>58</td>\n",
-       "      <td>2.859034</td>\n",
+       "      <td>59</td>\n",
+       "      <td>2.892102</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -2200,55 +2200,55 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>910</th>\n",
+       "      <th>1040</th>\n",
        "      <td>NARS_WQX-NCCA10-1432</td>\n",
        "      <td>1</td>\n",
        "      <td>1.075000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>911</th>\n",
+       "      <th>1041</th>\n",
        "      <td>NARS_WQX-NCCA10-1433</td>\n",
        "      <td>1</td>\n",
        "      <td>1.423333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>912</th>\n",
+       "      <th>1042</th>\n",
        "      <td>NARS_WQX-NCCA10-1434</td>\n",
        "      <td>1</td>\n",
        "      <td>2.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>913</th>\n",
+       "      <th>1043</th>\n",
        "      <td>NARS_WQX-NCCA10-1488</td>\n",
        "      <td>1</td>\n",
        "      <td>0.736667</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>914</th>\n",
+       "      <th>1044</th>\n",
        "      <td>NARS_WQX-NCCA10-2432</td>\n",
        "      <td>1</td>\n",
        "      <td>1.600000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>915 rows × 3 columns</p>\n",
+       "<p>1045 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "    MonitoringLocationIdentifier  cnt      mean\n",
-       "0    11NPSWRD_WQX-GUIS_CMP_PKT01   12  2.333333\n",
-       "1    11NPSWRD_WQX-GUIS_CMP_PKT02   17  2.411765\n",
-       "2    11NPSWRD_WQX-GUIS_CMP_PKT03    3  2.333333\n",
-       "3                    21AWIC-1063  118  0.773729\n",
-       "4                    21AWIC-1122   58  2.859034\n",
-       "..                           ...  ...       ...\n",
-       "910         NARS_WQX-NCCA10-1432    1  1.075000\n",
-       "911         NARS_WQX-NCCA10-1433    1  1.423333\n",
-       "912         NARS_WQX-NCCA10-1434    1  2.400000\n",
-       "913         NARS_WQX-NCCA10-1488    1  0.736667\n",
-       "914         NARS_WQX-NCCA10-2432    1  1.600000\n",
-       "\n",
-       "[915 rows x 3 columns]"
+       "     MonitoringLocationIdentifier  cnt      mean\n",
+       "0     11NPSWRD_WQX-GUIS_CMP_PKT01   12  2.333333\n",
+       "1     11NPSWRD_WQX-GUIS_CMP_PKT02   17  2.411765\n",
+       "2     11NPSWRD_WQX-GUIS_CMP_PKT03    3  2.333333\n",
+       "3                     21AWIC-1063  120  0.775167\n",
+       "4                     21AWIC-1122   59  2.892102\n",
+       "...                           ...  ...       ...\n",
+       "1040         NARS_WQX-NCCA10-1432    1  1.075000\n",
+       "1041         NARS_WQX-NCCA10-1433    1  1.423333\n",
+       "1042         NARS_WQX-NCCA10-1434    1  2.400000\n",
+       "1043         NARS_WQX-NCCA10-1488    1  0.736667\n",
+       "1044         NARS_WQX-NCCA10-2432    1  1.600000\n",
+       "\n",
+       "[1045 rows x 3 columns]"
       ]
      },
      "execution_count": 30,
@@ -2266,13 +2266,21 @@
    "execution_count": 31,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:34.274896Z",
-     "iopub.status.busy": "2024-09-05T03:01:34.274734Z",
-     "iopub.status.idle": "2024-09-05T03:01:34.419069Z",
-     "shell.execute_reply": "2024-09-05T03:01:34.418448Z"
+     "iopub.execute_input": "2024-11-05T03:02:15.596299Z",
+     "iopub.status.busy": "2024-11-05T03:02:15.596087Z",
+     "iopub.status.idle": "2024-11-05T03:02:15.774111Z",
+     "shell.execute_reply": "2024-11-05T03:02:15.773596Z"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n",
+      "  self.bins = quantile(y, k=k)\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
@@ -2285,7 +2293,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2305,10 +2313,10 @@
    "execution_count": 32,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:34.421275Z",
-     "iopub.status.busy": "2024-09-05T03:01:34.420929Z",
-     "iopub.status.idle": "2024-09-05T03:01:34.584285Z",
-     "shell.execute_reply": "2024-09-05T03:01:34.583662Z"
+     "iopub.execute_input": "2024-11-05T03:02:15.775760Z",
+     "iopub.status.busy": "2024-11-05T03:02:15.775590Z",
+     "iopub.status.idle": "2024-11-05T03:02:15.949264Z",
+     "shell.execute_reply": "2024-11-05T03:02:15.948587Z"
     }
    },
    "outputs": [
@@ -2324,7 +2332,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2358,10 +2366,10 @@
    "execution_count": 33,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:34.586624Z",
-     "iopub.status.busy": "2024-09-05T03:01:34.586280Z",
-     "iopub.status.idle": "2024-09-05T03:01:36.847686Z",
-     "shell.execute_reply": "2024-09-05T03:01:36.847221Z"
+     "iopub.execute_input": "2024-11-05T03:02:15.951331Z",
+     "iopub.status.busy": "2024-11-05T03:02:15.950982Z",
+     "iopub.status.idle": "2024-11-05T03:02:18.588046Z",
+     "shell.execute_reply": "2024-11-05T03:02:18.587453Z"
     }
    },
    "outputs": [
@@ -2370,23 +2378,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    80160.000000\n",
-      "mean        21.920816\n",
-      "std         10.423333\n",
+      "count    83690.000000\n",
+      "mean        21.955153\n",
+      "std         10.267861\n",
       "min        -12.944444\n",
       "25%         17.000000\n",
       "50%         22.200000\n",
-      "75%         27.110000\n",
+      "75%         27.140000\n",
       "max       1876.000000\n",
       "dtype: float64\n",
       "Unusable results: 2\n",
       "Usable results with inferred units: 10\n",
-      "Results outside threshold (0.0 to 84.4608124163855): 6\n"
+      "Results outside threshold (0.0 to 83.56231940773235): 6\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2406,10 +2414,10 @@
    "execution_count": 34,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:36.849895Z",
-     "iopub.status.busy": "2024-09-05T03:01:36.849493Z",
-     "iopub.status.idle": "2024-09-05T03:01:36.928554Z",
-     "shell.execute_reply": "2024-09-05T03:01:36.928005Z"
+     "iopub.execute_input": "2024-11-05T03:02:18.589987Z",
+     "iopub.status.busy": "2024-11-05T03:02:18.589581Z",
+     "iopub.status.idle": "2024-11-05T03:02:18.673035Z",
+     "shell.execute_reply": "2024-11-05T03:02:18.672440Z"
     }
    },
    "outputs": [
@@ -2498,53 +2506,53 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398023</th>\n",
-       "      <td>21AWIC-1606</td>\n",
-       "      <td>14.93</td>\n",
+       "      <th>418214</th>\n",
+       "      <td>USGS-302420087140301</td>\n",
+       "      <td>23.0</td>\n",
        "      <td>deg C</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>14.93 degree_Celsius</td>\n",
+       "      <td>23.0 degree_Celsius</td>\n",
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398028</th>\n",
-       "      <td>21AWIC-9631</td>\n",
-       "      <td>18.1337</td>\n",
+       "      <th>418216</th>\n",
+       "      <td>USGS-302703087133501</td>\n",
+       "      <td>24.0</td>\n",
        "      <td>deg C</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>18.1337 degree_Celsius</td>\n",
+       "      <td>24.0 degree_Celsius</td>\n",
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398030</th>\n",
-       "      <td>21AWIC-7290</td>\n",
-       "      <td>18.8128</td>\n",
+       "      <th>418219</th>\n",
+       "      <td>USGS-303733086441001</td>\n",
+       "      <td>22.2</td>\n",
        "      <td>deg C</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>18.8128 degree_Celsius</td>\n",
+       "      <td>22.2 degree_Celsius</td>\n",
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398032</th>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>19.1005</td>\n",
+       "      <th>418222</th>\n",
+       "      <td>USGS-302703087133502</td>\n",
+       "      <td>24.0</td>\n",
        "      <td>deg C</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>19.1005 degree_Celsius</td>\n",
+       "      <td>24.0 degree_Celsius</td>\n",
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398033</th>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>19.2875</td>\n",
+       "      <th>418225</th>\n",
+       "      <td>USGS-02376108</td>\n",
+       "      <td>24.4</td>\n",
        "      <td>deg C</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>19.2875 degree_Celsius</td>\n",
+       "      <td>24.4 degree_Celsius</td>\n",
        "      <td>degC</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>80162 rows × 6 columns</p>\n",
+       "<p>83692 rows × 6 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -2555,11 +2563,11 @@
        "38             21FLPNS_WQX-33010H24              29.78   \n",
        "40             21FLPNS_WQX-33010G10              26.72   \n",
        "...                             ...                ...   \n",
-       "398023                  21AWIC-1606              14.93   \n",
-       "398028                  21AWIC-9631            18.1337   \n",
-       "398030                  21AWIC-7290            18.8128   \n",
-       "398032                  21AWIC-1208            19.1005   \n",
-       "398033                  21AWIC-1208            19.2875   \n",
+       "418214         USGS-302420087140301               23.0   \n",
+       "418216         USGS-302703087133501               24.0   \n",
+       "418219         USGS-303733086441001               22.2   \n",
+       "418222         USGS-302703087133502               24.0   \n",
+       "418225                USGS-02376108               24.4   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode QA_flag                      Temperature  \\\n",
        "2                              deg F     NaN  26.0555555555556 degree_Celsius   \n",
@@ -2568,11 +2576,11 @@
        "38                             deg C     NaN             29.78 degree_Celsius   \n",
        "40                             deg C     NaN             26.72 degree_Celsius   \n",
        "...                              ...     ...                              ...   \n",
-       "398023                         deg C     NaN             14.93 degree_Celsius   \n",
-       "398028                         deg C     NaN           18.1337 degree_Celsius   \n",
-       "398030                         deg C     NaN           18.8128 degree_Celsius   \n",
-       "398032                         deg C     NaN           19.1005 degree_Celsius   \n",
-       "398033                         deg C     NaN           19.2875 degree_Celsius   \n",
+       "418214                         deg C     NaN              23.0 degree_Celsius   \n",
+       "418216                         deg C     NaN              24.0 degree_Celsius   \n",
+       "418219                         deg C     NaN              22.2 degree_Celsius   \n",
+       "418222                         deg C     NaN              24.0 degree_Celsius   \n",
+       "418225                         deg C     NaN              24.4 degree_Celsius   \n",
        "\n",
        "       Units  \n",
        "2       degF  \n",
@@ -2581,13 +2589,13 @@
        "38      degC  \n",
        "40      degC  \n",
        "...      ...  \n",
-       "398023  degC  \n",
-       "398028  degC  \n",
-       "398030  degC  \n",
-       "398032  degC  \n",
-       "398033  degC  \n",
+       "418214  degC  \n",
+       "418216  degC  \n",
+       "418219  degC  \n",
+       "418222  degC  \n",
+       "418225  degC  \n",
        "\n",
-       "[80162 rows x 6 columns]"
+       "[83692 rows x 6 columns]"
       ]
      },
      "execution_count": 34,
@@ -2614,10 +2622,10 @@
    "execution_count": 35,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:36.930764Z",
-     "iopub.status.busy": "2024-09-05T03:01:36.930418Z",
-     "iopub.status.idle": "2024-09-05T03:01:36.950714Z",
-     "shell.execute_reply": "2024-09-05T03:01:36.950166Z"
+     "iopub.execute_input": "2024-11-05T03:02:18.674912Z",
+     "iopub.status.busy": "2024-11-05T03:02:18.674628Z",
+     "iopub.status.idle": "2024-11-05T03:02:18.695053Z",
+     "shell.execute_reply": "2024-11-05T03:02:18.694619Z"
     }
    },
    "outputs": [
@@ -2652,7 +2660,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>156307</th>\n",
+       "      <th>158197</th>\n",
        "      <td>NARS_WQX-OWW04440-0401</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -2661,7 +2669,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>218976</th>\n",
+       "      <th>223742</th>\n",
        "      <td>21FLCBA-FWB05</td>\n",
        "      <td>79.8</td>\n",
        "      <td>NaN</td>\n",
@@ -2670,7 +2678,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>219042</th>\n",
+       "      <th>223808</th>\n",
        "      <td>21FLCBA-FWB05</td>\n",
        "      <td>81.7</td>\n",
        "      <td>NaN</td>\n",
@@ -2679,7 +2687,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>219923</th>\n",
+       "      <th>224689</th>\n",
        "      <td>21FLCBA-FWB02</td>\n",
        "      <td>82.1</td>\n",
        "      <td>NaN</td>\n",
@@ -2688,7 +2696,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>219924</th>\n",
+       "      <th>224690</th>\n",
        "      <td>21FLCBA-FWB02</td>\n",
        "      <td>82.6</td>\n",
        "      <td>NaN</td>\n",
@@ -2697,7 +2705,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>219925</th>\n",
+       "      <th>224691</th>\n",
        "      <td>21FLCBA-FWB02</td>\n",
        "      <td>71.8</td>\n",
        "      <td>NaN</td>\n",
@@ -2706,7 +2714,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>219926</th>\n",
+       "      <th>224692</th>\n",
        "      <td>21FLCBA-FWB02</td>\n",
        "      <td>79.4</td>\n",
        "      <td>NaN</td>\n",
@@ -2715,7 +2723,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>225607</th>\n",
+       "      <th>230373</th>\n",
        "      <td>21FLCBA-RIV02</td>\n",
        "      <td>74.2</td>\n",
        "      <td>NaN</td>\n",
@@ -2724,7 +2732,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>225608</th>\n",
+       "      <th>230374</th>\n",
        "      <td>21FLCBA-RIV02</td>\n",
        "      <td>74.2</td>\n",
        "      <td>NaN</td>\n",
@@ -2733,7 +2741,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>230238</th>\n",
+       "      <th>235004</th>\n",
        "      <td>21FLCBA-FWB01</td>\n",
        "      <td>83.3</td>\n",
        "      <td>NaN</td>\n",
@@ -2742,7 +2750,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>230322</th>\n",
+       "      <th>235088</th>\n",
        "      <td>21FLCBA-FWB01</td>\n",
        "      <td>71.2</td>\n",
        "      <td>NaN</td>\n",
@@ -2756,56 +2764,56 @@
       ],
       "text/plain": [
        "       MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "156307       NARS_WQX-OWW04440-0401                NaN   \n",
-       "218976                21FLCBA-FWB05               79.8   \n",
-       "219042                21FLCBA-FWB05               81.7   \n",
-       "219923                21FLCBA-FWB02               82.1   \n",
-       "219924                21FLCBA-FWB02               82.6   \n",
-       "219925                21FLCBA-FWB02               71.8   \n",
-       "219926                21FLCBA-FWB02               79.4   \n",
-       "225607                21FLCBA-RIV02               74.2   \n",
-       "225608                21FLCBA-RIV02               74.2   \n",
-       "230238                21FLCBA-FWB01               83.3   \n",
-       "230322                21FLCBA-FWB01               71.2   \n",
+       "158197       NARS_WQX-OWW04440-0401                NaN   \n",
+       "223742                21FLCBA-FWB05               79.8   \n",
+       "223808                21FLCBA-FWB05               81.7   \n",
+       "224689                21FLCBA-FWB02               82.1   \n",
+       "224690                21FLCBA-FWB02               82.6   \n",
+       "224691                21FLCBA-FWB02               71.8   \n",
+       "224692                21FLCBA-FWB02               79.4   \n",
+       "230373                21FLCBA-RIV02               74.2   \n",
+       "230374                21FLCBA-RIV02               74.2   \n",
+       "235004                21FLCBA-FWB01               83.3   \n",
+       "235088                21FLCBA-FWB01               71.2   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode  \\\n",
-       "156307                           NaN   \n",
-       "218976                           NaN   \n",
-       "219042                           NaN   \n",
-       "219923                           NaN   \n",
-       "219924                           NaN   \n",
-       "219925                           NaN   \n",
-       "219926                           NaN   \n",
-       "225607                           NaN   \n",
-       "225608                           NaN   \n",
-       "230238                           NaN   \n",
-       "230322                           NaN   \n",
+       "158197                           NaN   \n",
+       "223742                           NaN   \n",
+       "223808                           NaN   \n",
+       "224689                           NaN   \n",
+       "224690                           NaN   \n",
+       "224691                           NaN   \n",
+       "224692                           NaN   \n",
+       "230373                           NaN   \n",
+       "230374                           NaN   \n",
+       "235004                           NaN   \n",
+       "235088                           NaN   \n",
        "\n",
        "                                                  QA_flag  \\\n",
-       "156307  ResultMeasureValue: missing (NaN) result; Resu...   \n",
-       "218976  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
-       "219042  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
-       "219923  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
-       "219924  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
-       "219925  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
-       "219926  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
-       "225607  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
-       "225608  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
-       "230238  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
-       "230322  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
+       "158197  ResultMeasureValue: missing (NaN) result; Resu...   \n",
+       "223742  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
+       "223808  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
+       "224689  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
+       "224690  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
+       "224691  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
+       "224692  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
+       "230373  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
+       "230374  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
+       "235004  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
+       "235088  ResultMeasure/MeasureUnitCode: MISSING UNITS, ...   \n",
        "\n",
        "                Temperature Units  \n",
-       "156307                  NaN  degC  \n",
-       "218976  79.8 degree_Celsius  degC  \n",
-       "219042  81.7 degree_Celsius  degC  \n",
-       "219923  82.1 degree_Celsius  degC  \n",
-       "219924  82.6 degree_Celsius  degC  \n",
-       "219925  71.8 degree_Celsius  degC  \n",
-       "219926  79.4 degree_Celsius  degC  \n",
-       "225607  74.2 degree_Celsius  degC  \n",
-       "225608  74.2 degree_Celsius  degC  \n",
-       "230238  83.3 degree_Celsius  degC  \n",
-       "230322  71.2 degree_Celsius  degC  "
+       "158197                  NaN  degC  \n",
+       "223742  79.8 degree_Celsius  degC  \n",
+       "223808  81.7 degree_Celsius  degC  \n",
+       "224689  82.1 degree_Celsius  degC  \n",
+       "224690  82.6 degree_Celsius  degC  \n",
+       "224691  71.8 degree_Celsius  degC  \n",
+       "224692  79.4 degree_Celsius  degC  \n",
+       "230373  74.2 degree_Celsius  degC  \n",
+       "230374  74.2 degree_Celsius  degC  \n",
+       "235004  83.3 degree_Celsius  degC  \n",
+       "235088  71.2 degree_Celsius  degC  "
       ]
      },
      "execution_count": 35,
@@ -2830,10 +2838,10 @@
    "execution_count": 36,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:36.952633Z",
-     "iopub.status.busy": "2024-09-05T03:01:36.952465Z",
-     "iopub.status.idle": "2024-09-05T03:01:36.968261Z",
-     "shell.execute_reply": "2024-09-05T03:01:36.967827Z"
+     "iopub.execute_input": "2024-11-05T03:02:18.696796Z",
+     "iopub.status.busy": "2024-11-05T03:02:18.696492Z",
+     "iopub.status.idle": "2024-11-05T03:02:18.712995Z",
+     "shell.execute_reply": "2024-11-05T03:02:18.712455Z"
     }
    },
    "outputs": [
@@ -2858,10 +2866,10 @@
    "execution_count": 37,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:36.970143Z",
-     "iopub.status.busy": "2024-09-05T03:01:36.969979Z",
-     "iopub.status.idle": "2024-09-05T03:01:36.990822Z",
-     "shell.execute_reply": "2024-09-05T03:01:36.990384Z"
+     "iopub.execute_input": "2024-11-05T03:02:18.714706Z",
+     "iopub.status.busy": "2024-11-05T03:02:18.714337Z",
+     "iopub.status.idle": "2024-11-05T03:02:18.734720Z",
+     "shell.execute_reply": "2024-11-05T03:02:18.734175Z"
     }
    },
    "outputs": [
@@ -2905,7 +2913,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>156307</th>\n",
+       "      <th>158197</th>\n",
        "      <td>NARS_WQX-OWW04440-0401</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -2920,15 +2928,15 @@
       "text/plain": [
        "       MonitoringLocationIdentifier ResultMeasureValue  \\\n",
        "47448        11NPSWRD_WQX-GUIS_NALO                NaN   \n",
-       "156307       NARS_WQX-OWW04440-0401                NaN   \n",
+       "158197       NARS_WQX-OWW04440-0401                NaN   \n",
        "\n",
        "       ResultMeasure/MeasureUnitCode  \\\n",
        "47448                          deg C   \n",
-       "156307                           NaN   \n",
+       "158197                           NaN   \n",
        "\n",
        "                                                  QA_flag Temperature Units  \n",
        "47448            ResultMeasureValue: missing (NaN) result         NaN  degC  \n",
-       "156307  ResultMeasureValue: missing (NaN) result; Resu...         NaN  degC  "
+       "158197  ResultMeasureValue: missing (NaN) result; Resu...         NaN  degC  "
       ]
      },
      "execution_count": 37,
@@ -2946,10 +2954,10 @@
    "execution_count": 38,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:36.992820Z",
-     "iopub.status.busy": "2024-09-05T03:01:36.992491Z",
-     "iopub.status.idle": "2024-09-05T03:01:37.043384Z",
-     "shell.execute_reply": "2024-09-05T03:01:37.042803Z"
+     "iopub.execute_input": "2024-11-05T03:02:18.736693Z",
+     "iopub.status.busy": "2024-11-05T03:02:18.736217Z",
+     "iopub.status.idle": "2024-11-05T03:02:18.788403Z",
+     "shell.execute_reply": "2024-11-05T03:02:18.787811Z"
     }
    },
    "outputs": [
@@ -3017,38 +3025,38 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2325</th>\n",
+       "      <th>2469</th>\n",
        "      <td>UWFCEDB_WQX-SRC-AI31-22</td>\n",
        "      <td>10</td>\n",
        "      <td>23.020000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2326</th>\n",
+       "      <th>2470</th>\n",
        "      <td>UWFCEDB_WQX-SRC-AI36-22</td>\n",
        "      <td>10</td>\n",
        "      <td>23.230000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2327</th>\n",
+       "      <th>2471</th>\n",
        "      <td>UWFCEDB_WQX-SRC-AI42-22</td>\n",
        "      <td>10</td>\n",
        "      <td>22.650000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2328</th>\n",
+       "      <th>2472</th>\n",
        "      <td>UWFCEDB_WQX-SRC-AI44-22</td>\n",
        "      <td>10</td>\n",
        "      <td>22.890000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2329</th>\n",
+       "      <th>2473</th>\n",
        "      <td>UWFCEDB_WQX-SRC-AK41-22</td>\n",
        "      <td>8</td>\n",
        "      <td>21.462500</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2330 rows × 3 columns</p>\n",
+       "<p>2474 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -3059,13 +3067,13 @@
        "3          11NPSWRD_WQX-GUIS_BOPI    1  32.000000\n",
        "4     11NPSWRD_WQX-GUIS_CMP_PKT01   20  25.125000\n",
        "...                           ...  ...        ...\n",
-       "2325      UWFCEDB_WQX-SRC-AI31-22   10  23.020000\n",
-       "2326      UWFCEDB_WQX-SRC-AI36-22   10  23.230000\n",
-       "2327      UWFCEDB_WQX-SRC-AI42-22   10  22.650000\n",
-       "2328      UWFCEDB_WQX-SRC-AI44-22   10  22.890000\n",
-       "2329      UWFCEDB_WQX-SRC-AK41-22    8  21.462500\n",
+       "2469      UWFCEDB_WQX-SRC-AI31-22   10  23.020000\n",
+       "2470      UWFCEDB_WQX-SRC-AI36-22   10  23.230000\n",
+       "2471      UWFCEDB_WQX-SRC-AI42-22   10  22.650000\n",
+       "2472      UWFCEDB_WQX-SRC-AI44-22   10  22.890000\n",
+       "2473      UWFCEDB_WQX-SRC-AK41-22    8  21.462500\n",
        "\n",
-       "[2330 rows x 3 columns]"
+       "[2474 rows x 3 columns]"
       ]
      },
      "execution_count": 38,
@@ -3083,10 +3091,10 @@
    "execution_count": 39,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:37.045373Z",
-     "iopub.status.busy": "2024-09-05T03:01:37.045199Z",
-     "iopub.status.idle": "2024-09-05T03:01:37.261039Z",
-     "shell.execute_reply": "2024-09-05T03:01:37.260591Z"
+     "iopub.execute_input": "2024-11-05T03:02:18.790313Z",
+     "iopub.status.busy": "2024-11-05T03:02:18.789994Z",
+     "iopub.status.idle": "2024-11-05T03:02:18.989062Z",
+     "shell.execute_reply": "2024-11-05T03:02:18.988583Z"
     }
    },
    "outputs": [
@@ -3102,7 +3110,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3122,10 +3130,10 @@
    "execution_count": 40,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:37.263005Z",
-     "iopub.status.busy": "2024-09-05T03:01:37.262840Z",
-     "iopub.status.idle": "2024-09-05T03:01:37.584563Z",
-     "shell.execute_reply": "2024-09-05T03:01:37.583921Z"
+     "iopub.execute_input": "2024-11-05T03:02:18.990938Z",
+     "iopub.status.busy": "2024-11-05T03:02:18.990525Z",
+     "iopub.status.idle": "2024-11-05T03:02:19.263005Z",
+     "shell.execute_reply": "2024-11-05T03:02:19.262429Z"
     }
    },
    "outputs": [
@@ -3141,7 +3149,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -3168,10 +3176,10 @@
    "execution_count": 41,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:37.586982Z",
-     "iopub.status.busy": "2024-09-05T03:01:37.586633Z",
-     "iopub.status.idle": "2024-09-05T03:01:44.593851Z",
-     "shell.execute_reply": "2024-09-05T03:01:44.593272Z"
+     "iopub.execute_input": "2024-11-05T03:02:19.265017Z",
+     "iopub.status.busy": "2024-11-05T03:02:19.264695Z",
+     "iopub.status.idle": "2024-11-05T03:02:27.102964Z",
+     "shell.execute_reply": "2024-11-05T03:02:27.102337Z"
     }
    },
    "outputs": [],
@@ -3192,10 +3200,10 @@
    "execution_count": 42,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:44.596225Z",
-     "iopub.status.busy": "2024-09-05T03:01:44.596018Z",
-     "iopub.status.idle": "2024-09-05T03:01:44.992103Z",
-     "shell.execute_reply": "2024-09-05T03:01:44.991525Z"
+     "iopub.execute_input": "2024-11-05T03:02:27.105119Z",
+     "iopub.status.busy": "2024-11-05T03:02:27.104919Z",
+     "iopub.status.idle": "2024-11-05T03:02:27.455076Z",
+     "shell.execute_reply": "2024-11-05T03:02:27.454488Z"
     }
    },
    "outputs": [
@@ -3277,48 +3285,48 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398020</th>\n",
-       "      <td>21AWIC-7290</td>\n",
-       "      <td>1.0486</td>\n",
+       "      <th>418147</th>\n",
+       "      <td>21FLPNS_WQX-G4NW0035</td>\n",
+       "      <td>4.81</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>1.0486 milligram / liter</td>\n",
+       "      <td>4.81 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398021</th>\n",
-       "      <td>21AWIC-9630</td>\n",
-       "      <td>7.7673</td>\n",
+       "      <th>418151</th>\n",
+       "      <td>21FLPNS_WQX-G5NW0007</td>\n",
+       "      <td>4.4</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.7673 milligram / liter</td>\n",
+       "      <td>4.4 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398022</th>\n",
-       "      <td>21AWIC-9631</td>\n",
-       "      <td>7.3366</td>\n",
+       "      <th>418166</th>\n",
+       "      <td>21FLPNS_WQX-G3NW0088</td>\n",
+       "      <td>3.34</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.3366 milligram / liter</td>\n",
+       "      <td>3.34 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398025</th>\n",
-       "      <td>21AWIC-7290</td>\n",
-       "      <td>.4967</td>\n",
+       "      <th>418175</th>\n",
+       "      <td>21FLPNS_WQX-G4NW0063</td>\n",
+       "      <td>0.48</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.4967 milligram / liter</td>\n",
+       "      <td>0.48 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398027</th>\n",
-       "      <td>21AWIC-1122</td>\n",
-       "      <td>8.261</td>\n",
+       "      <th>418181</th>\n",
+       "      <td>21FLPNS_WQX-G4NW0080</td>\n",
+       "      <td>3.66</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>8.261 milligram / liter</td>\n",
+       "      <td>3.66 milligram / liter</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>62645 rows × 5 columns</p>\n",
+       "<p>66173 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -3329,26 +3337,26 @@
        "22             21FLPNS_WQX-33020K20               4.53   \n",
        "26             21FLPNS_WQX-33030019               9.32   \n",
        "...                             ...                ...   \n",
-       "398020                  21AWIC-7290             1.0486   \n",
-       "398021                  21AWIC-9630             7.7673   \n",
-       "398022                  21AWIC-9631             7.3366   \n",
-       "398025                  21AWIC-7290              .4967   \n",
-       "398027                  21AWIC-1122              8.261   \n",
-       "\n",
-       "       ResultMeasure/MeasureUnitCode QA_flag                        DO  \n",
-       "7                               mg/L     NaN    6.64 milligram / liter  \n",
-       "13                              mg/L     NaN    8.11 milligram / liter  \n",
-       "21                              mg/L     NaN    6.28 milligram / liter  \n",
-       "22                              mg/L     NaN    4.53 milligram / liter  \n",
-       "26                              mg/L     NaN    9.32 milligram / liter  \n",
-       "...                              ...     ...                       ...  \n",
-       "398020                          mg/L     NaN  1.0486 milligram / liter  \n",
-       "398021                          mg/L     NaN  7.7673 milligram / liter  \n",
-       "398022                          mg/L     NaN  7.3366 milligram / liter  \n",
-       "398025                          mg/L     NaN  0.4967 milligram / liter  \n",
-       "398027                          mg/L     NaN   8.261 milligram / liter  \n",
-       "\n",
-       "[62645 rows x 5 columns]"
+       "418147         21FLPNS_WQX-G4NW0035               4.81   \n",
+       "418151         21FLPNS_WQX-G5NW0007                4.4   \n",
+       "418166         21FLPNS_WQX-G3NW0088               3.34   \n",
+       "418175         21FLPNS_WQX-G4NW0063               0.48   \n",
+       "418181         21FLPNS_WQX-G4NW0080               3.66   \n",
+       "\n",
+       "       ResultMeasure/MeasureUnitCode QA_flag                      DO  \n",
+       "7                               mg/L     NaN  6.64 milligram / liter  \n",
+       "13                              mg/L     NaN  8.11 milligram / liter  \n",
+       "21                              mg/L     NaN  6.28 milligram / liter  \n",
+       "22                              mg/L     NaN  4.53 milligram / liter  \n",
+       "26                              mg/L     NaN  9.32 milligram / liter  \n",
+       "...                              ...     ...                     ...  \n",
+       "418147                          mg/L     NaN  4.81 milligram / liter  \n",
+       "418151                          mg/L     NaN   4.4 milligram / liter  \n",
+       "418166                          mg/L     NaN  3.34 milligram / liter  \n",
+       "418175                          mg/L     NaN  0.48 milligram / liter  \n",
+       "418181                          mg/L     NaN  3.66 milligram / liter  \n",
+       "\n",
+       "[66173 rows x 5 columns]"
       ]
      },
      "execution_count": 42,
@@ -3368,10 +3376,10 @@
    "execution_count": 43,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:44.994061Z",
-     "iopub.status.busy": "2024-09-05T03:01:44.993892Z",
-     "iopub.status.idle": "2024-09-05T03:01:45.007075Z",
-     "shell.execute_reply": "2024-09-05T03:01:45.006621Z"
+     "iopub.execute_input": "2024-11-05T03:02:27.456769Z",
+     "iopub.status.busy": "2024-11-05T03:02:27.456595Z",
+     "iopub.status.idle": "2024-11-05T03:02:27.470487Z",
+     "shell.execute_reply": "2024-11-05T03:02:27.469932Z"
     }
    },
    "outputs": [
@@ -3453,48 +3461,48 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398020</th>\n",
-       "      <td>21AWIC-7290</td>\n",
-       "      <td>1.0486</td>\n",
+       "      <th>418147</th>\n",
+       "      <td>21FLPNS_WQX-G4NW0035</td>\n",
+       "      <td>4.81</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>1.0486 milligram / liter</td>\n",
+       "      <td>4.81 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398021</th>\n",
-       "      <td>21AWIC-9630</td>\n",
-       "      <td>7.7673</td>\n",
+       "      <th>418151</th>\n",
+       "      <td>21FLPNS_WQX-G5NW0007</td>\n",
+       "      <td>4.4</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.7673 milligram / liter</td>\n",
+       "      <td>4.4 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398022</th>\n",
-       "      <td>21AWIC-9631</td>\n",
-       "      <td>7.3366</td>\n",
+       "      <th>418166</th>\n",
+       "      <td>21FLPNS_WQX-G3NW0088</td>\n",
+       "      <td>3.34</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.3366 milligram / liter</td>\n",
+       "      <td>3.34 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398025</th>\n",
-       "      <td>21AWIC-7290</td>\n",
-       "      <td>.4967</td>\n",
+       "      <th>418175</th>\n",
+       "      <td>21FLPNS_WQX-G4NW0063</td>\n",
+       "      <td>0.48</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.4967 milligram / liter</td>\n",
+       "      <td>0.48 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398027</th>\n",
-       "      <td>21AWIC-1122</td>\n",
-       "      <td>8.261</td>\n",
+       "      <th>418181</th>\n",
+       "      <td>21FLPNS_WQX-G4NW0080</td>\n",
+       "      <td>3.66</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>8.261 milligram / liter</td>\n",
+       "      <td>3.66 milligram / liter</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>39567 rows × 5 columns</p>\n",
+       "<p>43095 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -3505,26 +3513,26 @@
        "22             21FLPNS_WQX-33020K20               4.53   \n",
        "26             21FLPNS_WQX-33030019               9.32   \n",
        "...                             ...                ...   \n",
-       "398020                  21AWIC-7290             1.0486   \n",
-       "398021                  21AWIC-9630             7.7673   \n",
-       "398022                  21AWIC-9631             7.3366   \n",
-       "398025                  21AWIC-7290              .4967   \n",
-       "398027                  21AWIC-1122              8.261   \n",
-       "\n",
-       "       ResultMeasure/MeasureUnitCode QA_flag                        DO  \n",
-       "7                               mg/L     NaN    6.64 milligram / liter  \n",
-       "13                              mg/L     NaN    8.11 milligram / liter  \n",
-       "21                              mg/L     NaN    6.28 milligram / liter  \n",
-       "22                              mg/L     NaN    4.53 milligram / liter  \n",
-       "26                              mg/L     NaN    9.32 milligram / liter  \n",
-       "...                              ...     ...                       ...  \n",
-       "398020                          mg/L     NaN  1.0486 milligram / liter  \n",
-       "398021                          mg/L     NaN  7.7673 milligram / liter  \n",
-       "398022                          mg/L     NaN  7.3366 milligram / liter  \n",
-       "398025                          mg/L     NaN  0.4967 milligram / liter  \n",
-       "398027                          mg/L     NaN   8.261 milligram / liter  \n",
-       "\n",
-       "[39567 rows x 5 columns]"
+       "418147         21FLPNS_WQX-G4NW0035               4.81   \n",
+       "418151         21FLPNS_WQX-G5NW0007                4.4   \n",
+       "418166         21FLPNS_WQX-G3NW0088               3.34   \n",
+       "418175         21FLPNS_WQX-G4NW0063               0.48   \n",
+       "418181         21FLPNS_WQX-G4NW0080               3.66   \n",
+       "\n",
+       "       ResultMeasure/MeasureUnitCode QA_flag                      DO  \n",
+       "7                               mg/L     NaN  6.64 milligram / liter  \n",
+       "13                              mg/L     NaN  8.11 milligram / liter  \n",
+       "21                              mg/L     NaN  6.28 milligram / liter  \n",
+       "22                              mg/L     NaN  4.53 milligram / liter  \n",
+       "26                              mg/L     NaN  9.32 milligram / liter  \n",
+       "...                              ...     ...                     ...  \n",
+       "418147                          mg/L     NaN  4.81 milligram / liter  \n",
+       "418151                          mg/L     NaN   4.4 milligram / liter  \n",
+       "418166                          mg/L     NaN  3.34 milligram / liter  \n",
+       "418175                          mg/L     NaN  0.48 milligram / liter  \n",
+       "418181                          mg/L     NaN  3.66 milligram / liter  \n",
+       "\n",
+       "[43095 rows x 5 columns]"
       ]
      },
      "execution_count": 43,
@@ -3548,10 +3556,10 @@
    "execution_count": 44,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:45.009023Z",
-     "iopub.status.busy": "2024-09-05T03:01:45.008701Z",
-     "iopub.status.idle": "2024-09-05T03:01:45.052179Z",
-     "shell.execute_reply": "2024-09-05T03:01:45.051604Z"
+     "iopub.execute_input": "2024-11-05T03:02:27.472317Z",
+     "iopub.status.busy": "2024-11-05T03:02:27.471976Z",
+     "iopub.status.idle": "2024-11-05T03:02:27.516237Z",
+     "shell.execute_reply": "2024-11-05T03:02:27.515703Z"
     }
    },
    "outputs": [
@@ -3619,38 +3627,38 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1855</th>\n",
+       "      <th>1999</th>\n",
        "      <td>UWFCEDB_WQX-SRC-AI31-22</td>\n",
        "      <td>20</td>\n",
        "      <td>3.723390</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1856</th>\n",
+       "      <th>2000</th>\n",
        "      <td>UWFCEDB_WQX-SRC-AI36-22</td>\n",
        "      <td>20</td>\n",
        "      <td>3.513705</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1857</th>\n",
+       "      <th>2001</th>\n",
        "      <td>UWFCEDB_WQX-SRC-AI42-22</td>\n",
        "      <td>20</td>\n",
        "      <td>3.677337</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1858</th>\n",
+       "      <th>2002</th>\n",
        "      <td>UWFCEDB_WQX-SRC-AI44-22</td>\n",
        "      <td>20</td>\n",
        "      <td>3.658370</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1859</th>\n",
+       "      <th>2003</th>\n",
        "      <td>UWFCEDB_WQX-SRC-AK41-22</td>\n",
        "      <td>16</td>\n",
        "      <td>2.706512</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1860 rows × 3 columns</p>\n",
+       "<p>2004 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -3661,13 +3669,13 @@
        "3          11NPSWRD_WQX-GUIS_BOPI    1  7.540000\n",
        "4          11NPSWRD_WQX-GUIS_FPPO    1  9.950000\n",
        "...                           ...  ...       ...\n",
-       "1855      UWFCEDB_WQX-SRC-AI31-22   20  3.723390\n",
-       "1856      UWFCEDB_WQX-SRC-AI36-22   20  3.513705\n",
-       "1857      UWFCEDB_WQX-SRC-AI42-22   20  3.677337\n",
-       "1858      UWFCEDB_WQX-SRC-AI44-22   20  3.658370\n",
-       "1859      UWFCEDB_WQX-SRC-AK41-22   16  2.706512\n",
+       "1999      UWFCEDB_WQX-SRC-AI31-22   20  3.723390\n",
+       "2000      UWFCEDB_WQX-SRC-AI36-22   20  3.513705\n",
+       "2001      UWFCEDB_WQX-SRC-AI42-22   20  3.677337\n",
+       "2002      UWFCEDB_WQX-SRC-AI44-22   20  3.658370\n",
+       "2003      UWFCEDB_WQX-SRC-AK41-22   16  2.706512\n",
        "\n",
-       "[1860 rows x 3 columns]"
+       "[2004 rows x 3 columns]"
       ]
      },
      "execution_count": 44,
@@ -3685,10 +3693,10 @@
    "execution_count": 45,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:45.054496Z",
-     "iopub.status.busy": "2024-09-05T03:01:45.054157Z",
-     "iopub.status.idle": "2024-09-05T03:01:45.238717Z",
-     "shell.execute_reply": "2024-09-05T03:01:45.238065Z"
+     "iopub.execute_input": "2024-11-05T03:02:27.518007Z",
+     "iopub.status.busy": "2024-11-05T03:02:27.517670Z",
+     "iopub.status.idle": "2024-11-05T03:02:27.739178Z",
+     "shell.execute_reply": "2024-11-05T03:02:27.738673Z"
     }
    },
    "outputs": [
@@ -3704,7 +3712,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3724,10 +3732,10 @@
    "execution_count": 46,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:45.240788Z",
-     "iopub.status.busy": "2024-09-05T03:01:45.240452Z",
-     "iopub.status.idle": "2024-09-05T03:01:45.490097Z",
-     "shell.execute_reply": "2024-09-05T03:01:45.489569Z"
+     "iopub.execute_input": "2024-11-05T03:02:27.740933Z",
+     "iopub.status.busy": "2024-11-05T03:02:27.740763Z",
+     "iopub.status.idle": "2024-11-05T03:02:28.107017Z",
+     "shell.execute_reply": "2024-11-05T03:02:28.106322Z"
     }
    },
    "outputs": [
@@ -3743,7 +3751,7 @@
     },
     {
      "data": {
-      "image/png": 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Y1q5di/3792PDhg2ez3/ve98Lv9+Pb37zm9Peh3g8jlgshtHRUUSjF/mcepp1Mn4CSAxW+GAJ6H4gugqYOOXd3lrzA9EVEHqgtjtaJzL+mtXHocxHiR6wGkZVqOVSiPCCGe0bkZfZOGfYr/Hb9/w+WgIzq+cZS2Ww4t+faqhz3LTDGcMw8O1vfxsTExPo7e3F4cOHkU6nsWnTJucxa9aswdKlS7F//37PbZimiR/84Ae4/PLLsXnzZnR1deGaa67B9773vZKvnUwmEY/Hc25Ec6apu/LHCqFqIUb6iq+LYaZLN1VqNMFWlM8qaFbyocTjpMzeAGCyn9kHuuDZTaJmems0VQcPzz77LCKRCILBIP7iL/4Cjz76KK644gr09/cjEAigtbU15/Hd3d3o7+/33Nbg4CDGx8dx33334YYbbsD//b//F7feeiu2bNmCffv2Fd2HHTt2IBaLObclS5ZU+zaIaqfqDIHIBhHFZCYgM4kZ7dasCUTV7JNSmrrVyIazCJaLlKpmIj2uZmikx1RDqfR48SJMoguFJmpzazBVBw+rV6/GkSNHcPDgQXz4wx/GHXfcgeeff35aL25ajWNuvvlm3HXXXXjjG9+IT3ziE3jXu96Fhx56qOjz7rnnHoyOjjq3kydPTuv1iWpBCAHo4eIPkFYPAyNp3RIqu1CutsGYqu2O1okQAmhfq1p0535H/a+pB4itACKLcxts2VmGzKRVcOkKKuyunRPeFx5ENLeqHogJBAJYuXIlAGD9+vU4dOgQvvCFL+D2229HKpXCyMhITvZhYGAAPT3eLXoXLFgAn8+HK664Iuf+tWvX4uc//3nRfQgGgwgGg9XuOlH9NHUDY68W3i9NFSjk3mndJwAZKFFkmXu/TMaB+G9VgaLQVAOmyFL178Q5wEipws1Q26wXWAlfCLLzTaqnw9RZlTHwNanAIRBVAUbzIshADJgYUIuKCUMFDcWW65YSGH0JMtzJLp104apBh8kZL+ldBzPuymKaJpLJJNavXw+/348nnngCW7duBQD09fXhxIkT6O3t9XxuIBDAW97yFvT19eXc/+KLL2LZsmUz3TWi2RPqUCf15FD2Plmua6IEMgnAXyRr4c8OBcihF4Cx13K/P/ISMHpcdXJ0X7ULHTK6AqK5ilqMGhCaDjT3qFuxx/ibgdYVasrq2V+rgKfYiqT2EMdwH9B5dR33nKh+uDAW1HDBjTfeiKVLl2JsbAy7d+/Gk08+ib179yIWi2Hbtm24++670d7ejmg0ijvvvBO9vb05My3WrFmDHTt24NZbbwUA/M3f/A1uv/12vO1tb8M73vEO/OhHP8Jjjz2GJ598sqZvlKiehBCQ0eXAqAmkRqx7K5ieKNOADBWePAOtEJpfPWTsZGHgIHSVcdACKruR0+7ZUFfsQkA0NeZy4EJokK0rgMHD5bvnJYchpWzID1Cii1VVwcPg4CA++MEP4syZM4jFYli3bh327t2Ld77znQCAnTt3QtM0bN26FclkEps3b8YDDzyQs42+vj6Mjo46X99666146KGHsGPHDvzlX/4lVq9eje9+97u49tpra/D2iGaPEAJoXQk5dgKYGiyygJYHM6Omb9p8zUDkkuzXo69k/60H1VTOSoz+VqX8G/Wk62+p7HHSULdiHT2JGth8Xdtixn0eGgH7PFCjkUYGOPeMR72DBz0I+CKAvwkItgH+iHPCl0YKOPUT9ThfOLtmhuefbf59QvWLaOA1NeTpX6i6h1KfjVIC3RsgAmVmdBBVaDb7PLx2xyZEZ9jnIZ7KYNnXf9xQ5ziG8kR1IHSfGsYYebGCR2vqBNp2eWGhox18CJ+r7bV9prVXqNTUXVLmTW2UwNgJyKkBIHoZRLAxPnRyRC5RmRWJwuELO0ASulqdVJqQWhhaJ5ftpguH0GaeOWjABpNcGIuoXkS4s3yqXfNbJ00TSI4Wfl8PqpOn7gegWetn2PUOPuvfAk4QoQXUY2wyrQKQ0T7I9FgN312NtCxT+wxR2CTK5m+2jkEAQiZhDhyek10loiwGD0T11LEORf/MhJ4bXEydK3yI5gOC7VZrZ5EdsihVxyB012vK7FTI+GvFnjFnhBBA9++oIMnNDiD8zdn3DgBCh4DJzpN04RA1ujUYBg9EdST8YaBlhSsjYGUP9KB1n+tTITMOOfwipJlXaNnUBacrZaU0V1Bid7I0piAnz0/3rdSN8IWBhb1A+1WQwqeOiy8MhNqsaajuBwtA80MOHJqbnSWqlh30z/TWYBg8ENVboFmdzPUg4AtlhyIKPhAkkJkAxvM6pqZGZ/jh4bpKnzwFee7XjbfstZFUU1z9zUCgJTtU4aUBP0iJLjYMHojqzd9c4fRKAUACySFIw9V1sdgCWhVtz/1/+99CTeNMT05zu7UljZTqnFnN+2T8QBeIeZp44GwLonoTQkBGlqgTZPlHAwDk0G/USRV+CH+gsimfRbYFzb6C17KfQlIC8eNAx5XT2G6NTZ3N9sRIJ4BQmf4PUpZfxJOoUdRiYasG7PPA4IFoNvhCcDILzv+LEwCg+wAjBZlOT+/KQwjrZawEo7sOQghAGpBGGsLVoEpmrNUtpVTDLXqork2mpJRAcjh7RyiqmmYJzftyS6p1QUT3+rrtExGVx+CBaDak4ur/QivS4Cmf9RjdDyEBKTPZTL0TFJTYjj3Dws55aoHCyeJCAFMDkHpIzfoYO251crReadwEpISMXAI0LapTEJHbwlsIAZmaggg2Ze92zzCRBqQIQCtWD0HUYGox7MBhC6KLlR0wVDXF0MpQCEBAt1L7Mudb3q/lsUqlczWfV6iZOOfar/wpoNan3thJID0JGVtZ8wBCCA1S6Dn7LMJRyMQEoGtqqioEIE3VtTOwEFr70pruA1F91aJoofGiBwYPRLPBnnJYtLV0GUKoE790X6lLVy2EK5oQmtV8yro6l6a1PoTVfVK3h1Dytu/slnTdJ9VwR+IsEO4Egq3V73s5oXZV9+DenZDVito+Vq2rofmbav/aRDQtnG1BNBv8EWsFzEoDh7zUgpSuzIPdTVJHNgiwHqv5AV+TGoZQfXFVEKEF4Py5GwlrP/L6SdidKvPvE9brTQ5U/HarElpg7Z8HIYDwAggGDnSh0mp0azANuEtE848QAohdWlh34MmVXZBSNXkyM9b/rX8bGSC/mZTdfEq9oPvF1f/d00WNRKm9zdsdK2Ax6jO1U2g+ILYCCMTyvqEDTT1A08K6vC7RbBBC1OTWaDhsQTRLhK8Jsm21StEnhjxqE+yZGNa/7cDBs7jBajvtTlBo/uKtq52iQ7u+YDpDJ/X7uBCaH2hZCmlmrMBGA3zhhvzQJKrKPK2YZPBANIuEHgQii4HIYtUIavQl1TYadtjgzibkzkQo5KpNUBsv/SEjBAAtd0ZFpaQBhBdU95ximzLTVvBkAv4WiEAku4uaD9AiJZ5NRI2AwQPRHBG6DrSvgUxPQsRfgzSn1P32AyqqjyjfM8KRM+NDzWDwHkbxqLXQAkCoq7LXKfryJjDyMjB2Au4gSQZiQMdVEP7mGW2fqBHN08QDgweiuSb8TUDHWggAZv8RSN1QIYGUZSZo5RdVGgDKZB+kqb5vpoF0Ug11aEE4J/P8YQ97pkbbFYDQ1LACBGAm1ff1IEQFPRekkQKGngeMKcDfpFpRGyn1+kYSOPsryI51EMFo2W0RXVDYYZKI6k3reaPqZzB2HMI4j9w6iDLMNOAr8idtZx3MDAAz2w7aTGdX3XQIQPer/5tpdXIfOmot7uWzZnJk182QwVYg3A1RpBhUJs4DY69a0z6tok0hVMGnkQaQVtsePgoZ7gKiy4tui4gaA4MHogYjdB/Qugqy/zxKBw4yL7Qw1YleD+ZmEJzAIWX1e7CDhWLblior4AsDejg7g0MPeLSNttpLZxKQLZcWFDjK9LgKHIDs81ITQGYq9yXNNJC0AhlpAq2rSrxvoguIxwzoaW2jwTB4IGpYmtXYqdigqYDI79UgM0DGBDQ/JHQIyOwQQUFtRJlPJCNp9ZLQVMZBKzE8YUyppcPzm0hN9uc9LlUYOLilJ4DEechkJ0Q9GlIRzbJaTLVsxFlHzA0SNaqmLnVFLs0i7a0FAOvknkeaGQgzbT3fa9ZGBR9G0rSeZqrXKVfA6V7gCtaiV6nR3MekSwQOtkwCGH3ZWlWUiBoRgweiRhVZYvVlyKjsgZm2hhxEdvjA7v4ofK6b5rpSsdpa6+G8Pg0VXskITT22kumdZgUnezNT2WOkWZi1ILoQiRrdGgyDB6IGJTQd6HxTdiltaWZnS1S0AYGceWKaVQRZ9Z+9UIFBahxIT1p1CR5ZiLxZF0IIax2Naln7O3VWZS+ILmBCEzW5NRrWPFBNSCOlOicmh63mPxGgqQvCz4Y/MyH8zZDdvcDUoLqlK20R7bXwlVTZB69VNz03oWefJwHItMoKpCdUMaWvCdBcgYhXjUK4Gxh/Lfu1HlC1FKXodrBkwBkyIaKGwuCBZkymxoCRvuz0P0C1GE6cg4wshmheNHc7Nw8ITQOae9QNgDz3rCpQrHpDIvdnVI67QFII1Q9CC6iaBLvo0d9sZTd8QKCtcBuhDiAVB5JD1uPDFQQPQXsHwOQoXfDm6WwL/mXSjEjTAEZeLDwpSWtthrGTkJODc7Nz81XbFQVDBLlq0NLOnpYJwFlt0x5C8FlDEZkp9XPXQ0DLpWqYJX9PhACiywFh93fQVVaqmEBL9nXDCxqyypyoKu7hw5ncGgyDB5qZxLncNLjdzlhmsrfRlyDPP6fWNKAZE7oO0bXeY60J6yRf7IOm2KJZha8A77bVLvYS2mYKaF4MoRdZUhtWAOELq9c3rMJLX9iqwbCWDdf8gK85W98hdKCZq2nShW+exg4MHmiGUvHcr+12xgWPGwXO/VplKqg2mhZaMy3sW5lPGSGyJ+dSvLIa+dt2ijilmgVSgkxPAOm4NWySya6poQfUMIYvbGU6oIoxfU1A+xVqETEiakhVBQ8PPvgg1q1bh2g0img0it7eXvzwhz90vp9IJLB9+3Z0dHQgEolg69atGBgYKLnNP/mTPylYt/yGG26Y3ruhuSUlkN+0yM1IAhOvz9ruzHtmFfULNk2vYMijyMeCPWzhDiKEnm05XYzd/8EothS4FdQIHyAB0XEVhC9ceptEFwp7bYuZ3hpMVcHD4sWLcd999+Hw4cN4+umnsXHjRtx88804evQoAOCuu+7CY489hj179mDfvn04ffo0tmzZUna7N9xwA86cOePcvvWtb03v3dDs87dk/11JMd5k6WCSquALV7ygJoDsSd8XgHSmbbq/bwUCWpGPhZx211IFGYGWkkMW6vGmei2Z3+PBmsrpb1LDIHoA8Icgh45ZC3ARXfgEajBsMddvwkNVwcNNN92E//Jf/gtWrVqFyy+/HPfeey8ikQgOHDiA0dFRPPzww/jXf/1XbNy4EevXr8euXbvw//7f/8OBAwdKbjcYDKKnp8e5tbV5VG1TYwovcF2pVhA8mGnO3a8RoWlqtkOlx9P1OKH7IPWAChbs/2v2gldFtufOPJhpazpuBXUJesh7m75QblGmHZwYU8DIS2oJbyKqSj1GCLxMu+bBMAx8+9vfxsTEBHp7e3H48GGk02ls2rTJecyaNWuwdOlS7N+/v+S2nnzySXR1dWH16tX48Ic/jPPnz5d8fDKZRDwez7nR3BCaD4itQuXzkSQw0gdZaa8BKq11lcoY2LNbbMUCCncAIYTKMjj/z3lg4XPtwEKagK8FaF0F4W8uv4+hdhT8bmg+lCzuNBIF7a6JLkizXDFZrxGCfFX3eXj22WfR29uLRCKBSCSCRx99FFdccQWOHDmCQCCA1tbWnMd3d3ejv794m9kbbrgBW7ZswfLly/HKK6/g7/7u73DjjTdi//790HXvsdkdO3bgs5/9bLW7TnUigjHIBeuA4WNAerzMg3X1mLGTQPTSWdm/+UxoPnXs47/NFq+Wy0SU+r5XACGBbJMpHYhdDgQiFU+jFJoPsmUZMPJStpi2XJ0EACSGVJ8IogtYLWZL2M/Pv1AOBoMIBnMLi2+66aacr++99148+OCDOHDgABYvXoyHH34Yu3fvxsaNGwEAu3btwtq1a3HgwAFs2LCh4n2qOvOwevVqHDlyBAcPHsSHP/xh3HHHHXj++eer3Yzjve99L9797nfjDW94A2655RZ8//vfx6FDh/Dkk08Wfc4999yD0dFR53by5Mlpvz7VhtCDQPuVZYrxkP1+4hynbtaI0HwQrZcDvki2AVO5Tyv32hdlXwAq22BmgFAHRLCl6v4LIrwAaL+iyD4UwboHohxLlixBLBZzbjt27Cj5+FqOEOSrOvMQCASwcuVKAMD69etx6NAhfOELX8Dtt9+OVCqFkZGRnOzDwMAAenp6Kt7+ihUrsGDBArz88su47rrrPB/jFW3R3BOaD7JjHXD+WY/iOKirTfcJIz0OBFnfMlPSNIGpAdVzQ/PDShWUf6KdTaiU0FRr6umaSmRf0ym6LLGfrkJMmRoDxl5VwxnQVEYislTVfRA1slrMlrCef/LkSUSjUefuYufBWo8QeJlxe2rTNJFMJrF+/Xr4/X488cQT2Lp1KwCgr68PJ06cQG9vb8XbO3XqFM6fP4+FC9kg5oIkoCrnpcjOvhACqhlQ3h8Q6yZnTE6dBeLH1Rfu4Mye4VBJBqKSAMIZtqj+ZC1NExh8GoCppmNqItvroZSQaoIlh/uAZF4d1ORpYPIMZPsbIAJcP4UaWA3HLewiyHLsEYLR0VF85zvfwR133IF9+/bNbB/yVBU83HPPPbjxxhuxdOlSjI2NYffu3XjyySexd+9exGIxbNu2DXfffTfa29sRjUZx5513ore3N2ccZc2aNdixYwduvfVWjI+P47Of/Sy2bt2Knp4evPLKK/j4xz+OlStXYvPmzTV9o1R/0mpHnQ0WypwcKim2o6JkckTVOtg1CQUfUBVmIColUHENgjRN1dMjOaT2wxewhj6sXg/C2j973/P5W4BAFHLsRGHgkH0VYOhZyM7fhShSH0V0Mar3CAFQZfAwODiID37wgzhz5gxisRjWrVuHvXv34p3vfCcAYOfOndA0DVu3bkUymcTmzZvxwAMP5Gyjr68Po6OjAABd1/Gb3/wGX//61zEyMoJFixbh+uuvxz/8wz9wWOJClJlUaWUhVOahVGoh2Fq+PwCVFn+1+MnXVqolddVTZoVHS2yvzUpg9CU15TLn9QWg+60lva2b0ADpzkpp6jWaF0IIATlxutyrAUO/gex4g5r5Q9RgalkwOV21HiEAqgweHn744ZLfD4VCuP/++3H//fcXfYx7jn84HMbevXur2QVqZEYi+2+he9c9AOqEEVk2O/s0T0nTVMWRZT9VSmQfhFBdKgW8u0fmbEYFAaKSYYupweyqnzndKK1/azpgmHCmfUpD7WPTQiCyyFlgS2aSqKh3iDEFxF8BWleXfyzRbJvl6KEWIwSVYKhOteM+sQgB9etl5naeFJq68pw8A7Qsne09nD/M9Mw+kEx78TI7MyAqGGZqKf1929Rg+YyH0LLTNl3TQHNX5qyiF0gqDpmehPA3Vf4colkgKhjBrWQblarFCEElGDxQ7fijsC5j1ddCAMhfS0EDdB+QHIH0hYFQO0S56Z1USPOXXyXTyfLlFU+a6dzFrOyHCZ/6WRWbwRCqYMgiOaqmWJZboAt21sP1Wvkzb7RQ2dezNqj+lxxWra6JLmK1GCGoBIMHqhmh6ZDhBcDUWa/vFjYGSpwHEsOQkcW8YqyS0DRIzVf6RO01ZGBmiq+C6QwzFQkexo5DBts9p0fKqbPA6Csqm+ALo2ShpjuokXAeKwK5i2EJTYMMxNSKrCVp1jbYzpoaUCMUPdQBgweqraaFgJFSH/jugjy7ONJ9EjNS6upz+AXIYCsQubR81byzBLRUU0Ib8I+qWtLMqIArPa7eXzAGhDvL1xc0XQKMv1bhi1g/i3KNuWQGkL7C42p/PXGqYLhJTg6qAknnjgqmiTpDWVZNhr9IpXfrauDsYe9l3gEAmpUpkYDuvRKnTAyrmR9GynqKD2jqgWjqKr5/RLViJdpmvI0Gw+CBakoIARlZDJwdzA5X2FXw9th2ZgowU9knSaiT59RZyLbVEB6No2QmoZogGUkIZ1hEAwKtKt19gQYRMjGs2jbbV81SqumN8eOQkSUQkUuKP7m5Gxg7Ds8eGp6sIsWyO2V6dwqVUg0N5NeqxH+b+7WRslb89BhWcYIY++cvAV8HREeJAlq9GciMeey7a4hF6NYaGtZWMwmrZfeIdY/IDsuYGWDidcjxU0AgBrQsg9D5UUhUDf7FUM0JzacyCfbCRsI17dZI5gYO+Yb7IBe8GcKnMhXSzFidBdPODA4JaZ0IJDBxWi3zHYyp1sn6hTPFV6YngZEXkXNSdC97PXYC0kxBRJd7b2DqLFRAUGE1VcVTM0s9LndoQCaGPbICUv2c9aD3a9ottAEgEINoX1n85cZeA8xENgA1rdfPHzqJrnAyNTI1Bgw9W7hPMq0yK5r1OyIEkI4Dw0fVcEzLkuL7QTRNQoiq27l7baPRMHig+ogssYYuXClsKXNPHMWMvggZ6gDSk9aVo1AnD6PE6qnpODB+EjLUCUQvrWxK4VybOIOiJ2r7eI2dhAwtgAjkznSQk/3Aud8AEECgVMc516p8EhWWBZRqGZ03NFCsXbU0VN8PzZ/NYkhTncDdwp1FX0oaKdfKmlYhrlcxZ2wVRLA1+/XwC8X3H1IFr05gY838SA5B6gGIpu4SzyWahhq2p24kF8AnLF2IhC8MtF0J+JqthkDSukKt4OrXzKhsQmoITqrd7htQTuKsulq9ECSHyj9GaMDAIUjXSVpKExg6Zn9VvJ8GRO7JVmio7E/evf6E86Lq/5G8q/Nyjb7MtOr/YSQKAwcIID0JmRrN6f/iSI8VPt4efjBMlY0y0sDQUcj+/ZCDL1qZkHILapm5U1Rtk9X19ie6mDF4oLoR/iaIjquAliVV1iQI1bpat8bNy54M8kwNQlaS4Zhr5YYR3FMrT/8CcvS4ChwS53OHftITqs7APuHnN3xyH/tyJ3vND6d1tNPEyUpXhDsh8luKhxZg2tVc/hYVVEycASbOeAcQ+fSQlb2yMlqwWqFDAMY5tSx8RVwpGGk6x0gaVfSWIKqEELW5NRgGD1R3ItimTjKVDiXYUzr1oLrKrJaUwORg9c+bbf6m0gGElNZaEAAgVX3E4DOq4DRfZhJIxa0ZLOni29V0wBfy+FnYBYVFfkYtSz1rL4SmAc1lFrHzNaubfaLXQoC/NVvHAKhhp/wpmf68Ba80vwqU3MFRzgerq8dIJexhC3ezKk73pFrTkB26mPZtrt9EIdY80KwQ4QWQelDNLChVMCm07ElFSnWiS5eZXqieaP3fmvqXHFYZj0bW1KOmZ5aSf6wS51H8St81vBOMFd+m0K3ZEKbVadJ01UV4nHyFKBnEiehylRHxSvsHWoG2tUBquEj/D5fkMOCqXRB6MLfPg9PXwppdIjT1Xpxlvg31/UrWA5PClWGx75MQul/1rJjst6a1amoWR/Mirp1B5MK/Bpo1ItAC2X4VcO6ZYo9QqeycdHul3SeFuqp2rpxNyNGX1Ye+r0EbUIU6gKlzrlkprpkWQlh1Ah5XwolzuY/3ImX5EyiEVcwos88ptq3JMyUXxRKxyyBblqlVVY2EWgCreTGET3WJlJlE0ec6jCSklLmV5dFLgeE+q27CzAYOWkD9vO1jZWdoNF8FtTVWwJEXOEAKyPPP5dXXGMDUgJpG3L62cX+XqIHVoD91A6YeGm+PaF4TvgCw4E3W0IQr3ayH1Jz7aV3d2dmKvLNlehwYeQkyMzmzna4TIQTQthpo7kFOnweZAVIT2aZGzv1Fihi9t14+uFCTXiuTSUB6DZe4X1HzQcSWQ7SvhYitzAYO9syLzFT2/2amoqmjQvMD7WuBiKu3hObPfhjbi3vBXRdT6mPNylbk9Lywmkz5giUKc91FqkRVmKc1D8w80KwTviBk55utKXUl1lKQUp1kynE3oSrcCDB+Cmi9fLq7W1dCCCC6HFL4gZFj1okwP0DIvw/IrhniHm6wb1ZGodhKmdIKGiSsYYBSe+jqTHn2GUghgGA7EFtZURpfmmlgpC9viq4EzCTUOieh7P75mj3nswuhA01dkKlxIDOeHapwNmfkPwGQdkbFztwI1/HKfwEdaLkMGC01xRMADMip8xDhjjKPI3LhVE2i2hFCqDH/YuPs9n1GAqXPbnr5yDwzWVnafC5FLgHCXXknRQm1sqTXFbqhbjnv2ypIFELVSthX53lZCwkAhgFhpspc0LgDEmR/VskhYPCQtWR2iWcbSVXjUnTmi5lb0+HqEOmpuTs7bJG/nXxOTYTPdXMdDwCAplqid16N3MxFCYnzlT2OaJ5j5oHmjAi1QxrpwnUwbJkpAFYxn0R22qA9RGHP0y+3uiRgnaQqXaVx9gkhIDveoK7qh55HzlWz/X5NA7lTDA0461A479/drdIaa5Wma2YBICSsbE/e2iDuaZkF23J2NPvYoeeArvUF70UmzgGjr6nhl3Jtn2UGSEypnUoOQ0IA8ANdVxdkNoS/GVJrBTCdQNAOnoQ6ns2LgXBHtplYTbpvEnmY7TW5ZwmDB5pTorlbtbKeGrSyDFBXiUYS6oPaSj+b+ScM10mvkvHAC2DZbyEE0LIYUgsAZ59RM030YG4hpZlWnTd9TWqMHkIFEfmZFWfYwj5hWh8+pgknACk4bvZwRwXNvKyCTpmecHo/SCMFnP1VdvEtd0FjKZrIfTmRAQafhoxdCRHO7ayJ9mVqGKRYm+rSO62KVFuWFg655HXwLKpkN08iD/N02ILBA8054QsWTKuU0mojLKWqrJ84qWoXtEDumLedji91gtIC6mR7oUgOAf6wukLOX1ZbCwBNzVZGwT7j+lSQkZnKFlmmJ4CM1ZVSWLUFehBOJseLM4SUNxOhGCHUzA9/s2quNHCosucV21a+0aNAeEPufVNnXYElAKPCD9Vgu2pbXqROQ2g+SF9z9ph5PwoIs301EcDggRqETI2p8WQJdSJJDqmThB0YCD9UFkIrPKGWCx6aFzbkwjJFJYfUVEcv7g6R+fURvrAa2nAyB64hBnvGieYrfbyEVTfhNUW0lLFXUBA4mCaglznuxYYLrJ+rHDwGRLvUe4sft/piuBs5VNLUQZQMHBytlwPnf1NYgGmLrlBNsYiqUYvZEg34+cXggeaUzCStNHSmsIJemlYKXMIZ5zYT6ipac43X29P1vP7AfE2qUdEskGZG7avwzSxYMQ2Vjs/fhmexoP09K4jyh9Q0z5yW1MHscITUK/8gKndelrDaU0P1q/B6gGkU329nWKUIIQBjFBhPWlM77ZN6fpFoCUIH2q+oaGaI0HyQHevU2ijJ4ey++ZqByFKIQKTk84k8aVqVw2tFttFgGDzQnJFmBhh+vsiVsKZOel7dKI0EAKmCiJwN2kWGdtpdWm2P46U7Ls6AlCYwMZBdb0IIQPNDhjuBcFfVQYScGHQFDnahlR0koYKsgQ/OFEjnWOiALwL4fEBqrPQ27EyAnXmwM0Fej9ND2bUuimUqjJSqzbBjhJxtyfIZDifBkJdNKdwhQASAyCIgOaJeJ9QJEWorvf38l9N8QOyyqp5DdDFi8EBzZ/yU+r/XycmeYaEHvaf6GUkr++BqFpTT68BlarDmwYM0MyqNPnYSOb0EfGH1VzVxGkhPQEaXVxxAyPHXgbFXra90j4JDVyfIUtv0h63j4Qo60qNAxqdO5GaZdt/ScB1PZP+fP0RkpFwdIUvUSWSSVvdPq4bDF7GWWq+AE1yUS4MIQGbUktpcVpsayTwdtmi8XAhdPJIj2X8X66SmlVgFstxJ0FbjDpPSNIDBw9bS39bVveZTNyOp3peUagpqJctuA5DJUSB+3FpZUssNihx5NQ4FG8kLnNzHU2hqWmQmbcVXJXpruJ/v9X3ncWZ23QnXmhSeTEP9vCKXQrStBvxdrimkHqSVlcjPLhFdaOxhi5neGkzj7RFdRIp0QLQ5V7TFnp7fibFY8V2Nf83HTwDpMfVvPWDNjPCr4EEPqFvaqtr3rAXIJU1DFepBQsBUV+nTJYvUfghhZTIMtdx5zmwNWLNarJS935qZYg9ZlGqRO/66+n/rqvL7FlnsdGcU7cuRLejM+7k5QYr7Q7PcDBBZuAonVURKEzJxHnL8FOTE6bJtyIkADltQHclkXE2xzCTUiSfQCjRfotpTG0nAq1UwkJsyL7VEssg/+RR5bKjG7YTt4RbdmjYKqODBFwagqStsYwow0ijX0EhmptQy2+or9b9qgx33+y9bz2CqE3IgAqQTKhsRiKlUv79ZDfFIWAWWGQCieHYAAFIjkEZSrYC54I3AuV/D8yTfejlEU1fufV2/CwwesuoZtOzPXZoAdFX8aRM+QNrFs/nvz7rPvf4FVUQmR4D4b62fgRWgTbwOGWi1ZpfUrz+KNNOqVigzCZjW762vGQgtgNAbvy9LxebpsAWDB6oLOfyiWoYZyJ58pgaBqUFIoamrxJJD2NaJxCgxNKHZ0xld3RgLtqMD4c4q9744KU2rBkOobQsNCLZB+JqsIQdbq6rYN4ufeKVpWCfbIlMDi++E+n/B7JQKGjK5CaFOypkJVVsyfCy3N4T7tUoZfx2IrVCzERa9FXJyEJh43TXVVgPGjkMmh4CWFWpxNEBNe+y5BnK8H5g4BXUc/IDf42NJ063lw70aWAmgZRlEoLny936RkGbG6uBqAv4WZ7EyAJDpcWD0Jfejs/9MjQDxl4HW1ZW9jr0OjUBFs41kchgYO6Fe0/07lhoFxl6F1PyumVaAqgHyqWHMlsXqvTRgKt8Tgweiysj4a9nAAcjLJABO34H8BY7y2Ws0eH7Ppz5ctCDQthYYfdH6sHGltzU/EFulVmasGWsoxRdW/wy2AXrY2t3se5ESqjFR4hxk/wG1L3oQaL4ECLaqx06d9a7bcF+Je+6CULMYTOtKDWnrxOoq3LQ/WEtOkXT9TEZfLmyQZE/vdGdCvGZHTA3kFob6wtmfm+YKQpIjQOoIZGQZIFNWTUMYMKcgmjqth0nrStTjuGh+ACHV8jo9qd6bP6KmUfqC3sfqIiWlqZYynzzj+tuTkKEFQPtaCD2oinpLScUh0+MQJYaDpJTA5IBattz+mekhyOaFEEUyfjI9adULWfL7leiB3CJpPWitpGo9bvwkYGZUgNG2uqJpuHNqnk7VrGqPHnzwQaxbtw7RaBTRaBS9vb344Q9/6Hw/kUhg+/bt6OjoQCQSwdatWzEwMFDx9v/iL/4CQgh8/vOfr2a3qIFIaQJT/YXfyI++K7midbod5m/LCjqkAQRaIPxNQMc6ILoCCC9QmYboCqBjXXYqYY0IIVSa32pcJXxNnldZzn2BqLU2hVRTTMd+C5z/tboiLLbIUn7PCzeno6YOBJpVQWFmynVFbmVhzExhQaIQ2RVI7SWxTUMFIunxvNfJW1fDvmk+FLT6lnZGwDJ8rDALYv/8pQmMv6qyMqlR9buSHlOtre3j5muyumHm8beok0XbGoiuN0N0vgmidVVDBQ7STEMmR1QNQWpM/T3M+j6YQP/BvMABKghMnAf6D0EaiWyxaymJ4gW/UkoVdE6cyg32jIQq/rXrYfJNDRZ/PafA1/od84VyAwf7MZpP/c6d/ZXVX4VmW1XBw+LFi3Hffffh8OHDePrpp7Fx40bcfPPNOHr0KADgrrvuwmOPPYY9e/Zg3759OH36NLZs2VLRth999FEcOHAAixYtqv5dUOMo8WEDwFWnUCZVb18d+8PWss3WEtTu1REBp55BCA0i1AHRcqm6hVyLHtWQNNNQQyQa4AvnDVXkEkKoKzy7SZL93s2MWvyqWFZFWid010qYOf8WmgocTAkkSnwQSzM3w6+Hrau6VHb2g7QbWxUpsrT/nx/85Rxb4XzYy6khVNQC28w7qRpTzklACAHhC6sgzd+ssivNiyBiKyCKdd6cY1JKNVwTf1VllBJDwGS/Oommxss+v6ZGX1I1N4D3z85MAmOnKtiQ8M402RLnSwcgk2dUliFfJUGL0NTvVH7g4HxfwFlwauTF8tubSwKFhcdV3+b6TRSqKt9z00035Xx977334sEHH8SBAwewePFiPPzww9i9ezc2btwIANi1axfWrl2LAwcOYMOGDV6bBAC8/vrruPPOO7F371784R/+4TTeBjWM9ET5xziFcYYKBvI5J0wj94SZz9dcfopgrTnvr4pxzPxhGyFU8V/KWk3Si8wAhmGl6u2gw+q/EIipD/ViwUfOdqyVN/3Nalt2wFBq8Ss7Y1EyAACcFTvDndlMi3u4qhg7a5R/7WIks5kRWFkIYQULs/1zrtbUoGpGlk+a6iQ65VeLGwVaIerUsAywMn+lhiPs38Xx00AwUiaIl94ZINvU2fI7lDgL+JeVf1zBPkL9vpZdt8avMlem2bA1EEIIiBkubNWI7fWnPVhkGAb27NmDiYkJ9Pb24vDhw0in09i0aZPzmDVr1mDp0qXYv39/0eDBNE184AMfwN/8zd/gyiuvrOi1k8kkksnsmFg87vFHS3Ojml9yO3VecDUpsx9qvmbVJVJtPPt9fwRoWzt3f1Su0opSpDN7oOAb2SZQRTckcwME4VeBAwQghbVEd9k9UE2ZdOuDWMJVeJi3P0ButqEsDYAJRBa77pvBz0NmXE2nXAIxV3Fs7cn0uDoRpq06nFCrqvgvMZYujbRaFCwdzwZSRR8sgcyYGkYAIANRYME6iHos1pYaQ2W/mCk1vDfpMcToFl5Q/HtGBVM60x6P8YVL916x/yZKtWMHrO/Zq8UmAS1cfn+oZqoOHp599ln09vYikUggEong0UcfxRVXXIEjR44gEAigtbU15/Hd3d3o7y/+C/qP//iP8Pl8+Mu//MuK92HHjh347Gc/W+2u02wItjofkp4K5vQbQNOlKp2emVRX9tJQJ7vQAjXOLU11BZOeUB8ooXbAH52bwMEfgRM5GEnAH/E+4cEKHIwSUzUrDEAAqNoJPZS9ctR9lT9fmurY2bUU7qGQ/LHkaggA/jY1xGALd6qr8FLbsgOnohu1/+kDgjFIPayulJMj6tu+ZrXYmV6igVj+62Um1XGwC1eFUD+fidcLT6Dj48BEP2Tb6tz3Zm8uNaamNzpTa325a60UvCWhxu7tAtTUmKo7WNhb+XuoVLnhQGefdKBpoTqmxX5HI0vLFBtbwWMpXtmAUCcw/lrh/UD2d9PMWHUNJQIId+CdX4fTSOzhlZluo8FUHTysXr0aR44cwejoKL7zne/gjjvuwL59+6b14ocPH8YXvvAFPPPMM1WdCO655x7cfffdztfxeBxLliwp8QyaNf4WVfBW7MoiP4Wv+YGwVZ9QLJ0rdKCpp/b7Og1C86mK9cRZlf5Pj3sGEE7GodgSz87QDazUfLEpqZoKyNzZGSc74ANQrlhMqMXECl4b6oPdHgpRO539XrE6iPxttOT2VhCBFki7pXixmR6iSPW5HoRoWZINcoRPnaiHjqi+FPYxMFPA6MuQoXaIUr8X7i6f7uyP5gfCXarQtNiVt8wAIy9CdrzBqZ2R9oyR0Ves9UdKzGjxIrTscJGZVLMGar2ORiUFwkKooSbNB9m2VhU8Tp2DcyLWw6rGJNReejuh9tLFj4CajVRwX6vK2CSHcwNYd+AAAEYG8JfJOBlpAHrtg7Ba0oS6zXQbDabq4CEQCGDlypUAgPXr1+PQoUP4whe+gNtvvx2pVAojIyM52YeBgQH09Hj/gT/11FMYHBzE0qXZDyDDMPCxj30Mn//85/Hqq696Pi8YDCIYbJwKa3LJTKmrZGlmq/DdPQjyA4e2tXUpbKwVaZqqKHHqnHU1pAPhbnW1lh5TwYHTtVF90DnTDTOT3ll8+4rJlGqtCXU5bQ3jWAWM0AAtpAoj80+09rLbXvUi+TRfmWJIq26hIICQKMhM5Ow/AD3svdJk+5VW/wozd3t28ZdXy3FpAqYBOXhY/dsXVinziTNAMOqx/z4gGYfUQhChVu/3nhrxntFiplVdgJFXMyKl+p49HCQSwMQZyOZFqjFY/LfWFEIr0A14dOosxp7Z4jZxuubBg9CDkKFOFdwW2w8hgJj6DBeaD2i5FDKyRB0PoQFaoLKLuaZuK+gokn3QAirAyN9HISAjS9WFxvipbLZEWrOEnDVcMlYg6TGl2/kbSgERXjjOhRlPkDVNE8lkEuvXr4ff78cTTzyBrVu3AgD6+vpw4sQJ9Pb2ej73Ax/4QE6NBABs3rwZH/jAB/ChD31oprtGs0ilgE8DSevDWtgV+HYHRmvWgf0BFWq3xpUbN90ojZRa9dOwZ1hY/4v/Vp2Umy5RV1BmCkhPqo88M2UFSxnr5J6XdrVPNEYa8FnFkPb3dT8AV4FkPtOE6rJo0TUAIdXB04uwplmWKzrz+pZ9Usx/rruAtbXEia/5EislPpkdZvFHVcDlFQwZSeR048xMqkXHvK5cgWxAMjWoahQANVtjyhXoBVqKngQlZO77lobHcdTVVfnkGfV7a6TV+25amDsLoJJgKzOFgpNsqQZoM9F2OTAYL1xQzt6/jjfkNIsCACF0q0Nq5YQehGxdpTIxdjdSJ3sRAlpXqe16PVcI6zOgHTKTVIvMZabU80LdQGpI/W3Z9+UHwfbPK9QJEbmkqv2edfmzXaa7jQZTVfBwzz334MYbb8TSpUsxNjaG3bt348knn8TevXsRi8Wwbds23H333Whvb0c0GsWdd96J3t7enGLJNWvWYMeOHbj11lvR0dGBjo7cRiJ+vx89PT1YvbqyzmbUIBLns4GDF02HsK52LhjDL+R+ANszRMyMuj/9stXxbok6oUxZS3OnxtVJ0pSqot2ermk/3zCsD8P8jIvH+K6RAExrypr0GKLQA3BaYjvz3YXVjc96Ttnhh7zvCx1oX6tObiN92cyE3XdDaEBsBSBNyKEXrKl3aiYBNK1wMTChAy1LIUIdruJEa20Q4S8cVsl5byVY70uaabVvw8dczalKP1cAaul0ezpifuDgC7uOm1XUq8dUEOw1fTA/c2Ozr5ANj2G8vBN4rQg9CNn1FrUGy/jp7Ik93Am0XlbTQk0RaIFcsE4NQaTH1esEYkCg8pok4QsC7Wvy7s1mq2UmpbpRZsat4SerhqRjZc37uNTFPG0SVVXwMDg4iA9+8IM4c+YMYrEY1q1bh7179+Kd73wnAGDnzp3QNA1bt25FMpnE5s2b8cADD+Rso6+vD6Ojo7V7BzTnpJTF06S2zCRkelI1dLoAyNRobuMbp1V23tWjmVJXXhP96gQjhEpn+5vUydy0Pri1iFqrIXmuyFV9qQ8Ya1pmsQ9j3adudq2CM0OjguY5dkBgBzihDiDcraa9+QDZ8UaVAchMWt9vA5o6gclBIH4UOVebyfPwrJCXhqpRED41TdGqEQFkmV4BFX5gmoZayjxnZkoVdQj5U15zAoc8dtFq0e3lBQ5m0qp7kdmCSVsd0+1CDwCxlZDRy2D3JalXgbGwf29qvYaMvX1fAGi7wC48LgJVBQ8PP/xwye+HQiHcf//9uP/++4s+plRTHQBF6xyogZnJ3Cv0YjUM6bHsio2NbmIg94NemihZWZ6ZAISrqE8I62rV+rp5gWpXbUxl6yTc3HUBXuwrLjt7AaiTkXvYxzmPu6dh2EWZJU4coXaIvLF3mZkEhl+yxsD9Vm2GVFkFM+2qlnf9PZebWjd+0imKVScyAZmeyNtftwq7M5ppjw6ZFU5jsWotskq0TC/3/uzXNaasdT3yemk4xahQdUGR+jfEU8e5cYcGLwoctiAqJKfOq5OCXZ0vrSmMut8jiKh0XuLckhOnVbGdWyUtcO337WVyQN1gqpS6mTf/vdyHgxAq85F/lSw060rZvZCVx8nYKzCR1rh/3hWwTE+oIQB/xNquvU2r2NFIqop89zz/SqbKZSacFThdTyzcV5uRstbuKEJKFdjkj+0DVtao9Bi+1ENASM8uKw6oDE7RJ5TcnOtxpvcQk7QKYSOL1CqjjTy9kGqHwQNVzV6B0UjAmaKmB8unPi8QcqI/29PBXTym+dTVnCZzTyr1aIpTIWkk1Vh7Kg41LtuipqvlddCTydHsktu536nkRUp8L4OcqX0SrulXM/hdkKZqbuRvzn5IuXdVWGP6yJsVYD82dlnhNLfhPnV84LF/dn+EQAyYmLTqPavYfzOT27WwZF8Qa9aK17i2/V6ae4r/vIxEiSJAARFaoKaVmplsV8aS78XKUpTKQAjh3flT+IAFbwSC0Rov1EYNjzUPVBVpZpfCde4z1IehkVRXPakRdYUkfGqlxSqrneeSNE1g8jTg1abZ7vxmZACfPdvCr6Zmzcq+2bMd/BCaBpkYzm3qA6ihg8kByNhlEO7Wx2Mn4LynnGCgxBWyo8wfuPvk7Qu6lvau4E0B8OxUqb6hshJOEJDXXtpVYyHt95VJqSJBIw10v8XppigT59V2JKBaZxfunLADiFAbkByBhFb5VXR+oBKIWh0H8zsRWq9rpoC0VSDnzmTZTY6Gjlr1IB5FjEZS7acvlDsd2O7z4Aupn2p0uer3YA9h6CV+jmaieDbErnHwCiJjK8v3TSC6gDB4qJf0eNEPe2lmgPS53NR48jykPwpEFjd03wNH/NXitQ1ANgNhd/VrubTuHSFlctQ6CWQ7KUotUKIgTwKjr0B2XJXNQBhT8Dyba3r5oYuSswPyAyzNGr5IqRN1fnvonN10zXsvxkyrIRN/i1W8KpCfaZDSAJK5v5ciPQZ58gnIzjdDa+pUV+BOZqD4z0vY/RqaurOBhz3en5mCZ6AVbCu46hZCQLatAYZecHU6dGWxAHVCTiVVxi5yiTp568Fs4KAeBM9uhGYKSKUgQwvUEtGuDpPOPmg+yPargPPPZY9jMWZadevMz6IJoYLB/Jkjvib1u9/oa3NQ/XDYgipmr1hYhBBCZR7sBj22dFw1xWn0ecuA6uuve1ztuQmrij/qkRqvMZk4Z9UUIHcIxUypq9ZivRAg1cyBFnvc3/2H7so2CB2lZy+I6tdf0HTVjz+TUFerQi8y1Q8VLIIl1Ykq2Kp6HThdGq3VLo0kRCYBpzYl39lnIJder/al1GJI7v3SdLgDDPV7HVZBRWoUucWCPiCytGAzANTUwgXr1EqUY68VH/4xEsDUWYi2DpVdSsWz70fanTJdhaf2/wMx1QmzRLArQm2Q3b+j6h8S50unif3Nar0QI6GCJdNUfwvR5RCBCGRmStVraH7AF6570EwNjh0mqWKlrhAtQghIr2Kv1DCkmb2aa0Sq9XIGqqFROfVvHauGUKw2uV5DKBLZpai9pEYBWMFDTsdF91i/vY00vIcv7GMS8MgilPvDF2oWipH2zlYZ6fK/U74mIHqZWo45PWFdYYfsPVMnaD0IYaSyrcOtnvsCAKQJef6oynqZViBTZNgi+95EwYlRCAEJPXfxo0Ar0LKsoDFR7vM0SH9T6boRAEjFITOJ7AJQOYFWBpAiG4TZLcJjKys6gQtfGGhdCWClKgSeOJUbtPkiQHSF6ktQbjsX0BAk0XQ07hnqYuCPAnK08KoyPVa8s15D8Gi1W/AQ64M7UJ9GODkSg9Y5rtSJrtSYvCsYCHWorErhRtRJSbeCC2e6JLLHIj1hZZysIkUpAX9YXXWXzNDoqj4kMZStgdF86jXsr/USCy8BamXL+CuqeFDzqde1rrxzQhg9oP6V9zsnha6GO8Jdqh7E7y6YzD9cpTtWOpk1u45BStXnIRVXx8XfpGZ4hBbkntTTJVZadMtMlhhCktlAy37/07jyF+EOIGxlOMy0atncgEVrdAHgwlhUsUrT10JXc/+TQ7kf5pXOUZ8jQmiqva+Z9u62px6kToihWQiCMlNlT2gqha95X9kHXGsnRJaqtspmOpu1yJ+rL3Q1vu5et8POVmTyFoRKjanX9UfUST2fvd92/wRAnfwM18lRZgBTFK+pCLSqK91zv1Zf68Hix8PuP2GmCxIrTrMvoauhB3v4wh2YuX43S52U1e+INexj15wYSfV1MgUkR9XJuf2qbI1PpR+QQsv+zMr+3Gf2ESe0vF4aRNWap8MWjRfOzAd2MVy5h9kfeu6TF+CkmxtacIGrgyJcaWLrlkmqE+rIMciJ18s2B5uRSk86xfYh3OnalAZ0XJWdGWIHHRDqROQsnpRSwyAZq0GWmbbWP0hm37vzuqYany+WrTHSxYdUbGYaCLTl1nMIoYKS2GWueg9NnezKXW17BDJ24yb4W1T9TSquXlfaQ1WmKl40Uyg3FON0kLT3FcirpZBqDYqx17J3BaJltwtogL8FItBcOqNj/6wjy8psj4img5mHevFH1IdvmbFqIQQg/Fb9QwqABPQQpDSz1ed63lSzRtC2Cug/oE5CmVT26tS+Arev2qWpUummUbB8c82EOoovfQ3AWV/Aq1ahZVlBr3+h+YD2NdasGGu7viZ1BT11Tt1nLzntD6gTtr3ehb0qoJFS6Xk7M2P/PLW8aX5ClCyuzZE4p5oYuU+YmQlg6FmoFT1d6VF7hUI7iBG6td6F9XzhswKgZN5xkWrYrPsaNXNl6hyQGbcyE/bvq6/ktGIppUczqyJDR+OnISNLITRdzXoId6k1Qopp6s4upta+Fjj/bG5xJJANHPwtEM3dxbdFNBs424KqIoS6kspMeHfAK2B96BsptaBNZtI6AairPNnUDTT1NEwQIXQ/ZPfvAmd/pQIk98wLe/VB9xjx5BnIpu6Cpkw12Rd/RI3Z2zMMCh4gAL1JdUVMWQsyBaJAUxeE32NJaftpmg8IxlT1/OChbAGg3W0R0uqgLKw6g2ard0JKtWHWfa7iSSsbYGZyr/qlrKIBTJHMiZkGkAb89nTTjHcnSjsbJoT1FkIqy5WZyA1gpAmhByB9YbhX8XQOrcyoFUc1f8HQhZNhKujbYG9AQ07baZlWr29n31qWqH3JX1wLUEFiZHF2c4EoZMfVagEzmXJlloT6W4mtKNwG0WwTYuZNnhg8XGTsufCVBA++sBprD8YAfxNEQKXNpZSqZ8REv1r2OXZZw0z9Ej5rit34KWttAatdsBawTkZ5J7vEeaC5Tv38o5cBoy/DaZDk5m+GaLk05y4p1Vi8HHpe7bvQgfACoGlhzuwQaRrA4GFXDwL75Jd3tW6mVHbFH1ZTQ+2r44KflV1s6eo2WcEQl3rpCsbe7WGV3CdmGxu598e+Yvc1W9MerZN6oEUdn/GTXi8AiEB2aXXhcwIG9Xtp/b4WnTUhS34phAYZuwzI9FhLa1t1NeFOzxUURSACdL8F0khbmZ1A2dkQRDRzDB7qTfNDSln+hK+HgJZlgMhd/U4IAem3lnW211xokJkYMjWmVjMEchvrSAnounXCdZ0dKq2mnwah+SBbV6vjkzgPpzlVuLtgJU8ppZqZYLckto1NAOOnIDvWOcEbJvs9AodirOW6/WWm6TkzNazOj7pfDTvIEsMX+RXbwmct6WztUyZhTVX02D/dlXEo2K4VQOjB7FoVzYutJcWL7I9MAfABRgLS1K2sCtTSycUCZbtmIj9a0PSChkvCruUokRUqeBvuRciIGgmHLWhahFAf8mWyD8LV0Mfre1Lzq9Tu1NmGCB7UlanXmgKw0vPWKpDOokoAEuchz08BbVdkx61rSAihjk254zM1WBg42KQBDD0H2X2NGiKaGnS/QiU7UX4GQP7jAZVxSg55n/xh/Q7Z/FEIXyinCFX4mqz+B6OuGg9LsRkx7n3Q/Cp4aFqoCkiTw6X3254R0tRjrdWiq9f2+j0v1egq3Ng9TYhmjMEDTZfwR5z54qUyEGUzFIEWYPJsHfZwGtJjxYtBnYK5vCZDQqjsw/nngM6rZ2MvvXkFPXrQmmJrFTCOvKSK93L6CVQyY6TKWSV2oKH5VN8Pw6qZgBV86cHcGglfxJm1UPC7ogfVNjKT1vROa98r+eARGtC2Fgh3WX0aKkz9B1shAjH1VkIdKiPiVfBoJAqHMvwRqykT0TzGPg80EyIYg0yMACjeXKn0vHkBCV/d55xL08iu7+BrKr5PpTIp0ppx4EUIwExCJoch5iCDIs1M3swMDQhEoIIGM1t4lxpRt5y21hUEBqYB+Cq9SpDZDwW7/4KmqVka7u05PSdEyXbHQghIX0j9/IQ/e8UvDfX+Sk1rDMQgmlwzE3xNRRasctECKlhxvT6iyyCbF6rMhTQALaiCmfETgGH97mt+oPkSIHppwxQAE1F1GDzMIqHpkEZm+gWP0lAV53UgTUN9wE8NZFPnmh+y+RJVRFjQ9rnUyoMVdJ8cP12T4RenVbbQ1Lk9cdYq3swOYeR2MZxCdkqj1cPBNK3/WwGR+/Gar/KplIDVF8HKGnj9nKW9famyMHpAnYSd5lOuugB38aNpAoFI2d+dbNvzlMoCwFSzX3wl/tTtqaT522lZrmYyFAuaoss990foasGsrA6gZYlamAuCAQNdXOzJWTPdRoNh8DCb9CBE2QWOvKnZAWOuBZxqR0oDGD5qnXRdzIxq4pOeAlovy/1eIFq8bqDkFbo1TbCaE7LXK5iGWmbbHpuXJnKLGYUKhPQQZNsV6r3Ej2dnVgDWSdxqfJS/kqNN82VXv6wk8yDypmHm9x4A1PG0h3zMlLrK10PZ2gNp5g47eCxCVX4/rABFwnqPqcLOk/a/jaSaxpq/iUALZNtaFVS6fzd8zUDLUoj85mZld4mdGukiNE9rHngJMJs0v5raVuXT1NW1kbuEdy1NDuaeHDS/6ovgs27peEGXSKH5VWvtgp31WFQKsP6A1CqD6mTpV0MIRUgjBTlxGvL8UciBQ5CDz0DGX4U0kipwOHdErQUBWCfm/EJDV7+BwaeBoefUcIX9h+z8MVZwWaBbrZrLXjFrrgWRXNkDZ5fsaYx57zszqYolU3H1/cykOqHbra9hWnUPZTI6zuvYj3O9LzOdrYVwOoFmrHUi0kUXchKBFoj2K4GOq1VNRMc6iI6rqg4ciGh27NixA295y1vQ0tKCrq4u3HLLLejr68t5TCKRwPbt29HR0YFIJIKtW7diYKBEczYPDB5mk9U4SmgB1e9QyqJtm3O+ZyaBidet6Yd1SBZN9mf/rYXUST4n0hVqzv3kmdznNS9S6yo4O21YJyegcD6/VFMR3bUS8d8WBBDSSEOOvKSCg/FT6oQvTfW88VOq58LwC3kNofIyDrCGJOyTpC+IGeX9hFABhC8CdKyD083Rfj3NDopCUNM17ZO+NT3RSKv70hPFXwOw2l7n98ew6iKsoQVppkv/zuSvzJn/byOpjqndvMz+fnNP6UPgC0EEoiU7SxKRB/cFy0xuFdq3bx+2b9+OAwcO4PHHH0c6ncb111+PiYns589dd92Fxx57DHv27MG+fftw+vRpbNmypaq3xWGL2SYEEGiByCSBzHiJh6lfFjk5oGY2AECoo+apXylNqyhOWq2LtbxUu30SBDA5ABlodfomCCHUWLbRBcRfAzJjhdMEC17Q6oVgL840OQBELlHfMjPA8POFxZhOZ0Lr+Wkrg+AsSAUUtj626hl0+yRfbb4nf7+toYNwJ9B83jVc4jUt07SGHqwgJpNUgZOoZOgh//syd9fTk1YTp9wCW2ctCbsYNKevgoaS7z/crTJJRFR7szxs8aMf/Sjn60ceeQRdXV04fPgw3va2t2F0dBQPP/wwdu/ejY0bNwIAdu3ahbVr1+LAgQPYsGFDRa/DzMOcqfBkZo9FC10176lky9KAnByEjB9Xqf/JAcjEedUHwHXVKpMjKqVv74v7BCJNqDS5fQKy0uejL6rWxC5CD6pAyDlhldtBV7YhNWoV0kEFEsVmcQiRHfd3+kjIbGAh4B2t12pBLiGAYLs6YbeuBkKd6oRdrn+CsGdPFBYlej/H60/SOq72EEYqDhhJJwMhpVTHLTmafQ27XbdEieWrAYR7IDhdkuiCEI/Hc27JZPnuxaOjowCA9nY1zHz48GGk02ls2rTJecyaNWuwdOlS7N+/v+J9YfAwVyqMJIW9JkH7lRDuRkFFSCMNDL2grtD9Lapdr6bWWBCZCchUHJBSdYccej6vcFFznXCLnOikoQIIdxBiFOlsWHQnTdfjpUrrA3kNmbyeJ12zI6z77HUaqr6iL9h49jW8XhdwFvYSQgNC7eVnzbj7GgSiwII3qqZKRXdRy/29cNeO5AzTSDUdMzUCmRxWWRA7eyQ0NdOh82qg63dULwW7k6UEAJ8qzgwvBLp7IfILYYmoxkSNbsCSJUsQi8Wc244dO0q+smma+OhHP4q3vvWtuOqqqwAA/f39CAQCaG1tzXlsd3c3+vv7PbbijcMWc6WSttV21b0eLDvWLKVUbZnjv1VdAvMWLXL+bRfOjZ9E8exHmcI8I5nbJts0Kr/Kt9Pr6TF1dSz8QHoC0lkPowT7ZGpmcrMklSi7f3k/B2dBKyt70HZFTidEmRjJJj4qeW1fM0S4AzLUrupExk9lh638Lepn4pV1EFp2qAdCDffYGQ/7/3pQFTMKDRB69met+YGuN1Wwg0RUNxXUZFe0DQAnT55ENJotVg4GSzdz2759O5577jn8/Oc/n+EOFGLwMFeENQ7tzPv34KTwSyeIpJQq25AZB4SvYC2HnJcVAtJIqBR3PjNdeUFmcjQbPBhT2fdR8SiBbo2GpNU6E3oQgIaCLoTuY2NfPdtX0hV1ThSu/2uFGRJnO9KaJmllXfSwOhbhBUCoEyJ/VbyqxzCl9TShihObe1S9CYT6mcSPe099tZtDwer5YK/Kaf/+aCGg/Q2F+0dE8040Gs0JHkr5yEc+gu9///v42c9+hsWLs0PePT09SKVSGBkZyck+DAwMoKendOG0Gz9x5pI/lq0fcKbPWbdMwhrXNoHQgtLbGTuRLar0NxWtxrcJIHetBFtVvRdcJ+HJ/ryTdBHuJZPzq4jthZ2c+grXbAV3FsD5XoXs42k/37OmwARgLZntbwbar4bovBqi40qIpm7PE7MItVUXP3gs8iTci6C1XArEVub2W9ACarG02Apk+0fI7KyMpoXAgqsZOBA1slmebSGlxEc+8hE8+uij+MlPfoLly5fnfH/9+vXw+/144oknnPv6+vpw4sQJ9Pb2Vvw6zDzMBqlWPZR2f39pqpR9sA0w05DJhCo6tFPRztoGUCeJsEc/BXvTUqpCw2p5/jJKtQaBa0nqotzDKGYS2RUn7RN8wY4Wf91yMzQgsxkCIQDD9OiYKOGZG5QyWxNh74NmdXI0DPW9UCcQW1m+hsEt0OrMSC36NKFDQqiXD3eV3JwQAmjqttbTsKZraoHsrJvmS9QsE5lRLZ99oer2l4jmxizPtti+fTt2796N//N//g9aWlqcOoZYLIZwOIxYLIZt27bh7rvvRnt7O6LRKO6880709vZWPNMCYPBQf2baKVIU1pWvtFPVY69ZwULCSmEXPhfRlSjZzjc5klswmJkqe1KRgBpn9+o7YPcl0HylzoqAvwVy7ITKGNipdOku+HNd8buDg1LDNJUQQp1ApT/7dc47yxvmANT7cYIPDc7sDEgguKD6wAHWyX7BmyHPHs6ZNpndAw1SCvVyLZdWVOzqbNcjeBNCWGtwENEFZZaDhwcffBAA8Pa3vz3n/l27duFP/uRPAAA7d+6EpmnYunUrkskkNm/ejAceeKCqXaoq3/nggw9i3bp1zrhLb28vfvjDHzrfn07Xqs985jNYs2YNmpub0dbWhk2bNuHgwYNVvYmGJa1pdXmFkfa/RTCm2gZnJlUQkJmymvhMWQsLmapArpT8xk1mGjI9WbKRkNCDQGSJSot7PshwVm705I8CZ4+o4ZKpQbW/zhRBTdUOaHZXRh3ZKZ/FVDmdUg9m60FyOji6N2kNeThrQ2RU98ZUXBV7JuNA8yUQ7aunfQUvfCGI7g2A3gRpGtmpk9AhNR9EuANoWwsRLjPsRERUI3aDwfybHTgAQCgUwv3334+hoSFMTEzgf//v/11VvQNQZeZh8eLFuO+++7Bq1SpIKfH1r38dN998M371q1/hyiuvxF133YUf/OAH2LNnD2KxGD7ykY9gy5Yt+MUvflF0m5dffjn+5//8n1ixYgWmpqawc+dOXH/99Xj55ZfR2dlZ1ZtpOEbSutD2PjlJKdUy20ZCneSMvBUMMxPqhBdoKf4a6UlrtoPrqn9qEGhepBZIsl7fmdmh+VTlvxCQC64G4q8CiXNwzrx6SK2fEepU25k6m10wyh9VtRLx1wr3w0x7Bxw5Ta2KDC1US7N6GKSnAF8AToMoaQJGBgh2qeZQdhDU1K2+N9ynpnk2d0NEl818PwAITYfgjAYiKqqG0y0aiJDlquvKaG9vxz//8z/jtttuQ2dnJ3bv3o3bbrsNAHDs2DGsXbsW+/fvr3gsJR6PIxaL4cc//jGuu+66qp4zOjpacSXqrEjFIY1UyStbKaVqPV2sOVLTQogii2FJ0wDOPqNqJAoyFEIFHf6W7Ak82JqtrcjZTloNPwjdc8lne1YAAPV6xZZp1oOFUyiFsJa1tmdR6IUpuEp7RLif134lkEoDw0fgLDkdiAFd61kLQEQlzcY5w36N4b33Itpc2bBl0W1NJNC2+e8b6hw37ZoHwzCwZ88eTExMoLe3t2zXqkqCh1QqhS9/+cuIxWK4+uqriz4umUzmdNaKx+PTfRsNTnieWGV6Ahh7FUiNOg9TAUTA1QPAVNMpkyMqM7Gwt2jthND8QKD48Ij9PJlJFA8cABUAGUm16qI9zueLArHL1cJP4yfhzGzImWpZpMiymJZlEP4I4AfQ/I7Kn0dERDVRdfDw7LPPore3F4lEApFIBI8++iiuuOIKHDlyZNpdq77//e/jve99LyYnJ7Fw4UI8/vjjWLCg+Djxjh078NnPfrbaXZ99mt+aOeHNaStcNPkjrdbGrnumzgKjL+U+zD3dUdNV4aI9zVFoavlkoVmrc6r7pnV1nt+DwZNQ3RfzhwX8l0A2dQNT51XNQXo8b3tWwFOwX9ZQh+ZXmYXmHhU4EBFdCGa5YHK2VB08rF69GkeOHMHo6Ci+853v4I477sC+fftmtBPveMc7cOTIEZw7dw5f+cpX8J73vAcHDx5EV5f39LZ77rkHd999t/N1PB7HkiXeqf05pQeBzGTRTpJCCNUmuthJWehAKDtNU6YnCwOH7MYA3ee6ohfWdNAYEO6CHHrBWszJKurztwDRFRDVVPDrIWSnZBZTGPA4u6j5gOZuoLlbBTLpcRUw+EIAdGD4WOFiYb5moG21Gm4hIrrQMHhQAoEAVq5UC+msX78ehw4dwhe+8AXcfvvt0+5a1dzcjJUrV2LlypXYsGEDVq1ahYcffhj33HOP5+ODwWDZtpzTMeMr83xCg/C3QKbHcgII+98yFVfFiJ7BgwBilyFnFc34qxW8phU4aD7V8CjYruoU8k/46THg/K8h266ACLVV+HZ0lT3In+GR8yAfEOqoYDdFYSHogqsgjaQzQwWBCISveLdMIiKaGzNuTWeaJpLJZM26Vrm3OVukkVI9F87+Cjj3K+DsM5Bjr6kT2UzpAYhAq2oYZBpq2enMFOTUOTWdse2KvGmTQp3w26+ECLa69jEDpONQBYc+q+NgsR+fVL0QUqPA2PHSUevwMUizikWtostyG0TlECpLUKovRRlCD0KEOyGauhg4ENE8IGp0ayxVZR7uuece3HjjjVi6dCnGxsawe/duPPnkk9i7d2/FXavWrFmDHTt24NZbb8XExATuvfdevPvd78bChQtx7tw53H///Xj99dfxR3/0RzV/s15kJqHS5e5loiHVFMXEEGTb2oob/BSl6c7VvTStFSg1X/Yk27wQaF7o9AkonO0g1YJXBQ2QStRK5P+yCb1IhsO0pnZWNsdXaD41xXP8FDDRnz1uoQ4gsqS6YRAiovmOwxbA4OAgPvjBD+LMmTOIxWJYt24d9u7di3e+850AKuta1dfX56wvrus6jh07hq9//es4d+4cOjo68Ja3vAVPPfUUrrzyyhq9xTLGXs0LHFykAcSPA+1ra/ZyosTCU0WHShJWkWHO902UDB7sYkm1YSvYKDKrITVScfAAWO8heilkyzJ1jIQ2o2wDERFdWGbc56ERTHfOrsxMAUNHyz+w/cqyS2LXkzx/VDWMcu6QKLtsNgDVhlm4ngPv7ENoAUTb6pnuJhHRBWFW+zw88Y+INs/s/BGfmELbdX/bUH0eLu7LxVI9C3IeN1nf/Sj7+vn7OY14r1TaK3yBd/IkImpk86vcAcDFvjBWpan2uU7JCzGteCFHsRoJ4VerexIRUe3N05qHizvz4G9B+UMg1JoOc6kWJ3en7sFNBxa8ge2ciYioKhd15qGivgVN3RCaXvz7s6G5RxVNOpmDCk/27qDA1wxkkqo4VGhqqKJ5MYR+Uf8KEBHV2fxcGItnjuZFakXIxLnC74U6gOZLZn+f8ghfE2TrKmDkZQBWC2dZrtOjlVHRAmoqaLibGQYiotk2T4ctLvrgQQihph02dasAwkirFSpDHQ3VpEgEWyE736j2MT0BZ72H5Pncgk49rIY5AjHVJloLMGggIqKauuiDB5vwhVWnxwYmNB/QlNePoWWJ6oRpplWgoAe8n0xERLOPmQdqVEIPqkW4iIiosczPkof5ETzYfa7i8fgc7wkRETU6+1wxD3okzpl5ETyMjY0BQGMuy01ERA1pbGwMsVisvi/CYYvGtWjRIpw8eRItLS0XXHFgPB7HkiVLcPLkyYZpOzpXeCyyeCwUHocsHgulFsdBSomxsTEsWrSoxnvnZX6OW8yL4EHTNCxevHiud2NGotHoRf2B4MZjkcVjofA4ZPFYKDM9DnXPONjmaebh4u4wSURERFWbF5kHIiKihjRPMw8MHuZYMBjEpz/9aQSDnGrJY5HFY6HwOGTxWCgX3HGYp8GDkJyrQkREVFPxeByxWAzDv/giopHwzLY1PoW2t/4lRkdHG6behTUPREREVBUOWxAREdXLPB22YOaBiIiIqsLMAxERUb0w80DT9eKLL+Lmm2/GggULEI1Gce211+KnP/2p8/1HHnkEQgjP2+DgYMlt/+AHP8A111yDcDiMtrY23HLLLXV+N9NXz+MAAMlkEm984xshhMCRI0fq+E5mrh7H4tVXX8W2bduwfPlyhMNhXHbZZfj0pz+NVCo1W2+ravX6nRgaGsL73/9+RKNRtLa2Ytu2bRgfH5+NtzRt5Y6F7ZFHHsG6desQCoXQ1dWF7du3l9xuf38/PvCBD6CnpwfNzc1485vfjO9+97v1ehszVq/jAAD79+/Hxo0b0dzcjGg0ire97W2Ympqqx9vIsoOHmd4aDIOHWfCud70LmUwGP/nJT3D48GFcffXVeNe73oX+/n4AwO23344zZ87k3DZv3ow/+IM/QFdXV9Htfve738UHPvABfOhDH8Kvf/1r/OIXv8Af//Efz9bbqlq9joPt4x//+Cy1m525ehyLY8eOwTRNfOlLX8LRo0exc+dOPPTQQ/i7v/u72XxrVanX78T73/9+HD16FI8//ji+//3v42c/+xn+/M//fLbe1rSUOxYA8K//+q/4+7//e3ziE5/A0aNH8eMf/xibN28uud0PfvCD6Ovrw3/8x3/g2WefxZYtW/Ce97wHv/rVr+r9lqalXsdh//79uOGGG3D99dfjl7/8JQ4dOoSPfOQj0DSeBqdFUl2dPXtWApA/+9nPnPvi8bgEIB9//HHP5wwODkq/3y+/8Y1vFN1uOp2Wl1xyifzqV79a832uh3odB9t//ud/yjVr1sijR49KAPJXv/pVrXa95up9LNz+6Z/+SS5fvnxG+1sv9ToOzz//vAQgDx065Nz3wx/+UAoh5Ouvv167N1BDlRyLoaEhGQ6H5Y9//OOqtt3c3FxwvNrb2+VXvvKVme94jdXzOFxzzTXyk5/8ZE33t5TR0VEJQA4feEAaz+2a0W34wAMSgBwdHZ21/S+HIVeddXR0YPXq1fjGN76BiYkJZDIZfOlLX0JXVxfWr1/v+ZxvfOMbaGpqwm233VZ0u8888wxef/11aJqGN73pTVi4cCFuvPFGPPfcc/V6KzNSr+MAAAMDA/izP/szfPOb30RTU1M9dr+m6nks8o2OjqK9vb0Wu11z9ToO+/fvR2trK37nd37HuW/Tpk3QNA0HDx6s+fuohUqOxeOPPw7TNPH6669j7dq1WLx4Md7znvfg5MmTJbf9e7/3e/i3f/s3DA0NwTRNfPvb30YikcDb3/72WXhn1anXcRgcHMTBgwfR1dWF3/u930N3dzf+4A/+AD//+c/r/6bm6bAFMw+z4OTJk3L9+vVSCCF1XZcLFy6UzzzzTNHHr127Vn74wx8uuc1vfetbEoBcunSp/M53viOffvpp+b73vU92dHTI8+fP1/ot1EQ9joNpmvKGG26Q//AP/yCllPL48eMNn3mQsj7HIt9LL70ko9Go/PKXvzzT3a2behyHe++9V15++eUF93d2dsoHHnhgxvtcL+WOxY4dO6Tf75erV6+WP/rRj+T+/fvlddddJ1evXi2TyWTR7Q4PD8vrr79eApA+n09Go1G5d+/e2XhL01KP47B//34JQLa3t8uvfe1r8plnnpEf/ehHZSAQkC+++GJd3oeTefjll6Tx/DdmdBv+5ZeYeZgvPvGJTxQt5LJvx44dg5QS27dvR1dXF5566in88pe/xC233IKbbroJZ86cKdju/v378cILL2Dbtm0lX980TQDA3//932Pr1q1Yv349du3aBSEE9uzZU5f37GWuj8P/+B//A2NjY7jnnnvq9RYrNtfHwu3111/HDTfcgD/6oz/Cn/3Zn9XybZbVSMdhrtXyWJimiXQ6jS9+8YvYvHkzNmzYgG9961t46aWXPAsKbZ/61KcwMjKCH//4x3j66adx99134z3veQ+effbZ2ToMc34c7M/L//bf/hs+9KEP4U1vehN27tyJ1atX42tf+9qsHYf5hO2pp+ns2bM4f/58ycesWLECTz31FK6//noMDw/ntBVdtWoVtm3bhk984hM5z9m2bRueeeaZssVMP/3pT7Fx40Y89dRTuPbaa537r7nmGmzatAn33nvvNN5V9eb6ONxyyy147LHHIFxpPcMwoOs63v/+9+PrX//6NN7V9Mz1sbCdPn0ab3/727FhwwY88sgjs14QNtfH4Wtf+xo+9rGPYXh42Lkvk8kgFAphz549uPXWW6fxrqanlsdi165d+NM//VOcPHkSixcvdh7T3d2Nz33uc55B4iuvvIKVK1fiueeew5VXXuncv2nTJqxcuRIPPfRQDd5leXN9HI4fP44VK1bgm9/8Jv7rf/2vzv233347fD4f/tf/+l81eJe5nPbUv/xybdpT/+6fN1R7avZ5mKbOzk50dnaWfdzk5CQAFHyAa5rmRMO28fFx/Pu//zt27NhRdrvr169HMBhEX1+fEzyk02m8+uqrWLZsWaVvY8bm+jh88YtfxOc+9znn69OnT2Pz5s34t3/7N1xzzTWVvIWametjAaiMwzve8Q4nEzUXleRzfRx6e3sxMjKCw4cPO+PkP/nJT2Ca5gX9O/HWt74VANDX1+ecNIeGhnDu3Lmif/PFtqvresExrqe5Pg6XXnopFi1ahL6+vpz7X3zxRdx4443VvZlqCdSgz0NN9qS25m7E5OJw9uxZ2dHRIbds2SKPHDki+/r65F//9V9Lv98vjxw5kvPYr371qzIUCsnh4eGC7Rw8eFCuXr1anjp1yrnvr/7qr+Qll1wi9+7dK48dOya3bdsmu7q65NDQUL3fVtXqeRzcLoSah3odi1OnTsmVK1fK6667Tp46dUqeOXPGuTWiev5O3HDDDfJNb3qTPHjwoPz5z38uV61aJd/3vvfV+y1NW6XH4uabb5ZXXnml/MUvfiGfffZZ+a53vUteccUVMpVKSSnV78Dq1avlwYMHpZRSplIpuXLlSvn7v//78uDBg/Lll1+W//Iv/yKFEPIHP/jBnLzXUup1HKSUcufOnTIajco9e/bIl156SX7yk5+UoVBIvvzyy3V5L07Nw6EvS+OF/29Gt+FDX264mgcGD7Pg0KFD8vrrr5ft7e2ypaVFbtiwQf7nf/5nweN6e3vlH//xH3tu46c//akEII8fP+7cl0ql5Mc+9jHZ1dUlW1pa5KZNm+Rzzz1Xr7cxY/U6Dm4XQvAgZX2Oxa5duyQAz1ujqtfvxPnz5+X73vc+GYlEZDQalR/60Ifk2NhYvd5GTVRyLEZHR+Wf/umfytbWVtne3i5vvfVWeeLECef79u//T3/6U+e+F198UW7ZskV2dXXJpqYmuW7duqqn/M6meh0HKVWx5eLFi2VTU5Ps7e2VTz31VN3ehxM8PP1VaRzbPaPb8NNfbbjggTUPRERENebUPDz9MKKRmU0hj49Pou13tjVUzQNnWxAREVFVWDBJRERUL/N0YSwGD0RERHWjYeZJ/sYbJGi8PSIiIqKGxswDERFRvXDYgoiIiKpTi4WtGDwQERFdRARmfvJvvOCBNQ9ERERUFWYeiIiI6kVo6jbTbTQYBg9ERET1Mk8LJhsvnCEiIqKGxswDERFR3czPgkkGD0RERPUyT2seGm+PiIiIqKExeCAiIqoTIURNbtX42c9+hptuugmLFi2CEALf+973cr4vpcR//+//HQsXLkQ4HMamTZvw0ksvVfUaDB6IiIjqRtToVrmJiQlcffXVuP/++z2//0//9E/44he/iIceeggHDx5Ec3MzNm/ejEQiUfFrsOaBiIjoAhCPx3O+DgaDCAaDBY+78cYbceONN3puQ0qJz3/+8/jkJz+Jm2++GQDwjW98A93d3fje976H9773vRXtCzMPRERE9SJEtmhy2jeVeViyZAlisZhz27FjR9W7c/z4cfT392PTpk3OfbFYDNdccw32799f8XaYeSAiIqqb2k3VPHnyJKLRqHOvV9ahnP7+fgBAd3d3zv3d3d3O9yrB4IGIiKheathhMhqN5gQPc4nDFkRERBeJnp4eAMDAwEDO/QMDA873KsHggYiIqF5mXO9QgyZTLsuXL0dPTw+eeOIJ5754PI6DBw+it7e34u1w2IKIiKhuZr899fj4OF5++WXn6+PHj+PIkSNob2/H0qVL8dGPfhSf+9znsGrVKixfvhyf+tSnsGjRItxyyy0VvwaDByIionnk6aefxjve8Q7n67vvvhsAcMcdd+CRRx7Bxz/+cUxMTODP//zPMTIygmuvvRY/+tGPEAqFKn4NIaWUNd9zIiKii1g8HkcsFsPI8/+BaEvzzLY1NoHWK96N0dHRhimYZOaBiIioXrgwFhEREREzD0RERHU0+wWTs4HBAxERUb3UsElUI+GwBREREVWFmQciIqK60TDz6/TGu85n8EBERFQv83TYgsEDERFRvczT4KHxciFERETU0Jh5ICIiqhvWPBAREVE1OGxBRERExMwDERFRnTVe5mCmGDwQERHVC4ctiIiIiJh5ICIiqiMujEVERETV4LAFERERETMPREREdcQmUURERFSNeTpsweCBiIiobuZnwWTj5UKIiIiooTHzQEREVC8ctiAiIqLqcNiCiIiIiJkHIiKi+qnBsEUDZh4YPBAREdUNhy2IiIiImHkgIiKqG862ICIiourMz/bUjbdHRERE1NCYeSAiIqoXDlsQERFRdebnbAsGD0RERHUzP4MH1jwQERFRVZh5ICIiqhNV8jCzzEEDljwweCAiIqofDlsQERERMfNARERUN5yqSURERNXhsAURERERMw9ERER1IzR1m+k2GgyDByIiorrhsAURERERMw9ERER1w9kWREREVJ35OWzB4IGIiKhe5mnmgTUPREREVBVmHoiIiOqGwxZERERUDQ5bEBERETHzQEREVEcctiAiIqJqzNP21I23R0RERNTQmHkgIiKqGw5bEBERUTU424KIiIiImQciIqK6icfHMdNhB7WNxsLggYiIqMYCgQB6enqwZNW6mmyvp6cHgUCgJtuqBSGllHO9E0RERPNNIpFAKpWqybYCgQBCoVBNtlULDB6IiIioKiyYJCIioqoweCAiIqKqMHggIiKiqjB4ICIioqoweCAiIqKqMHggIiKiqjB4ICIioqr8/+ikyu3w8YFpAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -3770,10 +3778,10 @@
    "execution_count": 47,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:45.492370Z",
-     "iopub.status.busy": "2024-09-05T03:01:45.492035Z",
-     "iopub.status.idle": "2024-09-05T03:01:47.944262Z",
-     "shell.execute_reply": "2024-09-05T03:01:47.943689Z"
+     "iopub.execute_input": "2024-11-05T03:02:28.109124Z",
+     "iopub.status.busy": "2024-11-05T03:02:28.108715Z",
+     "iopub.status.idle": "2024-11-05T03:02:30.545786Z",
+     "shell.execute_reply": "2024-11-05T03:02:30.545211Z"
     }
    },
    "outputs": [
@@ -3782,23 +3790,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    53851.000000\n",
-      "mean         7.350465\n",
-      "std          0.904778\n",
+      "count    57379.000000\n",
+      "mean         7.341531\n",
+      "std          0.904435\n",
       "min          0.500000\n",
-      "25%          6.890000\n",
-      "50%          7.700000\n",
+      "25%          6.860000\n",
+      "50%          7.680000\n",
       "75%          8.000000\n",
       "max         16.200000\n",
       "dtype: float64\n",
       "Unusable results: 51\n",
       "Usable results with inferred units: 36\n",
-      "Results outside threshold (0.0 to 12.779133009876027): 1\n"
+      "Results outside threshold (0.0 to 12.76814268989996): 1\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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gAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYhwADAACMQ4ABAADGIcAAAADjEGAAAIBxCDAAAMA4BBgAAGAcAgwAADBOswLM4sWLddVVV6lz587q1q2bJk6cqIMHDwbNOXnypLKystS1a1ddcsklmjx5ssrLy4PmHD58WJmZmerYsaO6deum2bNn64cffgias3XrVg0fPlwul0t9+/bV6tWrW/YMAQBAm9OsALNt2zZlZWVp165d8nq98vv9Sk9P14kTJ6w5s2bN0rvvvqt169Zp27ZtOnr0qCZNmmTtr62tVWZmpmpqarRz5069+uqrWr16tebPn2/NOXTokDIzMzV69GiVlpYqOztbd955pzZt2tQKTxkAAJiuQ3Mmb9y4MWi8evVqdevWTSUlJbr22mtVWVmpl19+WQUFBRozZowkadWqVerfv7927dqlkSNHavPmzfrkk0/0/vvvKz4+XkOHDtWiRYs0Z84cLViwQFFRUVq5cqWSkpK0dOlSSVL//v21Y8cOLVu2TBkZGa301AEAgKmaFWAaqqyslCTFxcVJkkpKSuT3+5WWlmbN6devn3r16qXi4mKNHDlSxcXFGjRokOLj4605GRkZmjFjhg4cOKBhw4apuLg46DHq52RnZ5+xlurqalVXV1tjn88nSfL7/datfowzo0/20Sv72nOvXBEBSaee+znH4afGDffhlPb8mmou03plt86wQCAQaMkXqKur03XXXadjx45px44dkqSCggLdcccdQUFCklJTUzV69Gg9/vjjuvvuu/Xll18GHQ6qqqpSp06dtGHDBo0fP14/+9nPdMcddyg3N9eas2HDBmVmZqqqqkoxMTGN6lmwYIEefvjhRtsLCgrUsWPHljxFAABwkVVVVemWW25RZWWl3G73Gee1eAUmKytLH3/8sRVenJabm6ucnBxr7PP51LNnT6Wnp8vtdsvv98vr9WrcuHGKjIx0sNLQRp/so1f2tedeDVzw43/WPl6QYWucvHCjFqXUady4cRr26JagfTilPb+mmsu0XtUfQTmXFgWYmTNnav369dq+fbt69OhhbU9ISFBNTY2OHTumLl26WNvLy8uVkJBgzdmzZ0/Q49VfpXT6nIZXLpWXl8vtdje5+iJJLpdLLper0fbIyMigb1jDMZpGn+yjV/a1x15V14ZJkvW8zzmuOzVuuK/P3EJJ0hdLMi9G6UZoj6+pljKlV3ZrbNZVSIFAQDNnztSbb76pLVu2KCkpKWh/cnKyIiMjVVRUZG07ePCgDh8+LI/HI0nyeDzav3+/KioqrDler1dut1sDBgyw5pz+GPVz6h8DAAC0b81agcnKylJBQYHefvttde7cWWVlZZKk2NhYxcTEKDY2VtOnT1dOTo7i4uLkdrt17733yuPxaOTIkZKk9PR0DRgwQLfddpvy8vJUVlamBx98UFlZWdYKyj333KPly5fr/vvv17Rp07RlyxatXbtWhYWFrfz0AQCAiZq1ArNixQpVVlZq1KhR6t69u3Vbs2aNNWfZsmX69a9/rcmTJ+vaa69VQkKC3njjDWt/RESE1q9fr4iICHk8Ht166626/fbbtXDhQmtOUlKSCgsL5fV6NWTIEC1dulQvvfQSl1ADAABJzVyBsXPBUnR0tPLz85Wfn3/GOb1799aGDRvO+jijRo3SRx991JzyAABAO8HvQgIAAMYhwAAAAOMQYAAAgHEIMAAAwDgEGABoZfUfOAfgwiHAAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYhwADAACMQ4ABAADGIcAAAADjEGAAAIBxCDAAAMA4BBgAAGAcAgwAADAOAQYAABiHAAMAAIxDgAGAEDRwwSanSwBCGgEGAAAYhwADAACMQ4ABAADGIcAAAADjEGAA4Dz1mVuoPnMLnS4DaFcIMAAAwDgEGAAAYBwCDAAAMA4BBgAAGIcAAwAAjNPB6QIAALKuYnJFOFwIYAhWYAAAgHEIMAAAwDgEGAAAYBwCDAAAMA4BBgAAGIcAAwAAjEOAAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYhwADAACMQ4ABAADGIcAAAADjEGAAAIBxCDAAAMA4BBgAAGAcAgwAADAOAQYAABiHAAMAAIxDgAEAAMYhwAAAAON0cLoAAGiP+swtdLoEwGiswAAAAOMQYAAAgHEIMAAAwDgEGAAAYBwCDAAAMA4BBgAAGIcAAwAAjEOAAQAAxuGD7ACgmeo/hO6LJZkX9esBOIUVGAAAYBwCDAAAMA4BBgAAGIcAAwAAjNPsALN9+3ZNmDBBiYmJCgsL01tvvRW0PxAIaP78+erevbtiYmKUlpamzz//PGjON998oylTpsjtdqtLly6aPn26vvvuu6A5//jHP/SLX/xC0dHR6tmzp/Ly8pr/7AAgRPSZW8jJuEAranaAOXHihIYMGaL8/Pwm9+fl5emZZ57RypUrtXv3bnXq1EkZGRk6efKkNWfKlCk6cOCAvF6v1q9fr+3bt+vuu++29vt8PqWnp6t3794qKSnRE088oQULFuiFF15owVMEAABtTbMvox4/frzGjx/f5L5AIKCnnnpKDz74oK6//npJ0h//+EfFx8frrbfe0s0336xPP/1UGzdu1N69e5WSkiJJevbZZ/WrX/1Kf/jDH5SYmKjXXntNNTU1euWVVxQVFaUrr7xSpaWlevLJJ4OCDgAAaJ9a9RyYQ4cOqaysTGlpada22NhYjRgxQsXFxZKk4uJidenSxQovkpSWlqbw8HDt3r3bmnPttdcqKirKmpORkaGDBw/q22+/bc2SAeCcOPwDhJ5W/SC7srIySVJ8fHzQ9vj4eGtfWVmZunXrFlxEhw6Ki4sLmpOUlNToMer3XXrppY2+dnV1taqrq62xz+eTJPn9futWP8aZ0Sf76JV9pvfKFRGQdKp+O+OG+2x/rfBA0J9NMbWPrcn019TFZFqv7NbZZj6Jd/HixXr44Ycbbd+8ebM6duxojb1e78Usy1j0yT56ZZ+pvcpL/fHPDRs22B433Ndci1Lqzriv/rFh7mvKCab0qqqqyta8Vg0wCQkJkqTy8nJ1797d2l5eXq6hQ4dacyoqKoLu98MPP+ibb76x7p+QkKDy8vKgOfXj+jkN5ebmKicnxxr7fD717NlT6enpcrvd8vv98nq9GjdunCIjI8/vibZh9Mk+emWf6b0auGCTJOnjBRm2xw332eUKD2hRSp3mfRiu6rqwJufUP3Z7Zvpr6mIyrVf1R1DOpVUDTFJSkhISElRUVGQFFp/Pp927d2vGjBmSJI/Ho2PHjqmkpETJycmSpC1btqiurk4jRoyw5jzwwAPy+/1Ws71er6644oomDx9JksvlksvlarQ9MjIy6BvWcIym0Sf76JV9pvaquvbHIFFfu51xw33N/pp1YWe8r4k9vFBMfU05wZRe2a2x2SfxfvfddyotLVVpaamkH0/cLS0t1eHDhxUWFqbs7Gw98sgjeuedd7R//37dfvvtSkxM1MSJEyVJ/fv31y9/+Uvddddd2rNnj/72t79p5syZuvnmm5WYmChJuuWWWxQVFaXp06frwIEDWrNmjZ5++umgFRYAANB+NXsF5sMPP9To0aOtcX2omDp1qlavXq37779fJ06c0N13361jx47p5z//uTZu3Kjo6GjrPq+99ppmzpypsWPHKjw8XJMnT9Yzzzxj7Y+NjdXmzZuVlZWl5ORkXXbZZZo/fz6XUAMAAEktCDCjRo1SIHDms+PDwsK0cOFCLVy48Ixz4uLiVFBQcNavM3jwYP31r39tbnkA0G7UX9r9xZJMhysBLj5+FxIANMDnvgChjwADAACMQ4ABAADGIcAAAADjtJlP4gUAp3HeDHDxsAIDAACMQ4ABAHHlEWAaDiEBwAVAGAIuLFZgALRLrLgAZiPAAGgXCCxA20KAAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAMbixFyg/SLAAAAA4xBgALQZp6/GsDoDtG0EGAAAYBwCDABjsKoCoB4BBgAAGIdf5ggALcRqEOAcAgwAGIbgBHAICUAI45wXAGdCgAEAAMYhwAAAAONwDgwA43BYCQArMABCBue8ALCLAAMAAIxDgAEAAMbhHBgAbdr5HJLicBYQuggwANoVAg3QNnAICYCjOHEXQEuwAgOgXWsYnghTgBlYgQEAAMYhwAAAAOMQYAAAgHEIMAAAwDicxAvAeJx4C7Q/BBgAF1V92PhiSeYFfXwAbRuHkACgjeAzddCesAIDIOTxjzKAhggwAC6oPnML5YoIKC+1efcBgLPhEBIAADAOAQZASGDVBUBzEGAAAIBxCDAAAMA4nMQLoFXZ/ZwXDhkBOB8EGAAwHGEQ7RGHkAAAgHEIMAAAwDgEGADnjUMYAC42AgwAADAOAQbARTNwwSanSwDQRhBgADQbv/UYgNMIMADQBhEy0dYRYACcE/8YAgg1fJAdgDM6n9BC4AFwIbECAwAAjEOAAQAAxiHAAO0c57cAMBEBBoCFMAPAFJzEC8A2wg2AUEGAAdq4+tDxxZLMC/bYDf8OZ/G9QHvAISSgjTnXYSAOEwFoCwgwQBtAIAHQ3hBgAACAcTgHBkAjrOgACHWswABAO8C5T2hrWIEBQkBzrxRqjSuLGv5jxj9uAExCgAEukvMJHS25LwEFQFtGgAFaSWuuoth9LEIJzuVMr5EL+flAwMUQ0gEmPz9fTzzxhMrKyjRkyBA9++yzSk1NdboswJaLfZiHMAOgPQnZk3jXrFmjnJwcPfTQQ9q3b5+GDBmijIwMVVRUOF0a0KoIHriYznQyb8PtvC4R6kJ2BebJJ5/UXXfdpTvuuEOStHLlShUWFuqVV17R3LlzHa4O7dXpb+quiIDyUqWBCzapujasyTnneozm7AMuBF5zMFVIBpiamhqVlJQoNzfX2hYeHq60tDQVFxc3eZ/q6mpVV1db48rKSknSN998I7/fL7/fr6qqKn399deKjIy8sE/AYCb2acTiIknS7tyxzR7X/92u039gOtQFVFVVpw7+cNXWhZ3xPn3/39pG921v7PYKzvfq9Nfr119/LUm2f07qf8bOpuHPY0uZ+F7lFNN6dfz4cUlSIBA4+8RACPrqq68CkgI7d+4M2j579uxAampqk/d56KGHApK4cePGjRs3bm3gduTIkbNmhTbzn8Lc3Fzl5ORY47q6On3zzTfq2rWrwsLC5PP51LNnTx05ckRut9vBSkMbfbKPXtlHr+yjV/bQJ/tM61UgENDx48eVmJh41nkhGWAuu+wyRUREqLy8PGh7eXm5EhISmryPy+WSy+UK2talS5dG89xutxHfQKfRJ/volX30yj56ZQ99ss+kXsXGxp5zTkhehRQVFaXk5GQVFZ067lpXV6eioiJ5PB4HKwMAAKEgJFdgJCknJ0dTp05VSkqKUlNT9dRTT+nEiRPWVUkAAKD9CtkAc9NNN+m///2v5s+fr7KyMg0dOlQbN25UfHx8ix7P5XLpoYceanSYCcHok330yj56ZR+9soc+2ddWexUWCJzrOiUAAIDQEpLnwAAAAJwNAQYAABiHAAMAAIxDgAEAAMZpFwEmPz9fffr0UXR0tEaMGKE9e/Y4XVLIWbx4sa666ip17txZ3bp108SJE3Xw4EGnywp5S5YsUVhYmLKzs50uJSR99dVXuvXWW9W1a1fFxMRo0KBB+vDDD50uK+TU1tZq3rx5SkpKUkxMjH76059q0aJF5/5dMO3A9u3bNWHCBCUmJiosLExvvfVW0P5AIKD58+ere/fuiomJUVpamj7//HNninXY2Xrl9/s1Z84cDRo0SJ06dVJiYqJuv/12HT161LmCz1ObDzBr1qxRTk6OHnroIe3bt09DhgxRRkaGKioqnC4tpGzbtk1ZWVnatWuXvF6v/H6/0tPTdeLECadLC1l79+7V888/r8GDBztdSkj69ttvdc011ygyMlLvvfeePvnkEy1dulSXXnqp06WFnMcff1wrVqzQ8uXL9emnn+rxxx9XXl6enn32WadLc9yJEyc0ZMgQ5efnN7k/Ly9PzzzzjFauXKndu3erU6dOysjI0MmTJy9ypc47W6+qqqq0b98+zZs3T/v27dMbb7yhgwcP6rrrrnOg0lbSGr98MZSlpqYGsrKyrHFtbW0gMTExsHjxYgerCn0VFRUBSYFt27Y5XUpIOn78eODyyy8PeL3ewP/93/8F7rvvPqdLCjlz5swJ/PznP3e6DCNkZmYGpk2bFrRt0qRJgSlTpjhUUWiSFHjzzTetcV1dXSAhISHwxBNPWNuOHTsWcLlcgT//+c8OVBg6GvaqKXv27AlICnz55ZcXp6hW1qZXYGpqalRSUqK0tDRrW3h4uNLS0lRcXOxgZaGvsrJSkhQXF+dwJaEpKytLmZmZQa8tBHvnnXeUkpKi3/zmN+rWrZuGDRumF1980emyQtLVV1+toqIiffbZZ5Kkv//979qxY4fGjx/vcGWh7dChQyorKwv6OYyNjdWIESN4j7ehsrJSYWFhTf7eQBOE7Cfxtob//e9/qq2tbfTpvfHx8frnP//pUFWhr66uTtnZ2brmmms0cOBAp8sJOa+//rr27dunvXv3Ol1KSPv3v/+tFStWKCcnR7///e+1d+9e/e53v1NUVJSmTp3qdHkhZe7cufL5fOrXr58iIiJUW1urRx99VFOmTHG6tJBWVlYmSU2+x9fvQ9NOnjypOXPm6Le//a0xv+CxoTYdYNAyWVlZ+vjjj7Vjxw6nSwk5R44c0X333Sev16vo6GinywlpdXV1SklJ0WOPPSZJGjZsmD7++GOtXLmSANPA2rVr9dprr6mgoEBXXnmlSktLlZ2drcTERHqFVuf3+3XjjTcqEAhoxYoVTpfTYm36ENJll12miIgIlZeXB20vLy9XQkKCQ1WFtpkzZ2r9+vX64IMP1KNHD6fLCTklJSWqqKjQ8OHD1aFDB3Xo0EHbtm3TM888ow4dOqi2ttbpEkNG9+7dNWDAgKBt/fv31+HDhx2qKHTNnj1bc+fO1c0336xBgwbptttu06xZs7R48WKnSwtp9e/jvMfbVx9evvzyS3m9XmNXX6Q2HmCioqKUnJysoqIia1tdXZ2Kiork8XgcrCz0BAIBzZw5U2+++aa2bNmipKQkp0sKSWPHjtX+/ftVWlpq3VJSUjRlyhSVlpYqIiLC6RJDxjXXXNPoUvzPPvtMvXv3dqii0FVVVaXw8OC344iICNXV1TlUkRmSkpKUkJAQ9B7v8/m0e/du3uObUB9ePv/8c73//vvq2rWr0yWdlzZ/CCknJ0dTp05VSkqKUlNT9dRTT+nEiRO64447nC4tpGRlZamgoEBvv/22OnfubB0/jo2NVUxMjMPVhY7OnTs3Oi+oU6dO6tq1K+cLNTBr1ixdffXVeuyxx3TjjTdqz549euGFF/TCCy84XVrImTBhgh599FH16tVLV155pT766CM9+eSTmjZtmtOlOe67777Tv/71L2t86NAhlZaWKi4uTr169VJ2drYeeeQRXX755UpKStK8efOUmJioiRMnOle0Q87Wq+7du+uGG27Qvn37tH79etXW1lrv83FxcYqKinKq7JZz+jKoi+HZZ58N9OrVKxAVFRVITU0N7Nq1y+mSQo6kJm+rVq1yurSQx2XUZ/buu+8GBg4cGHC5XIF+/foFXnjhBadLCkk+ny9w3333BXr16hWIjo4O/OQnPwk88MADgerqaqdLc9wHH3zQ5HvT1KlTA4HAj5dSz5s3LxAfHx9wuVyBsWPHBg4ePOhs0Q45W68OHTp0xvf5Dz74wOnSWyQsEOCjHgEAgFna9DkwAACgbSLAAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYhwADAACMQ4ABAADGIcAAAADjEGAAAIBxCDAAAMA4/x/GaRm4NAxwEQAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3824,10 +3832,10 @@
    "execution_count": 48,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:47.946404Z",
-     "iopub.status.busy": "2024-09-05T03:01:47.946088Z",
-     "iopub.status.idle": "2024-09-05T03:01:48.012144Z",
-     "shell.execute_reply": "2024-09-05T03:01:48.011650Z"
+     "iopub.execute_input": "2024-11-05T03:02:30.547702Z",
+     "iopub.status.busy": "2024-11-05T03:02:30.547286Z",
+     "iopub.status.idle": "2024-11-05T03:02:30.616201Z",
+     "shell.execute_reply": "2024-11-05T03:02:30.615690Z"
     }
    },
    "outputs": [
@@ -3902,43 +3910,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398003</th>\n",
-       "      <td>7.893</td>\n",
-       "      <td>None</td>\n",
+       "      <th>418223</th>\n",
+       "      <td>5.9</td>\n",
+       "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.893 dimensionless</td>\n",
+       "      <td>5.9 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398013</th>\n",
-       "      <td>7.206</td>\n",
-       "      <td>None</td>\n",
+       "      <th>418224</th>\n",
+       "      <td>7.9</td>\n",
+       "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.206 dimensionless</td>\n",
+       "      <td>7.9 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398015</th>\n",
-       "      <td>4.78</td>\n",
-       "      <td>None</td>\n",
+       "      <th>418226</th>\n",
+       "      <td>8.3</td>\n",
+       "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>4.78 dimensionless</td>\n",
+       "      <td>8.3 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398018</th>\n",
-       "      <td>7.9835</td>\n",
-       "      <td>None</td>\n",
+       "      <th>418227</th>\n",
+       "      <td>6.6</td>\n",
+       "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.9835 dimensionless</td>\n",
+       "      <td>6.6 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398034</th>\n",
-       "      <td>7.196</td>\n",
-       "      <td>None</td>\n",
+       "      <th>418228</th>\n",
+       "      <td>8.1</td>\n",
+       "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.196 dimensionless</td>\n",
+       "      <td>8.1 dimensionless</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>53902 rows × 4 columns</p>\n",
+       "<p>57430 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -3949,26 +3957,26 @@
        "16                   6.57                          None     NaN   \n",
        "18                   7.72                          None     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "398003              7.893                          None     NaN   \n",
-       "398013              7.206                          None     NaN   \n",
-       "398015               4.78                          None     NaN   \n",
-       "398018             7.9835                          None     NaN   \n",
-       "398034              7.196                          None     NaN   \n",
-       "\n",
-       "                          pH  \n",
-       "0         7.29 dimensionless  \n",
-       "12        7.45 dimensionless  \n",
-       "15        6.57 dimensionless  \n",
-       "16        6.57 dimensionless  \n",
-       "18        7.72 dimensionless  \n",
-       "...                      ...  \n",
-       "398003   7.893 dimensionless  \n",
-       "398013   7.206 dimensionless  \n",
-       "398015    4.78 dimensionless  \n",
-       "398018  7.9835 dimensionless  \n",
-       "398034   7.196 dimensionless  \n",
-       "\n",
-       "[53902 rows x 4 columns]"
+       "418223                5.9                     std units     NaN   \n",
+       "418224                7.9                     std units     NaN   \n",
+       "418226                8.3                     std units     NaN   \n",
+       "418227                6.6                     std units     NaN   \n",
+       "418228                8.1                     std units     NaN   \n",
+       "\n",
+       "                        pH  \n",
+       "0       7.29 dimensionless  \n",
+       "12      7.45 dimensionless  \n",
+       "15      6.57 dimensionless  \n",
+       "16      6.57 dimensionless  \n",
+       "18      7.72 dimensionless  \n",
+       "...                    ...  \n",
+       "418223   5.9 dimensionless  \n",
+       "418224   7.9 dimensionless  \n",
+       "418226   8.3 dimensionless  \n",
+       "418227   6.6 dimensionless  \n",
+       "418228   8.1 dimensionless  \n",
+       "\n",
+       "[57430 rows x 4 columns]"
       ]
      },
      "execution_count": 48,
@@ -3999,10 +4007,10 @@
    "execution_count": 49,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:48.014403Z",
-     "iopub.status.busy": "2024-09-05T03:01:48.014047Z",
-     "iopub.status.idle": "2024-09-05T03:01:55.364562Z",
-     "shell.execute_reply": "2024-09-05T03:01:55.364090Z"
+     "iopub.execute_input": "2024-11-05T03:02:30.618160Z",
+     "iopub.status.busy": "2024-11-05T03:02:30.617827Z",
+     "iopub.status.idle": "2024-11-05T03:02:38.489530Z",
+     "shell.execute_reply": "2024-11-05T03:02:38.489056Z"
     }
    },
    "outputs": [
@@ -4011,23 +4019,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    68190.000000\n",
-      "mean        16.236781\n",
-      "std        156.409068\n",
+      "count    71623.000000\n",
+      "mean        16.003990\n",
+      "std        152.637844\n",
       "min          0.000000\n",
-      "25%          6.500000\n",
-      "50%         16.400000\n",
-      "75%         23.520000\n",
+      "25%          6.000000\n",
+      "50%         16.200000\n",
+      "75%         23.400000\n",
       "max      37782.000000\n",
       "dtype: float64\n",
-      "Unusable results: 416\n",
+      "Unusable results: 417\n",
       "Usable results with inferred units: 10\n",
-      "Results outside threshold (0.0 to 954.6911897215225): 4\n"
+      "Results outside threshold (0.0 to 931.8310544495984): 4\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4046,10 +4054,10 @@
    "execution_count": 50,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:55.366712Z",
-     "iopub.status.busy": "2024-09-05T03:01:55.366370Z",
-     "iopub.status.idle": "2024-09-05T03:01:55.442624Z",
-     "shell.execute_reply": "2024-09-05T03:01:55.442113Z"
+     "iopub.execute_input": "2024-11-05T03:02:38.491485Z",
+     "iopub.status.busy": "2024-11-05T03:02:38.491153Z",
+     "iopub.status.idle": "2024-11-05T03:02:38.571404Z",
+     "shell.execute_reply": "2024-11-05T03:02:38.570901Z"
     }
    },
    "outputs": [
@@ -4124,43 +4132,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398017</th>\n",
-       "      <td>31.5583</td>\n",
-       "      <td>ppt</td>\n",
+       "      <th>418167</th>\n",
+       "      <td>17.3</td>\n",
+       "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>31.5583 Practical_Salinity_Units</td>\n",
+       "      <td>17.3 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398026</th>\n",
-       "      <td>.3046</td>\n",
-       "      <td>ppt</td>\n",
+       "      <th>418173</th>\n",
+       "      <td>0.03</td>\n",
+       "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.3046 Practical_Salinity_Units</td>\n",
+       "      <td>0.03 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398029</th>\n",
-       "      <td>17.7888</td>\n",
-       "      <td>ppt</td>\n",
+       "      <th>418177</th>\n",
+       "      <td>24.58</td>\n",
+       "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>17.7888 Practical_Salinity_Units</td>\n",
+       "      <td>24.58 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398031</th>\n",
-       "      <td>17.1252</td>\n",
-       "      <td>ppt</td>\n",
+       "      <th>418179</th>\n",
+       "      <td>17.59</td>\n",
+       "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>17.1252 Practical_Salinity_Units</td>\n",
+       "      <td>17.59 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398035</th>\n",
-       "      <td>.02</td>\n",
-       "      <td>ppt</td>\n",
+       "      <th>418180</th>\n",
+       "      <td>24.38</td>\n",
+       "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.02 Practical_Salinity_Units</td>\n",
+       "      <td>24.38 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>68606 rows × 4 columns</p>\n",
+       "<p>72040 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -4171,26 +4179,26 @@
        "17                   0.50                          ppth     NaN   \n",
        "19                    3.3                          ppth     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "398017            31.5583                           ppt     NaN   \n",
-       "398026              .3046                           ppt     NaN   \n",
-       "398029            17.7888                           ppt     NaN   \n",
-       "398031            17.1252                           ppt     NaN   \n",
-       "398035                .02                           ppt     NaN   \n",
-       "\n",
-       "                                Salinity  \n",
-       "4          18.9 Practical_Salinity_Units  \n",
-       "6         11.82 Practical_Salinity_Units  \n",
-       "10         0.03 Practical_Salinity_Units  \n",
-       "17          0.5 Practical_Salinity_Units  \n",
-       "19          3.3 Practical_Salinity_Units  \n",
-       "...                                  ...  \n",
-       "398017  31.5583 Practical_Salinity_Units  \n",
-       "398026   0.3046 Practical_Salinity_Units  \n",
-       "398029  17.7888 Practical_Salinity_Units  \n",
-       "398031  17.1252 Practical_Salinity_Units  \n",
-       "398035     0.02 Practical_Salinity_Units  \n",
-       "\n",
-       "[68606 rows x 4 columns]"
+       "418167               17.3                          ppth     NaN   \n",
+       "418173               0.03                          ppth     NaN   \n",
+       "418177              24.58                          ppth     NaN   \n",
+       "418179              17.59                          ppth     NaN   \n",
+       "418180              24.38                          ppth     NaN   \n",
+       "\n",
+       "                              Salinity  \n",
+       "4        18.9 Practical_Salinity_Units  \n",
+       "6       11.82 Practical_Salinity_Units  \n",
+       "10       0.03 Practical_Salinity_Units  \n",
+       "17        0.5 Practical_Salinity_Units  \n",
+       "19        3.3 Practical_Salinity_Units  \n",
+       "...                                ...  \n",
+       "418167   17.3 Practical_Salinity_Units  \n",
+       "418173   0.03 Practical_Salinity_Units  \n",
+       "418177  24.58 Practical_Salinity_Units  \n",
+       "418179  17.59 Practical_Salinity_Units  \n",
+       "418180  24.38 Practical_Salinity_Units  \n",
+       "\n",
+       "[72040 rows x 4 columns]"
       ]
      },
      "execution_count": 50,
@@ -4215,10 +4223,10 @@
    "execution_count": 51,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:55.444802Z",
-     "iopub.status.busy": "2024-09-05T03:01:55.444465Z",
-     "iopub.status.idle": "2024-09-05T03:01:59.204765Z",
-     "shell.execute_reply": "2024-09-05T03:01:59.204233Z"
+     "iopub.execute_input": "2024-11-05T03:02:38.573314Z",
+     "iopub.status.busy": "2024-11-05T03:02:38.572984Z",
+     "iopub.status.idle": "2024-11-05T03:02:41.738861Z",
+     "shell.execute_reply": "2024-11-05T03:02:41.738327Z"
     }
    },
    "outputs": [
@@ -4226,7 +4234,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n",
       "  warn(\"WARNING: \" + problem)\n"
      ]
     },
@@ -4246,7 +4254,7 @@
       "dtype: float64\n",
       "Unusable results: 4\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 988.466532186079): 1\n"
+      "Results outside threshold (0.0 to 988.4665321860789): 1\n"
      ]
     },
     {
@@ -4270,10 +4278,10 @@
    "execution_count": 52,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:59.207607Z",
-     "iopub.status.busy": "2024-09-05T03:01:59.207252Z",
-     "iopub.status.idle": "2024-09-05T03:01:59.237451Z",
-     "shell.execute_reply": "2024-09-05T03:01:59.237017Z"
+     "iopub.execute_input": "2024-11-05T03:02:41.741619Z",
+     "iopub.status.busy": "2024-11-05T03:02:41.741126Z",
+     "iopub.status.idle": "2024-11-05T03:02:41.772503Z",
+     "shell.execute_reply": "2024-11-05T03:02:41.772030Z"
     }
    },
    "outputs": [
@@ -4327,7 +4335,7 @@
        "      <td>0.33875 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>43606</th>\n",
+       "      <th>43605</th>\n",
        "      <td>0.53125</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -4348,35 +4356,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396834</th>\n",
+       "      <th>411485</th>\n",
        "      <td>18.69</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>18.69 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396841</th>\n",
+       "      <th>411492</th>\n",
        "      <td>16.18</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>16.18 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396842</th>\n",
+       "      <th>411493</th>\n",
        "      <td>18.99</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>18.99 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396845</th>\n",
+       "      <th>411496</th>\n",
        "      <td>18.72</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>18.72 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396847</th>\n",
+       "      <th>411498</th>\n",
        "      <td>17.61</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
@@ -4392,27 +4400,27 @@
        "43125                 0.3                          mg/L     NaN   \n",
        "43334                0.36                          mg/L     NaN   \n",
        "43483             0.33875                          mg/L     NaN   \n",
-       "43606             0.53125                          mg/L     NaN   \n",
+       "43605             0.53125                          mg/L     NaN   \n",
        "44139                 135                         mg/kg     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "396834              18.69                          mg/l     NaN   \n",
-       "396841              16.18                          mg/l     NaN   \n",
-       "396842              18.99                          mg/l     NaN   \n",
-       "396845              18.72                          mg/l     NaN   \n",
-       "396847              17.61                          mg/l     NaN   \n",
+       "411485              18.69                          mg/l     NaN   \n",
+       "411492              16.18                          mg/l     NaN   \n",
+       "411493              18.99                          mg/l     NaN   \n",
+       "411496              18.72                          mg/l     NaN   \n",
+       "411498              17.61                          mg/l     NaN   \n",
        "\n",
        "                                    Nitrogen  \n",
        "43125                  0.3 milligram / liter  \n",
        "43334                 0.36 milligram / liter  \n",
        "43483              0.33875 milligram / liter  \n",
-       "43606              0.53125 milligram / liter  \n",
+       "43605              0.53125 milligram / liter  \n",
        "44139   135.00000000000003 milligram / liter  \n",
        "...                                      ...  \n",
-       "396834               18.69 milligram / liter  \n",
-       "396841               16.18 milligram / liter  \n",
-       "396842               18.99 milligram / liter  \n",
-       "396845               18.72 milligram / liter  \n",
-       "396847               17.61 milligram / liter  \n",
+       "411485               18.69 milligram / liter  \n",
+       "411492               16.18 milligram / liter  \n",
+       "411493               18.99 milligram / liter  \n",
+       "411496               18.72 milligram / liter  \n",
+       "411498               17.61 milligram / liter  \n",
        "\n",
        "[113 rows x 4 columns]"
       ]
@@ -4439,10 +4447,10 @@
    "execution_count": 53,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:01:59.239527Z",
-     "iopub.status.busy": "2024-09-05T03:01:59.239208Z",
-     "iopub.status.idle": "2024-09-05T03:02:01.114342Z",
-     "shell.execute_reply": "2024-09-05T03:02:01.113773Z"
+     "iopub.execute_input": "2024-11-05T03:02:41.774213Z",
+     "iopub.status.busy": "2024-11-05T03:02:41.773945Z",
+     "iopub.status.idle": "2024-11-05T03:02:43.767375Z",
+     "shell.execute_reply": "2024-11-05T03:02:43.766874Z"
     }
    },
    "outputs": [
@@ -4486,10 +4494,10 @@
    "execution_count": 54,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:01.117148Z",
-     "iopub.status.busy": "2024-09-05T03:02:01.116818Z",
-     "iopub.status.idle": "2024-09-05T03:02:01.145271Z",
-     "shell.execute_reply": "2024-09-05T03:02:01.144727Z"
+     "iopub.execute_input": "2024-11-05T03:02:43.769537Z",
+     "iopub.status.busy": "2024-11-05T03:02:43.769059Z",
+     "iopub.status.idle": "2024-11-05T03:02:43.799054Z",
+     "shell.execute_reply": "2024-11-05T03:02:43.798608Z"
     }
    },
    "outputs": [
@@ -4564,35 +4572,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397047</th>\n",
+       "      <th>415023</th>\n",
        "      <td>110</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>110.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397054</th>\n",
+       "      <th>415030</th>\n",
        "      <td>65</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>65.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397055</th>\n",
+       "      <th>415031</th>\n",
        "      <td>110</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>110.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397058</th>\n",
+       "      <th>415034</th>\n",
        "      <td>390</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
        "      <td>390.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397061</th>\n",
+       "      <th>415037</th>\n",
        "      <td>65</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -4611,11 +4619,11 @@
        "394               11017.5                       umho/cm     NaN   \n",
        "746                    32                       umho/cm     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "397047                110                       umho/cm     NaN   \n",
-       "397054                 65                       umho/cm     NaN   \n",
-       "397055                110                       umho/cm     NaN   \n",
-       "397058                390                       umho/cm     NaN   \n",
-       "397061                 65                       umho/cm     NaN   \n",
+       "415023                110                       umho/cm     NaN   \n",
+       "415030                 65                       umho/cm     NaN   \n",
+       "415031                110                       umho/cm     NaN   \n",
+       "415034                390                       umho/cm     NaN   \n",
+       "415037                 65                       umho/cm     NaN   \n",
        "\n",
        "                             Conductivity  \n",
        "8       19204.2 microsiemens / centimeter  \n",
@@ -4624,11 +4632,11 @@
        "394     11017.5 microsiemens / centimeter  \n",
        "746        32.0 microsiemens / centimeter  \n",
        "...                                   ...  \n",
-       "397047    110.0 microsiemens / centimeter  \n",
-       "397054     65.0 microsiemens / centimeter  \n",
-       "397055    110.0 microsiemens / centimeter  \n",
-       "397058    390.0 microsiemens / centimeter  \n",
-       "397061     65.0 microsiemens / centimeter  \n",
+       "415023    110.0 microsiemens / centimeter  \n",
+       "415030     65.0 microsiemens / centimeter  \n",
+       "415031    110.0 microsiemens / centimeter  \n",
+       "415034    390.0 microsiemens / centimeter  \n",
+       "415037     65.0 microsiemens / centimeter  \n",
        "\n",
        "[1826 rows x 4 columns]"
       ]
@@ -4655,10 +4663,10 @@
    "execution_count": 55,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:01.147257Z",
-     "iopub.status.busy": "2024-09-05T03:02:01.147090Z",
-     "iopub.status.idle": "2024-09-05T03:02:03.675800Z",
-     "shell.execute_reply": "2024-09-05T03:02:03.675250Z"
+     "iopub.execute_input": "2024-11-05T03:02:43.801011Z",
+     "iopub.status.busy": "2024-11-05T03:02:43.800615Z",
+     "iopub.status.idle": "2024-11-05T03:02:46.437156Z",
+     "shell.execute_reply": "2024-11-05T03:02:46.436584Z"
     }
    },
    "outputs": [
@@ -4666,9 +4674,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Chlorophyll\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n",
       "  warn(\"WARNING: \" + problem)\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Chlorophyll\n",
       "  warn(\"WARNING: \" + problem)\n"
      ]
     },
@@ -4677,23 +4685,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    9251.000000\n",
-      "mean        1.171505\n",
-      "std         1.200192\n",
+      "count    9266.000000\n",
+      "mean        1.169613\n",
+      "std         1.200140\n",
       "min        -0.840000\n",
-      "25%         0.008395\n",
+      "25%         0.008300\n",
       "50%         0.970000\n",
       "75%         1.850000\n",
       "max         9.990000\n",
       "dtype: float64\n",
-      "Unusable results: 574\n",
+      "Unusable results: 589\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 8.372654750450925): 8\n"
+      "Results outside threshold (0.0 to 8.370452978777962): 8\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4712,10 +4720,10 @@
    "execution_count": 56,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:03.695354Z",
-     "iopub.status.busy": "2024-09-05T03:02:03.695106Z",
-     "iopub.status.idle": "2024-09-05T03:02:03.733516Z",
-     "shell.execute_reply": "2024-09-05T03:02:03.733013Z"
+     "iopub.execute_input": "2024-11-05T03:02:46.438891Z",
+     "iopub.status.busy": "2024-11-05T03:02:46.438719Z",
+     "iopub.status.idle": "2024-11-05T03:02:46.477434Z",
+     "shell.execute_reply": "2024-11-05T03:02:46.476931Z"
     }
    },
    "outputs": [
@@ -4790,35 +4798,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397850</th>\n",
-       "      <td>6.3</td>\n",
+       "      <th>416567</th>\n",
+       "      <td>1.1</td>\n",
        "      <td>mg/m3</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.006300000000000001 milligram / liter</td>\n",
+       "      <td>0.0011000000000000003 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397859</th>\n",
+       "      <th>417159</th>\n",
+       "      <td>4.4</td>\n",
+       "      <td>mg/m3</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.004400000000000001 milligram / liter</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>417176</th>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397875</th>\n",
+       "      <th>417730</th>\n",
        "      <td>1.1</td>\n",
        "      <td>mg/m3</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0011000000000000003 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397976</th>\n",
-       "      <td>4.4</td>\n",
-       "      <td>mg/m3</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.004400000000000001 milligram / liter</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>397978</th>\n",
+       "      <th>417744</th>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
@@ -4826,7 +4834,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>9825 rows × 4 columns</p>\n",
+       "<p>9855 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -4837,11 +4845,11 @@
        "1230                  NaN                           NaN   \n",
        "1370                  2.9                         mg/m3   \n",
        "...                   ...                           ...   \n",
-       "397850                6.3                         mg/m3   \n",
-       "397859                NaN                           NaN   \n",
-       "397875                1.1                         mg/m3   \n",
-       "397976                4.4                         mg/m3   \n",
-       "397978                NaN                           NaN   \n",
+       "416567                1.1                         mg/m3   \n",
+       "417159                4.4                         mg/m3   \n",
+       "417176                NaN                           NaN   \n",
+       "417730                1.1                         mg/m3   \n",
+       "417744                NaN                           NaN   \n",
        "\n",
        "                                                  QA_flag  \\\n",
        "264     ResultMeasureValue: missing (NaN) result; Resu...   \n",
@@ -4850,11 +4858,11 @@
        "1230    ResultMeasureValue: missing (NaN) result; Resu...   \n",
        "1370                                                  NaN   \n",
        "...                                                   ...   \n",
-       "397850                                                NaN   \n",
-       "397859  ResultMeasureValue: missing (NaN) result; Resu...   \n",
-       "397875                                                NaN   \n",
-       "397976                                                NaN   \n",
-       "397978  ResultMeasureValue: missing (NaN) result; Resu...   \n",
+       "416567                                                NaN   \n",
+       "417159                                                NaN   \n",
+       "417176  ResultMeasureValue: missing (NaN) result; Resu...   \n",
+       "417730                                                NaN   \n",
+       "417744  ResultMeasureValue: missing (NaN) result; Resu...   \n",
        "\n",
        "                                    Chlorophyll  \n",
        "264                                         NaN  \n",
@@ -4863,13 +4871,13 @@
        "1230                                        NaN  \n",
        "1370    0.0029000000000000007 milligram / liter  \n",
        "...                                         ...  \n",
-       "397850   0.006300000000000001 milligram / liter  \n",
-       "397859                                      NaN  \n",
-       "397875  0.0011000000000000003 milligram / liter  \n",
-       "397976   0.004400000000000001 milligram / liter  \n",
-       "397978                                      NaN  \n",
+       "416567  0.0011000000000000003 milligram / liter  \n",
+       "417159   0.004400000000000001 milligram / liter  \n",
+       "417176                                      NaN  \n",
+       "417730  0.0011000000000000003 milligram / liter  \n",
+       "417744                                      NaN  \n",
        "\n",
-       "[9825 rows x 4 columns]"
+       "[9855 rows x 4 columns]"
       ]
      },
      "execution_count": 56,
@@ -4894,10 +4902,10 @@
    "execution_count": 57,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:03.735839Z",
-     "iopub.status.busy": "2024-09-05T03:02:03.735420Z",
-     "iopub.status.idle": "2024-09-05T03:02:06.300912Z",
-     "shell.execute_reply": "2024-09-05T03:02:06.300324Z"
+     "iopub.execute_input": "2024-11-05T03:02:46.479222Z",
+     "iopub.status.busy": "2024-11-05T03:02:46.479054Z",
+     "iopub.status.idle": "2024-11-05T03:02:49.134375Z",
+     "shell.execute_reply": "2024-11-05T03:02:49.133777Z"
     }
    },
    "outputs": [
@@ -4906,23 +4914,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count      4639.000000\n",
-      "mean       1184.028265\n",
-      "std       11819.016505\n",
+      "count      4785.000000\n",
+      "mean       1148.065745\n",
+      "std       11639.036255\n",
       "min           0.000000\n",
       "25%           2.700000\n",
       "50%           4.300000\n",
-      "75%           8.400000\n",
+      "75%           8.300000\n",
       "max      410000.000000\n",
       "dtype: float64\n",
-      "Unusable results: 163\n",
+      "Unusable results: 165\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 72098.12729220463): 22\n"
+      "Results outside threshold (0.0 to 70982.2832722254): 22\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4941,10 +4949,10 @@
    "execution_count": 58,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:06.303253Z",
-     "iopub.status.busy": "2024-09-05T03:02:06.303085Z",
-     "iopub.status.idle": "2024-09-05T03:02:06.340749Z",
-     "shell.execute_reply": "2024-09-05T03:02:06.340228Z"
+     "iopub.execute_input": "2024-11-05T03:02:49.136078Z",
+     "iopub.status.busy": "2024-11-05T03:02:49.135906Z",
+     "iopub.status.idle": "2024-11-05T03:02:49.175573Z",
+     "shell.execute_reply": "2024-11-05T03:02:49.175068Z"
     }
    },
    "outputs": [
@@ -5019,43 +5027,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397818</th>\n",
-       "      <td>5.439</td>\n",
+       "      <th>417961</th>\n",
+       "      <td>5.5</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>5.439 milligram / liter</td>\n",
+       "      <td>5.5 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397926</th>\n",
-       "      <td>5.347</td>\n",
+       "      <th>418005</th>\n",
+       "      <td>4.4</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>5.347 milligram / liter</td>\n",
+       "      <td>4.4 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397946</th>\n",
-       "      <td>3.424</td>\n",
+       "      <th>418029</th>\n",
+       "      <td>5.647</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>3.424 milligram / liter</td>\n",
+       "      <td>5.647 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398001</th>\n",
-       "      <td>6.301</td>\n",
+       "      <th>418083</th>\n",
+       "      <td>3.6</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>6.301 milligram / liter</td>\n",
+       "      <td>3.6 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398024</th>\n",
-       "      <td>4.297</td>\n",
+       "      <th>418170</th>\n",
+       "      <td>13.0</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>4.297 milligram / liter</td>\n",
+       "      <td>13.0 milligram / liter</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>4802 rows × 4 columns</p>\n",
+       "<p>4950 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -5066,11 +5074,11 @@
        "296                   1.0                          mg/L     NaN   \n",
        "315                   2.6                          mg/L     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "397818              5.439                          mg/L     NaN   \n",
-       "397926              5.347                          mg/L     NaN   \n",
-       "397946              3.424                          mg/L     NaN   \n",
-       "398001              6.301                          mg/L     NaN   \n",
-       "398024              4.297                          mg/L     NaN   \n",
+       "417961                5.5                          mg/L     NaN   \n",
+       "418005                4.4                          mg/L     NaN   \n",
+       "418029              5.647                          mg/L     NaN   \n",
+       "418083                3.6                          mg/L     NaN   \n",
+       "418170               13.0                          mg/L     NaN   \n",
        "\n",
        "                         Carbon  \n",
        "127       2.6 milligram / liter  \n",
@@ -5079,13 +5087,13 @@
        "296       1.0 milligram / liter  \n",
        "315       2.6 milligram / liter  \n",
        "...                         ...  \n",
-       "397818  5.439 milligram / liter  \n",
-       "397926  5.347 milligram / liter  \n",
-       "397946  3.424 milligram / liter  \n",
-       "398001  6.301 milligram / liter  \n",
-       "398024  4.297 milligram / liter  \n",
+       "417961    5.5 milligram / liter  \n",
+       "418005    4.4 milligram / liter  \n",
+       "418029  5.647 milligram / liter  \n",
+       "418083    3.6 milligram / liter  \n",
+       "418170   13.0 milligram / liter  \n",
        "\n",
-       "[4802 rows x 4 columns]"
+       "[4950 rows x 4 columns]"
       ]
      },
      "execution_count": 58,
@@ -5110,10 +5118,10 @@
    "execution_count": 59,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:06.342848Z",
-     "iopub.status.busy": "2024-09-05T03:02:06.342678Z",
-     "iopub.status.idle": "2024-09-05T03:02:08.958713Z",
-     "shell.execute_reply": "2024-09-05T03:02:08.958151Z"
+     "iopub.execute_input": "2024-11-05T03:02:49.177251Z",
+     "iopub.status.busy": "2024-11-05T03:02:49.177080Z",
+     "iopub.status.idle": "2024-11-05T03:02:52.202745Z",
+     "shell.execute_reply": "2024-11-05T03:02:52.202140Z"
     }
    },
    "outputs": [
@@ -5122,23 +5130,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    38014.000000\n",
-      "mean         9.049020\n",
-      "std        210.608888\n",
+      "count    40718.000000\n",
+      "mean         8.926798\n",
+      "std        203.564637\n",
       "min         -0.840000\n",
-      "25%          1.430000\n",
-      "50%          2.510000\n",
-      "75%          4.810000\n",
+      "25%          1.420000\n",
+      "50%          2.590000\n",
+      "75%          4.900000\n",
       "max      32342.452300\n",
       "dtype: float64\n",
-      "Unusable results: 167\n",
+      "Unusable results: 596\n",
       "Usable results with inferred units: 10\n",
-      "Results outside threshold (0.0 to 1272.7023456013437): 45\n"
+      "Results outside threshold (0.0 to 1230.3146187462137): 45\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -5157,10 +5165,10 @@
    "execution_count": 60,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:08.960867Z",
-     "iopub.status.busy": "2024-09-05T03:02:08.960588Z",
-     "iopub.status.idle": "2024-09-05T03:02:09.028591Z",
-     "shell.execute_reply": "2024-09-05T03:02:09.028011Z"
+     "iopub.execute_input": "2024-11-05T03:02:52.204863Z",
+     "iopub.status.busy": "2024-11-05T03:02:52.204389Z",
+     "iopub.status.idle": "2024-11-05T03:02:52.289076Z",
+     "shell.execute_reply": "2024-11-05T03:02:52.288585Z"
     }
    },
    "outputs": [
@@ -5235,43 +5243,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397925</th>\n",
-       "      <td>2.6</td>\n",
+       "      <th>418116</th>\n",
+       "      <td>1.57</td>\n",
        "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>2.6 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>1.57 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397943</th>\n",
-       "      <td>1.7</td>\n",
+       "      <th>418149</th>\n",
+       "      <td>0.21</td>\n",
        "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>1.7 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>0.21 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397970</th>\n",
-       "      <td>3.9</td>\n",
+       "      <th>418153</th>\n",
+       "      <td>39.0</td>\n",
        "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>3.9 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>39.0 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397989</th>\n",
-       "      <td>2.1</td>\n",
+       "      <th>418171</th>\n",
+       "      <td>13.0</td>\n",
        "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>2.1 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>13.0 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397990</th>\n",
-       "      <td>7.9</td>\n",
+       "      <th>418182</th>\n",
+       "      <td>2.0</td>\n",
        "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.9 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>2.0 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>38181 rows × 4 columns</p>\n",
+       "<p>41314 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -5282,11 +5290,11 @@
        "90                    1.4                           NTU     NaN   \n",
        "92                    4.7                           NTU     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "397925                2.6                           NTU     NaN   \n",
-       "397943                1.7                           NTU     NaN   \n",
-       "397970                3.9                           NTU     NaN   \n",
-       "397989                2.1                           NTU     NaN   \n",
-       "397990                7.9                           NTU     NaN   \n",
+       "418116               1.57                           NTU     NaN   \n",
+       "418149               0.21                           NTU     NaN   \n",
+       "418153               39.0                           NTU     NaN   \n",
+       "418171               13.0                           NTU     NaN   \n",
+       "418182                2.0                           NTU     NaN   \n",
        "\n",
        "                                 Turbidity  \n",
        "14       0.0 Nephelometric_Turbidity_Units  \n",
@@ -5295,13 +5303,13 @@
        "90       1.4 Nephelometric_Turbidity_Units  \n",
        "92       4.7 Nephelometric_Turbidity_Units  \n",
        "...                                    ...  \n",
-       "397925   2.6 Nephelometric_Turbidity_Units  \n",
-       "397943   1.7 Nephelometric_Turbidity_Units  \n",
-       "397970   3.9 Nephelometric_Turbidity_Units  \n",
-       "397989   2.1 Nephelometric_Turbidity_Units  \n",
-       "397990   7.9 Nephelometric_Turbidity_Units  \n",
+       "418116  1.57 Nephelometric_Turbidity_Units  \n",
+       "418149  0.21 Nephelometric_Turbidity_Units  \n",
+       "418153  39.0 Nephelometric_Turbidity_Units  \n",
+       "418171  13.0 Nephelometric_Turbidity_Units  \n",
+       "418182   2.0 Nephelometric_Turbidity_Units  \n",
        "\n",
-       "[38181 rows x 4 columns]"
+       "[41314 rows x 4 columns]"
       ]
      },
      "execution_count": 60,
@@ -5326,10 +5334,10 @@
    "execution_count": 61,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:09.030956Z",
-     "iopub.status.busy": "2024-09-05T03:02:09.030500Z",
-     "iopub.status.idle": "2024-09-05T03:02:10.050851Z",
-     "shell.execute_reply": "2024-09-05T03:02:10.050241Z"
+     "iopub.execute_input": "2024-11-05T03:02:52.290993Z",
+     "iopub.status.busy": "2024-11-05T03:02:52.290644Z",
+     "iopub.status.idle": "2024-11-05T03:02:53.366056Z",
+     "shell.execute_reply": "2024-11-05T03:02:53.365513Z"
     }
    },
    "outputs": [],
@@ -5343,10 +5351,10 @@
    "execution_count": 62,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:10.053163Z",
-     "iopub.status.busy": "2024-09-05T03:02:10.053001Z",
-     "iopub.status.idle": "2024-09-05T03:02:10.442487Z",
-     "shell.execute_reply": "2024-09-05T03:02:10.441917Z"
+     "iopub.execute_input": "2024-11-05T03:02:53.367872Z",
+     "iopub.status.busy": "2024-11-05T03:02:53.367714Z",
+     "iopub.status.idle": "2024-11-05T03:02:53.828636Z",
+     "shell.execute_reply": "2024-11-05T03:02:53.828046Z"
     }
    },
    "outputs": [
@@ -5417,10 +5425,10 @@
    "execution_count": 63,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:10.444750Z",
-     "iopub.status.busy": "2024-09-05T03:02:10.444303Z",
-     "iopub.status.idle": "2024-09-05T03:02:14.082411Z",
-     "shell.execute_reply": "2024-09-05T03:02:14.081834Z"
+     "iopub.execute_input": "2024-11-05T03:02:53.830397Z",
+     "iopub.status.busy": "2024-11-05T03:02:53.830131Z",
+     "iopub.status.idle": "2024-11-05T03:02:56.946732Z",
+     "shell.execute_reply": "2024-11-05T03:02:56.946187Z"
     }
    },
    "outputs": [
@@ -5428,13 +5436,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2 Phosphorus sample fractions not in frac_dict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "2 Phosphorus sample fractions not in frac_dict\n",
       "2 Phosphorus sample fractions not in frac_dict found in expected domains, mapped to \"Other_Phosphorus\"\n"
      ]
     }
@@ -5456,10 +5458,10 @@
    "execution_count": 64,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:14.084572Z",
-     "iopub.status.busy": "2024-09-05T03:02:14.084266Z",
-     "iopub.status.idle": "2024-09-05T03:02:14.531227Z",
-     "shell.execute_reply": "2024-09-05T03:02:14.530658Z"
+     "iopub.execute_input": "2024-11-05T03:02:56.948802Z",
+     "iopub.status.busy": "2024-11-05T03:02:56.948476Z",
+     "iopub.status.idle": "2024-11-05T03:02:57.337606Z",
+     "shell.execute_reply": "2024-11-05T03:02:57.337032Z"
     }
    },
    "outputs": [
@@ -5534,43 +5536,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397821</th>\n",
-       "      <td>.487</td>\n",
+       "      <th>417926</th>\n",
+       "      <td>0.223</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397825</th>\n",
-       "      <td>.04</td>\n",
+       "      <th>417951</th>\n",
+       "      <td>0.032</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397835</th>\n",
-       "      <td>.091</td>\n",
+       "      <th>417985</th>\n",
+       "      <td>0.046</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397977</th>\n",
-       "      <td>.151</td>\n",
+       "      <th>417999</th>\n",
+       "      <td>0.007</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398007</th>\n",
-       "      <td>.107</td>\n",
+       "      <th>418140</th>\n",
+       "      <td>0.061</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5730 rows × 4 columns</p>\n",
+       "<p>6764 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -5581,13 +5583,13 @@
        "161                 0.003                          mg/L     NaN            NaN\n",
        "360                 0.002                          mg/L     NaN            NaN\n",
        "...                   ...                           ...     ...            ...\n",
-       "397821               .487                          mg/L     NaN            NaN\n",
-       "397825                .04                          mg/L     NaN            NaN\n",
-       "397835               .091                          mg/L     NaN            NaN\n",
-       "397977               .151                          mg/L     NaN            NaN\n",
-       "398007               .107                          mg/L     NaN            NaN\n",
+       "417926              0.223                          mg/L     NaN            NaN\n",
+       "417951              0.032                          mg/L     NaN            NaN\n",
+       "417985              0.046                          mg/L     NaN            NaN\n",
+       "417999              0.007                          mg/L     NaN            NaN\n",
+       "418140              0.061                          mg/L     NaN            NaN\n",
        "\n",
-       "[5730 rows x 4 columns]"
+       "[6764 rows x 4 columns]"
       ]
      },
      "execution_count": 64,
@@ -5606,10 +5608,10 @@
    "execution_count": 65,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:14.533438Z",
-     "iopub.status.busy": "2024-09-05T03:02:14.533116Z",
-     "iopub.status.idle": "2024-09-05T03:02:14.556949Z",
-     "shell.execute_reply": "2024-09-05T03:02:14.556370Z"
+     "iopub.execute_input": "2024-11-05T03:02:57.339316Z",
+     "iopub.status.busy": "2024-11-05T03:02:57.339150Z",
+     "iopub.status.idle": "2024-11-05T03:02:57.366041Z",
+     "shell.execute_reply": "2024-11-05T03:02:57.365476Z"
     }
    },
    "outputs": [
@@ -5684,43 +5686,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397821</th>\n",
-       "      <td>.487</td>\n",
+       "      <th>417926</th>\n",
+       "      <td>0.223</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397825</th>\n",
-       "      <td>.04</td>\n",
+       "      <th>417951</th>\n",
+       "      <td>0.032</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397835</th>\n",
-       "      <td>.091</td>\n",
+       "      <th>417985</th>\n",
+       "      <td>0.046</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397977</th>\n",
-       "      <td>.151</td>\n",
+       "      <th>417999</th>\n",
+       "      <td>0.007</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398007</th>\n",
-       "      <td>.107</td>\n",
+       "      <th>418140</th>\n",
+       "      <td>0.061</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5000 rows × 4 columns</p>\n",
+       "<p>6034 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -5731,13 +5733,13 @@
        "161                 0.003                          mg/L     NaN            NaN\n",
        "360                 0.002                          mg/L     NaN            NaN\n",
        "...                   ...                           ...     ...            ...\n",
-       "397821               .487                          mg/L     NaN            NaN\n",
-       "397825                .04                          mg/L     NaN            NaN\n",
-       "397835               .091                          mg/L     NaN            NaN\n",
-       "397977               .151                          mg/L     NaN            NaN\n",
-       "398007               .107                          mg/L     NaN            NaN\n",
+       "417926              0.223                          mg/L     NaN            NaN\n",
+       "417951              0.032                          mg/L     NaN            NaN\n",
+       "417985              0.046                          mg/L     NaN            NaN\n",
+       "417999              0.007                          mg/L     NaN            NaN\n",
+       "418140              0.061                          mg/L     NaN            NaN\n",
        "\n",
-       "[5000 rows x 4 columns]"
+       "[6034 rows x 4 columns]"
       ]
      },
      "execution_count": 65,
@@ -5755,10 +5757,10 @@
    "execution_count": 66,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:14.559076Z",
-     "iopub.status.busy": "2024-09-05T03:02:14.558764Z",
-     "iopub.status.idle": "2024-09-05T03:02:14.577215Z",
-     "shell.execute_reply": "2024-09-05T03:02:14.576676Z"
+     "iopub.execute_input": "2024-11-05T03:02:57.367950Z",
+     "iopub.status.busy": "2024-11-05T03:02:57.367636Z",
+     "iopub.status.idle": "2024-11-05T03:02:57.386635Z",
+     "shell.execute_reply": "2024-11-05T03:02:57.386070Z"
     }
    },
    "outputs": [
@@ -5805,287 +5807,287 @@
        "      <td>0.002 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14068</th>\n",
+       "      <th>23204</th>\n",
        "      <td>0.003</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.003 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>17235</th>\n",
+       "      <th>26371</th>\n",
        "      <td>0.019</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.019 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>56247</th>\n",
+       "      <th>56262</th>\n",
        "      <td>0.002</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.002 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>58089</th>\n",
+       "      <th>58130</th>\n",
        "      <td>0.017</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.017 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>73461</th>\n",
-       "      <td>0.021</td>\n",
+       "      <th>73542</th>\n",
+       "      <td>0.020</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.021 milligram / liter</td>\n",
+       "      <td>0.02 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>76250</th>\n",
-       "      <td>0.003</td>\n",
+       "      <th>79471</th>\n",
+       "      <td>0.002</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.003 milligram / liter</td>\n",
+       "      <td>0.002 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>101142</th>\n",
-       "      <td>0.020</td>\n",
+       "      <th>102000</th>\n",
+       "      <td>0.021</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.02 milligram / liter</td>\n",
+       "      <td>0.021 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>106490</th>\n",
-       "      <td>0.002</td>\n",
+       "      <th>104789</th>\n",
+       "      <td>0.003</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.002 milligram / liter</td>\n",
+       "      <td>0.003 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>155964</th>\n",
+       "      <th>157855</th>\n",
        "      <td>0.00806</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.00806 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>159273</th>\n",
+       "      <th>161164</th>\n",
        "      <td>0.000031</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>3.1e-05 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>160616</th>\n",
+       "      <th>162507</th>\n",
        "      <td>0.002542</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.002542 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>161132</th>\n",
+       "      <th>163023</th>\n",
        "      <td>0.00341</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.00341 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>200480</th>\n",
+       "      <th>205246</th>\n",
        "      <td>0.00372</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.00372 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>202494</th>\n",
+       "      <th>207260</th>\n",
        "      <td>0.00961</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.00961 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>203463</th>\n",
+       "      <th>208229</th>\n",
        "      <td>0.00124</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.00124 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>204221</th>\n",
+       "      <th>208987</th>\n",
        "      <td>0.01271</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.01271 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395702</th>\n",
+       "      <th>405824</th>\n",
        "      <td>0.030</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.03 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395711</th>\n",
+       "      <th>405833</th>\n",
        "      <td>0.033</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.033 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395714</th>\n",
+       "      <th>405836</th>\n",
        "      <td>0.024</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.024 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395720</th>\n",
+       "      <th>405842</th>\n",
        "      <td>0.028</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.028 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395729</th>\n",
+       "      <th>405851</th>\n",
        "      <td>0.021</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.021 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395734</th>\n",
+       "      <th>405856</th>\n",
        "      <td>0.023</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.023 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395746</th>\n",
+       "      <th>405868</th>\n",
        "      <td>0.037</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.037 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395811</th>\n",
+       "      <th>408375</th>\n",
        "      <td>0.023</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.023 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395819</th>\n",
+       "      <th>408383</th>\n",
        "      <td>0.02</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.02 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395835</th>\n",
+       "      <th>408399</th>\n",
        "      <td>0.04</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.04 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395850</th>\n",
+       "      <th>408414</th>\n",
        "      <td>0.03</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.03 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395859</th>\n",
+       "      <th>408423</th>\n",
        "      <td>0.025</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.025 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395886</th>\n",
+       "      <th>408450</th>\n",
        "      <td>0.05</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.05 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395895</th>\n",
+       "      <th>408459</th>\n",
        "      <td>0.15</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.15 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>395915</th>\n",
+       "      <th>408479</th>\n",
        "      <td>0.03</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.03 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396032</th>\n",
+       "      <th>410908</th>\n",
        "      <td>0.02</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.02 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396054</th>\n",
+       "      <th>410930</th>\n",
        "      <td>0.07</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.07 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396062</th>\n",
+       "      <th>410938</th>\n",
        "      <td>0.08</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.08 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396077</th>\n",
+       "      <th>410953</th>\n",
        "      <td>0.02</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.02 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396097</th>\n",
+       "      <th>410973</th>\n",
        "      <td>0.02</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.02 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396109</th>\n",
+       "      <th>410985</th>\n",
        "      <td>0.04</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.04 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396129</th>\n",
+       "      <th>411005</th>\n",
        "      <td>0.02</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.02 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396142</th>\n",
+       "      <th>411018</th>\n",
        "      <td>0.05</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.05 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396416</th>\n",
+       "      <th>411138</th>\n",
        "      <td>0.03</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.03 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396423</th>\n",
+       "      <th>411145</th>\n",
        "      <td>0.05</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
@@ -6099,92 +6101,92 @@
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
        "3657                0.019                          mg/L     NaN   \n",
        "8220                0.002                          mg/L     NaN   \n",
-       "14068               0.003                          mg/L     NaN   \n",
-       "17235               0.019                          mg/L     NaN   \n",
-       "56247               0.002                          mg/L     NaN   \n",
-       "58089               0.017                          mg/L     NaN   \n",
-       "73461               0.021                          mg/L     NaN   \n",
-       "76250               0.003                          mg/L     NaN   \n",
-       "101142              0.020                          mg/L     NaN   \n",
-       "106490              0.002                          mg/L     NaN   \n",
-       "155964            0.00806                          mg/L     NaN   \n",
-       "159273           0.000031                          mg/L     NaN   \n",
-       "160616           0.002542                          mg/L     NaN   \n",
-       "161132            0.00341                          mg/L     NaN   \n",
-       "200480            0.00372                          mg/L     NaN   \n",
-       "202494            0.00961                          mg/L     NaN   \n",
-       "203463            0.00124                          mg/L     NaN   \n",
-       "204221            0.01271                          mg/L     NaN   \n",
-       "395702              0.030                     mg/l as P     NaN   \n",
-       "395711              0.033                     mg/l as P     NaN   \n",
-       "395714              0.024                     mg/l as P     NaN   \n",
-       "395720              0.028                     mg/l as P     NaN   \n",
-       "395729              0.021                     mg/l as P     NaN   \n",
-       "395734              0.023                     mg/l as P     NaN   \n",
-       "395746              0.037                     mg/l as P     NaN   \n",
-       "395811              0.023                     mg/l as P     NaN   \n",
-       "395819               0.02                     mg/l as P     NaN   \n",
-       "395835               0.04                     mg/l as P     NaN   \n",
-       "395850               0.03                     mg/l as P     NaN   \n",
-       "395859              0.025                     mg/l as P     NaN   \n",
-       "395886               0.05                     mg/l as P     NaN   \n",
-       "395895               0.15                     mg/l as P     NaN   \n",
-       "395915               0.03                     mg/l as P     NaN   \n",
-       "396032               0.02                     mg/l as P     NaN   \n",
-       "396054               0.07                     mg/l as P     NaN   \n",
-       "396062               0.08                     mg/l as P     NaN   \n",
-       "396077               0.02                     mg/l as P     NaN   \n",
-       "396097               0.02                     mg/l as P     NaN   \n",
-       "396109               0.04                     mg/l as P     NaN   \n",
-       "396129               0.02                     mg/l as P     NaN   \n",
-       "396142               0.05                     mg/l as P     NaN   \n",
-       "396416               0.03                     mg/l as P     NaN   \n",
-       "396423               0.05                     mg/l as P     NaN   \n",
+       "23204               0.003                          mg/L     NaN   \n",
+       "26371               0.019                          mg/L     NaN   \n",
+       "56262               0.002                          mg/L     NaN   \n",
+       "58130               0.017                          mg/L     NaN   \n",
+       "73542               0.020                          mg/L     NaN   \n",
+       "79471               0.002                          mg/L     NaN   \n",
+       "102000              0.021                          mg/L     NaN   \n",
+       "104789              0.003                          mg/L     NaN   \n",
+       "157855            0.00806                          mg/L     NaN   \n",
+       "161164           0.000031                          mg/L     NaN   \n",
+       "162507           0.002542                          mg/L     NaN   \n",
+       "163023            0.00341                          mg/L     NaN   \n",
+       "205246            0.00372                          mg/L     NaN   \n",
+       "207260            0.00961                          mg/L     NaN   \n",
+       "208229            0.00124                          mg/L     NaN   \n",
+       "208987            0.01271                          mg/L     NaN   \n",
+       "405824              0.030                     mg/l as P     NaN   \n",
+       "405833              0.033                     mg/l as P     NaN   \n",
+       "405836              0.024                     mg/l as P     NaN   \n",
+       "405842              0.028                     mg/l as P     NaN   \n",
+       "405851              0.021                     mg/l as P     NaN   \n",
+       "405856              0.023                     mg/l as P     NaN   \n",
+       "405868              0.037                     mg/l as P     NaN   \n",
+       "408375              0.023                     mg/l as P     NaN   \n",
+       "408383               0.02                     mg/l as P     NaN   \n",
+       "408399               0.04                     mg/l as P     NaN   \n",
+       "408414               0.03                     mg/l as P     NaN   \n",
+       "408423              0.025                     mg/l as P     NaN   \n",
+       "408450               0.05                     mg/l as P     NaN   \n",
+       "408459               0.15                     mg/l as P     NaN   \n",
+       "408479               0.03                     mg/l as P     NaN   \n",
+       "410908               0.02                     mg/l as P     NaN   \n",
+       "410930               0.07                     mg/l as P     NaN   \n",
+       "410938               0.08                     mg/l as P     NaN   \n",
+       "410953               0.02                     mg/l as P     NaN   \n",
+       "410973               0.02                     mg/l as P     NaN   \n",
+       "410985               0.04                     mg/l as P     NaN   \n",
+       "411005               0.02                     mg/l as P     NaN   \n",
+       "411018               0.05                     mg/l as P     NaN   \n",
+       "411138               0.03                     mg/l as P     NaN   \n",
+       "411145               0.05                     mg/l as P     NaN   \n",
        "\n",
        "                    TDP_Phosphorus  \n",
        "3657       0.019 milligram / liter  \n",
        "8220       0.002 milligram / liter  \n",
-       "14068      0.003 milligram / liter  \n",
-       "17235      0.019 milligram / liter  \n",
-       "56247      0.002 milligram / liter  \n",
-       "58089      0.017 milligram / liter  \n",
-       "73461      0.021 milligram / liter  \n",
-       "76250      0.003 milligram / liter  \n",
-       "101142      0.02 milligram / liter  \n",
-       "106490     0.002 milligram / liter  \n",
-       "155964   0.00806 milligram / liter  \n",
-       "159273   3.1e-05 milligram / liter  \n",
-       "160616  0.002542 milligram / liter  \n",
-       "161132   0.00341 milligram / liter  \n",
-       "200480   0.00372 milligram / liter  \n",
-       "202494   0.00961 milligram / liter  \n",
-       "203463   0.00124 milligram / liter  \n",
-       "204221   0.01271 milligram / liter  \n",
-       "395702      0.03 milligram / liter  \n",
-       "395711     0.033 milligram / liter  \n",
-       "395714     0.024 milligram / liter  \n",
-       "395720     0.028 milligram / liter  \n",
-       "395729     0.021 milligram / liter  \n",
-       "395734     0.023 milligram / liter  \n",
-       "395746     0.037 milligram / liter  \n",
-       "395811     0.023 milligram / liter  \n",
-       "395819      0.02 milligram / liter  \n",
-       "395835      0.04 milligram / liter  \n",
-       "395850      0.03 milligram / liter  \n",
-       "395859     0.025 milligram / liter  \n",
-       "395886      0.05 milligram / liter  \n",
-       "395895      0.15 milligram / liter  \n",
-       "395915      0.03 milligram / liter  \n",
-       "396032      0.02 milligram / liter  \n",
-       "396054      0.07 milligram / liter  \n",
-       "396062      0.08 milligram / liter  \n",
-       "396077      0.02 milligram / liter  \n",
-       "396097      0.02 milligram / liter  \n",
-       "396109      0.04 milligram / liter  \n",
-       "396129      0.02 milligram / liter  \n",
-       "396142      0.05 milligram / liter  \n",
-       "396416      0.03 milligram / liter  \n",
-       "396423      0.05 milligram / liter  "
+       "23204      0.003 milligram / liter  \n",
+       "26371      0.019 milligram / liter  \n",
+       "56262      0.002 milligram / liter  \n",
+       "58130      0.017 milligram / liter  \n",
+       "73542       0.02 milligram / liter  \n",
+       "79471      0.002 milligram / liter  \n",
+       "102000     0.021 milligram / liter  \n",
+       "104789     0.003 milligram / liter  \n",
+       "157855   0.00806 milligram / liter  \n",
+       "161164   3.1e-05 milligram / liter  \n",
+       "162507  0.002542 milligram / liter  \n",
+       "163023   0.00341 milligram / liter  \n",
+       "205246   0.00372 milligram / liter  \n",
+       "207260   0.00961 milligram / liter  \n",
+       "208229   0.00124 milligram / liter  \n",
+       "208987   0.01271 milligram / liter  \n",
+       "405824      0.03 milligram / liter  \n",
+       "405833     0.033 milligram / liter  \n",
+       "405836     0.024 milligram / liter  \n",
+       "405842     0.028 milligram / liter  \n",
+       "405851     0.021 milligram / liter  \n",
+       "405856     0.023 milligram / liter  \n",
+       "405868     0.037 milligram / liter  \n",
+       "408375     0.023 milligram / liter  \n",
+       "408383      0.02 milligram / liter  \n",
+       "408399      0.04 milligram / liter  \n",
+       "408414      0.03 milligram / liter  \n",
+       "408423     0.025 milligram / liter  \n",
+       "408450      0.05 milligram / liter  \n",
+       "408459      0.15 milligram / liter  \n",
+       "408479      0.03 milligram / liter  \n",
+       "410908      0.02 milligram / liter  \n",
+       "410930      0.07 milligram / liter  \n",
+       "410938      0.08 milligram / liter  \n",
+       "410953      0.02 milligram / liter  \n",
+       "410973      0.02 milligram / liter  \n",
+       "410985      0.04 milligram / liter  \n",
+       "411005      0.02 milligram / liter  \n",
+       "411018      0.05 milligram / liter  \n",
+       "411138      0.03 milligram / liter  \n",
+       "411145      0.05 milligram / liter  "
       ]
      },
      "execution_count": 66,
@@ -6202,10 +6204,10 @@
    "execution_count": 67,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:14.579150Z",
-     "iopub.status.busy": "2024-09-05T03:02:14.578861Z",
-     "iopub.status.idle": "2024-09-05T03:02:14.595967Z",
-     "shell.execute_reply": "2024-09-05T03:02:14.595527Z"
+     "iopub.execute_input": "2024-11-05T03:02:57.388284Z",
+     "iopub.status.busy": "2024-11-05T03:02:57.388095Z",
+     "iopub.status.idle": "2024-11-05T03:02:57.405941Z",
+     "shell.execute_reply": "2024-11-05T03:02:57.405501Z"
     }
    },
    "outputs": [
@@ -6238,35 +6240,35 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>25162</th>\n",
+       "      <th>10308</th>\n",
        "      <td>.5</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>25272</th>\n",
+       "      <th>10418</th>\n",
        "      <td>.036</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>26600</th>\n",
+       "      <th>11746</th>\n",
        "      <td>.089</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>27626</th>\n",
+       "      <th>12772</th>\n",
        "      <td>.017</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>28729</th>\n",
+       "      <th>13875</th>\n",
        "      <td>.067</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -6280,35 +6282,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397017</th>\n",
+       "      <th>414993</th>\n",
        "      <td>.18</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397028</th>\n",
+       "      <th>415004</th>\n",
        "      <td>.25</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397040</th>\n",
+       "      <th>415016</th>\n",
        "      <td>.16</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397043</th>\n",
+       "      <th>415019</th>\n",
        "      <td>.18</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397052</th>\n",
+       "      <th>415028</th>\n",
        "      <td>.31</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -6321,17 +6323,17 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag TDP_Phosphorus\n",
-       "25162                  .5                          mg/L     NaN            NaN\n",
-       "25272                .036                          mg/L     NaN            NaN\n",
-       "26600                .089                          mg/L     NaN            NaN\n",
-       "27626                .017                          mg/L     NaN            NaN\n",
-       "28729                .067                          mg/L     NaN            NaN\n",
+       "10308                  .5                          mg/L     NaN            NaN\n",
+       "10418                .036                          mg/L     NaN            NaN\n",
+       "11746                .089                          mg/L     NaN            NaN\n",
+       "12772                .017                          mg/L     NaN            NaN\n",
+       "13875                .067                          mg/L     NaN            NaN\n",
        "...                   ...                           ...     ...            ...\n",
-       "397017                .18                          mg/L     NaN            NaN\n",
-       "397028                .25                          mg/L     NaN            NaN\n",
-       "397040                .16                          mg/L     NaN            NaN\n",
-       "397043                .18                          mg/L     NaN            NaN\n",
-       "397052                .31                          mg/L     NaN            NaN\n",
+       "414993                .18                          mg/L     NaN            NaN\n",
+       "415004                .25                          mg/L     NaN            NaN\n",
+       "415016                .16                          mg/L     NaN            NaN\n",
+       "415019                .18                          mg/L     NaN            NaN\n",
+       "415028                .31                          mg/L     NaN            NaN\n",
        "\n",
        "[687 rows x 4 columns]"
       ]
@@ -6372,10 +6374,10 @@
    "execution_count": 68,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:14.597963Z",
-     "iopub.status.busy": "2024-09-05T03:02:14.597782Z",
-     "iopub.status.idle": "2024-09-05T03:02:20.558032Z",
-     "shell.execute_reply": "2024-09-05T03:02:20.557526Z"
+     "iopub.execute_input": "2024-11-05T03:02:57.407533Z",
+     "iopub.status.busy": "2024-11-05T03:02:57.407370Z",
+     "iopub.status.idle": "2024-11-05T03:03:03.522500Z",
+     "shell.execute_reply": "2024-11-05T03:03:03.522025Z"
     }
    },
    "outputs": [
@@ -6383,7 +6385,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -6391,9 +6393,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -6411,7 +6413,7 @@
       "75%         33.000000\n",
       "max      33000.000000\n",
       "dtype: float64\n",
-      "Unusable results: 40551\n",
+      "Unusable results: 40571\n",
       "Usable results with inferred units: 0\n",
       "Results outside threshold (0.0 to 2738.5735941387825): 6\n"
      ]
@@ -6437,10 +6439,10 @@
    "execution_count": 69,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:20.560255Z",
-     "iopub.status.busy": "2024-09-05T03:02:20.559928Z",
-     "iopub.status.idle": "2024-09-05T03:02:20.636374Z",
-     "shell.execute_reply": "2024-09-05T03:02:20.635832Z"
+     "iopub.execute_input": "2024-11-05T03:03:03.524258Z",
+     "iopub.status.busy": "2024-11-05T03:03:03.524057Z",
+     "iopub.status.idle": "2024-11-05T03:03:03.600942Z",
+     "shell.execute_reply": "2024-11-05T03:03:03.600353Z"
     }
    },
    "outputs": [
@@ -6515,43 +6517,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396739</th>\n",
-       "      <td>145</td>\n",
+       "      <th>417623</th>\n",
+       "      <td>180</td>\n",
        "      <td>cfu/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396765</th>\n",
-       "      <td>317</td>\n",
+       "      <th>417715</th>\n",
+       "      <td>74</td>\n",
        "      <td>cfu/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396787</th>\n",
-       "      <td>60</td>\n",
+       "      <th>417717</th>\n",
+       "      <td>2</td>\n",
        "      <td>cfu/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396912</th>\n",
-       "      <td>600</td>\n",
+       "      <th>417770</th>\n",
+       "      <td>170</td>\n",
        "      <td>cfu/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396914</th>\n",
-       "      <td>245</td>\n",
+       "      <th>418104</th>\n",
+       "      <td>140.0</td>\n",
        "      <td>cfu/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>50586 rows × 4 columns</p>\n",
+       "<p>50606 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -6562,11 +6564,11 @@
        "9             *Non-detect                           NaN   \n",
        "28                     40                     cfu/100mL   \n",
        "...                   ...                           ...   \n",
-       "396739                145                     cfu/100mL   \n",
-       "396765                317                     cfu/100mL   \n",
-       "396787                 60                     cfu/100mL   \n",
-       "396912                600                     cfu/100mL   \n",
-       "396914                245                     cfu/100mL   \n",
+       "417623                180                     cfu/100mL   \n",
+       "417715                 74                     cfu/100mL   \n",
+       "417717                  2                     cfu/100mL   \n",
+       "417770                170                     cfu/100mL   \n",
+       "418104              140.0                     cfu/100mL   \n",
        "\n",
        "                                                  QA_flag Fecal_Coliform  \n",
        "1                                                     NaN            NaN  \n",
@@ -6575,13 +6577,13 @@
        "9       ResultMeasureValue: \"*Non-detect\" result canno...            NaN  \n",
        "28                                                    NaN            NaN  \n",
        "...                                                   ...            ...  \n",
-       "396739                                                NaN            NaN  \n",
-       "396765                                                NaN            NaN  \n",
-       "396787                                                NaN            NaN  \n",
-       "396912                                                NaN            NaN  \n",
-       "396914                                                NaN            NaN  \n",
+       "417623                                                NaN            NaN  \n",
+       "417715                                                NaN            NaN  \n",
+       "417717                                                NaN            NaN  \n",
+       "417770                                                NaN            NaN  \n",
+       "418104                                                NaN            NaN  \n",
        "\n",
-       "[50586 rows x 4 columns]"
+       "[50606 rows x 4 columns]"
       ]
      },
      "execution_count": 69,
@@ -6606,10 +6608,10 @@
    "execution_count": 70,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:20.638638Z",
-     "iopub.status.busy": "2024-09-05T03:02:20.638280Z",
-     "iopub.status.idle": "2024-09-05T03:02:22.964327Z",
-     "shell.execute_reply": "2024-09-05T03:02:22.963765Z"
+     "iopub.execute_input": "2024-11-05T03:03:03.602757Z",
+     "iopub.status.busy": "2024-11-05T03:03:03.602446Z",
+     "iopub.status.idle": "2024-11-05T03:03:06.050769Z",
+     "shell.execute_reply": "2024-11-05T03:03:06.050162Z"
     }
    },
    "outputs": [
@@ -6617,11 +6619,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -6639,7 +6641,7 @@
       "75%      1000.000000\n",
       "max      1700.000000\n",
       "dtype: float64\n",
-      "Unusable results: 7974\n",
+      "Unusable results: 8930\n",
       "Usable results with inferred units: 0\n",
       "Results outside threshold (0.0 to 4162.183198738116): 0\n"
      ]
@@ -6665,10 +6667,10 @@
    "execution_count": 71,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:22.967051Z",
-     "iopub.status.busy": "2024-09-05T03:02:22.966725Z",
-     "iopub.status.idle": "2024-09-05T03:02:23.010912Z",
-     "shell.execute_reply": "2024-09-05T03:02:23.010361Z"
+     "iopub.execute_input": "2024-11-05T03:03:06.052717Z",
+     "iopub.status.busy": "2024-11-05T03:03:06.052546Z",
+     "iopub.status.idle": "2024-11-05T03:03:06.099082Z",
+     "shell.execute_reply": "2024-11-05T03:03:06.098560Z"
     }
    },
    "outputs": [
@@ -6743,43 +6745,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397811</th>\n",
-       "      <td>28</td>\n",
+       "      <th>417888</th>\n",
+       "      <td>98.0</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397826</th>\n",
-       "      <td>390</td>\n",
+       "      <th>417944</th>\n",
+       "      <td>20.0</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397838</th>\n",
-       "      <td>150</td>\n",
+       "      <th>418059</th>\n",
+       "      <td>93.0</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397898</th>\n",
-       "      <td>150</td>\n",
+       "      <th>418112</th>\n",
+       "      <td>63.0</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>397907</th>\n",
-       "      <td>53</td>\n",
+       "      <th>418174</th>\n",
+       "      <td>645.0</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>7996 rows × 4 columns</p>\n",
+       "<p>8952 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -6790,13 +6792,13 @@
        "99       33.3333333333333                     cfu/100mL     NaN    NaN\n",
        "136                     0                     cfu/100mL     NaN    NaN\n",
        "...                   ...                           ...     ...    ...\n",
-       "397811                 28                     MPN/100mL     NaN    NaN\n",
-       "397826                390                     MPN/100mL     NaN    NaN\n",
-       "397838                150                     MPN/100mL     NaN    NaN\n",
-       "397898                150                     MPN/100mL     NaN    NaN\n",
-       "397907                 53                     MPN/100mL     NaN    NaN\n",
+       "417888               98.0                     MPN/100mL     NaN    NaN\n",
+       "417944               20.0                     MPN/100mL     NaN    NaN\n",
+       "418059               93.0                     MPN/100mL     NaN    NaN\n",
+       "418112               63.0                     MPN/100mL     NaN    NaN\n",
+       "418174              645.0                     MPN/100mL     NaN    NaN\n",
        "\n",
-       "[7996 rows x 4 columns]"
+       "[8952 rows x 4 columns]"
       ]
      },
      "execution_count": 71,
@@ -6842,10 +6844,10 @@
    "execution_count": 72,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:23.013298Z",
-     "iopub.status.busy": "2024-09-05T03:02:23.012960Z",
-     "iopub.status.idle": "2024-09-05T03:02:23.015752Z",
-     "shell.execute_reply": "2024-09-05T03:02:23.015220Z"
+     "iopub.execute_input": "2024-11-05T03:03:06.100970Z",
+     "iopub.status.busy": "2024-11-05T03:03:06.100794Z",
+     "iopub.status.idle": "2024-11-05T03:03:06.103236Z",
+     "shell.execute_reply": "2024-11-05T03:03:06.102802Z"
     }
    },
    "outputs": [],
@@ -6858,10 +6860,10 @@
    "execution_count": 73,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:23.017714Z",
-     "iopub.status.busy": "2024-09-05T03:02:23.017415Z",
-     "iopub.status.idle": "2024-09-05T03:02:23.051025Z",
-     "shell.execute_reply": "2024-09-05T03:02:23.050557Z"
+     "iopub.execute_input": "2024-11-05T03:03:06.104712Z",
+     "iopub.status.busy": "2024-11-05T03:03:06.104553Z",
+     "iopub.status.idle": "2024-11-05T03:03:06.138046Z",
+     "shell.execute_reply": "2024-11-05T03:03:06.137548Z"
     }
    },
    "outputs": [
@@ -6870,8 +6872,8 @@
      "output_type": "stream",
      "text": [
       "Range: 0.0 to 37782.0\n",
-      "Results: 68190 \n",
-      "Mean: 16.236780567532055 PSU\n"
+      "Results: 71623 \n",
+      "Mean: 16.00398961506825 PSU\n"
      ]
     }
    ],
@@ -6888,10 +6890,10 @@
    "execution_count": 74,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:23.053104Z",
-     "iopub.status.busy": "2024-09-05T03:02:23.052770Z",
-     "iopub.status.idle": "2024-09-05T03:02:23.058863Z",
-     "shell.execute_reply": "2024-09-05T03:02:23.058311Z"
+     "iopub.execute_input": "2024-11-05T03:03:06.139662Z",
+     "iopub.status.busy": "2024-11-05T03:03:06.139496Z",
+     "iopub.status.idle": "2024-11-05T03:03:06.145817Z",
+     "shell.execute_reply": "2024-11-05T03:03:06.145278Z"
     }
    },
    "outputs": [
@@ -6923,10 +6925,10 @@
    "execution_count": 75,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:23.060972Z",
-     "iopub.status.busy": "2024-09-05T03:02:23.060671Z",
-     "iopub.status.idle": "2024-09-05T03:02:23.063396Z",
-     "shell.execute_reply": "2024-09-05T03:02:23.062843Z"
+     "iopub.execute_input": "2024-11-05T03:03:06.147500Z",
+     "iopub.status.busy": "2024-11-05T03:03:06.147333Z",
+     "iopub.status.idle": "2024-11-05T03:03:06.149725Z",
+     "shell.execute_reply": "2024-11-05T03:03:06.149296Z"
     }
    },
    "outputs": [],
@@ -6940,10 +6942,10 @@
    "execution_count": 76,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:23.065345Z",
-     "iopub.status.busy": "2024-09-05T03:02:23.065182Z",
-     "iopub.status.idle": "2024-09-05T03:02:31.796870Z",
-     "shell.execute_reply": "2024-09-05T03:02:31.796382Z"
+     "iopub.execute_input": "2024-11-05T03:03:06.151414Z",
+     "iopub.status.busy": "2024-11-05T03:03:06.151104Z",
+     "iopub.status.idle": "2024-11-05T03:03:16.014028Z",
+     "shell.execute_reply": "2024-11-05T03:03:16.013519Z"
     }
    },
    "outputs": [
@@ -6976,14 +6978,14 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>12623</th>\n",
+       "      <th>21759</th>\n",
        "      <td>15030</td>\n",
        "      <td>ppt</td>\n",
        "      <td>NaN</td>\n",
        "      <td>15030.0 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22079</th>\n",
+       "      <th>31215</th>\n",
        "      <td>322</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -6997,14 +6999,14 @@
        "      <td>2150.0 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>69507</th>\n",
+       "      <th>69537</th>\n",
        "      <td>37782</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
        "      <td>37782.0 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>142665</th>\n",
+       "      <th>143798</th>\n",
        "      <td>2190</td>\n",
        "      <td>ppt</td>\n",
        "      <td>NaN</td>\n",
@@ -7016,18 +7018,18 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "12623               15030                           ppt     NaN   \n",
-       "22079                 322                          ppth     NaN   \n",
+       "21759               15030                           ppt     NaN   \n",
+       "31215                 322                          ppth     NaN   \n",
        "42633                2150                          ppth     NaN   \n",
-       "69507               37782                          ppth     NaN   \n",
-       "142665               2190                           ppt     NaN   \n",
+       "69537               37782                          ppth     NaN   \n",
+       "143798               2190                           ppt     NaN   \n",
        "\n",
        "                                Salinity  \n",
-       "12623   15030.0 Practical_Salinity_Units  \n",
-       "22079     322.0 Practical_Salinity_Units  \n",
+       "21759   15030.0 Practical_Salinity_Units  \n",
+       "31215     322.0 Practical_Salinity_Units  \n",
        "42633    2150.0 Practical_Salinity_Units  \n",
-       "69507   37782.0 Practical_Salinity_Units  \n",
-       "142665   2190.0 Practical_Salinity_Units  "
+       "69537   37782.0 Practical_Salinity_Units  \n",
+       "143798   2190.0 Practical_Salinity_Units  "
       ]
      },
      "execution_count": 76,
@@ -7054,10 +7056,10 @@
    "execution_count": 77,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:31.798926Z",
-     "iopub.status.busy": "2024-09-05T03:02:31.798753Z",
-     "iopub.status.idle": "2024-09-05T03:02:31.801151Z",
-     "shell.execute_reply": "2024-09-05T03:02:31.800676Z"
+     "iopub.execute_input": "2024-11-05T03:03:16.015819Z",
+     "iopub.status.busy": "2024-11-05T03:03:16.015501Z",
+     "iopub.status.idle": "2024-11-05T03:03:16.017955Z",
+     "shell.execute_reply": "2024-11-05T03:03:16.017536Z"
     }
    },
    "outputs": [],
@@ -7070,10 +7072,10 @@
    "execution_count": 78,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:02:31.803099Z",
-     "iopub.status.busy": "2024-09-05T03:02:31.802777Z",
-     "iopub.status.idle": "2024-09-05T03:03:09.593681Z",
-     "shell.execute_reply": "2024-09-05T03:03:09.593135Z"
+     "iopub.execute_input": "2024-11-05T03:03:16.019555Z",
+     "iopub.status.busy": "2024-11-05T03:03:16.019214Z",
+     "iopub.status.idle": "2024-11-05T03:03:53.956062Z",
+     "shell.execute_reply": "2024-11-05T03:03:53.955507Z"
     }
    },
    "outputs": [],
@@ -7090,10 +7092,10 @@
    "execution_count": 79,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:09.595923Z",
-     "iopub.status.busy": "2024-09-05T03:03:09.595767Z",
-     "iopub.status.idle": "2024-09-05T03:03:13.058951Z",
-     "shell.execute_reply": "2024-09-05T03:03:13.058352Z"
+     "iopub.execute_input": "2024-11-05T03:03:53.958133Z",
+     "iopub.status.busy": "2024-11-05T03:03:53.957869Z",
+     "iopub.status.idle": "2024-11-05T03:03:57.736070Z",
+     "shell.execute_reply": "2024-11-05T03:03:57.735554Z"
     }
    },
    "outputs": [
@@ -7152,7 +7154,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9784</th>\n",
+       "      <th>18920</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7163,7 +7165,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>18078</th>\n",
+       "      <th>27214</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7196,9 +7198,9 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>307362</th>\n",
+       "      <th>417330</th>\n",
        "      <td>0</td>\n",
-       "      <td>ppth</td>\n",
+       "      <td>PSS</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
        "      <td>NaN</td>\n",
@@ -7207,9 +7209,9 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>307368</th>\n",
+       "      <th>417341</th>\n",
        "      <td>0</td>\n",
-       "      <td>ppth</td>\n",
+       "      <td>PSS</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
        "      <td>NaN</td>\n",
@@ -7218,9 +7220,9 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>345344</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>ppth</td>\n",
+       "      <th>417351</th>\n",
+       "      <td>0</td>\n",
+       "      <td>PSS</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
        "      <td>NaN</td>\n",
@@ -7229,9 +7231,9 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>345565</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>ppth</td>\n",
+       "      <th>417482</th>\n",
+       "      <td>0</td>\n",
+       "      <td>PSS</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
        "      <td>NaN</td>\n",
@@ -7240,9 +7242,9 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>360962</th>\n",
+       "      <th>417516</th>\n",
        "      <td>0</td>\n",
-       "      <td>ppth</td>\n",
+       "      <td>PSS</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.0 Practical_Salinity_Units</td>\n",
        "      <td>NaN</td>\n",
@@ -7252,76 +7254,76 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2324 rows × 8 columns</p>\n",
+       "<p>2909 rows × 8 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
        "2209                 0.00                          ppth     NaN   \n",
        "3786                 0.00                          ppth     NaN   \n",
-       "9784                  0.0                          ppth     NaN   \n",
-       "18078                 0.0                          ppth     NaN   \n",
+       "18920                 0.0                          ppth     NaN   \n",
+       "27214                 0.0                          ppth     NaN   \n",
        "32610                 0.0                          ppth     NaN   \n",
        "...                   ...                           ...     ...   \n",
-       "307362                  0                          ppth     NaN   \n",
-       "307368                  0                          ppth     NaN   \n",
-       "345344                0.0                          ppth     NaN   \n",
-       "345565                0.0                          ppth     NaN   \n",
-       "360962                  0                          ppth     NaN   \n",
+       "417330                  0                           PSS     NaN   \n",
+       "417341                  0                           PSS     NaN   \n",
+       "417351                  0                           PSS     NaN   \n",
+       "417482                  0                           PSS     NaN   \n",
+       "417516                  0                           PSS     NaN   \n",
        "\n",
        "                            Salinity ResultDetectionConditionText  \\\n",
        "2209    0.0 Practical_Salinity_Units                          NaN   \n",
        "3786    0.0 Practical_Salinity_Units                          NaN   \n",
-       "9784    0.0 Practical_Salinity_Units                          NaN   \n",
-       "18078   0.0 Practical_Salinity_Units                          NaN   \n",
+       "18920   0.0 Practical_Salinity_Units                          NaN   \n",
+       "27214   0.0 Practical_Salinity_Units                          NaN   \n",
        "32610   0.0 Practical_Salinity_Units                          NaN   \n",
        "...                              ...                          ...   \n",
-       "307362  0.0 Practical_Salinity_Units                          NaN   \n",
-       "307368  0.0 Practical_Salinity_Units                          NaN   \n",
-       "345344  0.0 Practical_Salinity_Units                          NaN   \n",
-       "345565  0.0 Practical_Salinity_Units                          NaN   \n",
-       "360962  0.0 Practical_Salinity_Units                          NaN   \n",
+       "417330  0.0 Practical_Salinity_Units                          NaN   \n",
+       "417341  0.0 Practical_Salinity_Units                          NaN   \n",
+       "417351  0.0 Practical_Salinity_Units                          NaN   \n",
+       "417482  0.0 Practical_Salinity_Units                          NaN   \n",
+       "417516  0.0 Practical_Salinity_Units                          NaN   \n",
        "\n",
        "       DetectionQuantitationLimitTypeName  \\\n",
        "2209                                  NaN   \n",
        "3786                                  NaN   \n",
-       "9784                                  NaN   \n",
-       "18078                                 NaN   \n",
+       "18920                                 NaN   \n",
+       "27214                                 NaN   \n",
        "32610                                 NaN   \n",
        "...                                   ...   \n",
-       "307362                                NaN   \n",
-       "307368                                NaN   \n",
-       "345344                                NaN   \n",
-       "345565                                NaN   \n",
-       "360962                                NaN   \n",
+       "417330                                NaN   \n",
+       "417341                                NaN   \n",
+       "417351                                NaN   \n",
+       "417482                                NaN   \n",
+       "417516                                NaN   \n",
        "\n",
        "        DetectionQuantitationLimitMeasure/MeasureValue  \\\n",
        "2209                                               NaN   \n",
        "3786                                               NaN   \n",
-       "9784                                               NaN   \n",
-       "18078                                              NaN   \n",
+       "18920                                              NaN   \n",
+       "27214                                              NaN   \n",
        "32610                                              NaN   \n",
        "...                                                ...   \n",
-       "307362                                             NaN   \n",
-       "307368                                             NaN   \n",
-       "345344                                             NaN   \n",
-       "345565                                             NaN   \n",
-       "360962                                             NaN   \n",
+       "417330                                             NaN   \n",
+       "417341                                             NaN   \n",
+       "417351                                             NaN   \n",
+       "417482                                             NaN   \n",
+       "417516                                             NaN   \n",
        "\n",
        "       DetectionQuantitationLimitMeasure/MeasureUnitCode  \n",
        "2209                                                 NaN  \n",
        "3786                                                 NaN  \n",
-       "9784                                                 NaN  \n",
-       "18078                                                NaN  \n",
+       "18920                                                NaN  \n",
+       "27214                                                NaN  \n",
        "32610                                                NaN  \n",
        "...                                                  ...  \n",
-       "307362                                               NaN  \n",
-       "307368                                               NaN  \n",
-       "345344                                               NaN  \n",
-       "345565                                               NaN  \n",
-       "360962                                               NaN  \n",
+       "417330                                               NaN  \n",
+       "417341                                               NaN  \n",
+       "417351                                               NaN  \n",
+       "417482                                               NaN  \n",
+       "417516                                               NaN  \n",
        "\n",
-       "[2324 rows x 8 columns]"
+       "[2909 rows x 8 columns]"
       ]
      },
      "execution_count": 79,
@@ -7346,10 +7348,10 @@
    "execution_count": 80,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:13.061196Z",
-     "iopub.status.busy": "2024-09-05T03:03:13.060862Z",
-     "iopub.status.idle": "2024-09-05T03:03:13.074206Z",
-     "shell.execute_reply": "2024-09-05T03:03:13.073751Z"
+     "iopub.execute_input": "2024-11-05T03:03:57.737785Z",
+     "iopub.status.busy": "2024-11-05T03:03:57.737628Z",
+     "iopub.status.idle": "2024-11-05T03:03:57.751554Z",
+     "shell.execute_reply": "2024-11-05T03:03:57.751122Z"
     }
    },
    "outputs": [
@@ -7362,11 +7364,11 @@
        "394       11017.5 microsiemens / centimeter\n",
        "746          32.0 microsiemens / centimeter\n",
        "                        ...                \n",
-       "397047      110.0 microsiemens / centimeter\n",
-       "397054       65.0 microsiemens / centimeter\n",
-       "397055      110.0 microsiemens / centimeter\n",
-       "397058      390.0 microsiemens / centimeter\n",
-       "397061       65.0 microsiemens / centimeter\n",
+       "415023      110.0 microsiemens / centimeter\n",
+       "415030       65.0 microsiemens / centimeter\n",
+       "415031      110.0 microsiemens / centimeter\n",
+       "415034      390.0 microsiemens / centimeter\n",
+       "415037       65.0 microsiemens / centimeter\n",
        "Name: Conductivity, Length: 1818, dtype: object"
       ]
      },
@@ -7393,10 +7395,10 @@
    "execution_count": 81,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:13.076163Z",
-     "iopub.status.busy": "2024-09-05T03:03:13.075840Z",
-     "iopub.status.idle": "2024-09-05T03:03:13.369067Z",
-     "shell.execute_reply": "2024-09-05T03:03:13.368546Z"
+     "iopub.execute_input": "2024-11-05T03:03:57.753336Z",
+     "iopub.status.busy": "2024-11-05T03:03:57.753022Z",
+     "iopub.status.idle": "2024-11-05T03:03:58.059217Z",
+     "shell.execute_reply": "2024-11-05T03:03:58.058738Z"
     }
    },
    "outputs": [
@@ -7430,7 +7432,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>129171</th>\n",
+       "      <th>130304</th>\n",
        "      <td>54886.2</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7438,7 +7440,7 @@
        "      <td>54886.2 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>132518</th>\n",
+       "      <th>133651</th>\n",
        "      <td>54871.3</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7446,7 +7448,7 @@
        "      <td>54871.3 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125816</th>\n",
+       "      <th>126949</th>\n",
        "      <td>54860.6</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7454,7 +7456,7 @@
        "      <td>54860.6 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>131249</th>\n",
+       "      <th>132382</th>\n",
        "      <td>54859.3</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7462,7 +7464,7 @@
        "      <td>54859.3 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125215</th>\n",
+       "      <th>126348</th>\n",
        "      <td>54850.8</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7478,7 +7480,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>86435</th>\n",
+       "      <th>87330</th>\n",
        "      <td>6.8</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7486,7 +7488,7 @@
        "      <td>6.8 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>51516</th>\n",
+       "      <th>143924</th>\n",
        "      <td>2</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7494,7 +7496,7 @@
        "      <td>2.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>142803</th>\n",
+       "      <th>51516</th>\n",
        "      <td>2</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7510,7 +7512,7 @@
        "      <td>1.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>143983</th>\n",
+       "      <th>145118</th>\n",
        "      <td>.04</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7524,30 +7526,30 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag Salinity  \\\n",
-       "129171            54886.2                       umho/cm     NaN      NaN   \n",
-       "132518            54871.3                       umho/cm     NaN      NaN   \n",
-       "125816            54860.6                       umho/cm     NaN      NaN   \n",
-       "131249            54859.3                       umho/cm     NaN      NaN   \n",
-       "125215            54850.8                       umho/cm     NaN      NaN   \n",
+       "130304            54886.2                       umho/cm     NaN      NaN   \n",
+       "133651            54871.3                       umho/cm     NaN      NaN   \n",
+       "126949            54860.6                       umho/cm     NaN      NaN   \n",
+       "132382            54859.3                       umho/cm     NaN      NaN   \n",
+       "126348            54850.8                       umho/cm     NaN      NaN   \n",
        "...                   ...                           ...     ...      ...   \n",
-       "86435                 6.8                       umho/cm     NaN      NaN   \n",
+       "87330                 6.8                       umho/cm     NaN      NaN   \n",
+       "143924                  2                       umho/cm     NaN      NaN   \n",
        "51516                   2                       umho/cm     NaN      NaN   \n",
-       "142803                  2                       umho/cm     NaN      NaN   \n",
        "36855                   1                       umho/cm     NaN      NaN   \n",
-       "143983                .04                       umho/cm     NaN      NaN   \n",
+       "145118                .04                       umho/cm     NaN      NaN   \n",
        "\n",
        "                             Conductivity  \n",
-       "129171  54886.2 microsiemens / centimeter  \n",
-       "132518  54871.3 microsiemens / centimeter  \n",
-       "125816  54860.6 microsiemens / centimeter  \n",
-       "131249  54859.3 microsiemens / centimeter  \n",
-       "125215  54850.8 microsiemens / centimeter  \n",
+       "130304  54886.2 microsiemens / centimeter  \n",
+       "133651  54871.3 microsiemens / centimeter  \n",
+       "126949  54860.6 microsiemens / centimeter  \n",
+       "132382  54859.3 microsiemens / centimeter  \n",
+       "126348  54850.8 microsiemens / centimeter  \n",
        "...                                   ...  \n",
-       "86435       6.8 microsiemens / centimeter  \n",
+       "87330       6.8 microsiemens / centimeter  \n",
+       "143924      2.0 microsiemens / centimeter  \n",
        "51516       2.0 microsiemens / centimeter  \n",
-       "142803      2.0 microsiemens / centimeter  \n",
        "36855       1.0 microsiemens / centimeter  \n",
-       "143983     0.04 microsiemens / centimeter  \n",
+       "145118     0.04 microsiemens / centimeter  \n",
        "\n",
        "[1818 rows x 5 columns]"
       ]
@@ -7569,10 +7571,10 @@
    "execution_count": 82,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:13.371222Z",
-     "iopub.status.busy": "2024-09-05T03:03:13.370883Z",
-     "iopub.status.idle": "2024-09-05T03:03:13.388621Z",
-     "shell.execute_reply": "2024-09-05T03:03:13.388177Z"
+     "iopub.execute_input": "2024-11-05T03:03:58.060860Z",
+     "iopub.status.busy": "2024-11-05T03:03:58.060701Z",
+     "iopub.status.idle": "2024-11-05T03:03:58.080917Z",
+     "shell.execute_reply": "2024-11-05T03:03:58.080451Z"
     }
    },
    "outputs": [
@@ -7606,7 +7608,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>129171</th>\n",
+       "      <th>130304</th>\n",
        "      <td>54886.2</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7614,7 +7616,7 @@
        "      <td>54886.2 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>132518</th>\n",
+       "      <th>133651</th>\n",
        "      <td>54871.3</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7622,7 +7624,7 @@
        "      <td>54871.3 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125816</th>\n",
+       "      <th>126949</th>\n",
        "      <td>54860.6</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7630,7 +7632,7 @@
        "      <td>54860.6 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>131249</th>\n",
+       "      <th>132382</th>\n",
        "      <td>54859.3</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7638,7 +7640,7 @@
        "      <td>54859.3 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125215</th>\n",
+       "      <th>126348</th>\n",
        "      <td>54850.8</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7654,7 +7656,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>86435</th>\n",
+       "      <th>87330</th>\n",
        "      <td>6.8</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7662,7 +7664,7 @@
        "      <td>6.8 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>51516</th>\n",
+       "      <th>143924</th>\n",
        "      <td>2</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7670,7 +7672,7 @@
        "      <td>2.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>142803</th>\n",
+       "      <th>51516</th>\n",
        "      <td>2</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7686,7 +7688,7 @@
        "      <td>1.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>143983</th>\n",
+       "      <th>145118</th>\n",
        "      <td>.04</td>\n",
        "      <td>umho/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7700,30 +7702,30 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag Salinity  \\\n",
-       "129171            54886.2                       umho/cm     NaN      NaN   \n",
-       "132518            54871.3                       umho/cm     NaN      NaN   \n",
-       "125816            54860.6                       umho/cm     NaN      NaN   \n",
-       "131249            54859.3                       umho/cm     NaN      NaN   \n",
-       "125215            54850.8                       umho/cm     NaN      NaN   \n",
+       "130304            54886.2                       umho/cm     NaN      NaN   \n",
+       "133651            54871.3                       umho/cm     NaN      NaN   \n",
+       "126949            54860.6                       umho/cm     NaN      NaN   \n",
+       "132382            54859.3                       umho/cm     NaN      NaN   \n",
+       "126348            54850.8                       umho/cm     NaN      NaN   \n",
        "...                   ...                           ...     ...      ...   \n",
-       "86435                 6.8                       umho/cm     NaN      NaN   \n",
+       "87330                 6.8                       umho/cm     NaN      NaN   \n",
+       "143924                  2                       umho/cm     NaN      NaN   \n",
        "51516                   2                       umho/cm     NaN      NaN   \n",
-       "142803                  2                       umho/cm     NaN      NaN   \n",
        "36855                   1                       umho/cm     NaN      NaN   \n",
-       "143983                .04                       umho/cm     NaN      NaN   \n",
+       "145118                .04                       umho/cm     NaN      NaN   \n",
        "\n",
        "                             Conductivity  \n",
-       "129171  54886.2 microsiemens / centimeter  \n",
-       "132518  54871.3 microsiemens / centimeter  \n",
-       "125816  54860.6 microsiemens / centimeter  \n",
-       "131249  54859.3 microsiemens / centimeter  \n",
-       "125215  54850.8 microsiemens / centimeter  \n",
+       "130304  54886.2 microsiemens / centimeter  \n",
+       "133651  54871.3 microsiemens / centimeter  \n",
+       "126949  54860.6 microsiemens / centimeter  \n",
+       "132382  54859.3 microsiemens / centimeter  \n",
+       "126348  54850.8 microsiemens / centimeter  \n",
        "...                                   ...  \n",
-       "86435       6.8 microsiemens / centimeter  \n",
+       "87330       6.8 microsiemens / centimeter  \n",
+       "143924      2.0 microsiemens / centimeter  \n",
        "51516       2.0 microsiemens / centimeter  \n",
-       "142803      2.0 microsiemens / centimeter  \n",
        "36855       1.0 microsiemens / centimeter  \n",
-       "143983     0.04 microsiemens / centimeter  \n",
+       "145118     0.04 microsiemens / centimeter  \n",
        "\n",
        "[1818 rows x 5 columns]"
       ]
@@ -7744,27 +7746,27 @@
    "execution_count": 83,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:13.390714Z",
-     "iopub.status.busy": "2024-09-05T03:03:13.390394Z",
-     "iopub.status.idle": "2024-09-05T03:03:13.908888Z",
-     "shell.execute_reply": "2024-09-05T03:03:13.908346Z"
+     "iopub.execute_input": "2024-11-05T03:03:58.082716Z",
+     "iopub.status.busy": "2024-11-05T03:03:58.082440Z",
+     "iopub.status.idle": "2024-11-05T03:03:58.621994Z",
+     "shell.execute_reply": "2024-11-05T03:03:58.621400Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "129171    36.356 dimensionless\n",
-       "132518    36.345 dimensionless\n",
-       "125816    36.338 dimensionless\n",
-       "131249    36.336 dimensionless\n",
-       "125215     36.33 dimensionless\n",
+       "130304    36.356 dimensionless\n",
+       "133651    36.345 dimensionless\n",
+       "126949    36.338 dimensionless\n",
+       "132382    36.336 dimensionless\n",
+       "126348     36.33 dimensionless\n",
        "                  ...         \n",
-       "86435      0.013 dimensionless\n",
+       "87330      0.013 dimensionless\n",
+       "143924     0.012 dimensionless\n",
        "51516      0.012 dimensionless\n",
-       "142803     0.012 dimensionless\n",
        "36855      0.012 dimensionless\n",
-       "143983     0.012 dimensionless\n",
+       "145118     0.012 dimensionless\n",
        "Name: Salinity, Length: 1818, dtype: object"
       ]
      },
@@ -7799,10 +7801,10 @@
    "execution_count": 84,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:13.911097Z",
-     "iopub.status.busy": "2024-09-05T03:03:13.910758Z",
-     "iopub.status.idle": "2024-09-05T03:03:13.921258Z",
-     "shell.execute_reply": "2024-09-05T03:03:13.920798Z"
+     "iopub.execute_input": "2024-11-05T03:03:58.623891Z",
+     "iopub.status.busy": "2024-11-05T03:03:58.623718Z",
+     "iopub.status.idle": "2024-11-05T03:03:58.634227Z",
+     "shell.execute_reply": "2024-11-05T03:03:58.633673Z"
     }
    },
    "outputs": [
@@ -7834,31 +7836,31 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>129171</th>\n",
+       "      <th>130304</th>\n",
        "      <td>2007-08-09</td>\n",
        "      <td>12:15:00</td>\n",
        "      <td>CST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>132518</th>\n",
+       "      <th>133651</th>\n",
        "      <td>2007-08-09</td>\n",
        "      <td>12:15:00</td>\n",
        "      <td>CST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125816</th>\n",
+       "      <th>126949</th>\n",
        "      <td>2007-08-09</td>\n",
        "      <td>12:15:00</td>\n",
        "      <td>CST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>131249</th>\n",
+       "      <th>132382</th>\n",
        "      <td>2007-08-09</td>\n",
        "      <td>12:15:00</td>\n",
        "      <td>CST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125215</th>\n",
+       "      <th>126348</th>\n",
        "      <td>2007-08-09</td>\n",
        "      <td>12:15:00</td>\n",
        "      <td>CST</td>\n",
@@ -7870,55 +7872,55 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398031</th>\n",
-       "      <td>2024-03-13</td>\n",
-       "      <td>08:20:00</td>\n",
-       "      <td>CDT</td>\n",
+       "      <th>418224</th>\n",
+       "      <td>1959-02-04</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398032</th>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>CDT</td>\n",
+       "      <th>418225</th>\n",
+       "      <td>1958-01-14</td>\n",
+       "      <td>09:20:00</td>\n",
+       "      <td>CST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398033</th>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>CDT</td>\n",
+       "      <th>418226</th>\n",
+       "      <td>1958-01-14</td>\n",
+       "      <td>09:20:00</td>\n",
+       "      <td>CST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398034</th>\n",
-       "      <td>2024-03-13</td>\n",
-       "      <td>08:20:00</td>\n",
-       "      <td>CDT</td>\n",
+       "      <th>418227</th>\n",
+       "      <td>1959-02-05</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398035</th>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>11:30:00</td>\n",
-       "      <td>CDT</td>\n",
+       "      <th>418228</th>\n",
+       "      <td>1959-02-02</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>398036 rows × 3 columns</p>\n",
+       "<p>418229 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ActivityStartDate ActivityStartTime/Time ActivityStartTime/TimeZoneCode\n",
-       "129171        2007-08-09               12:15:00                            CST\n",
-       "132518        2007-08-09               12:15:00                            CST\n",
-       "125816        2007-08-09               12:15:00                            CST\n",
-       "131249        2007-08-09               12:15:00                            CST\n",
-       "125215        2007-08-09               12:15:00                            CST\n",
+       "130304        2007-08-09               12:15:00                            CST\n",
+       "133651        2007-08-09               12:15:00                            CST\n",
+       "126949        2007-08-09               12:15:00                            CST\n",
+       "132382        2007-08-09               12:15:00                            CST\n",
+       "126348        2007-08-09               12:15:00                            CST\n",
        "...                  ...                    ...                            ...\n",
-       "398031        2024-03-13               08:20:00                            CDT\n",
-       "398032        2024-03-06               07:45:00                            CDT\n",
-       "398033        2024-03-06               07:45:00                            CDT\n",
-       "398034        2024-03-13               08:20:00                            CDT\n",
-       "398035        2024-03-06               11:30:00                            CDT\n",
+       "418224        1959-02-04                    NaN                            NaN\n",
+       "418225        1958-01-14               09:20:00                            CST\n",
+       "418226        1958-01-14               09:20:00                            CST\n",
+       "418227        1959-02-05                    NaN                            NaN\n",
+       "418228        1959-02-02                    NaN                            NaN\n",
        "\n",
-       "[398036 rows x 3 columns]"
+       "[418229 rows x 3 columns]"
       ]
      },
      "execution_count": 84,
@@ -7937,10 +7939,10 @@
    "execution_count": 85,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:13.923427Z",
-     "iopub.status.busy": "2024-09-05T03:03:13.923101Z",
-     "iopub.status.idle": "2024-09-05T03:03:15.261609Z",
-     "shell.execute_reply": "2024-09-05T03:03:15.261144Z"
+     "iopub.execute_input": "2024-11-05T03:03:58.635976Z",
+     "iopub.status.busy": "2024-11-05T03:03:58.635640Z",
+     "iopub.status.idle": "2024-11-05T03:04:00.050975Z",
+     "shell.execute_reply": "2024-11-05T03:04:00.050531Z"
     }
    },
    "outputs": [
@@ -7948,7 +7950,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 35999 incomplete dates found, consider setting datetime_index to False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 35999 incomplete dates found, consider setting datetime_index to False.\n",
       "  warnings.warn(\n"
      ]
     },
@@ -7979,27 +7981,27 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>129171</th>\n",
+       "      <th>130304</th>\n",
        "      <td>2007-08-09</td>\n",
        "      <td>2007-08-09 18:15:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>132518</th>\n",
+       "      <th>133651</th>\n",
        "      <td>2007-08-09</td>\n",
        "      <td>2007-08-09 18:15:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125816</th>\n",
+       "      <th>126949</th>\n",
        "      <td>2007-08-09</td>\n",
        "      <td>2007-08-09 18:15:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>131249</th>\n",
+       "      <th>132382</th>\n",
        "      <td>2007-08-09</td>\n",
        "      <td>2007-08-09 18:15:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125215</th>\n",
+       "      <th>126348</th>\n",
        "      <td>2007-08-09</td>\n",
        "      <td>2007-08-09 18:15:00+00:00</td>\n",
        "    </tr>\n",
@@ -8009,50 +8011,50 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398031</th>\n",
-       "      <td>2024-03-13</td>\n",
-       "      <td>2024-03-13 13:20:00+00:00</td>\n",
+       "      <th>418224</th>\n",
+       "      <td>1959-02-04</td>\n",
+       "      <td>NaT</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398032</th>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>2024-03-06 12:45:00+00:00</td>\n",
+       "      <th>418225</th>\n",
+       "      <td>1958-01-14</td>\n",
+       "      <td>1958-01-14 15:20:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398033</th>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>2024-03-06 12:45:00+00:00</td>\n",
+       "      <th>418226</th>\n",
+       "      <td>1958-01-14</td>\n",
+       "      <td>1958-01-14 15:20:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398034</th>\n",
-       "      <td>2024-03-13</td>\n",
-       "      <td>2024-03-13 13:20:00+00:00</td>\n",
+       "      <th>418227</th>\n",
+       "      <td>1959-02-05</td>\n",
+       "      <td>NaT</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398035</th>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>2024-03-06 16:30:00+00:00</td>\n",
+       "      <th>418228</th>\n",
+       "      <td>1959-02-02</td>\n",
+       "      <td>NaT</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>398036 rows × 2 columns</p>\n",
+       "<p>418229 rows × 2 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       ActivityStartDate         Activity_datetime\n",
-       "129171        2007-08-09 2007-08-09 18:15:00+00:00\n",
-       "132518        2007-08-09 2007-08-09 18:15:00+00:00\n",
-       "125816        2007-08-09 2007-08-09 18:15:00+00:00\n",
-       "131249        2007-08-09 2007-08-09 18:15:00+00:00\n",
-       "125215        2007-08-09 2007-08-09 18:15:00+00:00\n",
+       "130304        2007-08-09 2007-08-09 18:15:00+00:00\n",
+       "133651        2007-08-09 2007-08-09 18:15:00+00:00\n",
+       "126949        2007-08-09 2007-08-09 18:15:00+00:00\n",
+       "132382        2007-08-09 2007-08-09 18:15:00+00:00\n",
+       "126348        2007-08-09 2007-08-09 18:15:00+00:00\n",
        "...                  ...                       ...\n",
-       "398031        2024-03-13 2024-03-13 13:20:00+00:00\n",
-       "398032        2024-03-06 2024-03-06 12:45:00+00:00\n",
-       "398033        2024-03-06 2024-03-06 12:45:00+00:00\n",
-       "398034        2024-03-13 2024-03-13 13:20:00+00:00\n",
-       "398035        2024-03-06 2024-03-06 16:30:00+00:00\n",
+       "418224        1959-02-04                       NaT\n",
+       "418225        1958-01-14 1958-01-14 15:20:00+00:00\n",
+       "418226        1958-01-14 1958-01-14 15:20:00+00:00\n",
+       "418227        1959-02-05                       NaT\n",
+       "418228        1959-02-02                       NaT\n",
        "\n",
-       "[398036 rows x 2 columns]"
+       "[418229 rows x 2 columns]"
       ]
      },
      "execution_count": 85,
@@ -8092,10 +8094,10 @@
    "execution_count": 86,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:15.263863Z",
-     "iopub.status.busy": "2024-09-05T03:03:15.263527Z",
-     "iopub.status.idle": "2024-09-05T03:03:15.590189Z",
-     "shell.execute_reply": "2024-09-05T03:03:15.589590Z"
+     "iopub.execute_input": "2024-11-05T03:04:00.052967Z",
+     "iopub.status.busy": "2024-11-05T03:04:00.052640Z",
+     "iopub.status.idle": "2024-11-05T03:04:00.390281Z",
+     "shell.execute_reply": "2024-11-05T03:04:00.389784Z"
     }
    },
    "outputs": [
@@ -8104,15 +8106,15 @@
       "text/plain": [
        "1618       7.0\n",
        "3651       7.0\n",
-       "73415      0.1\n",
-       "73452      2.2\n",
-       "73526      2.0\n",
+       "88866      1.0\n",
+       "89336     16.0\n",
+       "89740     16.0\n",
        "          ... \n",
-       "82807      2.2\n",
-       "87971      1.0\n",
-       "88441     16.0\n",
-       "88845     16.0\n",
-       "142158    35.0\n",
+       "111220     0.5\n",
+       "111304     1.3\n",
+       "111319     2.0\n",
+       "111346     2.2\n",
+       "143291    35.0\n",
        "Name: ResultDepthHeightMeasure/MeasureValue, Length: 179, dtype: float64"
       ]
      },
@@ -8140,10 +8142,10 @@
    "execution_count": 87,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:15.592406Z",
-     "iopub.status.busy": "2024-09-05T03:03:15.592067Z",
-     "iopub.status.idle": "2024-09-05T03:03:19.707228Z",
-     "shell.execute_reply": "2024-09-05T03:03:19.706620Z"
+     "iopub.execute_input": "2024-11-05T03:04:00.392153Z",
+     "iopub.status.busy": "2024-11-05T03:04:00.391783Z",
+     "iopub.status.idle": "2024-11-05T03:04:04.626231Z",
+     "shell.execute_reply": "2024-11-05T03:04:04.625630Z"
     }
    },
    "outputs": [
@@ -8179,21 +8181,21 @@
        "      <th>DataLoggerLine</th>\n",
        "      <th>ResultDetectionConditionText</th>\n",
        "      <th>...</th>\n",
-       "      <th>QA_pH</th>\n",
-       "      <th>QA_Conductivity</th>\n",
-       "      <th>QA_E_coli</th>\n",
-       "      <th>QA_DO</th>\n",
        "      <th>QA_Turbidity</th>\n",
-       "      <th>QA_Secchi</th>\n",
-       "      <th>QA_Chlorophyll</th>\n",
-       "      <th>QA_Nitrogen</th>\n",
-       "      <th>QA_Temperature</th>\n",
+       "      <th>QA_DO</th>\n",
        "      <th>QA_Carbon</th>\n",
+       "      <th>QA_Chlorophyll</th>\n",
+       "      <th>QA_TP_Phosphorus</th>\n",
+       "      <th>QA_TDP_Phosphorus</th>\n",
+       "      <th>QA_Other_Phosphorus</th>\n",
+       "      <th>QA_Salinity</th>\n",
+       "      <th>QA_pH</th>\n",
+       "      <th>QA_Conductivity</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>129171</th>\n",
+       "      <th>130304</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
        "      <td>21AWIC-51908_230231_173</td>\n",
@@ -8217,7 +8219,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>132518</th>\n",
+       "      <th>133651</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
        "      <td>21AWIC-51908_230230_173</td>\n",
@@ -8241,7 +8243,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125816</th>\n",
+       "      <th>126949</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
        "      <td>21AWIC-51908_230228_173</td>\n",
@@ -8265,7 +8267,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>131249</th>\n",
+       "      <th>132382</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
        "      <td>21AWIC-51908_230229_173</td>\n",
@@ -8289,7 +8291,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125215</th>\n",
+       "      <th>126348</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
        "      <td>21AWIC-51908_230227_173</td>\n",
@@ -8337,16 +8339,16 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398031</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335811_1873104_173</td>\n",
-       "      <td>2024-03-13</td>\n",
-       "      <td>08:20:00</td>\n",
-       "      <td>-0500</td>\n",
-       "      <td>21AWIC-9768</td>\n",
-       "      <td>STORET-1039487062</td>\n",
-       "      <td>1873104.0</td>\n",
+       "      <th>418224</th>\n",
+       "      <td>USGS-FL</td>\n",
+       "      <td>USGS Florida Water Science Center</td>\n",
+       "      <td>nwisfl.01.95900924</td>\n",
+       "      <td>1959-02-04</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>USGS-303745086442101</td>\n",
+       "      <td>NWIS-98928104</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -8361,16 +8363,16 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398032</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335642_1872423_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>-0500</td>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>STORET-1039486410</td>\n",
-       "      <td>1872423.0</td>\n",
+       "      <th>418225</th>\n",
+       "      <td>USGS-FL</td>\n",
+       "      <td>USGS Florida Water Science Center</td>\n",
+       "      <td>nwisfl.01.95800572</td>\n",
+       "      <td>1958-01-14</td>\n",
+       "      <td>09:20:00</td>\n",
+       "      <td>-0600</td>\n",
+       "      <td>USGS-02376108</td>\n",
+       "      <td>NWIS-6891392</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -8385,16 +8387,16 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398033</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335642_1872426_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>-0500</td>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>STORET-1039486431</td>\n",
-       "      <td>1872426.0</td>\n",
+       "      <th>418226</th>\n",
+       "      <td>USGS-FL</td>\n",
+       "      <td>USGS Florida Water Science Center</td>\n",
+       "      <td>nwisfl.01.95800572</td>\n",
+       "      <td>1958-01-14</td>\n",
+       "      <td>09:20:00</td>\n",
+       "      <td>-0600</td>\n",
+       "      <td>USGS-02376108</td>\n",
+       "      <td>NWIS-6891396</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -8409,16 +8411,16 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398034</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335811_1873106_173</td>\n",
-       "      <td>2024-03-13</td>\n",
-       "      <td>08:20:00</td>\n",
-       "      <td>-0500</td>\n",
-       "      <td>21AWIC-9768</td>\n",
-       "      <td>STORET-1039487073</td>\n",
-       "      <td>1873106.0</td>\n",
+       "      <th>418227</th>\n",
+       "      <td>USGS-FL</td>\n",
+       "      <td>USGS Florida Water Science Center</td>\n",
+       "      <td>nwisfl.01.95900926</td>\n",
+       "      <td>1959-02-05</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>USGS-303820086241802</td>\n",
+       "      <td>NWIS-6916678</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -8433,16 +8435,16 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>398035</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335728_1874876_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>11:30:00</td>\n",
-       "      <td>-0500</td>\n",
-       "      <td>21AWIC-1152</td>\n",
-       "      <td>STORET-1039490686</td>\n",
-       "      <td>1874876.0</td>\n",
+       "      <th>418228</th>\n",
+       "      <td>USGS-FL</td>\n",
+       "      <td>USGS Florida Water Science Center</td>\n",
+       "      <td>nwisfl.01.95900852</td>\n",
+       "      <td>1959-02-02</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>USGS-302330086482001</td>\n",
+       "      <td>NWIS-6916402</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -8458,102 +8460,102 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>347782 rows × 117 columns</p>\n",
+       "<p>366539 rows × 117 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "       OrganizationIdentifier  \\\n",
-       "129171                 21AWIC   \n",
-       "132518                 21AWIC   \n",
-       "125816                 21AWIC   \n",
-       "131249                 21AWIC   \n",
-       "125215                 21AWIC   \n",
+       "130304                 21AWIC   \n",
+       "133651                 21AWIC   \n",
+       "126949                 21AWIC   \n",
+       "132382                 21AWIC   \n",
+       "126348                 21AWIC   \n",
        "...                       ...   \n",
-       "398031                 21AWIC   \n",
-       "398032                 21AWIC   \n",
-       "398033                 21AWIC   \n",
-       "398034                 21AWIC   \n",
-       "398035                 21AWIC   \n",
+       "418224                USGS-FL   \n",
+       "418225                USGS-FL   \n",
+       "418226                USGS-FL   \n",
+       "418227                USGS-FL   \n",
+       "418228                USGS-FL   \n",
        "\n",
        "                                   OrganizationFormalName  \\\n",
-       "129171  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "132518  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "125816  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "131249  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "125215  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "130304  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "133651  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "126949  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "132382  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "126348  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
        "...                                                   ...   \n",
-       "398031  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "398032  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "398033  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "398034  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "398035  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "\n",
-       "               ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
-       "129171    21AWIC-51908_230231_173        2007-08-09               12:15:00   \n",
-       "132518    21AWIC-51908_230230_173        2007-08-09               12:15:00   \n",
-       "125816    21AWIC-51908_230228_173        2007-08-09               12:15:00   \n",
-       "131249    21AWIC-51908_230229_173        2007-08-09               12:15:00   \n",
-       "125215    21AWIC-51908_230227_173        2007-08-09               12:15:00   \n",
-       "...                           ...               ...                    ...   \n",
-       "398031  21AWIC-335811_1873104_173        2024-03-13               08:20:00   \n",
-       "398032  21AWIC-335642_1872423_173        2024-03-06               07:45:00   \n",
-       "398033  21AWIC-335642_1872426_173        2024-03-06               07:45:00   \n",
-       "398034  21AWIC-335811_1873106_173        2024-03-13               08:20:00   \n",
-       "398035  21AWIC-335728_1874876_173        2024-03-06               11:30:00   \n",
+       "418224                  USGS Florida Water Science Center   \n",
+       "418225                  USGS Florida Water Science Center   \n",
+       "418226                  USGS Florida Water Science Center   \n",
+       "418227                  USGS Florida Water Science Center   \n",
+       "418228                  USGS Florida Water Science Center   \n",
+       "\n",
+       "             ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
+       "130304  21AWIC-51908_230231_173        2007-08-09               12:15:00   \n",
+       "133651  21AWIC-51908_230230_173        2007-08-09               12:15:00   \n",
+       "126949  21AWIC-51908_230228_173        2007-08-09               12:15:00   \n",
+       "132382  21AWIC-51908_230229_173        2007-08-09               12:15:00   \n",
+       "126348  21AWIC-51908_230227_173        2007-08-09               12:15:00   \n",
+       "...                         ...               ...                    ...   \n",
+       "418224       nwisfl.01.95900924        1959-02-04                    NaN   \n",
+       "418225       nwisfl.01.95800572        1958-01-14               09:20:00   \n",
+       "418226       nwisfl.01.95800572        1958-01-14               09:20:00   \n",
+       "418227       nwisfl.01.95900926        1959-02-05                    NaN   \n",
+       "418228       nwisfl.01.95900852        1959-02-02                    NaN   \n",
        "\n",
        "       ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier  \\\n",
-       "129171                          -0600                  21AWIC-1122   \n",
-       "132518                          -0600                  21AWIC-1122   \n",
-       "125816                          -0600                  21AWIC-1122   \n",
-       "131249                          -0600                  21AWIC-1122   \n",
-       "125215                          -0600                  21AWIC-1122   \n",
+       "130304                          -0600                  21AWIC-1122   \n",
+       "133651                          -0600                  21AWIC-1122   \n",
+       "126949                          -0600                  21AWIC-1122   \n",
+       "132382                          -0600                  21AWIC-1122   \n",
+       "126348                          -0600                  21AWIC-1122   \n",
        "...                               ...                          ...   \n",
-       "398031                          -0500                  21AWIC-9768   \n",
-       "398032                          -0500                  21AWIC-1208   \n",
-       "398033                          -0500                  21AWIC-1208   \n",
-       "398034                          -0500                  21AWIC-9768   \n",
-       "398035                          -0500                  21AWIC-1152   \n",
-       "\n",
-       "         ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
-       "129171   STORET-170383613        230231.0                          NaN  ...   \n",
-       "132518   STORET-170383607        230230.0                          NaN  ...   \n",
-       "125816   STORET-170383595        230228.0                          NaN  ...   \n",
-       "131249   STORET-170383601        230229.0                          NaN  ...   \n",
-       "125215   STORET-170383589        230227.0                          NaN  ...   \n",
-       "...                   ...             ...                          ...  ...   \n",
-       "398031  STORET-1039487062       1873104.0                          NaN  ...   \n",
-       "398032  STORET-1039486410       1872423.0                          NaN  ...   \n",
-       "398033  STORET-1039486431       1872426.0                          NaN  ...   \n",
-       "398034  STORET-1039487073       1873106.0                          NaN  ...   \n",
-       "398035  STORET-1039490686       1874876.0                          NaN  ...   \n",
-       "\n",
-       "       QA_pH QA_Conductivity QA_E_coli QA_DO QA_Turbidity QA_Secchi  \\\n",
-       "129171   NaN             NaN       NaN   NaN          NaN       NaN   \n",
-       "132518   NaN             NaN       NaN   NaN          NaN       NaN   \n",
-       "125816   NaN             NaN       NaN   NaN          NaN       NaN   \n",
-       "131249   NaN             NaN       NaN   NaN          NaN       NaN   \n",
-       "125215   NaN             NaN       NaN   NaN          NaN       NaN   \n",
-       "...      ...             ...       ...   ...          ...       ...   \n",
-       "398031   NaN             NaN       NaN   NaN          NaN       NaN   \n",
-       "398032   NaN             NaN       NaN   NaN          NaN       NaN   \n",
-       "398033   NaN             NaN       NaN   NaN          NaN       NaN   \n",
-       "398034   NaN             NaN       NaN   NaN          NaN       NaN   \n",
-       "398035   NaN             NaN       NaN   NaN          NaN       NaN   \n",
-       "\n",
-       "       QA_Chlorophyll QA_Nitrogen QA_Temperature QA_Carbon  \n",
-       "129171            NaN         NaN            NaN       NaN  \n",
-       "132518            NaN         NaN            NaN       NaN  \n",
-       "125816            NaN         NaN            NaN       NaN  \n",
-       "131249            NaN         NaN            NaN       NaN  \n",
-       "125215            NaN         NaN            NaN       NaN  \n",
-       "...               ...         ...            ...       ...  \n",
-       "398031            NaN         NaN            NaN       NaN  \n",
-       "398032            NaN         NaN            NaN       NaN  \n",
-       "398033            NaN         NaN            NaN       NaN  \n",
-       "398034            NaN         NaN            NaN       NaN  \n",
-       "398035            NaN         NaN            NaN       NaN  \n",
-       "\n",
-       "[347782 rows x 117 columns]"
+       "418224                            NaN         USGS-303745086442101   \n",
+       "418225                          -0600                USGS-02376108   \n",
+       "418226                          -0600                USGS-02376108   \n",
+       "418227                            NaN         USGS-303820086241802   \n",
+       "418228                            NaN         USGS-302330086482001   \n",
+       "\n",
+       "        ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
+       "130304  STORET-170383613        230231.0                          NaN  ...   \n",
+       "133651  STORET-170383607        230230.0                          NaN  ...   \n",
+       "126949  STORET-170383595        230228.0                          NaN  ...   \n",
+       "132382  STORET-170383601        230229.0                          NaN  ...   \n",
+       "126348  STORET-170383589        230227.0                          NaN  ...   \n",
+       "...                  ...             ...                          ...  ...   \n",
+       "418224     NWIS-98928104             NaN                          NaN  ...   \n",
+       "418225      NWIS-6891392             NaN                          NaN  ...   \n",
+       "418226      NWIS-6891396             NaN                          NaN  ...   \n",
+       "418227      NWIS-6916678             NaN                          NaN  ...   \n",
+       "418228      NWIS-6916402             NaN                          NaN  ...   \n",
+       "\n",
+       "       QA_Turbidity QA_DO QA_Carbon QA_Chlorophyll QA_TP_Phosphorus  \\\n",
+       "130304          NaN   NaN       NaN            NaN              NaN   \n",
+       "133651          NaN   NaN       NaN            NaN              NaN   \n",
+       "126949          NaN   NaN       NaN            NaN              NaN   \n",
+       "132382          NaN   NaN       NaN            NaN              NaN   \n",
+       "126348          NaN   NaN       NaN            NaN              NaN   \n",
+       "...             ...   ...       ...            ...              ...   \n",
+       "418224          NaN   NaN       NaN            NaN              NaN   \n",
+       "418225          NaN   NaN       NaN            NaN              NaN   \n",
+       "418226          NaN   NaN       NaN            NaN              NaN   \n",
+       "418227          NaN   NaN       NaN            NaN              NaN   \n",
+       "418228          NaN   NaN       NaN            NaN              NaN   \n",
+       "\n",
+       "       QA_TDP_Phosphorus QA_Other_Phosphorus QA_Salinity QA_pH QA_Conductivity  \n",
+       "130304               NaN                 NaN         NaN   NaN             NaN  \n",
+       "133651               NaN                 NaN         NaN   NaN             NaN  \n",
+       "126949               NaN                 NaN         NaN   NaN             NaN  \n",
+       "132382               NaN                 NaN         NaN   NaN             NaN  \n",
+       "126348               NaN                 NaN         NaN   NaN             NaN  \n",
+       "...                  ...                 ...         ...   ...             ...  \n",
+       "418224               NaN                 NaN         NaN   NaN             NaN  \n",
+       "418225               NaN                 NaN         NaN   NaN             NaN  \n",
+       "418226               NaN                 NaN         NaN   NaN             NaN  \n",
+       "418227               NaN                 NaN         NaN   NaN             NaN  \n",
+       "418228               NaN                 NaN         NaN   NaN             NaN  \n",
+       "\n",
+       "[366539 rows x 117 columns]"
       ]
      },
      "execution_count": 87,
@@ -8572,10 +8574,10 @@
    "execution_count": 88,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:19.709410Z",
-     "iopub.status.busy": "2024-09-05T03:03:19.709070Z",
-     "iopub.status.idle": "2024-09-05T03:03:19.712133Z",
-     "shell.execute_reply": "2024-09-05T03:03:19.711619Z"
+     "iopub.execute_input": "2024-11-05T03:04:04.628042Z",
+     "iopub.status.busy": "2024-11-05T03:04:04.627708Z",
+     "iopub.status.idle": "2024-11-05T03:04:04.630871Z",
+     "shell.execute_reply": "2024-11-05T03:04:04.630333Z"
     }
    },
    "outputs": [
@@ -8597,10 +8599,10 @@
    "execution_count": 89,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:19.714115Z",
-     "iopub.status.busy": "2024-09-05T03:03:19.713707Z",
-     "iopub.status.idle": "2024-09-05T03:03:19.716747Z",
-     "shell.execute_reply": "2024-09-05T03:03:19.716216Z"
+     "iopub.execute_input": "2024-11-05T03:04:04.632524Z",
+     "iopub.status.busy": "2024-11-05T03:04:04.632212Z",
+     "iopub.status.idle": "2024-11-05T03:04:04.634770Z",
+     "shell.execute_reply": "2024-11-05T03:04:04.634330Z"
     }
    },
    "outputs": [
@@ -8608,7 +8610,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "50254 fewer rows\n"
+      "51690 fewer rows\n"
      ]
     }
    ],
@@ -8622,10 +8624,10 @@
    "execution_count": 90,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:19.718880Z",
-     "iopub.status.busy": "2024-09-05T03:03:19.718447Z",
-     "iopub.status.idle": "2024-09-05T03:03:20.255211Z",
-     "shell.execute_reply": "2024-09-05T03:03:20.254703Z"
+     "iopub.execute_input": "2024-11-05T03:04:04.636443Z",
+     "iopub.status.busy": "2024-11-05T03:04:04.636082Z",
+     "iopub.status.idle": "2024-11-05T03:04:05.179942Z",
+     "shell.execute_reply": "2024-11-05T03:04:05.179385Z"
     }
    },
    "outputs": [
@@ -8690,10 +8692,10 @@
    "execution_count": 91,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:20.257421Z",
-     "iopub.status.busy": "2024-09-05T03:03:20.257095Z",
-     "iopub.status.idle": "2024-09-05T03:03:20.525159Z",
-     "shell.execute_reply": "2024-09-05T03:03:20.524618Z"
+     "iopub.execute_input": "2024-11-05T03:04:05.181760Z",
+     "iopub.status.busy": "2024-11-05T03:04:05.181442Z",
+     "iopub.status.idle": "2024-11-05T03:04:05.470623Z",
+     "shell.execute_reply": "2024-11-05T03:04:05.470079Z"
     }
    },
    "outputs": [],
@@ -8707,10 +8709,10 @@
    "execution_count": 92,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:20.527631Z",
-     "iopub.status.busy": "2024-09-05T03:03:20.527298Z",
-     "iopub.status.idle": "2024-09-05T03:03:20.531012Z",
-     "shell.execute_reply": "2024-09-05T03:03:20.530512Z"
+     "iopub.execute_input": "2024-11-05T03:04:05.472597Z",
+     "iopub.status.busy": "2024-11-05T03:04:05.472326Z",
+     "iopub.status.idle": "2024-11-05T03:04:05.476229Z",
+     "shell.execute_reply": "2024-11-05T03:04:05.475666Z"
     }
    },
    "outputs": [
@@ -8726,10 +8728,11 @@
        "       'E_coli', 'DetectionQuantitationLimitTypeName',\n",
        "       'DetectionQuantitationLimitMeasure/MeasureValue',\n",
        "       'DetectionQuantitationLimitMeasure/MeasureUnitCode',\n",
-       "       'Activity_datetime', 'Depth', 'QA_TP_Phosphorus', 'QA_TDP_Phosphorus',\n",
-       "       'QA_Other_Phosphorus', 'QA_Salinity', 'QA_Fecal_Coliform', 'QA_pH',\n",
-       "       'QA_Conductivity', 'QA_E_coli', 'QA_DO', 'QA_Turbidity', 'QA_Secchi',\n",
-       "       'QA_Chlorophyll', 'QA_Nitrogen', 'QA_Temperature', 'QA_Carbon'],\n",
+       "       'Activity_datetime', 'Depth', 'QA_Temperature', 'QA_E_coli',\n",
+       "       'QA_Fecal_Coliform', 'QA_Nitrogen', 'QA_Secchi', 'QA_Turbidity',\n",
+       "       'QA_DO', 'QA_Carbon', 'QA_Chlorophyll', 'QA_TP_Phosphorus',\n",
+       "       'QA_TDP_Phosphorus', 'QA_Other_Phosphorus', 'QA_Salinity', 'QA_pH',\n",
+       "       'QA_Conductivity'],\n",
        "      dtype='object')"
       ]
      },
@@ -8748,10 +8751,10 @@
    "execution_count": 93,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:20.532942Z",
-     "iopub.status.busy": "2024-09-05T03:03:20.532615Z",
-     "iopub.status.idle": "2024-09-05T03:03:20.544443Z",
-     "shell.execute_reply": "2024-09-05T03:03:20.543885Z"
+     "iopub.execute_input": "2024-11-05T03:04:05.478001Z",
+     "iopub.status.busy": "2024-11-05T03:04:05.477681Z",
+     "iopub.status.idle": "2024-11-05T03:04:05.489802Z",
+     "shell.execute_reply": "2024-11-05T03:04:05.489281Z"
     }
    },
    "outputs": [
@@ -8787,21 +8790,21 @@
        "      <th>pH</th>\n",
        "      <th>Salinity</th>\n",
        "      <th>...</th>\n",
-       "      <th>QA_pH</th>\n",
-       "      <th>QA_Conductivity</th>\n",
-       "      <th>QA_E_coli</th>\n",
-       "      <th>QA_DO</th>\n",
        "      <th>QA_Turbidity</th>\n",
-       "      <th>QA_Secchi</th>\n",
-       "      <th>QA_Chlorophyll</th>\n",
-       "      <th>QA_Nitrogen</th>\n",
-       "      <th>QA_Temperature</th>\n",
+       "      <th>QA_DO</th>\n",
        "      <th>QA_Carbon</th>\n",
+       "      <th>QA_Chlorophyll</th>\n",
+       "      <th>QA_TP_Phosphorus</th>\n",
+       "      <th>QA_TDP_Phosphorus</th>\n",
+       "      <th>QA_Other_Phosphorus</th>\n",
+       "      <th>QA_Salinity</th>\n",
+       "      <th>QA_pH</th>\n",
+       "      <th>QA_Conductivity</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>129171</th>\n",
+       "      <th>130304</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
        "      <td>21AWIC-51908_230231_173</td>\n",
@@ -8825,7 +8828,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>132518</th>\n",
+       "      <th>133651</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
        "      <td>21AWIC-51908_230230_173</td>\n",
@@ -8849,7 +8852,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125816</th>\n",
+       "      <th>126949</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
        "      <td>21AWIC-51908_230228_173</td>\n",
@@ -8873,7 +8876,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>131249</th>\n",
+       "      <th>132382</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
        "      <td>21AWIC-51908_230229_173</td>\n",
@@ -8897,7 +8900,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>125215</th>\n",
+       "      <th>126348</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
        "      <td>21AWIC-51908_230227_173</td>\n",
@@ -8927,46 +8930,46 @@
       ],
       "text/plain": [
        "       OrganizationIdentifier  \\\n",
-       "129171                 21AWIC   \n",
-       "132518                 21AWIC   \n",
-       "125816                 21AWIC   \n",
-       "131249                 21AWIC   \n",
-       "125215                 21AWIC   \n",
+       "130304                 21AWIC   \n",
+       "133651                 21AWIC   \n",
+       "126949                 21AWIC   \n",
+       "132382                 21AWIC   \n",
+       "126348                 21AWIC   \n",
        "\n",
        "                                   OrganizationFormalName  \\\n",
-       "129171  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "132518  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "125816  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "131249  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "125215  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "130304  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "133651  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "126949  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "132382  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "126348  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
        "\n",
        "             ActivityIdentifier MonitoringLocationIdentifier ProviderName  \\\n",
-       "129171  21AWIC-51908_230231_173                  21AWIC-1122       STORET   \n",
-       "132518  21AWIC-51908_230230_173                  21AWIC-1122       STORET   \n",
-       "125816  21AWIC-51908_230228_173                  21AWIC-1122       STORET   \n",
-       "131249  21AWIC-51908_230229_173                  21AWIC-1122       STORET   \n",
-       "125215  21AWIC-51908_230227_173                  21AWIC-1122       STORET   \n",
-       "\n",
-       "       Secchi Temperature   DO   pH              Salinity  ... QA_pH  \\\n",
-       "129171    NaN         NaN  NaN  NaN  36.356 dimensionless  ...   NaN   \n",
-       "132518    NaN         NaN  NaN  NaN  36.345 dimensionless  ...   NaN   \n",
-       "125816    NaN         NaN  NaN  NaN  36.338 dimensionless  ...   NaN   \n",
-       "131249    NaN         NaN  NaN  NaN  36.336 dimensionless  ...   NaN   \n",
-       "125215    NaN         NaN  NaN  NaN   36.33 dimensionless  ...   NaN   \n",
-       "\n",
-       "       QA_Conductivity QA_E_coli QA_DO QA_Turbidity QA_Secchi QA_Chlorophyll  \\\n",
-       "129171             NaN       NaN   NaN          NaN       NaN            NaN   \n",
-       "132518             NaN       NaN   NaN          NaN       NaN            NaN   \n",
-       "125816             NaN       NaN   NaN          NaN       NaN            NaN   \n",
-       "131249             NaN       NaN   NaN          NaN       NaN            NaN   \n",
-       "125215             NaN       NaN   NaN          NaN       NaN            NaN   \n",
-       "\n",
-       "       QA_Nitrogen QA_Temperature QA_Carbon  \n",
-       "129171         NaN            NaN       NaN  \n",
-       "132518         NaN            NaN       NaN  \n",
-       "125816         NaN            NaN       NaN  \n",
-       "131249         NaN            NaN       NaN  \n",
-       "125215         NaN            NaN       NaN  \n",
+       "130304  21AWIC-51908_230231_173                  21AWIC-1122       STORET   \n",
+       "133651  21AWIC-51908_230230_173                  21AWIC-1122       STORET   \n",
+       "126949  21AWIC-51908_230228_173                  21AWIC-1122       STORET   \n",
+       "132382  21AWIC-51908_230229_173                  21AWIC-1122       STORET   \n",
+       "126348  21AWIC-51908_230227_173                  21AWIC-1122       STORET   \n",
+       "\n",
+       "       Secchi Temperature   DO   pH              Salinity  ... QA_Turbidity  \\\n",
+       "130304    NaN         NaN  NaN  NaN  36.356 dimensionless  ...          NaN   \n",
+       "133651    NaN         NaN  NaN  NaN  36.345 dimensionless  ...          NaN   \n",
+       "126949    NaN         NaN  NaN  NaN  36.338 dimensionless  ...          NaN   \n",
+       "132382    NaN         NaN  NaN  NaN  36.336 dimensionless  ...          NaN   \n",
+       "126348    NaN         NaN  NaN  NaN   36.33 dimensionless  ...          NaN   \n",
+       "\n",
+       "       QA_DO QA_Carbon QA_Chlorophyll QA_TP_Phosphorus QA_TDP_Phosphorus  \\\n",
+       "130304   NaN       NaN            NaN              NaN               NaN   \n",
+       "133651   NaN       NaN            NaN              NaN               NaN   \n",
+       "126949   NaN       NaN            NaN              NaN               NaN   \n",
+       "132382   NaN       NaN            NaN              NaN               NaN   \n",
+       "126348   NaN       NaN            NaN              NaN               NaN   \n",
+       "\n",
+       "       QA_Other_Phosphorus QA_Salinity QA_pH QA_Conductivity  \n",
+       "130304                 NaN         NaN   NaN             NaN  \n",
+       "133651                 NaN         NaN   NaN             NaN  \n",
+       "126949                 NaN         NaN   NaN             NaN  \n",
+       "132382                 NaN         NaN   NaN             NaN  \n",
+       "126348                 NaN         NaN   NaN             NaN  \n",
        "\n",
        "[5 rows x 44 columns]"
       ]
@@ -8986,10 +8989,10 @@
    "execution_count": 94,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:20.546513Z",
-     "iopub.status.busy": "2024-09-05T03:03:20.546207Z",
-     "iopub.status.idle": "2024-09-05T03:03:22.007369Z",
-     "shell.execute_reply": "2024-09-05T03:03:22.006799Z"
+     "iopub.execute_input": "2024-11-05T03:04:05.491576Z",
+     "iopub.status.busy": "2024-11-05T03:04:05.491091Z",
+     "iopub.status.idle": "2024-11-05T03:04:07.037807Z",
+     "shell.execute_reply": "2024-11-05T03:04:07.037222Z"
     }
    },
    "outputs": [
@@ -8997,14 +9000,14 @@
      "data": {
       "text/plain": [
        "['Sediment',\n",
+       " 'QA_E_coli',\n",
+       " 'QA_Fecal_Coliform',\n",
+       " 'QA_Secchi',\n",
+       " 'QA_Carbon',\n",
        " 'QA_TP_Phosphorus',\n",
        " 'QA_TDP_Phosphorus',\n",
        " 'QA_Other_Phosphorus',\n",
-       " 'QA_Fecal_Coliform',\n",
-       " 'QA_Conductivity',\n",
-       " 'QA_E_coli',\n",
-       " 'QA_Secchi',\n",
-       " 'QA_Carbon']"
+       " 'QA_Conductivity']"
       ]
      },
      "execution_count": 94,
@@ -9024,10 +9027,10 @@
    "execution_count": 95,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:22.009366Z",
-     "iopub.status.busy": "2024-09-05T03:03:22.009196Z",
-     "iopub.status.idle": "2024-09-05T03:03:22.364027Z",
-     "shell.execute_reply": "2024-09-05T03:03:22.363388Z"
+     "iopub.execute_input": "2024-11-05T03:04:07.039538Z",
+     "iopub.status.busy": "2024-11-05T03:04:07.039368Z",
+     "iopub.status.idle": "2024-11-05T03:04:07.430632Z",
+     "shell.execute_reply": "2024-11-05T03:04:07.430055Z"
     }
    },
    "outputs": [
@@ -9043,7 +9046,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -9079,7 +9082,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/demos/Harmonize_Pensacola_Simple.ipynb b/demos/Harmonize_Pensacola_Simple.ipynb
index 184d74d..6d9c878 100644
--- a/demos/Harmonize_Pensacola_Simple.ipynb
+++ b/demos/Harmonize_Pensacola_Simple.ipynb
@@ -55,10 +55,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:25.378503Z",
-     "iopub.status.busy": "2024-09-05T03:03:25.378338Z",
-     "iopub.status.idle": "2024-09-05T03:03:25.383494Z",
-     "shell.execute_reply": "2024-09-05T03:03:25.382963Z"
+     "iopub.execute_input": "2024-11-05T03:04:10.478433Z",
+     "iopub.status.busy": "2024-11-05T03:04:10.478264Z",
+     "iopub.status.idle": "2024-11-05T03:04:10.483474Z",
+     "shell.execute_reply": "2024-11-05T03:04:10.483049Z"
     }
    },
    "outputs": [],
@@ -83,10 +83,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:25.385852Z",
-     "iopub.status.busy": "2024-09-05T03:03:25.385389Z",
-     "iopub.status.idle": "2024-09-05T03:03:25.969367Z",
-     "shell.execute_reply": "2024-09-05T03:03:25.968756Z"
+     "iopub.execute_input": "2024-11-05T03:04:10.485273Z",
+     "iopub.status.busy": "2024-11-05T03:04:10.484965Z",
+     "iopub.status.idle": "2024-11-05T03:04:11.090264Z",
+     "shell.execute_reply": "2024-11-05T03:04:11.089704Z"
     }
    },
    "outputs": [
@@ -94,7 +94,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
       "  warnings.warn('GDAL not installed. Some functions will not work.')\n"
      ]
     }
@@ -109,10 +109,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:25.971849Z",
-     "iopub.status.busy": "2024-09-05T03:03:25.971606Z",
-     "iopub.status.idle": "2024-09-05T03:03:25.974544Z",
-     "shell.execute_reply": "2024-09-05T03:03:25.973976Z"
+     "iopub.execute_input": "2024-11-05T03:04:11.092458Z",
+     "iopub.status.busy": "2024-11-05T03:04:11.092031Z",
+     "iopub.status.idle": "2024-11-05T03:04:11.094895Z",
+     "shell.execute_reply": "2024-11-05T03:04:11.094355Z"
     }
    },
    "outputs": [],
@@ -127,10 +127,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:25.976635Z",
-     "iopub.status.busy": "2024-09-05T03:03:25.976264Z",
-     "iopub.status.idle": "2024-09-05T03:03:26.709213Z",
-     "shell.execute_reply": "2024-09-05T03:03:26.708676Z"
+     "iopub.execute_input": "2024-11-05T03:04:11.096636Z",
+     "iopub.status.busy": "2024-11-05T03:04:11.096299Z",
+     "iopub.status.idle": "2024-11-05T03:04:11.653723Z",
+     "shell.execute_reply": "2024-11-05T03:04:11.653076Z"
     }
    },
    "outputs": [
@@ -165,10 +165,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:26.712090Z",
-     "iopub.status.busy": "2024-09-05T03:03:26.711473Z",
-     "iopub.status.idle": "2024-09-05T03:03:26.765400Z",
-     "shell.execute_reply": "2024-09-05T03:03:26.764962Z"
+     "iopub.execute_input": "2024-11-05T03:04:11.656062Z",
+     "iopub.status.busy": "2024-11-05T03:04:11.655511Z",
+     "iopub.status.idle": "2024-11-05T03:04:11.740328Z",
+     "shell.execute_reply": "2024-11-05T03:04:11.739673Z"
     }
    },
    "outputs": [],
@@ -186,10 +186,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:03:26.767536Z",
-     "iopub.status.busy": "2024-09-05T03:03:26.767194Z",
-     "iopub.status.idle": "2024-09-05T03:14:59.704997Z",
-     "shell.execute_reply": "2024-09-05T03:14:59.704445Z"
+     "iopub.execute_input": "2024-11-05T03:04:11.742226Z",
+     "iopub.status.busy": "2024-11-05T03:04:11.742052Z",
+     "iopub.status.idle": "2024-11-05T03:08:14.843137Z",
+     "shell.execute_reply": "2024-11-05T03:08:14.842510Z"
     }
    },
    "outputs": [
@@ -197,7 +197,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (9,13,17,23,31,61,62,71) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (9,13,17,23,31,61,62,71) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  df = pd.read_csv(StringIO(response.text), delimiter=',')\n"
      ]
     },
@@ -391,16 +391,16 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93555</th>\n",
+       "      <th>97929</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-336359_1875480_173</td>\n",
-       "      <td>2024-03-21</td>\n",
-       "      <td>10:30:00</td>\n",
+       "      <td>21AWIC-335647_1872428_173</td>\n",
+       "      <td>2024-03-06</td>\n",
+       "      <td>09:20:00</td>\n",
        "      <td>CDT</td>\n",
-       "      <td>21AWIC-1606</td>\n",
-       "      <td>STORET-1039481562</td>\n",
-       "      <td>1875480.0</td>\n",
+       "      <td>21AWIC-7290</td>\n",
+       "      <td>STORET-1039485360</td>\n",
+       "      <td>1872428.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -415,16 +415,16 @@
        "      <td>STORET</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93556</th>\n",
+       "      <th>97930</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335637_1872454_173</td>\n",
+       "      <td>21AWIC-335642_1872423_173</td>\n",
        "      <td>2024-03-06</td>\n",
-       "      <td>07:20:00</td>\n",
+       "      <td>07:45:00</td>\n",
        "      <td>CDT</td>\n",
-       "      <td>21AWIC-9631</td>\n",
-       "      <td>STORET-1039486378</td>\n",
-       "      <td>1872454.0</td>\n",
+       "      <td>21AWIC-1208</td>\n",
+       "      <td>STORET-1039486410</td>\n",
+       "      <td>1872423.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -439,16 +439,16 @@
        "      <td>STORET</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93557</th>\n",
+       "      <th>97931</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335647_1872428_173</td>\n",
+       "      <td>21AWIC-335642_1872426_173</td>\n",
        "      <td>2024-03-06</td>\n",
-       "      <td>09:20:00</td>\n",
+       "      <td>07:45:00</td>\n",
        "      <td>CDT</td>\n",
-       "      <td>21AWIC-7290</td>\n",
-       "      <td>STORET-1039485360</td>\n",
-       "      <td>1872428.0</td>\n",
+       "      <td>21AWIC-1208</td>\n",
+       "      <td>STORET-1039486431</td>\n",
+       "      <td>1872426.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -463,16 +463,16 @@
        "      <td>STORET</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93558</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335642_1872423_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>CDT</td>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>STORET-1039486410</td>\n",
-       "      <td>1872423.0</td>\n",
+       "      <th>97932</th>\n",
+       "      <td>21FLCBA_WQX</td>\n",
+       "      <td>CHOCTAWHATCHEE BASIN ALLIANCE</td>\n",
+       "      <td>21FLCBA_WQX-EACH-202/07/2024 12:071.683T</td>\n",
+       "      <td>2024-02-07</td>\n",
+       "      <td>12:07:00</td>\n",
+       "      <td>CST</td>\n",
+       "      <td>21FLCBA_WQX-OKA-CB-BEACH-2</td>\n",
+       "      <td>STORET-1043866716</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -487,16 +487,16 @@
        "      <td>STORET</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93559</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335642_1872426_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>CDT</td>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>STORET-1039486431</td>\n",
-       "      <td>1872426.0</td>\n",
+       "      <th>97933</th>\n",
+       "      <td>21FLPNS_WQX</td>\n",
+       "      <td>FL Dept. of Environmental Protection, Northwes...</td>\n",
+       "      <td>21FLPNS_WQX-G4NW0022-02/21/24-FP1</td>\n",
+       "      <td>2024-02-21</td>\n",
+       "      <td>13:55:00</td>\n",
+       "      <td>EST</td>\n",
+       "      <td>21FLPNS_WQX-G4NW0022</td>\n",
+       "      <td>STORET-1042728107</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -512,7 +512,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>93560 rows × 78 columns</p>\n",
+       "<p>97934 rows × 78 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -523,11 +523,11 @@
        "3                21FLPNS_WQX   \n",
        "4                21FLPNS_WQX   \n",
        "...                      ...   \n",
-       "93555                 21AWIC   \n",
-       "93556                 21AWIC   \n",
-       "93557                 21AWIC   \n",
-       "93558                 21AWIC   \n",
-       "93559                 21AWIC   \n",
+       "97929                 21AWIC   \n",
+       "97930                 21AWIC   \n",
+       "97931                 21AWIC   \n",
+       "97932            21FLCBA_WQX   \n",
+       "97933            21FLPNS_WQX   \n",
        "\n",
        "                                  OrganizationFormalName  \\\n",
        "0                          CHOCTAWHATCHEE BASIN ALLIANCE   \n",
@@ -536,117 +536,130 @@
        "3      FL Dept. of Environmental Protection, Northwes...   \n",
        "4      FL Dept. of Environmental Protection, Northwes...   \n",
        "...                                                  ...   \n",
-       "93555  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93556  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93557  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93558  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93559  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97929  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97930  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97931  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97932                      CHOCTAWHATCHEE BASIN ALLIANCE   \n",
+       "97933  FL Dept. of Environmental Protection, Northwes...   \n",
        "\n",
-       "                 ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
-       "0      21FLCBA_WQX-BAS219848-162813        2013-09-23               17:15:00   \n",
-       "1             21FLPNS_WQX-1520821F1        2013-07-23               11:01:00   \n",
-       "2             21FLPNS_WQX-1540508F1        2013-09-30               11:01:00   \n",
-       "3             21FLPNS_WQX-1523813F1        2013-07-30               09:01:00   \n",
-       "4             21FLPNS_WQX-1520121F1        2013-07-16               09:01:00   \n",
-       "...                             ...               ...                    ...   \n",
-       "93555     21AWIC-336359_1875480_173        2024-03-21               10:30:00   \n",
-       "93556     21AWIC-335637_1872454_173        2024-03-06               07:20:00   \n",
-       "93557     21AWIC-335647_1872428_173        2024-03-06               09:20:00   \n",
-       "93558     21AWIC-335642_1872423_173        2024-03-06               07:45:00   \n",
-       "93559     21AWIC-335642_1872426_173        2024-03-06               07:45:00   \n",
+       "                             ActivityIdentifier ActivityStartDate  \\\n",
+       "0                  21FLCBA_WQX-BAS219848-162813        2013-09-23   \n",
+       "1                         21FLPNS_WQX-1520821F1        2013-07-23   \n",
+       "2                         21FLPNS_WQX-1540508F1        2013-09-30   \n",
+       "3                         21FLPNS_WQX-1523813F1        2013-07-30   \n",
+       "4                         21FLPNS_WQX-1520121F1        2013-07-16   \n",
+       "...                                         ...               ...   \n",
+       "97929                 21AWIC-335647_1872428_173        2024-03-06   \n",
+       "97930                 21AWIC-335642_1872423_173        2024-03-06   \n",
+       "97931                 21AWIC-335642_1872426_173        2024-03-06   \n",
+       "97932  21FLCBA_WQX-EACH-202/07/2024 12:071.683T        2024-02-07   \n",
+       "97933         21FLPNS_WQX-G4NW0022-02/21/24-FP1        2024-02-21   \n",
        "\n",
-       "      ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier  \\\n",
-       "0                                CST            21FLCBA_WQX-BAS02   \n",
-       "1                                EST         21FLPNS_WQX-33030019   \n",
-       "2                                EST         21FLPNS_WQX-330300G9   \n",
-       "3                                EST         21FLPNS_WQX-33010H24   \n",
-       "4                                EST         21FLPNS_WQX-33010G10   \n",
-       "...                              ...                          ...   \n",
-       "93555                            CDT                  21AWIC-1606   \n",
-       "93556                            CDT                  21AWIC-9631   \n",
-       "93557                            CDT                  21AWIC-7290   \n",
-       "93558                            CDT                  21AWIC-1208   \n",
-       "93559                            CDT                  21AWIC-1208   \n",
+       "      ActivityStartTime/Time ActivityStartTime/TimeZoneCode  \\\n",
+       "0                   17:15:00                            CST   \n",
+       "1                   11:01:00                            EST   \n",
+       "2                   11:01:00                            EST   \n",
+       "3                   09:01:00                            EST   \n",
+       "4                   09:01:00                            EST   \n",
+       "...                      ...                            ...   \n",
+       "97929               09:20:00                            CDT   \n",
+       "97930               07:45:00                            CDT   \n",
+       "97931               07:45:00                            CDT   \n",
+       "97932               12:07:00                            CST   \n",
+       "97933               13:55:00                            EST   \n",
        "\n",
-       "        ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
-       "0       STORET-760593202             NaN                          NaN  ...   \n",
-       "1       STORET-308146799             NaN                          NaN  ...   \n",
-       "2       STORET-308177562             NaN                          NaN  ...   \n",
-       "3       STORET-308173571             NaN                          NaN  ...   \n",
-       "4       STORET-308247950             NaN                          NaN  ...   \n",
-       "...                  ...             ...                          ...  ...   \n",
-       "93555  STORET-1039481562       1875480.0                          NaN  ...   \n",
-       "93556  STORET-1039486378       1872454.0                          NaN  ...   \n",
-       "93557  STORET-1039485360       1872428.0                          NaN  ...   \n",
-       "93558  STORET-1039486410       1872423.0                          NaN  ...   \n",
-       "93559  STORET-1039486431       1872426.0                          NaN  ...   \n",
+       "      MonitoringLocationIdentifier   ResultIdentifier  DataLoggerLine  \\\n",
+       "0                21FLCBA_WQX-BAS02   STORET-760593202             NaN   \n",
+       "1             21FLPNS_WQX-33030019   STORET-308146799             NaN   \n",
+       "2             21FLPNS_WQX-330300G9   STORET-308177562             NaN   \n",
+       "3             21FLPNS_WQX-33010H24   STORET-308173571             NaN   \n",
+       "4             21FLPNS_WQX-33010G10   STORET-308247950             NaN   \n",
+       "...                            ...                ...             ...   \n",
+       "97929                  21AWIC-7290  STORET-1039485360       1872428.0   \n",
+       "97930                  21AWIC-1208  STORET-1039486410       1872423.0   \n",
+       "97931                  21AWIC-1208  STORET-1039486431       1872426.0   \n",
+       "97932   21FLCBA_WQX-OKA-CB-BEACH-2  STORET-1043866716             NaN   \n",
+       "97933         21FLPNS_WQX-G4NW0022  STORET-1042728107             NaN   \n",
        "\n",
-       "       AnalysisEndTime/TimeZoneCode ResultLaboratoryCommentCode  \\\n",
-       "0                               NaN                         NaN   \n",
-       "1                               NaN                         NaN   \n",
-       "2                               NaN                         NaN   \n",
-       "3                               NaN                         NaN   \n",
-       "4                               NaN                         NaN   \n",
-       "...                             ...                         ...   \n",
-       "93555                           NaN                         NaN   \n",
-       "93556                           NaN                         NaN   \n",
-       "93557                           NaN                         NaN   \n",
-       "93558                           NaN                         NaN   \n",
-       "93559                           NaN                         NaN   \n",
+       "      ResultDetectionConditionText  ...  AnalysisEndTime/TimeZoneCode  \\\n",
+       "0                              NaN  ...                           NaN   \n",
+       "1                              NaN  ...                           NaN   \n",
+       "2                              NaN  ...                           NaN   \n",
+       "3                              NaN  ...                           NaN   \n",
+       "4                              NaN  ...                           NaN   \n",
+       "...                            ...  ...                           ...   \n",
+       "97929                          NaN  ...                           NaN   \n",
+       "97930                          NaN  ...                           NaN   \n",
+       "97931                          NaN  ...                           NaN   \n",
+       "97932                          NaN  ...                           NaN   \n",
+       "97933                          NaN  ...                           NaN   \n",
        "\n",
-       "      ResultLaboratoryCommentText ResultDetectionQuantitationLimitUrl  \\\n",
-       "0                             NaN                                 NaN   \n",
-       "1                             NaN                                 NaN   \n",
-       "2                             NaN                                 NaN   \n",
-       "3                             NaN                                 NaN   \n",
-       "4                             NaN                                 NaN   \n",
-       "...                           ...                                 ...   \n",
-       "93555                         NaN                                 NaN   \n",
-       "93556                         NaN                                 NaN   \n",
-       "93557                         NaN                                 NaN   \n",
-       "93558                         NaN                                 NaN   \n",
-       "93559                         NaN                                 NaN   \n",
+       "      ResultLaboratoryCommentCode ResultLaboratoryCommentText  \\\n",
+       "0                             NaN                         NaN   \n",
+       "1                             NaN                         NaN   \n",
+       "2                             NaN                         NaN   \n",
+       "3                             NaN                         NaN   \n",
+       "4                             NaN                         NaN   \n",
+       "...                           ...                         ...   \n",
+       "97929                         NaN                         NaN   \n",
+       "97930                         NaN                         NaN   \n",
+       "97931                         NaN                         NaN   \n",
+       "97932                         NaN                         NaN   \n",
+       "97933                         NaN                         NaN   \n",
        "\n",
-       "      LaboratoryAccreditationIndicator  LaboratoryAccreditationAuthorityName  \\\n",
-       "0                                  NaN                                   NaN   \n",
-       "1                                  NaN                                   NaN   \n",
-       "2                                  NaN                                   NaN   \n",
-       "3                                  NaN                                   NaN   \n",
-       "4                                  NaN                                   NaN   \n",
-       "...                                ...                                   ...   \n",
-       "93555                              NaN                                   NaN   \n",
-       "93556                              NaN                                   NaN   \n",
-       "93557                              NaN                                   NaN   \n",
-       "93558                              NaN                                   NaN   \n",
-       "93559                              NaN                                   NaN   \n",
+       "      ResultDetectionQuantitationLimitUrl LaboratoryAccreditationIndicator  \\\n",
+       "0                                     NaN                              NaN   \n",
+       "1                                     NaN                              NaN   \n",
+       "2                                     NaN                              NaN   \n",
+       "3                                     NaN                              NaN   \n",
+       "4                                     NaN                              NaN   \n",
+       "...                                   ...                              ...   \n",
+       "97929                                 NaN                              NaN   \n",
+       "97930                                 NaN                              NaN   \n",
+       "97931                                 NaN                              NaN   \n",
+       "97932                                 NaN                              NaN   \n",
+       "97933                                 NaN                              NaN   \n",
        "\n",
-       "      TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName  \\\n",
-       "0                                  NaN                                  NaN   \n",
-       "1                                  NaN                                  NaN   \n",
-       "2                                  NaN                                  NaN   \n",
-       "3                                  NaN                                  NaN   \n",
-       "4                                  NaN                                  NaN   \n",
-       "...                                ...                                  ...   \n",
-       "93555                              NaN                                  NaN   \n",
-       "93556                              NaN                                  NaN   \n",
-       "93557                              NaN                                  NaN   \n",
-       "93558                              NaN                                  NaN   \n",
-       "93559                              NaN                                  NaN   \n",
+       "       LaboratoryAccreditationAuthorityName TaxonomistAccreditationIndicator  \\\n",
+       "0                                       NaN                              NaN   \n",
+       "1                                       NaN                              NaN   \n",
+       "2                                       NaN                              NaN   \n",
+       "3                                       NaN                              NaN   \n",
+       "4                                       NaN                              NaN   \n",
+       "...                                     ...                              ...   \n",
+       "97929                                   NaN                              NaN   \n",
+       "97930                                   NaN                              NaN   \n",
+       "97931                                   NaN                              NaN   \n",
+       "97932                                   NaN                              NaN   \n",
+       "97933                                   NaN                              NaN   \n",
        "\n",
-       "      LabSamplePreparationUrl  ProviderName  \n",
-       "0                         NaN        STORET  \n",
-       "1                         NaN        STORET  \n",
-       "2                         NaN        STORET  \n",
-       "3                         NaN        STORET  \n",
-       "4                         NaN        STORET  \n",
-       "...                       ...           ...  \n",
-       "93555                     NaN        STORET  \n",
-       "93556                     NaN        STORET  \n",
-       "93557                     NaN        STORET  \n",
-       "93558                     NaN        STORET  \n",
-       "93559                     NaN        STORET  \n",
+       "      TaxonomistAccreditationAuthorityName LabSamplePreparationUrl  \\\n",
+       "0                                      NaN                     NaN   \n",
+       "1                                      NaN                     NaN   \n",
+       "2                                      NaN                     NaN   \n",
+       "3                                      NaN                     NaN   \n",
+       "4                                      NaN                     NaN   \n",
+       "...                                    ...                     ...   \n",
+       "97929                                  NaN                     NaN   \n",
+       "97930                                  NaN                     NaN   \n",
+       "97931                                  NaN                     NaN   \n",
+       "97932                                  NaN                     NaN   \n",
+       "97933                                  NaN                     NaN   \n",
        "\n",
-       "[93560 rows x 78 columns]"
+       "       ProviderName  \n",
+       "0            STORET  \n",
+       "1            STORET  \n",
+       "2            STORET  \n",
+       "3            STORET  \n",
+       "4            STORET  \n",
+       "...             ...  \n",
+       "97929        STORET  \n",
+       "97930        STORET  \n",
+       "97931        STORET  \n",
+       "97932        STORET  \n",
+       "97933        STORET  \n",
+       "\n",
+       "[97934 rows x 78 columns]"
       ]
      },
      "execution_count": 6,
@@ -676,10 +689,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:14:59.707520Z",
-     "iopub.status.busy": "2024-09-05T03:14:59.707342Z",
-     "iopub.status.idle": "2024-09-05T03:14:59.709940Z",
-     "shell.execute_reply": "2024-09-05T03:14:59.709454Z"
+     "iopub.execute_input": "2024-11-05T03:08:14.845362Z",
+     "iopub.status.busy": "2024-11-05T03:08:14.844918Z",
+     "iopub.status.idle": "2024-11-05T03:08:14.847604Z",
+     "shell.execute_reply": "2024-11-05T03:08:14.847176Z"
     }
    },
    "outputs": [],
@@ -693,10 +706,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:14:59.711751Z",
-     "iopub.status.busy": "2024-09-05T03:14:59.711581Z",
-     "iopub.status.idle": "2024-09-05T03:15:01.795137Z",
-     "shell.execute_reply": "2024-09-05T03:15:01.794550Z"
+     "iopub.execute_input": "2024-11-05T03:08:14.849262Z",
+     "iopub.status.busy": "2024-11-05T03:08:14.849089Z",
+     "iopub.status.idle": "2024-11-05T03:08:17.147051Z",
+     "shell.execute_reply": "2024-11-05T03:08:17.146513Z"
     },
     "hidden": true
    },
@@ -891,16 +904,16 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93555</th>\n",
+       "      <th>97929</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-336359_1875480_173</td>\n",
-       "      <td>2024-03-21</td>\n",
-       "      <td>10:30:00</td>\n",
+       "      <td>21AWIC-335647_1872428_173</td>\n",
+       "      <td>2024-03-06</td>\n",
+       "      <td>09:20:00</td>\n",
        "      <td>CDT</td>\n",
-       "      <td>21AWIC-1606</td>\n",
-       "      <td>STORET-1039481562</td>\n",
-       "      <td>1875480.0</td>\n",
+       "      <td>21AWIC-7290</td>\n",
+       "      <td>STORET-1039485360</td>\n",
+       "      <td>1872428.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -912,19 +925,19 @@
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>14.93 degree_Celsius</td>\n",
+       "      <td>18.8128 degree_Celsius</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93556</th>\n",
+       "      <th>97930</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335637_1872454_173</td>\n",
+       "      <td>21AWIC-335642_1872423_173</td>\n",
        "      <td>2024-03-06</td>\n",
-       "      <td>07:20:00</td>\n",
+       "      <td>07:45:00</td>\n",
        "      <td>CDT</td>\n",
-       "      <td>21AWIC-9631</td>\n",
-       "      <td>STORET-1039486378</td>\n",
-       "      <td>1872454.0</td>\n",
+       "      <td>21AWIC-1208</td>\n",
+       "      <td>STORET-1039486410</td>\n",
+       "      <td>1872423.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -936,19 +949,19 @@
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>18.1337 degree_Celsius</td>\n",
+       "      <td>19.1005 degree_Celsius</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93557</th>\n",
+       "      <th>97931</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335647_1872428_173</td>\n",
+       "      <td>21AWIC-335642_1872426_173</td>\n",
        "      <td>2024-03-06</td>\n",
-       "      <td>09:20:00</td>\n",
+       "      <td>07:45:00</td>\n",
        "      <td>CDT</td>\n",
-       "      <td>21AWIC-7290</td>\n",
-       "      <td>STORET-1039485360</td>\n",
-       "      <td>1872428.0</td>\n",
+       "      <td>21AWIC-1208</td>\n",
+       "      <td>STORET-1039486431</td>\n",
+       "      <td>1872426.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -960,19 +973,19 @@
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>18.8128 degree_Celsius</td>\n",
+       "      <td>19.2875 degree_Celsius</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93558</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335642_1872423_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>CDT</td>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>STORET-1039486410</td>\n",
-       "      <td>1872423.0</td>\n",
+       "      <th>97932</th>\n",
+       "      <td>21FLCBA_WQX</td>\n",
+       "      <td>CHOCTAWHATCHEE BASIN ALLIANCE</td>\n",
+       "      <td>21FLCBA_WQX-EACH-202/07/2024 12:071.683T</td>\n",
+       "      <td>2024-02-07</td>\n",
+       "      <td>12:07:00</td>\n",
+       "      <td>CST</td>\n",
+       "      <td>21FLCBA_WQX-OKA-CB-BEACH-2</td>\n",
+       "      <td>STORET-1043866716</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -984,19 +997,19 @@
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>19.1005 degree_Celsius</td>\n",
+       "      <td>13.888888888888914 degree_Celsius</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93559</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335642_1872426_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>CDT</td>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>STORET-1039486431</td>\n",
-       "      <td>1872426.0</td>\n",
+       "      <th>97933</th>\n",
+       "      <td>21FLPNS_WQX</td>\n",
+       "      <td>FL Dept. of Environmental Protection, Northwes...</td>\n",
+       "      <td>21FLPNS_WQX-G4NW0022-02/21/24-FP1</td>\n",
+       "      <td>2024-02-21</td>\n",
+       "      <td>13:55:00</td>\n",
+       "      <td>EST</td>\n",
+       "      <td>21FLPNS_WQX-G4NW0022</td>\n",
+       "      <td>STORET-1042728107</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1007,12 +1020,12 @@
        "      <td>NaN</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>0.58 meter</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>19.2875 degree_Celsius</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>93560 rows × 81 columns</p>\n",
+       "<p>97934 rows × 81 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1023,11 +1036,11 @@
        "3                21FLPNS_WQX   \n",
        "4                21FLPNS_WQX   \n",
        "...                      ...   \n",
-       "93555                 21AWIC   \n",
-       "93556                 21AWIC   \n",
-       "93557                 21AWIC   \n",
-       "93558                 21AWIC   \n",
-       "93559                 21AWIC   \n",
+       "97929                 21AWIC   \n",
+       "97930                 21AWIC   \n",
+       "97931                 21AWIC   \n",
+       "97932            21FLCBA_WQX   \n",
+       "97933            21FLPNS_WQX   \n",
        "\n",
        "                                  OrganizationFormalName  \\\n",
        "0                          CHOCTAWHATCHEE BASIN ALLIANCE   \n",
@@ -1036,104 +1049,117 @@
        "3      FL Dept. of Environmental Protection, Northwes...   \n",
        "4      FL Dept. of Environmental Protection, Northwes...   \n",
        "...                                                  ...   \n",
-       "93555  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93556  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93557  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93558  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93559  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97929  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97930  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97931  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97932                      CHOCTAWHATCHEE BASIN ALLIANCE   \n",
+       "97933  FL Dept. of Environmental Protection, Northwes...   \n",
        "\n",
-       "                 ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
-       "0      21FLCBA_WQX-BAS219848-162813        2013-09-23               17:15:00   \n",
-       "1             21FLPNS_WQX-1520821F1        2013-07-23               11:01:00   \n",
-       "2             21FLPNS_WQX-1540508F1        2013-09-30               11:01:00   \n",
-       "3             21FLPNS_WQX-1523813F1        2013-07-30               09:01:00   \n",
-       "4             21FLPNS_WQX-1520121F1        2013-07-16               09:01:00   \n",
-       "...                             ...               ...                    ...   \n",
-       "93555     21AWIC-336359_1875480_173        2024-03-21               10:30:00   \n",
-       "93556     21AWIC-335637_1872454_173        2024-03-06               07:20:00   \n",
-       "93557     21AWIC-335647_1872428_173        2024-03-06               09:20:00   \n",
-       "93558     21AWIC-335642_1872423_173        2024-03-06               07:45:00   \n",
-       "93559     21AWIC-335642_1872426_173        2024-03-06               07:45:00   \n",
+       "                             ActivityIdentifier ActivityStartDate  \\\n",
+       "0                  21FLCBA_WQX-BAS219848-162813        2013-09-23   \n",
+       "1                         21FLPNS_WQX-1520821F1        2013-07-23   \n",
+       "2                         21FLPNS_WQX-1540508F1        2013-09-30   \n",
+       "3                         21FLPNS_WQX-1523813F1        2013-07-30   \n",
+       "4                         21FLPNS_WQX-1520121F1        2013-07-16   \n",
+       "...                                         ...               ...   \n",
+       "97929                 21AWIC-335647_1872428_173        2024-03-06   \n",
+       "97930                 21AWIC-335642_1872423_173        2024-03-06   \n",
+       "97931                 21AWIC-335642_1872426_173        2024-03-06   \n",
+       "97932  21FLCBA_WQX-EACH-202/07/2024 12:071.683T        2024-02-07   \n",
+       "97933         21FLPNS_WQX-G4NW0022-02/21/24-FP1        2024-02-21   \n",
        "\n",
-       "      ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier  \\\n",
-       "0                                CST            21FLCBA_WQX-BAS02   \n",
-       "1                                EST         21FLPNS_WQX-33030019   \n",
-       "2                                EST         21FLPNS_WQX-330300G9   \n",
-       "3                                EST         21FLPNS_WQX-33010H24   \n",
-       "4                                EST         21FLPNS_WQX-33010G10   \n",
-       "...                              ...                          ...   \n",
-       "93555                            CDT                  21AWIC-1606   \n",
-       "93556                            CDT                  21AWIC-9631   \n",
-       "93557                            CDT                  21AWIC-7290   \n",
-       "93558                            CDT                  21AWIC-1208   \n",
-       "93559                            CDT                  21AWIC-1208   \n",
+       "      ActivityStartTime/Time ActivityStartTime/TimeZoneCode  \\\n",
+       "0                   17:15:00                            CST   \n",
+       "1                   11:01:00                            EST   \n",
+       "2                   11:01:00                            EST   \n",
+       "3                   09:01:00                            EST   \n",
+       "4                   09:01:00                            EST   \n",
+       "...                      ...                            ...   \n",
+       "97929               09:20:00                            CDT   \n",
+       "97930               07:45:00                            CDT   \n",
+       "97931               07:45:00                            CDT   \n",
+       "97932               12:07:00                            CST   \n",
+       "97933               13:55:00                            EST   \n",
        "\n",
-       "        ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
-       "0       STORET-760593202             NaN                          NaN  ...   \n",
-       "1       STORET-308146799             NaN                          NaN  ...   \n",
-       "2       STORET-308177562             NaN                          NaN  ...   \n",
-       "3       STORET-308173571             NaN                          NaN  ...   \n",
-       "4       STORET-308247950             NaN                          NaN  ...   \n",
-       "...                  ...             ...                          ...  ...   \n",
-       "93555  STORET-1039481562       1875480.0                          NaN  ...   \n",
-       "93556  STORET-1039486378       1872454.0                          NaN  ...   \n",
-       "93557  STORET-1039485360       1872428.0                          NaN  ...   \n",
-       "93558  STORET-1039486410       1872423.0                          NaN  ...   \n",
-       "93559  STORET-1039486431       1872426.0                          NaN  ...   \n",
+       "      MonitoringLocationIdentifier   ResultIdentifier  DataLoggerLine  \\\n",
+       "0                21FLCBA_WQX-BAS02   STORET-760593202             NaN   \n",
+       "1             21FLPNS_WQX-33030019   STORET-308146799             NaN   \n",
+       "2             21FLPNS_WQX-330300G9   STORET-308177562             NaN   \n",
+       "3             21FLPNS_WQX-33010H24   STORET-308173571             NaN   \n",
+       "4             21FLPNS_WQX-33010G10   STORET-308247950             NaN   \n",
+       "...                            ...                ...             ...   \n",
+       "97929                  21AWIC-7290  STORET-1039485360       1872428.0   \n",
+       "97930                  21AWIC-1208  STORET-1039486410       1872423.0   \n",
+       "97931                  21AWIC-1208  STORET-1039486431       1872426.0   \n",
+       "97932   21FLCBA_WQX-OKA-CB-BEACH-2  STORET-1043866716             NaN   \n",
+       "97933         21FLPNS_WQX-G4NW0022  STORET-1042728107             NaN   \n",
        "\n",
-       "       ResultDetectionQuantitationLimitUrl LaboratoryAccreditationIndicator  \\\n",
-       "0                                      NaN                              NaN   \n",
-       "1                                      NaN                              NaN   \n",
-       "2                                      NaN                              NaN   \n",
-       "3                                      NaN                              NaN   \n",
-       "4                                      NaN                              NaN   \n",
-       "...                                    ...                              ...   \n",
-       "93555                                  NaN                              NaN   \n",
-       "93556                                  NaN                              NaN   \n",
-       "93557                                  NaN                              NaN   \n",
-       "93558                                  NaN                              NaN   \n",
-       "93559                                  NaN                              NaN   \n",
+       "      ResultDetectionConditionText  ...  ResultDetectionQuantitationLimitUrl  \\\n",
+       "0                              NaN  ...                                  NaN   \n",
+       "1                              NaN  ...                                  NaN   \n",
+       "2                              NaN  ...                                  NaN   \n",
+       "3                              NaN  ...                                  NaN   \n",
+       "4                              NaN  ...                                  NaN   \n",
+       "...                            ...  ...                                  ...   \n",
+       "97929                          NaN  ...                                  NaN   \n",
+       "97930                          NaN  ...                                  NaN   \n",
+       "97931                          NaN  ...                                  NaN   \n",
+       "97932                          NaN  ...                                  NaN   \n",
+       "97933                          NaN  ...                                  NaN   \n",
        "\n",
-       "      LaboratoryAccreditationAuthorityName TaxonomistAccreditationIndicator  \\\n",
-       "0                                      NaN                              NaN   \n",
-       "1                                      NaN                              NaN   \n",
-       "2                                      NaN                              NaN   \n",
-       "3                                      NaN                              NaN   \n",
-       "4                                      NaN                              NaN   \n",
-       "...                                    ...                              ...   \n",
-       "93555                                  NaN                              NaN   \n",
-       "93556                                  NaN                              NaN   \n",
-       "93557                                  NaN                              NaN   \n",
-       "93558                                  NaN                              NaN   \n",
-       "93559                                  NaN                              NaN   \n",
+       "      LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName  \\\n",
+       "0                                  NaN                                  NaN   \n",
+       "1                                  NaN                                  NaN   \n",
+       "2                                  NaN                                  NaN   \n",
+       "3                                  NaN                                  NaN   \n",
+       "4                                  NaN                                  NaN   \n",
+       "...                                ...                                  ...   \n",
+       "97929                              NaN                                  NaN   \n",
+       "97930                              NaN                                  NaN   \n",
+       "97931                              NaN                                  NaN   \n",
+       "97932                              NaN                                  NaN   \n",
+       "97933                              NaN                                  NaN   \n",
+       "\n",
+       "      TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName  \\\n",
+       "0                                  NaN                                  NaN   \n",
+       "1                                  NaN                                  NaN   \n",
+       "2                                  NaN                                  NaN   \n",
+       "3                                  NaN                                  NaN   \n",
+       "4                                  NaN                                  NaN   \n",
+       "...                                ...                                  ...   \n",
+       "97929                              NaN                                  NaN   \n",
+       "97930                              NaN                                  NaN   \n",
+       "97931                              NaN                                  NaN   \n",
+       "97932                              NaN                                  NaN   \n",
+       "97933                              NaN                                  NaN   \n",
        "\n",
-       "      TaxonomistAccreditationAuthorityName  LabSamplePreparationUrl  \\\n",
-       "0                                      NaN                      NaN   \n",
-       "1                                      NaN                      NaN   \n",
-       "2                                      NaN                      NaN   \n",
-       "3                                      NaN                      NaN   \n",
-       "4                                      NaN                      NaN   \n",
-       "...                                    ...                      ...   \n",
-       "93555                                  NaN                      NaN   \n",
-       "93556                                  NaN                      NaN   \n",
-       "93557                                  NaN                      NaN   \n",
-       "93558                                  NaN                      NaN   \n",
-       "93559                                  NaN                      NaN   \n",
+       "       LabSamplePreparationUrl ProviderName QA_flag      Secchi  \\\n",
+       "0                          NaN       STORET     NaN         NaN   \n",
+       "1                          NaN       STORET     NaN         NaN   \n",
+       "2                          NaN       STORET     NaN         NaN   \n",
+       "3                          NaN       STORET     NaN         NaN   \n",
+       "4                          NaN       STORET     NaN         NaN   \n",
+       "...                        ...          ...     ...         ...   \n",
+       "97929                      NaN       STORET     NaN         NaN   \n",
+       "97930                      NaN       STORET     NaN         NaN   \n",
+       "97931                      NaN       STORET     NaN         NaN   \n",
+       "97932                      NaN       STORET     NaN         NaN   \n",
+       "97933                      NaN       STORET     NaN  0.58 meter   \n",
        "\n",
-       "      ProviderName QA_flag Secchi                      Temperature  \n",
-       "0           STORET     NaN    NaN  26.0555555555556 degree_Celsius  \n",
-       "1           STORET     NaN    NaN             23.12 degree_Celsius  \n",
-       "2           STORET     NaN    NaN             16.43 degree_Celsius  \n",
-       "3           STORET     NaN    NaN             29.78 degree_Celsius  \n",
-       "4           STORET     NaN    NaN             26.72 degree_Celsius  \n",
-       "...            ...     ...    ...                              ...  \n",
-       "93555       STORET     NaN    NaN             14.93 degree_Celsius  \n",
-       "93556       STORET     NaN    NaN           18.1337 degree_Celsius  \n",
-       "93557       STORET     NaN    NaN           18.8128 degree_Celsius  \n",
-       "93558       STORET     NaN    NaN           19.1005 degree_Celsius  \n",
-       "93559       STORET     NaN    NaN           19.2875 degree_Celsius  \n",
+       "                             Temperature  \n",
+       "0        26.0555555555556 degree_Celsius  \n",
+       "1                   23.12 degree_Celsius  \n",
+       "2                   16.43 degree_Celsius  \n",
+       "3                   29.78 degree_Celsius  \n",
+       "4                   26.72 degree_Celsius  \n",
+       "...                                  ...  \n",
+       "97929             18.8128 degree_Celsius  \n",
+       "97930             19.1005 degree_Celsius  \n",
+       "97931             19.2875 degree_Celsius  \n",
+       "97932  13.888888888888914 degree_Celsius  \n",
+       "97933                                NaN  \n",
        "\n",
-       "[93560 rows x 81 columns]"
+       "[97934 rows x 81 columns]"
       ]
      },
      "execution_count": 8,
@@ -1152,10 +1178,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:15:01.797457Z",
-     "iopub.status.busy": "2024-09-05T03:15:01.797267Z",
-     "iopub.status.idle": "2024-09-05T03:15:02.561786Z",
-     "shell.execute_reply": "2024-09-05T03:15:02.561198Z"
+     "iopub.execute_input": "2024-11-05T03:08:17.148872Z",
+     "iopub.status.busy": "2024-11-05T03:08:17.148701Z",
+     "iopub.status.idle": "2024-11-05T03:08:17.965248Z",
+     "shell.execute_reply": "2024-11-05T03:08:17.964636Z"
     }
    },
    "outputs": [
@@ -1163,7 +1189,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 9057 incomplete dates found, consider setting datetime_index to False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 9057 incomplete dates found, consider setting datetime_index to False.\n",
       "  warnings.warn(\n"
      ]
     },
@@ -1357,16 +1383,16 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93555</th>\n",
+       "      <th>97929</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-336359_1875480_173</td>\n",
-       "      <td>2024-03-21</td>\n",
-       "      <td>10:30:00</td>\n",
+       "      <td>21AWIC-335647_1872428_173</td>\n",
+       "      <td>2024-03-06</td>\n",
+       "      <td>09:20:00</td>\n",
        "      <td>-0500</td>\n",
-       "      <td>21AWIC-1606</td>\n",
-       "      <td>STORET-1039481562</td>\n",
-       "      <td>1875480.0</td>\n",
+       "      <td>21AWIC-7290</td>\n",
+       "      <td>STORET-1039485360</td>\n",
+       "      <td>1872428.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1376,21 +1402,21 @@
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>14.93 degree_Celsius</td>\n",
-       "      <td>2024-03-21 15:30:00+00:00</td>\n",
+       "      <td>18.8128 degree_Celsius</td>\n",
+       "      <td>2024-03-06 14:20:00+00:00</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93556</th>\n",
+       "      <th>97930</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335637_1872454_173</td>\n",
+       "      <td>21AWIC-335642_1872423_173</td>\n",
        "      <td>2024-03-06</td>\n",
-       "      <td>07:20:00</td>\n",
+       "      <td>07:45:00</td>\n",
        "      <td>-0500</td>\n",
-       "      <td>21AWIC-9631</td>\n",
-       "      <td>STORET-1039486378</td>\n",
-       "      <td>1872454.0</td>\n",
+       "      <td>21AWIC-1208</td>\n",
+       "      <td>STORET-1039486410</td>\n",
+       "      <td>1872423.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1400,21 +1426,21 @@
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>18.1337 degree_Celsius</td>\n",
-       "      <td>2024-03-06 12:20:00+00:00</td>\n",
+       "      <td>19.1005 degree_Celsius</td>\n",
+       "      <td>2024-03-06 12:45:00+00:00</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93557</th>\n",
+       "      <th>97931</th>\n",
        "      <td>21AWIC</td>\n",
        "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335647_1872428_173</td>\n",
+       "      <td>21AWIC-335642_1872426_173</td>\n",
        "      <td>2024-03-06</td>\n",
-       "      <td>09:20:00</td>\n",
+       "      <td>07:45:00</td>\n",
        "      <td>-0500</td>\n",
-       "      <td>21AWIC-7290</td>\n",
-       "      <td>STORET-1039485360</td>\n",
-       "      <td>1872428.0</td>\n",
+       "      <td>21AWIC-1208</td>\n",
+       "      <td>STORET-1039486431</td>\n",
+       "      <td>1872426.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1424,21 +1450,21 @@
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>18.8128 degree_Celsius</td>\n",
-       "      <td>2024-03-06 14:20:00+00:00</td>\n",
+       "      <td>19.2875 degree_Celsius</td>\n",
+       "      <td>2024-03-06 12:45:00+00:00</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93558</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335642_1872423_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
-       "      <td>-0500</td>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>STORET-1039486410</td>\n",
-       "      <td>1872423.0</td>\n",
+       "      <th>97932</th>\n",
+       "      <td>21FLCBA_WQX</td>\n",
+       "      <td>CHOCTAWHATCHEE BASIN ALLIANCE</td>\n",
+       "      <td>21FLCBA_WQX-EACH-202/07/2024 12:071.683T</td>\n",
+       "      <td>2024-02-07</td>\n",
+       "      <td>12:07:00</td>\n",
+       "      <td>-0600</td>\n",
+       "      <td>21FLCBA_WQX-OKA-CB-BEACH-2</td>\n",
+       "      <td>STORET-1043866716</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1448,21 +1474,21 @@
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>19.1005 degree_Celsius</td>\n",
-       "      <td>2024-03-06 12:45:00+00:00</td>\n",
+       "      <td>13.888888888888914 degree_Celsius</td>\n",
+       "      <td>2024-02-07 18:07:00+00:00</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>93559</th>\n",
-       "      <td>21AWIC</td>\n",
-       "      <td>ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...</td>\n",
-       "      <td>21AWIC-335642_1872426_173</td>\n",
-       "      <td>2024-03-06</td>\n",
-       "      <td>07:45:00</td>\n",
+       "      <th>97933</th>\n",
+       "      <td>21FLPNS_WQX</td>\n",
+       "      <td>FL Dept. of Environmental Protection, Northwes...</td>\n",
+       "      <td>21FLPNS_WQX-G4NW0022-02/21/24-FP1</td>\n",
+       "      <td>2024-02-21</td>\n",
+       "      <td>13:55:00</td>\n",
        "      <td>-0500</td>\n",
-       "      <td>21AWIC-1208</td>\n",
-       "      <td>STORET-1039486431</td>\n",
-       "      <td>1872426.0</td>\n",
+       "      <td>21FLPNS_WQX-G4NW0022</td>\n",
+       "      <td>STORET-1042728107</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
@@ -1471,14 +1497,14 @@
        "      <td>NaN</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>0.58 meter</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>19.2875 degree_Celsius</td>\n",
-       "      <td>2024-03-06 12:45:00+00:00</td>\n",
+       "      <td>2024-02-21 18:55:00+00:00</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>93560 rows × 83 columns</p>\n",
+       "<p>97934 rows × 83 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1489,11 +1515,11 @@
        "3                21FLPNS_WQX   \n",
        "4                21FLPNS_WQX   \n",
        "...                      ...   \n",
-       "93555                 21AWIC   \n",
-       "93556                 21AWIC   \n",
-       "93557                 21AWIC   \n",
-       "93558                 21AWIC   \n",
-       "93559                 21AWIC   \n",
+       "97929                 21AWIC   \n",
+       "97930                 21AWIC   \n",
+       "97931                 21AWIC   \n",
+       "97932            21FLCBA_WQX   \n",
+       "97933            21FLPNS_WQX   \n",
        "\n",
        "                                  OrganizationFormalName  \\\n",
        "0                          CHOCTAWHATCHEE BASIN ALLIANCE   \n",
@@ -1502,104 +1528,104 @@
        "3      FL Dept. of Environmental Protection, Northwes...   \n",
        "4      FL Dept. of Environmental Protection, Northwes...   \n",
        "...                                                  ...   \n",
-       "93555  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93556  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93557  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93558  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
-       "93559  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97929  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97930  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97931  ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...   \n",
+       "97932                      CHOCTAWHATCHEE BASIN ALLIANCE   \n",
+       "97933  FL Dept. of Environmental Protection, Northwes...   \n",
        "\n",
-       "                 ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
-       "0      21FLCBA_WQX-BAS219848-162813        2013-09-23               17:15:00   \n",
-       "1             21FLPNS_WQX-1520821F1        2013-07-23               11:01:00   \n",
-       "2             21FLPNS_WQX-1540508F1        2013-09-30               11:01:00   \n",
-       "3             21FLPNS_WQX-1523813F1        2013-07-30               09:01:00   \n",
-       "4             21FLPNS_WQX-1520121F1        2013-07-16               09:01:00   \n",
-       "...                             ...               ...                    ...   \n",
-       "93555     21AWIC-336359_1875480_173        2024-03-21               10:30:00   \n",
-       "93556     21AWIC-335637_1872454_173        2024-03-06               07:20:00   \n",
-       "93557     21AWIC-335647_1872428_173        2024-03-06               09:20:00   \n",
-       "93558     21AWIC-335642_1872423_173        2024-03-06               07:45:00   \n",
-       "93559     21AWIC-335642_1872426_173        2024-03-06               07:45:00   \n",
+       "                             ActivityIdentifier ActivityStartDate  \\\n",
+       "0                  21FLCBA_WQX-BAS219848-162813        2013-09-23   \n",
+       "1                         21FLPNS_WQX-1520821F1        2013-07-23   \n",
+       "2                         21FLPNS_WQX-1540508F1        2013-09-30   \n",
+       "3                         21FLPNS_WQX-1523813F1        2013-07-30   \n",
+       "4                         21FLPNS_WQX-1520121F1        2013-07-16   \n",
+       "...                                         ...               ...   \n",
+       "97929                 21AWIC-335647_1872428_173        2024-03-06   \n",
+       "97930                 21AWIC-335642_1872423_173        2024-03-06   \n",
+       "97931                 21AWIC-335642_1872426_173        2024-03-06   \n",
+       "97932  21FLCBA_WQX-EACH-202/07/2024 12:071.683T        2024-02-07   \n",
+       "97933         21FLPNS_WQX-G4NW0022-02/21/24-FP1        2024-02-21   \n",
        "\n",
-       "      ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier  \\\n",
-       "0                              -0600            21FLCBA_WQX-BAS02   \n",
-       "1                              -0500         21FLPNS_WQX-33030019   \n",
-       "2                              -0500         21FLPNS_WQX-330300G9   \n",
-       "3                              -0500         21FLPNS_WQX-33010H24   \n",
-       "4                              -0500         21FLPNS_WQX-33010G10   \n",
-       "...                              ...                          ...   \n",
-       "93555                          -0500                  21AWIC-1606   \n",
-       "93556                          -0500                  21AWIC-9631   \n",
-       "93557                          -0500                  21AWIC-7290   \n",
-       "93558                          -0500                  21AWIC-1208   \n",
-       "93559                          -0500                  21AWIC-1208   \n",
+       "      ActivityStartTime/Time ActivityStartTime/TimeZoneCode  \\\n",
+       "0                   17:15:00                          -0600   \n",
+       "1                   11:01:00                          -0500   \n",
+       "2                   11:01:00                          -0500   \n",
+       "3                   09:01:00                          -0500   \n",
+       "4                   09:01:00                          -0500   \n",
+       "...                      ...                            ...   \n",
+       "97929               09:20:00                          -0500   \n",
+       "97930               07:45:00                          -0500   \n",
+       "97931               07:45:00                          -0500   \n",
+       "97932               12:07:00                          -0600   \n",
+       "97933               13:55:00                          -0500   \n",
        "\n",
-       "        ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
-       "0       STORET-760593202             NaN                          NaN  ...   \n",
-       "1       STORET-308146799             NaN                          NaN  ...   \n",
-       "2       STORET-308177562             NaN                          NaN  ...   \n",
-       "3       STORET-308173571             NaN                          NaN  ...   \n",
-       "4       STORET-308247950             NaN                          NaN  ...   \n",
-       "...                  ...             ...                          ...  ...   \n",
-       "93555  STORET-1039481562       1875480.0                          NaN  ...   \n",
-       "93556  STORET-1039486378       1872454.0                          NaN  ...   \n",
-       "93557  STORET-1039485360       1872428.0                          NaN  ...   \n",
-       "93558  STORET-1039486410       1872423.0                          NaN  ...   \n",
-       "93559  STORET-1039486431       1872426.0                          NaN  ...   \n",
+       "      MonitoringLocationIdentifier   ResultIdentifier  DataLoggerLine  \\\n",
+       "0                21FLCBA_WQX-BAS02   STORET-760593202             NaN   \n",
+       "1             21FLPNS_WQX-33030019   STORET-308146799             NaN   \n",
+       "2             21FLPNS_WQX-330300G9   STORET-308177562             NaN   \n",
+       "3             21FLPNS_WQX-33010H24   STORET-308173571             NaN   \n",
+       "4             21FLPNS_WQX-33010G10   STORET-308247950             NaN   \n",
+       "...                            ...                ...             ...   \n",
+       "97929                  21AWIC-7290  STORET-1039485360       1872428.0   \n",
+       "97930                  21AWIC-1208  STORET-1039486410       1872423.0   \n",
+       "97931                  21AWIC-1208  STORET-1039486431       1872426.0   \n",
+       "97932   21FLCBA_WQX-OKA-CB-BEACH-2  STORET-1043866716             NaN   \n",
+       "97933         21FLPNS_WQX-G4NW0022  STORET-1042728107             NaN   \n",
        "\n",
-       "       LaboratoryAccreditationAuthorityName TaxonomistAccreditationIndicator  \\\n",
-       "0                                       NaN                              NaN   \n",
-       "1                                       NaN                              NaN   \n",
-       "2                                       NaN                              NaN   \n",
-       "3                                       NaN                              NaN   \n",
-       "4                                       NaN                              NaN   \n",
-       "...                                     ...                              ...   \n",
-       "93555                                   NaN                              NaN   \n",
-       "93556                                   NaN                              NaN   \n",
-       "93557                                   NaN                              NaN   \n",
-       "93558                                   NaN                              NaN   \n",
-       "93559                                   NaN                              NaN   \n",
+       "      ResultDetectionConditionText  ...  LaboratoryAccreditationAuthorityName  \\\n",
+       "0                              NaN  ...                                   NaN   \n",
+       "1                              NaN  ...                                   NaN   \n",
+       "2                              NaN  ...                                   NaN   \n",
+       "3                              NaN  ...                                   NaN   \n",
+       "4                              NaN  ...                                   NaN   \n",
+       "...                            ...  ...                                   ...   \n",
+       "97929                          NaN  ...                                   NaN   \n",
+       "97930                          NaN  ...                                   NaN   \n",
+       "97931                          NaN  ...                                   NaN   \n",
+       "97932                          NaN  ...                                   NaN   \n",
+       "97933                          NaN  ...                                   NaN   \n",
        "\n",
-       "      TaxonomistAccreditationAuthorityName LabSamplePreparationUrl  \\\n",
-       "0                                      NaN                     NaN   \n",
-       "1                                      NaN                     NaN   \n",
-       "2                                      NaN                     NaN   \n",
-       "3                                      NaN                     NaN   \n",
-       "4                                      NaN                     NaN   \n",
-       "...                                    ...                     ...   \n",
-       "93555                                  NaN                     NaN   \n",
-       "93556                                  NaN                     NaN   \n",
-       "93557                                  NaN                     NaN   \n",
-       "93558                                  NaN                     NaN   \n",
-       "93559                                  NaN                     NaN   \n",
+       "      TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName  \\\n",
+       "0                                  NaN                                  NaN   \n",
+       "1                                  NaN                                  NaN   \n",
+       "2                                  NaN                                  NaN   \n",
+       "3                                  NaN                                  NaN   \n",
+       "4                                  NaN                                  NaN   \n",
+       "...                                ...                                  ...   \n",
+       "97929                              NaN                                  NaN   \n",
+       "97930                              NaN                                  NaN   \n",
+       "97931                              NaN                                  NaN   \n",
+       "97932                              NaN                                  NaN   \n",
+       "97933                              NaN                                  NaN   \n",
        "\n",
-       "      ProviderName  QA_flag Secchi                      Temperature  \\\n",
-       "0           STORET      NaN    NaN  26.0555555555556 degree_Celsius   \n",
-       "1           STORET      NaN    NaN             23.12 degree_Celsius   \n",
-       "2           STORET      NaN    NaN             16.43 degree_Celsius   \n",
-       "3           STORET      NaN    NaN             29.78 degree_Celsius   \n",
-       "4           STORET      NaN    NaN             26.72 degree_Celsius   \n",
-       "...            ...      ...    ...                              ...   \n",
-       "93555       STORET      NaN    NaN             14.93 degree_Celsius   \n",
-       "93556       STORET      NaN    NaN           18.1337 degree_Celsius   \n",
-       "93557       STORET      NaN    NaN           18.8128 degree_Celsius   \n",
-       "93558       STORET      NaN    NaN           19.1005 degree_Celsius   \n",
-       "93559       STORET      NaN    NaN           19.2875 degree_Celsius   \n",
+       "      LabSamplePreparationUrl ProviderName  QA_flag      Secchi  \\\n",
+       "0                         NaN       STORET      NaN         NaN   \n",
+       "1                         NaN       STORET      NaN         NaN   \n",
+       "2                         NaN       STORET      NaN         NaN   \n",
+       "3                         NaN       STORET      NaN         NaN   \n",
+       "4                         NaN       STORET      NaN         NaN   \n",
+       "...                       ...          ...      ...         ...   \n",
+       "97929                     NaN       STORET      NaN         NaN   \n",
+       "97930                     NaN       STORET      NaN         NaN   \n",
+       "97931                     NaN       STORET      NaN         NaN   \n",
+       "97932                     NaN       STORET      NaN         NaN   \n",
+       "97933                     NaN       STORET      NaN  0.58 meter   \n",
        "\n",
-       "              Activity_datetime  Depth  \n",
-       "0     2013-09-23 23:15:00+00:00    NaN  \n",
-       "1     2013-07-23 16:01:00+00:00    NaN  \n",
-       "2     2013-09-30 16:01:00+00:00    NaN  \n",
-       "3     2013-07-30 14:01:00+00:00    NaN  \n",
-       "4     2013-07-16 14:01:00+00:00    NaN  \n",
-       "...                         ...    ...  \n",
-       "93555 2024-03-21 15:30:00+00:00    NaN  \n",
-       "93556 2024-03-06 12:20:00+00:00    NaN  \n",
-       "93557 2024-03-06 14:20:00+00:00    NaN  \n",
-       "93558 2024-03-06 12:45:00+00:00    NaN  \n",
-       "93559 2024-03-06 12:45:00+00:00    NaN  \n",
+       "                             Temperature         Activity_datetime  Depth  \n",
+       "0        26.0555555555556 degree_Celsius 2013-09-23 23:15:00+00:00    NaN  \n",
+       "1                   23.12 degree_Celsius 2013-07-23 16:01:00+00:00    NaN  \n",
+       "2                   16.43 degree_Celsius 2013-09-30 16:01:00+00:00    NaN  \n",
+       "3                   29.78 degree_Celsius 2013-07-30 14:01:00+00:00    NaN  \n",
+       "4                   26.72 degree_Celsius 2013-07-16 14:01:00+00:00    NaN  \n",
+       "...                                  ...                       ...    ...  \n",
+       "97929             18.8128 degree_Celsius 2024-03-06 14:20:00+00:00    NaN  \n",
+       "97930             19.1005 degree_Celsius 2024-03-06 12:45:00+00:00    NaN  \n",
+       "97931             19.2875 degree_Celsius 2024-03-06 12:45:00+00:00    NaN  \n",
+       "97932  13.888888888888914 degree_Celsius 2024-02-07 18:07:00+00:00    NaN  \n",
+       "97933                                NaN 2024-02-21 18:55:00+00:00    NaN  \n",
        "\n",
-       "[93560 rows x 83 columns]"
+       "[97934 rows x 83 columns]"
       ]
      },
      "execution_count": 9,
@@ -1637,10 +1663,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:15:02.563941Z",
-     "iopub.status.busy": "2024-09-05T03:15:02.563756Z",
-     "iopub.status.idle": "2024-09-05T03:15:10.295756Z",
-     "shell.execute_reply": "2024-09-05T03:15:10.295222Z"
+     "iopub.execute_input": "2024-11-05T03:08:17.966991Z",
+     "iopub.status.busy": "2024-11-05T03:08:17.966819Z",
+     "iopub.status.idle": "2024-11-05T03:08:26.033727Z",
+     "shell.execute_reply": "2024-11-05T03:08:26.033158Z"
     },
     "hidden": true
    },
@@ -1649,7 +1675,7 @@
      "data": {
       "text/plain": [
        "Index(['OrganizationFormalName', 'ProviderName', 'Secchi', 'Temperature',\n",
-       "       'Depth', 'QA_Temperature', 'QA_Secchi'],\n",
+       "       'Depth', 'QA_Secchi', 'QA_Temperature'],\n",
        "      dtype='object')"
       ]
      },
@@ -1697,10 +1723,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:15:10.297954Z",
-     "iopub.status.busy": "2024-09-05T03:15:10.297747Z",
-     "iopub.status.idle": "2024-09-05T03:15:41.642612Z",
-     "shell.execute_reply": "2024-09-05T03:15:41.642063Z"
+     "iopub.execute_input": "2024-11-05T03:08:26.035496Z",
+     "iopub.status.busy": "2024-11-05T03:08:26.035323Z",
+     "iopub.status.idle": "2024-11-05T03:08:31.647686Z",
+     "shell.execute_reply": "2024-11-05T03:08:31.647195Z"
     },
     "hidden": true
    },
@@ -1718,10 +1744,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:15:41.644885Z",
-     "iopub.status.busy": "2024-09-05T03:15:41.644707Z",
-     "iopub.status.idle": "2024-09-05T03:15:41.933440Z",
-     "shell.execute_reply": "2024-09-05T03:15:41.932967Z"
+     "iopub.execute_input": "2024-11-05T03:08:31.649659Z",
+     "iopub.status.busy": "2024-11-05T03:08:31.649484Z",
+     "iopub.status.idle": "2024-11-05T03:08:31.920980Z",
+     "shell.execute_reply": "2024-11-05T03:08:31.920422Z"
     },
     "hidden": true
    },
@@ -1738,7 +1764,7 @@
     },
     {
      "data": {
-      "image/png": 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BBtEEKaWAxsXjF+cS0WtspBP6YXgza2yMHNQX0WOQiACDbxaudZEcQs+efTih81QYXg8Mb/Z5Mww9PVWSY3pfRHRMmFCAcffdd2PNmjUIh8MIh8Po7OzEL37xC+f1WCyG66+/Hi0tLWhoaMCGDRvQ3d1dcr+vvPIKPvKRjyASiaC+vh5nnnkm3nmnSNY50QxTniAQWa6HAMSa/WAmdZKnmYTuvjAA5dVLi4sJRN/Ua5cca5KDJeuBRDrm4bjTV8Pw5O+lUIYBpUyg9yVIYjDvNkS1yB4imeqjFk0owFi0aBG+9rWvYceOHXjhhRdw3nnn4ZJLLsHu3bsBADfddBMeeeQRPPTQQ3jqqadw6NAhXH755UX3+cYbb+Ccc87BypUr8eSTT+L3v/89br31VgSDLAtMs5vy+KDqFwLpOBDr170WIvm7Nj1+vW5J11a9Lgf0qqIS3Qc5+Axk/y8hB5+GRN/Q02BrSXKk5CbBxnqULLYlAiQGgKO7INE32ZtBxwSlDCfRc9IPVZuDDUqm+Fvc3NyMf/qnf8IVV1yBBQsW4MEHH8QVV1wBAHj11VexatUqbN26FWeffXbe91999dXw+Xz493//90m3YXBwEJFIBNFoFOFweNL7IZoM6d2tL4wwio+VpuJ6SqtSuvejb7fOU8jlCerCUjWy9oaMHNa5F6WkxlCy4JaZzmzTdDJUXftUm0c0znRcM+zPePPK96PRP7X5FEOJFE78z2dq7ho36bAonU7jRz/6EUZGRtDZ2YkdO3YgmUxi3bp1zjYrV67EkiVLsHXr1rz7ME0TP//5z3HyySdj/fr1aG1txVlnnYWf/vSnRT87Ho9jcHAw60E0Y8JLUTK4ENFJjMkRve3gW9YFN490HOh9sQoNrRJ/Y8lNho/0of/tgxCzSB5K7r3O8AH2YlDNswttTfVRiyYcYLz44otoaGhAIBDAX/3VX+Hhhx/G6tWr0dXVBb/fj6ampqzt29ra0NXVlXdfPT09GB4exte+9jVceOGF+H//7//hsssuw+WXX46nnnqqYBs2b96MSCTiPBYvXjzRwyCqHG9oAlneVq4GrGmchbaJ90NyC3rNVt764rNqAIyOGHj8K3dCGUb+IMMT1NNZ61p15dNAkz5P5az1QjSbGaoyjxo04QBjxYoV2LVrF7Zt24ZPfepTuPbaa/Hyyy9P6sNN64vmkksuwU033YTTTjsNt9xyCy6++GLcc889Bd+3adMmRKNR57F///5JfT5RJSilAG+xYlrW68H5QMNiffE0/Hodk2LitdEzp5QCwifqY8on0ILWtX+IjnPW479u+HvEBnXOhtM74WvU58ceZ1ZK7yswD0iUWOeFiGatCQ8M+f1+LFu2DACwdu1abN++Hd/61rdw1VVXIZFIYGBgIKsXo7u7G+3t+cdR58+fD6/Xi9WrV2c9v2rVKjz77LMF2xAIBBAIFLr7I5oB9QuB6Bvjn1cewB8G4J7L7gE8HuuC3I+CeQk5vSKSiutCVmZC788fhgpEICKQ0R7AjAPeBqhQy7QnhSmPHzJvpS6yFe/XuRSeIBBqAbz1UErh/bfcgsO7LsQT37oHS9Yswrsv+UNdtMzwje8BssuHx49C/GEoj29aj4eoYipQyXPKy73PkClX8jRNE/F4HGvXroXP58OWLVuwYcMGAMCePXvwzjvvoLOzM+97/X4/zjzzTOzZsyfr+ddeew3HHz/HV6Ck2hKcD8QHgFhvZiYJoFcCzQou4PqzAQSb9XvGUfo1i4wchkrrOhFKKV1TI94Pc/ggMHLYCjqsbT1BSPNqGA0dlT7KopQygGCLfhSw8LTTcPHd9+j2d28r3vNjBxlj3QDXdKEaxcXOyrRp0yZcdNFFWLJkCYaGhvDggw/iySefxGOPPYZIJIKNGzfi5ptvRnNzM8LhMD796U+js7MzawbJypUrsXnzZlx22WUAgM997nO46qqr8IEPfADnnnsuHn30UTzyyCN48sknK3qgRNWklIJElgGmqXsZYOhCW0aRXzGl9PBArB9ATl5C/UIoK0dDxo5Cpccyn2OmgdSYrp45dmT8ftMx4MhvYSoFo35hZQ6wwpQyIPNWA2P587OypEadwIqIaseEAoyenh58/OMfx+HDhxGJRLBmzRo89thj+NCHPgQAuP3222EYBjZs2IB4PI7169fjrrvuytrHnj17EI1Gnb9fdtlluOeee7B582Z85jOfwYoVK/CTn/wE55xzTgUOj2j6KKWA5hWQqB8YegtQ9dm9GfnfpKeuuqerBpqBeasyf4/3QZQHgACjPUA8alUFLTbDQoDe3ZC69tl7YfaHywswxIQOwFhKnGrPXF6LZMp1MGYD1sGg2UbSKaDvJSt5scSXQzyqy2x7g0D9cUCwxQkKJJUARqwk5qH9TiCif23z/eran2W91nwKjMjSKR9PtUj0db3IWakpvnXHQQVKT4clKsd01sF4+9p1CE+xDsZgIoXj7/9lzV3juJoqURUojxdSdxyQHCi+oZh6KqbyAC3vHp+caSb1sEhiKH9RLucDDQCZsV4nAOl/RV/E558GVbdgKodUHf4mPaSUr6fHvvcxU0D0NT2IZAJG+9ppbiTR5Clj6j0QNVrIk4udEVWLql+gi2kV6iQUAVIx68Jq6uXdc3n9unT4WD9074SyvrHcSaMeuIMLwE4Ksx5mCjiyAzKWL5l0hgVb9HotQGZNl9zzlY4DkoKSFJShYB7eNv3tJKIJY4BBVE1NyzMzPOwLp/3/dBywkjchAgwfGvd2Zfh04qgZs56wg4js/+fLs3Cy1+3ZGL0vVeCAKkuvTHt8JsiwmaYVgI0B4logTpJQ3gArfFLtUBV6lCmdTuPWW2/F0qVLEQqFcNJJJ+ErX/lK1u+MiOBLX/oSFi5ciFAohHXr1mHv3r1TP9YcDDCIqkh5Q4C3AUgM6kAjndSBRTwKpFyLhCkFJKOQnt+Or3RpF7DK10NRbt+pUkB6DDJcxpoh00x5fEDkJKCuQ+ecmEld0yM5lDX91mHGIV3PT39DiSYjd/HDyT7K9PWvfx133303/vVf/xWvvPIKvv71r+Mb3/gG/uVf/sXZ5hvf+AbuuOMO3HPPPdi2bRvq6+uxfv16xGKxih46czCIqi0QBkYO6tVWC3xRiIiuWikCNfAa0Lwy82KsJ/9+reBiQrNEonsgg68DLWtmV9JkYgg48lsoXwgwy+idYOEtorx+85vf4JJLLsEf//EfAwBOOOEE/PCHP8Tzz+ugXETwzW9+E1/84hdxySWXAAAeeOABtLW14ac//SmuvvrqirWFPRhE1RaYp2eJAHm69nUvhPJ4gdB8HTTEeyHpdGaTdDzvbu0hEL3L/EMned6lE0t7fweJz44y3JIcBbqey+7RITpGVLIDI3eRz3h8/HfDe9/7XmzZsgWvvfYaAOB3v/sdnn32WVx00UUAgH379qGrqytrYdJIJIKzzjqr4MKkk8UeDKIqU0pB5q2E9L0C5XWt15EzvKGUgnj8eoJp17MQXxhIJHXBrQJBhn6f86ec/+du6MlsLAL0vwq0nzmJI6qw6BuZACwZg/KVsQxAOb0cRLNBJRYrs96fu7Dn3/3d3+HLX/5y1nO33HILBgcHsXLlSng8HqTTadx222245pprAMBZfLStrS3rfcUWJp0sBhhE08HfoDsPxLSGNFwLe7noHgnR63iM9UEFm/RFt+jOi/RWuGtleNzBjdK5DOkElOt5ScWsoZq0XobdW1fVQl0iAowcctqpUsOAL4RxlU3dDD/U/DVVaxPRbLV///6sOhj51uT6z//8T/zgBz/Agw8+iFNOOQW7du3CjTfeiI6ODlx77bXT2VwGGETTItYHuNckKJScKQIlKT211OcD0iNQBiDih8qX8Fgyvdx63RO0prPmGHwL4qsDjDpg4BVdZtzVFkBBmk4CGo+vUqAhTu+F88zYIFQojLxBhvJCTB+MfMdCNAtNMEez4D4AIBwOlyy09bnPfQ633HKLk0vx7ne/G2+//TY2b96Ma6+91ll8tLu7GwsXZpYS6O7uxmmnnTa1huZgDgbRdBDR11I7ByPft46InjVhpsa9XXm8EG9wcp+tPPoibqbG15gYfkcPlfTu1FNCx1UHFaD/NaD3papMDVXK0Kupup9DHDJ6BAKPFRQZOrBQXoi3DUbbuyreDqLqqUQCRvkRyujoKIyc1Vc9Hg9Ma3ba0qVL0d7eji1btjivDw4OYtu2bQUXJp0s9mAQTQdfA4ASMz7EtNbdyE8pA/DVu4IElbe6pzj7sbdLA4Yn89meoH5vbg9BbtPs+hnK0MMY9R16+fVKa1wybql7pQCMWbNnlAG0d8IIRCr/2UTHmA9/+MO47bbbsGTJEpxyyin47W9/i3/+53/GX/zFXwDQ30E33ngjvvrVr2L58uVYunQpbr31VnR0dODSSy+taFsYYBBNh0ATlCcAMRN61oiYcO5sbDK+5yIvdy5F2sgKSkTSeYIUEzBNiOHVQUo6BhjBIp+nh0YAuJJCFTC8vzoBRnipXnI+bw8KgMYlUAwuqFYZmPpYwQTe/y//8i+49dZb8b/+1/9CT08POjo68Jd/+Zf40pe+5Gzz+c9/HiMjI7juuuswMDCAc845B48++iiCwUn2khbAxc6IpokkhoDe3+sgQHl1gSm3VAzFV0i1eBusNUwSQGIEdk+E7rlIF3+v4bOqe3pRNJHS3Z0hoj/PVw/V8b7S7ZsESceB3peB0S4458CwCnCFl87eFWGpJk3nYmcH/9eFCAemVrdlMJ7EcXc9WnPXOPZgEE0T5W+ELPgDqOEDwFi3nsGRlX+QM+sj/16sXgVDV/hUI5m3FBlecYhp5WSkyq8CajOq93WhPAGg9XQdaCSGddsCkfGLvxHVmkpmedYYBhhE00h5Q3p9kqblQDoNObrTWk1VuYZOirADEjvI8IZceRhl9H6ICWAyMzAEqF9YerOydmVmhkMMf9aQj/IEgFAZdTCIaNZjgEE0Q5THA9V2JiQxCDn6CmCOQQwPACmQM67GzbiAJ1h8Gfepspd99wR1kudU9xXv1+uyZNXnCADBBSz/TcekOdyBwQCDaKYpfxiq4ywAgHngBcDQd/euVEs4vRXuIQN3wS79BEr2Yjjvz+xZ7BwLCADDGpZwxl30kErrHwDKgKSTul3JIf2aPwJVxtCJpMaA3t2QeFTXA/GHIYEmKDMJJEeA+ICuteGrL7kvoppSwUqetYYBBtEsYiw6A5JOAr0vQaXHdECgPNllvrO4AgrDk7eGRhZXgCECa+XSZM4erZ4Sww/lb4AYIeDw1qwiXOLanzQeD9W8qmCgIYNvQ3p2ZrVVzAQAE+Kr04dlJoC+3ZDAPCByEnMviI4B/C0mmmWUxwfVejoApYcPDG/+4ELEmnlivc8ORgqxp6nC0PtLJ8YFF9aO9fOShowdBYbfBNJj+fcpJjC4D3L4OT2LJfflsaOQnh3ICoRC86HCS/SsFGXooMfw6RofiUFgYG/hYyCqNapCjxrEHgyi2UopKwE0T4Bh50aksi/8yvBA4LV6PKztzDQAq0y5tR89pbVYb4fo9webgFh/6emv8T5g+IAumuXeS/9ryBq68dVB1c23Ds91THZRL28QiA9AYn1Qwebin0lUA+xVj6e6j1rEHgyi2SrUCiSH9fCBXa7G+X/aSpYEsn6NDR+U4YUyrFwKwwPl9evl4N1fUqWGUoBM8BKch3JuoWTw7ey/iwCj3cjqvQjOK1xy3Kk06gf6X9FTVomoZjHAIJqtGpfonojUKJCI6mTI1CgQj+rgQkzXegWenCms1h+dPyhXHYsSQylZrM/whkpvmhzJ82ROMFFqdValdC6JmMDQO2W2kWgWm8NDJAwwiGYpZXiBBWutqpvWQmjpROHhipLz4QSAB/DXT6DIljW84Q0Bvjor0CjwGe4S5rC6df25VQdLzHKxFoWDCDB8sCoLrBFNJ2WoijxqEXMwaMrETANj3cDYEavr3QACYaBuIZSvbqabV9OUvwGy8BxdQnu0W/dkZC1k5mxpLUxW4ovI69fb+OpK18/wBJzeBjEMKIT05/rqIKnYuB4L1bh4fPubllkzSCyJEUggXLwXw7SWq4dkKo8SUc1hgEFTIqkxoO/lnLvqNBDr1cl6DYug6tpmrH3HAmUYQEOHfgCQrm06N2NyewNEoDw+vfy7axbKuO1cwaECrKELAWBC+UI6xEmO6Fc9QaDx+PG7aTxeB0bDB/XfY31AIAwRGR9k2L0VyRHoJFNj4uXMiWabSgxx1GYHBodIaPJETKD/1cJd9pIGRg5CRnqmt2HHugVn6BLbWcrovQCsi7a1XaAJ8ObpYTK8QDACZbh7DqxZK3qDzIwP5dFrhnS8D8qT2yYrg77tPUBdu95vOg4MH9Z7dCeu2n+OR/VQEJTuAavR7Hkih5MnNcVHDWIPBk1efKBAHQUXMw2MHoSMdQHzVua9CNHEKI8HOO79kL5XgNEeaxihnDd6M9NB7alzwQhEGoFUHDpI8eoZJ3mDRiuIEUBPe4XOu2g9o+hQmFJKBzOGoYMKZUClYlZ9D+sex0wDydFMvQ3lAcJ5ekSIagxLhRNNRiJaxkauaZV9L0Na1uguf5q68FIgOZT5u4hVbTNPYqQyMkmYOd9WShmAL5TZR6maF/pdcAKOdCxrOCWXJIeB5KDVDHu6rIwPTj0+ncTqqwNaVuuF4YioZk3om/7uu+/GmjVrEA6HEQ6H0dnZiV/84hfO67FYDNdffz1aWlrQ0NCADRs2oLu7u+g+//zP/9wpRGI/LrzwwskdDU2viWT42xeVkQNVa86ck1vLQlm5EIYf+ldbwVnW3RPMbJdbU8P+s128q+R6Jq4ARczsfecT68v/3nz7DTRCtb8HytdQfJ9EtcJei2Sqjxo0oQBj0aJF+NrXvoYdO3bghRdewHnnnYdLLrkEu3fvBgDcdNNNeOSRR/DQQw/hqaeewqFDh3D55ZeX3O+FF16Iw4cPO48f/vCHkzsaml7+xom/J95f+XbMVfnyJ+x6F96gnlLqDbrqX7jkCw7FLKP3whWImGnA11B6ppDoSqLlzQYRSHyyCaxEs49CBVIwZvogJmlCQyQf/vCHs/5+22234e6778Zzzz2HRYsW4d5778WDDz6I8847DwBw3333YdWqVXjuuedw9tlnF9xvIBBAe3v7JJpPMyrYrIshFbsouRfpsnox8s4goAlThgHxhZ3hhwkTKVEuPO+n6n9H09SVPlvPKP0WjzW9tVyxHiDAHgyiWjfpwfB0Oo0f/ehHGBkZQWdnJ3bs2IFkMol169Y526xcuRJLlizB1q1bi+7rySefRGtrK1asWIFPfepT6O3tLbp9PB7H4OBg1oOmn1IeoGk5CsfXavw0QxEguhdS1jg/ldS0zCrEVRklwwB7aXczBSxYW956IaH5mNA9WJo/G3QMmcOzSCYcYLz44otoaGhAIBDAX/3VX+Hhhx/G6tWr0dXVBb/fj6ampqzt29ra0NXVVXB/F154IR544AFs2bIFX//61/HUU0/hoosuQrrIl8zmzZsRiUScx+LF4wv80PRQ/jDQ8m4g6L6IWN30uauAuuscDDEXoxKU4QXmrwEC8zChi3iB/JnSezCAyMnAcR+ACrWU38bIiVaBsDL4AuVtR1QD5nB8MfFZJCtWrMCuXbsQjUbx4x//GNdeey2eeuqpSTfg6quvdv787ne/G2vWrMFJJ52EJ598Eueff37e92zatAk333yz8/fBwUEGGTNIeYNA5ERIwyKgb7f1ZM5vRO4FLd4HMTug7PUzaNKU4QWalkOGD+iKn+VcyO3pqjAAlHnhB4D6Nmc11Am1MbQAYviA6OulN+YqqkTHhAkHGH6/H8uWLQMArF27Ftu3b8e3vvUtXHXVVUgkEhgYGMjqxeju7p5QfsWJJ56I+fPn4/XXXy8YYAQCAQQCvMuZbZTHD2laAURf00/YQUWh8Ds5ousj0JSIaeoy7XZNjHI5NS0mYBIVREXSwEgXJHoA8IgOiJD56KyfDn8T4K0fv4/EMDByEDDj0KXo5+lCXJzyTLNdJWaBzIVZJPmYpol4PI61a9fC5/Nhy5Ytzmt79uzBO++8g87OzrL3d+DAAfT29mLhwoVTbRrNBGs26rgpkFQVEusFjuwAht+eRMImJt73OsF1QWTsKLB/C2TgTSi/z6oOqmehKIj+cUmn9FPBBUDkxHEJwBJ9E4juAVLDunaGGQfGuoDeXZBkifVUiGbaHB4jmVCAsWnTJjz99NN466238OKLL2LTpk148skncc011yASiWDjxo24+eab8atf/Qo7duzAJz7xCXR2dmbNIFm5ciUefvhhAMDw8DA+97nP4bnnnsNbb72FLVu24JJLLsGyZcuwfv36yh4pVZ2IAEP7y39DvmmWVDZJDALRNzDxbogpCJaXdwEAkhgCurdDTAXlrytYHVR5vJDUKFT4eF30y/3qyCEgUWhqswADr0KYFEo0K01oiKSnpwcf//jHcfjwYUQiEaxZswaPPfYYPvShDwEAbr/9dhiGgQ0bNiAej2P9+vW46667svaxZ88eRKNRAIDH48Hvf/973H///RgYGEBHRwcuuOACfOUrX+EQSC1Kjeqqjs74fhH+JpYNn6rBt6b2/sn0LIUWlL+tHfyEmlA8z0P04mlmyhk+cYwWL9QHCHB0J2TBacznoVmJpcLLdO+99xZ9PRgM4s4778Sdd95ZcBtxfamFQiE89thjE2kCzWZp98qc9lhJHsoAGhZNR4uOWWKaOed7EpTKytkQlJpFYozrYShERIDRwwDsmielghkFDHcB4czPhaQSKC8B1QSO/A5oK6MmB9F0m8MRBjOkqHLcFx+lgLzrFFsXtTGusDoluWXCy5D3Eq8MQHkhyM2tyP73E2DiCblO8KKgv2rcjzytS+cunFduwqoCYkf1kBHRLKOMyjxqERc7o8rxhZHVc+FE3db/RYBUTC/HnRiCmEmgYdH4bnEqbRLnbNw9kGsoSykFEQ8EJlTulspanj1YenhEEkO6wqcnoCt4BsLjGyBA3umxda3Zfx+3JH0BZlLvfLQb8IdLbk5E04Pf7FQxyvBAQvP1lMlcZhKIR5F1Hx19HRjcB5l/GlRw3rS181igDAPiCQDp+CTe7MqRcXW9KqWsTgcZ3yWrFDD4BiQwL+/UUBnrBUb2ZydyBiP5x12cGDQTZEg6BSOQPT217FLoiRGrEROYoks0XebwEAkDDKqsuoV6ye1E1LVqpzk+uFAevXy4MvRMgOACoHEplKf4NEgRU9fPgOiFtmq179BFzBQwdtSqMSGAPwKE5pc+troOYGjfJD4wTwBhK/C8M1AychBozC5qJ2O9wPBbBfZXoA1Ob4YVbXgLzE4JLwX6Xiq83k1yFE5PSIEVWCXWqyvHpsf0E4YfqD8Oqr6tQOOIKijfSPFk9lGDGGBQRSmldEXP3n44vxXpMWQFF/Yqn/aFTgRIRoHenZDIcqg8Y/1mchTof1VXqrTzDww/EFkKNC2v2UBD4gPAwOtwLpIiesXZobcg9YugGjoKvzk0X29n1ZMoS4k7IVVqBlC8f1yAgeF3yv30bGL/VNTDWHBy4Y3sWhcef6b9ZloHmnYPjvICdZmCfpKK6YX4koOu49HBjJgJqKF9MKNvAL56oHk1DA9noBBVGgMMqjhleCH+iO7FAHSPhs0T0MEFkLlYuHM1onshzadCefX4u5hJyMBefbFIJwDDpy80Zhowk5Cht4H4gL7oBVugPLUzvVlSo8DAXmT37LjyVYb3Q8wkVPj4/DuI6/oQpYMLd8Aw1Vuh7GEIiUfHPVcuUYDyhaGaCgUXAHp3AyWTNxUwf41VxMuq+jnwqvUhriDWCkKV1RuiDAMy2gVE98FsWQVj3opJHQdRMUqpKa8eXaurTzPAoOqo7wCSQ+PHxe3gIh975snAHoivXg8ZJAb07ALDC/gbs37RrPRE/afh/fqCHFwAhE+ojR6NkS4UnsprXRRHDkKCLVD+7O5/ifVawQmKpJhXoQCXJ5T999TkK2kqAAgULtwlqTHdY1XKgj+AqnMloEb3uj4kJ4i1Aw0x9dnxN+qekN7dMD31MMKcPk0VxlLhRJWlvEGg6WRdrdMuL608pedbiQDxXmDgDX2Hbl8QvKG8UbzKHR6IHQGG3q7YcVRVvFCFShdlAH0v6outRcQEBkvnXuQNL0QKD4GIZNWpySt3eKTcmR7jPstqy8BeyMih/J+b7/xY7RcVAEJtQP1CYPQQzJ6dMI/u1UNOhfI1ANf0aeu/7p/HvpcmdyxElBcDDKoa5Q1BzVsBzFs5sTeKAmDq8XWloLyBAsGF84bsF8Z6IJOZXTHdSl3MnWMW4OhvISMHdXCRiGbXwcg7e6LQvu3E25zXRawJH2KtFJJHqA0qt7z7hJeJd/1hrF8fy9EXgd6XSgc3IhAxIXULoIJhAGlrbZIkFEwoGdLDaaW4ggwAmZL1qVGYLDtOlca1SIiqR9W1AuET9YWwnIuqfQcqApip0hceZN+V6yqSNVDIy1tX/HyIKxgQ0aXB+18BUnmCJzGtQCOzv8JfScWDj7xJ740nQIVPGPcOZRily4d7QoAnaLUxrZM2x3qRlbsxckg/3PIV9go2u0t/5TTfnPhYtYhO9HQwwKAKM5AZJpn0Y6YPYnKYg0HTQkVOhPgarGmVnvwRuYi+CJnJzN/TSZ0YWko6AVhJfhABYr3ju/Nnm7o2YLDE8udmClkX4lhv8dQKsfofSl5oraDFVaei6DuKrPOhGhbrnpXY0fEv+sJA+CRg6C09VbSYwbeBhuMy+/XWQUKtVl0V3XuhfHX650NEF2xLxXTQojx6dpLhg6hxpcKySaaPRikFcYqWKRgeP2T4MDByQP9MKUPP1gkvZUE4ognibwxNG1XXCvE3AX2/H1/oyf7Sj7tmDJSzaJr9XjOlLzZ2TkZyBNK1HWheATVbqzsGm/VFOT6g/56ViKigl1/PM/wR77XyWQrUDBEraijrZr70CiQAdLJlsLngy6rxeEj9ccDIYb2cuuEDQgszs4HKKeOdHIKIZPdCtLwL6H4eSAzpv5spK09nIBOI6hd0HYwJBBeuJ/X/Ak36Z8aMZ/4NzJSuEDrarQvC+fPX2iAqrBK1vmuzC6M2W001S3n9QMu79cXRHjIRUwcHsYG8CXpFu73tXg4ziXEXjngf0LUNEi/j4jYDlFI6EdZVv8G5AKYTxZMVJV08+JrC7I78+4uVzGtRhheqcTFUZBlU4/FOcGG9OqmPVR4/0N4JNK+2nhE9bdXMWbck1JLpwXJzDzPZ73cv8CaiS5srjw6gTLuuRp7ZJ0d/N6ljoDmOORhE00d5AsD8U3VvxehRYKxPTxXMTVZ07uQL5G7YuQnFLnxiAn0vV/YAKkgppetchJdYPRZpK7BwnQvl0bM1PAH9f8MLZ3oulHV3pNw71cMHZZTOllS8vMmskgJ6fw/peQEy8IauPjoRofklNlBAcH7+ZF7Do8+Rr0kfcu6/dyBS/AvYDtrM9Pjgwh4qOu6DUFlFuXIboc+3jJQxbZbIbcr5FxWY5jpDGGDQjFDKyNyVFgoeAF1Uy05eHLedZBfxKiQRhSRHptLc6gu1568JYfis4RD3HbWRyYnIurC60jMNPxDr0xdVi+seHhIbhoz1OZsXDjJyUz4FSPQBR39nLademCRHILFeSHJY99J4Ajn7ytoaiJxQdH+q5WRIvn/vYlNlnR6ITAKsc6zKAMLLYCxZByUp3bZSgQpXASYqG3MwaMaohg598Ym+mT/IcNfNEBPOWKad5Fd4QuV4qdGc2QKzi1IK0nSyHu8ffNN60uqpcKZVuvJWnMqUguwLo2Sfkni/3o9dRySdhErHgOA8iGooMXCRM0yQxdTVMuevGfeKjHTpWiRmHEiMAUjp9VUiy3RxMDMTJIiI7pnw+6GG3oY5+BZgClTr6U5lTqc1oQWQ3jfynbyiR6Ff98AOUpXhBRoWQ7nXeyl3obRycoKI3Cqx3notFA7MgwEGzSg172SdHNj/irUgGgBfHeBvApAG0indPS9p191onnyLUorMgpgtlFJAfTtEeYGBl/VQyLgeCmSGjgrvSCcn2kmgkrIWUgMAAYItpZMh3fsqxIxDUqNObQxJJ4C+3frzDAMwQnpmh4geBuv9PdC6Vvc6jR2BxAah6iKZf1/7CA0AR38Ls+FkGHXZCbqq9V3AoafLaXme4zCAULMOLnJnhAQi5Z3XfFNniYqZw5U8GWDQjFP+eqDtjKznxJ6GCAGUHxg9pKc5ipXcZ0f0CgBK5AN4gvoOulbE+3WbC03lLcp6T91CKJ8uyy7phN5nfMCqrFrml1U528X6gYY6SDqtA4h8gZ9SQF0LMHpE58Mc90Ggrh2qf/f4ZE2HQA3vAerOzH46EQXqWl2bmXoYKF+Cp1ugGWhcUnCqqfL4rfL0I4XPu1JAwyyf+kw0izDAoFlBxvr0uhsigLcOKj3sWinTAygfdBEkyR7GNwxAvNmVLXPNO7m2FgtKDEwyuHDx+LP/HGoF/GFrKu/kFicravgdlOxVCszTM3vi/ZC+16C8JYICAGb376HqmoFAWE+BTQ5lb6CMMiaoGLpQmFGim7nlXUD39sxwSdYUagBNJ5feB1GuSswCqaXvLxcGGDSjJDkCObwNMBN6RoX9PEQvbuYJWL9cqcwS72Yy+87XvivNF2TUtWVPA60isXNDDN/UAhrlyreYDMPnXAhFBEi7ilFNJLgoNWQAAMF5+v/xvtL781j/TqlRwBewZs2UYI4CvQd0NdBAY+ntcykvMG9lWYGB8vgh7WcBA6/pBFk7sPDVA5FlUIFZWk+FZjfD0I+p7qMGMcCgGSNmEnLo18hb4lkAxIcgQS+Ux/VjqlTm7twOMpQCPD4rZ8Gqr6EMawZKUtdNCFRniEQkDRnaDwwfAlIj+jg8AUjDEqBx8YRXdZXRo66Ew8kFGhKLWTmg1vLl8UEgNQbl8ZRMdHXKbiXHdC5Mse2MgGttkgkELoYfZWaAZAKcchJ0lR9oaNfTn5UCgi1QE8yZUIbXVXODiKaCAQbNnL5XoQqUtVZK6bvv5DDgaRr/XsM3fvxeKcCbp6z4WE/FAwwxU5D+PXoGDDIBgXj8+tIZ3QvEByDz15TdmyEjXdZQg/PMxNsFQIXq4Z5howKNQCACGe6BMhLZwyf59pFO6Zkm6YTuocjTfCUCGevVszJyZ7kUY/iA0HzI8P7yQgx7Kmw5d3CShAq16uEgotliDg+R1Ga/Cx0TZLSr9EJm6UJJgMgMjZRS4aqWYqZ0z0v0dQCuaqRmCkiNZWo1xI4Ao4fL22d80BVcTO7LJFP0O985NaEaWiGJMuqB2GW5Yeq1T1LxzHCBiFV1tQ/KjOuhBKC8JFozDcxbYfXqBFCw1LnDA5UaKrGNW21+CdMxzh4imeqjBtVmq+nYUGL1y9J3/jmvqwIBR6XnkEff1ImYYleHtCtE2mXPXUHGcIkFvgCImdY1JTLPTKpZCihx0TZ1IJAcyZ8wavihGk8c38ORHNaBxFiv/r+7aNngPv3/xhNLNzDQDNV4vP6o1nfp4y4YFChIYszV9DLyNbhOCNGswiESqhqJR4Ghd3SSIaBrCDQsgbKHMZQHYqYKBhJlLdPuVqhHI5inQuYUiH1RzVoeXbkCGb2+hUBBlaggKqkY0PdSpnjWZNsE+1JdPJhS/nogNqZ7ddIpHUzULwTqj9M1K4b3QykvgDIqpAKQ2FEgFYPyBiFNq4GBV5A3QGpcCpVTLlwt+ANIzwtQ3mBW8S0YPkhsKLv3IjGUSSgtpH5RWW2m2UGseihIjQCmlTflCwOhBTpf6FjBIRKiypLeV3XRpeSgvniYSf1lcmQHpGsrZGCv/iIp9YtTLF/AuavViZV5fwmVBwgtmPRx5BIxrVkZriqihle3017hVHl1+ep0wl7btcC+0rrAWO60yIm3yvqC9k2sK1XS+ss9+obOjeh+HujfA6THUO5wgwKcyqPKXw/VegbQuNSqt+GBE3gNvwMZeD2r1LcyPDDaz4Ik45D4kP7/WD8wfGj80IiZBIoN7zQu0Uu5UzYxgeSo7nWa6PoxVSSxXuDoLmDkgO4VSwzomUjDbwE9z0G6tkO6noMc3go5/Bv9567nIT27IPEBiFmFqdbVMgOLnR08eBB/9md/hpaWFoRCIbz73e/GCy+84LwuIvjSl76EhQsXIhQKYd26ddi7d2+lj5w9GFR5En0TSPRafzOy787tP4/1AKboS3TuEt1w9V74CnR7pxPQgUUd0LwKiL5mJX26kg0NHxBZDlXRKp5WQqPhBdJpq9fELvql9EXVG9TPW8umy+HnrFktAaBxkR4qUMqaCpnK/vIosyfDCVziUShJ694hSepSIe4F0NwFqESfb+UER6azN+nZAZVbYwLQ59BXp/dn51/YPVK24YOQeasy/4aeYGYbdwnzZBToewkSXGDlbpj6jnWsB+5ZKGK1fVzwmRrVbWjs0LNcFPTPR/3inJVbCSKQse7MdFuldODra4SqW1B+/lI1mpYctvKXLO5/ZxErME1n2u38OpiAGQP6dC+ZeBqA+asLFk+bNaZ5mmp/fz/e97734dxzz8UvfvELLFiwAHv37sW8eZkewG984xu44447cP/992Pp0qW49dZbsX79erz88ssIBoNTa6u72RPZ+O6778aaNWsQDocRDofR2dmJX/ziF87rsVgM119/PVpaWtDQ0IANGzagu7u77P3/1V/9FZRS+OY3vzmRZtEsImK6EhtdP17jonADyrACBGQPhzh/9taND9ztpd0h+uIZjOg715Y1QPhEvWpnaIH+c8saqAqvP6KU0st62zMn3AuReUO6G98b0suMe/x6+qyC7sVJDukvx54XIOmUrq6ZN5Yofbei0nGo+ABUXQcQnKfb5ZxjK3iQ9PjFzkaP6r+YSYiI80Aiz5L2gSZd4Mrw6gDD8AD+en38bpLOrmkx+DoKE/3zMXJIF84a2JM5l84meugp62cC0P+uC8+GajoZasGpUPNPhYqcNKuCC0nHISOHIcMHIGNH9e/DdLfBNCHR1/W6NmZS/9uYSd0zFe+FDB2AXZp9RowUSXzODbZzn7P/rgwgPQJ0Pz/xlX2PcV//+texePFi3HfffXjPe96DpUuX4oILLsBJJ50EQH+/fvOb38QXv/hFXHLJJVizZg0eeOABHDp0CD/96U8r2pYJBRiLFi3C1772NezYsQMvvPACzjvvPFxyySXYvXs3AOCmm27CI488goceeghPPfUUDh06hMsvv7ysfT/88MN47rnn0NHRMfGjoNljrDfz50Jde85zCspQOi/AG4AoQ9+9egNQ/jp9E56OWV28Y0BqTPdcuPdr5VcoZUAFW6AaT9CPYMuEa1CUQ9IJq2iVN3NXD+gESX+DLhZmtc3+swDZd4zpOHD0d/pLP18soZz/5JcYtmbGCJC21hjJ+8UMAGbmQh0fACQBmAkrwdL9lpzP8zcWLr+tlK7K6TCc5FKJ95e+eBme7GRU+4LhJjpAElM/0LAYqu0Mna8xC4mYuufuyG/1Qm/DB/Vdes8OiD3TZrqMdhWeOWUPi9nr/syE+EDl9iWmHmaczRQqMESidzU4OJj1iMfj4z7uv//7v3HGGWfgT/7kT9Da2orTTz8d3/3ud53X9+3bh66uLqxbt855LhKJ4KyzzsLWrVsreugT+gb+8Ic/jD/6oz/C8uXLcfLJJ+O2225DQ0MDnnvuOUSjUdx7773453/+Z5x33nlYu3Yt7rvvPvzmN7/Bc889V3S/Bw8exKc//Wn84Ac/gM83+xeloiKcbvYSXf1OD4DSd/yGB8ob0I98FzbDWpHQfSH01luLok2j5JD+Xff4kRUE+OoKJqU6vQvu7dNjevpnIWrcH/Sf0wkddJlpPTxQbHzWmT6bgIwdtRY8E5S1cqinxO+hkQkqUL8wE8wlyrxwueqVZA4139eRHs5RkTJmqcykwbdylnK3p/WmgYHXIEP79dL1qbF8764YEROIHS2xUQpSyYv8hJUYApxIvoHy6HozszgnQynrRmoqD+ucLF68GJFIxHls3rx53Oe9+eabuPvuu7F8+XI89thj+NSnPoXPfOYzuP/++wEAXV1dAIC2tras97W1tTmvVcqkB6/S6TQeeughjIyMoLOzEzt27EAymcyKilauXIklS5Zg69atOPvss/PuxzRNfOxjH8PnPvc5nHLKKWV9djwez4rcBgfzdO/StBExrbvjVJHFq/Kwx1d9jTopMHYUWTkUgL6IpuNwz5MARD/ftHLG1hhRShfVshPnVKkLsr28uvvuXkxXb0WBRcIAQKz/p2O690KPuegv12LlvO3nR47CSs6w8jDGf5YdHNmVSMvirdPJg5GT3B9a3nvHNVUVjEfVvBUVH+pyk3g/MPiODo4Mry4t37C46L+ppGJ6htTYEejhuhJfpaNdengJgHiCQP0iPYxWaakxlDXN2SxvllBVeOt0L0oh5c6mcvKVROdmGMd+ku/+/fsRDmdK1gcC439XTdPEGWecgX/8x38EAJx++ul46aWXcM899+Daa6+dtrYCkwgwXnzxRXR2diIWi6GhoQEPP/wwVq9ejV27dsHv96OpqSlr+1JR0de//nV4vV585jOfKbsNmzdvxt///d9PtOlUYSKivziH35ncmK79RRKcBwQX6DyAsS4dUBgBvWqmv0lfiGNHrS8lQ+cA+BpnJrjwh+EEBN6Q7hWYwrIhMAKAGc+On9zE+k9iKDM85CTCTbDd3mAmlBHRwYHdlS5pV7JcmedVKSByYvbsjeD80nfQgB7yGrc7BYEn87PkrYeadzLQcJweZoj16p8FXz0Qas8uIV+EiKmDBzOlE1B9DZlKsQN79Cwad5AX7weib0Daz4byj1//RMaOAj0vZHqCPMHsXJy8jbBqpShDB4pDb0HCJ1Y+QbHsnI+ZCcwB6ABu8I38r01kqnbWtrM40VMZBXrnJrgPwMl/LGbhwoVYvTq73P2qVavwk5/8BADQ3q7XZuru7sbChQudbbq7u3HaaadNrZ05JvyvsmLFCuzatQvRaBQ//vGPce211+Kpp56a1Ifv2LED3/rWt7Bz584JXSw2bdqEm2++2fn74OAgFi/mMsrTbvQwMPTW+OedO4tiX7jWnYfhB4Lz9b9/IJK/pLfy6EXLZgFl+CB17cDoYasXQ8+YEDMFKE+Jn+Pcuh0+QDy6HkXuhcY+fZK2xstdPRX2/80UUCTB0RmyCc3L+oJTAEQpKH8DxONz9i+ShlIeSDoBhTLuBs0k0HBc1lPKVw8x/MXvkNNJ5F27xNcAtfC9OuhRHutONwYcfdGaOmuJ66msEj4eqsjPRSYA3p+dhOoJQSIn6d6gqH2hy/m3MRM6gXDRuZnhHxFIagTo3Y3Mz3aRIarxDXJ1wllJvhWcQg1Az2AqR57AadoEW3TAFzua3QPnBAwlvjvcJA0o36xK9B3HUPox1X2U6X3vex/27NmT9dxrr72G44/XRe6WLl2K9vZ2bNmyxQkoBgcHsW3bNnzqU5+aWjtzTDjA8Pv9WLZsGQBg7dq12L59O771rW/hqquuQiKRwMDAQFYvRnd3txMx5XrmmWfQ09ODJUuWOM+l02l89rOfxTe/+U289dZbed8XCATydg3R9BEzpbuIxbSqWbpqORheON34YujX7USnrJklHqD5lKokY1aKmCYwas14sJM7648D/KNAIgrl8UGU0hfCQt34TpntnItqMgl401YypVjXOP1FIgAQG4AyU+MvYPZ+ElHAYxWvynORU0pBzHTe8+ts7Qlk1nURU9/tKwNimqVXIPUEobyh8c/PWwH0vZy/V0vMTHnxXN4gcOhZ/T5fvT7Psd7x02IBACYwuA9i+KByZ7XYRg4Bw2+Pfz49pmu05M4+UIaudOprgM53iQEjB3UBr+QwkBiEkjQkfLz+u93NL1LenXfuv0NioOIBhjJ8EH+kRC6MoXsMZ4hSChI+UfeqDb3t+neQTC8PkAk+iq7qawINx09Hs2vGTTfdhPe+9734x3/8R1x55ZV4/vnn8Z3vfAff+c53AOjzf+ONN+KrX/0qli9f7kxT7ejowKWXXlrRtky5X8k0TcTjcaxduxY+nw9btmzBhg0bAAB79uzBO++8g87Ozrzv/djHPpaVswEA69evx8c+9jF84hOfmGrTqJrifeOXTQf0l0E6kbkjT+d2hRv64tGwGKhry5/QOUtIOg707ATsKbFKAUhDht7SX4QNx+sgIx3XF2XY0ytd34f2hSdn1gZ8jRg3vVO/AQCgoCDeRiA54HrJXTnUkhyG+BoAsSpjWF3/dnABvZxc8ftBf2P2RV9MIB6FhOYVfl9iBFhwWv7XRADfPD2N0EzoJhsePRwUfR3jc06UTipNDGWeTw7r4QtvffEegqG3nWmzkk5YMzj2659Bf2OR9+Yku3oCOpCwL252LkoqBhk5DGX9OzlJlLnBU6lejNwEZd3g4u+ZrIbjgIHRAvlQCgifUDpnqMqUUjq4Ci2ApOLAwF79XWEYQLAdSPbrn4dCgZuY+ncn1A7VOMt7rydRKCvvPsp05pln4uGHH8amTZvwD//wD1i6dCm++c1v4pprrnG2+fznP4+RkRFcd911GBgYwDnnnINHH320ojUwgAkGGJs2bcJFF12EJUuWYGhoCA8++CCefPJJPPbYY4hEIti4cSNuvvlmNDc3IxwO49Of/jQ6OzuzEjxXrlyJzZs347LLLkNLSwtaWrLLOPt8PrS3t2PFihWVOUKqjmShLzBLOon8yQmmvnj46md1cAEAOLIra/aHs7prYgSA6AQ/TxBoWgYJnwDVvwcY7bKmUlrHJpJzIVGArwGSipcYlhUorw+ScH+32OfT9WWTikGlUkCgEWJ4nC9kSYzonJb69qLBhR4uyfl3UAbQfjaUmLqAmfvLzTR17kbzKsDjhwwf0H9XADz1+s7ZqYNiBRLKCzSvgqprgwRbdOXPsSN6E08IUJI/eCq0toxbOq4DQTGBw7/J9HaUk0Dp8QFJ69jqjxsfBNh/To1ADC+U8uhZUvmCi1I9GHYvh3v/FS0A52qO4YM0naxntdh5K1C6d6a+HarcJN5porwBYP67cp7NDL1JKqHXvElEM4nR/jDQeAJULaw/M82FtgDg4osvxsUXX1zwdaUU/uEf/gH/8A//MLV2lTChAKOnpwcf//jHcfjwYUQiEaxZswaPPfYYPvShDwEAbr/9dhiGgQ0bNiAej2P9+vW46667svaxZ88eRKNlTmWj2Ss5XPg1dxnt/Bvo5cxbz6h0qypG7FkxVvKeiACxfmtGi0s6Bul9SScFmkl9Z+ZUsbTqPRh+oGGRDkZiXQDSgMebp/citxFpwNuga104d9v5wgW7aJdramS5xwnAnioMZegLbeQkGFbwJ97TgMG3Abt0d6gFWHC6vtDaa7LYOxp7J6f+gt2eFND7or5Ih1qAUIuVH2ICoz16uCKfcu/azKSVp+H+tynzC1lZPWqlkjTNNMRQhetLFA0yrDtYe4jNllVLpLKU4QXqOyB1C2HnNMzUjKupUl4/0Mwbzlo0oQDj3nvvLfp6MBjEnXfeiTvvvLPgNqUWsCqUd0GzTCpnXNw9D72cL7L4ACQ1ln8MfzYYOph90UnFxgcXbqkxK5fCdexirbRqJvTdcsNCXS47NQo1kQuguHoulJEZfjJTWd38emZETp6HmYYYniJrlkKvCdP2nqznJR0H+vdaY/mu39l0TJ+T3AutmS588bVF33AVRlMAPJDEIMYPmdiNKHNGQTqhh+yyG1Tee8XUyaSlNyy9lkdWkJGTkAtkH48nOC01XFRu/RWaftM8RDKbzOK5PccOSY3puyzDP2srEU6YM5PBHH8nLnZRrBL7SMf1nfMsIyNdOhBwD+GUWBUVgD4XngKBQ/9r+gJr9S6Iv0h+g1vKWu/ETOk1QZw1TgB4lX4+aVX1zCcxBASbiudh1GfPBJFUTC9Ele+CKqauUukNZv/b5U3EzG3L4PigsujUzhSAEt353rr8gU06WfrbzRfWwzqlepIcZfyLuarU5n9N6cCirnVWJzdTBTHAoGqQWB8w8Jp1cRIABsRXDzStgAo2zXDrMsRMZ1bQ9NaV15UaaLIWUsrXHW8PkZTYzzSOBUs6rrvj7TU3/GH9JZ/TBkkMAkNvWjfVrjHz3CTN/J9S+CUzDijXZyVHAV+p4zeAdD9EGVCBpszTWXkCHt3FnzVk5eoRSMf0z5+vPjetUv83snx8wae+l0rfradievjGKeBVZo+BmQTgCjCCLXo2UsHtE8V/TsInZg/VOET3KhVcYVUnO8Jbr5NCc3vk8m1vePX5nkxypvICjSc6VWtpDpmBHIzZggFGlcjoEaD398i+6Jh67PrITkjDYj1DwEzru/1QK9C4WCeSTVcb7ammdjVCADB8kPrj9AyPYoFGaKHO/M6/59If7o9UbXhEzJS+g/UEoAxDB3rRN7LblRoBRrsgkWVQQddY+OBbOTsDnCm2JQ+rRDqlM51XQSkT4quDQqGLlYLErOEJw6ebUXBdFwNi+KwVZu1GuySGdEATCFuJhUZm6Ca6F+I/3Sn4JPH+Mi62NgF8ESDRj7JzHjw5PXiBZj0t1AnCc5gp6FkmOUGQEdAVRPtfLlxzwx7S8gaRlVHrCQGRk6CslXql/jgrSCnyD2zVOBFfo55eWlSef6fI0tpISCSqIAYYVSAi+ouv4BeWCYwc0F+ayrrwjBwERg9D5p8+LcMoYqZ1rYJxY+lJXTwrHQfCReaXD+W7a8z6ABSuNqmApuUTaW5ZZOyIDiRcFxzx1uuLVN5gSYDo6xDvuzPnPFUgedUXssp0F1GqyJZz56v/rMZ6IKEFUOPyBQxIPJpZyMxbvKdDAP2zlE7oQDWeJxlV0kAsCvgbXEGsobc7/BvIvNVQdfOB4SIrXeaK9VvBhcUb0ue60PTI0PxxvSVKKcj804AjO6wy167tbfZ0aCMARE7Uxdi8dUDfi1YirpGp5ZErHdePhkV6KMgbALwNWcGaMjyQ+g5dNyPf76wvrD8jrYd3RNKuNXfc7Ha4Ah5vCGhYApWvgBzNDRwioYoaO1J6TQ5Jw7k9dirZmbrXIyfhriqKrbgI6GAntCC7DHTW6z35n3eIDpxyu4M9IT1l0d3lXwEyfEBPf8yVGoHu3vYXDjLGeoDGJXlec/HWZaanFjSRLwE9jKHGeiBGUHe/Gx7d22DmJpMaRXuTdHKn0hfe8PFQvUMQTwh65dS008sBw1+geJYC+l6GhN5fOlHTJgIoExDXz69dZM3w5PSCWM8XCCqVNwhp79Q/U/17CudEmAk9DbihQwfIiaHM5/rqdQCY772hVqDlXUV7B5WvDtK4RCe1JqxF4TwBPRRoDxuaKSA1BuVv0jVPxo5YVUetKaChNn0sTs6VF/CEanb2BlXINFfynE0YYFRDvD//8870TSuwSMb1l7HHm5mDLylIPFr9O57R7jztslkXjbEewHfCuLdKyWmozpZAqA2ob9dfuN4Q4G+q+BeumGb+4MLdDjNZuDZCfCATYGSNsZvOtEJleCChFn3XPq4OgvWeoodV6EXrPNo9AYY/s0qqXbRMUhApHGQIoEt0zz8NauSgzi1JxYBEIjvAkwRgevQxuVeztfNN+l4p0uuUezgKee/M7KEkd49CsAWYdzJUkdkaShkQf0OJhEsB4v2Q5Gh2cGH/39+gPzOdgFMR0uMHWs8o62dOefxO8ae8DK9TYlsBOvjItx9vCFl5JkRzFAOMasi3gJGkrURB94U5BcBrXZw8mSWyRw/nX5OjQkTEqrDoDniyttB3pnkWpHJe9wb1BawUXwSq0ust5Bp6u4yNTIwrdJRPqNVVKApOzgSUgvL4IXWtVre7deyegE4clTQAj7442d35yrCGK0rkNNjd/L46vRaIXYkTAuULQcSEKtJ2BQCNx0PFjuiu+3S8cKloScPuzcjeidLvCcwrvtIlUPo82j0Z7hLQwwchpnXhN7y6VHWwJfvCX2oIypYcBiRPD6GycjXsQNK9QizRTKngYme1pjZbPdvVd2T/XdLWl22eC7mZRKZegvWFPJEVBSdBKWXdqRbriZCCyXNK5blA5duD8uiFtqqtWNGvLAWO1e9anbBhSc6xZSpMOkuae4P6TtbfqIMHM62HUELN+v/B+fo1Xz3QuBhoPL7o+VL28vPWr6N9QcxcGJUe93cOQzIPQE979DVaVRslc3df8DRYVVbdvRD2Z8X7UbQrxv2zWSrIsMX6gKH9Vi6MoT97rAsYeCW7bke5gYAyMjUkSv2uTGPSNFFe9hDJVB81iAFGFShrKACA/gIsNeXPTGW2E6lqhT9HsBklhzlSI3pGRj6+en1RK0CUARgByIGnIP17ShZYm5KpRvehVteuPMD80/SYusOq9WEtSibppJ6VMXpE3y03HgdV36oDD0laPRauu3zDBzQuyt+zBTjbFbrTVkrpIMQf0T8jduKivax95KRMj4WkyptGmW9aqR1oBJrGn1M7oDGTVo9LiS+8cf/eVuDjrhMhZvYU1UAzSuaxKAMINOkZGcWqb9qfX18kUZmIqopDJNWy4DSg+/ky765deRli6rUqxMwk3HnrKl+Ux+ta+dMeMnGW0TasVTa9wJEdkJY146eUhpcBqd/r60E6rpccty6qYvj0RXWsH0Aa0vcKYKagWk6p7DHY6juAeG+Jjaycg1yNJ4xLZFWGF2g+BWImM/9+3nqodAyIDeiCUclhPXUR0Nsojz5nHh8AU9cV8YRcuTWGDhztNTgsOvAqnsSpG6WsxNrcKahRoHu7znOJD7vqdSg9Y8IuTW3nJjjvLxLwpUZ0GfexHj2zwk56BPQ+lFF8ZotI/gDGXjPEOSfQORXmYijDo1embTgOGD5QeN8Ni50ptWheDfS+mMlXcZKlrbZ66qAaFxbeF9F04CwSqjRleCHtZ+s1EkaKfGE6XF/8R3dZNROsGhmG9cXbuKQigUbWNDuxFh/LuiCYQCplXZzqgb7dkAV/kPXZyuuDNL9bT8c1fIDHWu5bGQAUMHYUWeWaB/ZCIidWpfaFCs6DGIE8sy9cgs36bj8xqOMMXwSob3NqIeTdr+EDAvN0ka7o6/oCaZqApPVsDK/1XhH9WmoUkKC++NoLo5kpwAgC/jo9FOMKMJxeHUljKr+KYiaghg8BwXl6X4lkZul4++JreHWSrT3TotjPkYjON1Ge8cMtyqPfn7ZmSYxbIdQORArMojLT2dVODY8OaOxhqqblOogZ6wGcgmHW/+va9TRVuyn+MKRljU5ORTK71yTUBtW0rPAxEk0XpaZeKIsBBuVSyoDUt5cZYFjLapspvcx11kseXQAqOQxpPmVKSWtiJvXiUnbvSHI0/90mYF1IrLUnYv16oSt3s7x+SHgpJPo6lMQAKCAVdyWQ5hjaD8w7edJtL2r+6bqWQr7kP/88qObs3hMRAVJjkJGDVs0IQ89C8Ddl7pAB3ZM08HrmmCSlh0VcK5fqlUR9+thTo5mpmrAr+KWAkR7r/NkXTdf5MdNOYmdx+XsdFGDNvrACCXdw4f6/iJ6pEY8WL+jmq9fnZ+D1PB9mWAnAujooPD7XebA+J6unJPf9KvvPkvuyAWl5lw4ERw5nKnnWL4Ry58rY2/sbgfb36GGr9BhgBPTqnEQ04xhgVFtoPnSqS/FSynpCRxoiqfEd+ZLWRYjGjupEvtD8ybcn+mYmuJA864jkSsd19cV437gAQ2J9wNHfWaGRpkcDfIDfa9WNgLMstSSHq7bskvL6dY/RaLfu1pe0vjCFTxh3YRKxal/kVmSMxXWXff3iTOGtWH8m2VVMqziakTlYN29Af246ARgh1wXUBHwByGh3pkQ3DOg6EgLnZ6PQ7Iy8+StGpgfBzt8xrTyRQoGK4de9UvV1Tk2HvIFAXbueupsvyVcp/e8paR1kpKziUs6xFhl6MXzZeSh2XkfO9FWllJ5FNYGZVMrjy8zCIppNOERC1aKUBzJvBdD/SsFtRHkBZfVeFN5Kj6OPHJ50gCHpeHauQqliYJk3IvfCIWLqSqB5Lii68BP0rApPwLkzF0nqpc3nrarKegxKKZ2LUN9efMPkYOFyz6KrrEr4RD0k5K5pImbx2TMiOhiz8zayAgPRd9vuYZy0KxnTTOXvDXCGUVwBqp0fk68HBWamh8WmvPo9SmUCPMOjtzOT2Qu5hVp13YqcXJEsSul9igeoX2jt36d7w8a6C7/Pn5MUrBTga8zqMSI65jDAoGpSkRMhkoIM7M0aVQas4EJMwExCoIp3k5up0jUKiil7OmceubkKsd7Ca0AAuvCTyk5eVMrQvSd9u4H5aybflqmK5SztLaa1XscInDoN6RQk1JY9I8MwCvcyAK4vEpXdM+G8juyhELv3AQDSCUiwGSo1Zs0EsX5KDJ8OWuxZIoY/M/UyX5Er0zoWT0DXKjE8TnCRt72GzxpSUbrnwqpNIeXkyiilhy6Czfo0igkM+K0kTVfuBKweCXvowj6HAr3gGNGxbA7XwWCAMU1U08mQwXcg1vCEOP+1ei2sxZSKc4cmFVDunaPyZU3lBFC8pLShhxEKLs5lxiHxfqjpmI6bQ8TMDozSSWCkKxNIeAOAXadhrEvPBLGHAMo999aQ0Pjclpx/P2W4trFyQvyN2efNLobmCVjTUvMkVjr7U5kKmum43r+vxDm2i1M1Ls1eJ8TXYK3SWiSg9QSzplQrZQDzToaEj7fK5af0NoZX95yJa4aLL6KDkxr94iSi0hhgTCdPsGgPROlEP31HKMnRwmuEFJNbt6Kc5acNPzBvxfhubFXkR6fUWLiIHuqpQIAhdm0Gu3DYaLc1U0Tprv5gS/ZFLGWVmU5ZtSrMVOYiny850Ixnlxgvp/6D4SmQ22IVmYLS7Q216bbavRPxAStJs07/LAC6mieg8xTKqURqF1GTNJBKWJ9VRmCUGMiuB6IUZN5KoGcnCuZVNK/M+/OqPAG9uJhbaL5VVKtELx3RsWYC9yZF91GDGGBMp8hSoCdPvQblQVlfvB7rAhg7CvhKLM6Vh/L4IcEFQMw1vu5vAOJDyJuEqjy6XkYiOi7BE6H5wMCeQp+U3f2fr+el3PyPAsRMAf2v6TF/O0BwF3ECdLKnJwRZcKqu0xF9Q+df2C1SCk5Nh4IzaUw9k8YTtCZ/ZEqHj9/WLqpWeF8q0KSnZHrrYCgFCTRBRrusab0CjB2FJIOAPwwxfJmzZs9eKWsNGNdpKPdinif/RwWaIK1rgYG92aXHfY1A0/LsZe7LaQ57K2guYg4GTQdV3wHxNWYv9WwvplXyB0jpMXWgZGVQMdN67YfkoB56qe/ILJ4WPlFfMO02KAMINOqZD+m4dZdslQI3rKJRI4d0TYTGJZky1p4ApP44vcx8rlQsk8vgTIdMZy7O1kPSSZ39n+8Y0nF90U0MWr0Chq5kGWzR7et6Ls+S5PYdvusinBoFDj6bGQoAspMdnfNuoODFOx236jcEdY6DPUV1XCJmnrwL53O8kLE+qKaTsuuJKAVVvxBS1wpJjFgFz2J6Zo59vkrN9MllB0tS5vorQMGF4FQgArSdoYf2Uro3R9nTYImIimCAMY2UUsBx74cc3qbHpIsEF/alTgH6Iu1ryCT6eArP8zeHDwM9L2QNe0j/HkioFar9TCjDB2k+RSc6jnVnAguvRxdiMjNrb2QZ3q+fdyflNS3XFzH34mB2oz0h+6Cti5zHSWYFrMJUR3dB5p+aNfYv6bhesnusJ3uH3pAOXMaOwClslSurB8MubZ2yck1yakLklROcuIlVortpBRDdq4eB7AAsOQak41aviJGZjmnnbSgvJBaFipxY8C5eKQ9UIGzN9Em6miPujQpMWbXbaAclrp4jsRbUKxVk+Iv3Rihv3bjppERUhjncg8E+y2mmDB+M484BWt+j714LrT9hPcTw6y5197TDAtNUzbFeoHtb/pyKsR7I4eesPA8DKjRfF5+afyqchdZyF2QTM1OhMjUKDO6DuCo7KmVANa8C2s4GAtYQivLoO333L5X7wm+4eizScV1AzPm4pA6OsoIL6DalRnWvi5h6BgsAiEDEhEAgThKmO8hQmUTWUpX0yvkFVoYeKrLPfyqm62RYa4/oXoc0kI5BUjGIKEgqDsADY95JJafmOvkkzhNmnqGbAu20k0HdgZfy6KmjpfgiVZk2TETIfBdO9VGDGGDMEFVut7eZzP7halikk+jyOfr74vuK9UJimRwQifUBh57VF8q0XakyM21SL/0d020wk/oi3/UcJJW9jLvy1WWSVw1f4btsO+fBfTxjRzILqg3tt4o/FeAsky4QM62DCmsKmEK+X8hxZSKLn59S6hbogDBykg6oisykUWYSKt4PlRoBxrp08FROppZ7n4UWJLP34x6aMVOZxFVA947ZM2ISQ1aJ8zz/Lr4IVKm6IUREk8AAY6aUeceoAIi9wFR4KVB/XN7tzHQyOxGvkO7t+uKcGASO7MpJtrQuzGZKl13O+0EJoGtb1jLbYqatu3ig6AqXgHWRcx+766672CJXzufHIXYeBKwchnJmSriDp4LtKkIZQOMJ1mcagL8eJRMuneEQAeKDehl37/j8BWdNkuRgnt6nPJ/hCqxg95rYQ0/KAzQsBhZ26vLpvggApWugpOx/I6+evhpezuCCqOpUhR61hzkYMyW4oPxtzRTgD0PVtRXeJndRqkLScUjfy1BSINfC2qao1IieDlpvrVRpui6KJadRQl8YBboGhZh6dVJPqGjhLoeYAEwUXUsj68NclTBVkUJZSumZJtZQSta8F6WXcM+aqjvWn7uH8fuzdwTogM0X0om6qYDVq2AFd4YPMtZd4PiL1D5RCoAHaDpJD9uYacDwZg+7Na8s3k4iqq5KxAe1GV8wwJgpyuOD+MLOtMkCW2XuVovcYYuIVba7TIP7IN668fkfYgJSzqwFpZcOtwOM1KhzF66KTeME9PXSHm6x9b4IeF5H2Wu2QLlqhhT5zctNijTT+WeAKKUXHLOTTcXUCY0eq8BYqE2vnpq774lwlwD3NeiHfc6UgkgSGO2a2D4BnZ8TsoZuPOyQJKLZgwHGTGr9A8jBJ4sGpyJWFUdfPWTogE6AlLSuRdC4WE8Z7HtVD49kVYYsxupWzy2WJSlAlbNglGTPUhk5DKTjeoEwM6GXRS/0PiB/nkV6DE6wUOzi7fEBZtx1ziZS3dTKVXD3fliJlWIPNxh+oHk1jNx1M3KFWoqvkpsVECq9lHqurNyaJXqmzMjhzHCT4QNC7TpRdfRw9iqlygDqFlrVMGv09oZoLpjDs0gYYEwDScUgg2/pwk/ppJ5lUb8AqmEREGiCxAdyLpHuGRhePTth4M3shbJi/cDQ25CmFZCht6xtPaUDDGe/Be52JYWsoYVC3CuUpoYBMwVJJ6x3ejLDCc4vhuhdpkYL7LuM4EJ59cNMA97c4CjP0IdSAFxBl3PRTwOmAGYCYgUoquP9ejGycgWaUbQKqtUrYn2wzosoQikFhFp1ITQ7n8LwO8GDhBbowExSOghyLSJHRLMYAwyqFhnrhXQ9l30hMuPAQBQy0q3Xe1BeSO6FSkTfuXrrMotwZW+g/zewRwcg9oVIebOHOLwh/bALNiVHdFsC83QRq3EXe7tmRbFhEgXUtUFGujLFuQC9YJeZBjwpiCdgrTxqZH430vHCFTxL5m4YgK9eDyfAcEppZ2aLqAJBhqGDoXTaCYT0hd+EwIDyzwPaz5zwip5KKUjbmUDXNmRP7bXa4M5xaT6l7OJUyl0QLPf5yZSHJ6KZNYcDjAkN2t59991Ys2YNwuEwwuEwOjs78Ytf/MJ5PRaL4frrr0dLSwsaGhqwYcMGdHcXWb4ZwJe//GWsXLkS9fX1mDdvHtatW4dt27ZN7mhmARGBJAYhQ+/AHHgD0rW18F1ucghIj+mSy4GmTOVLwwsEwlCBMJRTAbPw57n/GZVhzS5QHqCuDSrUYgUZQT3uX9cG+CNQ9QutC1m+hEfP+NVT9Qv6f40nANHXdbd9vC/zeYA+1lQMiEd1Uaz4gKuxhY4jJ1eiEPuXLNDozIhwZmBYfRHORwF6uMcuUKagj9dXp4M6XyNU0yqojs5JLxeuvHVAx/v1lFWr3Dtg9VwI9OqkbWdBNeSf+UNEdCyb0DfrokWL8LWvfQ3Lly+HiOD+++/HJZdcgt/+9rc45ZRTcNNNN+HnP/85HnroIUQiEdxwww24/PLL8etf/7rgPk8++WT867/+K0488USMjY3h9ttvxwUXXIDXX38dCxZMYKbFLCBmUlehtGtCJEdLD1kkxwBPUF/kAuHxr5coC+50oZvuZcA9QLDZKTI1rivd36ArbbadqdeZGO2Bc7ftCQGRE4G6VmDobV0Iy07IDM3XSY/x7BkUShkQf4MOKnKl4xAx9dTOosMfpaaZZs6jTpBt0EW/PD6IYV3cJQ1Jp4HwCVC+oH6Px6/Li6dTQPQ1XQ8iuACq6YTin1cmZXiBBadWZF9EdCyau9NIlEg5t46FNTc345/+6Z9wxRVXYMGCBXjwwQdxxRVXAABeffVVrFq1Clu3bsXZZ59d1v4GBwcRiUTwy1/+Eueff/6E3hONRhEO57lITwM9k+OlrNkREuu3EvOKU3Wt1h1wnmAkMVLewmDuXhLDDwSbim/vrddVOAFIOqnH9w0PkGd2iZhpOAWe+l/JP43V6rnRwy45/GEoX8iakppvOm0Z+RcwsgOwppMhiRTQu8MqRgYgMF+XQ6/R7kQimh7Tcc2wP6P/sdsQrg9ObV8jMcxb/7czeo2bjEnnYKTTaTz00EMYGRlBZ2cnduzYgWQyiXXr1jnbrFy5EkuWLCk7wEgkEvjOd76DSCSCU08tfFcYj8cRj2cucoODxaZ6TpNEtGhlx9IKxHmGt0SAIVaVaN1LICJ61dRSS7+nRiBmCsrw6gXHiiyxbpeRlnS8cI0MpaACEYi3Xs8ksZdQr2uFalislwMfPqBnxIzbhxROOrU5K4kqHbD4w1B+AA0fKv4+IiKaERMOMF588UV0dnYiFouhoaEBDz/8MFavXo1du3bB7/ejqakpa/u2tjZ0dRWf3/+zn/0MV199NUZHR7Fw4UI8/vjjmD8//3obALB582b8/d///USbXl2xvvHPGf7SPRhGiWmhHn/x8tmwcgrhgVgzQMrvkppg51UZU2CVxws0HgdV35H9gq8OEmrNLLI2eiQnkbRYDQyVCYACzbqiKRFRLZjDSZ4TDjBWrFiBXbt2IRqN4sc//jGuvfZaPPXUU1NqxLnnnotdu3bh6NGj+O53v4srr7wS27ZtQ2tra97tN23ahJtvvtn5++DgIBYvLj4NsOryJXL6QrpEczHOCpXWbIjcsg5K6aTE5EjuByIztqesEQyFCY14peKAv5y6FxYnKbTEZ9grqeZQhlfndtS1QppNayn2tC6frTxA7+/H5XfAEwLq2/V5CrZkrbxKRDTrMcAon9/vx7JlywAAa9euxfbt2/Gtb30LV111FRKJBAYGBrJ6Mbq7u9HeXny9g/r6eixbtgzLli3D2WefjeXLl+Pee+/Fpk2b8m4fCAQQCBResnyyROwCVJ6Jj+N7Q0BOz79SBiTQlD2TIus9dVDeAJwFwJwJETnTLQ2vng2RGnMFMlZwkTW0YEDB1StQqCy2/f6B1yDhpXoWSxmU8kCCLUDsaJGNPEAgUsa+DD1zxq11LSQV0zNTRIBABCrvbBYiIprtplxb2DRNxONxrF27Fj6fD1u2bHFe27NnD9555x10dnZOap/TRdJxyMAbQNdWoOs54PBWyMDr+mJXrlD+GS/KG9AzOrwhOAtUeQJAoAnK3wDYS4rb0xzdpcGdRxpAGvD6dS+C4bUenkx0bAcShk/vx87bKNijYW0/uE8vHlau+oW6/YX2GT5BBw+TpLxBqPoOqIbjGFwQ0TFAVehReybUg7Fp0yZcdNFFWLJkCYaGhvDggw/iySefxGOPPYZIJIKNGzfi5ptvRnNzM8LhMD796U+js7MzK8Fz5cqV2Lx5My677DKMjIzgtttuw0c+8hEsXLgQR48exZ133omDBw/iT/7kTyp+sPlIagw4+ruc6aCmXhdi7ChkwRpd76AE5QlAGo/XUzvHveYD/E1A4yJg7KguBW2vSeFv0kmL7uGNdAw4sjP/sEuxIRBnfQ1rTZF0wpqq6lrV0x3I2MaOAPVFFlJzf4ThhTSt0HkUY0czbfRHgLp2vXQ7ERFpHCIpT09PDz7+8Y/j8OHDiEQiWLNmDR577DF86EM6k//222+HYRjYsGED4vE41q9fj7vuuitrH3v27EE0qusleDwevPrqq7j//vtx9OhRtLS04Mwzz8QzzzyDU045pUKHWMLA3sK1JiQF9O8tu86BqmuHGH5dEtyuhaGsvIP6Dr0CaO6wgPv99g+RNwSZfxow8JouxuW0R1BeYqYJvSS6jJ+B4g1mD6uI6BkeZQYYgDWrpL4DUrfQGlIyptRrQUREx54p18GYDSY7p1mSo7qnoJQFp5dd6tnZt2ktRe5aT2IyJDmiFzNLjzoLc5WkjMKzUzz+7NdEAF8D1LyTJ91GIqJaMq11MLZ8HeH6/InvZe9rZAzzzv/C3KmDcUxI5c7MKCA5qmdyTIAqNf203P346nWw4gxrlDGLo+h4XZ7Xgi2Tbh8REZVQmyMcUza3A4xyu/VnuvvfPcOk5EJk1jblvGZ3XgWbp9Q8IiIqYA7nYMztgXN/pIzgwShr2mVVuXsYlIGi/2yGt8APo2tRNGdUzATmrWRpbSIiqrg5HWAowwvUl1jpsqFj0qttVkx9RyYQUva0Vi+y+90MwBO0nre5kkKVV79uV+MMzANaTuWsDyKiquI01bmrcYleO2PUvay8lecQagUaj5+plmVa46uDzFsJ9L2i26WUNdThGu6wey6c2hn2MIpHV8JsPEEv5U5ERNNnDg+RzPkAQykFNC2H1HfoZcvNhF5DpK51wjNHqkkFmyFt79F1NmJ9zvRQXZQrnfkB9AQAX1hPh/XXA0aAQyBERDTt5nyAYVO+eiAyuxfRUh4f0LRs3POSjutaHh5/xWavEBFRBbAHg2qZ8gSKlO8mIqIZU4kUitqML46NAMOuFTY4ODjDLSEiotnOvlYcA3UmZ7VjIsAYGtLltGd8yXYiIqoZQ0NDiESqXIZghodIvva1r2HTpk3467/+a3zzm98EAMRiMXz2s5/Fj370o6xlPdrayl8yohzHRIDR0dGB/fv3o7GxseYSGgcHB7F48WLs37+/pkrAVgPPRQbPhcbzkMFzoVXiPIgIhoaG0NHRUeHW5TNzYyTbt2/Ht7/9baxZsybr+Ztuugk///nP8dBDDyESieCGG27A5Zdfjl//+tdTbGe2YyLAMAwDixYtmulmTEk4HJ7TXxpuPBcZPBcaz0MGz4U21fNQ9Z4L2wz1YAwPD+Oaa67Bd7/7XXz1q191no9Go7j33nvx4IMP4rzzzgMA3HfffVi1ahWee+65rNXPp4qFEYiIiGrA4OBg1iMejxfc9vrrr8cf//EfY926dVnP79ixA8lkMuv5lStXYsmSJdi6dWtF28sAg4iIqFrsHoypPqDzDCORiPPYvHlz3o/80Y9+hJ07d+Z9vaurC36/H01NTVnPt7W1oaurq6KHfkwMkdSyQCCAv/u7v0MgwGmmPBcZPBcaz0MGz4VWc+ehgkMkuXkn+c7B/v378dd//dd4/PHHEQwGp/a5U6SE83SIiIgqanBwEJFIBP2/vgPhhtDU9jU8hnnv+wyi0WjJvJOf/vSnuOyyy+DxZJaSSKfTUErBMAw89thjWLduHfr7+7N6MY4//njceOONuOmmm6bUVjf2YBARER0jzj//fLz44otZz33iE5/AypUr8YUvfAGLFy+Gz+fDli1bsGHDBgDAnj178M4776Czs7OibWGAQUREVC3TPIuksbER73rXu7Keq6+vR0tLi/P8xo0bcfPNN6O5uRnhcBif/vSn0dnZWdEZJAADDCIiojnl9ttvh2EY2LBhQ1ahrUpjDgYREVGFOTkYW/+1MjkYnTeUlYMxm3Ca6jR47bXXcMkll2D+/PkIh8M455xz8Ktf/cp5/fvf/z6UUnkfPT09Rff985//HGeddRZCoRDmzZuHSy+9tMpHM3nVPA8AEI/Hcdppp0EphV27dlXxSKauGufirbfewsaNG7F06VKEQiGcdNJJ+Lu/+zskEonpOqwJq9bPRF9fH6655hqEw2E0NTVh48aNGB4eno5DmrRS58L2/e9/H2vWrEEwGERrayuuv/76ovvt6urCxz72MbS3t6O+vh5/8Ad/gJ/85CfVOowpq9Z5AICtW7fivPPOQ319PcLhMD7wgQ9gbGysGoeRUcFpqrWGAcY0uPjii5FKpfDEE09gx44dOPXUU3HxxRc7c46vuuoqHD58OOuxfv16/OEf/iFaW1sL7vcnP/kJPvaxj+ETn/gEfve73+HXv/41/vRP/3S6DmvCqnUebJ///OenqfTv1FXjXLz66qswTRPf/va3sXv3btx+++2455578L//9/+ezkObkGr9TFxzzTXYvXs3Hn/8cfzsZz/D008/jeuuu266DmtSSp0LAPjnf/5n/O3f/i1uueUW7N69G7/85S+xfv36ovv9+Mc/jj179uC///u/8eKLL+Lyyy/HlVdeid/+9rfVPqRJqdZ52Lp1Ky688EJccMEFeP7557F9+3bccMMNMAxeBqtGqKqOHDkiAOTpp592nhscHBQA8vjjj+d9T09Pj/h8PnnggQcK7jeZTMpxxx0n//Zv/1bxNldDtc6D7X/+539k5cqVsnv3bgEgv/3tbyvV9Iqr9rlw+8Y3viFLly6dUnurpVrn4eWXXxYAsn37due5X/ziF6KUkoMHD1buACqonHPR19cnoVBIfvnLX05o3/X19ePOV3Nzs3z3u9+desMrrJrn4ayzzpIvfvGLFW1vMdFoVABI/3N3Sfql+6b06H/uLgEg0Wh02tpfCQzdqqylpQUrVqzAAw88gJGREaRSKXz7299Ga2sr1q5dm/c9DzzwAOrq6nDFFVcU3O/OnTtx8OBBGIaB008/HQsXLsRFF12El156qVqHMiXVOg8A0N3djU9+8pP493//d9TV1VWj+RVVzXORKxqNorm5uRLNrrhqnYetW7eiqakJZ5xxhvPcunXrYBgGtm3bVvHjqIRyzsXjjz8O0zRx8OBBrFq1CosWLcKVV16J/fv3F933e9/7XvzHf/wH+vr6YJomfvSjHyEWi+GDH/zgNBzZxFTrPPT09GDbtm1obW3Fe9/7XrS1teEP//AP8eyzz1b/oObwEAl7MKbB/v37Ze3ataKUEo/HIwsXLpSdO3cW3H7VqlXyqU99qug+f/jDHwoAWbJkifz4xz+WF154QT760Y9KS0uL9Pb2VvoQKqIa58E0TbnwwgvlK1/5ioiI7Nu3b9b3YIhU51zk2rt3r4TDYfnOd74z1eZWTTXOw2233SYnn3zyuOcXLFggd91115TbXC2lzsXmzZvF5/PJihUr5NFHH5WtW7fK+eefLytWrJB4PF5wv/39/XLBBRcIAPF6vRIOh+Wxxx6bjkOalGqch61btwoAaW5ulu9973uyc+dOufHGG8Xv98trr71WleNwejCe/7akX35gSo/+57/NHoy55JZbbimYfGY/Xn31VYgIrr/+erS2tuKZZ57B888/j0svvRQf/vCHcfjw4XH73bp1K1555RVs3Lix6OebpgkA+Nu//Vts2LABa9euxX333QelFB566KGqHHM+M30e/uVf/gVDQ0PYtGlTtQ6xbDN9LtwOHjyICy+8EH/yJ3+CT37yk5U8zJJm03mYaZU8F6ZpIplM4o477sD69etx9tln44c//CH27t2bNwnSduutt2JgYAC//OUv8cILL+Dmm2/GlVdeOa4YUzXN9Hmwvy//8i//Ep/4xCdw+umn4/bbb8eKFSvwve99b9rOw1zDaaqTdOTIEfT29hbd5sQTT8QzzzyDCy64AP39/VnTi5YvX46NGzfilltuyXrPxo0bsXPnzpIJWL/61a9w3nnn4ZlnnsE555zjPH/WWWdh3bp1uO222yZxVBM30+fh0ksvxSOPPALl6kJMp9PweDy45pprcP/990/iqCZnps+F7dChQ/jgBz+Is88+G9///venPYltps/D9773PXz2s59Ff3+/81wqlUIwGMRDDz2Eyy67bBJHNTmVPBf33Xcf/uIv/gL79+/HokWLnG3a2trw1a9+NW8g+cYbb2DZsmV46aWXcMoppzjPr1u3DsuWLcM999xTgaMsbabPw759+3DiiSfi3//93/Fnf/ZnzvNXXXUVvF4vfvCDH1TgKLM501Sf/05lpqm+57qam6bKQluTtGDBAixYsKDkdqOjowAw7kveMAwnqrYNDw/jP//zPwuukOe2du1aBAIB7Nmzxwkwkskk3nrrLRx//PHlHsaUzfR5uOOOO/DVr37V+fuhQ4ewfv16/Md//AfOOuuscg6hYmb6XAC65+Lcc891erRmIkN+ps9DZ2cnBgYGsGPHDmfc/oknnoBpmjX9M/G+970PgC7rbF9Y+/r6cPTo0YK/84X26/F4xp3japrp83DCCSego6MDe/bsyXr+tddew0UXXTSxg5kohQpU8qxIS6bfzI3OzA1HjhyRlpYWufzyy2XXrl2yZ88e+Zu/+Rvx+Xyya9eurG3/7d/+TYLBoPT394/bz7Zt22TFihVy4MAB57m//uu/luOOO04ee+wxefXVV2Xjxo3S2toqfX191T6sCavmeXCrhRyMap2LAwcOyLJly+T888+XAwcOyOHDh53HbFTNn4kLL7xQTj/9dNm2bZs8++yzsnz5cvnoRz9a7UOatHLPxSWXXCKnnHKK/PrXv5YXX3xRLr74Ylm9erUkEgkR0T8DK1askG3btomISCKRkGXLlsn73/9+2bZtm7z++uvyf/7P/xGllPz85z+fkWMtplrnQUTk9ttvl3A4LA899JDs3btXvvjFL0owGJTXX3+9Ksfi5GBs/46kX/n/T+nRv/07NZmDwQBjGmzfvl0uuOACaW5ulsbGRjn77LPlf/7nf8Zt19nZKX/6p3+adx+/+tWvBIDs27fPeS6RSMhnP/tZaW1tlcbGRlm3bp289NJL1TqMKavWeXCrhQBDpDrn4r777hMAeR+zVbV+Jnp7e+WjH/2oNDQ0SDgclk984hMyNDRUrcOoiHLORTQalb/4i7+QpqYmaW5ulssuu0zeeecd53X75/9Xv/qV89xrr70ml19+ubS2tkpdXZ2sWbNmwtOdp1O1zoOIThBdtGiR1NXVSWdnpzzzzDNVOw4nwHjh3yT96oNTevS/8G81GWAwB4OIiKjCnByMF+5FuGFq0+cHh0cx74yNNZeDwVkkREREVHFM8iQiIqqWaV6ufTZhgEFERFQ1BqY+WFCbgw212WoiIiKa1diDQUREVC0cIiEiIqLKq8RiZQwwiIiIKIvC1AOE2gwwmINBREREFcceDCIiompRhn5MdR81iAEGERFRtczhJM/aDIuIiIhoVmMPBhERUdXM3SRPBhhERETVModzMGqz1URERDSrsQeDiIioSpRSUFNM0pzq+2cKAwwiIqKqmbs5GBwiISIioopjDwYREVG1KFWBJM/a7MFggEFERFQ1c3eIhAEGERFRtbCSJxEREVHlsAeDiIioWuZwoS0GGERERFUzd3MwajMsIiIiolmNPRhERETVMoeTPBlgEBERVcsczsGozVYTERHRrMYeDCIioqqZu0meDDCIiIiqZQ7nYHCIhIiIiCqOPRhERERVY2Dq9/K12RfAAIOIiKha5vAQCQMMIiKiapnDAUZt9rsQERHRrMYeDCIioqphDgYRERFVGodIiIiIiCqHPRhERERVVZs9EFPFAIOIiKhaOERCREREVDkMMIiIiKpGVehRns2bN+PMM89EY2MjWltbcemll2LPnj1Z28RiMVx//fVoaWlBQ0MDNmzYgO7u7ike53gMMIiIiKrFHiKZ6qNMTz31FK6//no899xzePzxx5FMJnHBBRdgZGTE2eamm27CI488goceeghPPfUUDh06hMsvv7zyhy4iUvG9EhERzWGDg4OIRCIYeONJhBsbpravoWE0nfRBRKNRhMPhCb33yJEjaG1txVNPPYUPfOADiEajWLBgAR588EFcccUVAIBXX30Vq1atwtatW3H22WdPqa1u7MEgIiKqGqNCDx20uB/xeLzkp0ejUQBAc3MzAGDHjh1IJpNYt26ds83KlSuxZMkSbN26deqH68IAg4iIqFoqOESyePFiRCIR57F58+aiH22aJm688Ua8733vw7ve9S4AQFdXF/x+P5qamrK2bWtrQ1dXV0UPndNUiYiIqmZiSZqF9wHs378/a4gkEAgUfdf111+Pl156Cc8+++wUP39yGGAQERHVgHA4XHYOxg033ICf/exnePrpp7Fo0SLn+fb2diQSCQwMDGT1YnR3d6O9vb2i7eUQCRERUbVM8ywSEcENN9yAhx9+GE888QSWLl2a9fratWvh8/mwZcsW57k9e/bgnXfeQWdnZ8UOG2APBhERURVVboikHNdffz0efPBB/N//+3/R2Njo5FVEIhGEQiFEIhFs3LgRN998M5qbmxEOh/HpT38anZ2dFZ1BAjDAICIiOmbcfffdAIAPfvCDWc/fd999+PM//3MAwO233w7DMLBhwwbE43GsX78ed911V8XbwjoYREREFebUwdi3FeHwFOtgDA6jaWnnpOpgzCT2YBAREVXN9A6RzCZM8iQiIqKKYw8GERFRtczh5doZYBAREVVNptT31PZRe2qz1URERDSrsQeDiIioWjhEQkRERJU3d2eRMMAgIiKqmrkbYDAHg4iIiCqOPRhERERVolMwptYDUaMpGAwwiIiIqodDJEREREQVwx4MIiKiauE0VSIiIqo8DpEQERERVQx7MIiIiKpFGfox1X3UIAYYREREVcMhEiIiIqKKYQ8GERFRtXAWCREREVXe3B0iYYBBRERULXO4B4M5GERERFRx7MEgIiKqGg6REBERUaVxiISIiIioctiDQUREVDUcIiEiIqJKm8Olwmuz1URERDSrsQeDiIioajhEQkRERJXGWSRERERElcMeDCIioioZHBzGVIc49D5qDwMMIiKiCvP7/Whvb8fi5Wsqsr/29nb4/f6K7Gu6KBGRmW4EERHRsSYWiyGRSFRkX36/H8FgsCL7mi4MMIiIiKjimORJREREFccAg4iIiCqOAQYRERFVHAMMIiIiqjgGGERERFRxDDCIiIio4hhgEBERUcX9fzMuLOmD4L8xAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -1774,7 +1800,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/demos/Harmonize_Tampa_Detailed.ipynb b/demos/Harmonize_Tampa_Detailed.ipynb
index ba5ed18..f160e45 100644
--- a/demos/Harmonize_Tampa_Detailed.ipynb
+++ b/demos/Harmonize_Tampa_Detailed.ipynb
@@ -54,10 +54,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:15:44.370637Z",
-     "iopub.status.busy": "2024-09-05T03:15:44.370435Z",
-     "iopub.status.idle": "2024-09-05T03:15:44.375792Z",
-     "shell.execute_reply": "2024-09-05T03:15:44.375277Z"
+     "iopub.execute_input": "2024-11-05T03:08:34.398735Z",
+     "iopub.status.busy": "2024-11-05T03:08:34.398331Z",
+     "iopub.status.idle": "2024-11-05T03:08:34.403892Z",
+     "shell.execute_reply": "2024-11-05T03:08:34.403449Z"
     }
    },
    "outputs": [],
@@ -75,10 +75,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:15:44.377838Z",
-     "iopub.status.busy": "2024-09-05T03:15:44.377491Z",
-     "iopub.status.idle": "2024-09-05T03:15:44.980188Z",
-     "shell.execute_reply": "2024-09-05T03:15:44.979656Z"
+     "iopub.execute_input": "2024-11-05T03:08:34.405702Z",
+     "iopub.status.busy": "2024-11-05T03:08:34.405384Z",
+     "iopub.status.idle": "2024-11-05T03:08:35.006202Z",
+     "shell.execute_reply": "2024-11-05T03:08:35.005667Z"
     }
    },
    "outputs": [
@@ -86,7 +86,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
       "  warnings.warn('GDAL not installed. Some functions will not work.')\n"
      ]
     }
@@ -112,10 +112,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:15:44.982953Z",
-     "iopub.status.busy": "2024-09-05T03:15:44.982477Z",
-     "iopub.status.idle": "2024-09-05T03:15:46.654975Z",
-     "shell.execute_reply": "2024-09-05T03:15:46.654429Z"
+     "iopub.execute_input": "2024-11-05T03:08:35.008542Z",
+     "iopub.status.busy": "2024-11-05T03:08:35.008100Z",
+     "iopub.status.idle": "2024-11-05T03:08:36.504841Z",
+     "shell.execute_reply": "2024-11-05T03:08:36.504264Z"
     }
    },
    "outputs": [
@@ -153,10 +153,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:15:46.657753Z",
-     "iopub.status.busy": "2024-09-05T03:15:46.657251Z",
-     "iopub.status.idle": "2024-09-05T03:15:46.661762Z",
-     "shell.execute_reply": "2024-09-05T03:15:46.661263Z"
+     "iopub.execute_input": "2024-11-05T03:08:36.506990Z",
+     "iopub.status.busy": "2024-11-05T03:08:36.506675Z",
+     "iopub.status.idle": "2024-11-05T03:08:36.511302Z",
+     "shell.execute_reply": "2024-11-05T03:08:36.510744Z"
     }
    },
    "outputs": [],
@@ -184,10 +184,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:15:46.664340Z",
-     "iopub.status.busy": "2024-09-05T03:15:46.663853Z",
-     "iopub.status.idle": "2024-09-05T03:17:15.113002Z",
-     "shell.execute_reply": "2024-09-05T03:17:15.112449Z"
+     "iopub.execute_input": "2024-11-05T03:08:36.513390Z",
+     "iopub.status.busy": "2024-11-05T03:08:36.513017Z",
+     "iopub.status.idle": "2024-11-05T03:09:42.611317Z",
+     "shell.execute_reply": "2024-11-05T03:09:42.610764Z"
     }
    },
    "outputs": [],
@@ -201,17 +201,17 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:15.115669Z",
-     "iopub.status.busy": "2024-09-05T03:17:15.115214Z",
-     "iopub.status.idle": "2024-09-05T03:17:15.118876Z",
-     "shell.execute_reply": "2024-09-05T03:17:15.118434Z"
+     "iopub.execute_input": "2024-11-05T03:09:42.613229Z",
+     "iopub.status.busy": "2024-11-05T03:09:42.613055Z",
+     "iopub.status.idle": "2024-11-05T03:09:42.616773Z",
+     "shell.execute_reply": "2024-11-05T03:09:42.616245Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(16023, 37)"
+       "(16106, 37)"
       ]
      },
      "execution_count": 6,
@@ -229,10 +229,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:15.121054Z",
-     "iopub.status.busy": "2024-09-05T03:17:15.120645Z",
-     "iopub.status.idle": "2024-09-05T03:17:15.136346Z",
-     "shell.execute_reply": "2024-09-05T03:17:15.135864Z"
+     "iopub.execute_input": "2024-11-05T03:09:42.618362Z",
+     "iopub.status.busy": "2024-11-05T03:09:42.618070Z",
+     "iopub.status.idle": "2024-11-05T03:09:42.633432Z",
+     "shell.execute_reply": "2024-11-05T03:09:42.632964Z"
     }
    },
    "outputs": [
@@ -495,10 +495,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:15.138373Z",
-     "iopub.status.busy": "2024-09-05T03:17:15.138041Z",
-     "iopub.status.idle": "2024-09-05T03:17:15.142986Z",
-     "shell.execute_reply": "2024-09-05T03:17:15.142539Z"
+     "iopub.execute_input": "2024-11-05T03:09:42.635140Z",
+     "iopub.status.busy": "2024-11-05T03:09:42.634743Z",
+     "iopub.status.idle": "2024-11-05T03:09:42.639410Z",
+     "shell.execute_reply": "2024-11-05T03:09:42.638992Z"
     }
    },
    "outputs": [
@@ -526,10 +526,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:15.144962Z",
-     "iopub.status.busy": "2024-09-05T03:17:15.144798Z",
-     "iopub.status.idle": "2024-09-05T03:17:15.461195Z",
-     "shell.execute_reply": "2024-09-05T03:17:15.460665Z"
+     "iopub.execute_input": "2024-11-05T03:09:42.640975Z",
+     "iopub.status.busy": "2024-11-05T03:09:42.640811Z",
+     "iopub.status.idle": "2024-11-05T03:09:42.990280Z",
+     "shell.execute_reply": "2024-11-05T03:09:42.989646Z"
     }
    },
    "outputs": [],
@@ -543,10 +543,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:15.463735Z",
-     "iopub.status.busy": "2024-09-05T03:17:15.463392Z",
-     "iopub.status.idle": "2024-09-05T03:17:15.536073Z",
-     "shell.execute_reply": "2024-09-05T03:17:15.535460Z"
+     "iopub.execute_input": "2024-11-05T03:09:42.992395Z",
+     "iopub.status.busy": "2024-11-05T03:09:42.992217Z",
+     "iopub.status.idle": "2024-11-05T03:09:43.022972Z",
+     "shell.execute_reply": "2024-11-05T03:09:43.022396Z"
     }
    },
    "outputs": [],
@@ -560,17 +560,17 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:15.538381Z",
-     "iopub.status.busy": "2024-09-05T03:17:15.538203Z",
-     "iopub.status.idle": "2024-09-05T03:17:15.542065Z",
-     "shell.execute_reply": "2024-09-05T03:17:15.541574Z"
+     "iopub.execute_input": "2024-11-05T03:09:43.024993Z",
+     "iopub.status.busy": "2024-11-05T03:09:43.024552Z",
+     "iopub.status.idle": "2024-11-05T03:09:43.028353Z",
+     "shell.execute_reply": "2024-11-05T03:09:43.027761Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(16023, 42)"
+       "(16106, 42)"
       ]
      },
      "execution_count": 11,
@@ -588,10 +588,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:15.544085Z",
-     "iopub.status.busy": "2024-09-05T03:17:15.543783Z",
-     "iopub.status.idle": "2024-09-05T03:17:15.548968Z",
-     "shell.execute_reply": "2024-09-05T03:17:15.548537Z"
+     "iopub.execute_input": "2024-11-05T03:09:43.029984Z",
+     "iopub.status.busy": "2024-11-05T03:09:43.029822Z",
+     "iopub.status.idle": "2024-11-05T03:09:43.034814Z",
+     "shell.execute_reply": "2024-11-05T03:09:43.034383Z"
     }
    },
    "outputs": [
@@ -621,17 +621,17 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:15.550828Z",
-     "iopub.status.busy": "2024-09-05T03:17:15.550667Z",
-     "iopub.status.idle": "2024-09-05T03:17:15.554219Z",
-     "shell.execute_reply": "2024-09-05T03:17:15.553765Z"
+     "iopub.execute_input": "2024-11-05T03:09:43.036311Z",
+     "iopub.status.busy": "2024-11-05T03:09:43.036125Z",
+     "iopub.status.idle": "2024-11-05T03:09:43.039720Z",
+     "shell.execute_reply": "2024-11-05T03:09:43.039176Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<geopandas.array.GeometryDtype at 0x7fa6a0452690>"
+       "<geopandas.array.GeometryDtype at 0x7f8930142e90>"
       ]
      },
      "execution_count": 13,
@@ -649,10 +649,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:15.556314Z",
-     "iopub.status.busy": "2024-09-05T03:17:15.556007Z",
-     "iopub.status.idle": "2024-09-05T03:17:15.564020Z",
-     "shell.execute_reply": "2024-09-05T03:17:15.563457Z"
+     "iopub.execute_input": "2024-11-05T03:09:43.041403Z",
+     "iopub.status.busy": "2024-11-05T03:09:43.041102Z",
+     "iopub.status.idle": "2024-11-05T03:09:43.048822Z",
+     "shell.execute_reply": "2024-11-05T03:09:43.048330Z"
     }
    },
    "outputs": [
@@ -684,10 +684,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:15.566099Z",
-     "iopub.status.busy": "2024-09-05T03:17:15.565763Z",
-     "iopub.status.idle": "2024-09-05T03:17:16.125476Z",
-     "shell.execute_reply": "2024-09-05T03:17:16.124803Z"
+     "iopub.execute_input": "2024-11-05T03:09:43.050539Z",
+     "iopub.status.busy": "2024-11-05T03:09:43.050232Z",
+     "iopub.status.idle": "2024-11-05T03:09:43.605745Z",
+     "shell.execute_reply": "2024-11-05T03:09:43.605100Z"
     }
    },
    "outputs": [
@@ -703,7 +703,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -722,10 +722,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:16.127725Z",
-     "iopub.status.busy": "2024-09-05T03:17:16.127551Z",
-     "iopub.status.idle": "2024-09-05T03:17:16.152254Z",
-     "shell.execute_reply": "2024-09-05T03:17:16.151667Z"
+     "iopub.execute_input": "2024-11-05T03:09:43.607987Z",
+     "iopub.status.busy": "2024-11-05T03:09:43.607479Z",
+     "iopub.status.idle": "2024-11-05T03:09:43.631991Z",
+     "shell.execute_reply": "2024-11-05T03:09:43.631409Z"
     }
    },
    "outputs": [],
@@ -739,10 +739,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:16.154428Z",
-     "iopub.status.busy": "2024-09-05T03:17:16.154258Z",
-     "iopub.status.idle": "2024-09-05T03:17:16.560165Z",
-     "shell.execute_reply": "2024-09-05T03:17:16.559503Z"
+     "iopub.execute_input": "2024-11-05T03:09:43.633864Z",
+     "iopub.status.busy": "2024-11-05T03:09:43.633692Z",
+     "iopub.status.idle": "2024-11-05T03:09:44.048055Z",
+     "shell.execute_reply": "2024-11-05T03:09:44.047520Z"
     }
    },
    "outputs": [
@@ -758,7 +758,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -777,17 +777,17 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:16.562589Z",
-     "iopub.status.busy": "2024-09-05T03:17:16.562226Z",
-     "iopub.status.idle": "2024-09-05T03:17:16.566362Z",
-     "shell.execute_reply": "2024-09-05T03:17:16.565661Z"
+     "iopub.execute_input": "2024-11-05T03:09:44.050066Z",
+     "iopub.status.busy": "2024-11-05T03:09:44.049867Z",
+     "iopub.status.idle": "2024-11-05T03:09:44.054687Z",
+     "shell.execute_reply": "2024-11-05T03:09:44.054173Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "10564"
+       "10626"
       ]
      },
      "execution_count": 18,
@@ -805,10 +805,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:16.568356Z",
-     "iopub.status.busy": "2024-09-05T03:17:16.568190Z",
-     "iopub.status.idle": "2024-09-05T03:17:16.570812Z",
-     "shell.execute_reply": "2024-09-05T03:17:16.570205Z"
+     "iopub.execute_input": "2024-11-05T03:09:44.056970Z",
+     "iopub.status.busy": "2024-11-05T03:09:44.056598Z",
+     "iopub.status.idle": "2024-11-05T03:09:44.059156Z",
+     "shell.execute_reply": "2024-11-05T03:09:44.058680Z"
     }
    },
    "outputs": [],
@@ -831,10 +831,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:17:16.572889Z",
-     "iopub.status.busy": "2024-09-05T03:17:16.572726Z",
-     "iopub.status.idle": "2024-09-05T03:53:10.240514Z",
-     "shell.execute_reply": "2024-09-05T03:53:10.239958Z"
+     "iopub.execute_input": "2024-11-05T03:09:44.061053Z",
+     "iopub.status.busy": "2024-11-05T03:09:44.060660Z",
+     "iopub.status.idle": "2024-11-05T03:38:15.852331Z",
+     "shell.execute_reply": "2024-11-05T03:38:15.851755Z"
     }
    },
    "outputs": [
@@ -842,7 +842,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (9,10,13,15,17,19,22,23,28,31,32,33,36,38,58,60,61,63,64,65,70,71,73) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (9,10,13,15,17,19,22,23,28,31,32,33,36,38,56,57,58,60,61,62,63,64,65,70,71,73) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  df = pd.read_csv(StringIO(response.text), delimiter=',')\n"
      ]
     }
@@ -858,10 +858,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:10.242981Z",
-     "iopub.status.busy": "2024-09-05T03:53:10.242637Z",
-     "iopub.status.idle": "2024-09-05T03:53:10.883927Z",
-     "shell.execute_reply": "2024-09-05T03:53:10.883303Z"
+     "iopub.execute_input": "2024-11-05T03:38:15.854313Z",
+     "iopub.status.busy": "2024-11-05T03:38:15.854016Z",
+     "iopub.status.idle": "2024-11-05T03:38:16.504686Z",
+     "shell.execute_reply": "2024-11-05T03:38:16.504116Z"
     }
    },
    "outputs": [
@@ -1055,7 +1055,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465643</th>\n",
+       "      <th>1469163</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500762</td>\n",
@@ -1079,7 +1079,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465644</th>\n",
+       "      <th>1469164</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500762</td>\n",
@@ -1103,7 +1103,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465645</th>\n",
+       "      <th>1469165</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95800924</td>\n",
@@ -1127,7 +1127,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465646</th>\n",
+       "      <th>1469166</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500782</td>\n",
@@ -1151,7 +1151,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465647</th>\n",
+       "      <th>1469167</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500782</td>\n",
@@ -1176,7 +1176,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1465648 rows × 78 columns</p>\n",
+       "<p>1469168 rows × 78 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1187,11 +1187,11 @@
        "3                 21FLHILL_WQX   \n",
        "4                 21FLHILL_WQX   \n",
        "...                        ...   \n",
-       "1465643                USGS-FL   \n",
-       "1465644                USGS-FL   \n",
-       "1465645                USGS-FL   \n",
-       "1465646                USGS-FL   \n",
-       "1465647                USGS-FL   \n",
+       "1469163                USGS-FL   \n",
+       "1469164                USGS-FL   \n",
+       "1469165                USGS-FL   \n",
+       "1469166                USGS-FL   \n",
+       "1469167                USGS-FL   \n",
        "\n",
        "                                    OrganizationFormalName  \\\n",
        "0        Environmental Protection Commission of Hillsbo...   \n",
@@ -1200,11 +1200,11 @@
        "3        Environmental Protection Commission of Hillsbo...   \n",
        "4        Environmental Protection Commission of Hillsbo...   \n",
        "...                                                    ...   \n",
-       "1465643                  USGS Florida Water Science Center   \n",
-       "1465644                  USGS Florida Water Science Center   \n",
-       "1465645                  USGS Florida Water Science Center   \n",
-       "1465646                  USGS Florida Water Science Center   \n",
-       "1465647                  USGS Florida Water Science Center   \n",
+       "1469163                  USGS Florida Water Science Center   \n",
+       "1469164                  USGS Florida Water Science Center   \n",
+       "1469165                  USGS Florida Water Science Center   \n",
+       "1469166                  USGS Florida Water Science Center   \n",
+       "1469167                  USGS Florida Water Science Center   \n",
        "\n",
        "                ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
        "0         21FLHILL_WQX-130612585-W        2013-06-12               11:01:00   \n",
@@ -1213,11 +1213,11 @@
        "3           21FLHILL_WQX-130716021        2013-07-16               11:01:00   \n",
        "4         21FLHILL_WQX-131216112-M        2013-12-16               12:01:00   \n",
        "...                            ...               ...                    ...   \n",
-       "1465643         nwisfl.01.95500762        1955-04-08                    NaN   \n",
-       "1465644         nwisfl.01.95500762        1955-04-08                    NaN   \n",
-       "1465645         nwisfl.01.95800924        1957-10-21               14:05:00   \n",
-       "1465646         nwisfl.01.95500782        1955-04-08                    NaN   \n",
-       "1465647         nwisfl.01.95500782        1955-04-08                    NaN   \n",
+       "1469163         nwisfl.01.95500762        1955-04-08                    NaN   \n",
+       "1469164         nwisfl.01.95500762        1955-04-08                    NaN   \n",
+       "1469165         nwisfl.01.95800924        1957-10-21               14:05:00   \n",
+       "1469166         nwisfl.01.95500782        1955-04-08                    NaN   \n",
+       "1469167         nwisfl.01.95500782        1955-04-08                    NaN   \n",
        "\n",
        "        ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier  \\\n",
        "0                                  EST             21FLHILL_WQX-585   \n",
@@ -1226,11 +1226,11 @@
        "3                                  EST             21FLHILL_WQX-021   \n",
        "4                                  EST             21FLHILL_WQX-112   \n",
        "...                                ...                          ...   \n",
-       "1465643                            NaN         USGS-273926082304501   \n",
-       "1465644                            NaN         USGS-273926082304501   \n",
-       "1465645                            EST                USGS-02306001   \n",
-       "1465646                            NaN         USGS-274455082253601   \n",
-       "1465647                            NaN         USGS-274455082253601   \n",
+       "1469163                            NaN         USGS-273926082304501   \n",
+       "1469164                            NaN         USGS-273926082304501   \n",
+       "1469165                            EST                USGS-02306001   \n",
+       "1469166                            NaN         USGS-274455082253601   \n",
+       "1469167                            NaN         USGS-274455082253601   \n",
        "\n",
        "         ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
        "0        STORET-301235413             NaN                          NaN  ...   \n",
@@ -1239,11 +1239,11 @@
        "3        STORET-300666279             NaN                          NaN  ...   \n",
        "4        STORET-301229196             NaN                          NaN  ...   \n",
        "...                   ...             ...                          ...  ...   \n",
-       "1465643      NWIS-6842541             NaN                          NaN  ...   \n",
-       "1465644      NWIS-6842544             NaN                          NaN  ...   \n",
-       "1465645      NWIS-6894410             NaN                          NaN  ...   \n",
-       "1465646      NWIS-6842941             NaN                          NaN  ...   \n",
-       "1465647      NWIS-6842944             NaN                          NaN  ...   \n",
+       "1469163      NWIS-6842541             NaN                          NaN  ...   \n",
+       "1469164      NWIS-6842544             NaN                          NaN  ...   \n",
+       "1469165      NWIS-6894410             NaN                          NaN  ...   \n",
+       "1469166      NWIS-6842941             NaN                          NaN  ...   \n",
+       "1469167      NWIS-6842944             NaN                          NaN  ...   \n",
        "\n",
        "        AnalysisEndTime/TimeZoneCode ResultLaboratoryCommentCode  \\\n",
        "0                                NaN                         NaN   \n",
@@ -1252,11 +1252,11 @@
        "3                                NaN                         NaN   \n",
        "4                                NaN                         NaN   \n",
        "...                              ...                         ...   \n",
-       "1465643                          NaN                         NaN   \n",
-       "1465644                          NaN                         NaN   \n",
-       "1465645                          NaN                         NaN   \n",
-       "1465646                          NaN                         NaN   \n",
-       "1465647                          NaN                         NaN   \n",
+       "1469163                          NaN                         NaN   \n",
+       "1469164                          NaN                         NaN   \n",
+       "1469165                          NaN                         NaN   \n",
+       "1469166                          NaN                         NaN   \n",
+       "1469167                          NaN                         NaN   \n",
        "\n",
        "        ResultLaboratoryCommentText  \\\n",
        "0                               NaN   \n",
@@ -1265,11 +1265,11 @@
        "3                               NaN   \n",
        "4                               NaN   \n",
        "...                             ...   \n",
-       "1465643                         NaN   \n",
-       "1465644                         NaN   \n",
-       "1465645                         NaN   \n",
-       "1465646                         NaN   \n",
-       "1465647                         NaN   \n",
+       "1469163                         NaN   \n",
+       "1469164                         NaN   \n",
+       "1469165                         NaN   \n",
+       "1469166                         NaN   \n",
+       "1469167                         NaN   \n",
        "\n",
        "                       ResultDetectionQuantitationLimitUrl  \\\n",
        "0                                                      NaN   \n",
@@ -1278,11 +1278,11 @@
        "3        https://www.waterqualitydata.us/data/providers...   \n",
        "4                                                      NaN   \n",
        "...                                                    ...   \n",
-       "1465643                                                NaN   \n",
-       "1465644                                                NaN   \n",
-       "1465645                                                NaN   \n",
-       "1465646                                                NaN   \n",
-       "1465647                                                NaN   \n",
+       "1469163                                                NaN   \n",
+       "1469164                                                NaN   \n",
+       "1469165                                                NaN   \n",
+       "1469166                                                NaN   \n",
+       "1469167                                                NaN   \n",
        "\n",
        "        LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName  \\\n",
        "0                                    NaN                                  NaN   \n",
@@ -1291,11 +1291,11 @@
        "3                                    NaN                                  NaN   \n",
        "4                                    NaN                                  NaN   \n",
        "...                                  ...                                  ...   \n",
-       "1465643                              NaN                                  NaN   \n",
-       "1465644                              NaN                                  NaN   \n",
-       "1465645                              NaN                                  NaN   \n",
-       "1465646                              NaN                                  NaN   \n",
-       "1465647                              NaN                                  NaN   \n",
+       "1469163                              NaN                                  NaN   \n",
+       "1469164                              NaN                                  NaN   \n",
+       "1469165                              NaN                                  NaN   \n",
+       "1469166                              NaN                                  NaN   \n",
+       "1469167                              NaN                                  NaN   \n",
        "\n",
        "        TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName  \\\n",
        "0                                    NaN                                  NaN   \n",
@@ -1304,11 +1304,11 @@
        "3                                    NaN                                  NaN   \n",
        "4                                    NaN                                  NaN   \n",
        "...                                  ...                                  ...   \n",
-       "1465643                              NaN                                  NaN   \n",
-       "1465644                              NaN                                  NaN   \n",
-       "1465645                              NaN                                  NaN   \n",
-       "1465646                              NaN                                  NaN   \n",
-       "1465647                              NaN                                  NaN   \n",
+       "1469163                              NaN                                  NaN   \n",
+       "1469164                              NaN                                  NaN   \n",
+       "1469165                              NaN                                  NaN   \n",
+       "1469166                              NaN                                  NaN   \n",
+       "1469167                              NaN                                  NaN   \n",
        "\n",
        "        LabSamplePreparationUrl ProviderName  \n",
        "0                           NaN       STORET  \n",
@@ -1317,13 +1317,13 @@
        "3                           NaN       STORET  \n",
        "4                           NaN       STORET  \n",
        "...                         ...          ...  \n",
-       "1465643                     NaN         NWIS  \n",
-       "1465644                     NaN         NWIS  \n",
-       "1465645                     NaN         NWIS  \n",
-       "1465646                     NaN         NWIS  \n",
-       "1465647                     NaN         NWIS  \n",
+       "1469163                     NaN         NWIS  \n",
+       "1469164                     NaN         NWIS  \n",
+       "1469165                     NaN         NWIS  \n",
+       "1469166                     NaN         NWIS  \n",
+       "1469167                     NaN         NWIS  \n",
        "\n",
-       "[1465648 rows x 78 columns]"
+       "[1469168 rows x 78 columns]"
       ]
      },
      "execution_count": 21,
@@ -1341,10 +1341,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:10.886158Z",
-     "iopub.status.busy": "2024-09-05T03:53:10.885866Z",
-     "iopub.status.idle": "2024-09-05T03:53:12.135186Z",
-     "shell.execute_reply": "2024-09-05T03:53:12.134628Z"
+     "iopub.execute_input": "2024-11-05T03:38:16.506504Z",
+     "iopub.status.busy": "2024-11-05T03:38:16.506335Z",
+     "iopub.status.idle": "2024-11-05T03:38:17.771794Z",
+     "shell.execute_reply": "2024-11-05T03:38:17.771221Z"
     }
    },
    "outputs": [
@@ -1360,7 +1360,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1395,10 +1395,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:12.137538Z",
-     "iopub.status.busy": "2024-09-05T03:53:12.137033Z",
-     "iopub.status.idle": "2024-09-05T03:53:12.139566Z",
-     "shell.execute_reply": "2024-09-05T03:53:12.139136Z"
+     "iopub.execute_input": "2024-11-05T03:38:17.773727Z",
+     "iopub.status.busy": "2024-11-05T03:38:17.773311Z",
+     "iopub.status.idle": "2024-11-05T03:38:17.775903Z",
+     "shell.execute_reply": "2024-11-05T03:38:17.775386Z"
     }
    },
    "outputs": [],
@@ -1420,10 +1420,10 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:12.141562Z",
-     "iopub.status.busy": "2024-09-05T03:53:12.141242Z",
-     "iopub.status.idle": "2024-09-05T03:53:19.480554Z",
-     "shell.execute_reply": "2024-09-05T03:53:19.480077Z"
+     "iopub.execute_input": "2024-11-05T03:38:17.777506Z",
+     "iopub.status.busy": "2024-11-05T03:38:17.777226Z",
+     "iopub.status.idle": "2024-11-05T03:38:25.225639Z",
+     "shell.execute_reply": "2024-11-05T03:38:25.225151Z"
     },
     "scrolled": true
    },
@@ -1432,7 +1432,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n",
       "  warn(\"WARNING: \" + problem)\n"
      ]
     },
@@ -1441,9 +1441,9 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    86883.000000\n",
-      "mean         1.470456\n",
-      "std          0.901391\n",
+      "count    87158.000000\n",
+      "mean         1.469479\n",
+      "std          0.902122\n",
       "min         -9.000000\n",
       "25%          0.900000\n",
       "50%          1.300000\n",
@@ -1452,12 +1452,12 @@
       "dtype: float64\n",
       "Unusable results: 219\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 6.8787994128969): 47\n"
+      "Results outside threshold (0.0 to 6.882210642030191): 48\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1486,10 +1486,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:19.482612Z",
-     "iopub.status.busy": "2024-09-05T03:53:19.482441Z",
-     "iopub.status.idle": "2024-09-05T03:53:19.664426Z",
-     "shell.execute_reply": "2024-09-05T03:53:19.663838Z"
+     "iopub.execute_input": "2024-11-05T03:38:25.227482Z",
+     "iopub.status.busy": "2024-11-05T03:38:25.227152Z",
+     "iopub.status.idle": "2024-11-05T03:38:25.400119Z",
+     "shell.execute_reply": "2024-11-05T03:38:25.399534Z"
     }
    },
    "outputs": [
@@ -1578,53 +1578,53 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465327</th>\n",
-       "      <td>21FLBSG-4</td>\n",
-       "      <td>1</td>\n",
+       "      <th>1468823</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0156</td>\n",
+       "      <td>0.5</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
-       "      <td>1.0 meter</td>\n",
+       "      <td>0.5 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465328</th>\n",
-       "      <td>21FLBSG-4</td>\n",
-       "      <td>1.1</td>\n",
+       "      <th>1468852</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0136</td>\n",
+       "      <td>0.5</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
-       "      <td>1.1 meter</td>\n",
+       "      <td>0.5 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465329</th>\n",
-       "      <td>21FLBSG-4</td>\n",
-       "      <td>1.5</td>\n",
+       "      <th>1468854</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0129</td>\n",
+       "      <td>0.4</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
-       "      <td>1.5 meter</td>\n",
+       "      <td>0.4 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465330</th>\n",
-       "      <td>21FLBSG-4</td>\n",
-       "      <td>1.4</td>\n",
+       "      <th>1468930</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0155</td>\n",
+       "      <td>0.5</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
-       "      <td>1.4 meter</td>\n",
+       "      <td>0.5 meter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465331</th>\n",
-       "      <td>21FLBSG-4</td>\n",
-       "      <td>1.4</td>\n",
+       "      <th>1468932</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0156</td>\n",
+       "      <td>0.4</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "      <td>m</td>\n",
-       "      <td>1.4 meter</td>\n",
+       "      <td>0.4 meter</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>87102 rows × 6 columns</p>\n",
+       "<p>87377 rows × 6 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1635,11 +1635,11 @@
        "130               21FLHILL_WQX-14434               1.30   \n",
        "132            21FLCOSP_WQX-COSPE6-4                2.6   \n",
        "...                              ...                ...   \n",
-       "1465327                    21FLBSG-4                  1   \n",
-       "1465328                    21FLBSG-4                1.1   \n",
-       "1465329                    21FLBSG-4                1.5   \n",
-       "1465330                    21FLBSG-4                1.4   \n",
-       "1465331                    21FLBSG-4                1.4   \n",
+       "1468823         21FLTPA_WQX-G1SW0156                0.5   \n",
+       "1468852         21FLTPA_WQX-G1SW0136                0.5   \n",
+       "1468854         21FLTPA_WQX-G1SW0129                0.4   \n",
+       "1468930         21FLTPA_WQX-G1SW0155                0.5   \n",
+       "1468932         21FLTPA_WQX-G1SW0156                0.4   \n",
        "\n",
        "        ResultMeasure/MeasureUnitCode QA_flag Units     Secchi  \n",
        "78                                  m     NaN     m  0.6 meter  \n",
@@ -1648,13 +1648,13 @@
        "130                                 m     NaN     m  1.3 meter  \n",
        "132                                 m     NaN     m  2.6 meter  \n",
        "...                               ...     ...   ...        ...  \n",
-       "1465327                             m     NaN     m  1.0 meter  \n",
-       "1465328                             m     NaN     m  1.1 meter  \n",
-       "1465329                             m     NaN     m  1.5 meter  \n",
-       "1465330                             m     NaN     m  1.4 meter  \n",
-       "1465331                             m     NaN     m  1.4 meter  \n",
+       "1468823                             m     NaN     m  0.5 meter  \n",
+       "1468852                             m     NaN     m  0.5 meter  \n",
+       "1468854                             m     NaN     m  0.4 meter  \n",
+       "1468930                             m     NaN     m  0.5 meter  \n",
+       "1468932                             m     NaN     m  0.4 meter  \n",
        "\n",
-       "[87102 rows x 6 columns]"
+       "[87377 rows x 6 columns]"
       ]
      },
      "execution_count": 25,
@@ -1674,10 +1674,10 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:19.666702Z",
-     "iopub.status.busy": "2024-09-05T03:53:19.666318Z",
-     "iopub.status.idle": "2024-09-05T03:53:19.711440Z",
-     "shell.execute_reply": "2024-09-05T03:53:19.710866Z"
+     "iopub.execute_input": "2024-11-05T03:38:25.402122Z",
+     "iopub.status.busy": "2024-11-05T03:38:25.401686Z",
+     "iopub.status.idle": "2024-11-05T03:38:25.445415Z",
+     "shell.execute_reply": "2024-11-05T03:38:25.444951Z"
     }
    },
    "outputs": [
@@ -1766,47 +1766,47 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1458855</th>\n",
-       "      <td>21FLKWAT_WQX-HIL-CHURCH-1</td>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1454646</th>\n",
+       "      <td>USGS-273631082452600</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1459179</th>\n",
-       "      <td>21FLKWAT_WQX-HIL-ARMISTEAD-3</td>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1454974</th>\n",
+       "      <td>USGS-275100082280500</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1459995</th>\n",
-       "      <td>21FLKWAT_WQX-HIL-CHURCH-3</td>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1454979</th>\n",
+       "      <td>USGS-275100082280500</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460570</th>\n",
-       "      <td>21FLKWAT_WQX-HIL-ARMISTEAD-1</td>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1455182</th>\n",
+       "      <td>USGS-275530082383300</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460641</th>\n",
-       "      <td>21FLKWAT_WQX-HIL-ARMISTEAD-2</td>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1455422</th>\n",
+       "      <td>USGS-275530082383300</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
@@ -1823,11 +1823,11 @@
        "671238   21FLKWAT_WQX-PIN-COFFEEPOBAYOU-6       Not Reported   \n",
        "672987            21FLPDEM_WQX-E2-D-19-02       Not Reported   \n",
        "...                                   ...                ...   \n",
-       "1458855         21FLKWAT_WQX-HIL-CHURCH-1       Not Reported   \n",
-       "1459179      21FLKWAT_WQX-HIL-ARMISTEAD-3       Not Reported   \n",
-       "1459995         21FLKWAT_WQX-HIL-CHURCH-3       Not Reported   \n",
-       "1460570      21FLKWAT_WQX-HIL-ARMISTEAD-1       Not Reported   \n",
-       "1460641      21FLKWAT_WQX-HIL-ARMISTEAD-2       Not Reported   \n",
+       "1454646              USGS-273631082452600                NaN   \n",
+       "1454974              USGS-275100082280500                NaN   \n",
+       "1454979              USGS-275100082280500                NaN   \n",
+       "1455182              USGS-275530082383300                NaN   \n",
+       "1455422              USGS-275530082383300                NaN   \n",
        "\n",
        "        ResultMeasure/MeasureUnitCode  \\\n",
        "661231                              m   \n",
@@ -1836,11 +1836,11 @@
        "671238                            NaN   \n",
        "672987                              m   \n",
        "...                               ...   \n",
-       "1458855                           NaN   \n",
-       "1459179                           NaN   \n",
-       "1459995                           NaN   \n",
-       "1460570                           NaN   \n",
-       "1460641                           NaN   \n",
+       "1454646                           NaN   \n",
+       "1454974                           NaN   \n",
+       "1454979                           NaN   \n",
+       "1455182                           NaN   \n",
+       "1455422                           NaN   \n",
        "\n",
        "                                                   QA_flag Units Secchi  \n",
        "661231   ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
@@ -1849,11 +1849,11 @@
        "671238   ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
        "672987   ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
        "...                                                    ...   ...    ...  \n",
-       "1458855  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "1459179  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "1459995  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "1460570  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
-       "1460641  ResultMeasureValue: \"Not Reported\" result cann...     m    NaN  \n",
+       "1454646  ResultMeasureValue: missing (NaN) result; Resu...     m    NaN  \n",
+       "1454974  ResultMeasureValue: missing (NaN) result; Resu...     m    NaN  \n",
+       "1454979  ResultMeasureValue: missing (NaN) result; Resu...     m    NaN  \n",
+       "1455182  ResultMeasureValue: missing (NaN) result; Resu...     m    NaN  \n",
+       "1455422  ResultMeasureValue: missing (NaN) result; Resu...     m    NaN  \n",
        "\n",
        "[219 rows x 6 columns]"
       ]
@@ -1873,10 +1873,10 @@
    "execution_count": 27,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:19.713592Z",
-     "iopub.status.busy": "2024-09-05T03:53:19.713272Z",
-     "iopub.status.idle": "2024-09-05T03:53:19.754357Z",
-     "shell.execute_reply": "2024-09-05T03:53:19.753848Z"
+     "iopub.execute_input": "2024-11-05T03:38:25.447185Z",
+     "iopub.status.busy": "2024-11-05T03:38:25.446836Z",
+     "iopub.status.idle": "2024-11-05T03:38:25.485915Z",
+     "shell.execute_reply": "2024-11-05T03:38:25.485440Z"
     }
    },
    "outputs": [
@@ -1901,10 +1901,10 @@
    "execution_count": 28,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:19.756583Z",
-     "iopub.status.busy": "2024-09-05T03:53:19.756238Z",
-     "iopub.status.idle": "2024-09-05T03:53:19.796608Z",
-     "shell.execute_reply": "2024-09-05T03:53:19.796140Z"
+     "iopub.execute_input": "2024-11-05T03:38:25.487657Z",
+     "iopub.status.busy": "2024-11-05T03:38:25.487326Z",
+     "iopub.status.idle": "2024-11-05T03:38:25.617385Z",
+     "shell.execute_reply": "2024-11-05T03:38:25.616812Z"
     }
    },
    "outputs": [
@@ -1993,47 +1993,47 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1458855</th>\n",
-       "      <td>21FLKWAT_WQX-HIL-CHURCH-1</td>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1454646</th>\n",
+       "      <td>USGS-273631082452600</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1459179</th>\n",
-       "      <td>21FLKWAT_WQX-HIL-ARMISTEAD-3</td>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1454974</th>\n",
+       "      <td>USGS-275100082280500</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1459995</th>\n",
-       "      <td>21FLKWAT_WQX-HIL-CHURCH-3</td>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1454979</th>\n",
+       "      <td>USGS-275100082280500</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460570</th>\n",
-       "      <td>21FLKWAT_WQX-HIL-ARMISTEAD-1</td>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1455182</th>\n",
+       "      <td>USGS-275530082383300</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460641</th>\n",
-       "      <td>21FLKWAT_WQX-HIL-ARMISTEAD-2</td>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1455422</th>\n",
+       "      <td>USGS-275530082383300</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>m</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
@@ -2050,11 +2050,11 @@
        "669267   21FLKWAT_WQX-PIN-COFFEEPOBAYOU-8       Not Reported   \n",
        "671238   21FLKWAT_WQX-PIN-COFFEEPOBAYOU-6       Not Reported   \n",
        "...                                   ...                ...   \n",
-       "1458855         21FLKWAT_WQX-HIL-CHURCH-1       Not Reported   \n",
-       "1459179      21FLKWAT_WQX-HIL-ARMISTEAD-3       Not Reported   \n",
-       "1459995         21FLKWAT_WQX-HIL-CHURCH-3       Not Reported   \n",
-       "1460570      21FLKWAT_WQX-HIL-ARMISTEAD-1       Not Reported   \n",
-       "1460641      21FLKWAT_WQX-HIL-ARMISTEAD-2       Not Reported   \n",
+       "1454646              USGS-273631082452600                NaN   \n",
+       "1454974              USGS-275100082280500                NaN   \n",
+       "1454979              USGS-275100082280500                NaN   \n",
+       "1455182              USGS-275530082383300                NaN   \n",
+       "1455422              USGS-275530082383300                NaN   \n",
        "\n",
        "        ResultMeasure/MeasureUnitCode  \\\n",
        "244360                           None   \n",
@@ -2063,11 +2063,11 @@
        "669267                            NaN   \n",
        "671238                            NaN   \n",
        "...                               ...   \n",
-       "1458855                           NaN   \n",
-       "1459179                           NaN   \n",
-       "1459995                           NaN   \n",
-       "1460570                           NaN   \n",
-       "1460641                           NaN   \n",
+       "1454646                           NaN   \n",
+       "1454974                           NaN   \n",
+       "1454979                           NaN   \n",
+       "1455182                           NaN   \n",
+       "1455422                           NaN   \n",
        "\n",
        "                                                   QA_flag Units      Secchi  \n",
        "244360   ResultMeasure/MeasureUnitCode: 'None' UNDEFINE...     m  -9.0 meter  \n",
@@ -2076,11 +2076,11 @@
        "669267   ResultMeasureValue: \"Not Reported\" result cann...     m         NaN  \n",
        "671238   ResultMeasureValue: \"Not Reported\" result cann...     m         NaN  \n",
        "...                                                    ...   ...         ...  \n",
-       "1458855  ResultMeasureValue: \"Not Reported\" result cann...     m         NaN  \n",
-       "1459179  ResultMeasureValue: \"Not Reported\" result cann...     m         NaN  \n",
-       "1459995  ResultMeasureValue: \"Not Reported\" result cann...     m         NaN  \n",
-       "1460570  ResultMeasureValue: \"Not Reported\" result cann...     m         NaN  \n",
-       "1460641  ResultMeasureValue: \"Not Reported\" result cann...     m         NaN  \n",
+       "1454646  ResultMeasureValue: missing (NaN) result; Resu...     m         NaN  \n",
+       "1454974  ResultMeasureValue: missing (NaN) result; Resu...     m         NaN  \n",
+       "1454979  ResultMeasureValue: missing (NaN) result; Resu...     m         NaN  \n",
+       "1455182  ResultMeasureValue: missing (NaN) result; Resu...     m         NaN  \n",
+       "1455422  ResultMeasureValue: missing (NaN) result; Resu...     m         NaN  \n",
        "\n",
        "[220 rows x 6 columns]"
       ]
@@ -2107,10 +2107,10 @@
    "execution_count": 29,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:19.798725Z",
-     "iopub.status.busy": "2024-09-05T03:53:19.798399Z",
-     "iopub.status.idle": "2024-09-05T03:53:19.867024Z",
-     "shell.execute_reply": "2024-09-05T03:53:19.866499Z"
+     "iopub.execute_input": "2024-11-05T03:38:25.619155Z",
+     "iopub.status.busy": "2024-11-05T03:38:25.618989Z",
+     "iopub.status.idle": "2024-11-05T03:38:25.686228Z",
+     "shell.execute_reply": "2024-11-05T03:38:25.685657Z"
     }
    },
    "outputs": [
@@ -2178,38 +2178,38 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11680</th>\n",
+       "      <th>11759</th>\n",
        "      <td>USGS-280630082350900</td>\n",
        "      <td>3</td>\n",
        "      <td>1.966667</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11681</th>\n",
+       "      <th>11760</th>\n",
        "      <td>USGS-280635082322100</td>\n",
        "      <td>2</td>\n",
        "      <td>2.100000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11682</th>\n",
+       "      <th>11761</th>\n",
        "      <td>USGS-280640082434700</td>\n",
        "      <td>3</td>\n",
        "      <td>2.302933</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11683</th>\n",
+       "      <th>11762</th>\n",
        "      <td>USGS-280719082291400</td>\n",
        "      <td>2</td>\n",
        "      <td>1.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11684</th>\n",
+       "      <th>11763</th>\n",
        "      <td>USGS-280730082431800</td>\n",
        "      <td>3</td>\n",
        "      <td>1.947333</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>11685 rows × 3 columns</p>\n",
+       "<p>11764 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -2220,13 +2220,13 @@
        "3                  21FLBRA-1574A-A    2  0.250000\n",
        "4                  21FLBRA-1574A-B    1  1.250000\n",
        "...                            ...  ...       ...\n",
-       "11680         USGS-280630082350900    3  1.966667\n",
-       "11681         USGS-280635082322100    2  2.100000\n",
-       "11682         USGS-280640082434700    3  2.302933\n",
-       "11683         USGS-280719082291400    2  1.000000\n",
-       "11684         USGS-280730082431800    3  1.947333\n",
+       "11759         USGS-280630082350900    3  1.966667\n",
+       "11760         USGS-280635082322100    2  2.100000\n",
+       "11761         USGS-280640082434700    3  2.302933\n",
+       "11762         USGS-280719082291400    2  1.000000\n",
+       "11763         USGS-280730082431800    3  1.947333\n",
        "\n",
-       "[11685 rows x 3 columns]"
+       "[11764 rows x 3 columns]"
       ]
      },
      "execution_count": 29,
@@ -2244,10 +2244,10 @@
    "execution_count": 30,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:19.869164Z",
-     "iopub.status.busy": "2024-09-05T03:53:19.868812Z",
-     "iopub.status.idle": "2024-09-05T03:53:20.586219Z",
-     "shell.execute_reply": "2024-09-05T03:53:20.585652Z"
+     "iopub.execute_input": "2024-11-05T03:38:25.688061Z",
+     "iopub.status.busy": "2024-11-05T03:38:25.687754Z",
+     "iopub.status.idle": "2024-11-05T03:38:26.306933Z",
+     "shell.execute_reply": "2024-11-05T03:38:26.306350Z"
     }
    },
    "outputs": [
@@ -2255,7 +2255,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 2.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 2.\n",
       "  self.bins = quantile(y, k=k)\n"
      ]
     },
@@ -2271,7 +2271,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2291,10 +2291,10 @@
    "execution_count": 31,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:20.588416Z",
-     "iopub.status.busy": "2024-09-05T03:53:20.588069Z",
-     "iopub.status.idle": "2024-09-05T03:53:21.249185Z",
-     "shell.execute_reply": "2024-09-05T03:53:21.248625Z"
+     "iopub.execute_input": "2024-11-05T03:38:26.308899Z",
+     "iopub.status.busy": "2024-11-05T03:38:26.308565Z",
+     "iopub.status.idle": "2024-11-05T03:38:26.944659Z",
+     "shell.execute_reply": "2024-11-05T03:38:26.944097Z"
     }
    },
    "outputs": [
@@ -2310,7 +2310,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2344,10 +2344,10 @@
    "execution_count": 32,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:21.251642Z",
-     "iopub.status.busy": "2024-09-05T03:53:21.251237Z",
-     "iopub.status.idle": "2024-09-05T03:53:27.998002Z",
-     "shell.execute_reply": "2024-09-05T03:53:27.997434Z"
+     "iopub.execute_input": "2024-11-05T03:38:26.946435Z",
+     "iopub.status.busy": "2024-11-05T03:38:26.946266Z",
+     "iopub.status.idle": "2024-11-05T03:38:33.686551Z",
+     "shell.execute_reply": "2024-11-05T03:38:33.685994Z"
     }
    },
    "outputs": [
@@ -2356,9 +2356,9 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    300062.000000\n",
-      "mean         25.306539\n",
-      "std          79.896745\n",
+      "count    300583.000000\n",
+      "mean         25.305305\n",
+      "std          79.827718\n",
       "min          -2.900000\n",
       "25%          21.200000\n",
       "50%          25.900000\n",
@@ -2367,12 +2367,12 @@
       "dtype: float64\n",
       "Unusable results: 153\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 504.6870062954504): 2\n"
+      "Results outside threshold (0.0 to 504.2716123408743): 2\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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Fcrlcuvfee1VWVqb58+dr3LhxkqQFCxZo0KBBmjJliiRp9uzZ8vl8evHFF7Vo0aK6bgsAABimziWnrk6cOKGoqCi1bdvWcXzOnDmaPXu2OnTooBEjRmjy5Mlq2fKr5fj9fvXp00cul8sen5OTo1//+tf64osvlJCQIL/fr4KCAsecOTk5jrfPvq66ulrV1dX27WAwKOmrt9lCodAN7vT/q5krknPeKHe0dcVzDbHOmzGTxkQe4cjEiTzCkYlTc87jWvdcryXn7Nmzmjp1qoYPH674+Hj7+C9+8Qv17NlT7dq107Zt2zRt2jRVVlZq/vz5kqRAIKD09HTHXElJSfa5hIQEBQIB+9ilYwKBwBXXU1RUpJkzZ4YdLy4uVlxc3HXv80q+/qpWY5rb+8rnGvJappspk5sBeYQjEyfyCEcmTs0xjzNnzlzTuHorOaFQSP/xH/8hy7L08ssvO85d+gpMZmamXC6Xfvazn6moqEhut7u+lqRp06Y5HjsYDCo1NVXZ2dmOEnajQqGQfD6fBg4cqJiYmIjNeyO6Fa6/4rm9hTn1/vg3YyaNiTzCkYkTeYQjE6fmnEfNOzG1qZeSU1Nw/v73v2vjxo21FoisrCydP39ehw8fVufOneXxeFRVVeUYU3O75jqeK4250nU+kuR2uy9bomJiYurlCVJf816P6gtRVzzXkGu8mTK5GZBHODJxIo9wZOLUHPO41v1G/Pfk1BScTz/9VBs2bNBtt91W633KysrUokULJSYmSpK8Xq+2bNnieM/N5/Opc+fOSkhIsMeUlJQ45vH5fPJ6vRHcDQAAaKrq/ErOqVOndPDgQft2eXm5ysrK1K5dOyUnJ+vf//3f9eGHH2r16tW6cOGCfY1Mu3bt5HK55Pf7tWPHDvXr10+tW7eW3+/X5MmT9eijj9oFZsSIEZo5c6bGjBmjqVOnau/evVqwYIFeeOEF+3GfeOIJffe739W8efOUl5en5cuXa9euXY6PmQMAgOarziVn165d6tevn3275hqX0aNHq7CwUO+8844k6b777nPc77333lPfvn3ldru1fPlyFRYWqrq6Wunp6Zo8ebLjWpk2bdqouLhY+fn56tWrl9q3b68ZM2bYHx+XpAceeEDLli3T9OnT9cwzz+juu+/WqlWr1K1bt7puCQAAGKjOJadv376yrCt/HPlq5ySpZ8+e2r59e62Pk5mZqffff/+qY4YNG6Zhw4bVOhcAAGh++NtVAADASJQcAABgJEoOAAAwEiUHAAAYiZIDAACMRMkBAABGouQAAAAjUXIAAICRKDkAAMBIlBwAAGAkSg4AADASJQcAABiJkgMAAIxEyQEAAEai5AAAACNRcgAAgJEoOQAAwEiUHAAAYCRKDgAAMBIlBwAAGImSAwAAjETJAQAARqLkAAAAI1FyAACAkSg5AADASJQcAABgJEoOAAAwEiUHAAAYiZIDAACMRMkBAABGouQAAAAjUXIM1/HpNY29BAAAGgUlBwAAGImS0wzwag4AoDmi5AAAACNRcgAAgJEoOQAAwEiUHAAAYKQ6l5wtW7Zo8ODBSklJUVRUlFatWuU4b1mWZsyYoeTkZLVq1UoDBgzQp59+6hhz7NgxjRw5UvHx8Wrbtq3GjBmjU6dOOcbs2bNHDz74oGJjY5Wamqq5c+eGrWXlypXq0qWLYmNjlZGRobVr19Z1OwAAwFB1LjmnT59W9+7dtXDhwsuenzt3rn73u99p0aJF2rFjh2655Rbl5OTo7Nmz9piRI0dq37598vl8Wr16tbZs2aJx48bZ54PBoLKzs5WWlqbS0lI9//zzKiws1CuvvGKP2bZtm4YPH64xY8Zo9+7dGjJkiIYMGaK9e/fWdUsAAMBALet6h9zcXOXm5l72nGVZ+u1vf6vp06froYcekiT9z//8j5KSkrRq1So98sgj+tvf/qZ169bpgw8+0P333y9J+v3vf6/vf//7+s1vfqOUlBQtXbpU586d0+LFi+VyuXTvvfeqrKxM8+fPt8vQggULNGjQIE2ZMkWSNHv2bPl8Pr344otatGjRdYUBAADMEdFrcsrLyxUIBDRgwAD7WJs2bZSVlSW/3y9J8vv9atu2rV1wJGnAgAFq0aKFduzYYY/p06ePXC6XPSYnJ0cHDhzQF198YY+59HFqxtQ8DgAAaN7q/ErO1QQCAUlSUlKS43hSUpJ9LhAIKDEx0bmIli3Vrl07x5j09PSwOWrOJSQkKBAIXPVxLqe6ulrV1dX27WAwKEkKhUIKhULXvM/a1MwVyTmvlzvaqnVMQ6zzZsrkZkAe4cjEiTzCkYlTc87jWvcc0ZJzsysqKtLMmTPDjhcXFysuLi7ij+fz+SI+Z13N7V37mIa8YPtmyORmQh7hyMSJPMKRiVNzzOPMmTPXNC6iJcfj8UiSqqqqlJycbB+vqqrSfffdZ485cuSI437nz5/XsWPH7Pt7PB5VVVU5xtTcrm1MzfnLmTZtmgoKCuzbwWBQqampys7OVnx8fF22elWhUEg+n08DBw5UTExMxOa9Ht0K19c6Zm9hTr2v42bK5GZAHuHIxIk8wpGJU3POo+admNpEtOSkp6fL4/GopKTELjXBYFA7duzQhAkTJEler1fHjx9XaWmpevXqJUnauHGjLl68qKysLHvMf/3XfykUCtn/w/l8PnXu3FkJCQn2mJKSEk2aNMl+fJ/PJ6/Xe8X1ud1uud3usOMxMTH18gSpr3mvRcen1+jwnDxVX4iqdWxDrrExM7kZkUc4MnEij3Bk4tQc87jW/db5wuNTp06prKxMZWVlkr662LisrEwVFRWKiorSpEmT9Ktf/UrvvPOOPv74Y40aNUopKSkaMmSIJOmee+7RoEGDNHbsWO3cuVN//etfNXHiRD3yyCNKSUmRJI0YMUIul0tjxozRvn37tGLFCi1YsMDxKswTTzyhdevWad68edq/f78KCwu1a9cuTZw4sa5bAgAABqrzKzm7du1Sv3797Ns1xWP06NFasmSJnnrqKZ0+fVrjxo3T8ePH9Z3vfEfr1q1TbGysfZ+lS5dq4sSJ6t+/v1q0aKGhQ4fqd7/7nX2+TZs2Ki4uVn5+vnr16qX27dtrxowZjt+l88ADD2jZsmWaPn26nnnmGd19991atWqVunXrdl1BAAAAs9S55PTt21eWdeVP7ERFRWnWrFmaNWvWFce0a9dOy5Ytu+rjZGZm6v3337/qmGHDhmnYsGFXXzAAAGiW+NtVAADASJQcAABgJEqOwTo+vaaxlwAAQKOh5AAAACNRcgAAgJEoOQAAwEiUHAAAYCRKDgAAMBIlBwAAGImSY4iaj4vzsXEAAL5CyQEAAEai5BiIV3MAAKDkAAAAQ1FyAACAkSg5AADASJQcg3AtDgAA/x8lBwAAGImSAwAAjETJAQAARqLkAAAAI1FyAACAkSg5AADASJQcAABgJEoOAAAwEiUHAAAYiZIDAACMRMkBAABGouQYgL9ZBQBAOEoOAAAwEiUHAAAYiZIDAACMRMkBAABGouQAAAAjUXIAAICRKDkAAMBIlBwAAGAkSg4AADASJQcAABiJkgMAAIwU8ZLTsWNHRUVFhX3l5+dLkvr27Rt2bvz48Y45KioqlJeXp7i4OCUmJmrKlCk6f/68Y8ymTZvUs2dPud1u3XXXXVqyZEmktwIAAJqwlpGe8IMPPtCFCxfs23v37tXAgQM1bNgw+9jYsWM1a9Ys+3ZcXJz9/YULF5SXlyePx6Nt27apsrJSo0aNUkxMjP77v/9bklReXq68vDyNHz9eS5cuVUlJiR5//HElJycrJycn0lu6qfHHOQEAuLyIl5zbb7/dcXvOnDnq1KmTvvvd79rH4uLi5PF4Lnv/4uJiffLJJ9qwYYOSkpJ03333afbs2Zo6daoKCwvlcrm0aNEipaena968eZKke+65R1u3btULL7zQ7EoOAAC4vIiXnEudO3dOb7zxhgoKChQVFWUfX7p0qd544w15PB4NHjxYzz77rP1qjt/vV0ZGhpKSkuzxOTk5mjBhgvbt26cePXrI7/drwIABjsfKycnRpEmTrrqe6upqVVdX27eDwaAkKRQKKRQK3eh2bTVzRXLOK3FHWzc8R+f/Wq29hfVbDhsyk6aAPMKRiRN5hCMTp+acx7XuuV5LzqpVq3T8+HH95Cc/sY+NGDFCaWlpSklJ0Z49ezR16lQdOHBAb731liQpEAg4Co4k+3YgELjqmGAwqC+//FKtWrW67HqKioo0c+bMsOPFxcWOt8wixefzRXzOr5vbOzLzrF27NjIT1aIhMmlKyCMcmTiRRzgycWqOeZw5c+aaxtVryfnDH/6g3NxcpaSk2MfGjRtnf5+RkaHk5GT1799fhw4dUqdOnepzOZo2bZoKCgrs28FgUKmpqcrOzlZ8fHzEHicUCsnn82ngwIGKiYmJ2LyX061wfUTmaYhXchoqk6aAPMKRiRN5hCMTp+acR807MbWpt5Lz97//XRs2bLBfobmSrKwsSdLBgwfVqVMneTwe7dy50zGmqqpKkuzreDwej33s0jHx8fFXfBVHktxut9xud9jxmJiYenmC1Ne8l6q+EFX7oGvQUD8gDZFJU0Ie4cjEiTzCkYlTc8zjWvdbb78n57XXXlNiYqLy8vKuOq6srEySlJycLEnyer36+OOPdeTIEXuMz+dTfHy8unbtao8pKSlxzOPz+eT1eiO4AwAA0JTVS8m5ePGiXnvtNY0ePVotW/7/F4sOHTqk2bNnq7S0VIcPH9Y777yjUaNGqU+fPsrMzJQkZWdnq2vXrvrxj3+sjz76SOvXr9f06dOVn59vvwozfvx4ffbZZ3rqqae0f/9+vfTSS3rzzTc1efLk+tgOAABoguql5GzYsEEVFRX66U9/6jjucrm0YcMGZWdnq0uXLnryySc1dOhQvfvuu/aY6OhorV69WtHR0fJ6vXr00Uc1atQox+/VSU9P15o1a+Tz+dS9e3fNmzdPr776Kh8fBwAAtnq5Jic7O1uWFf7R5tTUVG3evLnW+6elpdX6aZ++fftq9+7d171GAABgNv52FQAAMBIlBwAAGImSAwAAjETJAQAARqLkAAAAI9Xrn3VA/en49JrGXgIAADc1XskBAABGouQAAAAjUXIAAICRKDkAAMBIlBwAAGAkSg4AADASJQcAABiJkgMAAIxEyQEAAEai5AAAACNRcgAAgJEoOQAAwEiUHAAAYCRKDgAAMBIlBwAAGImSAwAAjETJaYI6Pr2msZcAAMBNj5IDAACMRMkBAABGouQAAAAjUXIAAICRKDkAAMBIlBwAAGAkSg4AADASJQcAABiJkgMAAIxEyQEAAEai5AAAACNRcgAAgJEoOQAAwEiUHAAAYCRKDgAAMFLES05hYaGioqIcX126dLHPnz17Vvn5+brtttt06623aujQoaqqqnLMUVFRoby8PMXFxSkxMVFTpkzR+fPnHWM2bdqknj17yu1266677tKSJUsivRUAANCE1csrOffee68qKyvtr61bt9rnJk+erHfffVcrV67U5s2b9fnnn+vhhx+2z1+4cEF5eXk6d+6ctm3bptdff11LlizRjBkz7DHl5eXKy8tTv379VFZWpkmTJunxxx/X+vXr62M7AACgCWpZL5O2bCmPxxN2/MSJE/rDH/6gZcuW6Xvf+54k6bXXXtM999yj7du361vf+paKi4v1ySefaMOGDUpKStJ9992n2bNna+rUqSosLJTL5dKiRYuUnp6uefPmSZLuuecebd26VS+88IJycnLqY0sAAKCJqZeS8+mnnyolJUWxsbHyer0qKipShw4dVFpaqlAopAEDBthju3Tpog4dOsjv9+tb3/qW/H6/MjIylJSUZI/JycnRhAkTtG/fPvXo0UN+v98xR82YSZMmXXVd1dXVqq6utm8Hg0FJUigUUigUisDOZc936T8jzR1tRXzO+lrr1+ev78dpKsgjHJk4kUc4MnFqznlc654jXnKysrK0ZMkSde7cWZWVlZo5c6YefPBB7d27V4FAQC6XS23btnXcJykpSYFAQJIUCAQcBafmfM25q40JBoP68ssv1apVq8uuraioSDNnzgw7XlxcrLi4uOva79X4fL6IzylJc3tHfs61a9dGftLLqK9MmiryCEcmTuQRjkycmmMeZ86cuaZxES85ubm59veZmZnKyspSWlqa3nzzzSuWj4Yybdo0FRQU2LeDwaBSU1OVnZ2t+Pj4iD1OKBSSz+fTwIEDFRMTE7F5a3QrjPy1R3sL6/dtvvrOpKkhj3Bk4kQe4cjEqTnnUfNOTG3q5e2qS7Vt21bf+MY3dPDgQQ0cOFDnzp3T8ePHHa/mVFVV2dfweDwe7dy50zFHzaevLh3z9U9kVVVVKT4+/qpFyu12y+12hx2PiYmplydIfc1bfSEq4nM21A9IfWXSVJFHODJxIo9wZOLUHPO41v3W++/JOXXqlA4dOqTk5GT16tVLMTExKikpsc8fOHBAFRUV8nq9kiSv16uPP/5YR44cscf4fD7Fx8era9eu9phL56gZUzMHAABAxEvOL3/5S23evFmHDx/Wtm3b9MMf/lDR0dEaPny42rRpozFjxqigoEDvvfeeSktL9dhjj8nr9epb3/qWJCk7O1tdu3bVj3/8Y3300Udav369pk+frvz8fPtVmPHjx+uzzz7TU089pf379+ull17Sm2++qcmTJ0d6OwAAoImK+NtV//znPzV8+HAdPXpUt99+u77zne9o+/btuv322yVJL7zwglq0aKGhQ4equrpaOTk5eumll+z7R0dHa/Xq1ZowYYK8Xq9uueUWjR49WrNmzbLHpKena82aNZo8ebIWLFigO+64Q6+++mqz+Ph4x6fXNPYSAABoEiJecpYvX37V87GxsVq4cKEWLlx4xTFpaWm1ftqnb9++2r1793WtEQAAmI+/XQUAAIxEyQEAAEai5AAAACNRcgAAgJEoOQAAwEiUHAAAYCRKDgAAMBIlBwAAGImSA0n8JmUAgHkoOQAAwEiUHAAAYCRKDgAAMBIlBwAAGImSAwAAjETJAQAARqLkAAAAI1FyAACAkSg5AADASJQcAABgJEoOAAAwEiUHAAAYiZIDAACMRMkBAABGouQAAAAjUXIAAICRKDkAAMBIlBwAAGAkSg4AADASJQcAABiJkgMAAIxEyQEAAEai5AAAACNRcgAAgJEoOQAAwEiUHAAAYCRKThPS8ek1jb0EAACaDEoOAAAwEiUHAAAYKeIlp6ioSN/85jfVunVrJSYmasiQITpw4IBjTN++fRUVFeX4Gj9+vGNMRUWF8vLyFBcXp8TERE2ZMkXnz593jNm0aZN69uwpt9utu+66S0uWLIn0dgAAQBMV8ZKzefNm5efna/v27fL5fAqFQsrOztbp06cd48aOHavKykr7a+7cufa5CxcuKC8vT+fOndO2bdv0+uuva8mSJZoxY4Y9pry8XHl5eerXr5/Kyso0adIkPf7441q/fn2ktwQAAJqglpGecN26dY7bS5YsUWJiokpLS9WnTx/7eFxcnDwez2XnKC4u1ieffKINGzYoKSlJ9913n2bPnq2pU6eqsLBQLpdLixYtUnp6uubNmydJuueee7R161a98MILysnJifS2AABAExPxkvN1J06ckCS1a9fOcXzp0qV644035PF4NHjwYD377LOKi4uTJPn9fmVkZCgpKcken5OTowkTJmjfvn3q0aOH/H6/BgwY4JgzJydHkyZNuuJaqqurVV1dbd8OBoOSpFAopFAodEP7vFTNXJGcs1vhermjIzbdZUVyvVeauz4foykhj3Bk4kQe4cjEqTnnca17rteSc/HiRU2aNEnf/va31a1bN/v4iBEjlJaWppSUFO3Zs0dTp07VgQMH9NZbb0mSAoGAo+BIsm8HAoGrjgkGg/ryyy/VqlWrsPUUFRVp5syZYceLi4vtghVJPp8vYnPN7R2xqa5o7dq19f4YkczEBOQRjkycyCMcmTg1xzzOnDlzTePqteTk5+dr79692rp1q+P4uHHj7O8zMjKUnJys/v3769ChQ+rUqVO9rWfatGkqKCiwbweDQaWmpio7O1vx8fERe5xQKCSfz6eBAwcqJiYmInN2K6z/a432Ftbf23z1kUlTRh7hyMSJPMKRiVNzzqPmnZja1FvJmThxolavXq0tW7bojjvuuOrYrKwsSdLBgwfVqVMneTwe7dy50zGmqqpKkuzreDwej33s0jHx8fGXfRVHktxut9xud9jxmJiYenmCRHLe6gtREZnnahrih6S+sm6qyCMcmTiRRzgycWqOeVzrfiP+6SrLsjRx4kS9/fbb2rhxo9LT02u9T1lZmSQpOTlZkuT1evXxxx/ryJEj9hifz6f4+Hh17drVHlNSUuKYx+fzyev1RmgnAACgKYt4ycnPz9cbb7yhZcuWqXXr1goEAgoEAvryyy8lSYcOHdLs2bNVWlqqw4cP65133tGoUaPUp08fZWZmSpKys7PVtWtX/fjHP9ZHH32k9evXa/r06crPz7dfiRk/frw+++wzPfXUU9q/f79eeuklvfnmm5o8eXKktwQAAJqgiJecl19+WSdOnFDfvn2VnJxsf61YsUKS5HK5tGHDBmVnZ6tLly568sknNXToUL377rv2HNHR0Vq9erWio6Pl9Xr16KOPatSoUZo1a5Y9Jj09XWvWrJHP51P37t01b948vfrqq3x8HAAASKqHa3Isy7rq+dTUVG3evLnWedLS0mr9tE/fvn21e/fuOq0PAAA0D/ztKgAAYCRKDgAAMBIlBwAAGImSAwAAjETJAQAARqLkAAAAI1FyAACAkSg5AADASJQcAABgJEoOAAAwEiUHAAAYiZLTBHR8ek1jLwEAgCaHkgMAAIxEyQEAAEai5AAAACNRcgAAgJEoObBxgTMAwCSUHAAAYCRKDgAAMBIlBwAAGImSAwAAjETJAQAARqLk3OT4xBMAANeHknMTo+AAAHD9KDlwoFgBAExByUEYig4AwASUHAAAYCRKDgAAMBIlB1fE21YAgKaMkoPLouAAAJo6Sg6uGcUHANCUUHJQZ5QdAEBTQMnBNaHYAACaGkoOAAAwEiUHV/X1V3B4RQcA0FRQclArig0AoCmi5NykKBYAANwYSg4AADBSky85CxcuVMeOHRUbG6usrCzt3LmzsZd0Qzo+vYZXcQAAiIAmXXJWrFihgoICPffcc/rwww/VvXt35eTk6MiRI429NONRxgAAN7smXXLmz5+vsWPH6rHHHlPXrl21aNEixcXFafHixY29tOtCaQAAIHJaNvYCrte5c+dUWlqqadOm2cdatGihAQMGyO/3X/Y+1dXVqq6utm+fOHFCknTs2DGFQqGIrS0UCunMmTM6evSoYmJiruk+WUUlTfJ/jKNHj17TuOvJxGTkEY5MnMgjHJk4Nec8Tp48KUmyLOuq45riv1clSf/617904cIFJSUlOY4nJSVp//79l71PUVGRZs6cGXY8PT29XtbYHLSf19grAAA0VydPnlSbNm2ueL7JlpzrMW3aNBUUFNi3L168qGPHjum2225TVFRUxB4nGAwqNTVV//jHPxQfHx+xeZsyMnEij3Bk4kQe4cjEqTnnYVmWTp48qZSUlKuOa7Ilp3379oqOjlZVVZXjeFVVlTwez2Xv43a75Xa7Hcfatm1bX0tUfHx8s3vi1YZMnMgjHJk4kUc4MnFqrnlc7RWcGk32wmOXy6VevXqppKTEPnbx4kWVlJTI6/U24soAAMDNoMm+kiNJBQUFGj16tO6//3717t1bv/3tb3X69Gk99thjjb00AADQyJp0yfnRj36k//u//9OMGTMUCAR03333ad26dWEXIzc0t9ut5557LuytseaMTJzIIxyZOJFHODJxIo/aRVm1ff4KAACgCWqy1+QAAABcDSUHAAAYiZIDAACMRMkBAABGouTUg4ULF6pjx46KjY1VVlaWdu7c2dhLahCFhYWKiopyfHXp0sU+f/bsWeXn5+u2227TrbfeqqFDh4b9MsembsuWLRo8eLBSUlIUFRWlVatWOc5blqUZM2YoOTlZrVq10oABA/Tpp586xhw7dkwjR45UfHy82rZtqzFjxujUqVMNuIvIqS2Pn/zkJ2HPmUGDBjnGmJRHUVGRvvnNb6p169ZKTEzUkCFDdODAAceYa/k5qaioUF5enuLi4pSYmKgpU6bo/PnzDbmViLmWTPr27Rv2PBk/frxjjCmZvPzyy8rMzLR/wZ/X69Vf/vIX+3xze37cKEpOhK1YsUIFBQV67rnn9OGHH6p79+7KycnRkSNHGntpDeLee+9VZWWl/bV161b73OTJk/Xuu+9q5cqV2rx5sz7//HM9/PDDjbjayDt9+rS6d++uhQsXXvb83Llz9bvf/U6LFi3Sjh07dMsttygnJ0dnz561x4wcOVL79u2Tz+fT6tWrtWXLFo0bN66hthBRteUhSYMGDXI8Z/74xz86zpuUx+bNm5Wfn6/t27fL5/MpFAopOztbp0+ftsfU9nNy4cIF5eXl6dy5c9q2bZtef/11LVmyRDNmzGiMLd2wa8lEksaOHet4nsydO9c+Z1Imd9xxh+bMmaPS0lLt2rVL3/ve9/TQQw9p3759kprf8+OGWYio3r17W/n5+fbtCxcuWCkpKVZRUVEjrqphPPfcc1b37t0ve+748eNWTEyMtXLlSvvY3/72N0uS5ff7G2iFDUuS9fbbb9u3L168aHk8Huv555+3jx0/ftxyu93WH//4R8uyLOuTTz6xJFkffPCBPeYvf/mLFRUVZf3v//5vg629Pnw9D8uyrNGjR1sPPfTQFe9jch6WZVlHjhyxJFmbN2+2LOvafk7Wrl1rtWjRwgoEAvaYl19+2YqPj7eqq6sbdgP14OuZWJZlffe737WeeOKJK97H9EwSEhKsV199lefHdeCVnAg6d+6cSktLNWDAAPtYixYtNGDAAPn9/kZcWcP59NNPlZKSojvvvFMjR45URUWFJKm0tFShUMiRTZcuXdShQ4dmk015ebkCgYAjgzZt2igrK8vOwO/3q23btrr//vvtMQMGDFCLFi20Y8eOBl9zQ9i0aZMSExPVuXNnTZgwQUePHrXPmZ7HiRMnJEnt2rWTdG0/J36/XxkZGY5fepqTk6NgMGj/135T9vVMaixdulTt27dXt27dNG3aNJ05c8Y+Z2omFy5c0PLly3X69Gl5vV6eH9ehSf/G45vNv/71L124cCHsNy4nJSVp//79jbSqhpOVlaUlS5aoc+fOqqys1MyZM/Xggw9q7969CgQCcrlcYX8QNSkpSYFAoHEW3MBq9nm550fNuUAgoMTERMf5li1bql27dkbmNGjQID388MNKT0/XoUOH9Mwzzyg3N1d+v1/R0dFG53Hx4kVNmjRJ3/72t9WtWzdJuqafk0AgcNnnUM25puxymUjSiBEjlJaWppSUFO3Zs0dTp07VgQMH9NZbb0kyL5OPP/5YXq9XZ8+e1a233qq3335bXbt2VVlZWbN+flwPSg4iJjc31/4+MzNTWVlZSktL05tvvqlWrVo14spws3rkkUfs7zMyMpSZmalOnTpp06ZN6t+/fyOurP7l5+dr7969juvWmrsrZXLpNVgZGRlKTk5W//79dejQIXXq1Kmhl1nvOnfurLKyMp04cUJ/+tOfNHr0aG3evLmxl9Uk8XZVBLVv317R0dFhV7pXVVXJ4/E00qoaT9u2bfWNb3xDBw8elMfj0blz53T8+HHHmOaUTc0+r/b88Hg8YRepnz9/XseOHWsWOd15551q3769Dh48KMncPCZOnKjVq1frvffe0x133GEfv5afE4/Hc9nnUM25pupKmVxOVlaWJDmeJyZl4nK5dNddd6lXr14qKipS9+7dtWDBgmb9/LhelJwIcrlc6tWrl0pKSuxjFy9eVElJibxebyOurHGcOnVKhw4dUnJysnr16qWYmBhHNgcOHFBFRUWzySY9PV0ej8eRQTAY1I4dO+wMvF6vjh8/rtLSUnvMxo0bdfHiRfv/2E32z3/+U0ePHlVycrIk8/KwLEsTJ07U22+/rY0bNyo9Pd1x/lp+Trxerz7++GNH+fP5fIqPj1fXrl0bZiMRVFsml1NWViZJjueJSZl83cWLF1VdXd0snx83rLGvfDbN8uXLLbfbbS1ZssT65JNPrHHjxllt27Z1XOluqieffNLatGmTVV5ebv31r3+1BgwYYLVv3946cuSIZVmWNX78eKtDhw7Wxo0brV27dller9fyer2NvOrIOnnypLV7925r9+7dliRr/vz51u7du62///3vlmVZ1pw5c6y2bdtaf/7zn609e/ZYDz30kJWenm59+eWX9hyDBg2yevToYe3YscPaunWrdffdd1vDhw9vrC3dkKvlcfLkSeuXv/yl5ff7rfLycmvDhg1Wz549rbvvvts6e/asPYdJeUyYMMFq06aNtWnTJquystL+OnPmjD2mtp+T8+fPW926dbOys7OtsrIya926ddbtt99uTZs2rTG2dMNqy+TgwYPWrFmzrF27dlnl5eXWn//8Z+vOO++0+vTpY89hUiZPP/20tXnzZqu8vNzas2eP9fTTT1tRUVFWcXGxZVnN7/lxoyg59eD3v/+91aFDB8vlclm9e/e2tm/f3thLahA/+tGPrOTkZMvlcln/9m//Zv3oRz+yDh48aJ//8ssvrf/8z/+0EhISrLi4OOuHP/yhVVlZ2Ygrjrz33nvPkhT2NXr0aMuyvvoY+bPPPmslJSVZbrfb6t+/v3XgwAHHHEePHrWGDx9u3XrrrVZ8fLz12GOPWSdPnmyE3dy4q+Vx5swZKzs727r99tutmJgYKy0tzRo7dmzYfxCYlMflspBkvfbaa/aYa/k5OXz4sJWbm2u1atXKat++vfXkk09aoVCogXcTGbVlUlFRYfXp08dq166d5Xa7rbvuusuaMmWKdeLECcc8pmTy05/+1EpLS7NcLpd1++23W/3797cLjmU1v+fHjYqyLMtquNeNAAAAGgbX5AAAACNRcgAAgJEoOQAAwEiUHAAAYCRKDgAAMBIlBwAAGImSAwAAjETJAQAARqLkAAAAI1FyAACAkSg5AADASJQcAABgpP8H8HNLCKfL/WwAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2392,10 +2392,10 @@
    "execution_count": 33,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:28.000135Z",
-     "iopub.status.busy": "2024-09-05T03:53:27.999828Z",
-     "iopub.status.idle": "2024-09-05T03:53:28.286513Z",
-     "shell.execute_reply": "2024-09-05T03:53:28.285952Z"
+     "iopub.execute_input": "2024-11-05T03:38:33.688192Z",
+     "iopub.status.busy": "2024-11-05T03:38:33.688004Z",
+     "iopub.status.idle": "2024-11-05T03:38:33.973507Z",
+     "shell.execute_reply": "2024-11-05T03:38:33.972949Z"
     }
    },
    "outputs": [
@@ -2484,7 +2484,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465632</th>\n",
+       "      <th>1469152</th>\n",
        "      <td>USGS-273217082335701</td>\n",
        "      <td>28.9</td>\n",
        "      <td>deg C</td>\n",
@@ -2493,7 +2493,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465635</th>\n",
+       "      <th>1469155</th>\n",
        "      <td>USGS-274322082245501</td>\n",
        "      <td>24.4</td>\n",
        "      <td>deg C</td>\n",
@@ -2502,7 +2502,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465640</th>\n",
+       "      <th>1469160</th>\n",
        "      <td>USGS-274302082280801</td>\n",
        "      <td>25.0</td>\n",
        "      <td>deg C</td>\n",
@@ -2511,7 +2511,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465643</th>\n",
+       "      <th>1469163</th>\n",
        "      <td>USGS-273926082304501</td>\n",
        "      <td>25.7</td>\n",
        "      <td>deg C</td>\n",
@@ -2520,7 +2520,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465646</th>\n",
+       "      <th>1469166</th>\n",
        "      <td>USGS-274455082253601</td>\n",
        "      <td>26.1</td>\n",
        "      <td>deg C</td>\n",
@@ -2530,7 +2530,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>300215 rows × 6 columns</p>\n",
+       "<p>300736 rows × 6 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -2541,11 +2541,11 @@
        "27                   21FLTBW_WQX-NAB              30.67   \n",
        "28                  21FLTBW_WQX-DISM               26.5   \n",
        "...                              ...                ...   \n",
-       "1465632         USGS-273217082335701               28.9   \n",
-       "1465635         USGS-274322082245501               24.4   \n",
-       "1465640         USGS-274302082280801               25.0   \n",
-       "1465643         USGS-273926082304501               25.7   \n",
-       "1465646         USGS-274455082253601               26.1   \n",
+       "1469152         USGS-273217082335701               28.9   \n",
+       "1469155         USGS-274322082245501               24.4   \n",
+       "1469160         USGS-274302082280801               25.0   \n",
+       "1469163         USGS-273926082304501               25.7   \n",
+       "1469166         USGS-274455082253601               26.1   \n",
        "\n",
        "        ResultMeasure/MeasureUnitCode QA_flag           Temperature Units  \n",
        "2                               deg C     NaN  28.19 degree_Celsius  degC  \n",
@@ -2554,13 +2554,13 @@
        "27                              deg C     NaN  30.67 degree_Celsius  degC  \n",
        "28                              deg C     NaN   26.5 degree_Celsius  degC  \n",
        "...                               ...     ...                   ...   ...  \n",
-       "1465632                         deg C     NaN   28.9 degree_Celsius  degC  \n",
-       "1465635                         deg C     NaN   24.4 degree_Celsius  degC  \n",
-       "1465640                         deg C     NaN   25.0 degree_Celsius  degC  \n",
-       "1465643                         deg C     NaN   25.7 degree_Celsius  degC  \n",
-       "1465646                         deg C     NaN   26.1 degree_Celsius  degC  \n",
+       "1469152                         deg C     NaN   28.9 degree_Celsius  degC  \n",
+       "1469155                         deg C     NaN   24.4 degree_Celsius  degC  \n",
+       "1469160                         deg C     NaN   25.0 degree_Celsius  degC  \n",
+       "1469163                         deg C     NaN   25.7 degree_Celsius  degC  \n",
+       "1469166                         deg C     NaN   26.1 degree_Celsius  degC  \n",
        "\n",
-       "[300215 rows x 6 columns]"
+       "[300736 rows x 6 columns]"
       ]
      },
      "execution_count": 33,
@@ -2587,10 +2587,10 @@
    "execution_count": 34,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:28.288739Z",
-     "iopub.status.busy": "2024-09-05T03:53:28.288422Z",
-     "iopub.status.idle": "2024-09-05T03:53:28.340673Z",
-     "shell.execute_reply": "2024-09-05T03:53:28.340101Z"
+     "iopub.execute_input": "2024-11-05T03:38:33.975476Z",
+     "iopub.status.busy": "2024-11-05T03:38:33.975140Z",
+     "iopub.status.idle": "2024-11-05T03:38:34.026989Z",
+     "shell.execute_reply": "2024-11-05T03:38:34.026535Z"
     }
    },
    "outputs": [
@@ -2679,7 +2679,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>892842</th>\n",
+       "      <th>892846</th>\n",
        "      <td>21FLPDEM_WQX-35-01</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -2688,7 +2688,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>896988</th>\n",
+       "      <th>896993</th>\n",
        "      <td>21FLPDEM_WQX-23-08</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>NaN</td>\n",
@@ -2697,7 +2697,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1349634</th>\n",
+       "      <th>1359861</th>\n",
        "      <td>USGS-280228082343000</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -2706,7 +2706,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1434517</th>\n",
+       "      <th>1440577</th>\n",
        "      <td>USGS-02306028</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -2715,7 +2715,7 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1434800</th>\n",
+       "      <th>1440860</th>\n",
        "      <td>USGS-02306028</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -2736,11 +2736,11 @@
        "673026            21FLPDEM_WQX-23-08       Not Reported   \n",
        "679058            21FLPDEM_WQX-04-04       Not Reported   \n",
        "...                              ...                ...   \n",
-       "892842            21FLPDEM_WQX-35-01       Not Reported   \n",
-       "896988            21FLPDEM_WQX-23-08       Not Reported   \n",
-       "1349634         USGS-280228082343000                NaN   \n",
-       "1434517                USGS-02306028                NaN   \n",
-       "1434800                USGS-02306028                NaN   \n",
+       "892846            21FLPDEM_WQX-35-01       Not Reported   \n",
+       "896993            21FLPDEM_WQX-23-08       Not Reported   \n",
+       "1359861         USGS-280228082343000                NaN   \n",
+       "1440577                USGS-02306028                NaN   \n",
+       "1440860                USGS-02306028                NaN   \n",
        "\n",
        "        ResultMeasure/MeasureUnitCode  \\\n",
        "665577                            NaN   \n",
@@ -2749,11 +2749,11 @@
        "673026                            NaN   \n",
        "679058                            NaN   \n",
        "...                               ...   \n",
-       "892842                            NaN   \n",
-       "896988                            NaN   \n",
-       "1349634                           NaN   \n",
-       "1434517                           NaN   \n",
-       "1434800                           NaN   \n",
+       "892846                            NaN   \n",
+       "896993                            NaN   \n",
+       "1359861                           NaN   \n",
+       "1440577                           NaN   \n",
+       "1440860                           NaN   \n",
        "\n",
        "                                                   QA_flag Temperature Units  \n",
        "665577   ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
@@ -2762,11 +2762,11 @@
        "673026   ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
        "679058   ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
        "...                                                    ...         ...   ...  \n",
-       "892842   ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
-       "896988   ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
-       "1349634  ResultMeasureValue: missing (NaN) result; Resu...         NaN  degC  \n",
-       "1434517  ResultMeasureValue: missing (NaN) result; Resu...         NaN  degC  \n",
-       "1434800  ResultMeasureValue: missing (NaN) result; Resu...         NaN  degC  \n",
+       "892846   ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
+       "896993   ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
+       "1359861  ResultMeasureValue: missing (NaN) result; Resu...         NaN  degC  \n",
+       "1440577  ResultMeasureValue: missing (NaN) result; Resu...         NaN  degC  \n",
+       "1440860  ResultMeasureValue: missing (NaN) result; Resu...         NaN  degC  \n",
        "\n",
        "[87 rows x 6 columns]"
       ]
@@ -2793,10 +2793,10 @@
    "execution_count": 35,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:28.343020Z",
-     "iopub.status.busy": "2024-09-05T03:53:28.342678Z",
-     "iopub.status.idle": "2024-09-05T03:53:28.390368Z",
-     "shell.execute_reply": "2024-09-05T03:53:28.389902Z"
+     "iopub.execute_input": "2024-11-05T03:38:34.028882Z",
+     "iopub.status.busy": "2024-11-05T03:38:34.028552Z",
+     "iopub.status.idle": "2024-11-05T03:38:34.076669Z",
+     "shell.execute_reply": "2024-11-05T03:38:34.076199Z"
     }
    },
    "outputs": [
@@ -2821,10 +2821,10 @@
    "execution_count": 36,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:28.392530Z",
-     "iopub.status.busy": "2024-09-05T03:53:28.392205Z",
-     "iopub.status.idle": "2024-09-05T03:53:28.451328Z",
-     "shell.execute_reply": "2024-09-05T03:53:28.450758Z"
+     "iopub.execute_input": "2024-11-05T03:38:34.078447Z",
+     "iopub.status.busy": "2024-11-05T03:38:34.078112Z",
+     "iopub.status.idle": "2024-11-05T03:38:34.130789Z",
+     "shell.execute_reply": "2024-11-05T03:38:34.130315Z"
     }
    },
    "outputs": [
@@ -2913,8 +2913,8 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460117</th>\n",
-       "      <td>21FLPDEM_WQX-06-06</td>\n",
+       "      <th>1435881</th>\n",
+       "      <td>21FLPDEM_WQX-W7-D-23-08</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>deg C</td>\n",
        "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
@@ -2922,8 +2922,8 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460141</th>\n",
-       "      <td>21FLPDEM_WQX-12-02</td>\n",
+       "      <th>1436000</th>\n",
+       "      <td>21FLPDEM_WQX-12-06</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>deg C</td>\n",
        "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
@@ -2931,8 +2931,8 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460148</th>\n",
-       "      <td>21FLPDEM_WQX-W7-D-23-08</td>\n",
+       "      <th>1436326</th>\n",
+       "      <td>21FLPDEM_WQX-22-12</td>\n",
        "      <td>Not Reported</td>\n",
        "      <td>deg C</td>\n",
        "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
@@ -2940,20 +2940,20 @@
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460229</th>\n",
-       "      <td>21FLPDEM_WQX-12-06</td>\n",
-       "      <td>Not Reported</td>\n",
-       "      <td>deg C</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <th>1440577</th>\n",
+       "      <td>USGS-02306028</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>degC</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460439</th>\n",
-       "      <td>21FLPDEM_WQX-22-12</td>\n",
-       "      <td>Not Reported</td>\n",
-       "      <td>deg C</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <th>1440860</th>\n",
+       "      <td>USGS-02306028</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result; Resu...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>degC</td>\n",
        "    </tr>\n",
@@ -2970,11 +2970,11 @@
        "673026            21FLPDEM_WQX-23-08       Not Reported   \n",
        "679058            21FLPDEM_WQX-04-04       Not Reported   \n",
        "...                              ...                ...   \n",
-       "1460117           21FLPDEM_WQX-06-06       Not Reported   \n",
-       "1460141           21FLPDEM_WQX-12-02       Not Reported   \n",
-       "1460148      21FLPDEM_WQX-W7-D-23-08       Not Reported   \n",
-       "1460229           21FLPDEM_WQX-12-06       Not Reported   \n",
-       "1460439           21FLPDEM_WQX-22-12       Not Reported   \n",
+       "1435881      21FLPDEM_WQX-W7-D-23-08       Not Reported   \n",
+       "1436000           21FLPDEM_WQX-12-06       Not Reported   \n",
+       "1436326           21FLPDEM_WQX-22-12       Not Reported   \n",
+       "1440577                USGS-02306028                NaN   \n",
+       "1440860                USGS-02306028                NaN   \n",
        "\n",
        "        ResultMeasure/MeasureUnitCode  \\\n",
        "665577                            NaN   \n",
@@ -2983,11 +2983,11 @@
        "673026                            NaN   \n",
        "679058                            NaN   \n",
        "...                               ...   \n",
-       "1460117                         deg C   \n",
-       "1460141                         deg C   \n",
-       "1460148                         deg C   \n",
-       "1460229                         deg C   \n",
-       "1460439                         deg C   \n",
+       "1435881                         deg C   \n",
+       "1436000                         deg C   \n",
+       "1436326                         deg C   \n",
+       "1440577                           NaN   \n",
+       "1440860                           NaN   \n",
        "\n",
        "                                                   QA_flag Temperature Units  \n",
        "665577   ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
@@ -2996,11 +2996,11 @@
        "673026   ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
        "679058   ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
        "...                                                    ...         ...   ...  \n",
-       "1460117  ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
-       "1460141  ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
-       "1460148  ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
-       "1460229  ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
-       "1460439  ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
+       "1435881  ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
+       "1436000  ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
+       "1436326  ResultMeasureValue: \"Not Reported\" result cann...         NaN  degC  \n",
+       "1440577  ResultMeasureValue: missing (NaN) result; Resu...         NaN  degC  \n",
+       "1440860  ResultMeasureValue: missing (NaN) result; Resu...         NaN  degC  \n",
        "\n",
        "[153 rows x 6 columns]"
       ]
@@ -3020,10 +3020,10 @@
    "execution_count": 37,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:28.453516Z",
-     "iopub.status.busy": "2024-09-05T03:53:28.453167Z",
-     "iopub.status.idle": "2024-09-05T03:53:28.646394Z",
-     "shell.execute_reply": "2024-09-05T03:53:28.645839Z"
+     "iopub.execute_input": "2024-11-05T03:38:34.132407Z",
+     "iopub.status.busy": "2024-11-05T03:38:34.132237Z",
+     "iopub.status.idle": "2024-11-05T03:38:34.319517Z",
+     "shell.execute_reply": "2024-11-05T03:38:34.319007Z"
     }
    },
    "outputs": [
@@ -3091,38 +3091,38 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14839</th>\n",
+       "      <th>14921</th>\n",
        "      <td>USGS-280726082313300</td>\n",
        "      <td>4</td>\n",
        "      <td>28.025000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14840</th>\n",
+       "      <th>14922</th>\n",
        "      <td>USGS-280728082301101</td>\n",
        "      <td>54</td>\n",
        "      <td>25.083333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14841</th>\n",
+       "      <th>14923</th>\n",
        "      <td>USGS-280729082313501</td>\n",
        "      <td>1</td>\n",
        "      <td>27.400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14842</th>\n",
+       "      <th>14924</th>\n",
        "      <td>USGS-280730082313201</td>\n",
        "      <td>1</td>\n",
        "      <td>24.700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14843</th>\n",
+       "      <th>14925</th>\n",
        "      <td>USGS-280730082431800</td>\n",
        "      <td>11</td>\n",
        "      <td>22.018182</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>14844 rows × 3 columns</p>\n",
+       "<p>14926 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -3133,13 +3133,13 @@
        "3                  21FLBRA-1541B-A    6  26.743333\n",
        "4                   21FLBRA-1574-A    5  27.890000\n",
        "...                            ...  ...        ...\n",
-       "14839         USGS-280726082313300    4  28.025000\n",
-       "14840         USGS-280728082301101   54  25.083333\n",
-       "14841         USGS-280729082313501    1  27.400000\n",
-       "14842         USGS-280730082313201    1  24.700000\n",
-       "14843         USGS-280730082431800   11  22.018182\n",
+       "14921         USGS-280726082313300    4  28.025000\n",
+       "14922         USGS-280728082301101   54  25.083333\n",
+       "14923         USGS-280729082313501    1  27.400000\n",
+       "14924         USGS-280730082313201    1  24.700000\n",
+       "14925         USGS-280730082431800   11  22.018182\n",
        "\n",
-       "[14844 rows x 3 columns]"
+       "[14926 rows x 3 columns]"
       ]
      },
      "execution_count": 37,
@@ -3157,10 +3157,10 @@
    "execution_count": 38,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:28.648685Z",
-     "iopub.status.busy": "2024-09-05T03:53:28.648344Z",
-     "iopub.status.idle": "2024-09-05T03:53:29.487554Z",
-     "shell.execute_reply": "2024-09-05T03:53:29.487011Z"
+     "iopub.execute_input": "2024-11-05T03:38:34.321168Z",
+     "iopub.status.busy": "2024-11-05T03:38:34.321002Z",
+     "iopub.status.idle": "2024-11-05T03:38:35.027352Z",
+     "shell.execute_reply": "2024-11-05T03:38:35.026766Z"
     }
    },
    "outputs": [
@@ -3168,7 +3168,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n",
       "  self.bins = quantile(y, k=k)\n"
      ]
     },
@@ -3184,7 +3184,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3204,10 +3204,10 @@
    "execution_count": 39,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:29.489673Z",
-     "iopub.status.busy": "2024-09-05T03:53:29.489497Z",
-     "iopub.status.idle": "2024-09-05T03:53:30.372370Z",
-     "shell.execute_reply": "2024-09-05T03:53:30.371806Z"
+     "iopub.execute_input": "2024-11-05T03:38:35.029262Z",
+     "iopub.status.busy": "2024-11-05T03:38:35.028927Z",
+     "iopub.status.idle": "2024-11-05T03:38:35.916388Z",
+     "shell.execute_reply": "2024-11-05T03:38:35.915824Z"
     }
    },
    "outputs": [
@@ -3223,7 +3223,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -3250,10 +3250,10 @@
    "execution_count": 40,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:53:30.374489Z",
-     "iopub.status.busy": "2024-09-05T03:53:30.374318Z",
-     "iopub.status.idle": "2024-09-05T03:54:01.194822Z",
-     "shell.execute_reply": "2024-09-05T03:54:01.194264Z"
+     "iopub.execute_input": "2024-11-05T03:38:35.918352Z",
+     "iopub.status.busy": "2024-11-05T03:38:35.918007Z",
+     "iopub.status.idle": "2024-11-05T03:39:06.795590Z",
+     "shell.execute_reply": "2024-11-05T03:39:06.795028Z"
     }
    },
    "outputs": [],
@@ -3274,10 +3274,10 @@
    "execution_count": 41,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:01.197220Z",
-     "iopub.status.busy": "2024-09-05T03:54:01.197047Z",
-     "iopub.status.idle": "2024-09-05T03:54:02.422105Z",
-     "shell.execute_reply": "2024-09-05T03:54:02.421561Z"
+     "iopub.execute_input": "2024-11-05T03:39:06.797764Z",
+     "iopub.status.busy": "2024-11-05T03:39:06.797420Z",
+     "iopub.status.idle": "2024-11-05T03:39:08.201998Z",
+     "shell.execute_reply": "2024-11-05T03:39:08.201522Z"
     }
    },
    "outputs": [
@@ -3359,63 +3359,63 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465348</th>\n",
-       "      <td>21FLBSG-4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>mg/l</td>\n",
+       "      <th>1468847</th>\n",
+       "      <td>21FLHESD_WQX-BEAUDETTE POND OUTLET</td>\n",
+       "      <td>8.4</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>4.0 milligram / liter</td>\n",
+       "      <td>8.4 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465349</th>\n",
-       "      <td>21FLBSG-4</td>\n",
-       "      <td>7.2</td>\n",
-       "      <td>mg/l</td>\n",
+       "      <th>1468849</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0126</td>\n",
+       "      <td>10.15</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.2 milligram / liter</td>\n",
+       "      <td>10.15 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465350</th>\n",
-       "      <td>21FLBSG-4</td>\n",
-       "      <td>7.4</td>\n",
-       "      <td>mg/l</td>\n",
+       "      <th>1468853</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0071</td>\n",
+       "      <td>8.48</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.4 milligram / liter</td>\n",
+       "      <td>8.48 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465351</th>\n",
-       "      <td>21FLBSG-4</td>\n",
-       "      <td>7.9</td>\n",
-       "      <td>mg/l</td>\n",
+       "      <th>1468924</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0156</td>\n",
+       "      <td>3.38</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.9 milligram / liter</td>\n",
+       "      <td>3.38 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465352</th>\n",
-       "      <td>21FLBSG-4</td>\n",
-       "      <td>8.9</td>\n",
-       "      <td>mg/l</td>\n",
+       "      <th>1468934</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0155</td>\n",
+       "      <td>2.09</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>8.9 milligram / liter</td>\n",
+       "      <td>2.09 milligram / liter</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>269613 rows × 5 columns</p>\n",
+       "<p>270134 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "        MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "0                   21FLHILL_WQX-585               9.32   \n",
-       "9                  21FLHILL_WQX-1611               4.90   \n",
-       "11                 21FLHILL_WQX-1606               2.56   \n",
-       "14                21FLPDEM_WQX-24-01               68.7   \n",
-       "19                  21FLTBW_WQX-DISN               6.36   \n",
-       "...                              ...                ...   \n",
-       "1465348                    21FLBSG-4                  4   \n",
-       "1465349                    21FLBSG-4                7.2   \n",
-       "1465350                    21FLBSG-4                7.4   \n",
-       "1465351                    21FLBSG-4                7.9   \n",
-       "1465352                    21FLBSG-4                8.9   \n",
+       "               MonitoringLocationIdentifier ResultMeasureValue  \\\n",
+       "0                          21FLHILL_WQX-585               9.32   \n",
+       "9                         21FLHILL_WQX-1611               4.90   \n",
+       "11                        21FLHILL_WQX-1606               2.56   \n",
+       "14                       21FLPDEM_WQX-24-01               68.7   \n",
+       "19                         21FLTBW_WQX-DISN               6.36   \n",
+       "...                                     ...                ...   \n",
+       "1468847  21FLHESD_WQX-BEAUDETTE POND OUTLET                8.4   \n",
+       "1468849                21FLTPA_WQX-G1SW0126              10.15   \n",
+       "1468853                21FLTPA_WQX-G1SW0071               8.48   \n",
+       "1468924                21FLTPA_WQX-G1SW0156               3.38   \n",
+       "1468934                21FLTPA_WQX-G1SW0155               2.09   \n",
        "\n",
        "        ResultMeasure/MeasureUnitCode QA_flag  \\\n",
        "0                                mg/L     NaN   \n",
@@ -3424,11 +3424,11 @@
        "14                                  %     NaN   \n",
        "19                               mg/L     NaN   \n",
        "...                               ...     ...   \n",
-       "1465348                          mg/l     NaN   \n",
-       "1465349                          mg/l     NaN   \n",
-       "1465350                          mg/l     NaN   \n",
-       "1465351                          mg/l     NaN   \n",
-       "1465352                          mg/l     NaN   \n",
+       "1468847                          mg/L     NaN   \n",
+       "1468849                          mg/L     NaN   \n",
+       "1468853                          mg/L     NaN   \n",
+       "1468924                          mg/L     NaN   \n",
+       "1468934                          mg/L     NaN   \n",
        "\n",
        "                                         DO  \n",
        "0                    9.32 milligram / liter  \n",
@@ -3437,13 +3437,13 @@
        "14       0.05676222371166 milligram / liter  \n",
        "19                   6.36 milligram / liter  \n",
        "...                                     ...  \n",
-       "1465348               4.0 milligram / liter  \n",
-       "1465349               7.2 milligram / liter  \n",
-       "1465350               7.4 milligram / liter  \n",
-       "1465351               7.9 milligram / liter  \n",
-       "1465352               8.9 milligram / liter  \n",
+       "1468847               8.4 milligram / liter  \n",
+       "1468849             10.15 milligram / liter  \n",
+       "1468853              8.48 milligram / liter  \n",
+       "1468924              3.38 milligram / liter  \n",
+       "1468934              2.09 milligram / liter  \n",
        "\n",
-       "[269613 rows x 5 columns]"
+       "[270134 rows x 5 columns]"
       ]
      },
      "execution_count": 41,
@@ -3463,10 +3463,10 @@
    "execution_count": 42,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:02.424452Z",
-     "iopub.status.busy": "2024-09-05T03:54:02.423963Z",
-     "iopub.status.idle": "2024-09-05T03:54:02.455504Z",
-     "shell.execute_reply": "2024-09-05T03:54:02.454988Z"
+     "iopub.execute_input": "2024-11-05T03:39:08.203747Z",
+     "iopub.status.busy": "2024-11-05T03:39:08.203413Z",
+     "iopub.status.idle": "2024-11-05T03:39:08.234755Z",
+     "shell.execute_reply": "2024-11-05T03:39:08.234195Z"
     }
    },
    "outputs": [
@@ -3548,63 +3548,63 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460635</th>\n",
-       "      <td>21FLPDEM_WQX-W7-A-23-07</td>\n",
-       "      <td>8.92</td>\n",
+       "      <th>1468847</th>\n",
+       "      <td>21FLHESD_WQX-BEAUDETTE POND OUTLET</td>\n",
+       "      <td>8.4</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>8.92 milligram / liter</td>\n",
+       "      <td>8.4 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460636</th>\n",
-       "      <td>21FLPDEM_WQX-10-02</td>\n",
-       "      <td>7.79</td>\n",
+       "      <th>1468849</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0126</td>\n",
+       "      <td>10.15</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>7.79 milligram / liter</td>\n",
+       "      <td>10.15 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460652</th>\n",
-       "      <td>21FLPDEM_WQX-11-05</td>\n",
-       "      <td>8.31</td>\n",
+       "      <th>1468853</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0071</td>\n",
+       "      <td>8.48</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>8.31 milligram / liter</td>\n",
+       "      <td>8.48 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460661</th>\n",
-       "      <td>21FLPDEM_WQX-E5-B-23-07</td>\n",
-       "      <td>6.57</td>\n",
+       "      <th>1468924</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0156</td>\n",
+       "      <td>3.38</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>6.57 milligram / liter</td>\n",
+       "      <td>3.38 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460663</th>\n",
-       "      <td>21FLSWFD_WQX-800045</td>\n",
-       "      <td>6.77</td>\n",
+       "      <th>1468934</th>\n",
+       "      <td>21FLTPA_WQX-G1SW0155</td>\n",
+       "      <td>2.09</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>6.77 milligram / liter</td>\n",
+       "      <td>2.09 milligram / liter</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>172624 rows × 5 columns</p>\n",
+       "<p>173145 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "        MonitoringLocationIdentifier ResultMeasureValue  \\\n",
-       "0                   21FLHILL_WQX-585               9.32   \n",
-       "9                  21FLHILL_WQX-1611               4.90   \n",
-       "11                 21FLHILL_WQX-1606               2.56   \n",
-       "14                21FLPDEM_WQX-24-01               68.7   \n",
-       "19                  21FLTBW_WQX-DISN               6.36   \n",
-       "...                              ...                ...   \n",
-       "1460635      21FLPDEM_WQX-W7-A-23-07               8.92   \n",
-       "1460636           21FLPDEM_WQX-10-02               7.79   \n",
-       "1460652           21FLPDEM_WQX-11-05               8.31   \n",
-       "1460661      21FLPDEM_WQX-E5-B-23-07               6.57   \n",
-       "1460663          21FLSWFD_WQX-800045               6.77   \n",
+       "               MonitoringLocationIdentifier ResultMeasureValue  \\\n",
+       "0                          21FLHILL_WQX-585               9.32   \n",
+       "9                         21FLHILL_WQX-1611               4.90   \n",
+       "11                        21FLHILL_WQX-1606               2.56   \n",
+       "14                       21FLPDEM_WQX-24-01               68.7   \n",
+       "19                         21FLTBW_WQX-DISN               6.36   \n",
+       "...                                     ...                ...   \n",
+       "1468847  21FLHESD_WQX-BEAUDETTE POND OUTLET                8.4   \n",
+       "1468849                21FLTPA_WQX-G1SW0126              10.15   \n",
+       "1468853                21FLTPA_WQX-G1SW0071               8.48   \n",
+       "1468924                21FLTPA_WQX-G1SW0156               3.38   \n",
+       "1468934                21FLTPA_WQX-G1SW0155               2.09   \n",
        "\n",
        "        ResultMeasure/MeasureUnitCode QA_flag  \\\n",
        "0                                mg/L     NaN   \n",
@@ -3613,11 +3613,11 @@
        "14                                  %     NaN   \n",
        "19                               mg/L     NaN   \n",
        "...                               ...     ...   \n",
-       "1460635                          mg/L     NaN   \n",
-       "1460636                          mg/L     NaN   \n",
-       "1460652                          mg/L     NaN   \n",
-       "1460661                          mg/L     NaN   \n",
-       "1460663                          mg/L     NaN   \n",
+       "1468847                          mg/L     NaN   \n",
+       "1468849                          mg/L     NaN   \n",
+       "1468853                          mg/L     NaN   \n",
+       "1468924                          mg/L     NaN   \n",
+       "1468934                          mg/L     NaN   \n",
        "\n",
        "                                         DO  \n",
        "0                    9.32 milligram / liter  \n",
@@ -3626,13 +3626,13 @@
        "14       0.05676222371166 milligram / liter  \n",
        "19                   6.36 milligram / liter  \n",
        "...                                     ...  \n",
-       "1460635              8.92 milligram / liter  \n",
-       "1460636              7.79 milligram / liter  \n",
-       "1460652              8.31 milligram / liter  \n",
-       "1460661              6.57 milligram / liter  \n",
-       "1460663              6.77 milligram / liter  \n",
+       "1468847               8.4 milligram / liter  \n",
+       "1468849             10.15 milligram / liter  \n",
+       "1468853              8.48 milligram / liter  \n",
+       "1468924              3.38 milligram / liter  \n",
+       "1468934              2.09 milligram / liter  \n",
        "\n",
-       "[172624 rows x 5 columns]"
+       "[173145 rows x 5 columns]"
       ]
      },
      "execution_count": 42,
@@ -3656,10 +3656,10 @@
    "execution_count": 43,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:02.457746Z",
-     "iopub.status.busy": "2024-09-05T03:54:02.457421Z",
-     "iopub.status.idle": "2024-09-05T03:54:02.650394Z",
-     "shell.execute_reply": "2024-09-05T03:54:02.649791Z"
+     "iopub.execute_input": "2024-11-05T03:39:08.236686Z",
+     "iopub.status.busy": "2024-11-05T03:39:08.236393Z",
+     "iopub.status.idle": "2024-11-05T03:39:08.423118Z",
+     "shell.execute_reply": "2024-11-05T03:39:08.422637Z"
     }
    },
    "outputs": [
@@ -3727,38 +3727,38 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13413</th>\n",
+       "      <th>13495</th>\n",
        "      <td>NARS_WQX-NCCA10-1672</td>\n",
        "      <td>8</td>\n",
        "      <td>5.437500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13414</th>\n",
+       "      <th>13496</th>\n",
        "      <td>NARS_WQX-NCCA10-1673</td>\n",
        "      <td>20</td>\n",
        "      <td>4.115000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13415</th>\n",
+       "      <th>13497</th>\n",
        "      <td>NARS_WQX-NCCA10-1674</td>\n",
        "      <td>6</td>\n",
        "      <td>2.466667</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13416</th>\n",
+       "      <th>13498</th>\n",
        "      <td>NARS_WQX-NLA06608-0161</td>\n",
        "      <td>5</td>\n",
        "      <td>6.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13417</th>\n",
+       "      <th>13499</th>\n",
        "      <td>NARS_WQX-NLA_FL-10127</td>\n",
        "      <td>3</td>\n",
        "      <td>9.033333</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>13418 rows × 3 columns</p>\n",
+       "<p>13500 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -3769,13 +3769,13 @@
        "3                  21FLBRA-1541B-A    6  6.600000\n",
        "4                   21FLBRA-1574-A    5  4.378000\n",
        "...                            ...  ...       ...\n",
-       "13413         NARS_WQX-NCCA10-1672    8  5.437500\n",
-       "13414         NARS_WQX-NCCA10-1673   20  4.115000\n",
-       "13415         NARS_WQX-NCCA10-1674    6  2.466667\n",
-       "13416       NARS_WQX-NLA06608-0161    5  6.500000\n",
-       "13417        NARS_WQX-NLA_FL-10127    3  9.033333\n",
+       "13495         NARS_WQX-NCCA10-1672    8  5.437500\n",
+       "13496         NARS_WQX-NCCA10-1673   20  4.115000\n",
+       "13497         NARS_WQX-NCCA10-1674    6  2.466667\n",
+       "13498       NARS_WQX-NLA06608-0161    5  6.500000\n",
+       "13499        NARS_WQX-NLA_FL-10127    3  9.033333\n",
        "\n",
-       "[13418 rows x 3 columns]"
+       "[13500 rows x 3 columns]"
       ]
      },
      "execution_count": 43,
@@ -3793,10 +3793,10 @@
    "execution_count": 44,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:02.652670Z",
-     "iopub.status.busy": "2024-09-05T03:54:02.652320Z",
-     "iopub.status.idle": "2024-09-05T03:54:03.338431Z",
-     "shell.execute_reply": "2024-09-05T03:54:03.337910Z"
+     "iopub.execute_input": "2024-11-05T03:39:08.424892Z",
+     "iopub.status.busy": "2024-11-05T03:39:08.424583Z",
+     "iopub.status.idle": "2024-11-05T03:39:09.177414Z",
+     "shell.execute_reply": "2024-11-05T03:39:09.176833Z"
     }
    },
    "outputs": [
@@ -3804,7 +3804,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n",
       "  self.bins = quantile(y, k=k)\n"
      ]
     },
@@ -3820,7 +3820,7 @@
     },
     {
      "data": {
-      "image/png": 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AUax/X+0RH8zao0XExwXhcMioVEocvIKCQtNQkpiaiCzDT39v49IRPRAEwZngJOBKTJIkiddmL+Kzn1ZTUm5Ep1EzYnBXLr9yBLJKzYG8CoqNNoL0GkZ3imJgu3BEASx2iZIqK9EBWmRkHDL4a1TVNxAFBfcoSUwKJ6MY91Ng6bp9bN53nPtvGeMSDnOXdeqQZL5cm8EPm45jOimCRsCZ4dohOoDXru1OsEFDYaUFo8WOSgWSLGOxy6hFgdQIv3quIAUFUIy7Qn0Ut8wpMOqCNEorTFhtdjRqz5lIby4+wO87c93uq7mzHsqv5PkFe3n1X90I8dMQ7q913ShkWUYQBIqrbIQaBLRqZRavoKDgHWUaeIpcc2EvNILnWfvB/EqPhr02kgybMko4UmhELdYVKav5PUivxmSXlIQnBQWFBlGMezNg0DtL8DkkCekky7toVy4qHwXCRAE2Hi3xuF8QBHRqlc9JVAoKCucvinFvJjQCVJht2B11LW9BhaWewfeEANjcaNGcTEO6NgoKCgqKcW8mVCoINmgpqDTXqcoU5q9F9KGaE4BDhrTYwJYaooKCwnmEYtybEb1awF+rruMvv7BzNA4fZtqiALHBevokh3psI8uyc3G1QdkyBQWF8x3FuDcjggABOnWdmXvn2ECGtY/Am9tdAPy0Kp6/sotXs11z0xAExS2joKDgHcW4NzOak5KNBEHgyUs7cUX3WFRu3DMBOhXX9oln9m19SY0KaLA6k8UuUWi0NOuYFRQUzj2UOPdmRqsSqLJJiJyYaWvVIg9f2IGJg1PYlFGC1S6RGhVAh+jG+ddlWcZsc1BmshEXpG+B0Z+bXP3Et2zcfQxTRSUqjYbI6HB+e+l62sZHtPbQFBRajEbN3GfMmEG/fv0IDAwkKiqKq666iv3799dpk5uby4QJE4iJicHf35/evXvz008/Ndj3+++/T0pKCnq9ngEDBrBhw4bGXckZgiCA1sMCaoifljGdormkW2yjDXsNZSYbNodnnfhTxWZzsHTdPn78czMbdh7lbE5gttvtpFz7BosW/kPRseNUFZdQkZdP+o699Lr+NW59+Vee/np1aw9TQaFFaJRxX7FiBZMnT2bdunUsXrwYm83G2LFjMRqNrja33nor+/fvZ/78+ezcuZNrrrmG8ePHs3XrVo/9fv/990ydOpVnnnmGLVu20KNHDy666CLy8/ObfmWtiEYtIMsSDqnhsEZfkWUZSYZKi51KS8sY3M/nraHtRU9w6b0zuXXaZwy/9XV6XfMCqzYdbJHztTQ97/qIvMNHnH+cdJOyVlXx26L1REcEM/ndRRw8ntUKI1RQaDlOSVumoKCAqKgoVqxYwbBhwwAICAhg1qxZTJgwwdUuPDycV155hbvuusttPwMGDKBfv37MnDkTcIpuJSYmcv/99zNt2jSfxnImaWs4HGCTnTHrzaUF45Bk9uaWEax3Cop1iPJvln5r+N8PK3loxg8nNggCIRFhtE+NB7uVF+69hGG92jbrOVsSi8VC1OinsdaaeLij56BePHLHRfyxejez7huFVqM5TSNsXs6kz7/CmcEp+dzLysoACAsLc20bNGgQ33//PZdeeikhISH88MMPmM1mRowY4bYPq9XK5s2bmT59umubKIqMGTOGtWvXejy3xWLBYjmxsFheXn4ql9JsSJLTsAOYbA7yKyzEBesbXChtiO1ZpcjIxIcayCkzNcNIT1BZZeGJt39x/R3TOY3x1wyjV5tw1NU3p1xZ5p8jxfRNDEbnRUfnTOHetxc2aNgRBPKLKvjlj/WkJkXz+E+7eeuGnqdlfAoKLU2Tp5WSJPHQQw8xePBgunbt6tr+ww8/YLPZCA8PR6fTMWnSJObNm0dqaqrbfgoLC3E4HERHR9fZHh0dTW6uZ02WGTNmEBwc7PpJTExs6qU0K9ZqT0xehRlJlokPMdQRAJOqY9Ubg80hkVthRkBAFATs1XHzGdlFPP3efP7vjZ9Ytn5/A7145rflOzCanNWfkvr1ZdJtF9GnXYTLsAOIgkBWmZllB4t8yqJtbYwm3+rRSpLM0jV76NA+DsFSRUnZmTFJUFA4VZps3CdPnsyuXbv47rvv6mx/6qmnKC0t5e+//2bTpk1MnTqV8ePHs3PnzlMebG2mT59OWVmZ6yczM7NZ+28KThe7jNFiJ8JfR5C+/iO+KAjkV/ouSQBwqKASSYb86uxXg1pk0E2vkHbpM7z26V+89/UyLrnnPeKG/x/rtqc3ety5hWWoRJGAqEh69u9CanQAopsnDVEQqLQ6SC+qavQ5TjfXDmmPSqfz3kiWiYkKwe5woFJrcEgyL/115PQMUEGhhWmScZ8yZQoLFixg2bJlJCQkuLYfPnyYmTNn8umnnzJ69Gh69OjBM888Q9++fXn//ffd9hUREYFKpSIvL6/O9ry8PGJiYjyOQafTERQUVOentSk32wABGWfhjpMNZE0x7DA/LVml9V0rNTN7qdYM/1BBJYeLnO4FuwRFRis79meydW/9m1lJeRWj73iLPYdzGjXumPAgHJJEWLu2dIkLRPKSUSvLMkeKz3zjft2YnkS3TfbcQBBQ6/VcP7o7fnotJlMVFllEUrJ/Fc4RGmXcZVlmypQpzJs3j6VLl9KmTZs6+6uqnF/6k0vIqVQqJA+RI1qtlj59+rBkyRLXNkmSWLJkCQMHDmzM8FoFk83BntwKFu8vwOxwGmQZ2JVTxp/7cvljTw6r0ws5Xlrl0mXXqEQs9hPhjDVumiKjlYMFlRwrqeJAfiVLDuazL78CSZKx2p2vX7nZxsHMYo/jkSSZ+/47p1HXcPnIHvjpteiDggj2866FIwgCJtuZ75YBuPPyvgRER9XfIQiIKhUjR/Xnjdl/cNcNI9m24wghwUGIUsuFmSoonE4ataA6efJk5syZw6+//kpgYKDLJx4cHIzBYCAtLY3U1FQmTZrE66+/Tnh4OL/88guLFy9mwYIFrn5Gjx7N1VdfzZQpUwCYOnUqt912G3379qV///68/fbbGI1GJk6c2IyX2rzIsszBAiO/rT/EylXbsBpNpMSE0L9PRwLiYhAFwVWIo9RkY1tWGXkVFnonhAAQEaDHancAApUWO0dLjGSXmd2eSxQFrFY7WrWIKAos23rY69g27GycayHAT8cLD17J++vzqTTbkCS9RwMvyzL6s2BBFeA/Nw4i0E/Hh79uIufocSwVFYhqNaEJcVw2uBPZeSVoNSqS4sM5VGYlTgVHDjesva+gcDbQKOM+a9YsgHqRL5999hm33347Go2GhQsXMm3aNC6//HIqKytJTU3liy++4JJLLnG1P3z4MIWFha6/r7/+egoKCnj66afJzc2lZ8+eLFq0qN4i65lCqdHC4x8sYs4PS7Db685iP//5H5KTo3ls6g0EBwfU2ZdTbiajpIrkUD+C9GpniT0ZjpdVeTTs4JyN+2mdb1VRpYXU5GgWexmfLDufftwV4fbEvTcMZ13RCnZnV9Ax1rOLSwZSQg0+99uaPPXZKsKTYumSGsObUy7GWFFFaJAfhwqMPPfOTyTEhvP4fVeweEcWXdvHY7FLfP9/41p72AoKzUKjjLsvUR7t27dvMCP16NGj9bZNmTLFNZM/kzFabIz697vs3ZvhsU1GRh6vv/k9zz1zR70Z8JEiI8mhfrX88TLd40IwaFQcKKh0W2VJFJ2++nCDmkP5lXTokFC/US0Eob5rzBfMWgPH8o1kFlURH2aot2YgSTIVZjvWs8AtczQ3HxMyIHD1iO783/8WExemIzQokGCDgUm3XsjhMjulkpbI6HAkGVas3AqXprX20BUUmgVFW6YRyLLMXS/+6NWw13A0I5c9e4/StUvddQmj1YFDklGrahQenYa7fWQgyaH+7M4tp6jKgkoQMNkcrqpLgiBQabUTaNBgNnlf9OvbJaVJ13asyGkOf96cxZguUXSKC6pj4I+XmPhjRy5JwSd0bTbtzuDr+evIyi8jOjyQGy/tz6CebU85rv9UeWdZNgkxkYT6aRjZJYY5KQnkFpYRUGWiPDSSeP8Quoapsdokcgsr2LZmCz3anZlPigoKTUEx7o1g7ZFiFvyx3uf2mzbvr2fcoX6t1Zq/NSqBXtU+eXDGtx8rqWJffgX55RYCdGoMWhVH0j2nyouCwAfP3OjzGOuOw+nSsTlk/tiRx8r9hSSG+aESBXJKTRQbbQAEGdSYzVbuevprflq8BbVKxO6QUKtEZv/0D5eN6M7Xr0xEp22dbM+nvvkHlS4Is83O7qP56LQq/jWoHT8s38OxSgsl63aS46/CoFNTUmXB7B9CmM7AW1MUl4zCuYMi+esjlRY7f67dh93uezRFaWlFvW2hBo1b6V84MYuvQaMSaRvuz6CUcHZklrpm+/df3Z9uHeLqHR8cYOCv2Q8SERLIP1sPkZXnuR6ru3MH6eve640WB/tyKtidVe4y7ACffb+UqKGP8tPiLQDYq5Oaav5fuGInj73WsFhcS/DEt6sY2LMdkiyze+dBQlQSDodElzZR3H5RdxJiIwgJ0HMkv5z9OaWYJRXDuiXz98vXt8p4FRRaCmXm7iMHC4yUlNQ31t6IjAipty01MqB+w1q4m9UHGzQMahuORiVi0IjEhwWw4fv/cDizgNk/rcZktnHR4M5o1ComPvEFmTknjHpcVDDvTr+eS0d093peuyRT5mNW5/x16djsnv3ukizz2bw1PH3fZUSEer/e5uR4bh7pR4u55AIt1/RKoPMlnRBEkf2ZxZQarRRY4PXbBmK39+dAVil+fhr25VVy58CU0zZGBYXThTJz95FKq52gQL9GHXPhhf0AXGkxnaIDiQ5svA67AIzrGuv8vZZ8QbvESF566GremjYem0Pisvver2PYAbLzy7j24Y+Y87t3CWWbXcLXnFlfFtbtDoml6/f52GPzMPmTjVzQIZbeCaH0TArBT6fBoFHRvU0EQ9tHEhegYcuxUv5JLyLPZGfu8n2EWUrQas+O0E4FhcagGHcfMWhUdO3aFoPBN+McGxlClzbRhPtpSQnzY0RqJO0imjaLFQSBAJ0zdLLKLpNfaa3X5o4nvvDax33/neMxkQxArxEJ8Wv4QU6WZYwFhQ22A7BafXsSaC4CreXcdVlfANRiXV0cgHE9EogN0hLup+FYZgF6ncD1Y/ue1jEqKJwuFOPuI8mhBtRqFTffOLrBtoIACz9+iAHJYQxsE06X2GACdL57wCRJIrfcxPHSKspMVmRZxiHJrpn18ZOkC35fvoPKKu+l9yxWO98s8Dx7FwSB63rHe+1DlmXKs7OxmXxTpezZ6fSKuQ3umgRCfddWDZIsExekZ09OBbJBzxsTh53W8SkonE4U4+4jEf7OGd/wYT25645LMRi0btslx4Wx+ednSPFSwk2WZWwOqV5FJVmW2Z1bxtKDBWzKLGVbVhnrM0rYllXKkaIT/n7rSaqM/2zznrFaQ0OiYjf2TyQ1or7rqcYNY6uq4th63ypkdWwTTdf23m8WzcnWwzl065CAykt8vygIBPjpSInwo7C08rSNTUGhNVAWVH1EEASGtA1j3dEShg/ryaCBXdm1K51ItUR5hYm0drFc0KMdIUF+VFkdVFpslJtsFFRaMDskKsx2io1WbHYJP50KjVqFViUSpFMRqNdQbLJRZrLVO6/VIZFVZibCX4ufRqTKJiHLdWemIT6uBQQHes8s9dOq+N+EXny08ig/b82iJldJstspPnKUnO07kH2sLuVOVbIliQo2cLjM5NLv8YQIfLFwM35Rsdz52XpmTxxw+gZ5BuBwOLDZ6n/OFM4ONBoNKpVva0SKcW8EGpXIkLbhVJjt5FVY6B4XQmGVFVkGf42IrNEiiiJ6rcCGjGLKLXaXsXFIMnqNCn314p3dJnFxp2i2HS/1SWWx0GilTZgfR4qrCNTVfXPvvm4oz8z8rcE+7r95pMd9siyzLbOMI0VVpMUGErXwAH9vOoTskHx2w9Qmu6Cs0cecCvERIcz9awd9uqSgUrk37g6HxLqDeRSpgykuNZNlMjLmmV+YclEnrhrU8bSO93QjyzK5ubmUlpa29lAUTpGQkBBiYmIaTBRUjHsDuNRvZbBJYJck1qQXY7Q5CA/QEqRTExtsINRP6zLku3NLKbfYaw5DgHqx7aJG4LW/DtA1IcjnbM7iKit6jYj/Sf77kCA/Lh7ShUWrd3s8dmifVGIjQ9zu251dzrO/7SOz5IQRP7wnG2tlA5WMvKBpBXGx/XnlWGx2dIK6nntGlmUEUeD7rbkI1fskvR9lxUYeeO1XPh3Ul48n9iU6ovWlo1uCGsMeFRWFn59fq2cQKzQeWZapqqpy1ZaOjY312l4x7h5wSFBbQsVosbM/r5yDhUancRWcs2lBhs0ZOeSWmQkyaBiSGk5mrQVPT+4JSZYJ9dewL6eCTnG+GRSj1UGwQUN8cP2InZ/emcSYO99m7bb6fvVenRJZ+KF73Z70AiOTv93ukhSuQesfABT4NC53jB3UqcnHNpU2KZE8OOMH3pk+Hp1Gjaq6kpRdkhAQeO3P/ezPO+FrFwQBISScpLY29m7ezt2CxJwpw/DXu19POVtxOBwuwx4eHt7aw1E4BQwGp2s1Pz+fqKgory4axbifhN0hc7iwioRQA7LsjHxxSDI7skspNFpds2ZZltmZWc7i3XkINREaMny7IZP+bUIZ2jECWXaKfpVW2TBZHQQZ1K7jRUEgIcyPHzZk+mzcVaJAlL8Wnbr+oqEoiiz9bCobdx3l+VkLyS0oIyo8kP9MuoRBPT0Xtv70nwxsdomT63PEdO9K8ZGmVSUSBYEZU69u0rGnwmNXD+COnCqunvYlo7vGM2Zod/yDg9hxvIxft2dzvKS+e0lUqSgvq6Qov4gci4p73l/KV49cfNrH3pLU+Nj9/BqXp6FwZlLzPtpsNsW4+4rJInGk2EibiIA6j62iIHNBSjjbjpeSVW5GFKDUaOev3c7qUbJc84+TtLhAADKKqlh9sJC8shNhim0j/RmeFkF4gLMEXFmVb4tbAhAVoGPigzOJiQzmuSmX0atTUr12/bqmMP/9+3zq02xzsGx/IQ43OUkavZ6wNm2aZOBvuqw/wQGtIwv86X0jeWC2SLZKz31fbUIfEtLgMZWVVfhHRiIV5lAZHeq6qZ9rKK6YcwNf30clFLIaWYYyi62eYYcTL2bPhBBCDBo6RgYyb4t78a6oIB1RQXoO5xv5eVNWHcMOcKTQyDdrMymssGC02HH4WGxaFAUWL93MzoNZLF6zh0E3vcrF/37Xa2JSQxgtDhxesk0T+/clOq0joqruxyQixJ9fZ97L6//3rxPjEwSXn33Ogg1cdu/7mC2tE5Xx7p3D+fD2AQzpkeLbAZYqBEHAZrYg1SqyolAXWXaWeqz5aWSdd4XTjDJzr6bS6iDEz3NB5RoD3y02iNwyMwVuskQBwvy1OCSZP3fluTUSsuxM9V+6N5/+bcO4Y7hnl0kNalEg+/AxXnx3Xp3tKzYd4JbHP2POa3c22Ic7AvVqtCqxXtx8beJ6dufJ+y4j2lFBTkEpfbqk0KdzEoUlldzw6Cfcd9Mo7rlhBImxYQBs2Z3BW1/8xcLlO3jvm2U8dsfYJo2tORAdVhwmE6JO51pErY0sSVTm55OUEs+OHYeIbZeMZLOd9iqqh/LKefajRRzJKkYyW+jVJQmLxc7aLfspMDpw2JyL82qNhov6JfPVC7ed1vFJ1Ub9ZNedHRAFUIvO/xXOLJSZO87FU7WPxS2CDVos3kSzJJkjBUZMVs/qkTJwrMhEqJ8GrRv/+cmNbQ6JTYfy3e7+Zck2qkzubzQNoVWLXNItGg+Rg87Ty3B5j1guH9Gdu68bRp/OTlfQNwvWM/uFiTz/4NXER4e62vdIS+SrV//NA7eO4cPvV/ikQ9NSvHtLPzrFBWA3m+uNQ5acIZ5Fu3dh0gVgrTSiCgxxGncfDdUfq3Zz02OfcPnkDxj7wCdc++S3PPbBn+SXug9tlWXnZ80hObV3th4r5pFZf3LLf77keGY+vXt0oNhkZ9OeoyxYuZOM44VU5hdgKinBVFJCRX4+Py3cRMoVL53qS+MzDgmsjvqGvQZJdu738QG0xdm9ezf/+te/SElJQRAE3n777dNyXpvNxuOPP063bt3w9/cnLi6OW2+9lezs7NNyfncoM3fqRsX4QkKon0v7/GTaRvpTWuWc/clATLCOxDDnAkhmsYncWuX0yk12gv0aiMwQQEBg3Jje2Mwm5v2yqo4rR5Zlvvh1LffeMLxxF1HNxEFJrDhQSLnJ5tb3fvugJKKD6kfn+PsZuHhYt3ourJoIlWemXMnvy3dQYTQT1Er+d4AvJw3hX68sZP+RI2ijYlDr9TjMZorSjyAXF9BxYF+2LvmHbqMGE2wtIzO/4fj8Q8fyGXHbGxSVug8VnfnJAu669WLee+hSLDY7/37zb44cP47DbKJrYhgZpVYs5ZUMH9iFHQey0QgSQVHRrNy4l8fuGMtzb/5AZUkFkr2+No8sy+Qdz2HCU9/w1fM3n/Lr4w1J9v27YZOqK4C18gy+qqqKtm3bct111/Hwww+f1vNu2bKFp556ih49elBSUsKDDz7IFVdcwaZNm07bOGqjGPcmEOavZWj7CP45WHcxMj7UQJeEIHZllROgV3NFr1hiQwxI1XcBURAoKDdjk2SiAnUedd3dIQgCV14+hF49Unnq2U+Rak2lSsqaHo8eHaTnk1t78dqfB1l35ISiZIifhomDkhjfx72EwIgBaUiS7DFhyG53MPFfg9FqWv8j9tPjl5B2x4eEleUhFVgRVCqCEiI4bLexbdkauo0YSJBeTUl+EQZRJu2aF9n38xNu+zJWmek/fgYmb+sJsswnX/zB+kPpXNCzO9lZufhroFe7RLKsKmL8y9hWYONYsZHykgquvXIoX8xbwyO3jeTY0WxMssqtYa/NH+sOnspL4hNeHlA9tm9tgc1+/frRr59TjXXatGmn7bzBwcEsXly3svHMmTPp378/x44dIympfvBDS9P637xWxtPjZkPcPzKVPdnllBitLgM/rKNTTyY1KoCkMD8C9SfCHmuICHT69ZsauZCUFMPn7z7ApEc+cBmYYX3bN+0iqokPMfD29d3JKTOTUVSFXqOia1wgapVnl1FsVIhXHRe1WsXg3u3R61qnGtPJBAUG0L1bMr/9/g8xSXFoBejYuS1+PdpjKq9g7/5sRJuFgLAQJL9ALrjjHdZ9+mC9fp59f4F3w17NVdeORqsW2bY3k8rycjrHh7JyTza9OiWx9ngJI3qlYrU7Sy7+vnwr/dtH8Pl3S4kJ98NhbaB/WcZcXt7Ul8InZLnx3w1J5pyNNGoKZWVlCIJAiA8RWy2BYtzdzE4a0icBiAzU8b8Jffh6XQZ/7MxFqxGJD3W6H9SigN6gdttHQ/36aVS0jfAnPtiAShSosjrIKDaSUVLl+rKJAQGs+eFJ3vtyMX+t3k2/Hu2x2EElgkrw7ctVXGWlpMqGKAhEB+rw06qIDdYT6yZByh0NPXU4JInEmFCvbU4nKruZdXuyuOqqYezck8mOrfsIiIlBEMBYUEC3Xh2Iiwxn3bpdSGoNew64F1n74pe1DZ5r4IBOaLVqIuNjyM7dQ3RCBF1SIkjumMy+7QdISQgnOT6C/UfzkCUHx7MKmXTtUJIOHmPLjkM+rVO09FqGOxedL0gyXtdwzhfMZjOPP/44N954I0FBrZP1fN4bd5e6gAwOWaKw0uJzQY1wfy0Pjm7P5BHtyCozszOnDJPVQZXVTph/fV+6RhRIDPUjIcSAViVitNo5VlJFdpkZGQgxaLggJQxREFyzfX+tis4xQcQGG1h3tMg5OwIkrY7XH78ex2MyUvXNyC45Ixi0Ks++zwqznfXHSig9qepSUoie3gnBXmfrtbFZbMz8djnpmQUkxoQyZcIY/GpldqpEkajTWIWpIda+fxeDH/uBdbuz6Nk2hq6dkjDJIqIsYxDsZJaY2XvwOFUOmWCVDbvVTu+7ZrHlk3tdffy2fAcVDUgrt22fSExKMiXFZWRUShQUlmIQ/Nl1OJuRI3tRkRNCdoWD43nFiGoRlVqNLDjYduA4otXCBb1SWbMnB4unRR0AQUAXcOa8trVRoiOdi6vjx49HlmVmzZrVauM47427KIDFZmdTZikl1YuKYzpEoVOLPrtO1CqRUD+n+2F7ZilpsYH1jjVoVAxqE46+OjpGEAS0apFwfx0JIWY2HSuhb2JoHcNe0w6ctVc7RAWSXmjEXyPikJ2PHMdLTJhsDuJC9ARXyxBbHaBT1Z/Bm2wOlh0qxOZmWnas1IzZLjG0bViD1z39zZ959+tlrrUEgJc//oPbrh7EW9NvRJbl6uvw5dU7fWSkH6N9Whv+WLWLiJhIoqPDMFWZObz/KClJkRw7nEHCgAFcECqRmZ6JdFK93Luf/qrBc8SEBbJu4166pEYjCKLzvZRBliVApqjMiFVSsWXXUdp2aofRbCUyNBitWo1K1uIfEIBatnsPIpdlUuLPTBmBM+wtP+3UGPaMjAyWLl3aarN2UIw7AjJ/7S+gxjuTHOqHXqNq9GNvfoVzRrfreDnRQXqC9BrEWtatT2JIvRtGjRGP8NfRKyEEvcbzapQgCLQN9ye1upqTLMtUmO08/etujpWYUIkCo9MiuWd4O2esvQzqk75pBwqM2Byyx9lVfqWV/Eor0YGe4/2fevdX3v5qab3tsizz+c//IEsy7zxxExo3Nxd3lFZUsXDFTqrMNtLaxjC4V7sWy6Q8/tOjRF70X/oO6YVGEDFWVBCk19K9S1vW/P0P8f37Urp/H5s1DkIDDdhrLWpu2ZNBaUXD6pgbNu8nOCYSlVrDoM7xbC4vRqtT06VtBNkFleQWlnEoo4Cg6AguiQ5A1TuV8LAQ/DVg0xhYufkAd111AR/+uslZ8ar2DL7694CoSDZ9UX89oDlRCc6nwMZypt3QTyc1hv3gwYMsW7as1XV8znvjviun3GXYNSqBrrHOO21DBuZkv3x2ufOLb7VL7Mgso02kv2tfiEFDiIfiHjXnigrQI1XPeD1x8ow+UK/mo1v78NyCPWw6WsLfe/PZcbycD2/pRaiflpND6DOKqxp8bF69J4vyrFzaJIQzrG97xFqLpna7nbe+XOL1+C9/Xcsbj12LroEQT5vNzvipH/Hn6j11xhQXFcyc1+5iQPc2DYy0aRT8+TQd7vuK3B27sFutCMiEt21L25HDKT+wj4GdYpj3+zouHtGL/UdzXcc99/4Cn/q32x1UFBRh8OtKQWYO5ZJAflYhelHmWFE6wwb3okfHQvbnVvD9os3ceEl/9h7LZ822ArCa6JuWzJ7sCh4YP4gPflyD1S5hLisDWUYXGEhgoB9HfpleZ+LQEtSENTZmUVX0cb2nJbFarezZs8f1e1ZWFtu2bSMgIIDU1NQWO6/NZuPaa69ly5YtLFiwAIfDQW6u8/MTFhaGVnv6xejOe+N+uOhEwkmHyPruFE+c3M7ukIkNci5IZhdX1TH+YbXkgD0hikIdN4evY9CpRR4b25HlhwpYtb+Q7ZmlfLE2g4dG14+gsfqwSrYrPY+XX50DQFJsGLOevolRF6QB8Nm8dej1WoYP7UHfvmnodBoyMnJZsmwLhw87kzVkWeadr/7mP5Mu8XgOWZbpN34G+4/m1duXnV/GqIlvsnbO43TvmODT6+ALNdEfkgyf3jecT39Ssz6jDDsiOuwMDJfYoLIzb8E6hvZN5UhBBTHJca7j17hR2/SE1WLjQHo2sZFBDOnZls3bD1BQaWJIp3jKKowUlZlpHxeCXZL48o+NhOlVjB3SlZ0Hsyg0mmkTaWD19qPcef0IOieEYLNLlJlsrN58kEv6J7pyCVoateh08TWmfWuTnZ1Nr169XH+//vrrvP766wwfPpzly5cD8PnnnzNx4sRmXZTOyspi/vz5APTs2bPOvmXLljFixIhmO5evnBfGff6y7bz95VLKKqtIiY/gv/dfRae20QjUjQqICGjYCHsiUK8mJcyPy7rHsmh3bpP6aEr1IkEQCPPX0j0+GK1aREJm49Fift/lNLYp4X6kRvoTpNegV4uYvQQvy7JM2zax6LQaLFYbx3KKuey+mSye/TCDe7Ujt8zIay/fi7+/3imXKwjEx0UwdEgPfv3tH+b+tByAjJxir2N+68slbg17DZIkc+XkDzj81wt1nhyaSk0WZQ1905Lo+0QSx3KLufqBWRzKLCB9z2FCggxcNqY3h/IqMJeWMPetW13HmMyNywLOz85jyODu7NmfQcc2iWzZn8Hf24/QKyUKWVQRHBYK+44xNC2OlduPsOifvcg2G//MfoDLH/2CIQPSKMsvYpe5CkmWkSSJH1+65ZRfi8YgCqARfUtk0pwhEgQpKSkNGu0jR44wfHjTkv5O5bynm3PauJeWV9Fv/Esczyt1bdtzKIeFK3Zy5ehefPHyna5MUnAa16b6e1PCnAa0T3II9pOcH4VGC4LgfWHFVl2KL8RP0yQjnxoRQFapieEdI/l4eTqvLnImuRg0KvqkhHBj/0TahBnYm+854UkQBPR6LYMGdWXZ8q2Ac8b7rwdmkbXiNTr26owsiHUMbo3k6JWXDyYzM4/1G/bSPjnK4zl27D/OU+/82uD15BaV8+H3K7nvxhG+XL5HTjbstYmLDOa396dw3X++pMpkIzDQjyXrDxIbaqBdp7aEBJ2ISGns99ZqNHHgwFGyCo20SYknOtQAwQZyLBIFJeV8++x4uG2o22N/e/30asd4QyU6XS3utGXg7NSW+eOPP5g5c2ZrD6PFOQMepFqOgTe9Usew1+bXJVuZ9sZPRAac8IVVuKlh6isR/loyS6vYkVOO4aQ0vTKTjWKjxavbRaMSEQVcmjQ1bX2dDUiyTGKIgS0ZJYTWCsM02RysPljEu0sOVUsZeEeWZQZe0KXu+CvNfPjLekS12qNLQJIkLh03EFEQeODmUW7bVJmsXH7f+z67n2Z9t8Kndp4oLKmkqKwKTwF6apWK2IggrhvVDY1kI0AjMPaSwYwa0YvfXrihTtvGuszKK6ooyC7AYK3g0L5DSCYba1dtontUAGs/mNTUS2oVRMEZXqtTOWfoatH5v07lPez2TGXDhg3079+/tYfR4pyzM/dVmw5yNKvIa5vZc1fy5JTLyT/kbJdeXEVMcNN0UGwOib15FW73CYLAxmMlDEgOI9igcW072QUUbNAgA/vzKogO1BGo1/gsUSAKAkF6Db2SQlh3qL5bZH9uJX/uzqdtpD92L3ZKFEX8/erH+R8pqCCmnec4ZlEUadMmlvtvHYVW6/5j9eOfm8kvdv8auePQsQKqTFb8vCxGu+ODb5fz4v/+oLjMyP5FLxEY4Pk1FASBqTeO4IHrh6BXi83iBqph987D9bat2+677/5MQxCUBKWziXN25v7O1/XD9U7GZnewbvMhLkh2ZlIWV1nJKTc1yXd2qNDo9dHdJsmsTi/i41XO4hfufPuCICDg9JOH+GkbNSOSZRm7JKPTqOgQUzfBJSJAy7V944gNMWCyOTCoVa54+5NxOBxkZRfW226x+RYY9/z9V3rc9/favY2O8vCkXeOJR179kUdenUtxtd6OwYeSeTLgp1V7NexaL2GqjaGx16Og0FTO2Zl7ZZW54UZAYVklkQF6ruoaw/58IwfyKrDZJRJC/Vy+7xpj7262XcPxkhNRNxH+WhJC/PDXqrBLEtllZmddVQG6JwR79es7I2BUrt99RRAEcsvNOCS5usqTc4acGu3PmM5RbM0o47dtuVjsEqIAg9qFc0XPOKySRGktd5RKpXL522tz+FAWw4f29DqGQJ0KjZdIDovVVkfwrCG6pDoXd30lI7uID76t68rZl55Dr87JHjNvZVn26elo3NCu/Lp0u89j8cRlw7ufch8KCr5wzhr37h0TWLGxYeW8/t3bOheFVAJdYgPoEuuc9R7IraTUbCcpzMD2rHJkZIanRmK02jFo1HUMQoXFhlWSEQXomxRKVIC+zk0gMkBPt7hg9uWW0z4qsNmvVZJlTDYH2eUmBJwFoQHC/DSMSotizrpMKs12AvVqruwZR0q4Hxa7xPcbM7mpXxKCHxQbndEgK1dtZ+++jHrnKCssRqMS3Ga31tAh0n1KvCRJ3PL4Z/y2fGejruuxiRc12MZud/DjX1uYPXc1m3bXH/fsH1fy4X89L1AKgoDZZkOj8n4Tmfnkjfy1Zg8m86lVl7r3hmGndLyCgq+cs8b96XsuZeY3y7y6SpLiwmkTH4G7SV2HmAAqzBIOZMrNVspMdgqMFqIC9NgcEqpaS5Pm6lixrrHBRPq7V30UgE4xQc2WfSlJMghOX7vRYmfDsRKk6oLch/MquaZPLG2jAlmwLZsKs52LOkfzyNgOqIQT8fRX94pnf24FqUH+/Lr5CH8sWs+fize4Pd9/J19OjzZhrEovRpJOZLnWRBulhBlICXO/XnHZve+zbMP+Rl1fn85JXH9JX69tzBYb/3rwQ5au3+/ME3DzVPDjn5u4bGRPLqmeMde4hSRJRhQFvlqbQaXFxsNjvCe4RIQGsPOXp7lk0nscyHBfOKUhOqREoVafs185hTOMc9bnHuCv58l7LvW4XyUKfP3qXai8FBgI1Iv4qVWM7RRDv+RQ/NVOWYKTXQ86tUiQTk1iiMGj8RZOcvGcCrIsc7zMxNFiI+uPFrHicCEmmwNJktmTVc6FXaMZkhpJj9ggDuYa6Z0UyuMXd0QtCoiigFolutwU7aL8kQFdRRmL/trg9mY4/d8XM3pgJyL8tYztGEH7SH/8tCp0apGoAC2DUkLp48HdtPNAVqMNe2pSJAs+nNJgu+c//J3lGw8AeHT3SJLM7dNn8/S788jOP6FXn15o5PkFe5n9z1Hmb8/xWl2rhvjoULb/8jTLv5jq45WcQBDg0xdvb/RxCgpN5ZyeRvzn7nHERATx9Hvz61TNSWsTw+wXJ9K9Y3yDq/9aNahEFR2jg7A5pDpGuub3QJ2a2GB9g7Nyd8c2lppjk0L9qDDbKDfZXdvskkSnuEA6xwTRLiKAncdL6Z0SwmNjOyDjPklKLYqE+Gm5fHRveqQl8sRbP7N1TwYg06NjIi9PvZoeaYmu9v5aNd3jguge55sg0nMf/ObztSXGhPDv64Zx7w3DCfBSzxacSUUf/bDKJx++wyHx/jdL+WDOMqKjQukw7iLKaqlimmxONdD4EN8ipZJiG6cZ4m/Q8vO797hKFJ6tmGwO8ios2BwyGpVTKtrQTAvNCs3POW3cAe64ZjB3XDOYYznF5OSX0T4lmpAgPwR818FQic4fSRJc+i+1F1cFQSDGR5ng5jDsNQTqNfRMCEGnEThcWIVGJRLur6VdRAB2SSKv0swl3WOIamBsDkmm1GwjrW0sP703GX0zfiqyfShbB7Dgg8mMHtjJ5373HM6hsgH53ZORZRmi412GvaqkBHN5OfqgII+ibTabg/nLt7NwxS7MVhvdO8TTuV1svXZqnY6wNikYwsNAkqnIzaVtgMCz917SqOs6EymusrIvv5KcMkudUFgBiA3WkRYVQFhD5SIVTjvnvHGvISk2jKTYsFPqw08rsGjVLtLaJxIVFuhS6XOKePkW1XEqPnd3xx7Ir+BwYZVrf4S/DocksSWzBLNDZnibhgtmCIDVIWGxO9Crm3cmFhXm2wJy26TIRvXblNcxrE0bojulUXzkKFlbtyHZTiyOdlu3hjcfv44bLunn2rYvPZcRt71BWaVTFE7AWZBckuQ6Yo1B8XEkD7wAoSaUUobgxAQC/LUktTvx1HM2klVmZn1GidvsVBnILrOQW25hQHIo8T4WemlJPv74Y7788kt27doFQJ8+fXjppZdOS9LSpEmT+Pvvv8nOziYgIIBBgwbxyiuvkJaW1uLndsc563NvKV779C+6Xvokwye8grE6cqLGjy7L8mnVlziYX8HBwkpig/T0iAumZ3wINofEsoP55FdaCffTEuhDmTtBgAqLHZPVgaaZPxHeBMRqiAoLoE18RKP67ZIaS2iQn8/t1QYDEe1TKTx4iMwNG+sYdoCS8iomPvEFn/78DwCfzVtDr3+94DLsUF0kRap5r53b9CHBpAwaiCCKrqc4QXT+X2aycf+3OzBamiKe2/oUV1k9GvbaSDKszyihuKpx+jstwfLly7nxxhtZtmwZa9euJTExkbFjx5KVldXi5+7Tpw+fffYZe/fu5c8//0SWZcaOHYvD0Qj1tWZEkM80tZsmUl5eTnBwMGVlZS0mkC9JEoF9H3RFm6TER/Dl2/fRPj7c9Vh/Km6XxnAwv5zjZWYGJIfhp1W7xuQUQ5PZkllKiEFDamRAg1o1Dklm2cE8Sivt3DKg+ZQYaxh88yts2ZPpcf+XL0/kuov6NLrfFz78nZc++qPRui/e0KhFenVKYsPOoz61T+zfl9Dk5BOz9pORZZLlcrqGqrhyVI9mVbqsjbfPv9ls5siRI7Rp0wa93vfZ9ZqjxWSX+e76ig/WMzCl4SfF04nD4SA0NJSZM2dy6623NnxAM7Jjxw569OjBoUOHaNeuXbP16+v7qczcT4GjWYUMu+6/xA56kLZj/o/4oVNZWR29UXs239wcyi/nYKGRC1JO3FRqKjgJgoBKEOibFIrWRw3WvXnlyAhc0yuercdKm328K754hCG964caatQqZj55Q5MMO8Djd17MVaN6AjSbDK7NLvls2AGC4uM9G3acs/2deVXM+HgRA254mX89+GGj1wpaA5PNQU4jDDtAdpkZk611ZqmeqKqqwmazERZ2ai7ZxmI0Gvnss89o06YNiYmt45pTjHsjEEWRC3q0cZvRWFJWRZXZyrUPvk9RqTM7tKTKQpnZRmGlhU3HijFa7Y0WoKrBLkkcL63iWFEl+wuMxAcbnFooHopwC0BMoL7BWbvVIZFRXIVadKqKtYsK4uvf1iO5qxzeRNRqNYtnP8ShRc9z/y0jmXDFBbzzn/GUrn+LO/81pMn9ajQqvn71Dua9ey/jhnQh0P/0+3y9GXaofi9UJyp7/bl6NxMe//R0DO2UyKuwNLoeqlx93JnE448/TlxcHGPGjDkt5/vggw8ICAggICCAP/74g8WLF7dKoQ5opHGfMWMG/fr1IzAwkKioKK666ir27z8Rw3z06NETfseTfn788UeP/ebl5XH77bcTFxeHn58fF198MQcPNpxd2ho8MGE0Dg9OSFEU8NNpCdSr0aoEQv10lBot7MguJbfCwsaMEmwOCamRvvljJVUs3pfPvvwKDhQakaHBIt41hTzA89ODLMukV/dntDo4XlKFWiWwdV8WMcP+j0MZnjXXm0J8dCivPvIvPnruFu6+bliziHSJosjFQ7vw49uTSG3komxzYCopQfZyI5QlCVPxifh6hySzaPVutu3z7KY6E/CWiewNexOPawlefvllvvvuO+bNm9cod9SpcPPNN7N161ZWrFhBhw4dGD9+PGazb1IozU2jvl0rVqxg8uTJrFu3jsWLF2Oz2Rg7dixGozOGPDExkZycnDo/zz33HAEBAYwbN85tn7Isc9VVV5Gens6vv/7K1q1bSU5OZsyYMa5+zySuHNWDaXddDFBHr0QlChh0Gn569x6CAgyoRNCrIS0mkIvSohnTIZK+SSGoRZHNR0tILzCSU2am3GTzOpvPLjNxpMhI19ggRqRGMrpDFMNTIwgxaHyOqy+stHKsyIjJ6lzYqzlfXoWFw4WVrvY7cspJL6ykV+ckKoxmLrjxlTp1RM90ggJO78y9e4c4Cg8c8j57FwSKDtdVh1SrROb9XV+/50xC00SBM/UZIoz2+uuv8/LLL/PXX3/Rvfvp0/MJDg6mffv2DBs2jLlz57Jv3z7mzZt32s5fm0aFQi5atKjO359//jlRUVFs3ryZYcOGoVKpiImJqdNm3rx5jB8/noAA97ojBw8eZN26dezatYsuXZw64rNmzSImJoZvv/2Wu+66qzFDPC08M/kyxgzqxP++X8mm3RnotWquGNWDu64dQkJ0/QUllQjBejUOCewy9EkJ5eNVR/hh43G0aoH7RrTj4q4xrszXmkVZWZbJq7AwtF1EdVy+84sT4EFS92TWHC7i8zVHOZDnNOA6tcjYztFc0zuOYpONnPL6M4p9+ZVEt4kHwGiy8vZXS3l04timvEynnYcmjPFJT6i5OHK8kCqzjaLD6YS3a4ssSS5DX/N71uYtWCvrTlIEQaDCeGa5L04mOlBXp5CNLwjVx7U2r776Ki+++CJ//vknfft6l7BoSWqi5yyW1nmvTynOvazMmaDiabFi8+bNbNu2jffff99jHzUXXvuxSRRFdDodq1ev9mjcLRZLnRetvLy80eM/FQb3asfgXr6vgAsCqFU1L7jAg6Packv/BBbvLaCwwsLy/fkMbheOXqOm3GwjQK+m0myne1xwHcMOvsV4/74zh9f+PFAnUctil/h9Zw6rDxVy08CkekVFaiizwVtvTOHhR2by1fz1Z41xv3hoFxJjQsnMLWm4cTNQUR36d3zTZioLCojs0B5DaCjIziSm/H0HMBYU1DvO7nDQIcVztaozAYNGRWywrlHRMnHB+lbPWH3llVd4+umnmTNnDikpKa4i1TV+8JYiPT2d77//nrFjxxIZGcnx48d5+eWXMRgMXHJJw+HALUGTjbskSTz00EMMHjyYrl27um0ze/ZsOnXqxKBBgzz2k5aWRlJSEtOnT+d///sf/v7+vPXWWxw/fpycnByPx82YMYPnnnuuqcM/IwgP0HJDv3jX35Iss2BnLtbq6VJyqIGusd4lgt1RZrLx1t/OGWxtj0+HmAB6JAYTFqDFUWuHn1blzDCUnbHNVTYHEeHBvPHafbz9xrdNujaz2covS7djNFkYdUEabeIjkGXnTLAx2cGNZcP307jgxlfIyPZex7W5Kc04RmnGMZ/a6jTqOslSZyppUQHkllsajHMHpz5Txyj/lh9UA8yaNQur1cq1115bZ/szzzzDs88+C8Czzz7L559/ztGjR5vtvHq9nlWrVvH2229TUlJCdHQ0w4YNY82aNURFtc6NvMnGffLkyezatYvVq1e73W8ymZgzZw5PPfWU1340Gg0///wzd955J2FhYahUKsaMGcO4ceO8LjpOnz6dqVNPCDiVl5e3WshRc1FYaXUZdoCOUYFNiplfvCcPR62FLUGAy3vG0iEm0KWGWPPaqkWB/klhBOicH4UaV9C2rBKiIkPp16t9o84tSRI3PvYJvy3bWef9a5sYydx37qNNonPRU1Vde7O5jXxIkD/7fv8vyzbs54m3f2H/kTyqGlncuqUQqv0cM5+8kZBA3xOwWoswPy0DkkMbTGQSBRiQHHpGSBD4YrCPHDnCiBEjmvW8cXFxLFy4sFn7PFWaZNynTJnCggULWLlyJQkJ7pMy5s6dS1VVlU+JA3369GHbtm2UlZVhtVqJjIxkwIABXv1lOp0Ona71/XvNSW1lQq1K9Fr4whuZxSZUooC9+hvZv20Y7aOdj6Q1krc1Nw2HJLPxWDEjUiNdkU1RgToGtYlgdXohV493Xw+1Nn+u3sN73yzjn62HAEhrG0u3DvHs2H/c1SY9s4AB17/A5p+fITEmDIcMksNZg7MlZvEzv1nG1r1nVkTKgO5tmP7vcYwd3Lm1h+Iz8cF6RqSGsz/fSHaZuZ62TFywno5R/meEYfcFWZZZvny5x0npuUSjjLssy9x///3MmzeP5cuX06ZNG49tZ8+ezRVXXEFkpO/hacHBwYBzkXXTpk08//zzjRneWU9tH3i3uKZrv/vpVK4voShAn+QQj33VhEEWGq1EBuiqjxEI1KmJDzbwx65cBqaYPComzvh4Ef/9YAEqlYjD4bw57TxwHIdDYnCvVJfBB6cI133PfsVvHz7oOrddguZ20z7/4e8sXLmrycc/OvFClm844Lb4R1MIDw1g84//ITq8ZTKnW5owPy0DU7QuVUi7Q0Z9lqpCCoJARkbzvK9nOo2aGk6ePJmvv/6aOXPmEBgYSG5uLrm5uZhMpjrtDh06xMqVKz0uhqalpdUJD/rxxx9Zvny5Kxzywgsv5KqrrmLs2LNjIa+5CPfToKsOJQvWa5qc5TqiQ6QrFj/YT4Ofzvs9XOBEJabaJIQYWLonn1XpxW5j+9dsS+e/HywAcBn22r//s/UQHVKi6x6z5VCdvx0yzSofADDz62WndPz8pdtZ8eUjzSbRa7PZz1rDXhuDRkVKmB+pkf6khPmddYb9fKNRxn3WrFmUlZUxYsQIYmNjXT/ff/99nXaffvopCQkJHo3z/v37XZE2ADk5OUyYMIG0tDQeeOABJkyYwLffNm0h72xGEAT6JoUA1DGmjS300TEmkAFtQp1FSHw1nCdN7AVBQKsSsUkyReUWXp67nuTR03n45R9c9WlnfbfCY21ScEoChAbXXWSTZBmrtW7sfHPa9vJKE+XGU0saKSw1Iooiq7/5Px6/q+FSf95QiQJdU+NOqQ8FhabQaLeML7z00ku89NJLPvfzwAMP8MADDzRmKOcssUF6hrQJpcRkdS1yAuzNLadDVAAqH101z1zehRd+38va9CIqzXb8dSqvrplw/7o+U1mWMdslOscF4adV07ZbW6osdj78fiWfzVvDmjmPs2HHEewOz9mZDodETn5pve3ak+L0m9PlbrefurZJbRmDZydfzi2X9efR135i5aaD2BwO9FpNg/owoihw0ZCuTLhiIIN6p2KxOxeQRaHlIoUUFGpz3ui5n03EBOmJcMhY7DKqajeNViVSbrb7lJkqyzJ+WhUvXd2V9IJKNmZ4jvsWAH+dmvDqBTFJlsksqeJQYSU2h8xlPWIQZOdN56YbR/PRJwuwWO2Muv1NIn3QalefpA+f1rZuoYvmDosMCwlAq1FhPQUBq5Nn66nJ0fwy8z7X33sO59Dn2hc9Hq/Tqvnm9bsZPbAzDoeESiUiAzbJeb0ttYisoFAbRTjsDEWtElCpnFIFkiSTHOZHZRN0wdtGBjC+TwIJ1QuiJ9sUnVqkX1IogiBQbrax9kghu3LKMdkk7JKMQwY7ThmEIYO7udQXyypNDOjR1qsao0oUiI0MrrPttceuq3udLfAJvObCXqd0/Asf/s5BL7o6ndvFcpGXiJeenZK4bdpsQvtNIXLggwy+8SVWVNeRlWSZM0w4UeEcRTHuZzB6NXRLCOa/v+8hvcCIXi16nbXLsozF7qjnwxYEgZ7xIfRPCiUqUIe/VkWwXk1MgA6NSmTloQLm78xmxcECskrNqESBNuH+DGsXwYUdoxjSNpyIAD06tYoX/3Ozq19jlQm1yv2YREFAo1Fz6Fg+4NRT+ej52xjSt4Orjbq6fGFz8/Fzt5Ac57nOaUOZxXlFFVx6z0ysNs830y9mTGRA9/rRYgKwfns6xmq3jSzL7DmUzVWT3+PDb5chCAIOWa5TBERBoSVQjPsZTqBO5IlLOrEvr4KZSw9jtjk8Co0JgoDGjRxxzT69RoWAs5qQKAjkV1qosNhxyE4fsSAKhPprGdo2gs7RgQTq1OjUKoL1GrrFBtE/OYwe3dqRnOAMb60wWvj+jbvRa9V1pIUFQUCv03DV6F70SkvkpYeuomT929wwrp8reUmnaplZOzglhnf9+hT33jCMwOpC24IAaW2i+emde/j704cZ0jvVo2vE4ZDIzC1h/rIdHs8RHGhg6WcP8/usKVw7tje9OiUSGRbgdXF4+ps/UVRaiSAIfPDtymaVVT4d5FdYWLAjl+83HWfBjlzyzzB5X4W6KJWYzgJk2VnKzC45Fz9r3rLaUTQ1QmMAH61MZ9LwdkiSRKHRypGcEnbnVhIW4odaJVYbbRE/jYqI6tj2IqOVzNIq+iWFEe6vdasDL8kyWaUmVmzYy/1PfsYLD17F1NvGUFBSwWfz1rJ68yEEAYb168DtV15ARGjLaXmcClabneD+D3lto1aJ3HRZf/737C0+9SlJEsH9H/K6wAxw0+UX8P7Tt/DAC99w/cW9GX1B8xTPbolKTDXszang87XHWH2oqE4Ul0oUGJIazu0Dk+gU61utXIVTx9f3U1lQPQsQBGe6fo0LQ5YF7JLT4MvgiqAps9gJ1GvYl1vJ52uOkHUwnfm/r+XAEad4UnJ8BPfeNJK7rxtW58YgA3HBBjpGBaD1UiBbFATiQwzEt0lAq1Fz702jsDogIjSQx+8cy+N3nh15CY4GDDA4XxdbIyJvjmQVNWjYATbuOALApl1HEaHZjHtLsXx/IU/P34PVjU67Q5JZcaCQtYeLeP7Kzgzv0Lg6uC3Bzz//zEsvvcShQ4ew2Wy0b9+eRx55hAkTJpyW869du5YnnniC9evXo1Kp6NmzJ3/++ScGg/skwJZEMe5nIYLgPqsz3E9DpVViXNcovp+7lJ8XrK3jDz+WVci0135k8+4MJt15GUabA61KJCHEQGyQwSe5A1EQ8NNp+PL9hxBFZxSItVpGwINH6IxDr9PQITmKg8fyPSZQSbJMn87JPvfp7aZYG5UosHLjfval59DxpASvM429ORUeDXttrA6Zp37dw/9u6dXqM/iwsDCeeOIJ0tLS0Gq1LFiwgIkTJxIVFcVFF51azkJDrF27losvvpjp06fz3nvvoVar2b59e7MUpWkKis/9HEIUnT76ysIifl6wFqibU1Dz248LN/DHql2Um+0UGq1syypjVXohVh9mnjV92rS6On37eOgZgSAITLl5pEfDXrNmcPPl/X3uMzE2DINe02C7C3q1455nvkQURdomtv5M1xufrz3WoGGvweqQ+WKtb6qYLcmIESO4+uqr6dSpE+3atePBBx+ke/fup0VL5uGHH+aBBx5g2rRpdOnShY4dOzJ+/PhW08BSjPs5hiDAz7+v85o5KooCfy/dXGeb0WJnS2Zpg/07JJlSkw1wSgu7treAjEBLcsc1g7nuot7ACTE1cPra1SqRb169s1HKjVUmK706eZcrEASBuX9sJKegDIdDYuJVnqWwW5v8CgurDxY26phVh4rOqEVWWZZZsmQJ+/fvZ9iwYS16rvz8fNavX09UVBSDBg0iOjqa4cOHt6pAmWLczzEsVhsHjuR49f9KksyxzPw622SgqMpKudnmtebqsZIql9rk4YKKZhv36UalEvn8pduZ/fyt9OqUhF6nITjAwE2X9Wftt48zbqj7GgXuMJosXPTvd1i3Ld1rO1mWqTRZiQ4P4tVH/0W7JM86398u38Orczdy8Hi+xzYtyYYjJTS2HKpDktl49PQUSvFGWVkZAQEBaLVaLr30Ut577z0uvPDCFj1nerrzvX/22Wf597//zaJFi+jduzejR49utXrQis/9HOOhV+YS4NfwY6BO596FUFBpIbCWtrsgCEiyM3Sy0Ghhb96JilfF5rpx4EvX7+W9r5exesthBAFG9OvAA7eMYmjfxmnCtxRms5UX/reQ5RsPIgoCl43oxtTbRnPTZb67X9zx4v/+YOveY15r4QJcOKgzj//7Evp0TQHA4nAulJtMZsb939fk5xZhNRopLilHpVbTrkMSUYFa1Dp/1KKA1W4nJSLQlbXckhitTauda7S0foZWYGAg27Zto7KykiVLljB16lTatm3b7BrutakJa500aRITJ04EoFevXixZsoRPP/2UGTNmtNi5PaEY93OII8cLUQcFMm54D7bvzfRobERRYEA/91EaMnXL+DkkGZvDQZXVQbnZTmKIH9nlJmwOGUetOO23PvuT/37wWx3p3z9W72bBip28/ti1TL5pRLNdZ1P4YdEmJj7xBVKtUL6Nu47ywocL+e2DyQzv18HL0Z6xWG3M/mm1W9XM2tx42QA+eGZCnUgds8XGrS/8xN6MPEqzcqgsr6SmcKndZmffzoNM3nWYHheNJDQ2itSIAC7vEUO/pGCC/VvWj+vvY53eesfpWl8pUhRFUlNTAejZsyd79+5lxowZLWrcY2OdshqdO9fNXO7UqRPHjrXOWoTiljmH+GXpNq69uB8jhvQgOMgPlZvwFVEU0Gk1jBrVG7PNwY7MUtYcLGL7sVLMNgdhhhMCYoIgIAqgU6sI9dPSNtyfrrFBXNgxmnYRztmk0WJn/fbD/PeD3wD30r+PvjaX7bUKd5xutu3L5Lbpn9cx7DXY7A4uvec9cgpKm9R3Zk4J5ZXeVSiDAw28Of0GZFl2yTVYrTbueGcxx7ILES1mp2GHOhKZkiQjORzsWLyCglITG46W8M7Sw/y6Mw+7vWUXOPq3CXX7+fGGShTol1K/QHxrI0lSixepTklJIS4ujv3799fZfuDAAZKTfY+6ak4U436OsGJ/PraYZLomhNOvQwy/ffgAUdUa4mq16DIqwYF+PDXtZjIrJPJKLNzUL4knxqVx+wUplFXaWLo3v47PvaY6U+0fURDoFB1EfLAfVVY7s39cWWdR8mREQeB/369s2RfAC1Nf+dHrfock83+v/9ykvk9WuHRH946JzP97C3a7gze+Wsrdr87nqR+3YqmqQOXnx/GMLO/js9koPZaJjLMU45frMvl01SGvx5wqUYE6hqR6lnBwx9DUcKICW7c62owZM1i8eDHp6ens3buXN954g6+++opbbvEtGa2pCILAY489xrvvvsvcuXM5dOgQTz31FPv27ePOO+9s0XN7QnHLnAP8viOb9GIz/x7ShpxyM9lZZmyyhtdeuY/v/tjMxu3piED3zslcOLwbXeJDiAnSkxTm1FoXBQE/rYrbB6VQUGlh4c5cLu0e6/2kQIeoADKKqygsr3I7K65BkmWWrt/XXJfbaDbuPNpgm7/W7GlS34kxoXRMieZARp7HaKFVmw6watMBpjw/h549Urnowr78s+84yTHh7DuUi9RQHKkgYCwqIqxtG2QZjGY723OrmjTexnD7wCTWHi7yKRxSpxa5bWDzFDc5FYxGI/fddx/Hjx/HYDCQlpbG119/zfXXX+9q0xIFsgEeeughzGYzDz/8MMXFxfTo0YPFixfTrp13LaOWQjHuZzl2h8TifYVMHdOBf44UYa5Vh1VC4PpL+9G5Rwf+3JlHgQBzNmQzcbAGuySTEn5CHkAQBFQCRARoSQrzw2KX0DUg/qISRUw2O5MnjmPZ2r1e25aWt55QlsMHDRdvImEnk1tYzksf/UF2fglJsWHcd+NwHpzxQ4PH2ewONm7ej8UhIOh1JIUHIjl8O68gnHgvZGB/bstHKnWKDeT5Kzvz1K/eE5m0KoH/XtGp1ROYAF544QVeeOEFr21aokB2DdOmTWPatGkt0ndjUYz7Wc5Hq9KZPKIde/LK6xTYhhPx213jgyiosLDlaCnIMl+syWDmjT1ZfTCfIe3rhuOpRZFuCcFsO1ZKz+qqUN4I1GlRxzb8+G53tF4URaC/vkG/uK9l8G545GN+Xbq93vbuHeLZcSCrzoKyJ3Zs20eHru3RqFWERIZQkKHG4e3mIssExtTNZq2ynp7Xc3iHCP53Sy++WHuMVW60ZYamhnPbWaQtoxTIVjhrkGQRvVZNZQNf9n4poWw9WlpdlFpmw5ESRqRFusIcT0aj9m0xrdRkRZIlYqLDyM0r9tguwK/xglXNxS2XD+CDb1d4bfPghNEN9jPh8U/dGnaAHQeyuHZsb5Ljwnnj88Ve+xEEgZLSCvYezaM4v4T2Hduwb5eHWGhBQOvnR1BcXTdZQ09VzUmn2EBevqYL+RUWNh4twWhx4K9T0S8ltNV97I1FKZCtcFZQbrbRMymEQqPFa6k6QRAINGgI8nPGtssy7M4pJzHUj0P57h/vgw0Np9ID/LEzl5cWHmDKA9fjSUJDFAUuHe57UlBzM+Ohq4mJCPa4v3O7WCaNH+q1j/JKE3P/2uK1zc+Lt/L0vZc2OB5ZlvHXqlDrtFw2qic2nZ7AMOf4TtbGV+t1tB0+FKHWiysAEf6+vT/NSVSgjku7xTC+bzyXdos56wz7+YZi3M9iioxWAnUan2uQCrX+V4vO5KRgg7ZeO0mWiQvWe03KkWUZq12iY2wgILP4YBmPTL3J43nvvWG4j6NsfrRaNXt/e4YLB3Wq85SiVolcd1FvNv4wvUFxp7e/XNLgeSRZ5uMfVzXYThAEHBKoNFrSc0oY3L0NEYnxJLVPIqF9G4IiwwiPjyGhT2/Sxo1DFxhY61jQa0Rev65bg+dROL9R3DJnOYVGC6mRAcgYPbaRZRmjxeHSgpGBPsnOeGT1SdmODkkmu9TEjtwyZBn8NCqSQg3EBBnQqUU0KhGjxUZxlY3DhZWIosCoTlF8t/44BEcRHOxPWZlzLCqViAB88vytdG0f3yLX7yt6vZb570/GarWzaU8GKlGkT+dE1GrfvgK5hWU+tTueV4JBp8FksXlsI8syQ/q2RxUWjNEWyM4jmcRGBhMdnoDRYqXMHk9UfBKiWk1GYVWdAiBh/lqevyKN5HB/n8ajcP6iGPezmOhAHT9uzmZQ23D8NCpMtvol9mrYklGCLDtlef11asZ2jq4u1uw07g5JQiWKFFSa2ZNX7grrq7I52Jdfyb58Z5KNCNReLhRFgYQwPxLDDOzLqeCpR67n+x+XIkkyQ/q0Z9J1Q2iTcOaoH2q1agb1bHxoWpd2cT6169YxgRcevIJHXv3JY5uwsCBKBD3DE4LRSzbC/JLQ+/uDBAGOCjRVJhavXYNJFgiIiyO5Yzv0eg2XdY3hkm4xjR67wvmJYtzPYvy0agxakaNFRvomhbLuaN2YZEmSEUWBA7mVbDxSggD4aVW8+q9u+OvUTt+vToMky9gdEvvyKtBrVHSLCyK9qMql/lgbT3EgV/eJ57et2fTv0ZY7xznVFnUqPJayO9uYdP1QHn9rntdIGJ1GzQ3j+iKKIlv3ZPL1gg312ggCJMeHU55xhMI2kWw8VEBkgJaqwipu6RPNbdPn1RV925nOxiVrmffuPYxWDLtCI1CM+1nONb3i+GDpEZ66vDPDUyM5VlJFVqkZmyShFgXS840cyquke3wwA9uFM65rjGuxVBAEp5SJLKNWqegSG4wsyxwqrHRr2L2hUQn0bxdGqJ/Th68Rzx3DDs66rE/feynPzPzNY5sZU692+e6n3DKKiioLvy3bUR2RBGltY1j15SP4+dWvyrN17zEG3/Sq2ycvm93BFVM+YOcvT9M2MbK5LknhHEepoXoOcCCvAqsD2kYEeJUB8IYsy9gcEmqVSGGlhVA/LQJQWGXlSJGRIqPVpz4u7hSNv1Z11lRlaizvfrWEZz9YgMl84ubnb9Ax4+Gr+fd1QwCYv2w7Nz82G8A1CxdFAUmSuWFcX2a/cGu9Bdxht77Gxp3eQ/Suu6gPX7480e2+lqyhWkNWfilL1+2jvNJMUICeURekER8V0uT+FJqGUkP1PKJDdCBmuzN6RVOdyXhySJ2viIJARIDOFVUSFaAjJlDP3txyDhd5XrStOafNIZ+zhh3ggQmjeWDCaBat2sXBY/l0bhvL6IEnFDaLSiu5bdpnOCSpjhxBjTzDd39sokeXNlx5UV+ig/T4aVXY7Q427Wo49vr3lTub/Xp8YfPuDF799C8WrtyJvVainFotcsmwbvzfHWPp06V1xLEUPKOEQp4j6NUCAVoVZaaGZ9jukDlRSal2uGDN751iggg5KfY91KCpZ8gNmvPjI3Xx0K7cf/OoOoYd4JOfVmOxObxWpXruoz+58ZNNXPzOP7y86ADZJUafqljZbKc/y/fXpdsZfcdbzF+6vY5hB7DbJebX7F/mPrmrNSgtLWXy5MnExsai0+no0KEDCxcubFQfubm5TJgwgZiYGPz9/enduzc//VR3kfzAgQNceeWVREREEBQUxJAhQ1i2bJlr//bt27nxxhtJTEzEYDDQqVMn3nnnnXrnslgsPPHEEyQnJ6PT6UhJSeHTTz9t2sXXQpm5n0OIIsQE6UgvMhJq0GHQql0FNxrC5pDIqTCTHOrntr0ky6SE+bEt60RIYK+EEKwOiXVHi7FLMhH+2vPGuJ/MzgNZvPTRH/yyZFuDbc3l5ciShBWR37bnsOFIMRq1Cpvdu/GOjji97sbNuzO4bfpnWBoo3GGx2rl12mcs+fThVp/BW61WLrzwQqKiopg7dy7x8fFkZGQQEhLSqH5uvfVWSktLmT9/PhEREcyZM4fx48ezadMmevXqBcBll11G+/btWbp0KQaDgbfffpvLLruMw4cPExMTw+bNm4mKiuLrr78mMTGRNWvWcPfdd6NSqZgyZYrrXOPHjycvL4/Zs2eTmppKTk6Oq/jHqaAY93OQtuH+WGwS2zNL6JYQ4rGdJMnIOMMjtSqR46UmLDYHHaPrGxFREFyLpQBxQTr8tGr0skyXmCC2Z5fRMers0BdpbtZsO8wlk97zWtqwHtU3UIcMueUWOndvz/Yt3pUzH/JBIqE5efXTvxo07DVYrHZe+/Qvvnvj3y08Ku98+umnFBcXs2bNGjQa55NmSkpKo/tZs2YNs2bNon9/Z5WuJ598krfeeovNmzfTq1cvCgsLOXjwILNnz6Z79+4AvPzyy3zwwQfs2rWLmJgY7rjjjjp9tm3blrVr1/Lzzz+7jPuiRYtYsWIF6enphIWFNXm87jg/p1nnATqNyPbsMjJLq+rVRM2rMLPmSCEL9+byx95cVhwq4FhJFb0TQjhSZCSv1L0kQU03OrVAj3hnEpQoCMSHGPjoo1/Iyylo0Ws6E5EkiTue+AKb3dGgYFgNATHRdZ6OJBnENh0JCvC8OJbWNoZ7b2jZIs+1ycov5fcVjfPx/75yJ1n5pS0zIB+ZP38+AwcOZPLkyURHR9O1a1deeuklHI0Urhs0aBDff/89xcXFSJLEd999h9lsdqlJhoeH07FjR7788kuMRiN2u53//e9/REVF0adPH4/9lpWVuYx4zXj79u3Lq6++Snx8PB06dODRRx/FZDp1FVXFuJ/DhPrpMNmkOuF16YWVbDxWQnHViWiPSquDnTnl7M+vIMxfy/LDJZhPqlwjyTJ5FWbUAgxuE1GnSo8oCKQmRHLzox+39CWdcSzbsJ+M7GKvevYnE9WxY71tklrLjzPvp3+3lDrbVaLA1WN6sckHiYTmZOm6fT7frGqw2yWWrWs93X5wFqqeO3cuDoeDhQsX8tRTT/HGG280KAN8Mj/88AM2m43w8HB0Oh2TJk1i3rx5rvJ9giDw999/s3XrVgIDA9Hr9bz55pssWrSI0FD31ajWrFnD999/z913311nvKtXr2bXrl3MmzePt99+m7lz53Lfffc1/UWoRnHLnMPIyBRUWlzukgqLjT15nnXAs8rMxATqqLA4+H1PPv/qlejsR5YRgAqznSHtIvBzU30oNCyQ9OOFZGQXkRzXuAo+ZzN703MRq4uI+8rJ8r01fPnLP6z48lFyC8vZtu8YGrWaYX1S0WhO/9e0IYlkj8cZm3ZccyFJElFRUXz00UeoVCr69OlDVlYWr732Gs8884zP/Tz11FOUlpby999/ExERwS+//ML48eNZtWoV3bp1Q5ZlJk+eTFRUFKtWrcJgMPDJJ59w+eWXs3HjRldN1Rp27drFlVdeyTPPPMPYsWPrjFcQBL755huCg53icW+++SbXXnstH3zwAQZD/ZwIX1Fm7ucwsYE6bHYHxVVWJFnmWHFVgyJjpSYbDoeEqBIxV2uM17gQesQHE6Crr0bokGR2HcwGYO229Ga9hjMdf72uUYbdHbIkUZGby9zfNyBJEjERQVw8pCujL0hrFcMOeHUReT3Ov/WkncFZqLpDhw6oVCcKdXfq1Inc3FysVt8iyQ4fPszMmTP59NNPGT16ND169OCZZ56hb9++vP/++wAsXbqUBQsW8N133zF48GB69+7tMsZffPFFnf727NnD6NGjufvuu3nyySfrjTc+Pt5l2GvGK8syx4+fWt1hxbifw/RKCMUuyWw6VkKlxU6Z2eZRe6YGs12iyiqhEiCz5EQpt5r6qScjyzIZxUbWrHOWqQsJbPpM42xk3LCujSokbTjpkb1mPSRv914sNjsVxpYt5Owroy5IQ91IzXi1WmTkBWktNCLfGDx4MIcOHaoTbXLgwAFiY2PRausroLqjqsr5uT/ZDaZSqVz9emojimKdc+/evZuRI0dy22238eKLL7odb3Z2NpWVlXXGK4oiCQkJPo3XE4pxP4fx14uY7RKyLLPqcCFWuw8+VBmySkwIblwNDkl2GaOafYVGC+98s4RKowmNWmTs4M7Nfh2nQnFpJbmF5c0SWuaOmIgg7vzXYJ+TxuJ79USWJFfdVMlm4+iatRgLCxFFAX83EsytQXxUCJcMa5ys8KXDurV6xuq9995LcXExDz74IAcOHOD333/npZdeYvLkyT73kZaWRmpqKpMmTWLDhg0cPnyYN954g8WLF3PVVVcBMHDgQEJDQ7ntttvYvn07Bw4c4LHHHuPIkSNceqlT03/Xrl2MHDmSsWPHMnXqVHJzc8nNzaWg4ETgwU033UR4eDgTJ05kz549rFy5kscee4w77rjjlFwyoPjcz3n6JwSxMcvpZ2+oWhPUqEM6f48OdD5iO6UJZIqMFtQqAZ3aqUB5rKSKlZsO8PWcvwG4/erBTV70W735IDPnLMdostK/ewqP33ERWje+fV95ZuZ8Pvh2BZVVzpmwRi1y1ehefPrCBNRqNWu3pfPeN0v5e+1eJAkG9mzL/TePbNLN6bXHrsVosvKNG6Gwk8ncuInghHhEtRpLeTmlx48jVxv6y0d2R61WNdDD6eP/7hjLn6t3+xQOqddpeOyOsQ22a2kSExP5888/efjhh+nevTvx8fE8+OCDPP744642n3/+ORMnTqwXRVaDRqNh4cKFTJs2jcsvv5zKykpSU1P54osvuOSSSwCIiIhg0aJFPPHEE4waNQqbzUaXLl349ddf6dGjBwBz586loKCAr7/+mq+//trVf3Jysqs4d0BAAIsXL+b++++nb9++hIeHM378+EYvALtD0ZY5D/htRw6W6nfZW1KTLMv8uTOXIR0iCNBruKzLiUWh/fkVHCyorHfM9Cc/4vjxAsYN7coPb9+DKDiLczhkZ+ikIIBK8CwiVlhSyeCbX+VYTt0SfaIo8Ppj1zapyMfV989i0erdbvclxoTyyB0X8vCMH1CJois2vab26fR/X8zT910GwC9LtrJ933HiokKZePUFDWq/7z2cw73/ncP6HUcaPWaNWsX676bRqV1sw43d0FLaMvOXbefWad4TmXRaNV++PJErRvZo0thPN8888wwrVqxg+fLlrT2UJuHr+6kY9/OEHcdLOFDkjGSoMfC133pJhnWHCumaGEKgTsWI1EiCDFpkWabSYmfl4UK3/vpffljMAzePpHuHRK/nVwmgdqMUmTxmOvlFniN4vn39Tq4a3cvn6/x9+Q6uffgjn9u744GbR/LR3NWYaxXcUIkCd48fypuPj/d6rCzL3P6fz/lh0WbXNlGtcrphPHzVQoP8+OmdSQxsgs58DS0pHLZ5dwavffoXv7vRlrl0WDceO8u0Zfr378/MmTNdCUpnG4pxV3DL1uOlOBxgkyTyK60UV1mpsjjQqkVC/DT4a0UGJIfjr9M4V+xLTezKKcfh5mMiABd2jELroytBJYCmVtOv5q/j7me+9nwAzpn2gT+e9/n6+l8/g50HsnxufzKi4LzReeL2qwYy65mb62232uz8tnwH/2w5TFmFie/+2kJUx46Et2uHWq9DliRKMzPJ37sPc1k5/gYtN1/Wn4uHduGiwV1OOYb9dKlCLlu3j3KjmSB/PSMVVchWQVGFVKiHyWrHZJPpEhuEzSHTM0FFudnOocIKcsstyIAgiORXWolXiXy2LoNgg4YAff2PiQDEBet9NuzgdNWo5ROz9w++Xd7gMZm5JVRWmQnwa9goyTIczSryeTzuaCgX6fNf1jLj4asJCfJzbdu2L5NrHviQnIIy1GoRlUZL+9Gj0QUGuApbC6JISGIiwQkJpK9YxWv3XMjEawad0lhPN/FRIdxyxQWtPQwFH1GM+3mAwyHx5z97+XbZLlQqkcuHdWVU3/bkVZjZnFkK4HK5GK0OdueWk19hIa/UzHfrMmkfE8CFXaIxaE8YchloFx7Q+LHIoK427r4myuQVVfhm3HH6rluaF/+3kNceu5aC4gre/3Y5b37+N/bq9Ha7XSK6R6c6hr0GQRRBkug8ehi3XDGgxcepcH6jGPdznO37s7jhkY84mlWESiUiy/D9Tyvo2SmJO+++ipBQ92JfBUYLA1PDWbqvgIN5lRRVWrl5YBLaWrHPORVmggz1k5p8JSEmlPTjhQ22S4x2n859MrIMowZ2Yu6iTV7bhQT6UVpR5bWNN45kFfLTX1u448kvsJ1Ut1ZUqwhLaVPPsNcgiCJWGVYfLmZkx9NbVekc8cCe9/j6PjbK0Tdjxgz69etHYGAgUVFRXHXVVezfv9+1/+jRo65kl5N/fvzxR4/9VlZWMmXKFBISEjAYDHTu3JkPP/ywMUM7r8jILuLxN36m3UVPEDPsMUZPfJPv/9hUTwskK7+Mi+9+h8zqSBSHQ3LFe+/cf5wXX/4Kq9VzOT179YdIlqGo0squ42V19h8rabyBrL2e+tyUyxts36tTos8hkYIALzx4TYPVqNonRzW5YhWASlRx2/TPsNnrFyTX+gcgNvD0oBYFDuV7L3zSnNSoI9Yk3iic3dS8jzXvqycaNXNfsWIFkydPpl+/ftjtdv7zn/8wduxY9uzZg7+/P4mJieTk5NQ55qOPPuK1115j3LhxHvudOnUqS5cu5euvvyYlJYW//vqL++67j7i4OK644orGDPGcZ932dC67dyZmq91lzNdtP8Kaben8umQbX71yB6rqQPVZ36+kotKEw40j2SFJ5OaVsG79HoYNdR/C5pBk9BoRs815nh2ZZfROOTGLtviSFFXrfHa7A12tmf4FPdoysn9Hlm3Y7/YYlUrk85du9/kcouBMKvr+zXu4Yer/cLhJXHp68hUM7dWWqx+YhdFkdc2CarJMRVFsUFfdYrU7o43cvK6SD+qDkiyja2T256mgUqkICQkhPz8fAD8/95r9Cmc2sixTVVVFfn4+ISEhdSQW3HFK0TIFBQVERUWxYsUKhg1zL0faq1cvevfuzezZsz3207VrV66//nqeeuop17Y+ffowbtw4n4P5z4doGbPFRvtxT1FUanT7aCbgLNL84ITRyDJ0vPRp16zdHYIg0KVLCo8/epPHNu/8dRCbw3kuvUZkyphU1z6NKHBRp5g67d3F0TscTmXKe5/5kk+fn4BGU/dD+e+nv+Lb3zfWMcbJcWHMfWcSXVPjPY7NHZIMVgdUma28OOs3/lq9G4ck0atzMi88dDVJ0SGoRGc5vC9+XceStXtxOCSG9Ell4jWD+fb3DTz17nyP/V88tCtL1+3DavMc9512ycVoAwK8GtBv7+pLmwj/Rl2bNxr6/MuyTG5uLqWlpc12ToXWISQkhJiYmAZv0Kfkcy8rcz6m19Ynrs3mzZvZtm2bS2zHE4MGDWL+/PnccccdxMXFsXz5cg4cOMBbb711KsM755i3ZBuFJfUTiWqQgVc++ZP7bx4Jgkh5hXdNaFmWMXpZ1CyssLgMO4C/ru7HpaKkDEGOQhZOzEJzC8ooKKmgS2q86wliw450Xpj1G2u2HuaGcX24dHjdtPaP/zuBWU/fyPxlOyk3mhnSqy2pye6VExvCWXgERL2WFx/+Fy8+/C/AeePTqHCVBQwPCWDqbWOYetuYOsc/OnEsVSYrr8z+s56M72Uju/P5jDuJHPig1zHk7dlL0gD3MdSyJHFBm9BmNey+IAgCsbGxREVFYbN5dsUpnNloNJoGZ+w1NNm4S5LEQw89xODBg+natavbNrNnz6ZTp04MGuQ95Ou9997j7rvvJiEhAbVajSiKfPzxxx6fBsBZd9BSS3O8vLy8aRdyFrHOB8XFkvIq4kc8ztvP3kZ0TBgVh7M9qhaKokhcrGd53pX76y52dks4oVwnyzJPvzyHB0srWP7FI5gtNu548ksOHytAlmXCgv2JiwqhuMxIdnUBB1EUOJzpvqCHWq3mmgt9T1byhiiAVu1cK5BxGvbGeCGevu8ypt11Me9+s5S9h3OIiQzmkdvG4B8QgAyktY1lX3qux4WtkqMZaAwGYrp1rZO4JIgilQUFLFq7Em7seSqX2GRUKpXPxkHh7KbJxn3y5Mns2rWL1atXu91vMpmYM2dOHVeLJ9577z3WrVvH/PnzSU5OZuXKlUyePJm4uDjGjBnj9pgZM2bw3HPPNXX4ZyU5hWUNNwJCwoJQh4czfHgvDhzynNAjSRLjLnRfNWbJnnzSC5yLfoIAwQYN3RKcj/uyLLNp0z5ycpwx5UNveY0/P3mIQxn5ruOLy4wUl9VdNJQkmeCA06caKQg0KHHsCa1WzaMT62qlWB1OW333+OE8POM7r8fn791HScYxwtqkoAsMwGGzUXosE2NB4Skt5ioo+EqTjPuUKVNYsGABK1eu9ChLOXfuXKqqqrj11lu99mUymfjPf/7DvHnzXGpq3bt3Z9u2bbz++usejfv06dOZOnWq6+/y8nISE72nwJ/tJMX4FhKYl1fMmPYRDEgawe5t+1m35ZDb2fttVw3inkv6kFdpIbfCjEOSCdSp+XlzFlszSl3tUsL9uLh7DFq16JT4PZbHJ5/97tpvsdpZsHw7bRMiOJJV6CnLHo1axWUjGqc0eCahqs5enXDlIH74YyNrtx322t5WVUXe7j31tisRiQqng0YZd1mWuf/++5k3bx7Lly+nTZs2HtvOnj2bK664gshI77G8NpsNm83mVTvZHTqdDp1O15jhn/UM79+B979d0WA7k9nGkeOFdGwTw8/v3sdrnyxi9txVrtju2Mhg7r9lDJNuGO50zQQbiAs2OFfjbQ7aRQdwqcYZEx8XoifE3ylDazZb+e6HpaxavR3rSUJSc//cwn/vv4Jbp33mdkwC8MAtowgPaXzi05lCjSjaz39tbtCwe0N3Bik/Kpy7NMq4T548mTlz5vDrr78SGBhIbm4uAMHBwXW0hw8dOsTKlStZuHCh237S0tKYMWMGV199NUFBQQwfPpzHHnsMg8FAcnIyK1as4Msvv+TNN988hUs79xg7qDMqUXAb2ngyoihgc8gcKTHRb1Q/ugzqSWFBCXHBfgzrlkRgtSgYnIhwMdkcrD9ajL9eTae4uhEXsixzOD2LJUs3uzsdJrON6y7qQ4XRzKOvzcVssaFWqXBIEgIw5eaRPsW1n8kIAmTlFHL301803NgLFrvdqzqngkJz0CjjPmvWLABXBfAaPvvsM26//XbX359++ikJCQl1agXWZv/+/a5IG4DvvvuO6dOnc/PNN1NcXExycjIvvvgi99xzT2OGd86j02q4clRPfv57q9d2oSEBmDU6Vh4uwFwdi67RqImNcz5F/XO0mAFJoYiigF1yarXnVpjJLjN51FaRZZmduzxL2SbFOiOm7rhmMNdd1IefF28lI7uI8JAArrmwF7GRwR6PbWkkSWLR6j1k5ZXSt2sSvTolNbmvR1/znIznK4H+esWwK7Q4iirkWYbD4SBkwMMuHXJ33Hj9aC4Z13wCT7IsY7ZYmfro+1RWug+vXPjh/Ywc0LHZztlcPDNzPm9/uQSr7URyUWRoALNfuJULB/lemEOWZVZuOsglk9475Zqp91w/jLemeZcObizny+dfwXeUMntnGSqVij8/frBexEXNRHDYkB5cfFHzilKJgsCsD+Z5NOxjBnZqFsNeXFrJwy//wOX3vc9dT33pMWzSVx546Xtenf1XHcMOUFBSyRWTP2DxmvqLne6QJIn7/juHi+9+95QNu1otMkFRVlQ4DSgz97OU/OJypr35C7uO5FNeaSI2NpyRI3rRKS25WR/5wwwa+iSFYjSauPmRj1m//bBLT0WvVXPHvwbzxv9dd8rnmfLCt8z+6Z9624f2SWXRRw80Wu+8sKSSxFHTvLaJDg/k6N8zGuzr7S//ZvpbvzTq/N7QqFW88OCVPHDLqGbr83z7/Cs0jGLcz2IcEszfnevTAmtT0IgCw9pF1pH6NZmt7DlwjAA/Hd06xJ9ykQmA/7w9j7e+WOJx//C+HVj08QON6vOBF7/j47nuczBqs/HH6V4lDrbuPcaQW16rl63aHHzy3wncfHnzPGWdj59/Be8obpmzGIcMbmvfNRM2SWJrVglQnb4vQoi/lsG9U+mRltgshl2SJN77ZpnXNis2HfCqkeOOg7USqryxdU+mx32FJZWMu/vdeoY9ICoKffCpLxA//+HvXsN9FRROBcW4n8VIkkSon6bJWZgNI1BcZcNqt6FTg8pNDdRT5afFW+vU5fTEy58s8rq/ssrClj3H2HUwC4dDIjzEN+2WRC+JYZ/NW0PZSdo7gTExtB0xDKEZUvgzsovZvr/pJQEVFLyhFOs4i7HYHLQN96fQaG3UcY2Nsd6bV8mAZN+yYxtLVl6JT+0KPAimlVeaeHrmb3z5y1pM1QWtYyODuenSfg32adBrGNHf80Lwz4tPCjkVIKGvU64hICoSU0nJKaebVhp9q0aloNBYlJn7WYxKFJGBEDc1TmsQBAg1aFAJtbc1bvqdW25puFET6d3Zt5jztDYx9bZVmaxc9O93+eTH1S7DDpBTUMYbn/9NZKj3bNjH77zI9XtllYXcwjLyi8oxV/dVWVXX8AZERqH1d2qhh7dr59O4vSEIAu2STm81JoXzB2Xmfhbjp1Xxy+aj6AP8PLaRZSgxnZrEq02SsTsk1KrmnwsM69uBoAC913qqgiAw7a6L623/348r2bH/uMfwxIKSStLaxrAvPbduf8CDE0bx+F0Xs2TdXl74cCHrtp9I0BIFgTED06gw1r2paf1PvM66AH+SLxhAxrr1zg01YxAEn2bzKpXIxYM7ExcV0mBbBYWmoBj3sxzhNOmUtOSy36ynb+bm//NczOXh20bjZ9DW2/7xj6u9xp2rVSLD+3Xgm1fv5NXZf1JcVkVa22ienHQJQQEGvvhlLfc890294yRZ5q81e+ttt1vrur9CkhLRBwdTePAg5Tm5IMv4R0ZiKivFUuZZglqlEgkN9OO1x6712EZB4VRRjPtZjCiCTlff6DU3erWIpgVlaq+5sBffvn4n9zz7Tb0FzAt6tPUYD34s23sEjd0hcSSzkM7tYuuV68stLGfy8982apwVubk4rFZU2hOvuT44yOWHl2UZm8nE3gUnFDPvvX4Y63YcYeteZ1SOVqNi/MV9ePKey0iOc1/kRkGhOVCM+1mMLMvNH77ihg6R/i2uhdI2IRJJru/V2LjrKINueoXlXzxaL7IlKEBPSbnnos+iKGDQa1x6OQKw+1AWf/6zh6Xr9rmtseoN2SGRt3c/cT3cyxYLgkDO9h0gO2fnowZ05M1qmYHiMiNlFSYiwwIJ8Du/1EwVWgfFuJ/F2Owtn38WE6gjNbJlS8LJsszEJ76gymSp5652OCTyiip4aMb3/PROXSG5Gy7px0c/rnIVCj8ZSZL5bdl2+o9/Ca1WzaGjeVRUWRBoenpAUGw0siQheIjxF0QRlUokOjyQ9586UZs2LNifsODTW1pP4fxGMe5nIRarjcKSKo5XtmwtTJUAg9qEIrbwrH39jiPsOZzjcb/DIfHHqt1k5pbUmb0/OGEUX/+2niqT1eMsXJJh96HsOtuaatgNYaEEREV53C/LMrFdO3PbsPY8dOsoosOVTFGF1kMx7mcRmbklvPzxH3yzYAMWqx1RFOjXN42rrhxKQnzzh9Q5ZDBaHQTqWvZjsvNAw4k8siyzLz2njnFPjgvnr08e5IZHPiajAf97cxAUG+t91i4IaPwDuH9if6JDTl85QQUFdyjG/SzhaFYhw299g6LSSpeWjCTJbNy0j23bDvHlW/fQITWBXTnNWyi8wmyvY9z3HM4hr7Ccbh3iiWggjtxXDDqNj+3qLh7P+3srb3+55LQYdnC6XGoKbnvD6jgn5JoUznIU436WcPv0z8kvrqi3XZJkbHY701/+jnU/PEl2mZniqsZlrHpDXZ399O5XS3jxoz/qxKN3bBPNVy/fQbcOnoW3fOHCwZ1RqUT0WjXXjO1DhzYxGKss/LZ0m8ulEhrsR79uya5jnn3/N1755M/TWvTCVFLSoJ6On1ZFbLD+NI1IQcEzinE/C/j6t/Ws33nU435JkknPLGDD9nQG92nP/vwKDha4T9dvDFqVQISf1qNq4/4jeQy88WXWfjvtlAx8dHgQb027nmvG9sXPoMVmdyAIAo//+xIWrdrJXU98xiO3X4hO65zhr92Wziuf/AnA6RQ1LcvKxmYyo9bpENyEhooCXN0zFp1aSfxWaH2UT+EZjs3m4NFX5zbYTgD2pjsXJTtGBRLhf+rx752iAykuM3qV43VIMjc++skpncchwYQrB2HQaxEEAa1GjaY6OWvMoC4s+fwxpt42xtX+fz+sbJFs2QaRZfI3b0Stoo6cAzhDONNiArlrSMrpH5eCghuUmfsZzsJVuyjzUAGpNjLgX53FKckybZogKFaDAHSKDiA1wo/7X/yuwfaHMwvIyishPrpp4mJ2CRAE3OVJqVUiHdvG1vF1b9lzzGuZwaagVYtYG1CnDA/x59hvT5BRbOLbDZn8tScfk00iNljPv3rHcW3vOPSa05MxrKDQEIpxP8M5cCQXtUps0JipVCJjh3QFnNoo4X6Nn7mrRYG0qACSwwwYqo2UtxDF2mzandEk4y7LvoUmOiQQq+2mQe/bAmxjuHBwF35fsdPjfoNOw5pvHkcQBFLC/Zg+riPTx3VstMKmgsLpQnHLnOEE+Ot9qrT0r7F9CA85Eb3SFE9015hA0qIDXIYdIMDPt8XByLDTF9N9+Yie9WrIngqiIDCifwfenj6e4MC6IYyiKHDNhT3JXvEKSW7kAhTDrnCmoszcz3AuH9mdR1+b61VoMNBfz3tP3ez6W5JlCiobL9ObHFY/NvvBW0Y2WEjaoNMwqGfbRp+vMdS2obdeNZh3vvqbyqrmkSKWZJlRA9Lo3C6W268ayNL1+ykuNZIcH87gXu0UA65wVqLM3M9wEqJDufXKgV6zRN+cfgNazYn7tCgIHCkyNuo8alFA7WY2PHpgJ5JivbtbHpzQ9ELPglB/cdIdtdtEhgfSJqF5krZqNGA6t4sFQKfVMG5oV26+fABDeqcqhl3hrEUx7mcB70wfz43VlYVUKhGNWoUoCGjUKl5+9Fquvagv4JyByrLMzuyyRmu42yWZ/Er3C7A/vXMPKg9ukEA/HffcMLxR5zoZteg9MUhzUnm/OQvWsfPA8VM6Z01/ndrG1FOMVFA4FxDk0xko3IKcD9XfD2bk8eOiLRSXGwkMCaJ9t/Z0TYogKlCHKAgUV1k5WlxFpcXepP47RPrTPa7+a3fRv9/hn62H3Qp0qVUiFw/tyo9v3d2kc9Ygy86omdrJnQJOw39y1GOXy58l/Xhhk84jigJdU2OJDg/mxsv6c82Ynq74+bOZ8+Hzr9A4FJ/7WUT75Gj+M2kcADuzy9lfYORAQSUHmiFhCcDduu2+9FxWbjro8Ri7Q+L3FTvriXo1FkEAjQrU1dEzAp7VjDNymiY3oBIF7rpuKG9Xy/AqKJzLKMb9LCXQS93UphLmV38Gu3l3RoPHybLMtr2ZjTLuDofEqs0HycorJTIskJH9O6LRqBCEhrVbmlKUWhQFggIMPHzrmIYbKyicAyjG/SwlKdTApswyn9r6UtZTBOLdaKKofSzjp2lEub8Fy3fw0Ms/kJVX6toWERrAjIeu4pYrLvB67K9Lt/kUGnoy3drH89mLtynVjxTOGxTjfpYiCgJq0emnjg/WEx2o53ipiTKzDUt1pmWoQUO7CH+CDVqWHMj32t+AlBC3i6Yj+ndApRI9FsQA0Os0DPQxFHLRqt2Mn/oxJ0fiF5ZU8u9nvkaSZW69cqDbY5dv2M8Nj/gmdSCKAhOvHkSfzsl07xhPny7JDR+koHAOoRj3s5gIPx25lRY6RAXip1ER7q/lWHEV+ZUWLHYHZrvEocJKIvz1pIb7c8hDeGT32EDig93rj0eHB3HLZf356rf1SG5mzKIg8O9rh9RL/nGHLMs8+vpcr2Jf09+ax/Xj+rpd5PS15umQ3u34YsZE4qJCfGqvoHAuohj3sxirJKFTi/hr1eRXmNmUWVJvUdRkg1JTJQJO1UJ3Ho3EUO+G+a1p48nKL+PvtXtds/gaSYQrRvbghQev9Gm885du4/CxAq9tisuqWLxmL5eN6F5ne3mlyacImU5tY1g8+2GfxqOgcC6jGPezFIdDprjKhl4tYrTa3Rr22sh49rvnlptpE+65vqdBr+XXmfeybMN+vlmwgZz8MhJiQrn1igsY3DsVGQGbw9lWFJw/J0e6SJLE7U984dO15RXVLziSnV/q07E2u8OndgoK5zqKcT9LKTc7E46iAnQcLTI2JYDEhS9ZmKIoMvqCToy+oJNrmySD9SRb6pCd0S5aVV0D//63yzH7GH/vzp2S4GMkTu26pZIksedwDiaLjfbJUYQE+vnUhzfm/rWFp979laNZRYBzvWH8RX1474kb0GqVr5PCmYPyaTwLsdnsLDlUjChAp5ggVqUXNrnoM0BcUOMrB7kz7DXIOPfVNvBf/brep34FAbeFPwL89LRPjuJghveF4ScmXYIsy3z68z+88smfZOaWAKDVqLlkeFf6dUlGr9PQv3sb+lYvsqZnFvDRj6v4e+1eHJLM8L7tmTR+GJ2qJQlqeO6DBbz88aI628wWG1/OX8fitXvZ+9uz6HwsGaig0NIoxv0s5Lc9BQiAn0aFRiW6Xej0hEDdOJUIfw3aJlQOakhOXcZ5A6jRhDFZfNOWl2X46td1TL97XL19Hz57C2PueNPjU0r3jvGMHNCR/36wgBknGWGrzc4vf2/jl7+3IQgCsizTu3MSt181kKmv/ogs44oIOpSRz0c/rubDZ25yRe5kZBfVM+y1ySko486nvuTrV+/06ToVFFoaRVumiVjsDnbnVPD3gQL+PlDA7tyKBos9NAc2mx0Jp/HUa1RIskyon7bhxJ9qAmoVu9arRYa0aVrcty81oGvfADq2ifa57x8WbXa7fVDPtvw68z6C/Os/aYzs35F/vn6M9MwCXv7EsxGGE6X5tuw5xgMvfY/dLtUJ9bQ7JGRZ5p7n5rBtXyYA0978ucFxz1+2/bSW/VNQ8IYyc28ENYUljpcY2ZBZd9Gv1FTJ3rxK+ieGEhusRyV6T6FvKkeKT1RlqrTYKTNZSQ7zI6fc7OWoE8QH6TlUWEnbiAC6xgZ4VZs8VWqbuZcfvprfV+zy6bjKKs/XcuGgzuStfp1Fq3axcvNBgvwN3HXtECJCnVr2n/+yFlH0HpfvK6Io8MG3K/jouVvYtq9hoTLb/7d33uFRVG8bvmd3s+m9QBJCCB0EaSJSpElTMYKoyKeiiPhTwY4IKiKKomJXQFFQREAEpBcRIXQQ6QEJEDokIb2X3Z35/thkySZbUyjJua8rl9mZM2fOLPHZs+95z/PqZa6kZZvF/QWC64UQdweQFdAZropVsLcHHeqpOH4lm9ziwLNBVtAbZPacT6NXk2C0ahUgoVYZQwAKCu4aFWqVVGHBVxTILboqWgV6mfiUXDpE+NM02Mshj5kruYXUcZNoHuJtsaydo5QN71iidP+NI+swYnBnflq2y+Y1arWKlo3D7N5/wJ2tGHBnq3LHz1xMqbLZs8EgsyrmMAAatWM7cN1FzF1wgyDCMnYoWThUSkmZJEnU8XGjW8Mg3Irj1WqVRG6RgR0nUkjILECrUaMtFnONWoWLWo1ekSg0yBXKbFEUSMvXl6tAlJRTyMYTVziV4ph5WHqejne+WcmAUV+g11fMPRLKOzU60mbGO48yYrDl3aclGAwyzzx0Z4XH5e/jUaXfRjKy8khJz+Ge7uU/SMri6+WOj5f9zVwCwbVAiLsNlOIZO2blmY2oJOOsvF09P9Mxfw8X/tejEY2DvbCGokjoK+CNojcouKiN15YeiaJAoV62meNudn9g3744dh2Mp9tjnzo9jhLUku0/HrWExW8G0yf+HyOHdLV63bB7OjokpNZ4eMBtVV48+5WPfmfS8/eisfOJ9tLwihctEQiqGiHuZTDICufS8th0MoXtZ9KK5+uWZ4IqSSLQ0xVPrfEru1ajItLfw2beuCRJ5OlkknN0XMwoJD4lnz3n0jlwMdOqD7uiQHaRgYw8HbeE+lKB5JZSfSnk5xvL0x2Ku8juQ6cr1I/JorfMWCSMxTVcrEQxJEnim7ce4asJQ4kKDzQdrx8awLTXh/Dj+49XqvpR1/aN6HV7M6vFRSrCkg37eXTcbJZ+9T/UKstv/uC72jJhVPkMH4HgeiFi7qXIKdQTcyqVguKsl/r+Hg5Vt/fUasgtMhDgoXWocLOrxpjC6OVqrIDk5qJCLyvEXs6mcYgnQZ5aU9sCnQGdLOGh1WCQFWRFIdzXnbPp+TbuYJ2srDyz1x98v45VM0ZXqC9JAo2FMnn2tFmSJJ55+E5GPdSNhORMFCA0yAeVFeF0bkwSv3/xDKPe+YXlfx8yjkWpWMHw0qzffoys3EIubJrKW1+tYN22WHQ6A1ERQUx5MZoeHZtVeuwCQVUixL0YWVHYGn9V2MGYEufILFInG69xNtZ7IjkHrVpFhL87GpWKOt5uyIpCWq4eSaI4//xqbVMvVw2SJOHj5gJUTNyPHjtj9jolPbtC/ZSmohNtSZKqxdzLy8OVhZ+O4tS5K6zdFktefiHH4hNZv/0o2bmOZRVZYueBeM5cSmHGO/9XhaMVCKoHp6ZKU6dOpWPHjnh7exMSEsKgQYOIi4sznT979iySJFn8Wbx4sdV+rV0zbdq0ij+Zk+w8k0aezjxWeyWn0OoGoaycfF7/5HfaRL/DiOc+5+NpCzh04qJDmRqKopCaW4hakqjn60ZWvp5/z6dx8GI66XlFaF1UuKhVJGQVsO10Kuv/S+Lw5Qxyi4xhmyAv1wo9o1YtsWnzfrNj4XX8KtRXdaAoxtx4ncFoZVyBpQkzGkeG8OJjvRk/6m5++WgE5zZ+yOIv/mcqKlKRhdfPft5YuUEJBNcIp2qoDhgwgEceeYSOHTui1+t58803iY2N5dixY3h6emIwGEhONnf9mzVrFtOmTSMhIQEvL8sLjYmJiWav161bx8iRIzl16hQNGzrmE16ZGpJHLmcSl3w1XJGUWcCVzEKe6BJJmAUr3C3/xDHkxekWc6n/7/4ufPvWMKszfkVRiotRF3LgYobpeOtQHyIDPM3CQMYUSvj3fDrJOYWoVBKdGwTg567lv8Qs4q1Y+Fp9ziPxfPLZb2bH9i6eQKvG5bf7X2sMMugsrIOqMMbvqzIdP7+giN/X7+PXVbuJO5NEcrrjZQo73dqAmLljq24wVYSooSooi1NhmfXrzXf+/fzzz4SEhLBv3z66d++OWq2mbt26Zm2WLVvGww8/bFXYgXLXrFixgl69ejks7JVBlmXikvNwUUtk5+tZceAyF9Py+WF4B0K8y8+Qs3LyrQo7wIIVO+l+WxMe7n8bgJlQA6TnFfHvhXSzuHq4rzuRAZ5m7U2/KwodIvzZeCIJnUFh34UMejUOIirQ0ylxD/bSlhP23p2aVZmwy7LMvFV7iPknDg83Lc8N6+Fw37JiWdgBZMr71FQWdzctTwzqzJETl9i+P96payWH9wILBNeXSsXcMzONZd4CAixvYd+3bx8HDx5k+vTpDveZlJTEmjVrmDvXtj1sYWEhhYWFptdZWeVtYh3hSGI2EtDA34NJ246RlFVIx6gAGodY/jB6b/pKu7sfx3+2lHYdmtMgwBOX4sBXgV4mPjmHcxl5KApczro69oaBVxduM7LyGPvJItZsPkRBkR61WkXH1lG8/L+B4O5Fvs5ASp7O7MPBES4kXS3JJ0kSQ/q2Y+7UJ53qwxqrYg4zfPwcM9fHOX/spGmDELbMHYufj203RnuuDQqWklErx5ETl5i+MMbp6+oEiVmx4OagwuIuyzIvv/wyXbt2pVUry3nJs2fPpkWLFnTp0sXhfufOnYu3tzcPPPCAzXZTp05l8uTJTo25LPEpuZxMzqOOtyvJWUUkZhoFt1vjQPTFBSnKsmG7/S30GRk5HE/M4sQVx77u+7obhTo5LYt2gyaTm39V+A0Gmd0H4xn2/NeMfXUobVo3IitfR5CHc+Lu4aJiwqgBBPp6MuKBrni4O3e9NXYcOMXQV2ZZzEY5cfYK7YZMIf7PKVYzYRTFsdi6QQaV42Va7TJ3xS5TwRFncBM7UAU3CRUW99GjRxMbG8v27dstns/Pz2fBggVMnDjRqX7nzJnDo48+ipubbRvaCRMm8Oqrr5peZ2VlERER4fB9MvN1HLhknO37uWtZHHvBVKnITaM2myYaDDIHj58nN6+QgiLHdnXKsszlhFR+W/Q3iUnpuGo19Ojelj53dSgndCWz9sFjppsJe9k2X3y1mNmzxiFJkK9zbnfp7U1CeaBjA6eucYQXP1hkM80wMSWLX1bu4clBtnem2qOq7bjOXkyp0Ganw3EXuZCYblqUFQhuVCok7mPGjGH16tVs3bqVevXqWWyzZMkS8vLyGD58uMP9btu2jbi4OBYtWmS3raurK66uFcsaAYhPvbqAejI5m1YRvoQGuHPwXAbxKTn0IQSAuct28NEPa0lMzrTWVTk0GjU/zlnDjp3ms/x58zew5I8tTHlvJCHBV8XhRHIOHrKOoycv2exXrzfw9+b99HpmAEkOGoWBMUsmzKdqZuqlKSmGYY9v52+utLhX4Z4kAAL8PCs0c//vdCLth0xh9cwxdLo1qmoHJRBUIU6lQiqKwpgxY1i2bBmbNm0iKsr6H/fs2bOJjo4mODjY4f5nz55Nhw4daNOmjTPDqhCJ2VdnyLJidAAM8tLS55YQfD1ckBWFL3/ewMsfLnRK2AHq1g0oJ+wl5OcXMnHSbLNjJ5NzmLVqr0N9Hz96mkKdnswCx2funesHOLS5ylmychz7gMnIzrN6TrKwCcoSjrRxhqF3V9ymIK+giCEvfUdBoa5qByUQVCFOifvo0aP59ddfWbBgAd7e3iQmJpKYmEh+vvmGmlOnTrF161aefvppi/00b96cZcuWmR3Lyspi8eLFVq+pSvQGxaL3ekl+vY+HC3tOJjBl5mqn+/bz8yI5OcNmm7y8QrZsO2h2TOdg3EGSJOr5u9Mm3Mehf7zuUUEEV8OsHcDHy82hRc6QAG+b5zUq24ulGlX5TJmTF1N59tuNDJyymoc/Xsey7XFOuUH2ur0Z3do3rlCuuywrpGbk8sdfB5y+ViC4Vjgl7jNnziQzM5OePXsSGhpq+ikbRpkzZw716tWjX79+FvuJi4szZdqU8Ntvv6EoCsOGDXPyEZwju8DA+YwCu+Zdq//eb+YEaQ+NRk2Xzrfw+quPUOjAjC5my0Gz17d1aO7QfUYUhzc8tGoGtAjBzcqU1lUtcV/LOoT4VN8CoEqlon1xqTpbvPF0f5vnJcmY6ljOxgCjT01p/5pdB09zx+g5PDr3EAeyNVyRPDhncOPj7Yn0mLSK5AzH0kNVKhV/fP0svTtV3DZg7LQl3PHIR7w3YzWXHCzgLRBcK5zaxHQj48gmjsx8Pa4uGo4lZnEmNdeqdNf3d+fX+Rv4+Y8d6PRWCoUWM+3j5wnw90ar1SDLMrt2xfLdD6vsjrd+/Tq8+cZjrF2/m4yMHMLCgjh0+BQnTieg9fDEoCuiKMdcqDzdXUnZ+ZnZMUVRSMkpIj41jwK9AQ8XDQ2DPAj0cKmUAZejHD+dwG0PfYjByodly0ah7FvylsP9KaV8YMoWO/noh/V8sXwfUXd2s+j5oygKHgXZbJ58nxP3U2gVPZnTF1McvqYsKpWEq1bDsq+fo0fHphXupzKITUyCstQqb5ncIgMuGjWSZD37QqOSuKWuLwG+nnZrk0oS+Pp4oNGo+HbmMvbuPY4sOxbHzcsr4NnRV4Va6+lBaJs23HJ/R5No5adnkHDkCNkJxh28EXX9LIxBItjblWALG66uBc0bhrJl3usMeXEmSanmPjW9bm/GyunPOdWfJFkO0WzYcYzJM1bTpO9dKLKMZCG1UpIk8t192HTwHL3b2v9GUXLNpNEDeWLCz06NszSyrFBYqOeBF7/j+JrJBNsJQwkE14JaI+7ZhXq83VyMNr0eWuKx/PU9zNcdlQQP9r+Nj39YZ7U/SZK49dZGuLq6MP6tWSQkpDo1npSUq2EpracHTfr2Qe1iPtt28/Ul6s5unN+9h4zzFzhx9grH4hNo2SjUqXtVNx1a1ufsxqnsjT3LXzuO4eXhyvD7O9vdvGSL8wlpxPwTh94gc9stkXw+dyMuHu54WNkwV4Iiy/y69aTD4g5GD/iLSRm89eXyCo9XVhQKCnXMXbGbsSP6VrgfgaCqqDXinlWgw9vNOLsN8tTi46Yhu0BfbgbvqVWjYCwL9/j9nfl15a5ylZMkSQJJorBuFDPn/e20sJcl9NZbjcJeZjYqFZfoq3dbBzIvXUY2GLj32W8489eHlbpfddGxVQM6tmpQqT6ycwt4/r0FLP3rQLkFUlcf+zNiBcycPR3l1Sf6MKRvO7o//inJ6dkVqpYlKwox/8QxYnBncvOLCAn0Qa3WIBeHmlSScf2gGhKXBIJy1JpiHWm5OpJzCk2x2tvrB5iKbJQQ5uNGpP/VMm2fj3+EZ4b2NO1ULZlV16vrz4PDo3H18+PfXYcdHkOgnyetWzYwO6bWavGtF24xzFByT5VGg189o09LYkpWhQts3OgYDDKDX5jJso3lhR1Al5ePbLC9BiJJEk3qVCwsEhkWyNZ5rxMZFmi/sRX+jT1HvV7jaXbPO9TvPZ4Jn/9hSgUtKdlYgc8egcBpas3MPT2/iLR8HeHFLo9uLmq6NwomIbuAyxn5eGjVtKzrg16v590ZK5m3YieZOQW4aNTceVtTundshrurC02j6tCtQ1NiL2fxyu+H0Rda3lFalp63N2PGu48zbtpijhy7elzr4WFV2EtQFAVtKeO1P/4+RLtbGnI6OZvvtpzhyOUs1CqJzg0DGNaxHi1CbYubrJhb6qow1jt1pC5qRVCK72covp9Ucj/JfMF0/faj7Dhg3chL1utJP3uOgKgGFt8zRVGQ9XpeHXRHhccaGRbAv4vf5Le1exn36R/kFRQ5dX1W7tW04OzcAmYs3MTCNXv4bvJw+nRpiSRJ6OWr74FAUF3Umj8vRZHIKzKf9RUZZDbEJvHlhpMEeGjJLyji1uh3+eqXjaRl5mEwyBQU6ti85zjvz1jJLY3D6NWpBS4aNaHFHxKOZqTE/BNHm/sn4ettbiGsL7IvHpIkYdBdTa900agxyApRwd70bhFCfpGB7AI9fx9PZuQv+1kXm2S1L71snD2WXiuWMboyVmZGmZiSxZETl8jLN38eWYFCw1VhB2OIomQcpSfoC1bvsVseL/FILEV5+ShlFq5LXg+9xRdfT9vWFfbwdHdl5JBuLP3qf05v/ir7hUNRIC0zl4dfnkmPxz7m5Dnjv00Vl3kVCMpRa8TdzUVFgU42pewV6Ay8u+oY9fzdmftUR0J93Rn26vckpmRavF6WFR58aQayLCMrChnFIuYVEuLwGHQ6Axt3HDM/lpdHXlqa3Q04mRcumn5/7L7OJtHp17IO97Q2WiYby/DB+2uOczmj/O7Rkhl7RlYeL7w/nwa9X6dOl5dp2m88701fSV6B3ukCGXP+2EFE7zeI6vsmtw+dSmCXV+k87CNOnUtCKQ5DWKNE5EtISs22mlJZgr6wkJMbN5IafxpZf3WXbk5yMvVyLjH2gY7OPYANurZrTMN6ju+wtseRExe5/cH3iX7uK7YfOFVl/QoElqg14q6SJAyKQk6hDkVRWHU4gbF9m9KreTAatYqcvAK27Tths4/CIj2zFm1BAtYXz47D2rd1ahxJqVnc27O12bHEI0arAksCrygKqafi0RXvAm7RKJSoiOBS5+HBDuX9fZYfvFzumEGGuDMJNL/7TX5duYvM7HyKdHqS03P44ucN3DLwLdKyHC/f9/53axj9/kJS0s0zjw4ev0i7Bz/g+Bnr3yBMY1KuznYjwwJQ24lVuLu5YCgs4tL+A8QuX8GxVWuIXbaCXoEGln7wqMNjd4T5q/dw6vyVKu0TYMe+U0Q/+xVrtx6p8r4FghJqjbjLioKLWsLbzQUFCPDQ4ufpgqY4dhuz57hDGRJrtx7mUkY+fx41Cpebtzctet6J2onizk0i6/L0Q91Ns+/sxCTO7dqNXOz0qMiysQqTopB66hSXDhwEjGZXa2e9YtaXSiURFeSJttT2TlmBI5fK+9vLCtwz6gsKrThbpqTnct9zXzv0DF/N28SH31tPFdXrZYaNneVQXyVv+/D7O9v0yldJEhOfu5fLWz7mlSfuYshdbXll2J0k/P0h375d9Tubv/99W4XsCewhK8ZC56PemUdhkfCnEVQPtWZB1U2jJtTb6IWSXaCje9Mgk7ADSJJj4pxTYOCl3w6RrzMgYRSm8Y90JrFDXT6ds86hkm3/xp5h1Xcv88HLD/Dz8h1cTkqnZeMwtu8/xapdFwi/rQN5ySkkxB6FvBzCgn15akg3XhreB43G8j9Z2WiGpdj1hh2xpGVaN/ECOPjfBRJTsqhroyjFExN+4vf1++w+Z9yZJJJSshwucNH9tiYMvqstyzcdKvctRq1W0TQyhKeHdMPb040PXx7sUJ+VIf7CFeRq2sBtjMXnsSrmCA/2a18t9xDUbmqNuNf3d+dsWj4KRqF3KfP1v9cdzSmuameTJBcf5FxjvL2er5YLO3fyxCLrxb8tkVnspqjVanjm4R7IskJOfiGvTv2N3PwivEJCCGzUEJ+wUO5qHsLEgS2s9mWQFQ5fyjTzypGAzg3Lb/ZZtNYx58mlf+5j9KO9LJ5bE3PYIWEv4d/Ys9zb81ar5yWu7kiVJIm5U0cwecZqvlu0hdzidQ21WsWQvu34YvzDeFdysdQZvD3dyc51LBuqImjUKk6etR+6EggqQq0Rd183FzxcilBJElqX8iV9PNy0dL+tGVv2xlntQ6WSSDt2lKTDh/F0d+UsikmoneFI3EVemjKfr95+1PQV/dHXfzCJmaFUeuXWk8kkZzfEv1QIqTRqlcSivReujlECdxc1A2+tW66toyUvZBvtJk13zikzwNf2LlV1GcdHFxc1U166n/GjBrD3yFn0BgO3NqtHncBr75fyyD238dUvmzA4aCnhLLKs4HUNP6wEtYvaE3MH6gd4YJCNseysAl25r/6/ff4/QoN9rfchG7eYGwwyWTn5FRL2En5ZsYuZi7ZwOiWXmFPJnLl0dZdr0/pBgFGodQaFN5YcJjOvZLzGMZeEC2bExLP7dBpgnAG7u6j5cmhrfN3Lu0EOussxn/xBvdtaPRd/IdmhPgBctRq6t29o1c5XbcPL3cvDlV6dmtG3S8vrIuwAzz3SAy9PV4fXU4L8vVg/60U83R3z+VFQiO5V/bULBLWTWiPuetn4tb8kFu3tavzSUiLwiqLg6urC4ZWTeeXJfgQWV+pxd3NxarHUGT6ctZbjV7Ip0JvPlRe/OZDPH2pFr2bB3BruQ8MQTy5n5Bb7nkvFVrgSGbmFuGkk2kX4clukH2N6NeSP5zrROtzyB9SD/Trg7WlbeFo0rEtEqHX/FmcWGJ8b2h21WoVWbbTuVVG8eafY4tdFXd6n/UaiXh1//vzhJcJCjO+nvZz3Sc8PpEfHpqxw0CztsYGdiAyz7ZUjEFSUWmH5qxRvpDE/pnApI586Pm6k5BZyOSOfDvWv/o9WVKTns5/+ZN3Wwxw5Ybv8XUVx9/fjjq7tcHNRsW75JlAU6of6E7f2/Wq5H8De2LP0evJzi1kpXh6uHF01iZAA8/dPlmVkWUaj0dDnqS9s7iItYUjfdvz6ycgqG/f1xGCQ+XPHUfYcPsPuQ2fYeSAeg6ygUUvoDTJajYZ3x9zHy8PvMl0zYNRXbD8QbzX7p3Obhqyb9QKu2qrx2xeWv4Ky1ApxB8jXGT1lCvUG4lNyuZCRh7erCxqVRFaBDrVKokfjYAr1Mj8t2crEL/+wa/lbUTyCAqnXoT3ufn6mY7r8fBIOH+H3twfRrUOTarlvCRcS0njl49/ZuOs4RToDHm4uDOnXnmljh+DjdXUH7c/Ld/HejNUkFJcZNH7rkezGoL8c/xD/G9qjOh/hupKakcPSDQdISs0iLMSXIf3a4+dtvraQlpnL4Bdm8s+Rs6hVkjGMVmwg9uJjvfn4tQeqdExC3AVlqTXinp5TBCoVO8+mUc/XjUZBXiZDMEVRuJJTyH+JWWzcfoTpM5aVu740Ko0ar5AQJLWagoxMCrOzbbYvjUdAAI169zSW9CsV7ikxNAvJS2blew863F918fq0JXy7IMbp61554q5rkqZ4MyDLMpv2xLF0w36ycgtoEhnCiMFdKmVMZg0h7oKy1JpsGYBjSdm0DfclsEzcWZIkQrxc8W0QyMjRG613IEHdW24huFlTVKXyzXOuJHNh778U5djPcQ9t26acsJeMASBB68/5pHTq1/F34smqlhNnkyok7FoXNaMeurPqB3STolKp6NO5BX06W09lFQiqi1qxoGowyGTnF+Gl1ZQT9hIkSSI3N5+0dOuz8PD27Qlp2cJM2AE8gwJp0qc3Lh7GkIarVsOiL5/l6TJCp/X0wCs4yKYLpEqtZvzsrY4+WrXwxmd/VOi6Ip2Bu59xbIerQCCoXmrFzF2tVnEw7iK9b7dd3zI5zbqwu/p4E9S4kcVzkkqFRqvl9ru68WCrQIYP6oJKpaJf11a0aV6fd6evIjUtC427u8XrzVAUkrKqb+OMIxyLL+9L4yjnLqcRe+oSrRqHV+GIBAKBs9QKcQco0MkWNwGVpr6NWGhAgwZWa3cCIEnofAJ4bFBXs5S5x6I707Vra44mZnPu1EUWn7S9/R9JIsirajIoKoqLpvwmL2dYsfGQEHeB4DpTK8IyAMF1Ay26LupL2cbOXLDJah63I7PuQr1MvgWPW7VKIsjThdeGdKQgPb2cF3lpFIOBKU9UX9xaURTy8otsGnTd28O6XYAjaDS15s9KILhhqTUz93zD1UXLf4+c5dWPFpry1yVJwsPNxbT93xL6fPtWuFqNCndt+VlvkV6me0Pjt4L7m/uxPkFBkRUkC5ti/PJSaRIR5NAzOUNOXiFfz9vE94u3ciU1G41axf292/L6yH60aWZuGTzp+YHMWBiDvoIVJf7v3turYsgCgaAS1Joplo+bmrTcItZvPUK/kZ+abUxSFMWmsAOknztncyFULcGAW+qgKSXYJba9e/afMIVqJo/oSY8AA7o88/CMvqiIwNxk1r0/pAJPZ5vs3AL6PPUFH8xay5VU47qC3iCzfNNBuj8+jb93/2fW3sNdy7rvXzClijrDrc3Cbe5wFQgE14Zak+euKArvrDzGt1N/pKCwYh7a9Tp2ICAqqlxpPZUEnq4afni8A3V9rxpBKYrCxSuZdB/2AQlbp5ldU6TT8cGvOzh+KZ0gbzcmPX4nIQFeVAfjPl3KjIUxFqscqSQJX293Hh3Wh00n0jBIalwUA0M71efZ+9oz6dtVrI45TJFepmlkCMPvv4PR7y+06Akf5OfJ0VXvmm2EElwbRJ67oCy1RtwBXvp6LbN+Wlvxm0gSdVvdQnDTpqhKLTq2DPVh/N3NqB9wdZeioihk5xXQ8K43jKmYe7+06sVenRQU6ojoPZ6cPNsZOPXv6IRfRD0klcq0cKy7ksD2D4fg7ma+wJuXX8TkGatZuOYfcvIL8fPyYOSQrrzxdL/r8owCIe6C8tSq/xPTEyrpna0oJB6J5cp/x6kbVZ9P3niYFmH+NAz2LNe0sEhH4z7jTQuXlXWNPX46gfdmriUxJZPwED8mPX8vjSPr2L3uQmKaXWFHksjPyMA/sr7xZXH4SRNclwHvLGXLJ4+YNfdw1/Lxaw9U+RZ6gUBQddQqcXd3rXyKoYuLhk63t+CJxwfQop4/DQONwl5iH6AoCgZZpvV976DTGzNnPN21aLUVe6tlWebeZ78lZq95fdclG/bTp3MLVnz7HCobawFurlqH7qNSl18IliSJPK9AElKyCHWwmpJAILgxqDULqgDPDu1e4Wu/eXsY6Xu/5ecf3+B/o6Jxc9NyLDGLxCyjp/u5tFyTwL829TdSSpXbG37/HRW+70OvzCon7CVs3PUfj73xk83r69Xx45bGoeXWCcxQFHzCwiyeUmu1TF/xr8PjFQgENwa1StzbtahPRKjzpk2hwb48dn9XivRyuVqlp5JzyNcZTMfPXU7lt1Ll7Fo3DePT1ytmBJaWkcParbE22yz/+wBZOdbTNCVJYvyouy3m+Bc3wCskBI8A6142eYXmi6eyLDN9/mZaRb9LWI/XaTFwEp/+tMFsz4BAILi+1CpxB/h9+gsE+pWPkVujTpAPR9dMQVYUzqWX312aUaAjMauAqEBP8guLGDz6G3R6PYF+nrz5v7vZvXC8zbCJLb6Zv9luG0WBmb9txSBbr//6YL/2TH1lsKlYiVolmdIcPQICiOza2Ub/CoO6XLUgzskroMmAiYz9dCnxF1JIz8rn7KVUJn69ksg+b5GWYd88TSAQVD+1KuYOUD/Ymy2L32Hl+n/4dkEMhQWFBPh58/ywnmzZe4KNO2LR6Qz4+rgz4Zl7efKBbsiKQr7OwOlUy8JV18cVSZLw8XDl2Kp3q2ysqRm5DrW7kp6DrnjBVi1hrNhUJgrz8vC7eKBvO35ZsYuT567g7enG7KU7CGvXBrWVDBdFlsm8dInubXuajvUf9RWXi/3dy5KWmUuPJz7jyIpJDo1bIBBUH7VK3BUFLmQVopZU/G9oTx4c2IV/zqWx8dgV5p7OQAloyJuTuzPs9gj8PIwLkbKikJBVwNGELHSG8lNjrVqFa/Es2Fo90IrS/pZIWLLdbrt2LSNNvxsUUAyWS9jVDw3g7WfvNb2evXQHF/b8Q+PevVBrteb+8rJMUW4el/YdAB4D4FJSOvuPXcAWp84nC+MwgeAGoHaJO3AxIx+1pKJxsBfBXq50iQpEo5KIS8gmX2dg0b8XWbr/Ek3reOOhVdGzZTCKgtUFyQYBHkiShIuF2XJlGR7diZc+/I0iXXm/mhLcXF14sP9tZsdkQFbsf9h4ebiSk51D3Ia/CG7WlIAGUai1LugLCkiNP03KiZO4lUqimbt8l0Pjnr1kB1+Mf9ihtgKBoHqoVeIORnMvWZE5m5pLZIAH/h5a+reoS/MQbz7feJJDFzLRywrHErIAyC4ycF/bUIt9BXpqiQrwRJIUU+HtqkSlUvH5Gw8xZspvVtt89sZQi8cNCpRNbjwWn8DqmMNoXdQ8cs/tvPF0fyZ+vRJ9fgEJBw+TcPBwuX7692zHkJe+40JiOplZdhwtiynSiYVVgeB6U6vEXcK43V5WFGITszh+NoGi7FzaNAknMjyIr4a2ZcPRRGZuOU16ntGi4GJaHq5qCZ2soGAM7aglCPVxo1mwF1l5ebzz+VJWbj6MTm/A38eDd0cP5IlBXapkzCOHdMPdTcvr05aQlnlVXAP9PJk27mEG9+1g8brSi6vxF5K599lvOXc51XRswhfL6dgqkoi6/lxITLfYh0at4o+/Djg95nvubOX0NQKBoGqpVfYDAOuOXWH9pv3M/20jubkFpuOe3p60uLMzOm9jSqBKMoZi/tejId0aB1LH2xWVZKx2b1AUCvUyZ85eovcTn1nMUomo68/xNZMrnCljiSMnLnHy3BUaRITQ0k5MWyWBVg2JKVk0v/cdi14wYEzzbNkolE174szSJYP8vEixk/niVSeE4GZN8a5j3Cmbl5pG7vmzxP/+qu28ekGVI+wHBGWpdeI+7ts1fDN7ndXzDbp1xb9eGHc0DGREl0ia1PEGjAurWrVEiVV5QaGOoC6vWjTjKqHTrVHEzH2tYg9kA71s/LGFiwrUKnjole9ZHXPEZtuPXx3M0w/eyd97jmMwGOjStiFRfd9GtvGnEdSkMeHt25kVMCn5vXukF/pL59C6u3NPtxZ0b9PA2UcUOIkQd0FZalVYRq/XM+On9TbbpBzYx95Ph6JRqzDICnlFery1alw1ktmC6RdzN9oUdoA9h8+Ql1+Eh7tjFgCOopbAVlTbGH4y/v7n9mN2+3tv5hqeHNyF+3oai3TMXrrdprC7+foQ3r6d8V6lvplIKhVRQZ70ujWC7kPao1ZJ5OsMzN95hiAvLf1vFRk0AsG1olZtYvpmvmXb29Lk5Bbw9fI97D6bSlpeAX5ualzKCDvAvFW7HbrnfAfbOYMkgavaKOJlKQnHlIy3xN/GFrn5RUT1fYsLCWkApNtZOA1s1MhiNalbwnz47tF23Nk4yLTA7O6i5v7bImkZEcS6wwl2xyIQCKqGWiXuB/6znaNdwtkzl+nZOJAIP3ezeqil0dlITyxNRk6B/UYWUBSF8+n5bD6ZwsrYJNb9d4WjidkUFN9XksBVYxRyjcoYhnFVmws74HAWT15BEX2f/hKALu0a22zrVSekXOESCZh4bws0alW5Ih8alQp/DxdUajW5hSKTRiC4FtQqcff39bDfCGgfFYzOAEUG0Bko5ycD0L5lfYf66n1Hc5vnM3Py2XrwDLtjz6EvnmXLisKOM+n8cz6D1DwdRQaZ3CIDx5Ny2BCXTGb+1WIjquIdqWorefZd29sW6tKcu5zGoeMX6NK2IQG+1i0atJ6e5bxqOkT6U9fXzeqHiUatoluTYNYevuzweAQCQcVxStynTp1Kx44d8fb2JiQkhEGDBhEXF2c6f/bsWSRJsvizePFim33/999/REdH4+vri6enJx07duT8+fMVeyorvPpEH7ttVCqJ/7uvCwbFKOoGxSjyRQbz9MLvJj1qty8fTzc6WPkQSM/O54lJC4js8yb9R3xGr8enUb/vW0yatd7oNpld3oNdAXQGhR1n060bgZXhm7cesfrtwxKL1v+LosB3k4dbPO8ZHIRKrS6XDdMgyMNuyEutkjgQJ8RdILgWOCXuW7ZsYfTo0ezevZu//voLnU5Hv379yM01eqBERESQkJBg9jN58mS8vLy4++67rfYbHx9Pt27daN68OTExMRw+fJiJEyfi5uZm9ZqKEBkWSOe2DW22GXr37Ra912XFPEPF39eTl4f3ttnXqhmjLR7Pziuk51NfsmT1LgpLlfxLz8jhk5mrefOzP6z2qQB5RQaL4m+Jpg3qsOHHl5yqh5pXoOeF9+dbPKf1tDyjL9DJOPIZkpHpmF+OQCCoHJVKhUxOTiYkJIQtW7bQvbtlr/R27drRvn17Zs+ebbWfRx55BBcXF+bNm1fRoTicCqbX6+k+/DOL8fcBd7Zi4efP2ryPa5mY9pylOxj/+R9kl6p2VD80gEWfjaJtiwiLfUya9SfTvltl1cURYPKkETSMsuyxLgHNQrxoFeptc6yl2Rt7lu6Pf2q3Xc+OTdny7wmrY/MJCyPqzq7ljgd5aVn0zB1WwzKKopCSU8SU71fx/fiKWSALrCNSIQVlqVQqZGam0R0wIMBytft9+/Zx8OBBpk+fbrUPWZZZs2YN48aNo3///hw4cICoqCgmTJjAoEGDrF5XWFhIYeFVQc3KynJozBqNhp0L3mBv7FmmzlpHcnoOEXUDmPT8QCIj7JetK+vZ8tSQrjw1pCs5eQUkJmdSr44/bm62Ux/nr9hp87xKpWLLloNWxR2c97Hp2KoB4SF+XLqSYbNPa4VBSshOSsSg06F2Ma9qlZJTxLrYBO5pFWoxDCRJEt+t2c/kp/s5N3CBQFAhKjxzl2WZ6OhoMjIy2L7dsnPh888/T0xMDMeOWc+1TkxMJDQ0FA8PD6ZMmUKvXr1Yv349b775Jps3b6ZHjx4Wr3v33XeZPHlyueMVnbkYZEy2ubYo2RxUGbw7vmRaPLVGyxaRTHjjMavnu0X5sXbjfuYs3UFeQRFNIkMIC/Zl8Yb9pGXmoVJJtG1Wj4/HPkDX4uyXM5dSaD/kAwpKhYJKkCTrfvBlCWrahPB2bcsdd1FLjB/QjLta1EFfXDvWuOYCM9Yc5J9t//L7Z6Mcu4nAKcTMXVCWCov7c889x7p169i+fTv16tUrdz4/P5/Q0FAmTpzIa69Z36V5+fJlwsPDGTZsGAsWLDAdj46OxtPTk4ULF1q8ztLMPSIiosJ/3HLxwqk9tGocii3bok6PcWTZyCVXSRIdOjTjxTFDyp2TgIKcXMa++T0ZWdYrMJXm8zce4rlHjB+SGVl5jPvsD5ZtPEB+oQ43rZqeHZuxdmsszvwh1G/TisDmzSlxQS69wNowyJM+LULwcXchMbOAnxZsoIW/hl8/GenEHQTOIMRdUJYKzUHHjBnD6tWr2bx5s0VhB1iyZAl5eXkMH24566KEoKAgNBoNLVu2NDveokULm9kyrq6u+Pj4mP1UBpVkeVNQaUrv/KwM9/RuZzODRVYU+vdsY7pnadxd1Lz+5iyHhR3g1Y8Xs6U43OLn48GsyY+xee6rtGwYSm6+jjVOCjtA5zA31r/clbaeRSQeiSXlZDy6fOOYTqfkMmvbGaYuP8jhA//x92ePC2EXCK4xTsXcFUXhhRdeYNmyZcTExBAVFWW17ezZs4mOjiY4ONhmn1qtlo4dO5qlVAKcOHGCyMhIK1dVDy5q27N3l7IeuhVk/JN9WLnhXwoKipDLpA+qVBIN6tdh7IN3kKmTOZOaR1aBHhe1ivr+bmzffsTuDlJL3P2/r7m46SMC/Lw48N957nxsmt3URWuoVRIfvfoAPm4ufP9iP5bfEszbX63k2IEDeAUH4+7tQddW9Zk94X483F0rdA+BQFA5nBL30aNHs2DBAlasWIG3tzeJiYkA+Pr64u7ubmp36tQptm7dytq1ay3207x5c6ZOncrgwYMBeP311xk6dCjdu3c3xdxXrVpFTExMBR+rYqiKt/XrZShddMla6bqK0iwymBUzXuCxcbNJupJe7BypIMsKrVtEsuzLZ3B1dSHEFUK8zMXxqT92VOieigITvljG95Mf5+FXZlVY2F00alZOf566QVe/KQ26qx2D7mpXof4EAkH14JS4z5w5E4CePXuaHf/pp5948sknTa/nzJlDvXr16NfPcmZEXFycKdMGYPDgwXz33XdMnTqVF198kWbNmrF06VK6devmzPCqBEkyztA1ivkxayiK/TaW6NamAfFr32VpTCx7jpzDRaMmuvstdLm1gc3r8gqKnLtRKX5ZuYcXHu3NxaQMp6+VJHj7f/cwbmQ/NFZqrgoEghuHWmP5uzf2LD8s3k5hkY7edzTn8fs6VdhrXVGubmoqefNUGLNoKptJY48n3/yZRev+rfD1wQHeJKdlO3WNq4uGbb++Tuum1l0dZVnmwH8XyMopoGFEMJFhltNjBdWDWFAVlKXGi3tKeg53Pj6Ns5dSzdq7ubqwcNpIBjhZNUhRjCmT1qIaGhUmz/fKcCw+gaSULFo3DSfI38t0PCE5g4b93q78DeygdVFTN8iHIf3a886z99rM3Z+9ZDvvfLuKtFK7T++6ozlfjH+IJpH29w4IKo8Qd0FZarS4y7JMRO8JZqJTGkmCLb+MpWOrBg7fx5F8+MqkS34xdyNTf1hHdu7VNM8WDevy6ycjadnIWMt13GdL+ebXzRW7gYNsnWf/fVEUhUfG/sjqrbEosmJmAyxJEr5ebuyYP46GEbYX1QWVR4i7oCw12hXy6183WRV2MM7CX/pwkVN92quAlFdQxITP/6D1/ZNpMXASD786izOXUhzq+/VpS3jzy+Vmwg7w3+lEbh86lWPxRj/0T14bwqdjh+Dv45jLpbPUq+PHucup7DtmPRXVICs8O/1vTriF0nrIA9z60BAa9eqBd2hdwCj8Gdn5vPnVimoZo0AgsE2Nnrm3un8y8eeTbV4nAXkHvnX4PgU27Mi3/3uCwWO+Ne3OLM2rT/bhg5cGWb02MSWLqL5v2rx3s6g6HPxjoun1O9+sZPqCzeQVGHecqlRSudTKyuLr5cYHLw9i5JCri9sGWWH80li2njKGuko2MJWU2bu0/wApJ0+Z2p/d9BF1SoWWBFWPmLkLylKjZ+5Z2fY3+igYwzeVvldOPoOsCDvA5z9vZMGaf6xe/843K+3eI+5MEokpRg+d+577lmlzNpiEHXBa2N1c7We9ZOYUMGbKb3z5y0bTsXWxSWyLTzPZOZdQUsAjrF1btF5X3SOX7Tnr1LgEAkHlqdHiHhzgmGvihh3/Odyn2kosffK3KzFYEXZTm+mrrJ7777RjJegOx11gyYZ9bNx93KH2tihwoirS21+tYNfB00xduJNp6+Ns+8krCoGNGple7jzvmKmbQCCoOmq0uDtSnANg6GuzOH460aG21lId/9x+xO615xPSrZ7z9nDMuz44wJsPvl/nUNuqxCArPDFzKyvO6SgwKOWKdZRGUqlw9/MFwD0ggGxDFW3tFQgEDlOjxf3R+zrRuL79TA1ZVpixMMahPlWS0RmyLEUO1lS1FgIa82gvu9d6umtp16I+5y+nOXSvqiSoaRP8GzQAsCnsYFxMlYtdL+u1b0uIt20LZIFAUPXUaHEH2Lf4LXy93W220RtkVmw65FB/5y6nMW/FTuYt287RExdQSUbBb+RAup+rVmN149Q93VsRHuJn8/qxI4w7fl0013gmLEFws6aON5ckMi9dIqxtGzwCA4luE1qNgxMIBJao8fvItVoNzaPqsufwGZvtCorKe5yXJisnn+feW8CyjQfMfM8bRQQz5tGevP5UX4a89L3NPob0te2/8s+i8XQcOpXLVzLLnRs5pCvjRw0AoMftzVi56aDNvm5pEk6rxqGV2s1agtbDE62HY2mXiiyjLywkoGFDfEKCaFbHm74tQio9BoFA4Bw1XtwB2resz79Hz1ld8FSrVLRrYbmQNYDBIDP4xe/Yc+hMuYIW8ReSeeWjxahVElHhgZwpsxO2hDqBPkx/e5jNcQb4eRH/5wesiTnM1/M3k51bQNMGdfjgpfsJr+NvavfBKw+wavMhm4uar4/ox9C7O+Dr7cas3y0XU3EYOxuySsYhSRIK4OLujquHO31bhPB6vyZoq2LLrkAgcIpaIe6jHuzGzN+2WD1vkGVTMQtLrNsWy84D8TbvYZAVziWkERUeSHp2nslvXaNWMbDnrfw0Zbjd8nsl3NvzVu7teavV85cSUgmv48fFROsLtM+/N59enZpwMTHDoXvaoig3D11+Pi7ulsNbJTH4h28Lo024H2qVROtwHwK9RKxdILhe1Apxb9EolE/GDmHcp0tRq1QYihc1VZKErCg89UAXontZF9OFa/4xu84asqxw5lIqS778Hz06NiGvoIggP68KG5RZYvGf+xg+/ie77fIKinj09Tm4O/iBUpqQQG8aR4QQEuhNfmERG3cdJ+XESere2triYqpKglBfN16+qzGqqvJFFggElaLWfF9+4dFerJz+PN07NjEJ0K3Nwpn9/nC+fXuYzQyQpNRsu8Jeglql4pcVu/DycCMkwMeisCemZHEsPoGiIsfzzMGYaTPy7bkOt99x4BQ9OjZx6h4At90SyZB+7ZgwagCfjn0QT3ctqSdPkXnxEoDJQ8YYjlHwcXPh0wdbCWEXCG4gasXMvYS+XVrSt0tLZFlGUUDtoD9vZFgAuw+fsbtJCYwhnktXMiyemz5/Mx/MWmeqpCQBndpEsWDaSEKD/ez2/e38zejsmduUQlHg7m4tmTx9NTo7BblLs3ZrLOu2HUVRFLq0bciiz0Yx6dtV/LNzFxnh4QQ2boS7rw8B3m4M6xzFoHah+HuIEIxAcCNRa2bupVGpVA4LO8ATgzo7JOxg/MCwlNL42ieLGfvpUrMSeQqw+9AZWt73LofjLnLgv/Nk2Ciht+Xfkw6PuQR/X0/mTxvpdDGRkkXSf46cZcRbczl1/goA2QmXObN1K0dXriYi4zzDbgsTwi4Q3IDUSnF3ljs7NGFI33YOCaTBIDP8/s5mxy4kpDFjofUF3YJCPZ0e+Ygu//cJoT3G0Wbw+/xz5Gy5dloX575o+Xm7Exrsx309b2Xbr+Po2KqB06ETvUEmMSWLtEzjh44sK6aMod/W7WXUO/Oc6k8gEFwbhLg7gCRJ/PTBk4wd0Q9Pd9uz1J4dmzKg2y1mx978crlT9ztxNomeT3zG9n3mM/X/PXynU/288XR/0+8dWtZn67yx7P5tPC5VlJooywpLNuw3WRELBIIbByHuVigpo6czGAt0aDRq3nshmj2/jcfN1cXiNVoXNT+8/3i5kE9FxE9RFIa9/qPp+gmf/8HabbEE+XnaudJIt/aNeHl4eW+dfk9/6VTc3h4atYolf+6rsv4EAkHVUKsWVB1BUaDIUGwFrCgosoJarUKvN+Dhqube56ZTUGh5N2uRzsB9z03nwB9Xy+At//sApy/Y9pS3Rkp6Lo37v211gdYW+46WL7SxJuYwGQ7YIDuDJElV3qdAIKg8YuZeihJhl4uDyipJMs3CJUkiM6/Ibtz7+JlETp1LAuCZSb8ybOxsCpxMeSxNRYQdIL9Qxx9/HTA7tuSv/RUehzUMBpmGEUFV3q9AIKgcQtxLISvGGbulnHe1WoVGrWbMY3fZ7Wfeqj0s2bCPeSt3V8MoHedQ3AWz1xXJQ7d3hVqtYtg9HZ3uVyAQVC9C3IGiIj05eQUYFKxWUgKjG+ODA26z25/eIPPejDVVOcQKEV7Hz+z1I06KsIeblhEPdCUsxLfcOkLJ58QnYx8g0E+U0BMIbjRqdcx9+vzNfPTjelIyjEW0F3z6DP3vbG3zGg83rdEgy4Zp1wN92/PVvE02+9GoVWg0aqvx+8qiVkk8eX8Xs2N9u7Qk0M+T1AzrRcNbNgrl67ceQVEU2jSrh7enG5evZPDWV8tZ8ud+04df08g6vP3cvTzYr321jF8gEFSOWivuz02ez8/Ld5kdO3X+Cn1kGZXKsl+6LCtcTEqzKewBPh689vFiq5ueetzejJeH96V7x2aoVBLx56/w/W8xzPlju9k1GrXK5rcIe4x66E602vL/vBtnv8wdj3xMoa78OoC/jwd//fgSAWVm4mEhfvz0wZN8Nu4hzl5KxcvDlSaRIXaLdggEgutHrQzLHPjvfDlhB5i7fKfNQhgKCnOWbLPZd1pWnlXv+CcHd2X59Bfo1qEJKpVRGKPqBfHR2If4eepI0zFXrYaBPW1/g7DF8Pvv4IvxD1s817xhKKfWv0d0r1vxcNeiVkkE+Hrw4mO9Of3nlHLCXpoAX0/at6xP0wZ1hLALBDc4tXLmPuHz5RaPx5+/wkez1jL+mXuQZcUktmCMox+Ou8CsRZZ3mrq5amwWnI6o68+nbwwFjDnzJZQYi93b81Yei+7ML8t3otMZWLPlCK4uGosz7LJ0aFmfOkE+NAgP5K1n7rYq0LIs88ykX/l9/T6T14xGraJ3p+Z88FI0Gs2N++cwe9VevtvwH3myhCQbuC3Mgy9fGoifj2NFRASC2saN+39zNXKiOFXREh//sJbzCam8NqI/jeobKwjl5BUwd9lOpn6/mnwrMXJbwg7w+KAuKFgP58iKwjMP9+CX5TuRFQVZrwCOhWUaRgTzy0cjbLaRZZnbh07l6CnzDVV6g8ySDfs5cPwCh5dNrFJ74qrAYDDQY9widEFhqEIjKPnYOq5S0eXN5Xz/VCfubN/ouo5RILgRqZXibm/7/cLVe1i4eg8NwoNw1Wo4dzm10gufrZrUQ21DONUqFS0aVazWaKADu1a/nb+5nLCXJv58Mh/MWsfEZ++t0Biqi0emrkIfHG5MySwTCvIOD2PUDzs4Nj3qhvtQEgiuN7Xy/4h7e9iPZ4cG+TJ36pNE97qVsU/2xc21cp+D+YVFNhdiwbjDtSKMHdHXbpuvf91st82s37dW6P7VhU5v4LTOzer7JkkSvvXrM3Wu7cwkgaA2UivF/b0XotHYsfx9+7l7uL11A957IZq3nr3HbtjFHuu3HrE5u9TpDayOOeR0v14erjw9cR5/7Txms92VtGy7faVnWrcbvh6s3XsaF3d3u4u3aw5cukYjEghuHmqluHt5uLHmuzFWBf75YT146oGuZscqW2VoX+xZJCxvkpJlGQn49te/ne43J6+QmL0niB49gxYDJ5GVY9nnReOAE6QzHvfVjaJAboEDH6iK4uDKhEBQu6iVMXeA7rc1JWnbp7w7YxWrYw6j08u0aBjKJ68NpnnD8rHvBvUCOX0hpUL3Uqkkfv3kKVzUICvGDwmd3oAkGT80inQGRk38mUPHL9jpyeg8aS18c/ZSKl3+72OG3tOR5RsPUqTT07ppPaa+MojuHZrw5w7bs/s72jR0/uGqEEUBg2J04VSAwd2aExgSyMK9FzmeaPmbh6RS0SLM99oOVCC4CZAUe4Hgm4SsrCx8fX3JzMzEx8enyvs/ee4Ktw56z2ab1o3DSErLNguBtGwUytyPnqRV43DAKGBH4xPYffgsrloNB/+7wILVu21WYCqNWiVhkJ3/J3v6oW4cPZXAxYR09AYD4XX8yc0v5L9iO2IJ2LNoAq2bhjvdd1VQ2o2zNHqDjCRJTFp5lO2nUs2vkWV0+fnEjO+Fj6f7tRvsDUh1//0Lbj5q7czdWZpEhvDy43fx5TzLoZMgP0+2zx+HVqshITmDy8lZNKkfjI+XuehIEjRvEMLAZ78hKTXLqTHYmrXbonXTcOat2I1eL5sKfV9Jy8ZgkOncrhF7Dp5mzgdPXDdhB+OM3dJHlkatQpYV3r63BUNm7iK3yPj8iiyjyDIPNPWu9cIuEFjixgmy3gRMfXUwy75+lvp1/U3HXF3UjBzSlfg/PzBt9w8N9qNDy/rlhL0EjUbNu6MHOnVvF42aN54e4PSYfb09OHU+mSKdwSTsgMnqYNeBeEY80PW62vYqxYVRrKFSSWg1Kvo0N45RkWXISGVst7q8/bhz1akEgtqCCMtcR76Zv5mJX6+gSKdHo1ZjMMioVBJ339mKE2cTSUjJwt3VhejebZnyYjRXUrNoPeh9p+7RpV1jdh2Mt5pOqFZJtGwczpETFwkP8eOvOS8TFX5thV5RoNCBLyQSCgU6Pe4uarRVVCqwpnAz/v0Lqhch7teZjOw8lvy5n0tJGQQHePFg/w6EBHhbbd/07olcSEx3uP92Letz4Fj5qkylcdGoTXYEbq4uxK9/36bHTFXjqLirJXCxbv1Tq7lZ//4F1YeIuV9n/Lw9ePrBbg63nz9tJD2Hf2aqFmUPCQkJy/HsUo1MFBTqGPfZH/z4/nCHx2SPCwlpTPvpL1LSc2jVOJSxI/qZOVZKEvbHCKiEV5lA4DDiu+1NRsdWDdj66+s0qh9sdtzL3dViezdXl3Lb9kujVqlo2SjM7NjyTQftjuPAf+dZE3OYCwlpVtvo9Xr6j/qKpve8ww+Lt7Fs4wHe/24t/p1f4cPv15q1tRdlkRDiLhA4g5i534R0aFmf2BWTuJKWxbFTCYSF+NG0QR2emPATv6/fZ9Y29uRFPNy05BcUWZztG2S5nPYXFFj30fnyl4188P06cvIKTccahAcyd+oIbm/dwKxt/1HfsPNgfLk+ZFnh/e/W4uvlzuhHewGgVhln7pYWViVAq7b5GSUQCMogZu43MSEBPvS8vRlNG9QBYO7UEUx6fiC+Xm6mNjl5hdzTvRVuri5mFsYlu1G7dWjCwf/MN0+5u2kt3u+tr5Yz4YvlZsIOxs1TPZ/4jN2HTpuOHYtPsCjspXl3xmqz1xoVuKqN/1VJxTF2lRB2gaAiOCXuU6dOpWPHjnh7exMSEsKgQYOIi4sznT979iySJFn8Wbx4sdV+n3zyyXLtBwxwPu1PAONHDSBx26ec+/tDjq1+l+y9X/HLRyM4uGwiY5/qT9MGdYgMC6Rj6yiaN6zL9n0ny/Ux6K625Y5lZOXxxc8brd5XURQef2OO6fXUWevsjjUnr5CdB0+bHZMko7hr1cbFU7VKCLtAUBGcEvctW7YwevRodu/ezV9//YVOp6Nfv37k5hprckZERJCQkGD2M3nyZLy8vLj77rtt9j1gwACz6xYuXFjxpxIQEuBDVHiQyawsoq4/k0cPZNu8saSkZ7P7YDzHTyeWu87d1YVpY4eUOz55xmq7C54XkzI4VeyVn5yW49A4z1xIJievgJkLt/Dxj+utVrESCATO4VTMff369Wavf/75Z0JCQti3bx/du3dHrVZTt25dszbLli3j4YcfxsvLdmqdq6truWsFVY+PlzuHlk3krqe+5Nxl8+38EXX9+Wv2yxarGx2Lt+4FX5p/j56ncWQdouoFsuVf++1/Xr6TUZPmYVoOmL6aIH8vFn/xzHX3uhEIbmYqtaCamZkJQEBAgMXz+/bt4+DBg0yfPt1uXzExMYSEhODv70/v3r2ZMmUKgYGBVtsXFhZSWHg19puV5dxW/tpMeB1/jq+ZzKHjF/ht7V5kBR655zbatahv9Rpfb8e2+NcJNOZYv/P8vRbr1JZGo1axfX/5uHxKeg69R3zOzgVv0LZ5hEP3FQgE5lR4E5Msy0RHR5ORkcH27dsttnn++eeJiYnh2DHbboS//fYbHh4eREVFER8fz5tvvomXlxe7du1Crba8a+Xdd99l8uTJ5Y6LTRzVw+5Dp+n15Oc227hpNaTu+twUChr59lwWrNlb4XvWq+PHyfVTKnx9bUJsYhKUpcLi/txzz7Fu3Tq2b99OvXr1yp3Pz88nNDSUiRMn8tprrznV9+nTp2nUqBEbN27krrvustjG0sw9IiJC/HFXI20Gv8eJs1esnh83sh+Tx0SbHXvlo9/5YfF2M18bH0836gb5cOKc9b5KSNo6DR8HvzXUZoS4C8pSoVTIMWPGsHr1ajZv3mxR2AGWLFlCXl4ew4c7v9OxYcOGBAUFcerUKattXF1d8fHxMfsRVC875o+jcWSIxXNPDupcTtgBvhj/MBl7PmfW5Md4/8Vo1n73AknbPy2XTmmNZX8fqNSYBYLailMxd0VReOGFF1i2bBkxMTFERUVZbTt79myio6MJDg622sYaFy9eJDU1ldDQihWMFlQPXh5uHFn+Dlv/PcGnP20kMzuPJpEhvP9iNKHBflav02g0PB59h9kxN1cXh+5ZWFS58oYCQW3FKXEfPXo0CxYsYMWKFXh7e5OYaEyl8/X1xd396lfnU6dOsXXrVtauXWuxn+bNmzN16lQGDx5MTk4OkydPZsiQIdStW5f4+HjGjRtH48aN6d+/fyUeTVBddL+tKd1va1qpPh6P7sTkGWvstouqd/2siAWCmxmnwjIzZ84kMzOTnj17EhoaavpZtGiRWbs5c+ZQr149+vXrZ7GfuLg4U6aNWq3m8OHDREdH07RpU0aOHEmHDh3Ytm0brq6W/VIENz/jRva3W6Tcz8udXrc3u0YjEghqFsLyV3DdWP73QYaN/dHq+XkfP8WD/dpfwxHdvIi/f0FZhLeM4Lox6K62rPj2eerV8TM7Hh7iy8JPnxbCLhBUAjFzF1x3FEVhb+w5LiWlExLoQ+c2UaZceYFjiL9/QVmE5a/guiNJktEuuIxlsEAgqDhieiQQCAQ1ECHuAoFAUAMR4i4QCAQ1ECHuAoFAUAMR4i4QCAQ1ECHuAoFAUAMR4i4QCAQ1ECHuAoFAUAMR4i4QCAQ1kBqzQ7XERUHUUhXURkr+7muIm4igCqgx4p6dnQ1ARIQoqCyovWRnZ+Pr63u9hyG4AagxxmGyLHP58mW8vb2RJOl6D+emoKTu7IULF4TZ1DWkOt53RVHIzs4mLCxMmK4JgBo0c1epVFbruQpsI2rQXh+q+n0XM3ZBacRHvEAgENRAhLgLBAJBDUSIey3G1dWVSZMmiVq11xjxvguuBTVmQVUgEAgEVxEzd4FAIKiBCHEXCASCGogQd4FAIKiBCHEXCASCGogQ9xrMiRMnuP/++wkKCsLHx4du3bqxefNm0/lDhw4xbNgwIiIicHd3p0WLFnz11VcO9b1mzRo6deqEu7s7/v7+DBo0qJqe4uakOt97gMLCQtq2bYskSRw8eLAankBws1NjdqgKyjNw4ECaNGnCpk2bcHd358svv2TgwIHEx8dTt25d9u3bR0hICL/++isRERHs3LmTZ555BrVazZgxY6z2u3TpUkaNGsWHH35I79690ev1xMbGXsMnu/Gprve+hHHjxhEWFsahQ4euwdMIbkoUQY0kOTlZAZStW7eajmVlZSmA8tdff1m97vnnn1d69epl9bxOp1PCw8OVH3/8sUrHW5Oorve+hLVr1yrNmzdXjh49qgDKgQMHqmLYghqGCMvUUAIDA2nWrBm//PILubm56PV6vv/+e0JCQujQoYPV6zIzMwkICLB6fv/+/Vy6dAmVSkW7du0IDQ3l7rvvFjP3UlTXew+QlJTEqFGjmDdvHh4eHlU9dEFN4np/ugiqjwsXLigdOnRQJElS1Gq1Ehoaquzfv99q+x07digajUb5888/rbZZuHChAij169dXlixZovz777/KsGHDlMDAQCU1NbU6HuOmpDree1mWlQEDBijvv/++oiiKcubMGTFzF1hFzNxvMsaPH48kSTZ/jh8/jqIojB49mpCQELZt28Y///zDoEGDuO+++0hISCjXb2xsLPfffz+TJk2iX79+Vu8vyzIAb731FkOGDKFDhw789NNPSJLE4sWLq+25bwSu93v/zTffkJ2dzYQJE6rzMQU1BGE/cJORnJxMamqqzTYNGzZk27Zt9OvXj/T0dDNb2SZNmjBy5EjGjx9vOnbs2DF69erF008/zQcffGCz782bN9O7d2+2bdtGt27dTMc7depEnz597F5/M3O93/tBgwaxatUqs3oFBoMBtVrNo48+yty5cyv4ZIKaiMiWuckIDg4mODjYbru8vDyAcoUbVCqVafYNcPToUXr37s0TTzzhkDB36NABV1dX4uLiTOKu0+k4e/YskZGRzjzKTcf1fu+//vprpkyZYnp9+fJl+vfvz6JFi+jUqZOjjyGoLVzfqJCgukhOTlYCAwOVBx54QDl48KASFxenjB07VnFxcVEOHjyoKIqiHDlyRAkODlYee+wxJSEhwfRz5coVUz979uxRmjVrply8eNF07KWXXlLCw8OVP//8Uzl+/LgycuRIJSQkRElLS7vmz3kjUp3vfWlEzF1gCyHuNZi9e/cq/fr1UwICAhRvb2/ljjvuUNauXWs6P2nSJAUo9xMZGWlqs3nzZgVQzpw5YzpWVFSkvPbaa0pISIji7e2t9OnTR4mNjb2GT3bjU13vfWmEuAtsIWLuAoFAUAMR2TICgUBQAxHiLhAIBDUQIe4CgUBQAxHiLhAIBDUQIe4CgUBQAxHiLhAIBDUQIe4CgUBQAxHiLhAIBDUQIe4CgUBQAxHiLhAIBDUQIe4CgUBQAxHiLhAIBDWQ/wfEQV5D4BI81wAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3840,10 +3840,10 @@
    "execution_count": 45,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:03.340600Z",
-     "iopub.status.busy": "2024-09-05T03:54:03.340291Z",
-     "iopub.status.idle": "2024-09-05T03:54:04.208878Z",
-     "shell.execute_reply": "2024-09-05T03:54:04.208320Z"
+     "iopub.execute_input": "2024-11-05T03:39:09.179179Z",
+     "iopub.status.busy": "2024-11-05T03:39:09.179013Z",
+     "iopub.status.idle": "2024-11-05T03:39:10.005636Z",
+     "shell.execute_reply": "2024-11-05T03:39:10.005094Z"
     }
    },
    "outputs": [
@@ -3859,7 +3859,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -3886,10 +3886,10 @@
    "execution_count": 46,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:04.211241Z",
-     "iopub.status.busy": "2024-09-05T03:54:04.210903Z",
-     "iopub.status.idle": "2024-09-05T03:54:12.793943Z",
-     "shell.execute_reply": "2024-09-05T03:54:12.793402Z"
+     "iopub.execute_input": "2024-11-05T03:39:10.007515Z",
+     "iopub.status.busy": "2024-11-05T03:39:10.007178Z",
+     "iopub.status.idle": "2024-11-05T03:39:18.462837Z",
+     "shell.execute_reply": "2024-11-05T03:39:18.462301Z"
     }
    },
    "outputs": [
@@ -3898,9 +3898,9 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    276387.000000\n",
-      "mean          7.762071\n",
-      "std           0.472551\n",
+      "count    276909.000000\n",
+      "mean          7.761796\n",
+      "std           0.473107\n",
       "min           0.370000\n",
       "25%           7.520000\n",
       "50%           7.890000\n",
@@ -3909,12 +3909,12 @@
       "dtype: float64\n",
       "Unusable results: 173\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 10.5973790448676): 7\n"
+      "Results outside threshold (0.0 to 10.600436582333938): 7\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3940,10 +3940,10 @@
    "execution_count": 47,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:12.796230Z",
-     "iopub.status.busy": "2024-09-05T03:54:12.795858Z",
-     "iopub.status.idle": "2024-09-05T03:54:13.066553Z",
-     "shell.execute_reply": "2024-09-05T03:54:13.065928Z"
+     "iopub.execute_input": "2024-11-05T03:39:18.464689Z",
+     "iopub.status.busy": "2024-11-05T03:39:18.464349Z",
+     "iopub.status.idle": "2024-11-05T03:39:18.740968Z",
+     "shell.execute_reply": "2024-11-05T03:39:18.740388Z"
     }
    },
    "outputs": [
@@ -4018,35 +4018,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465641</th>\n",
+       "      <th>1469161</th>\n",
        "      <td>7.9</td>\n",
        "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.9 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465642</th>\n",
+       "      <th>1469162</th>\n",
        "      <td>7.3</td>\n",
        "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.3 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465644</th>\n",
+       "      <th>1469164</th>\n",
        "      <td>7.8</td>\n",
        "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.8 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465645</th>\n",
+       "      <th>1469165</th>\n",
        "      <td>7.7</td>\n",
        "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
        "      <td>7.7 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465647</th>\n",
+       "      <th>1469167</th>\n",
        "      <td>7.6</td>\n",
        "      <td>std units</td>\n",
        "      <td>NaN</td>\n",
@@ -4054,7 +4054,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>276560 rows × 4 columns</p>\n",
+       "<p>277082 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -4065,11 +4065,11 @@
        "12                    7.92                          None     NaN   \n",
        "13                     7.8                          None     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1465641                7.9                     std units     NaN   \n",
-       "1465642                7.3                     std units     NaN   \n",
-       "1465644                7.8                     std units     NaN   \n",
-       "1465645                7.7                     std units     NaN   \n",
-       "1465647                7.6                     std units     NaN   \n",
+       "1469161                7.9                     std units     NaN   \n",
+       "1469162                7.3                     std units     NaN   \n",
+       "1469164                7.8                     std units     NaN   \n",
+       "1469165                7.7                     std units     NaN   \n",
+       "1469167                7.6                     std units     NaN   \n",
        "\n",
        "                         pH  \n",
        "4        7.48 dimensionless  \n",
@@ -4078,13 +4078,13 @@
        "12       7.92 dimensionless  \n",
        "13        7.8 dimensionless  \n",
        "...                     ...  \n",
-       "1465641   7.9 dimensionless  \n",
-       "1465642   7.3 dimensionless  \n",
-       "1465644   7.8 dimensionless  \n",
-       "1465645   7.7 dimensionless  \n",
-       "1465647   7.6 dimensionless  \n",
+       "1469161   7.9 dimensionless  \n",
+       "1469162   7.3 dimensionless  \n",
+       "1469164   7.8 dimensionless  \n",
+       "1469165   7.7 dimensionless  \n",
+       "1469167   7.6 dimensionless  \n",
        "\n",
-       "[276560 rows x 4 columns]"
+       "[277082 rows x 4 columns]"
       ]
      },
      "execution_count": 47,
@@ -4115,10 +4115,10 @@
    "execution_count": 48,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:13.068902Z",
-     "iopub.status.busy": "2024-09-05T03:54:13.068534Z",
-     "iopub.status.idle": "2024-09-05T03:54:40.816304Z",
-     "shell.execute_reply": "2024-09-05T03:54:40.815767Z"
+     "iopub.execute_input": "2024-11-05T03:39:18.742979Z",
+     "iopub.status.busy": "2024-11-05T03:39:18.742636Z",
+     "iopub.status.idle": "2024-11-05T03:39:46.736179Z",
+     "shell.execute_reply": "2024-11-05T03:39:46.735570Z"
     }
    },
    "outputs": [
@@ -4127,23 +4127,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    267183.000000\n",
-      "mean         21.709492\n",
-      "std          95.351598\n",
+      "count    267674.000000\n",
+      "mean         21.694178\n",
+      "std          95.266672\n",
       "min          -0.020000\n",
-      "25%          18.050000\n",
-      "50%          24.900000\n",
+      "25%          18.010000\n",
+      "50%          24.890000\n",
       "75%          28.650000\n",
       "max       48930.000000\n",
       "dtype: float64\n",
       "Unusable results: 1252\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 593.8190792053073): 4\n"
+      "Results outside threshold (0.0 to 593.2942122262942): 4\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4162,10 +4162,10 @@
    "execution_count": 49,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:40.818534Z",
-     "iopub.status.busy": "2024-09-05T03:54:40.818188Z",
-     "iopub.status.idle": "2024-09-05T03:54:41.099399Z",
-     "shell.execute_reply": "2024-09-05T03:54:41.098900Z"
+     "iopub.execute_input": "2024-11-05T03:39:46.738097Z",
+     "iopub.status.busy": "2024-11-05T03:39:46.737779Z",
+     "iopub.status.idle": "2024-11-05T03:39:47.026130Z",
+     "shell.execute_reply": "2024-11-05T03:39:47.025606Z"
     }
    },
    "outputs": [
@@ -4240,43 +4240,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465333</th>\n",
-       "      <td>21.3</td>\n",
-       "      <td>PSS</td>\n",
+       "      <th>1468839</th>\n",
+       "      <td>0.56</td>\n",
+       "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>21.3 Practical_Salinity_Units</td>\n",
+       "      <td>0.56 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465335</th>\n",
-       "      <td>20.97</td>\n",
+       "      <th>1468842</th>\n",
+       "      <td>25.75</td>\n",
        "      <td>PSS</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>20.97 Practical_Salinity_Units</td>\n",
+       "      <td>25.75 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465338</th>\n",
-       "      <td>19.9</td>\n",
-       "      <td>PSS</td>\n",
+       "      <th>1468851</th>\n",
+       "      <td>18.14</td>\n",
+       "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>19.9 Practical_Salinity_Units</td>\n",
+       "      <td>18.14 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465344</th>\n",
-       "      <td>20.4</td>\n",
-       "      <td>PSS</td>\n",
+       "      <th>1468922</th>\n",
+       "      <td>0.15</td>\n",
+       "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>20.4 Practical_Salinity_Units</td>\n",
+       "      <td>0.15 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465345</th>\n",
-       "      <td>21.8</td>\n",
-       "      <td>PSS</td>\n",
+       "      <th>1468928</th>\n",
+       "      <td>25.66</td>\n",
+       "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>21.8 Practical_Salinity_Units</td>\n",
+       "      <td>25.66 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>268435 rows × 4 columns</p>\n",
+       "<p>268926 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -4287,11 +4287,11 @@
        "15                    0.18                          ppth     NaN   \n",
        "17                     5.9                          ppth     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1465333               21.3                           PSS     NaN   \n",
-       "1465335              20.97                           PSS     NaN   \n",
-       "1465338               19.9                           PSS     NaN   \n",
-       "1465344               20.4                           PSS     NaN   \n",
-       "1465345               21.8                           PSS     NaN   \n",
+       "1468839               0.56                          ppth     NaN   \n",
+       "1468842              25.75                           PSS     NaN   \n",
+       "1468851              18.14                          ppth     NaN   \n",
+       "1468922               0.15                          ppth     NaN   \n",
+       "1468928              25.66                          ppth     NaN   \n",
        "\n",
        "                               Salinity  \n",
        "1         40.0 Practical_Salinity_Units  \n",
@@ -4300,13 +4300,13 @@
        "15        0.18 Practical_Salinity_Units  \n",
        "17         5.9 Practical_Salinity_Units  \n",
        "...                                 ...  \n",
-       "1465333   21.3 Practical_Salinity_Units  \n",
-       "1465335  20.97 Practical_Salinity_Units  \n",
-       "1465338   19.9 Practical_Salinity_Units  \n",
-       "1465344   20.4 Practical_Salinity_Units  \n",
-       "1465345   21.8 Practical_Salinity_Units  \n",
+       "1468839   0.56 Practical_Salinity_Units  \n",
+       "1468842  25.75 Practical_Salinity_Units  \n",
+       "1468851  18.14 Practical_Salinity_Units  \n",
+       "1468922   0.15 Practical_Salinity_Units  \n",
+       "1468928  25.66 Practical_Salinity_Units  \n",
        "\n",
-       "[268435 rows x 4 columns]"
+       "[268926 rows x 4 columns]"
       ]
      },
      "execution_count": 49,
@@ -4331,10 +4331,10 @@
    "execution_count": 50,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:41.101643Z",
-     "iopub.status.busy": "2024-09-05T03:54:41.101303Z",
-     "iopub.status.idle": "2024-09-05T03:54:50.672476Z",
-     "shell.execute_reply": "2024-09-05T03:54:50.671940Z"
+     "iopub.execute_input": "2024-11-05T03:39:47.027917Z",
+     "iopub.status.busy": "2024-11-05T03:39:47.027585Z",
+     "iopub.status.idle": "2024-11-05T03:39:55.708751Z",
+     "shell.execute_reply": "2024-11-05T03:39:55.708190Z"
     }
    },
    "outputs": [
@@ -4378,10 +4378,10 @@
    "execution_count": 51,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:50.674964Z",
-     "iopub.status.busy": "2024-09-05T03:54:50.674582Z",
-     "iopub.status.idle": "2024-09-05T03:54:50.750593Z",
-     "shell.execute_reply": "2024-09-05T03:54:50.750012Z"
+     "iopub.execute_input": "2024-11-05T03:39:55.710869Z",
+     "iopub.status.busy": "2024-11-05T03:39:55.710410Z",
+     "iopub.status.idle": "2024-11-05T03:39:55.784331Z",
+     "shell.execute_reply": "2024-11-05T03:39:55.783848Z"
     }
    },
    "outputs": [
@@ -4428,7 +4428,7 @@
        "      <td>0.4475 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>240679</th>\n",
+       "      <th>240678</th>\n",
        "      <td>0.425</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -4456,36 +4456,36 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1463816</th>\n",
+       "      <th>1466662</th>\n",
        "      <td>0.084</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.084 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1463824</th>\n",
+       "      <th>1466670</th>\n",
        "      <td>0.166</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.166 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1463834</th>\n",
+       "      <th>1466680</th>\n",
        "      <td>0.091</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.091 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1463868</th>\n",
+       "      <th>1466714</th>\n",
        "      <td>0.057</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.057 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464023</th>\n",
-       "      <td>0.030</td>\n",
+       "      <th>1466869</th>\n",
+       "      <td>0.03</td>\n",
        "      <td>mg/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.03 milligram / liter</td>\n",
@@ -4499,28 +4499,28 @@
        "        ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
        "221815                0.39                          mg/L     NaN   \n",
        "237910              0.4475                          mg/L     NaN   \n",
-       "240679               0.425                          mg/L     NaN   \n",
+       "240678               0.425                          mg/L     NaN   \n",
        "254255              0.4625                          mg/L     NaN   \n",
        "255860             0.33625                          mg/L     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1463816              0.084                          mg/l     NaN   \n",
-       "1463824              0.166                          mg/l     NaN   \n",
-       "1463834              0.091                          mg/l     NaN   \n",
-       "1463868              0.057                          mg/l     NaN   \n",
-       "1464023              0.030                          mg/l     NaN   \n",
+       "1466662              0.084                          mg/l     NaN   \n",
+       "1466670              0.166                          mg/l     NaN   \n",
+       "1466680              0.091                          mg/l     NaN   \n",
+       "1466714              0.057                          mg/l     NaN   \n",
+       "1466869               0.03                          mg/l     NaN   \n",
        "\n",
        "                          Nitrogen  \n",
        "221815      0.39 milligram / liter  \n",
        "237910    0.4475 milligram / liter  \n",
-       "240679     0.425 milligram / liter  \n",
+       "240678     0.425 milligram / liter  \n",
        "254255    0.4625 milligram / liter  \n",
        "255860   0.33625 milligram / liter  \n",
        "...                            ...  \n",
-       "1463816    0.084 milligram / liter  \n",
-       "1463824    0.166 milligram / liter  \n",
-       "1463834    0.091 milligram / liter  \n",
-       "1463868    0.057 milligram / liter  \n",
-       "1464023     0.03 milligram / liter  \n",
+       "1466662    0.084 milligram / liter  \n",
+       "1466670    0.166 milligram / liter  \n",
+       "1466680    0.091 milligram / liter  \n",
+       "1466714    0.057 milligram / liter  \n",
+       "1466869     0.03 milligram / liter  \n",
        "\n",
        "[165 rows x 4 columns]"
       ]
@@ -4547,10 +4547,10 @@
    "execution_count": 52,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:50.752674Z",
-     "iopub.status.busy": "2024-09-05T03:54:50.752504Z",
-     "iopub.status.idle": "2024-09-05T03:54:55.720249Z",
-     "shell.execute_reply": "2024-09-05T03:54:55.719654Z"
+     "iopub.execute_input": "2024-11-05T03:39:55.786201Z",
+     "iopub.status.busy": "2024-11-05T03:39:55.785877Z",
+     "iopub.status.idle": "2024-11-05T03:40:00.636312Z",
+     "shell.execute_reply": "2024-11-05T03:40:00.635694Z"
     }
    },
    "outputs": [
@@ -4559,23 +4559,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count     10.000000\n",
-      "mean     703.700000\n",
-      "std       79.037333\n",
-      "min      606.000000\n",
-      "25%      627.750000\n",
-      "50%      731.500000\n",
-      "75%      775.750000\n",
-      "max      776.000000\n",
+      "count       11.000000\n",
+      "mean      2503.363636\n",
+      "std       5969.279978\n",
+      "min        606.000000\n",
+      "25%        629.500000\n",
+      "50%        775.000000\n",
+      "75%        776.000000\n",
+      "max      20500.000000\n",
       "dtype: float64\n",
       "Unusable results: 8\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 1177.9239977057255): 0\n"
+      "Results outside threshold (0.0 to 38319.04350375742): 0\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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Wjx49Qm0VFRVas2aN/vSnP8nv9ys2Nja0zOfzyefzRazH6/XW+Ec8lz4/5K9w1onOH/Q4bs614Zb6qtsPf8x+6jRur9Ht9UnU6Ab1XV9txo56+Ojfv78++eSTsLZRo0apY8eOGj9+fFjwAAAA/3uiHj6SkpLUuXPnsLYLLrhAzZo1i2gHAAD/e/iGUwAAYFWdXWr7fatXr7YxDAAAcABe+QAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFgV9fAxbdo0XXnllUpKSlKLFi108803q7i4ONrDAAAAh4p6+Hj//feVl5en9evXq6CgQIFAQAMHDtTJkyejPRQAAHCgRtFe4YoVK8LuL1iwQC1atNCWLVt07bXXRns4AADgMFEPHz9UWloqSWratGmVy/1+v/x+f+h+WVmZJCkQCCgQCFT5mMr2sy2vji/W1Pox9cEXY8L+dRu31VfVvng++6lTuL1Gt9cnUaMbNJT6ajO+xxhTZ0f/YDCom266SSUlJVq7dm2VffLz8zVlypSI9oULFyoxMbGupgYAAKKovLxcw4cPV2lpqZKTk6vtW6fh44EHHtDbb7+ttWvXqlWrVlX2qeqVj8zMTB05cuSskw8EAiooKNCAAQPk9XprNafO+e/Uqn998cUYPdkrqImbY+QPeup7OlHntvq25edGtJ3PfuoUbq/R7fVJ1OgGDaW+srIypaamnlP4qLO3XR566CG9+eabWrNmzVmDhyT5fD75fL6Idq/XW+Mf8Vz6/JC/wlknOn/Q47g514Zb6qtuP/wx+6nTuL1Gt9cnUaMb1Hd9tRk76uHDGKPf/OY3Wrp0qVavXq2srKxoDwEAABws6uEjLy9PCxcu1BtvvKGkpCQdPHhQkpSSkqKEhIRoDwcAABwm6t/zMXfuXJWWlqpfv35KT08P3ZYsWRLtoQAAgAPVydsuAAAAZ8NvuwAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArGpU3xMAAFSt7e/fqvMxfLFGM3pLnfPfkb/CU+fj1Qe31/hj6vty+pA6nlX1eOUDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFbVWfiYM2eO2rZtq/j4eGVnZ2vjxo11NRQAAHCQOgkfS5Ys0dixYzV58mT9+9//Vrdu3ZSbm6vDhw/XxXAAAMBB6iR8zJo1S6NHj9aoUaN0+eWX64UXXlBiYqLmzZtXF8MBAAAHaRTtFZ4+fVpbtmzRhAkTQm0xMTHKyclRYWFhRH+/3y+/3x+6X1paKkk6duyYAoFAlWMEAgGVl5fr6NGj8nq9tZpfozMna9W/vjQKGpWXB9UoEKOKoKe+pxN1bqvv6NGjEW3ns586hdtrrO/6bByv3PZcrIrba/wx9VV1zDpfx48flyQZY2rubKLsq6++MpLMunXrwtrHjRtnevfuHdF/8uTJRhI3bty4cePGzQW3ffv21ZgVov7KR21NmDBBY8eODd0PBoM6duyYmjVrJo+n6gRXVlamzMxM7du3T8nJybamapXba3R7fRI1uoHb65Oo0Q0aSn3GGB0/flwZGRk19o16+EhNTVVsbKwOHToU1n7o0CGlpaVF9Pf5fPL5fGFtjRs3PqexkpOTXbkjfZ/ba3R7fRI1uoHb65Oo0Q0aQn0pKSnn1C/qHziNi4tTz549tXLlylBbMBjUypUr1adPn2gPBwAAHKZO3nYZO3asRo4cqV69eql3796aPXu2Tp48qVGjRtXFcAAAwEHqJHwMGzZMX3/9tSZNmqSDBw+qe/fuWrFihVq2bBmV9ft8Pk2ePDni7Ro3cXuNbq9PokY3cHt9EjW6gRPr8xhzLtfEAAAARAe/7QIAAKwifAAAAKsIHwAAwCrCBwAAsMqR4WPOnDlq27at4uPjlZ2drY0bN9b3lCJMmzZNV155pZKSktSiRQvdfPPNKi4uDuvTr18/eTyesNv9998f1mfv3r0aMmSIEhMT1aJFC40bN05nzpwJ67N69Wr16NFDPp9PF198sRYsWFDX5UmS8vPzI+bfsWPH0PJTp04pLy9PzZo104UXXqhf/OIXEV8+15Drk6S2bdtG1OjxeJSXlyfJedtwzZo1uvHGG5WRkSGPx6Nly5aFLTfGaNKkSUpPT1dCQoJycnK0Y8eOsD7Hjh3TiBEjlJycrMaNG+uee+7RiRMnwvp8/PHHuuaaaxQfH6/MzEzNmDEjYi6vvfaaOnbsqPj4eHXp0kXLly+v8xoDgYDGjx+vLl266IILLlBGRobuvPNO7d+/P2wdVW336dOnO6JGSbrrrrsi5j9o0KCwPg15O9ZUX1XPSY/Ho5kzZ4b6NPRteC7nCJvHUOvn1aj8oItFixcvNnFxcWbevHnm008/NaNHjzaNGzc2hw4dqu+phcnNzTXz588327ZtM0VFReZnP/uZad26tTlx4kSoz3XXXWdGjx5tDhw4ELqVlpaGlp85c8Z07tzZ5OTkmK1bt5rly5eb1NRUM2HChFCf//znPyYxMdGMHTvWbN++3Tz//PMmNjbWrFixos5rnDx5sunUqVPY/L/++uvQ8vvvv99kZmaalStXms2bN5uf/OQn5qqrrnJMfcYYc/jw4bD6CgoKjCSzatUqY4zztuHy5cvN//3f/5nXX3/dSDJLly4NWz59+nSTkpJili1bZj766CNz0003maysLPPtt9+G+gwaNMh069bNrF+/3nzwwQfm4osvNnfccUdoeWlpqWnZsqUZMWKE2bZtm1m0aJFJSEgwL774YqjPhx9+aGJjY82MGTPM9u3bzRNPPGG8Xq/55JNP6rTGkpISk5OTY5YsWWI+//xzU1hYaHr37m169uwZto42bdqYqVOnhm3X7z93G3KNxhgzcuRIM2jQoLD5Hzt2LKxPQ96ONdX3/boOHDhg5s2bZzwej9m1a1eoT0PfhudyjrB1DK2P86rjwkfv3r1NXl5e6H5FRYXJyMgw06ZNq8dZ1ezw4cNGknn//fdDbdddd5155JFHzvqY5cuXm5iYGHPw4MFQ29y5c01ycrLx+/3GGGMee+wx06lTp7DHDRs2zOTm5ka3gCpMnjzZdOvWrcplJSUlxuv1mtdeey3U9tlnnxlJprCw0BjT8OuryiOPPGLat29vgsGgMcbZ2/CHB/VgMGjS0tLMzJkzQ20lJSXG5/OZRYsWGWOM2b59u5FkNm3aFOrz9ttvG4/HY7766itjjDF//vOfTZMmTUL1GWPM+PHjTYcOHUL3b7vtNjNkyJCw+WRnZ5v77ruvTmusysaNG40ks2fPnlBbmzZtzHPPPXfWxzT0GkeOHGmGDh161sc4aTueyzYcOnSo+elPfxrW5qRtaEzkOcLmMbQ+zquOetvl9OnT2rJli3JyckJtMTExysnJUWFhYT3OrGalpaWSpKZNm4a1//3vf1dqaqo6d+6sCRMmqLy8PLSssLBQXbp0CftyttzcXJWVlenTTz8N9fn+36Oyj62/x44dO5SRkaF27dppxIgR2rt3ryRpy5YtCgQCYXPr2LGjWrduHZqbE+r7vtOnT+uVV17R3XffHfajh07fhpV2796tgwcPhs0lJSVF2dnZYduscePG6tWrV6hPTk6OYmJitGHDhlCfa6+9VnFxcaE+ubm5Ki4u1jfffBPq0xBqlr57bno8nojflJo+fbqaNWumK664QjNnzgx7KdsJNa5evVotWrRQhw4d9MADD4T9hLqbtuOhQ4f01ltv6Z577olY5qRt+MNzhK1jaH2dV+v9V21r48iRI6qoqIj4ptSWLVvq888/r6dZ1SwYDGrMmDHq27evOnfuHGofPny42rRpo4yMDH388ccaP368iouL9frrr0uSDh48WGWtlcuq61NWVqZvv/1WCQkJdVZXdna2FixYoA4dOujAgQOaMmWKrrnmGm3btk0HDx5UXFxcxAG9ZcuWNc69cll1fWzU90PLli1TSUmJ7rrrrlCb07fh91XOp6q5fH+uLVq0CFveqFEjNW3aNKxPVlZWxDoqlzVp0uSsNVeuw5ZTp05p/PjxuuOOO8J+kOvhhx9Wjx491LRpU61bt04TJkzQgQMHNGvWrFAdDbnGQYMG6ZZbblFWVpZ27dqlxx9/XIMHD1ZhYaFiY2NdtR1ffvllJSUl6ZZbbglrd9I2rOocYesY+s0339TLedVR4cOp8vLytG3bNq1duzas/d577w39v0uXLkpPT1f//v21a9cutW/f3vY0a23w4MGh/3ft2lXZ2dlq06aNXn31VauhwJa//vWvGjx4cNjPRTt9G/4vCwQCuu2222SM0dy5c8OWjR07NvT/rl27Ki4uTvfdd5+mTZvmiK+wvv3220P/79Kli7p27ar27dtr9erV6t+/fz3OLPrmzZunESNGKD4+PqzdSdvwbOcIN3PU2y6pqamKjY2N+LTvoUOHlJaWVk+zqt5DDz2kN998U6tWrVKrVq2q7ZudnS1J2rlzpyQpLS2tylorl1XXJzk52XoAaNy4sS699FLt3LlTaWlpOn36tEpKSiLmVtPcK5dV18d2fXv27NG7776rX//619X2c/I2rJxPdc+vtLQ0HT58OGz5mTNndOzYsahsV1vP48rgsWfPHhUUFNT4M+TZ2dk6c+aMvvzyS0nOqPH72rVrp9TU1LD90g3b8YMPPlBxcXGNz0up4W7Ds50jbB1D6+u86qjwERcXp549e2rlypWhtmAwqJUrV6pPnz71OLNIxhg99NBDWrp0qd57772Il/eqUlRUJElKT0+XJPXp00effPJJ2EGi8kB5+eWXh/p8/+9R2ac+/h4nTpzQrl27lJ6erp49e8rr9YbNrbi4WHv37g3NzUn1zZ8/Xy1atNCQIUOq7efkbZiVlaW0tLSwuZSVlWnDhg1h26ykpERbtmwJ9XnvvfcUDAZDwatPnz5as2aNAoFAqE9BQYE6dOigJk2ahPrUV82VwWPHjh1699131axZsxofU1RUpJiYmNBbFQ29xh/673//q6NHj4btl07fjtJ3r0b27NlT3bp1q7FvQ9uGNZ0jbB1D6+28WmcfZa0jixcvNj6fzyxYsMBs377d3HvvvaZx48Zhn/ZtCB544AGTkpJiVq9eHXapV3l5uTHGmJ07d5qpU6eazZs3m927d5s33njDtGvXzlx77bWhdVReRjVw4EBTVFRkVqxYYZo3b17lZVTjxo0zn332mZkzZ461S1EfffRRs3r1arN7927z4YcfmpycHJOammoOHz5sjPnuMrHWrVub9957z2zevNn06dPH9OnTxzH1VaqoqDCtW7c248ePD2t34jY8fvy42bp1q9m6dauRZGbNmmW2bt0autJj+vTppnHjxuaNN94wH3/8sRk6dGiVl9peccUVZsOGDWbt2rXmkksuCbtEs6SkxLRs2dL86le/Mtu2bTOLFy82iYmJEZcwNmrUyPzhD38wn332mZk8eXLULmGsrsbTp0+bm266ybRq1coUFRWFPTcrrw5Yt26dee6550xRUZHZtWuXeeWVV0zz5s3NnXfe6Ygajx8/bn73u9+ZwsJCs3v3bvPuu++aHj16mEsuucScOnUqtI6GvB1r2k+N+e5S2cTERDN37tyIxzthG9Z0jjDG3jG0Ps6rjgsfxhjz/PPPm9atW5u4uDjTu3dvs379+vqeUgRJVd7mz59vjDFm79695tprrzVNmzY1Pp/PXHzxxWbcuHFh3xFhjDFffvmlGTx4sElISDCpqanm0UcfNYFAIKzPqlWrTPfu3U1cXJxp165daIy6NmzYMJOenm7i4uLMRRddZIYNG2Z27twZWv7tt9+aBx980DRp0sQkJiaan//85+bAgQNh62jI9VV65513jCRTXFwc1u7Ebbhq1aoq98uRI0caY7673HbixImmZcuWxufzmf79+0fUffToUXPHHXeYCy+80CQnJ5tRo0aZ48ePh/X56KOPzNVXX218Pp+56KKLzPTp0yPm8uqrr5pLL73UxMXFmU6dOpm33nqrzmvcvXv3WZ+bld/dsmXLFpOdnW1SUlJMfHy8ueyyy8wzzzwTduJuyDWWl5ebgQMHmubNmxuv12vatGljRo8eHXEiacjbsab91BhjXnzxRZOQkGBKSkoiHu+EbVjTOcIYu8dQ2+dVjzHG1NGLKgAAABEc9ZkPAADgfIQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVv0/PO9nXMk7B6AAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4594,10 +4594,10 @@
    "execution_count": 53,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:55.723005Z",
-     "iopub.status.busy": "2024-09-05T03:54:55.722675Z",
-     "iopub.status.idle": "2024-09-05T03:54:55.795299Z",
-     "shell.execute_reply": "2024-09-05T03:54:55.794707Z"
+     "iopub.execute_input": "2024-11-05T03:40:00.638638Z",
+     "iopub.status.busy": "2024-11-05T03:40:00.638276Z",
+     "iopub.status.idle": "2024-11-05T03:40:00.707749Z",
+     "shell.execute_reply": "2024-11-05T03:40:00.707303Z"
     }
    },
    "outputs": [
@@ -4630,95 +4630,95 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>385072</th>\n",
-       "      <td>NaN</td>\n",
+       "      <th>383994</th>\n",
+       "      <td>626</td>\n",
        "      <td>uS/cm</td>\n",
-       "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>626.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>390188</th>\n",
-       "      <td>NaN</td>\n",
+       "      <th>388612</th>\n",
+       "      <td>688</td>\n",
        "      <td>uS/cm</td>\n",
-       "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>688.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>391236</th>\n",
-       "      <td>NaN</td>\n",
+       "      <th>406183</th>\n",
+       "      <td>606</td>\n",
        "      <td>uS/cm</td>\n",
-       "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>606.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>393815</th>\n",
-       "      <td>NaN</td>\n",
+       "      <th>407044</th>\n",
+       "      <td>606</td>\n",
        "      <td>uS/cm</td>\n",
-       "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>606.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>394231</th>\n",
-       "      <td>NaN</td>\n",
+       "      <th>410166</th>\n",
+       "      <td>633</td>\n",
        "      <td>uS/cm</td>\n",
-       "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>633.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>396564</th>\n",
+       "      <th>475023</th>\n",
        "      <td>NaN</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>401375</th>\n",
+       "      <th>480139</th>\n",
        "      <td>NaN</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>417408</th>\n",
+       "      <th>481187</th>\n",
        "      <td>NaN</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>479322</th>\n",
-       "      <td>626</td>\n",
+       "      <th>483766</th>\n",
+       "      <td>NaN</td>\n",
        "      <td>uS/cm</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>626.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>483940</th>\n",
-       "      <td>688</td>\n",
+       "      <th>484182</th>\n",
+       "      <td>NaN</td>\n",
        "      <td>uS/cm</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>688.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>501511</th>\n",
-       "      <td>606</td>\n",
+       "      <th>486515</th>\n",
+       "      <td>NaN</td>\n",
        "      <td>uS/cm</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>606.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>502372</th>\n",
-       "      <td>606</td>\n",
+       "      <th>491326</th>\n",
+       "      <td>NaN</td>\n",
        "      <td>uS/cm</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>606.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>505494</th>\n",
-       "      <td>633</td>\n",
+       "      <th>507359</th>\n",
+       "      <td>NaN</td>\n",
        "      <td>uS/cm</td>\n",
+       "      <td>ResultMeasureValue: missing (NaN) result</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>633.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>574710</th>\n",
@@ -4755,70 +4755,80 @@
        "      <td>NaN</td>\n",
        "      <td>775.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>874720</th>\n",
+       "      <td>20500</td>\n",
+       "      <td>uS/cm</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>20500.0 microsiemens / centimeter</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode  \\\n",
-       "385072                NaN                         uS/cm   \n",
-       "390188                NaN                         uS/cm   \n",
-       "391236                NaN                         uS/cm   \n",
-       "393815                NaN                         uS/cm   \n",
-       "394231                NaN                         uS/cm   \n",
-       "396564                NaN                         uS/cm   \n",
-       "401375                NaN                         uS/cm   \n",
-       "417408                NaN                         uS/cm   \n",
-       "479322                626                         uS/cm   \n",
-       "483940                688                         uS/cm   \n",
-       "501511                606                         uS/cm   \n",
-       "502372                606                         uS/cm   \n",
-       "505494                633                         uS/cm   \n",
+       "383994                626                         uS/cm   \n",
+       "388612                688                         uS/cm   \n",
+       "406183                606                         uS/cm   \n",
+       "407044                606                         uS/cm   \n",
+       "410166                633                         uS/cm   \n",
+       "475023                NaN                         uS/cm   \n",
+       "480139                NaN                         uS/cm   \n",
+       "481187                NaN                         uS/cm   \n",
+       "483766                NaN                         uS/cm   \n",
+       "484182                NaN                         uS/cm   \n",
+       "486515                NaN                         uS/cm   \n",
+       "491326                NaN                         uS/cm   \n",
+       "507359                NaN                         uS/cm   \n",
        "574710                775                         uS/cm   \n",
        "577458                776                         uS/cm   \n",
        "578428                776                         uS/cm   \n",
        "580540                776                         uS/cm   \n",
        "585811                775                         uS/cm   \n",
+       "874720              20500                         uS/cm   \n",
        "\n",
        "                                         QA_flag  \\\n",
-       "385072  ResultMeasureValue: missing (NaN) result   \n",
-       "390188  ResultMeasureValue: missing (NaN) result   \n",
-       "391236  ResultMeasureValue: missing (NaN) result   \n",
-       "393815  ResultMeasureValue: missing (NaN) result   \n",
-       "394231  ResultMeasureValue: missing (NaN) result   \n",
-       "396564  ResultMeasureValue: missing (NaN) result   \n",
-       "401375  ResultMeasureValue: missing (NaN) result   \n",
-       "417408  ResultMeasureValue: missing (NaN) result   \n",
-       "479322                                       NaN   \n",
-       "483940                                       NaN   \n",
-       "501511                                       NaN   \n",
-       "502372                                       NaN   \n",
-       "505494                                       NaN   \n",
+       "383994                                       NaN   \n",
+       "388612                                       NaN   \n",
+       "406183                                       NaN   \n",
+       "407044                                       NaN   \n",
+       "410166                                       NaN   \n",
+       "475023  ResultMeasureValue: missing (NaN) result   \n",
+       "480139  ResultMeasureValue: missing (NaN) result   \n",
+       "481187  ResultMeasureValue: missing (NaN) result   \n",
+       "483766  ResultMeasureValue: missing (NaN) result   \n",
+       "484182  ResultMeasureValue: missing (NaN) result   \n",
+       "486515  ResultMeasureValue: missing (NaN) result   \n",
+       "491326  ResultMeasureValue: missing (NaN) result   \n",
+       "507359  ResultMeasureValue: missing (NaN) result   \n",
        "574710                                       NaN   \n",
        "577458                                       NaN   \n",
        "578428                                       NaN   \n",
        "580540                                       NaN   \n",
        "585811                                       NaN   \n",
-       "\n",
-       "                           Conductivity  \n",
-       "385072                              NaN  \n",
-       "390188                              NaN  \n",
-       "391236                              NaN  \n",
-       "393815                              NaN  \n",
-       "394231                              NaN  \n",
-       "396564                              NaN  \n",
-       "401375                              NaN  \n",
-       "417408                              NaN  \n",
-       "479322  626.0 microsiemens / centimeter  \n",
-       "483940  688.0 microsiemens / centimeter  \n",
-       "501511  606.0 microsiemens / centimeter  \n",
-       "502372  606.0 microsiemens / centimeter  \n",
-       "505494  633.0 microsiemens / centimeter  \n",
-       "574710  775.0 microsiemens / centimeter  \n",
-       "577458  776.0 microsiemens / centimeter  \n",
-       "578428  776.0 microsiemens / centimeter  \n",
-       "580540  776.0 microsiemens / centimeter  \n",
-       "585811  775.0 microsiemens / centimeter  "
+       "874720                                       NaN   \n",
+       "\n",
+       "                             Conductivity  \n",
+       "383994    626.0 microsiemens / centimeter  \n",
+       "388612    688.0 microsiemens / centimeter  \n",
+       "406183    606.0 microsiemens / centimeter  \n",
+       "407044    606.0 microsiemens / centimeter  \n",
+       "410166    633.0 microsiemens / centimeter  \n",
+       "475023                                NaN  \n",
+       "480139                                NaN  \n",
+       "481187                                NaN  \n",
+       "483766                                NaN  \n",
+       "484182                                NaN  \n",
+       "486515                                NaN  \n",
+       "491326                                NaN  \n",
+       "507359                                NaN  \n",
+       "574710    775.0 microsiemens / centimeter  \n",
+       "577458    776.0 microsiemens / centimeter  \n",
+       "578428    776.0 microsiemens / centimeter  \n",
+       "580540    776.0 microsiemens / centimeter  \n",
+       "585811    775.0 microsiemens / centimeter  \n",
+       "874720  20500.0 microsiemens / centimeter  "
       ]
      },
      "execution_count": 53,
@@ -4843,10 +4853,10 @@
    "execution_count": 54,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:54:55.797417Z",
-     "iopub.status.busy": "2024-09-05T03:54:55.797086Z",
-     "iopub.status.idle": "2024-09-05T03:55:08.802668Z",
-     "shell.execute_reply": "2024-09-05T03:55:08.802117Z"
+     "iopub.execute_input": "2024-11-05T03:40:00.709476Z",
+     "iopub.status.busy": "2024-11-05T03:40:00.709309Z",
+     "iopub.status.idle": "2024-11-05T03:40:13.770358Z",
+     "shell.execute_reply": "2024-11-05T03:40:13.769787Z"
     }
    },
    "outputs": [
@@ -4855,18 +4865,18 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    43333.000000\n",
+      "count    43334.000000\n",
       "mean         0.014368\n",
       "std          0.022741\n",
       "min         -0.000506\n",
       "25%          0.004600\n",
-      "50%          0.008720\n",
+      "50%          0.008725\n",
       "75%          0.016360\n",
       "max          1.552000\n",
       "dtype: float64\n",
       "Unusable results: 1115\n",
       "Usable results with inferred units: 4\n",
-      "Results outside threshold (0.0 to 0.15081314171981786): 197\n"
+      "Results outside threshold (0.0 to 0.1508140878070869): 197\n"
      ]
     },
     {
@@ -4890,10 +4900,10 @@
    "execution_count": 55,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:08.805027Z",
-     "iopub.status.busy": "2024-09-05T03:55:08.804618Z",
-     "iopub.status.idle": "2024-09-05T03:55:08.930916Z",
-     "shell.execute_reply": "2024-09-05T03:55:08.930419Z"
+     "iopub.execute_input": "2024-11-05T03:40:13.772057Z",
+     "iopub.status.busy": "2024-11-05T03:40:13.771882Z",
+     "iopub.status.idle": "2024-11-05T03:40:13.895053Z",
+     "shell.execute_reply": "2024-11-05T03:40:13.894513Z"
     }
    },
    "outputs": [
@@ -4968,35 +4978,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465325</th>\n",
-       "      <td>18.16</td>\n",
+       "      <th>1468163</th>\n",
+       "      <td>26.48</td>\n",
        "      <td>ug/l</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.01816 milligram / liter</td>\n",
+       "      <td>0.02648 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465326</th>\n",
-       "      <td>41.09</td>\n",
+       "      <th>1468173</th>\n",
+       "      <td>1.83</td>\n",
        "      <td>ug/l</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.04109 milligram / liter</td>\n",
+       "      <td>0.00183 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465337</th>\n",
+       "      <th>1468184</th>\n",
        "      <td>23.55</td>\n",
        "      <td>ug/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.02355 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465339</th>\n",
+       "      <th>1468186</th>\n",
        "      <td>37.07</td>\n",
        "      <td>ug/l</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.03707 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465340</th>\n",
+       "      <th>1468187</th>\n",
        "      <td>61.95</td>\n",
        "      <td>ug/l</td>\n",
        "      <td>NaN</td>\n",
@@ -5004,7 +5014,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>44448 rows × 4 columns</p>\n",
+       "<p>44449 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -5015,11 +5025,11 @@
        "228074                3.87                          ug/L     NaN   \n",
        "235704                8.15                          ug/L     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1465325              18.16                          ug/l     NaN   \n",
-       "1465326              41.09                          ug/l     NaN   \n",
-       "1465337              23.55                          ug/l     NaN   \n",
-       "1465339              37.07                          ug/l     NaN   \n",
-       "1465340              61.95                          ug/l     NaN   \n",
+       "1468163              26.48                          ug/l     NaN   \n",
+       "1468173               1.83                          ug/l     NaN   \n",
+       "1468184              23.55                          ug/l     NaN   \n",
+       "1468186              37.07                          ug/l     NaN   \n",
+       "1468187              61.95                          ug/l     NaN   \n",
        "\n",
        "                                    Chlorophyll  \n",
        "220687   0.005940000000000001 milligram / liter  \n",
@@ -5028,13 +5038,13 @@
        "228074                0.00387 milligram / liter  \n",
        "235704   0.008150000000000001 milligram / liter  \n",
        "...                                         ...  \n",
-       "1465325               0.01816 milligram / liter  \n",
-       "1465326               0.04109 milligram / liter  \n",
-       "1465337               0.02355 milligram / liter  \n",
-       "1465339               0.03707 milligram / liter  \n",
-       "1465340  0.061950000000000005 milligram / liter  \n",
+       "1468163               0.02648 milligram / liter  \n",
+       "1468173               0.00183 milligram / liter  \n",
+       "1468184               0.02355 milligram / liter  \n",
+       "1468186               0.03707 milligram / liter  \n",
+       "1468187  0.061950000000000005 milligram / liter  \n",
        "\n",
-       "[44448 rows x 4 columns]"
+       "[44449 rows x 4 columns]"
       ]
      },
      "execution_count": 55,
@@ -5059,10 +5069,10 @@
    "execution_count": 56,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:08.933051Z",
-     "iopub.status.busy": "2024-09-05T03:55:08.932706Z",
-     "iopub.status.idle": "2024-09-05T03:55:19.667380Z",
-     "shell.execute_reply": "2024-09-05T03:55:19.666864Z"
+     "iopub.execute_input": "2024-11-05T03:40:13.896943Z",
+     "iopub.status.busy": "2024-11-05T03:40:13.896757Z",
+     "iopub.status.idle": "2024-11-05T03:40:24.433103Z",
+     "shell.execute_reply": "2024-11-05T03:40:24.432521Z"
     }
    },
    "outputs": [
@@ -5071,23 +5081,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count    2.159900e+04\n",
-      "mean     2.459375e+04\n",
-      "std      1.903944e+06\n",
+      "count    2.173000e+04\n",
+      "mean     2.444555e+04\n",
+      "std      1.898197e+06\n",
       "min      0.000000e+00\n",
       "25%      4.600000e+00\n",
       "50%      7.100000e+00\n",
-      "75%      1.200000e+01\n",
+      "75%      1.210000e+01\n",
       "max      2.000000e+08\n",
       "dtype: float64\n",
       "Unusable results: 1928\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 11448260.421998743): 8\n"
+      "Results outside threshold (0.0 to 11413630.33831222): 8\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -5106,10 +5116,10 @@
    "execution_count": 57,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:19.669918Z",
-     "iopub.status.busy": "2024-09-05T03:55:19.669560Z",
-     "iopub.status.idle": "2024-09-05T03:55:19.796294Z",
-     "shell.execute_reply": "2024-09-05T03:55:19.795695Z"
+     "iopub.execute_input": "2024-11-05T03:40:24.434878Z",
+     "iopub.status.busy": "2024-11-05T03:40:24.434706Z",
+     "iopub.status.idle": "2024-11-05T03:40:24.554714Z",
+     "shell.execute_reply": "2024-11-05T03:40:24.554213Z"
     }
    },
    "outputs": [
@@ -5184,43 +5194,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462880</th>\n",
-       "      <td>0.83</td>\n",
-       "      <td>mg/l</td>\n",
+       "      <th>1468810</th>\n",
+       "      <td>11.0</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.83 milligram / liter</td>\n",
+       "      <td>11.0 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462930</th>\n",
-       "      <td>0.71</td>\n",
-       "      <td>mg/l</td>\n",
+       "      <th>1468813</th>\n",
+       "      <td>20.0</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.71 milligram / liter</td>\n",
+       "      <td>20.0 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462937</th>\n",
-       "      <td>1.43</td>\n",
-       "      <td>mg/l</td>\n",
+       "      <th>1468829</th>\n",
+       "      <td>12.0</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>1.43 milligram / liter</td>\n",
+       "      <td>12.0 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462945</th>\n",
-       "      <td>0.90</td>\n",
-       "      <td>mg/l</td>\n",
+       "      <th>1468929</th>\n",
+       "      <td>15.0</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.9 milligram / liter</td>\n",
+       "      <td>15.0 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462954</th>\n",
-       "      <td>0.68</td>\n",
-       "      <td>mg/l</td>\n",
+       "      <th>1468935</th>\n",
+       "      <td>13.0</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.68 milligram / liter</td>\n",
+       "      <td>13.0 milligram / liter</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>23527 rows × 4 columns</p>\n",
+       "<p>23658 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -5231,11 +5241,11 @@
        "287                    6.7                          mg/L     NaN   \n",
        "346                    5.8                          mg/L     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1462880               0.83                          mg/l     NaN   \n",
-       "1462930               0.71                          mg/l     NaN   \n",
-       "1462937               1.43                          mg/l     NaN   \n",
-       "1462945               0.90                          mg/l     NaN   \n",
-       "1462954               0.68                          mg/l     NaN   \n",
+       "1468810               11.0                          mg/L     NaN   \n",
+       "1468813               20.0                          mg/L     NaN   \n",
+       "1468829               12.0                          mg/L     NaN   \n",
+       "1468929               15.0                          mg/L     NaN   \n",
+       "1468935               13.0                          mg/L     NaN   \n",
        "\n",
        "                         Carbon  \n",
        "3         3.8 milligram / liter  \n",
@@ -5244,13 +5254,13 @@
        "287       6.7 milligram / liter  \n",
        "346       5.8 milligram / liter  \n",
        "...                         ...  \n",
-       "1462880  0.83 milligram / liter  \n",
-       "1462930  0.71 milligram / liter  \n",
-       "1462937  1.43 milligram / liter  \n",
-       "1462945   0.9 milligram / liter  \n",
-       "1462954  0.68 milligram / liter  \n",
+       "1468810  11.0 milligram / liter  \n",
+       "1468813  20.0 milligram / liter  \n",
+       "1468829  12.0 milligram / liter  \n",
+       "1468929  15.0 milligram / liter  \n",
+       "1468935  13.0 milligram / liter  \n",
        "\n",
-       "[23527 rows x 4 columns]"
+       "[23658 rows x 4 columns]"
       ]
      },
      "execution_count": 57,
@@ -5275,10 +5285,10 @@
    "execution_count": 58,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:19.798602Z",
-     "iopub.status.busy": "2024-09-05T03:55:19.798275Z",
-     "iopub.status.idle": "2024-09-05T03:55:29.410972Z",
-     "shell.execute_reply": "2024-09-05T03:55:29.410396Z"
+     "iopub.execute_input": "2024-11-05T03:40:24.556465Z",
+     "iopub.status.busy": "2024-11-05T03:40:24.556296Z",
+     "iopub.status.idle": "2024-11-05T03:40:34.097933Z",
+     "shell.execute_reply": "2024-11-05T03:40:34.097447Z"
     }
    },
    "outputs": [
@@ -5287,23 +5297,23 @@
      "output_type": "stream",
      "text": [
       "-Usable results-\n",
-      "count     92686.00000\n",
-      "mean         16.13425\n",
-      "std         870.34539\n",
-      "min          -0.04770\n",
-      "25%           1.50000\n",
-      "50%           2.40000\n",
-      "75%           4.08000\n",
-      "max      200000.00000\n",
+      "count     93112.000000\n",
+      "mean         16.091914\n",
+      "std         868.352572\n",
+      "min          -0.047700\n",
+      "25%           1.500000\n",
+      "50%           2.420000\n",
+      "75%           4.100000\n",
+      "max      200000.000000\n",
       "dtype: float64\n",
       "Unusable results: 1100\n",
       "Usable results with inferred units: 0\n",
-      "Results outside threshold (0.0 to 5238.206591642857): 155\n"
+      "Results outside threshold (0.0 to 5226.207347365942): 155\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -5322,10 +5332,10 @@
    "execution_count": 59,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:29.413293Z",
-     "iopub.status.busy": "2024-09-05T03:55:29.412949Z",
-     "iopub.status.idle": "2024-09-05T03:55:29.618381Z",
-     "shell.execute_reply": "2024-09-05T03:55:29.617852Z"
+     "iopub.execute_input": "2024-11-05T03:40:34.099537Z",
+     "iopub.status.busy": "2024-11-05T03:40:34.099357Z",
+     "iopub.status.idle": "2024-11-05T03:40:34.305568Z",
+     "shell.execute_reply": "2024-11-05T03:40:34.305057Z"
     }
    },
    "outputs": [
@@ -5400,43 +5410,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462881</th>\n",
-       "      <td>0.2</td>\n",
-       "      <td>NTRU</td>\n",
+       "      <th>1468835</th>\n",
+       "      <td>2.7</td>\n",
+       "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.2 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>2.7 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462931</th>\n",
-       "      <td>2.1</td>\n",
-       "      <td>NTRU</td>\n",
+       "      <th>1468836</th>\n",
+       "      <td>1.5</td>\n",
+       "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>2.1 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>1.5 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462938</th>\n",
-       "      <td>0.4</td>\n",
-       "      <td>NTRU</td>\n",
+       "      <th>1468838</th>\n",
+       "      <td>10.7</td>\n",
+       "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.4 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>10.7 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462946</th>\n",
-       "      <td>2.0</td>\n",
-       "      <td>NTRU</td>\n",
+       "      <th>1468923</th>\n",
+       "      <td>10.0</td>\n",
+       "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>2.0 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>10.0 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462955</th>\n",
-       "      <td>0.1</td>\n",
-       "      <td>NTRU</td>\n",
+       "      <th>1468926</th>\n",
+       "      <td>6.6</td>\n",
+       "      <td>NTU</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.1 Nephelometric_Turbidity_Units</td>\n",
+       "      <td>6.6 Nephelometric_Turbidity_Units</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>93786 rows × 4 columns</p>\n",
+       "<p>94212 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -5447,26 +5457,26 @@
        "296                    3.0                           NTU     NaN   \n",
        "313                    2.0                           NTU     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1462881                0.2                          NTRU     NaN   \n",
-       "1462931                2.1                          NTRU     NaN   \n",
-       "1462938                0.4                          NTRU     NaN   \n",
-       "1462946                2.0                          NTRU     NaN   \n",
-       "1462955                0.1                          NTRU     NaN   \n",
-       "\n",
-       "                                 Turbidity  \n",
-       "120      2.3 Nephelometric_Turbidity_Units  \n",
-       "143      2.6 Nephelometric_Turbidity_Units  \n",
-       "284      0.9 Nephelometric_Turbidity_Units  \n",
-       "296      3.0 Nephelometric_Turbidity_Units  \n",
-       "313      2.0 Nephelometric_Turbidity_Units  \n",
-       "...                                    ...  \n",
-       "1462881  0.2 Nephelometric_Turbidity_Units  \n",
-       "1462931  2.1 Nephelometric_Turbidity_Units  \n",
-       "1462938  0.4 Nephelometric_Turbidity_Units  \n",
-       "1462946  2.0 Nephelometric_Turbidity_Units  \n",
-       "1462955  0.1 Nephelometric_Turbidity_Units  \n",
-       "\n",
-       "[93786 rows x 4 columns]"
+       "1468835                2.7                           NTU     NaN   \n",
+       "1468836                1.5                           NTU     NaN   \n",
+       "1468838               10.7                           NTU     NaN   \n",
+       "1468923               10.0                           NTU     NaN   \n",
+       "1468926                6.6                           NTU     NaN   \n",
+       "\n",
+       "                                  Turbidity  \n",
+       "120       2.3 Nephelometric_Turbidity_Units  \n",
+       "143       2.6 Nephelometric_Turbidity_Units  \n",
+       "284       0.9 Nephelometric_Turbidity_Units  \n",
+       "296       3.0 Nephelometric_Turbidity_Units  \n",
+       "313       2.0 Nephelometric_Turbidity_Units  \n",
+       "...                                     ...  \n",
+       "1468835   2.7 Nephelometric_Turbidity_Units  \n",
+       "1468836   1.5 Nephelometric_Turbidity_Units  \n",
+       "1468838  10.7 Nephelometric_Turbidity_Units  \n",
+       "1468923  10.0 Nephelometric_Turbidity_Units  \n",
+       "1468926   6.6 Nephelometric_Turbidity_Units  \n",
+       "\n",
+       "[94212 rows x 4 columns]"
       ]
      },
      "execution_count": 59,
@@ -5491,10 +5501,10 @@
    "execution_count": 60,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:29.620636Z",
-     "iopub.status.busy": "2024-09-05T03:55:29.620258Z",
-     "iopub.status.idle": "2024-09-05T03:55:33.088525Z",
-     "shell.execute_reply": "2024-09-05T03:55:33.087959Z"
+     "iopub.execute_input": "2024-11-05T03:40:34.307309Z",
+     "iopub.status.busy": "2024-11-05T03:40:34.307141Z",
+     "iopub.status.idle": "2024-11-05T03:40:37.858941Z",
+     "shell.execute_reply": "2024-11-05T03:40:37.858310Z"
     }
    },
    "outputs": [],
@@ -5508,10 +5518,10 @@
    "execution_count": 61,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:33.091217Z",
-     "iopub.status.busy": "2024-09-05T03:55:33.090779Z",
-     "iopub.status.idle": "2024-09-05T03:55:34.363405Z",
-     "shell.execute_reply": "2024-09-05T03:55:34.362923Z"
+     "iopub.execute_input": "2024-11-05T03:40:37.861307Z",
+     "iopub.status.busy": "2024-11-05T03:40:37.860882Z",
+     "iopub.status.idle": "2024-11-05T03:40:39.164474Z",
+     "shell.execute_reply": "2024-11-05T03:40:39.163862Z"
     }
    },
    "outputs": [
@@ -5582,10 +5592,10 @@
    "execution_count": 62,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:34.365401Z",
-     "iopub.status.busy": "2024-09-05T03:55:34.365229Z",
-     "iopub.status.idle": "2024-09-05T03:55:47.499675Z",
-     "shell.execute_reply": "2024-09-05T03:55:47.499110Z"
+     "iopub.execute_input": "2024-11-05T03:40:39.166346Z",
+     "iopub.status.busy": "2024-11-05T03:40:39.166015Z",
+     "iopub.status.idle": "2024-11-05T03:40:51.641284Z",
+     "shell.execute_reply": "2024-11-05T03:40:51.640726Z"
     }
    },
    "outputs": [
@@ -5593,13 +5603,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2 Phosphorus sample fractions not in frac_dict\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "2 Phosphorus sample fractions not in frac_dict\n",
       "2 Phosphorus sample fractions not in frac_dict found in expected domains, mapped to \"Other_Phosphorus\"\n"
      ]
     }
@@ -5621,10 +5625,10 @@
    "execution_count": 63,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:47.501992Z",
-     "iopub.status.busy": "2024-09-05T03:55:47.501795Z",
-     "iopub.status.idle": "2024-09-05T03:55:49.024984Z",
-     "shell.execute_reply": "2024-09-05T03:55:49.024383Z"
+     "iopub.execute_input": "2024-11-05T03:40:51.643466Z",
+     "iopub.status.busy": "2024-11-05T03:40:51.643115Z",
+     "iopub.status.idle": "2024-11-05T03:40:53.034471Z",
+     "shell.execute_reply": "2024-11-05T03:40:53.033923Z"
     }
    },
    "outputs": [
@@ -5657,7 +5661,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>3379</th>\n",
+       "      <th>3378</th>\n",
        "      <td>0.049</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -5699,73 +5703,73 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464113</th>\n",
-       "      <td>0.065</td>\n",
-       "      <td>mg/l as P</td>\n",
+       "      <th>1468840</th>\n",
+       "      <td>0.126</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464118</th>\n",
-       "      <td>0.027</td>\n",
-       "      <td>mg/l as P</td>\n",
+       "      <th>1468845</th>\n",
+       "      <td>0.091</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464124</th>\n",
-       "      <td>0.04</td>\n",
-       "      <td>mg/l as P</td>\n",
+       "      <th>1468846</th>\n",
+       "      <td>0.18</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464139</th>\n",
-       "      <td>0.05</td>\n",
-       "      <td>mg/l as P</td>\n",
+       "      <th>1468925</th>\n",
+       "      <td>0.35</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464156</th>\n",
-       "      <td>0.04</td>\n",
-       "      <td>mg/l as P</td>\n",
+       "      <th>1468937</th>\n",
+       "      <td>0.26</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>30713 rows × 4 columns</p>\n",
+       "<p>31128 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "        ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "3379                 0.049                          mg/L     NaN   \n",
+       "3378                 0.049                          mg/L     NaN   \n",
        "7735                 0.004                          mg/L     NaN   \n",
        "9147                 0.049                          mg/L     NaN   \n",
        "10947                0.036                          mg/L     NaN   \n",
        "19519                0.050                          mg/L     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1464113              0.065                     mg/l as P     NaN   \n",
-       "1464118              0.027                     mg/l as P     NaN   \n",
-       "1464124               0.04                     mg/l as P     NaN   \n",
-       "1464139               0.05                     mg/l as P     NaN   \n",
-       "1464156               0.04                     mg/l as P     NaN   \n",
+       "1468840              0.126                          mg/L     NaN   \n",
+       "1468845              0.091                          mg/L     NaN   \n",
+       "1468846               0.18                          mg/L     NaN   \n",
+       "1468925               0.35                          mg/L     NaN   \n",
+       "1468937               0.26                          mg/L     NaN   \n",
        "\n",
        "                 TDP_Phosphorus  \n",
-       "3379                        NaN  \n",
+       "3378                        NaN  \n",
        "7735                        NaN  \n",
        "9147                        NaN  \n",
        "10947                       NaN  \n",
        "19519    0.05 milligram / liter  \n",
        "...                         ...  \n",
-       "1464113                     NaN  \n",
-       "1464118                     NaN  \n",
-       "1464124                     NaN  \n",
-       "1464139                     NaN  \n",
-       "1464156                     NaN  \n",
+       "1468840                     NaN  \n",
+       "1468845                     NaN  \n",
+       "1468846                     NaN  \n",
+       "1468925                     NaN  \n",
+       "1468937                     NaN  \n",
        "\n",
-       "[30713 rows x 4 columns]"
+       "[31128 rows x 4 columns]"
       ]
      },
      "execution_count": 63,
@@ -5784,10 +5788,10 @@
    "execution_count": 64,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:49.027127Z",
-     "iopub.status.busy": "2024-09-05T03:55:49.026953Z",
-     "iopub.status.idle": "2024-09-05T03:55:49.110675Z",
-     "shell.execute_reply": "2024-09-05T03:55:49.110078Z"
+     "iopub.execute_input": "2024-11-05T03:40:53.036366Z",
+     "iopub.status.busy": "2024-11-05T03:40:53.036012Z",
+     "iopub.status.idle": "2024-11-05T03:40:53.117147Z",
+     "shell.execute_reply": "2024-11-05T03:40:53.116557Z"
     }
    },
    "outputs": [
@@ -5820,7 +5824,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>3379</th>\n",
+       "      <th>3378</th>\n",
        "      <td>0.049</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -5862,73 +5866,73 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464113</th>\n",
-       "      <td>0.065</td>\n",
-       "      <td>mg/l as P</td>\n",
+       "      <th>1468840</th>\n",
+       "      <td>0.126</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464118</th>\n",
-       "      <td>0.027</td>\n",
-       "      <td>mg/l as P</td>\n",
+       "      <th>1468845</th>\n",
+       "      <td>0.091</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464124</th>\n",
-       "      <td>0.04</td>\n",
-       "      <td>mg/l as P</td>\n",
+       "      <th>1468846</th>\n",
+       "      <td>0.18</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464139</th>\n",
-       "      <td>0.05</td>\n",
-       "      <td>mg/l as P</td>\n",
+       "      <th>1468925</th>\n",
+       "      <td>0.35</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1464156</th>\n",
-       "      <td>0.04</td>\n",
-       "      <td>mg/l as P</td>\n",
+       "      <th>1468937</th>\n",
+       "      <td>0.26</td>\n",
+       "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>28750 rows × 4 columns</p>\n",
+       "<p>29165 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "        ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
-       "3379                 0.049                          mg/L     NaN   \n",
+       "3378                 0.049                          mg/L     NaN   \n",
        "7735                 0.004                          mg/L     NaN   \n",
        "9147                 0.049                          mg/L     NaN   \n",
        "10947                0.036                          mg/L     NaN   \n",
        "23387                0.004                          mg/L     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1464113              0.065                     mg/l as P     NaN   \n",
-       "1464118              0.027                     mg/l as P     NaN   \n",
-       "1464124               0.04                     mg/l as P     NaN   \n",
-       "1464139               0.05                     mg/l as P     NaN   \n",
-       "1464156               0.04                     mg/l as P     NaN   \n",
+       "1468840              0.126                          mg/L     NaN   \n",
+       "1468845              0.091                          mg/L     NaN   \n",
+       "1468846               0.18                          mg/L     NaN   \n",
+       "1468925               0.35                          mg/L     NaN   \n",
+       "1468937               0.26                          mg/L     NaN   \n",
        "\n",
        "        TDP_Phosphorus  \n",
-       "3379               NaN  \n",
+       "3378               NaN  \n",
        "7735               NaN  \n",
        "9147               NaN  \n",
        "10947              NaN  \n",
        "23387              NaN  \n",
        "...                ...  \n",
-       "1464113            NaN  \n",
-       "1464118            NaN  \n",
-       "1464124            NaN  \n",
-       "1464139            NaN  \n",
-       "1464156            NaN  \n",
+       "1468840            NaN  \n",
+       "1468845            NaN  \n",
+       "1468846            NaN  \n",
+       "1468925            NaN  \n",
+       "1468937            NaN  \n",
        "\n",
-       "[28750 rows x 4 columns]"
+       "[29165 rows x 4 columns]"
       ]
      },
      "execution_count": 64,
@@ -5946,10 +5950,10 @@
    "execution_count": 65,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:49.112924Z",
-     "iopub.status.busy": "2024-09-05T03:55:49.112590Z",
-     "iopub.status.idle": "2024-09-05T03:55:49.153322Z",
-     "shell.execute_reply": "2024-09-05T03:55:49.152792Z"
+     "iopub.execute_input": "2024-11-05T03:40:53.118912Z",
+     "iopub.status.busy": "2024-11-05T03:40:53.118592Z",
+     "iopub.status.idle": "2024-11-05T03:40:53.159078Z",
+     "shell.execute_reply": "2024-11-05T03:40:53.158622Z"
     }
    },
    "outputs": [
@@ -6003,14 +6007,14 @@
        "      <td>0.003 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>65531</th>\n",
+       "      <th>119141</th>\n",
        "      <td>0.050</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.05 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>70682</th>\n",
+       "      <th>124292</th>\n",
        "      <td>0.002</td>\n",
        "      <td>mg/L</td>\n",
        "      <td>NaN</td>\n",
@@ -6024,35 +6028,35 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1451036</th>\n",
+       "      <th>1455380</th>\n",
        "      <td>1.0</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>1.0 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1451054</th>\n",
+       "      <th>1455398</th>\n",
        "      <td>0.93</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.93 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1451072</th>\n",
+       "      <th>1455416</th>\n",
        "      <td>0.58</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.58 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1451096</th>\n",
+       "      <th>1455440</th>\n",
        "      <td>0.48</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.48 milligram / liter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1453869</th>\n",
+       "      <th>1458213</th>\n",
        "      <td>0.166</td>\n",
        "      <td>mg/l as P</td>\n",
        "      <td>NaN</td>\n",
@@ -6068,27 +6072,27 @@
        "19519                0.050                          mg/L     NaN   \n",
        "29585                0.009                          mg/L     NaN   \n",
        "56022                0.003                          mg/L     NaN   \n",
-       "65531                0.050                          mg/L     NaN   \n",
-       "70682                0.002                          mg/L     NaN   \n",
+       "119141               0.050                          mg/L     NaN   \n",
+       "124292               0.002                          mg/L     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1451036                1.0                     mg/l as P     NaN   \n",
-       "1451054               0.93                     mg/l as P     NaN   \n",
-       "1451072               0.58                     mg/l as P     NaN   \n",
-       "1451096               0.48                     mg/l as P     NaN   \n",
-       "1453869              0.166                     mg/l as P     NaN   \n",
+       "1455380                1.0                     mg/l as P     NaN   \n",
+       "1455398               0.93                     mg/l as P     NaN   \n",
+       "1455416               0.58                     mg/l as P     NaN   \n",
+       "1455440               0.48                     mg/l as P     NaN   \n",
+       "1458213              0.166                     mg/l as P     NaN   \n",
        "\n",
        "                  TDP_Phosphorus  \n",
        "19519     0.05 milligram / liter  \n",
        "29585    0.009 milligram / liter  \n",
        "56022    0.003 milligram / liter  \n",
-       "65531     0.05 milligram / liter  \n",
-       "70682    0.002 milligram / liter  \n",
+       "119141    0.05 milligram / liter  \n",
+       "124292   0.002 milligram / liter  \n",
        "...                          ...  \n",
-       "1451036    1.0 milligram / liter  \n",
-       "1451054   0.93 milligram / liter  \n",
-       "1451072   0.58 milligram / liter  \n",
-       "1451096   0.48 milligram / liter  \n",
-       "1453869  0.166 milligram / liter  \n",
+       "1455380    1.0 milligram / liter  \n",
+       "1455398   0.93 milligram / liter  \n",
+       "1455416   0.58 milligram / liter  \n",
+       "1455440   0.48 milligram / liter  \n",
+       "1458213  0.166 milligram / liter  \n",
        "\n",
        "[1099 rows x 4 columns]"
       ]
@@ -6108,10 +6112,10 @@
    "execution_count": 66,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:49.155493Z",
-     "iopub.status.busy": "2024-09-05T03:55:49.155153Z",
-     "iopub.status.idle": "2024-09-05T03:55:49.194586Z",
-     "shell.execute_reply": "2024-09-05T03:55:49.194062Z"
+     "iopub.execute_input": "2024-11-05T03:40:53.160701Z",
+     "iopub.status.busy": "2024-11-05T03:40:53.160534Z",
+     "iopub.status.idle": "2024-11-05T03:40:53.200471Z",
+     "shell.execute_reply": "2024-11-05T03:40:53.199980Z"
     }
    },
    "outputs": [
@@ -6186,36 +6190,36 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1438772</th>\n",
+       "      <th>1444832</th>\n",
        "      <td>0.058</td>\n",
        "      <td>%</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1439629</th>\n",
+       "      <th>1445689</th>\n",
        "      <td>0.041</td>\n",
        "      <td>%</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1440409</th>\n",
+       "      <th>1446469</th>\n",
        "      <td>0.078</td>\n",
        "      <td>%</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462701</th>\n",
-       "      <td>460</td>\n",
+       "      <th>1466001</th>\n",
+       "      <td>460.0</td>\n",
        "      <td>mg/kg</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1462703</th>\n",
-       "      <td>5400</td>\n",
+       "      <th>1466003</th>\n",
+       "      <td>5400.0</td>\n",
        "      <td>mg/kg</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -6233,11 +6237,11 @@
        "245328          0.16950375                          mg/L     NaN   \n",
        "255041          0.03524375                          mg/L     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1438772              0.058                             %     NaN   \n",
-       "1439629              0.041                             %     NaN   \n",
-       "1440409              0.078                             %     NaN   \n",
-       "1462701                460                         mg/kg     NaN   \n",
-       "1462703               5400                         mg/kg     NaN   \n",
+       "1444832              0.058                             %     NaN   \n",
+       "1445689              0.041                             %     NaN   \n",
+       "1446469              0.078                             %     NaN   \n",
+       "1466001              460.0                         mg/kg     NaN   \n",
+       "1466003             5400.0                         mg/kg     NaN   \n",
        "\n",
        "        TDP_Phosphorus  \n",
        "221968             NaN  \n",
@@ -6246,11 +6250,11 @@
        "245328             NaN  \n",
        "255041             NaN  \n",
        "...                ...  \n",
-       "1438772            NaN  \n",
-       "1439629            NaN  \n",
-       "1440409            NaN  \n",
-       "1462701            NaN  \n",
-       "1462703            NaN  \n",
+       "1444832            NaN  \n",
+       "1445689            NaN  \n",
+       "1446469            NaN  \n",
+       "1466001            NaN  \n",
+       "1466003            NaN  \n",
        "\n",
        "[864 rows x 4 columns]"
       ]
@@ -6291,10 +6295,10 @@
    "execution_count": 67,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:55:49.196798Z",
-     "iopub.status.busy": "2024-09-05T03:55:49.196458Z",
-     "iopub.status.idle": "2024-09-05T03:56:02.866717Z",
-     "shell.execute_reply": "2024-09-05T03:56:02.866171Z"
+     "iopub.execute_input": "2024-11-05T03:40:53.202372Z",
+     "iopub.status.busy": "2024-11-05T03:40:53.202038Z",
+     "iopub.status.idle": "2024-11-05T03:41:07.036516Z",
+     "shell.execute_reply": "2024-11-05T03:41:07.035983Z"
     }
    },
    "outputs": [
@@ -6302,9 +6306,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
-      "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -6312,7 +6314,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -6330,7 +6334,7 @@
       "75%      6.000000e+01\n",
       "max      1.000000e+07\n",
       "dtype: float64\n",
-      "Unusable results: 55551\n",
+      "Unusable results: 55555\n",
       "Usable results with inferred units: 5\n",
       "Results outside threshold (0.0 to 795966.1242988213): 8\n"
      ]
@@ -6356,10 +6360,10 @@
    "execution_count": 68,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:56:02.869008Z",
-     "iopub.status.busy": "2024-09-05T03:56:02.868669Z",
-     "iopub.status.idle": "2024-09-05T03:56:03.049100Z",
-     "shell.execute_reply": "2024-09-05T03:56:03.048550Z"
+     "iopub.execute_input": "2024-11-05T03:41:07.038416Z",
+     "iopub.status.busy": "2024-11-05T03:41:07.038081Z",
+     "iopub.status.idle": "2024-11-05T03:41:07.217429Z",
+     "shell.execute_reply": "2024-11-05T03:41:07.216940Z"
     }
    },
    "outputs": [
@@ -6434,43 +6438,43 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1457975</th>\n",
-       "      <td>100.0</td>\n",
-       "      <td>cfu/100ml</td>\n",
+       "      <th>1466314</th>\n",
+       "      <td>9.0</td>\n",
+       "      <td>cfu/100mL</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>100.0 Colony_Forming_Units / milliliter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1458014</th>\n",
-       "      <td>1100.0</td>\n",
-       "      <td>cfu/100ml</td>\n",
+       "      <th>1466621</th>\n",
+       "      <td>55.0</td>\n",
+       "      <td>cfu/100mL</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>1100.0 Colony_Forming_Units / milliliter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1458102</th>\n",
-       "      <td>300.0</td>\n",
-       "      <td>cfu/100ml</td>\n",
+       "      <th>1468607</th>\n",
+       "      <td>50.0</td>\n",
+       "      <td>cfu/100mL</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>300.0 Colony_Forming_Units / milliliter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1458156</th>\n",
-       "      <td>160.0</td>\n",
-       "      <td>cfu/100ml</td>\n",
+       "      <th>1468674</th>\n",
+       "      <td>100.0</td>\n",
+       "      <td>cfu/100mL</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>160.0 Colony_Forming_Units / milliliter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465355</th>\n",
-       "      <td>2</td>\n",
+       "      <th>1468859</th>\n",
+       "      <td>2.0</td>\n",
        "      <td>cfu/100ml</td>\n",
        "      <td>NaN</td>\n",
        "      <td>2.0 Colony_Forming_Units / milliliter</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>64198 rows × 4 columns</p>\n",
+       "<p>64202 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -6481,26 +6485,26 @@
        "62                       5                     cfu/100mL     NaN   \n",
        "65                     260                       #/100mL     NaN   \n",
        "...                    ...                           ...     ...   \n",
-       "1457975              100.0                     cfu/100ml     NaN   \n",
-       "1458014             1100.0                     cfu/100ml     NaN   \n",
-       "1458102              300.0                     cfu/100ml     NaN   \n",
-       "1458156              160.0                     cfu/100ml     NaN   \n",
-       "1465355                  2                     cfu/100ml     NaN   \n",
-       "\n",
-       "                                   Fecal_Coliform  \n",
-       "10                                            NaN  \n",
-       "31                                            NaN  \n",
-       "41                                            NaN  \n",
-       "62                                            NaN  \n",
-       "65                                            NaN  \n",
-       "...                                           ...  \n",
-       "1457975   100.0 Colony_Forming_Units / milliliter  \n",
-       "1458014  1100.0 Colony_Forming_Units / milliliter  \n",
-       "1458102   300.0 Colony_Forming_Units / milliliter  \n",
-       "1458156   160.0 Colony_Forming_Units / milliliter  \n",
-       "1465355     2.0 Colony_Forming_Units / milliliter  \n",
-       "\n",
-       "[64198 rows x 4 columns]"
+       "1466314                9.0                     cfu/100mL     NaN   \n",
+       "1466621               55.0                     cfu/100mL     NaN   \n",
+       "1468607               50.0                     cfu/100mL     NaN   \n",
+       "1468674              100.0                     cfu/100mL     NaN   \n",
+       "1468859                2.0                     cfu/100ml     NaN   \n",
+       "\n",
+       "                                Fecal_Coliform  \n",
+       "10                                         NaN  \n",
+       "31                                         NaN  \n",
+       "41                                         NaN  \n",
+       "62                                         NaN  \n",
+       "65                                         NaN  \n",
+       "...                                        ...  \n",
+       "1466314                                    NaN  \n",
+       "1466621                                    NaN  \n",
+       "1468607                                    NaN  \n",
+       "1468674                                    NaN  \n",
+       "1468859  2.0 Colony_Forming_Units / milliliter  \n",
+       "\n",
+       "[64202 rows x 4 columns]"
       ]
      },
      "execution_count": 68,
@@ -6525,10 +6529,10 @@
    "execution_count": 69,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:56:03.051384Z",
-     "iopub.status.busy": "2024-09-05T03:56:03.051039Z",
-     "iopub.status.idle": "2024-09-05T03:56:11.863143Z",
-     "shell.execute_reply": "2024-09-05T03:56:11.862558Z"
+     "iopub.execute_input": "2024-11-05T03:41:07.219333Z",
+     "iopub.status.busy": "2024-11-05T03:41:07.218990Z",
+     "iopub.status.idle": "2024-11-05T03:41:15.965207Z",
+     "shell.execute_reply": "2024-11-05T03:41:15.964675Z"
     }
    },
    "outputs": [
@@ -6536,11 +6540,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -6558,7 +6562,7 @@
       "75%        120.000000\n",
       "max      41000.000000\n",
       "dtype: float64\n",
-      "Unusable results: 6109\n",
+      "Unusable results: 6321\n",
       "Usable results with inferred units: 0\n",
       "Results outside threshold (0.0 to 27817.348725062726): 1\n"
      ]
@@ -6584,10 +6588,10 @@
    "execution_count": 70,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:56:11.865593Z",
-     "iopub.status.busy": "2024-09-05T03:56:11.865397Z",
-     "iopub.status.idle": "2024-09-05T03:56:11.954156Z",
-     "shell.execute_reply": "2024-09-05T03:56:11.953581Z"
+     "iopub.execute_input": "2024-11-05T03:41:15.967402Z",
+     "iopub.status.busy": "2024-11-05T03:41:15.967117Z",
+     "iopub.status.idle": "2024-11-05T03:41:16.062653Z",
+     "shell.execute_reply": "2024-11-05T03:41:16.062127Z"
     }
    },
    "outputs": [
@@ -6662,73 +6666,60 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460488</th>\n",
-       "      <td>219</td>\n",
+       "      <th>1468794</th>\n",
+       "      <td>1732.9</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460533</th>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1468804</th>\n",
+       "      <td>1106.0</td>\n",
        "      <td>MPN/100mL</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460546</th>\n",
-       "      <td>Not Reported</td>\n",
+       "      <th>1468848</th>\n",
+       "      <td>116.0</td>\n",
        "      <td>MPN/100mL</td>\n",
-       "      <td>ResultMeasureValue: \"Not Reported\" result cann...</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460559</th>\n",
-       "      <td>59.1</td>\n",
+       "      <th>1468855</th>\n",
+       "      <td>1.0</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1460625</th>\n",
-       "      <td>742</td>\n",
+       "      <th>1468856</th>\n",
+       "      <td>517.2</td>\n",
        "      <td>MPN/100mL</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>6251 rows × 4 columns</p>\n",
+       "<p>6463 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "        ResultMeasureValue ResultMeasure/MeasureUnitCode  \\\n",
-       "276034                 210                     MPN/100mL   \n",
-       "277432                4800                     MPN/100mL   \n",
-       "277854                74.5                     MPN/100mL   \n",
-       "277993               553.9                     MPN/100mL   \n",
-       "278267                  87                     MPN/100mL   \n",
-       "...                    ...                           ...   \n",
-       "1460488                219                     MPN/100mL   \n",
-       "1460533       Not Reported                     MPN/100mL   \n",
-       "1460546       Not Reported                     MPN/100mL   \n",
-       "1460559               59.1                     MPN/100mL   \n",
-       "1460625                742                     MPN/100mL   \n",
-       "\n",
-       "                                                   QA_flag E_coli  \n",
-       "276034                                                 NaN    NaN  \n",
-       "277432                                                 NaN    NaN  \n",
-       "277854                                                 NaN    NaN  \n",
-       "277993                                                 NaN    NaN  \n",
-       "278267                                                 NaN    NaN  \n",
-       "...                                                    ...    ...  \n",
-       "1460488                                                NaN    NaN  \n",
-       "1460533  ResultMeasureValue: \"Not Reported\" result cann...    NaN  \n",
-       "1460546  ResultMeasureValue: \"Not Reported\" result cann...    NaN  \n",
-       "1460559                                                NaN    NaN  \n",
-       "1460625                                                NaN    NaN  \n",
-       "\n",
-       "[6251 rows x 4 columns]"
+       "        ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag E_coli\n",
+       "276034                 210                     MPN/100mL     NaN    NaN\n",
+       "277432                4800                     MPN/100mL     NaN    NaN\n",
+       "277854                74.5                     MPN/100mL     NaN    NaN\n",
+       "277993               553.9                     MPN/100mL     NaN    NaN\n",
+       "278267                  87                     MPN/100mL     NaN    NaN\n",
+       "...                    ...                           ...     ...    ...\n",
+       "1468794             1732.9                     MPN/100mL     NaN    NaN\n",
+       "1468804             1106.0                     MPN/100mL     NaN    NaN\n",
+       "1468848              116.0                     MPN/100mL     NaN    NaN\n",
+       "1468855                1.0                     MPN/100mL     NaN    NaN\n",
+       "1468856              517.2                     MPN/100mL     NaN    NaN\n",
+       "\n",
+       "[6463 rows x 4 columns]"
       ]
      },
      "execution_count": 70,
@@ -6774,10 +6765,10 @@
    "execution_count": 71,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:56:11.956591Z",
-     "iopub.status.busy": "2024-09-05T03:56:11.956177Z",
-     "iopub.status.idle": "2024-09-05T03:56:11.958958Z",
-     "shell.execute_reply": "2024-09-05T03:56:11.958510Z"
+     "iopub.execute_input": "2024-11-05T03:41:16.065273Z",
+     "iopub.status.busy": "2024-11-05T03:41:16.065087Z",
+     "iopub.status.idle": "2024-11-05T03:41:16.067811Z",
+     "shell.execute_reply": "2024-11-05T03:41:16.067359Z"
     }
    },
    "outputs": [],
@@ -6790,10 +6781,10 @@
    "execution_count": 72,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:56:11.960915Z",
-     "iopub.status.busy": "2024-09-05T03:56:11.960586Z",
-     "iopub.status.idle": "2024-09-05T03:56:12.092182Z",
-     "shell.execute_reply": "2024-09-05T03:56:12.091673Z"
+     "iopub.execute_input": "2024-11-05T03:41:16.069518Z",
+     "iopub.status.busy": "2024-11-05T03:41:16.069212Z",
+     "iopub.status.idle": "2024-11-05T03:41:16.187415Z",
+     "shell.execute_reply": "2024-11-05T03:41:16.186819Z"
     }
    },
    "outputs": [
@@ -6802,8 +6793,8 @@
      "output_type": "stream",
      "text": [
       "Range: -0.02 to 48930.0\n",
-      "Results: 267183 \n",
-      "Mean: 21.709491748587812 PSU\n"
+      "Results: 267674 \n",
+      "Mean: 21.69417811914098 PSU\n"
      ]
     }
    ],
@@ -6820,10 +6811,10 @@
    "execution_count": 73,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:56:12.094405Z",
-     "iopub.status.busy": "2024-09-05T03:56:12.094059Z",
-     "iopub.status.idle": "2024-09-05T03:56:12.108100Z",
-     "shell.execute_reply": "2024-09-05T03:56:12.107645Z"
+     "iopub.execute_input": "2024-11-05T03:41:16.189468Z",
+     "iopub.status.busy": "2024-11-05T03:41:16.189059Z",
+     "iopub.status.idle": "2024-11-05T03:41:16.201834Z",
+     "shell.execute_reply": "2024-11-05T03:41:16.201294Z"
     }
    },
    "outputs": [
@@ -6855,10 +6846,10 @@
    "execution_count": 74,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:56:12.110236Z",
-     "iopub.status.busy": "2024-09-05T03:56:12.109900Z",
-     "iopub.status.idle": "2024-09-05T03:56:12.112419Z",
-     "shell.execute_reply": "2024-09-05T03:56:12.111959Z"
+     "iopub.execute_input": "2024-11-05T03:41:16.203664Z",
+     "iopub.status.busy": "2024-11-05T03:41:16.203333Z",
+     "iopub.status.idle": "2024-11-05T03:41:16.205996Z",
+     "shell.execute_reply": "2024-11-05T03:41:16.205557Z"
     }
    },
    "outputs": [],
@@ -6872,10 +6863,10 @@
    "execution_count": 75,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:56:12.114363Z",
-     "iopub.status.busy": "2024-09-05T03:56:12.114040Z",
-     "iopub.status.idle": "2024-09-05T03:56:38.855768Z",
-     "shell.execute_reply": "2024-09-05T03:56:38.855226Z"
+     "iopub.execute_input": "2024-11-05T03:41:16.207603Z",
+     "iopub.status.busy": "2024-11-05T03:41:16.207280Z",
+     "iopub.status.idle": "2024-11-05T03:41:43.526668Z",
+     "shell.execute_reply": "2024-11-05T03:41:43.526113Z"
     }
    },
    "outputs": [
@@ -6915,18 +6906,18 @@
        "      <td>48930.0 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>434311</th>\n",
-       "      <td>76.57</td>\n",
+       "      <th>401718</th>\n",
+       "      <td>54.8</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>76.57 Practical_Salinity_Units</td>\n",
+       "      <td>54.8 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>497046</th>\n",
-       "      <td>54.8</td>\n",
+       "      <th>428934</th>\n",
+       "      <td>76.57</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>54.8 Practical_Salinity_Units</td>\n",
+       "      <td>76.57 Practical_Salinity_Units</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>620827</th>\n",
@@ -6949,15 +6940,15 @@
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag  \\\n",
        "288161              48930                          ppth     NaN   \n",
-       "434311              76.57                          ppth     NaN   \n",
-       "497046               54.8                          ppth     NaN   \n",
+       "401718               54.8                          ppth     NaN   \n",
+       "428934              76.57                          ppth     NaN   \n",
        "620827               2976                          ppth     NaN   \n",
        "645813                 68                          ppth     NaN   \n",
        "\n",
        "                                Salinity  \n",
        "288161  48930.0 Practical_Salinity_Units  \n",
-       "434311    76.57 Practical_Salinity_Units  \n",
-       "497046     54.8 Practical_Salinity_Units  \n",
+       "401718     54.8 Practical_Salinity_Units  \n",
+       "428934    76.57 Practical_Salinity_Units  \n",
        "620827   2976.0 Practical_Salinity_Units  \n",
        "645813     68.0 Practical_Salinity_Units  "
       ]
@@ -6986,10 +6977,10 @@
    "execution_count": 76,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:56:38.858048Z",
-     "iopub.status.busy": "2024-09-05T03:56:38.857688Z",
-     "iopub.status.idle": "2024-09-05T03:58:51.366364Z",
-     "shell.execute_reply": "2024-09-05T03:58:51.365817Z"
+     "iopub.execute_input": "2024-11-05T03:41:43.528554Z",
+     "iopub.status.busy": "2024-11-05T03:41:43.528116Z",
+     "iopub.status.idle": "2024-11-05T03:43:31.720444Z",
+     "shell.execute_reply": "2024-11-05T03:43:31.719788Z"
     }
    },
    "outputs": [],
@@ -7006,10 +6997,10 @@
    "execution_count": 77,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:58:51.368774Z",
-     "iopub.status.busy": "2024-09-05T03:58:51.368437Z",
-     "iopub.status.idle": "2024-09-05T03:59:09.053852Z",
-     "shell.execute_reply": "2024-09-05T03:59:09.053241Z"
+     "iopub.execute_input": "2024-11-05T03:43:31.722619Z",
+     "iopub.status.busy": "2024-11-05T03:43:31.722206Z",
+     "iopub.status.idle": "2024-11-05T03:43:50.202732Z",
+     "shell.execute_reply": "2024-11-05T03:43:50.202192Z"
     }
    },
    "outputs": [
@@ -7134,7 +7125,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>968155</th>\n",
+       "      <th>968160</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7145,7 +7136,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>970962</th>\n",
+       "      <th>970967</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7156,7 +7147,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>972633</th>\n",
+       "      <th>972638</th>\n",
        "      <td>0.00</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7167,7 +7158,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>973891</th>\n",
+       "      <th>973896</th>\n",
        "      <td>0.00</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7178,7 +7169,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>974926</th>\n",
+       "      <th>974931</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7189,7 +7180,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>975776</th>\n",
+       "      <th>975781</th>\n",
        "      <td>0.00</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7200,7 +7191,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>976391</th>\n",
+       "      <th>976396</th>\n",
        "      <td>0.00</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7211,7 +7202,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>978112</th>\n",
+       "      <th>978117</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7222,7 +7213,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>979364</th>\n",
+       "      <th>979369</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7233,7 +7224,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>981344</th>\n",
+       "      <th>981349</th>\n",
        "      <td>0.00</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7244,7 +7235,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>993644</th>\n",
+       "      <th>993649</th>\n",
        "      <td>-0.01</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7255,7 +7246,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1180376</th>\n",
+       "      <th>1180381</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7266,7 +7257,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1180381</th>\n",
+       "      <th>1180386</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7277,7 +7268,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1180467</th>\n",
+       "      <th>1180472</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7288,7 +7279,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1180468</th>\n",
+       "      <th>1180473</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7299,7 +7290,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1180469</th>\n",
+       "      <th>1180474</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7310,7 +7301,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1180470</th>\n",
+       "      <th>1180475</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7321,7 +7312,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1183036</th>\n",
+       "      <th>1183041</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7332,7 +7323,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1183175</th>\n",
+       "      <th>1183180</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7343,7 +7334,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1183176</th>\n",
+       "      <th>1183181</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7354,7 +7345,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1183177</th>\n",
+       "      <th>1183182</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7365,7 +7356,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1183178</th>\n",
+       "      <th>1183183</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7376,7 +7367,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1183179</th>\n",
+       "      <th>1183184</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7387,7 +7378,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1183180</th>\n",
+       "      <th>1183185</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7398,7 +7389,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1183275</th>\n",
+       "      <th>1183280</th>\n",
        "      <td>0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7409,7 +7400,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1188638</th>\n",
+       "      <th>1188643</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7420,7 +7411,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1188639</th>\n",
+       "      <th>1188644</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7431,7 +7422,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1188683</th>\n",
+       "      <th>1188688</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7442,7 +7433,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1188754</th>\n",
+       "      <th>1188759</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7453,7 +7444,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1188811</th>\n",
+       "      <th>1188816</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7464,7 +7455,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1188812</th>\n",
+       "      <th>1188817</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7475,7 +7466,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1188813</th>\n",
+       "      <th>1188818</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7486,7 +7477,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1188814</th>\n",
+       "      <th>1188819</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7497,7 +7488,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1188815</th>\n",
+       "      <th>1188820</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7508,7 +7499,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1209506</th>\n",
+       "      <th>1234111</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7519,7 +7510,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1219313</th>\n",
+       "      <th>1243918</th>\n",
        "      <td>0.0</td>\n",
        "      <td>ppth</td>\n",
        "      <td>NaN</td>\n",
@@ -7543,42 +7534,42 @@
        "551972                 0.0                          ppth     NaN   \n",
        "561300                 0.0                          ppth     NaN   \n",
        "737406               -0.02                          ppth     NaN   \n",
-       "968155                   0                          ppth     NaN   \n",
-       "970962                   0                          ppth     NaN   \n",
-       "972633                0.00                          ppth     NaN   \n",
-       "973891                0.00                          ppth     NaN   \n",
-       "974926                   0                          ppth     NaN   \n",
-       "975776                0.00                          ppth     NaN   \n",
-       "976391                0.00                          ppth     NaN   \n",
-       "978112                   0                          ppth     NaN   \n",
-       "979364                   0                          ppth     NaN   \n",
-       "981344                0.00                          ppth     NaN   \n",
-       "993644               -0.01                          ppth     NaN   \n",
-       "1180376                  0                          ppth     NaN   \n",
+       "968160                   0                          ppth     NaN   \n",
+       "970967                   0                          ppth     NaN   \n",
+       "972638                0.00                          ppth     NaN   \n",
+       "973896                0.00                          ppth     NaN   \n",
+       "974931                   0                          ppth     NaN   \n",
+       "975781                0.00                          ppth     NaN   \n",
+       "976396                0.00                          ppth     NaN   \n",
+       "978117                   0                          ppth     NaN   \n",
+       "979369                   0                          ppth     NaN   \n",
+       "981349                0.00                          ppth     NaN   \n",
+       "993649               -0.01                          ppth     NaN   \n",
        "1180381                  0                          ppth     NaN   \n",
-       "1180467                  0                          ppth     NaN   \n",
-       "1180468                  0                          ppth     NaN   \n",
-       "1180469                  0                          ppth     NaN   \n",
-       "1180470                  0                          ppth     NaN   \n",
-       "1183036                  0                          ppth     NaN   \n",
-       "1183175                  0                          ppth     NaN   \n",
-       "1183176                  0                          ppth     NaN   \n",
-       "1183177                  0                          ppth     NaN   \n",
-       "1183178                  0                          ppth     NaN   \n",
-       "1183179                  0                          ppth     NaN   \n",
+       "1180386                  0                          ppth     NaN   \n",
+       "1180472                  0                          ppth     NaN   \n",
+       "1180473                  0                          ppth     NaN   \n",
+       "1180474                  0                          ppth     NaN   \n",
+       "1180475                  0                          ppth     NaN   \n",
+       "1183041                  0                          ppth     NaN   \n",
        "1183180                  0                          ppth     NaN   \n",
-       "1183275                  0                          ppth     NaN   \n",
-       "1188638                0.0                          ppth     NaN   \n",
-       "1188639                0.0                          ppth     NaN   \n",
-       "1188683                0.0                          ppth     NaN   \n",
-       "1188754                0.0                          ppth     NaN   \n",
-       "1188811                0.0                          ppth     NaN   \n",
-       "1188812                0.0                          ppth     NaN   \n",
-       "1188813                0.0                          ppth     NaN   \n",
-       "1188814                0.0                          ppth     NaN   \n",
-       "1188815                0.0                          ppth     NaN   \n",
-       "1209506                0.0                          ppth     NaN   \n",
-       "1219313                0.0                          ppth     NaN   \n",
+       "1183181                  0                          ppth     NaN   \n",
+       "1183182                  0                          ppth     NaN   \n",
+       "1183183                  0                          ppth     NaN   \n",
+       "1183184                  0                          ppth     NaN   \n",
+       "1183185                  0                          ppth     NaN   \n",
+       "1183280                  0                          ppth     NaN   \n",
+       "1188643                0.0                          ppth     NaN   \n",
+       "1188644                0.0                          ppth     NaN   \n",
+       "1188688                0.0                          ppth     NaN   \n",
+       "1188759                0.0                          ppth     NaN   \n",
+       "1188816                0.0                          ppth     NaN   \n",
+       "1188817                0.0                          ppth     NaN   \n",
+       "1188818                0.0                          ppth     NaN   \n",
+       "1188819                0.0                          ppth     NaN   \n",
+       "1188820                0.0                          ppth     NaN   \n",
+       "1234111                0.0                          ppth     NaN   \n",
+       "1243918                0.0                          ppth     NaN   \n",
        "\n",
        "                               Salinity ResultDetectionConditionText  \\\n",
        "25321      0.0 Practical_Salinity_Units                          NaN   \n",
@@ -7589,42 +7580,42 @@
        "551972     0.0 Practical_Salinity_Units                          NaN   \n",
        "561300     0.0 Practical_Salinity_Units                          NaN   \n",
        "737406   -0.02 Practical_Salinity_Units                          NaN   \n",
-       "968155     0.0 Practical_Salinity_Units                          NaN   \n",
-       "970962     0.0 Practical_Salinity_Units                          NaN   \n",
-       "972633     0.0 Practical_Salinity_Units                          NaN   \n",
-       "973891     0.0 Practical_Salinity_Units                          NaN   \n",
-       "974926     0.0 Practical_Salinity_Units                          NaN   \n",
-       "975776     0.0 Practical_Salinity_Units                          NaN   \n",
-       "976391     0.0 Practical_Salinity_Units                          NaN   \n",
-       "978112     0.0 Practical_Salinity_Units                          NaN   \n",
-       "979364     0.0 Practical_Salinity_Units                          NaN   \n",
-       "981344     0.0 Practical_Salinity_Units                          NaN   \n",
-       "993644   -0.01 Practical_Salinity_Units                          NaN   \n",
-       "1180376    0.0 Practical_Salinity_Units                          NaN   \n",
+       "968160     0.0 Practical_Salinity_Units                          NaN   \n",
+       "970967     0.0 Practical_Salinity_Units                          NaN   \n",
+       "972638     0.0 Practical_Salinity_Units                          NaN   \n",
+       "973896     0.0 Practical_Salinity_Units                          NaN   \n",
+       "974931     0.0 Practical_Salinity_Units                          NaN   \n",
+       "975781     0.0 Practical_Salinity_Units                          NaN   \n",
+       "976396     0.0 Practical_Salinity_Units                          NaN   \n",
+       "978117     0.0 Practical_Salinity_Units                          NaN   \n",
+       "979369     0.0 Practical_Salinity_Units                          NaN   \n",
+       "981349     0.0 Practical_Salinity_Units                          NaN   \n",
+       "993649   -0.01 Practical_Salinity_Units                          NaN   \n",
        "1180381    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1180467    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1180468    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1180469    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1180470    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1183036    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1183175    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1183176    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1183177    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1183178    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1183179    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1180386    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1180472    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1180473    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1180474    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1180475    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1183041    0.0 Practical_Salinity_Units                          NaN   \n",
        "1183180    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1183275    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1188638    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1188639    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1188683    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1188754    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1188811    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1188812    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1188813    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1188814    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1188815    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1209506    0.0 Practical_Salinity_Units                          NaN   \n",
-       "1219313    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1183181    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1183182    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1183183    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1183184    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1183185    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1183280    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1188643    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1188644    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1188688    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1188759    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1188816    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1188817    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1188818    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1188819    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1188820    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1234111    0.0 Practical_Salinity_Units                          NaN   \n",
+       "1243918    0.0 Practical_Salinity_Units                          NaN   \n",
        "\n",
        "        DetectionQuantitationLimitTypeName  \\\n",
        "25321             Lower Quantitation Limit   \n",
@@ -7635,42 +7626,42 @@
        "551972                                 NaN   \n",
        "561300                                 NaN   \n",
        "737406                                 NaN   \n",
-       "968155                                 NaN   \n",
-       "970962                                 NaN   \n",
-       "972633                                 NaN   \n",
-       "973891                                 NaN   \n",
-       "974926                                 NaN   \n",
-       "975776                                 NaN   \n",
-       "976391                                 NaN   \n",
-       "978112                                 NaN   \n",
-       "979364                                 NaN   \n",
-       "981344                                 NaN   \n",
-       "993644                                 NaN   \n",
-       "1180376                                NaN   \n",
+       "968160                                 NaN   \n",
+       "970967                                 NaN   \n",
+       "972638                                 NaN   \n",
+       "973896                                 NaN   \n",
+       "974931                                 NaN   \n",
+       "975781                                 NaN   \n",
+       "976396                                 NaN   \n",
+       "978117                                 NaN   \n",
+       "979369                                 NaN   \n",
+       "981349                                 NaN   \n",
+       "993649                                 NaN   \n",
        "1180381                                NaN   \n",
-       "1180467                                NaN   \n",
-       "1180468                                NaN   \n",
-       "1180469                                NaN   \n",
-       "1180470                                NaN   \n",
-       "1183036                                NaN   \n",
-       "1183175                                NaN   \n",
-       "1183176                                NaN   \n",
-       "1183177                                NaN   \n",
-       "1183178                                NaN   \n",
-       "1183179                                NaN   \n",
+       "1180386                                NaN   \n",
+       "1180472                                NaN   \n",
+       "1180473                                NaN   \n",
+       "1180474                                NaN   \n",
+       "1180475                                NaN   \n",
+       "1183041                                NaN   \n",
        "1183180                                NaN   \n",
-       "1183275                                NaN   \n",
-       "1188638                                NaN   \n",
-       "1188639                                NaN   \n",
-       "1188683                                NaN   \n",
-       "1188754                                NaN   \n",
-       "1188811                                NaN   \n",
-       "1188812                                NaN   \n",
-       "1188813                                NaN   \n",
-       "1188814                                NaN   \n",
-       "1188815                                NaN   \n",
-       "1209506                                NaN   \n",
-       "1219313                                NaN   \n",
+       "1183181                                NaN   \n",
+       "1183182                                NaN   \n",
+       "1183183                                NaN   \n",
+       "1183184                                NaN   \n",
+       "1183185                                NaN   \n",
+       "1183280                                NaN   \n",
+       "1188643                                NaN   \n",
+       "1188644                                NaN   \n",
+       "1188688                                NaN   \n",
+       "1188759                                NaN   \n",
+       "1188816                                NaN   \n",
+       "1188817                                NaN   \n",
+       "1188818                                NaN   \n",
+       "1188819                                NaN   \n",
+       "1188820                                NaN   \n",
+       "1234111                                NaN   \n",
+       "1243918                                NaN   \n",
        "\n",
        "         DetectionQuantitationLimitMeasure/MeasureValue  \\\n",
        "25321                                               5.0   \n",
@@ -7681,42 +7672,42 @@
        "551972                                              NaN   \n",
        "561300                                              NaN   \n",
        "737406                                              NaN   \n",
-       "968155                                              NaN   \n",
-       "970962                                              NaN   \n",
-       "972633                                              NaN   \n",
-       "973891                                              NaN   \n",
-       "974926                                              NaN   \n",
-       "975776                                              NaN   \n",
-       "976391                                              NaN   \n",
-       "978112                                              NaN   \n",
-       "979364                                              NaN   \n",
-       "981344                                              NaN   \n",
-       "993644                                              NaN   \n",
-       "1180376                                             NaN   \n",
+       "968160                                              NaN   \n",
+       "970967                                              NaN   \n",
+       "972638                                              NaN   \n",
+       "973896                                              NaN   \n",
+       "974931                                              NaN   \n",
+       "975781                                              NaN   \n",
+       "976396                                              NaN   \n",
+       "978117                                              NaN   \n",
+       "979369                                              NaN   \n",
+       "981349                                              NaN   \n",
+       "993649                                              NaN   \n",
        "1180381                                             NaN   \n",
-       "1180467                                             NaN   \n",
-       "1180468                                             NaN   \n",
-       "1180469                                             NaN   \n",
-       "1180470                                             NaN   \n",
-       "1183036                                             NaN   \n",
-       "1183175                                             NaN   \n",
-       "1183176                                             NaN   \n",
-       "1183177                                             NaN   \n",
-       "1183178                                             NaN   \n",
-       "1183179                                             NaN   \n",
+       "1180386                                             NaN   \n",
+       "1180472                                             NaN   \n",
+       "1180473                                             NaN   \n",
+       "1180474                                             NaN   \n",
+       "1180475                                             NaN   \n",
+       "1183041                                             NaN   \n",
        "1183180                                             NaN   \n",
-       "1183275                                             NaN   \n",
-       "1188638                                             NaN   \n",
-       "1188639                                             NaN   \n",
-       "1188683                                             NaN   \n",
-       "1188754                                             NaN   \n",
-       "1188811                                             NaN   \n",
-       "1188812                                             NaN   \n",
-       "1188813                                             NaN   \n",
-       "1188814                                             NaN   \n",
-       "1188815                                             NaN   \n",
-       "1209506                                             NaN   \n",
-       "1219313                                             NaN   \n",
+       "1183181                                             NaN   \n",
+       "1183182                                             NaN   \n",
+       "1183183                                             NaN   \n",
+       "1183184                                             NaN   \n",
+       "1183185                                             NaN   \n",
+       "1183280                                             NaN   \n",
+       "1188643                                             NaN   \n",
+       "1188644                                             NaN   \n",
+       "1188688                                             NaN   \n",
+       "1188759                                             NaN   \n",
+       "1188816                                             NaN   \n",
+       "1188817                                             NaN   \n",
+       "1188818                                             NaN   \n",
+       "1188819                                             NaN   \n",
+       "1188820                                             NaN   \n",
+       "1234111                                             NaN   \n",
+       "1243918                                             NaN   \n",
        "\n",
        "        DetectionQuantitationLimitMeasure/MeasureUnitCode  \n",
        "25321                                                ppth  \n",
@@ -7727,42 +7718,42 @@
        "551972                                                NaN  \n",
        "561300                                                NaN  \n",
        "737406                                                NaN  \n",
-       "968155                                                NaN  \n",
-       "970962                                                NaN  \n",
-       "972633                                                NaN  \n",
-       "973891                                                NaN  \n",
-       "974926                                                NaN  \n",
-       "975776                                                NaN  \n",
-       "976391                                                NaN  \n",
-       "978112                                                NaN  \n",
-       "979364                                                NaN  \n",
-       "981344                                                NaN  \n",
-       "993644                                                NaN  \n",
-       "1180376                                               NaN  \n",
+       "968160                                                NaN  \n",
+       "970967                                                NaN  \n",
+       "972638                                                NaN  \n",
+       "973896                                                NaN  \n",
+       "974931                                                NaN  \n",
+       "975781                                                NaN  \n",
+       "976396                                                NaN  \n",
+       "978117                                                NaN  \n",
+       "979369                                                NaN  \n",
+       "981349                                                NaN  \n",
+       "993649                                                NaN  \n",
        "1180381                                               NaN  \n",
-       "1180467                                               NaN  \n",
-       "1180468                                               NaN  \n",
-       "1180469                                               NaN  \n",
-       "1180470                                               NaN  \n",
-       "1183036                                               NaN  \n",
-       "1183175                                               NaN  \n",
-       "1183176                                               NaN  \n",
-       "1183177                                               NaN  \n",
-       "1183178                                               NaN  \n",
-       "1183179                                               NaN  \n",
+       "1180386                                               NaN  \n",
+       "1180472                                               NaN  \n",
+       "1180473                                               NaN  \n",
+       "1180474                                               NaN  \n",
+       "1180475                                               NaN  \n",
+       "1183041                                               NaN  \n",
        "1183180                                               NaN  \n",
-       "1183275                                               NaN  \n",
-       "1188638                                               NaN  \n",
-       "1188639                                               NaN  \n",
-       "1188683                                               NaN  \n",
-       "1188754                                               NaN  \n",
-       "1188811                                               NaN  \n",
-       "1188812                                               NaN  \n",
-       "1188813                                               NaN  \n",
-       "1188814                                               NaN  \n",
-       "1188815                                               NaN  \n",
-       "1209506                                               NaN  \n",
-       "1219313                                               NaN  "
+       "1183181                                               NaN  \n",
+       "1183182                                               NaN  \n",
+       "1183183                                               NaN  \n",
+       "1183184                                               NaN  \n",
+       "1183185                                               NaN  \n",
+       "1183280                                               NaN  \n",
+       "1188643                                               NaN  \n",
+       "1188644                                               NaN  \n",
+       "1188688                                               NaN  \n",
+       "1188759                                               NaN  \n",
+       "1188816                                               NaN  \n",
+       "1188817                                               NaN  \n",
+       "1188818                                               NaN  \n",
+       "1188819                                               NaN  \n",
+       "1188820                                               NaN  \n",
+       "1234111                                               NaN  \n",
+       "1243918                                               NaN  "
       ]
      },
      "execution_count": 77,
@@ -7787,26 +7778,27 @@
    "execution_count": 78,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:09.056021Z",
-     "iopub.status.busy": "2024-09-05T03:59:09.055679Z",
-     "iopub.status.idle": "2024-09-05T03:59:09.090542Z",
-     "shell.execute_reply": "2024-09-05T03:59:09.090090Z"
+     "iopub.execute_input": "2024-11-05T03:43:50.204491Z",
+     "iopub.status.busy": "2024-11-05T03:43:50.204323Z",
+     "iopub.status.idle": "2024-11-05T03:43:50.239067Z",
+     "shell.execute_reply": "2024-11-05T03:43:50.238615Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "481429    626.0 microsiemens / centimeter\n",
-       "486072    688.0 microsiemens / centimeter\n",
-       "503763    606.0 microsiemens / centimeter\n",
-       "504635    606.0 microsiemens / centimeter\n",
-       "507781    633.0 microsiemens / centimeter\n",
-       "577362    775.0 microsiemens / centimeter\n",
-       "580144    776.0 microsiemens / centimeter\n",
-       "581124    776.0 microsiemens / centimeter\n",
-       "583254    776.0 microsiemens / centimeter\n",
-       "588592    775.0 microsiemens / centimeter\n",
+       "385627      626.0 microsiemens / centimeter\n",
+       "390270      688.0 microsiemens / centimeter\n",
+       "407961      606.0 microsiemens / centimeter\n",
+       "408833      606.0 microsiemens / centimeter\n",
+       "411979      633.0 microsiemens / centimeter\n",
+       "577362      775.0 microsiemens / centimeter\n",
+       "580144      776.0 microsiemens / centimeter\n",
+       "581124      776.0 microsiemens / centimeter\n",
+       "583254      776.0 microsiemens / centimeter\n",
+       "588592      775.0 microsiemens / centimeter\n",
+       "878088    20500.0 microsiemens / centimeter\n",
        "Name: Conductivity, dtype: object"
       ]
      },
@@ -7833,10 +7825,10 @@
    "execution_count": 79,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:09.092743Z",
-     "iopub.status.busy": "2024-09-05T03:59:09.092414Z",
-     "iopub.status.idle": "2024-09-05T03:59:09.921902Z",
-     "shell.execute_reply": "2024-09-05T03:59:09.921373Z"
+     "iopub.execute_input": "2024-11-05T03:43:50.240926Z",
+     "iopub.status.busy": "2024-11-05T03:43:50.240622Z",
+     "iopub.status.idle": "2024-11-05T03:43:51.099637Z",
+     "shell.execute_reply": "2024-11-05T03:43:51.099064Z"
     }
    },
    "outputs": [
@@ -7870,6 +7862,14 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th>878088</th>\n",
+       "      <td>20500</td>\n",
+       "      <td>uS/cm</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>20500.0 microsiemens / centimeter</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>580144</th>\n",
        "      <td>776</td>\n",
        "      <td>uS/cm</td>\n",
@@ -7910,7 +7910,7 @@
        "      <td>775.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>486072</th>\n",
+       "      <th>390270</th>\n",
        "      <td>688</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7918,7 +7918,7 @@
        "      <td>688.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>507781</th>\n",
+       "      <th>411979</th>\n",
        "      <td>633</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7926,7 +7926,7 @@
        "      <td>633.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>481429</th>\n",
+       "      <th>385627</th>\n",
        "      <td>626</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7934,7 +7934,7 @@
        "      <td>626.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>503763</th>\n",
+       "      <th>407961</th>\n",
        "      <td>606</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7942,7 +7942,7 @@
        "      <td>606.0 microsiemens / centimeter</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>504635</th>\n",
+       "      <th>408833</th>\n",
        "      <td>606</td>\n",
        "      <td>uS/cm</td>\n",
        "      <td>NaN</td>\n",
@@ -7955,28 +7955,30 @@
       ],
       "text/plain": [
        "       ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag Salinity  \\\n",
+       "878088              20500                         uS/cm     NaN      NaN   \n",
        "580144                776                         uS/cm     NaN      NaN   \n",
        "581124                776                         uS/cm     NaN      NaN   \n",
        "583254                776                         uS/cm     NaN      NaN   \n",
        "577362                775                         uS/cm     NaN      NaN   \n",
        "588592                775                         uS/cm     NaN      NaN   \n",
-       "486072                688                         uS/cm     NaN      NaN   \n",
-       "507781                633                         uS/cm     NaN      NaN   \n",
-       "481429                626                         uS/cm     NaN      NaN   \n",
-       "503763                606                         uS/cm     NaN      NaN   \n",
-       "504635                606                         uS/cm     NaN      NaN   \n",
-       "\n",
-       "                           Conductivity  \n",
-       "580144  776.0 microsiemens / centimeter  \n",
-       "581124  776.0 microsiemens / centimeter  \n",
-       "583254  776.0 microsiemens / centimeter  \n",
-       "577362  775.0 microsiemens / centimeter  \n",
-       "588592  775.0 microsiemens / centimeter  \n",
-       "486072  688.0 microsiemens / centimeter  \n",
-       "507781  633.0 microsiemens / centimeter  \n",
-       "481429  626.0 microsiemens / centimeter  \n",
-       "503763  606.0 microsiemens / centimeter  \n",
-       "504635  606.0 microsiemens / centimeter  "
+       "390270                688                         uS/cm     NaN      NaN   \n",
+       "411979                633                         uS/cm     NaN      NaN   \n",
+       "385627                626                         uS/cm     NaN      NaN   \n",
+       "407961                606                         uS/cm     NaN      NaN   \n",
+       "408833                606                         uS/cm     NaN      NaN   \n",
+       "\n",
+       "                             Conductivity  \n",
+       "878088  20500.0 microsiemens / centimeter  \n",
+       "580144    776.0 microsiemens / centimeter  \n",
+       "581124    776.0 microsiemens / centimeter  \n",
+       "583254    776.0 microsiemens / centimeter  \n",
+       "577362    775.0 microsiemens / centimeter  \n",
+       "588592    775.0 microsiemens / centimeter  \n",
+       "390270    688.0 microsiemens / centimeter  \n",
+       "411979    633.0 microsiemens / centimeter  \n",
+       "385627    626.0 microsiemens / centimeter  \n",
+       "407961    606.0 microsiemens / centimeter  \n",
+       "408833    606.0 microsiemens / centimeter  "
       ]
      },
      "execution_count": 79,
@@ -7996,26 +7998,27 @@
    "execution_count": 80,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:09.924135Z",
-     "iopub.status.busy": "2024-09-05T03:59:09.923796Z",
-     "iopub.status.idle": "2024-09-05T03:59:09.999961Z",
-     "shell.execute_reply": "2024-09-05T03:59:09.999376Z"
+     "iopub.execute_input": "2024-11-05T03:43:51.101462Z",
+     "iopub.status.busy": "2024-11-05T03:43:51.101287Z",
+     "iopub.status.idle": "2024-11-05T03:43:51.177584Z",
+     "shell.execute_reply": "2024-11-05T03:43:51.177114Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "580144    0.379 dimensionless\n",
-       "581124    0.379 dimensionless\n",
-       "583254    0.379 dimensionless\n",
-       "577362    0.379 dimensionless\n",
-       "588592    0.379 dimensionless\n",
-       "486072    0.335 dimensionless\n",
-       "507781    0.308 dimensionless\n",
-       "481429    0.304 dimensionless\n",
-       "503763    0.294 dimensionless\n",
-       "504635    0.294 dimensionless\n",
+       "878088    12.242 dimensionless\n",
+       "580144     0.379 dimensionless\n",
+       "581124     0.379 dimensionless\n",
+       "583254     0.379 dimensionless\n",
+       "577362     0.379 dimensionless\n",
+       "588592     0.379 dimensionless\n",
+       "390270     0.335 dimensionless\n",
+       "411979     0.308 dimensionless\n",
+       "385627     0.304 dimensionless\n",
+       "407961     0.294 dimensionless\n",
+       "408833     0.294 dimensionless\n",
        "Name: Salinity, dtype: object"
       ]
      },
@@ -8050,10 +8053,10 @@
    "execution_count": 81,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:10.002324Z",
-     "iopub.status.busy": "2024-09-05T03:59:10.001977Z",
-     "iopub.status.idle": "2024-09-05T03:59:10.021923Z",
-     "shell.execute_reply": "2024-09-05T03:59:10.021378Z"
+     "iopub.execute_input": "2024-11-05T03:43:51.179400Z",
+     "iopub.status.busy": "2024-11-05T03:43:51.179117Z",
+     "iopub.status.idle": "2024-11-05T03:43:51.200774Z",
+     "shell.execute_reply": "2024-11-05T03:43:51.200262Z"
     }
    },
    "outputs": [
@@ -8085,31 +8088,31 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>580144</th>\n",
-       "      <td>2007-08-15</td>\n",
+       "      <th>878088</th>\n",
+       "      <td>2021-09-17</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>581124</th>\n",
+       "      <th>580144</th>\n",
        "      <td>2007-08-15</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>583254</th>\n",
+       "      <th>581124</th>\n",
        "      <td>2007-08-15</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>577362</th>\n",
+       "      <th>583254</th>\n",
        "      <td>2007-08-15</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>588592</th>\n",
+       "      <th>577362</th>\n",
        "      <td>2007-08-15</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -8121,68 +8124,68 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469287</th>\n",
+       "      <th>1472807</th>\n",
        "      <td>1955-04-08</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469288</th>\n",
+       "      <th>1472808</th>\n",
        "      <td>1955-04-08</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469289</th>\n",
+       "      <th>1472809</th>\n",
        "      <td>1957-10-21</td>\n",
        "      <td>14:05:00</td>\n",
        "      <td>EST</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469290</th>\n",
+       "      <th>1472810</th>\n",
        "      <td>1955-04-08</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469291</th>\n",
+       "      <th>1472811</th>\n",
        "      <td>1955-04-08</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1469292 rows × 3 columns</p>\n",
+       "<p>1472812 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "        ActivityStartDate ActivityStartTime/Time  \\\n",
+       "878088         2021-09-17                    NaN   \n",
        "580144         2007-08-15                    NaN   \n",
        "581124         2007-08-15                    NaN   \n",
        "583254         2007-08-15                    NaN   \n",
        "577362         2007-08-15                    NaN   \n",
-       "588592         2007-08-15                    NaN   \n",
        "...                   ...                    ...   \n",
-       "1469287        1955-04-08                    NaN   \n",
-       "1469288        1955-04-08                    NaN   \n",
-       "1469289        1957-10-21               14:05:00   \n",
-       "1469290        1955-04-08                    NaN   \n",
-       "1469291        1955-04-08                    NaN   \n",
+       "1472807        1955-04-08                    NaN   \n",
+       "1472808        1955-04-08                    NaN   \n",
+       "1472809        1957-10-21               14:05:00   \n",
+       "1472810        1955-04-08                    NaN   \n",
+       "1472811        1955-04-08                    NaN   \n",
        "\n",
        "        ActivityStartTime/TimeZoneCode  \n",
+       "878088                             NaN  \n",
        "580144                             NaN  \n",
        "581124                             NaN  \n",
        "583254                             NaN  \n",
        "577362                             NaN  \n",
-       "588592                             NaN  \n",
        "...                                ...  \n",
-       "1469287                            NaN  \n",
-       "1469288                            NaN  \n",
-       "1469289                            EST  \n",
-       "1469290                            NaN  \n",
-       "1469291                            NaN  \n",
+       "1472807                            NaN  \n",
+       "1472808                            NaN  \n",
+       "1472809                            EST  \n",
+       "1472810                            NaN  \n",
+       "1472811                            NaN  \n",
        "\n",
-       "[1469292 rows x 3 columns]"
+       "[1472812 rows x 3 columns]"
       ]
      },
      "execution_count": 81,
@@ -8201,10 +8204,10 @@
    "execution_count": 82,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:10.024079Z",
-     "iopub.status.busy": "2024-09-05T03:59:10.023729Z",
-     "iopub.status.idle": "2024-09-05T03:59:19.842465Z",
-     "shell.execute_reply": "2024-09-05T03:59:19.841963Z"
+     "iopub.execute_input": "2024-11-05T03:43:51.202640Z",
+     "iopub.status.busy": "2024-11-05T03:43:51.202308Z",
+     "iopub.status.idle": "2024-11-05T03:44:00.971503Z",
+     "shell.execute_reply": "2024-11-05T03:44:00.970997Z"
     }
    },
    "outputs": [
@@ -8212,7 +8215,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 100662 incomplete dates found, consider setting datetime_index to False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 100667 incomplete dates found, consider setting datetime_index to False.\n",
       "  warnings.warn(\n"
      ]
     },
@@ -8243,6 +8246,11 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th>878088</th>\n",
+       "      <td>2021-09-17</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>580144</th>\n",
        "      <td>2007-08-15</td>\n",
        "      <td>NaT</td>\n",
@@ -8263,60 +8271,55 @@
        "      <td>NaT</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>588592</th>\n",
-       "      <td>2007-08-15</td>\n",
-       "      <td>NaT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469287</th>\n",
+       "      <th>1472807</th>\n",
        "      <td>1955-04-08</td>\n",
        "      <td>NaT</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469288</th>\n",
+       "      <th>1472808</th>\n",
        "      <td>1955-04-08</td>\n",
        "      <td>NaT</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469289</th>\n",
+       "      <th>1472809</th>\n",
        "      <td>1957-10-21</td>\n",
        "      <td>1957-10-21 19:05:00+00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469290</th>\n",
+       "      <th>1472810</th>\n",
        "      <td>1955-04-08</td>\n",
        "      <td>NaT</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469291</th>\n",
+       "      <th>1472811</th>\n",
        "      <td>1955-04-08</td>\n",
        "      <td>NaT</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1469292 rows × 2 columns</p>\n",
+       "<p>1472812 rows × 2 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "        ActivityStartDate         Activity_datetime\n",
+       "878088         2021-09-17                       NaT\n",
        "580144         2007-08-15                       NaT\n",
        "581124         2007-08-15                       NaT\n",
        "583254         2007-08-15                       NaT\n",
        "577362         2007-08-15                       NaT\n",
-       "588592         2007-08-15                       NaT\n",
        "...                   ...                       ...\n",
-       "1469287        1955-04-08                       NaT\n",
-       "1469288        1955-04-08                       NaT\n",
-       "1469289        1957-10-21 1957-10-21 19:05:00+00:00\n",
-       "1469290        1955-04-08                       NaT\n",
-       "1469291        1955-04-08                       NaT\n",
+       "1472807        1955-04-08                       NaT\n",
+       "1472808        1955-04-08                       NaT\n",
+       "1472809        1957-10-21 1957-10-21 19:05:00+00:00\n",
+       "1472810        1955-04-08                       NaT\n",
+       "1472811        1955-04-08                       NaT\n",
        "\n",
-       "[1469292 rows x 2 columns]"
+       "[1472812 rows x 2 columns]"
       ]
      },
      "execution_count": 82,
@@ -8356,27 +8359,27 @@
    "execution_count": 83,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:19.844766Z",
-     "iopub.status.busy": "2024-09-05T03:59:19.844428Z",
-     "iopub.status.idle": "2024-09-05T03:59:20.605888Z",
-     "shell.execute_reply": "2024-09-05T03:59:20.605269Z"
+     "iopub.execute_input": "2024-11-05T03:44:00.973495Z",
+     "iopub.status.busy": "2024-11-05T03:44:00.973160Z",
+     "iopub.status.idle": "2024-11-05T03:44:01.734050Z",
+     "shell.execute_reply": "2024-11-05T03:44:01.733576Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "486072     0.95\n",
-       "507781     0.50\n",
-       "481429     0.00\n",
-       "377563     0.10\n",
-       "378566     0.10\n",
+       "390270     0.95\n",
+       "411979     0.50\n",
+       "385627     0.00\n",
+       "377512     0.15\n",
+       "377995     0.50\n",
        "           ... \n",
-       "1363579    0.33\n",
-       "1412499    0.33\n",
-       "1413031    0.30\n",
-       "1414919    0.30\n",
-       "1417055    0.33\n",
+       "1352945    0.33\n",
+       "1417939    0.33\n",
+       "1418487    0.30\n",
+       "1420456    0.30\n",
+       "1422688    0.33\n",
        "Name: ResultDepthHeightMeasure/MeasureValue, Length: 495, dtype: float64"
       ]
      },
@@ -8404,10 +8407,10 @@
    "execution_count": 84,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:20.608073Z",
-     "iopub.status.busy": "2024-09-05T03:59:20.607807Z",
-     "iopub.status.idle": "2024-09-05T03:59:36.195181Z",
-     "shell.execute_reply": "2024-09-05T03:59:36.194557Z"
+     "iopub.execute_input": "2024-11-05T03:44:01.735664Z",
+     "iopub.status.busy": "2024-11-05T03:44:01.735510Z",
+     "iopub.status.idle": "2024-11-05T03:44:17.085368Z",
+     "shell.execute_reply": "2024-11-05T03:44:17.084767Z"
     }
    },
    "outputs": [
@@ -8443,29 +8446,29 @@
        "      <th>DataLoggerLine</th>\n",
        "      <th>ResultDetectionConditionText</th>\n",
        "      <th>...</th>\n",
-       "      <th>QA_pH</th>\n",
-       "      <th>QA_Temperature</th>\n",
-       "      <th>QA_E_coli</th>\n",
-       "      <th>QA_Salinity</th>\n",
-       "      <th>QA_Nitrogen</th>\n",
-       "      <th>QA_Conductivity</th>\n",
-       "      <th>QA_Fecal_Coliform</th>\n",
        "      <th>QA_DO</th>\n",
+       "      <th>QA_Nitrogen</th>\n",
+       "      <th>QA_Secchi</th>\n",
        "      <th>QA_Carbon</th>\n",
-       "      <th>QA_Turbidity</th>\n",
+       "      <th>QA_Conductivity</th>\n",
+       "      <th>QA_TP_Phosphorus</th>\n",
+       "      <th>QA_TDP_Phosphorus</th>\n",
+       "      <th>QA_Other_Phosphorus</th>\n",
+       "      <th>QA_Chlorophyll</th>\n",
+       "      <th>QA_pH</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>580144</th>\n",
+       "      <th>878088</th>\n",
        "      <td>NARS_WQX</td>\n",
        "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
-       "      <td>NARS_WQX-PRF:0161:1:070815:2</td>\n",
-       "      <td>2007-08-15</td>\n",
+       "      <td>NARS_WQX-192970_2021</td>\n",
+       "      <td>2021-09-17</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>NARS_WQX-NLA06608-0161</td>\n",
-       "      <td>STORET-183201126</td>\n",
+       "      <td>NARS_WQX-NWC_FL-10535</td>\n",
+       "      <td>STORET-1040690254</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -8481,15 +8484,15 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>581124</th>\n",
+       "      <th>580144</th>\n",
        "      <td>NARS_WQX</td>\n",
        "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
-       "      <td>NARS_WQX-PRF:0161:1:070815:3.3</td>\n",
+       "      <td>NARS_WQX-PRF:0161:1:070815:2</td>\n",
        "      <td>2007-08-15</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NARS_WQX-NLA06608-0161</td>\n",
-       "      <td>STORET-183201150</td>\n",
+       "      <td>STORET-183201126</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -8505,15 +8508,15 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>583254</th>\n",
+       "      <th>581124</th>\n",
        "      <td>NARS_WQX</td>\n",
        "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
-       "      <td>NARS_WQX-PRF:0161:1:070815:3</td>\n",
+       "      <td>NARS_WQX-PRF:0161:1:070815:3.3</td>\n",
        "      <td>2007-08-15</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NARS_WQX-NLA06608-0161</td>\n",
-       "      <td>STORET-183201135</td>\n",
+       "      <td>STORET-183201150</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -8529,15 +8532,15 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>577362</th>\n",
+       "      <th>583254</th>\n",
        "      <td>NARS_WQX</td>\n",
        "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
-       "      <td>NARS_WQX-PRF:0161:1:070815:1</td>\n",
+       "      <td>NARS_WQX-PRF:0161:1:070815:3</td>\n",
        "      <td>2007-08-15</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NARS_WQX-NLA06608-0161</td>\n",
-       "      <td>STORET-183201115</td>\n",
+       "      <td>STORET-183201135</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -8553,15 +8556,15 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>588592</th>\n",
+       "      <th>577362</th>\n",
        "      <td>NARS_WQX</td>\n",
        "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
-       "      <td>NARS_WQX-PRF:0161:1:070815:0</td>\n",
+       "      <td>NARS_WQX-PRF:0161:1:070815:1</td>\n",
        "      <td>2007-08-15</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NARS_WQX-NLA06608-0161</td>\n",
-       "      <td>STORET-183201107</td>\n",
+       "      <td>STORET-183201115</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
@@ -8601,7 +8604,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469287</th>\n",
+       "      <th>1472807</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500762</td>\n",
@@ -8625,7 +8628,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469288</th>\n",
+       "      <th>1472808</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500762</td>\n",
@@ -8649,7 +8652,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469289</th>\n",
+       "      <th>1472809</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95800924</td>\n",
@@ -8673,7 +8676,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469290</th>\n",
+       "      <th>1472810</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500782</td>\n",
@@ -8697,7 +8700,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1469291</th>\n",
+       "      <th>1472811</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500782</td>\n",
@@ -8722,102 +8725,102 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1400615 rows × 117 columns</p>\n",
+       "<p>1403919 rows × 117 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "        OrganizationIdentifier                        OrganizationFormalName  \\\n",
+       "878088                NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
        "580144                NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
        "581124                NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
        "583254                NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
        "577362                NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
-       "588592                NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
        "...                        ...                                           ...   \n",
-       "1469287                USGS-FL             USGS Florida Water Science Center   \n",
-       "1469288                USGS-FL             USGS Florida Water Science Center   \n",
-       "1469289                USGS-FL             USGS Florida Water Science Center   \n",
-       "1469290                USGS-FL             USGS Florida Water Science Center   \n",
-       "1469291                USGS-FL             USGS Florida Water Science Center   \n",
+       "1472807                USGS-FL             USGS Florida Water Science Center   \n",
+       "1472808                USGS-FL             USGS Florida Water Science Center   \n",
+       "1472809                USGS-FL             USGS Florida Water Science Center   \n",
+       "1472810                USGS-FL             USGS Florida Water Science Center   \n",
+       "1472811                USGS-FL             USGS Florida Water Science Center   \n",
        "\n",
        "                     ActivityIdentifier ActivityStartDate  \\\n",
+       "878088             NARS_WQX-192970_2021        2021-09-17   \n",
        "580144     NARS_WQX-PRF:0161:1:070815:2        2007-08-15   \n",
        "581124   NARS_WQX-PRF:0161:1:070815:3.3        2007-08-15   \n",
        "583254     NARS_WQX-PRF:0161:1:070815:3        2007-08-15   \n",
        "577362     NARS_WQX-PRF:0161:1:070815:1        2007-08-15   \n",
-       "588592     NARS_WQX-PRF:0161:1:070815:0        2007-08-15   \n",
        "...                                 ...               ...   \n",
-       "1469287              nwisfl.01.95500762        1955-04-08   \n",
-       "1469288              nwisfl.01.95500762        1955-04-08   \n",
-       "1469289              nwisfl.01.95800924        1957-10-21   \n",
-       "1469290              nwisfl.01.95500782        1955-04-08   \n",
-       "1469291              nwisfl.01.95500782        1955-04-08   \n",
+       "1472807              nwisfl.01.95500762        1955-04-08   \n",
+       "1472808              nwisfl.01.95500762        1955-04-08   \n",
+       "1472809              nwisfl.01.95800924        1957-10-21   \n",
+       "1472810              nwisfl.01.95500782        1955-04-08   \n",
+       "1472811              nwisfl.01.95500782        1955-04-08   \n",
        "\n",
        "        ActivityStartTime/Time ActivityStartTime/TimeZoneCode  \\\n",
+       "878088                     NaN                            NaN   \n",
        "580144                     NaN                            NaN   \n",
        "581124                     NaN                            NaN   \n",
        "583254                     NaN                            NaN   \n",
        "577362                     NaN                            NaN   \n",
-       "588592                     NaN                            NaN   \n",
        "...                        ...                            ...   \n",
-       "1469287                    NaN                            NaN   \n",
-       "1469288                    NaN                            NaN   \n",
-       "1469289               14:05:00                          -0500   \n",
-       "1469290                    NaN                            NaN   \n",
-       "1469291                    NaN                            NaN   \n",
-       "\n",
-       "        MonitoringLocationIdentifier  ResultIdentifier  DataLoggerLine  \\\n",
-       "580144        NARS_WQX-NLA06608-0161  STORET-183201126             NaN   \n",
-       "581124        NARS_WQX-NLA06608-0161  STORET-183201150             NaN   \n",
-       "583254        NARS_WQX-NLA06608-0161  STORET-183201135             NaN   \n",
-       "577362        NARS_WQX-NLA06608-0161  STORET-183201115             NaN   \n",
-       "588592        NARS_WQX-NLA06608-0161  STORET-183201107             NaN   \n",
-       "...                              ...               ...             ...   \n",
-       "1469287         USGS-273926082304501      NWIS-6842541             NaN   \n",
-       "1469288         USGS-273926082304501      NWIS-6842544             NaN   \n",
-       "1469289                USGS-02306001      NWIS-6894410             NaN   \n",
-       "1469290         USGS-274455082253601      NWIS-6842941             NaN   \n",
-       "1469291         USGS-274455082253601      NWIS-6842944             NaN   \n",
-       "\n",
-       "        ResultDetectionConditionText  ... QA_pH QA_Temperature QA_E_coli  \\\n",
-       "580144                           NaN  ...   NaN            NaN       NaN   \n",
-       "581124                           NaN  ...   NaN            NaN       NaN   \n",
-       "583254                           NaN  ...   NaN            NaN       NaN   \n",
-       "577362                           NaN  ...   NaN            NaN       NaN   \n",
-       "588592                           NaN  ...   NaN            NaN       NaN   \n",
-       "...                              ...  ...   ...            ...       ...   \n",
-       "1469287                          NaN  ...   NaN            NaN       NaN   \n",
-       "1469288                          NaN  ...   NaN            NaN       NaN   \n",
-       "1469289                          NaN  ...   NaN            NaN       NaN   \n",
-       "1469290                          NaN  ...   NaN            NaN       NaN   \n",
-       "1469291                          NaN  ...   NaN            NaN       NaN   \n",
-       "\n",
-       "        QA_Salinity QA_Nitrogen QA_Conductivity QA_Fecal_Coliform QA_DO  \\\n",
-       "580144          NaN         NaN             NaN               NaN   NaN   \n",
-       "581124          NaN         NaN             NaN               NaN   NaN   \n",
-       "583254          NaN         NaN             NaN               NaN   NaN   \n",
-       "577362          NaN         NaN             NaN               NaN   NaN   \n",
-       "588592          NaN         NaN             NaN               NaN   NaN   \n",
-       "...             ...         ...             ...               ...   ...   \n",
-       "1469287         NaN         NaN             NaN               NaN   NaN   \n",
-       "1469288         NaN         NaN             NaN               NaN   NaN   \n",
-       "1469289         NaN         NaN             NaN               NaN   NaN   \n",
-       "1469290         NaN         NaN             NaN               NaN   NaN   \n",
-       "1469291         NaN         NaN             NaN               NaN   NaN   \n",
-       "\n",
-       "        QA_Carbon QA_Turbidity  \n",
-       "580144        NaN          NaN  \n",
-       "581124        NaN          NaN  \n",
-       "583254        NaN          NaN  \n",
-       "577362        NaN          NaN  \n",
-       "588592        NaN          NaN  \n",
-       "...           ...          ...  \n",
-       "1469287       NaN          NaN  \n",
-       "1469288       NaN          NaN  \n",
-       "1469289       NaN          NaN  \n",
-       "1469290       NaN          NaN  \n",
-       "1469291       NaN          NaN  \n",
-       "\n",
-       "[1400615 rows x 117 columns]"
+       "1472807                    NaN                            NaN   \n",
+       "1472808                    NaN                            NaN   \n",
+       "1472809               14:05:00                          -0500   \n",
+       "1472810                    NaN                            NaN   \n",
+       "1472811                    NaN                            NaN   \n",
+       "\n",
+       "        MonitoringLocationIdentifier   ResultIdentifier  DataLoggerLine  \\\n",
+       "878088         NARS_WQX-NWC_FL-10535  STORET-1040690254             NaN   \n",
+       "580144        NARS_WQX-NLA06608-0161   STORET-183201126             NaN   \n",
+       "581124        NARS_WQX-NLA06608-0161   STORET-183201150             NaN   \n",
+       "583254        NARS_WQX-NLA06608-0161   STORET-183201135             NaN   \n",
+       "577362        NARS_WQX-NLA06608-0161   STORET-183201115             NaN   \n",
+       "...                              ...                ...             ...   \n",
+       "1472807         USGS-273926082304501       NWIS-6842541             NaN   \n",
+       "1472808         USGS-273926082304501       NWIS-6842544             NaN   \n",
+       "1472809                USGS-02306001       NWIS-6894410             NaN   \n",
+       "1472810         USGS-274455082253601       NWIS-6842941             NaN   \n",
+       "1472811         USGS-274455082253601       NWIS-6842944             NaN   \n",
+       "\n",
+       "        ResultDetectionConditionText  ... QA_DO QA_Nitrogen QA_Secchi  \\\n",
+       "878088                           NaN  ...   NaN         NaN       NaN   \n",
+       "580144                           NaN  ...   NaN         NaN       NaN   \n",
+       "581124                           NaN  ...   NaN         NaN       NaN   \n",
+       "583254                           NaN  ...   NaN         NaN       NaN   \n",
+       "577362                           NaN  ...   NaN         NaN       NaN   \n",
+       "...                              ...  ...   ...         ...       ...   \n",
+       "1472807                          NaN  ...   NaN         NaN       NaN   \n",
+       "1472808                          NaN  ...   NaN         NaN       NaN   \n",
+       "1472809                          NaN  ...   NaN         NaN       NaN   \n",
+       "1472810                          NaN  ...   NaN         NaN       NaN   \n",
+       "1472811                          NaN  ...   NaN         NaN       NaN   \n",
+       "\n",
+       "        QA_Carbon QA_Conductivity QA_TP_Phosphorus QA_TDP_Phosphorus  \\\n",
+       "878088        NaN             NaN              NaN               NaN   \n",
+       "580144        NaN             NaN              NaN               NaN   \n",
+       "581124        NaN             NaN              NaN               NaN   \n",
+       "583254        NaN             NaN              NaN               NaN   \n",
+       "577362        NaN             NaN              NaN               NaN   \n",
+       "...           ...             ...              ...               ...   \n",
+       "1472807       NaN             NaN              NaN               NaN   \n",
+       "1472808       NaN             NaN              NaN               NaN   \n",
+       "1472809       NaN             NaN              NaN               NaN   \n",
+       "1472810       NaN             NaN              NaN               NaN   \n",
+       "1472811       NaN             NaN              NaN               NaN   \n",
+       "\n",
+       "        QA_Other_Phosphorus QA_Chlorophyll QA_pH  \n",
+       "878088                  NaN            NaN   NaN  \n",
+       "580144                  NaN            NaN   NaN  \n",
+       "581124                  NaN            NaN   NaN  \n",
+       "583254                  NaN            NaN   NaN  \n",
+       "577362                  NaN            NaN   NaN  \n",
+       "...                     ...            ...   ...  \n",
+       "1472807                 NaN            NaN   NaN  \n",
+       "1472808                 NaN            NaN   NaN  \n",
+       "1472809                 NaN            NaN   NaN  \n",
+       "1472810                 NaN            NaN   NaN  \n",
+       "1472811                 NaN            NaN   NaN  \n",
+       "\n",
+       "[1403919 rows x 117 columns]"
       ]
      },
      "execution_count": 84,
@@ -8836,10 +8839,10 @@
    "execution_count": 85,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:36.197494Z",
-     "iopub.status.busy": "2024-09-05T03:59:36.197145Z",
-     "iopub.status.idle": "2024-09-05T03:59:36.199977Z",
-     "shell.execute_reply": "2024-09-05T03:59:36.199536Z"
+     "iopub.execute_input": "2024-11-05T03:44:17.087225Z",
+     "iopub.status.busy": "2024-11-05T03:44:17.086861Z",
+     "iopub.status.idle": "2024-11-05T03:44:17.089854Z",
+     "shell.execute_reply": "2024-11-05T03:44:17.089421Z"
     }
    },
    "outputs": [
@@ -8861,10 +8864,10 @@
    "execution_count": 86,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:36.201991Z",
-     "iopub.status.busy": "2024-09-05T03:59:36.201833Z",
-     "iopub.status.idle": "2024-09-05T03:59:36.204725Z",
-     "shell.execute_reply": "2024-09-05T03:59:36.204220Z"
+     "iopub.execute_input": "2024-11-05T03:44:17.091550Z",
+     "iopub.status.busy": "2024-11-05T03:44:17.091249Z",
+     "iopub.status.idle": "2024-11-05T03:44:17.093955Z",
+     "shell.execute_reply": "2024-11-05T03:44:17.093545Z"
     }
    },
    "outputs": [
@@ -8872,7 +8875,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "68677 fewer rows\n"
+      "68893 fewer rows\n"
      ]
     }
    ],
@@ -8886,10 +8889,10 @@
    "execution_count": 87,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:36.206749Z",
-     "iopub.status.busy": "2024-09-05T03:59:36.206428Z",
-     "iopub.status.idle": "2024-09-05T03:59:38.122875Z",
-     "shell.execute_reply": "2024-09-05T03:59:38.122291Z"
+     "iopub.execute_input": "2024-11-05T03:44:17.095558Z",
+     "iopub.status.busy": "2024-11-05T03:44:17.095203Z",
+     "iopub.status.idle": "2024-11-05T03:44:19.120648Z",
+     "shell.execute_reply": "2024-11-05T03:44:19.120114Z"
     }
    },
    "outputs": [
@@ -8954,10 +8957,10 @@
    "execution_count": 88,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:38.125063Z",
-     "iopub.status.busy": "2024-09-05T03:59:38.124714Z",
-     "iopub.status.idle": "2024-09-05T03:59:39.179829Z",
-     "shell.execute_reply": "2024-09-05T03:59:39.179286Z"
+     "iopub.execute_input": "2024-11-05T03:44:19.122563Z",
+     "iopub.status.busy": "2024-11-05T03:44:19.122190Z",
+     "iopub.status.idle": "2024-11-05T03:44:20.195905Z",
+     "shell.execute_reply": "2024-11-05T03:44:20.195285Z"
     }
    },
    "outputs": [],
@@ -8971,10 +8974,10 @@
    "execution_count": 89,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:39.182200Z",
-     "iopub.status.busy": "2024-09-05T03:59:39.182027Z",
-     "iopub.status.idle": "2024-09-05T03:59:39.185965Z",
-     "shell.execute_reply": "2024-09-05T03:59:39.185388Z"
+     "iopub.execute_input": "2024-11-05T03:44:20.198038Z",
+     "iopub.status.busy": "2024-11-05T03:44:20.197846Z",
+     "iopub.status.idle": "2024-11-05T03:44:20.201781Z",
+     "shell.execute_reply": "2024-11-05T03:44:20.201331Z"
     }
    },
    "outputs": [
@@ -8990,11 +8993,10 @@
        "       'E_coli', 'DetectionQuantitationLimitTypeName',\n",
        "       'DetectionQuantitationLimitMeasure/MeasureValue',\n",
        "       'DetectionQuantitationLimitMeasure/MeasureUnitCode',\n",
-       "       'Activity_datetime', 'Depth', 'QA_TP_Phosphorus', 'QA_TDP_Phosphorus',\n",
-       "       'QA_Other_Phosphorus', 'QA_Secchi', 'QA_Chlorophyll', 'QA_pH',\n",
-       "       'QA_Temperature', 'QA_E_coli', 'QA_Salinity', 'QA_Nitrogen',\n",
-       "       'QA_Conductivity', 'QA_Fecal_Coliform', 'QA_DO', 'QA_Carbon',\n",
-       "       'QA_Turbidity'],\n",
+       "       'Activity_datetime', 'Depth', 'QA_Salinity', 'QA_Fecal_Coliform',\n",
+       "       'QA_Turbidity', 'QA_E_coli', 'QA_Temperature', 'QA_DO', 'QA_Nitrogen',\n",
+       "       'QA_Secchi', 'QA_Carbon', 'QA_Conductivity', 'QA_TP_Phosphorus',\n",
+       "       'QA_TDP_Phosphorus', 'QA_Other_Phosphorus', 'QA_Chlorophyll', 'QA_pH'],\n",
        "      dtype='object')"
       ]
      },
@@ -9013,10 +9015,10 @@
    "execution_count": 90,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:39.187836Z",
-     "iopub.status.busy": "2024-09-05T03:59:39.187550Z",
-     "iopub.status.idle": "2024-09-05T03:59:39.199198Z",
-     "shell.execute_reply": "2024-09-05T03:59:39.198649Z"
+     "iopub.execute_input": "2024-11-05T03:44:20.203496Z",
+     "iopub.status.busy": "2024-11-05T03:44:20.203195Z",
+     "iopub.status.idle": "2024-11-05T03:44:20.215677Z",
+     "shell.execute_reply": "2024-11-05T03:44:20.215250Z"
     }
    },
    "outputs": [
@@ -9052,31 +9054,31 @@
        "      <th>pH</th>\n",
        "      <th>Salinity</th>\n",
        "      <th>...</th>\n",
-       "      <th>QA_pH</th>\n",
-       "      <th>QA_Temperature</th>\n",
-       "      <th>QA_E_coli</th>\n",
-       "      <th>QA_Salinity</th>\n",
-       "      <th>QA_Nitrogen</th>\n",
-       "      <th>QA_Conductivity</th>\n",
-       "      <th>QA_Fecal_Coliform</th>\n",
        "      <th>QA_DO</th>\n",
+       "      <th>QA_Nitrogen</th>\n",
+       "      <th>QA_Secchi</th>\n",
        "      <th>QA_Carbon</th>\n",
-       "      <th>QA_Turbidity</th>\n",
+       "      <th>QA_Conductivity</th>\n",
+       "      <th>QA_TP_Phosphorus</th>\n",
+       "      <th>QA_TDP_Phosphorus</th>\n",
+       "      <th>QA_Other_Phosphorus</th>\n",
+       "      <th>QA_Chlorophyll</th>\n",
+       "      <th>QA_pH</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>580144</th>\n",
+       "      <th>878088</th>\n",
        "      <td>NARS_WQX</td>\n",
        "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
-       "      <td>NARS_WQX-PRF:0161:1:070815:2</td>\n",
-       "      <td>NARS_WQX-NLA06608-0161</td>\n",
+       "      <td>NARS_WQX-192970_2021</td>\n",
+       "      <td>NARS_WQX-NWC_FL-10535</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.379 dimensionless</td>\n",
+       "      <td>12.242 dimensionless</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -9090,10 +9092,10 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>581124</th>\n",
+       "      <th>580144</th>\n",
        "      <td>NARS_WQX</td>\n",
        "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
-       "      <td>NARS_WQX-PRF:0161:1:070815:3.3</td>\n",
+       "      <td>NARS_WQX-PRF:0161:1:070815:2</td>\n",
        "      <td>NARS_WQX-NLA06608-0161</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
@@ -9114,10 +9116,10 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>583254</th>\n",
+       "      <th>581124</th>\n",
        "      <td>NARS_WQX</td>\n",
        "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
-       "      <td>NARS_WQX-PRF:0161:1:070815:3</td>\n",
+       "      <td>NARS_WQX-PRF:0161:1:070815:3.3</td>\n",
        "      <td>NARS_WQX-NLA06608-0161</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
@@ -9138,10 +9140,10 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>577362</th>\n",
+       "      <th>583254</th>\n",
        "      <td>NARS_WQX</td>\n",
        "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
-       "      <td>NARS_WQX-PRF:0161:1:070815:1</td>\n",
+       "      <td>NARS_WQX-PRF:0161:1:070815:3</td>\n",
        "      <td>NARS_WQX-NLA06608-0161</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
@@ -9162,10 +9164,10 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>588592</th>\n",
+       "      <th>577362</th>\n",
        "      <td>NARS_WQX</td>\n",
        "      <td>EPA National Aquatic Resources Survey (NARS)</td>\n",
-       "      <td>NARS_WQX-PRF:0161:1:070815:0</td>\n",
+       "      <td>NARS_WQX-PRF:0161:1:070815:1</td>\n",
        "      <td>NARS_WQX-NLA06608-0161</td>\n",
        "      <td>STORET</td>\n",
        "      <td>NaN</td>\n",
@@ -9192,39 +9194,39 @@
       ],
       "text/plain": [
        "       OrganizationIdentifier                        OrganizationFormalName  \\\n",
+       "878088               NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
        "580144               NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
        "581124               NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
        "583254               NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
        "577362               NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
-       "588592               NARS_WQX  EPA National Aquatic Resources Survey (NARS)   \n",
        "\n",
        "                    ActivityIdentifier MonitoringLocationIdentifier  \\\n",
+       "878088            NARS_WQX-192970_2021        NARS_WQX-NWC_FL-10535   \n",
        "580144    NARS_WQX-PRF:0161:1:070815:2       NARS_WQX-NLA06608-0161   \n",
        "581124  NARS_WQX-PRF:0161:1:070815:3.3       NARS_WQX-NLA06608-0161   \n",
        "583254    NARS_WQX-PRF:0161:1:070815:3       NARS_WQX-NLA06608-0161   \n",
        "577362    NARS_WQX-PRF:0161:1:070815:1       NARS_WQX-NLA06608-0161   \n",
-       "588592    NARS_WQX-PRF:0161:1:070815:0       NARS_WQX-NLA06608-0161   \n",
-       "\n",
-       "       ProviderName Secchi Temperature   DO   pH             Salinity  ...  \\\n",
-       "580144       STORET    NaN         NaN  NaN  NaN  0.379 dimensionless  ...   \n",
-       "581124       STORET    NaN         NaN  NaN  NaN  0.379 dimensionless  ...   \n",
-       "583254       STORET    NaN         NaN  NaN  NaN  0.379 dimensionless  ...   \n",
-       "577362       STORET    NaN         NaN  NaN  NaN  0.379 dimensionless  ...   \n",
-       "588592       STORET    NaN         NaN  NaN  NaN  0.379 dimensionless  ...   \n",
-       "\n",
-       "       QA_pH QA_Temperature QA_E_coli QA_Salinity QA_Nitrogen QA_Conductivity  \\\n",
-       "580144   NaN            NaN       NaN         NaN         NaN             NaN   \n",
-       "581124   NaN            NaN       NaN         NaN         NaN             NaN   \n",
-       "583254   NaN            NaN       NaN         NaN         NaN             NaN   \n",
-       "577362   NaN            NaN       NaN         NaN         NaN             NaN   \n",
-       "588592   NaN            NaN       NaN         NaN         NaN             NaN   \n",
-       "\n",
-       "       QA_Fecal_Coliform QA_DO QA_Carbon QA_Turbidity  \n",
-       "580144               NaN   NaN       NaN          NaN  \n",
-       "581124               NaN   NaN       NaN          NaN  \n",
-       "583254               NaN   NaN       NaN          NaN  \n",
-       "577362               NaN   NaN       NaN          NaN  \n",
-       "588592               NaN   NaN       NaN          NaN  \n",
+       "\n",
+       "       ProviderName Secchi Temperature   DO   pH              Salinity  ...  \\\n",
+       "878088       STORET    NaN         NaN  NaN  NaN  12.242 dimensionless  ...   \n",
+       "580144       STORET    NaN         NaN  NaN  NaN   0.379 dimensionless  ...   \n",
+       "581124       STORET    NaN         NaN  NaN  NaN   0.379 dimensionless  ...   \n",
+       "583254       STORET    NaN         NaN  NaN  NaN   0.379 dimensionless  ...   \n",
+       "577362       STORET    NaN         NaN  NaN  NaN   0.379 dimensionless  ...   \n",
+       "\n",
+       "       QA_DO QA_Nitrogen QA_Secchi QA_Carbon QA_Conductivity QA_TP_Phosphorus  \\\n",
+       "878088   NaN         NaN       NaN       NaN             NaN              NaN   \n",
+       "580144   NaN         NaN       NaN       NaN             NaN              NaN   \n",
+       "581124   NaN         NaN       NaN       NaN             NaN              NaN   \n",
+       "583254   NaN         NaN       NaN       NaN             NaN              NaN   \n",
+       "577362   NaN         NaN       NaN       NaN             NaN              NaN   \n",
+       "\n",
+       "       QA_TDP_Phosphorus QA_Other_Phosphorus QA_Chlorophyll QA_pH  \n",
+       "878088               NaN                 NaN            NaN   NaN  \n",
+       "580144               NaN                 NaN            NaN   NaN  \n",
+       "581124               NaN                 NaN            NaN   NaN  \n",
+       "583254               NaN                 NaN            NaN   NaN  \n",
+       "577362               NaN                 NaN            NaN   NaN  \n",
        "\n",
        "[5 rows x 44 columns]"
       ]
@@ -9244,10 +9246,10 @@
    "execution_count": 91,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:39.201203Z",
-     "iopub.status.busy": "2024-09-05T03:59:39.200886Z",
-     "iopub.status.idle": "2024-09-05T03:59:45.192072Z",
-     "shell.execute_reply": "2024-09-05T03:59:45.191555Z"
+     "iopub.execute_input": "2024-11-05T03:44:20.217343Z",
+     "iopub.status.busy": "2024-11-05T03:44:20.217021Z",
+     "iopub.status.idle": "2024-11-05T03:44:26.016195Z",
+     "shell.execute_reply": "2024-11-05T03:44:26.015666Z"
     }
    },
    "outputs": [
@@ -9255,17 +9257,17 @@
      "data": {
       "text/plain": [
        "['Sediment',\n",
-       " 'QA_TDP_Phosphorus',\n",
-       " 'QA_Other_Phosphorus',\n",
-       " 'QA_pH',\n",
-       " 'QA_Temperature',\n",
-       " 'QA_E_coli',\n",
        " 'QA_Salinity',\n",
-       " 'QA_Nitrogen',\n",
-       " 'QA_Conductivity',\n",
+       " 'QA_Turbidity',\n",
+       " 'QA_E_coli',\n",
+       " 'QA_Temperature',\n",
        " 'QA_DO',\n",
+       " 'QA_Nitrogen',\n",
        " 'QA_Carbon',\n",
-       " 'QA_Turbidity']"
+       " 'QA_Conductivity',\n",
+       " 'QA_TDP_Phosphorus',\n",
+       " 'QA_Other_Phosphorus',\n",
+       " 'QA_pH']"
       ]
      },
      "execution_count": 91,
@@ -9285,10 +9287,10 @@
    "execution_count": 92,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:45.194200Z",
-     "iopub.status.busy": "2024-09-05T03:59:45.193858Z",
-     "iopub.status.idle": "2024-09-05T03:59:46.504816Z",
-     "shell.execute_reply": "2024-09-05T03:59:46.504314Z"
+     "iopub.execute_input": "2024-11-05T03:44:26.017886Z",
+     "iopub.status.busy": "2024-11-05T03:44:26.017720Z",
+     "iopub.status.idle": "2024-11-05T03:44:27.321759Z",
+     "shell.execute_reply": "2024-11-05T03:44:27.321260Z"
     }
    },
    "outputs": [
@@ -9304,7 +9306,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -9340,7 +9342,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/demos/Harmonize_Tampa_Simple.ipynb b/demos/Harmonize_Tampa_Simple.ipynb
index bd9d10e..8570306 100644
--- a/demos/Harmonize_Tampa_Simple.ipynb
+++ b/demos/Harmonize_Tampa_Simple.ipynb
@@ -58,10 +58,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:50.740105Z",
-     "iopub.status.busy": "2024-09-05T03:59:50.739938Z",
-     "iopub.status.idle": "2024-09-05T03:59:50.745390Z",
-     "shell.execute_reply": "2024-09-05T03:59:50.744867Z"
+     "iopub.execute_input": "2024-11-05T03:44:31.679897Z",
+     "iopub.status.busy": "2024-11-05T03:44:31.679728Z",
+     "iopub.status.idle": "2024-11-05T03:44:31.685231Z",
+     "shell.execute_reply": "2024-11-05T03:44:31.684818Z"
     },
     "hidden": true
    },
@@ -89,10 +89,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:50.747470Z",
-     "iopub.status.busy": "2024-09-05T03:59:50.747152Z",
-     "iopub.status.idle": "2024-09-05T03:59:51.366466Z",
-     "shell.execute_reply": "2024-09-05T03:59:51.365888Z"
+     "iopub.execute_input": "2024-11-05T03:44:31.687034Z",
+     "iopub.status.busy": "2024-11-05T03:44:31.686711Z",
+     "iopub.status.idle": "2024-11-05T03:44:32.301973Z",
+     "shell.execute_reply": "2024-11-05T03:44:32.301391Z"
     }
    },
    "outputs": [
@@ -100,7 +100,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n",
       "  warnings.warn('GDAL not installed. Some functions will not work.')\n"
      ]
     }
@@ -114,10 +114,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:51.400673Z",
-     "iopub.status.busy": "2024-09-05T03:59:51.399974Z",
-     "iopub.status.idle": "2024-09-05T03:59:51.403053Z",
-     "shell.execute_reply": "2024-09-05T03:59:51.402496Z"
+     "iopub.execute_input": "2024-11-05T03:44:32.335996Z",
+     "iopub.status.busy": "2024-11-05T03:44:32.335300Z",
+     "iopub.status.idle": "2024-11-05T03:44:32.338576Z",
+     "shell.execute_reply": "2024-11-05T03:44:32.337988Z"
     },
     "hidden": true
    },
@@ -133,10 +133,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:51.405115Z",
-     "iopub.status.busy": "2024-09-05T03:59:51.404948Z",
-     "iopub.status.idle": "2024-09-05T03:59:52.900804Z",
-     "shell.execute_reply": "2024-09-05T03:59:52.900198Z"
+     "iopub.execute_input": "2024-11-05T03:44:32.340417Z",
+     "iopub.status.busy": "2024-11-05T03:44:32.340003Z",
+     "iopub.status.idle": "2024-11-05T03:44:33.756748Z",
+     "shell.execute_reply": "2024-11-05T03:44:33.756167Z"
     }
    },
    "outputs": [
@@ -174,10 +174,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:52.903969Z",
-     "iopub.status.busy": "2024-09-05T03:59:52.903300Z",
-     "iopub.status.idle": "2024-09-05T03:59:52.908026Z",
-     "shell.execute_reply": "2024-09-05T03:59:52.907522Z"
+     "iopub.execute_input": "2024-11-05T03:44:33.759224Z",
+     "iopub.status.busy": "2024-11-05T03:44:33.758595Z",
+     "iopub.status.idle": "2024-11-05T03:44:33.763134Z",
+     "shell.execute_reply": "2024-11-05T03:44:33.762622Z"
     },
     "hidden": true
    },
@@ -225,10 +225,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:52.910430Z",
-     "iopub.status.busy": "2024-09-05T03:59:52.910056Z",
-     "iopub.status.idle": "2024-09-05T03:59:52.912899Z",
-     "shell.execute_reply": "2024-09-05T03:59:52.912398Z"
+     "iopub.execute_input": "2024-11-05T03:44:33.765171Z",
+     "iopub.status.busy": "2024-11-05T03:44:33.764795Z",
+     "iopub.status.idle": "2024-11-05T03:44:33.767568Z",
+     "shell.execute_reply": "2024-11-05T03:44:33.767080Z"
     }
    },
    "outputs": [],
@@ -241,10 +241,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T03:59:52.915172Z",
-     "iopub.status.busy": "2024-09-05T03:59:52.914804Z",
-     "iopub.status.idle": "2024-09-05T04:00:02.521550Z",
-     "shell.execute_reply": "2024-09-05T04:00:02.520986Z"
+     "iopub.execute_input": "2024-11-05T03:44:33.769454Z",
+     "iopub.status.busy": "2024-11-05T03:44:33.769079Z",
+     "iopub.status.idle": "2024-11-05T03:44:43.371951Z",
+     "shell.execute_reply": "2024-11-05T03:44:43.371463Z"
     },
     "hidden": true
    },
@@ -253,7 +253,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (9,10,13,15,17,19,22,23,28,31,32,33,36,38,58,60,61,63,64,65,70,71,73) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (9,10,13,15,17,19,22,23,28,31,32,33,36,38,56,57,58,60,61,62,63,64,65,70,71,73) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  df = pd.read_csv(StringIO(response.text), delimiter=',')\n"
      ]
     }
@@ -270,10 +270,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:00:02.524231Z",
-     "iopub.status.busy": "2024-09-05T04:00:02.523848Z",
-     "iopub.status.idle": "2024-09-05T04:00:03.184005Z",
-     "shell.execute_reply": "2024-09-05T04:00:03.183366Z"
+     "iopub.execute_input": "2024-11-05T03:44:43.374028Z",
+     "iopub.status.busy": "2024-11-05T03:44:43.373635Z",
+     "iopub.status.idle": "2024-11-05T03:44:43.988666Z",
+     "shell.execute_reply": "2024-11-05T03:44:43.988065Z"
     },
     "hidden": true
    },
@@ -468,7 +468,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465643</th>\n",
+       "      <th>1469163</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500762</td>\n",
@@ -492,7 +492,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465644</th>\n",
+       "      <th>1469164</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500762</td>\n",
@@ -516,7 +516,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465645</th>\n",
+       "      <th>1469165</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95800924</td>\n",
@@ -540,7 +540,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465646</th>\n",
+       "      <th>1469166</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500782</td>\n",
@@ -564,7 +564,7 @@
        "      <td>NWIS</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465647</th>\n",
+       "      <th>1469167</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500782</td>\n",
@@ -589,7 +589,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1465648 rows × 78 columns</p>\n",
+       "<p>1469168 rows × 78 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -600,11 +600,11 @@
        "3                 21FLHILL_WQX   \n",
        "4                 21FLHILL_WQX   \n",
        "...                        ...   \n",
-       "1465643                USGS-FL   \n",
-       "1465644                USGS-FL   \n",
-       "1465645                USGS-FL   \n",
-       "1465646                USGS-FL   \n",
-       "1465647                USGS-FL   \n",
+       "1469163                USGS-FL   \n",
+       "1469164                USGS-FL   \n",
+       "1469165                USGS-FL   \n",
+       "1469166                USGS-FL   \n",
+       "1469167                USGS-FL   \n",
        "\n",
        "                                    OrganizationFormalName  \\\n",
        "0        Environmental Protection Commission of Hillsbo...   \n",
@@ -613,11 +613,11 @@
        "3        Environmental Protection Commission of Hillsbo...   \n",
        "4        Environmental Protection Commission of Hillsbo...   \n",
        "...                                                    ...   \n",
-       "1465643                  USGS Florida Water Science Center   \n",
-       "1465644                  USGS Florida Water Science Center   \n",
-       "1465645                  USGS Florida Water Science Center   \n",
-       "1465646                  USGS Florida Water Science Center   \n",
-       "1465647                  USGS Florida Water Science Center   \n",
+       "1469163                  USGS Florida Water Science Center   \n",
+       "1469164                  USGS Florida Water Science Center   \n",
+       "1469165                  USGS Florida Water Science Center   \n",
+       "1469166                  USGS Florida Water Science Center   \n",
+       "1469167                  USGS Florida Water Science Center   \n",
        "\n",
        "                ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
        "0         21FLHILL_WQX-130612585-W        2013-06-12               11:01:00   \n",
@@ -626,11 +626,11 @@
        "3           21FLHILL_WQX-130716021        2013-07-16               11:01:00   \n",
        "4         21FLHILL_WQX-131216112-M        2013-12-16               12:01:00   \n",
        "...                            ...               ...                    ...   \n",
-       "1465643         nwisfl.01.95500762        1955-04-08                    NaN   \n",
-       "1465644         nwisfl.01.95500762        1955-04-08                    NaN   \n",
-       "1465645         nwisfl.01.95800924        1957-10-21               14:05:00   \n",
-       "1465646         nwisfl.01.95500782        1955-04-08                    NaN   \n",
-       "1465647         nwisfl.01.95500782        1955-04-08                    NaN   \n",
+       "1469163         nwisfl.01.95500762        1955-04-08                    NaN   \n",
+       "1469164         nwisfl.01.95500762        1955-04-08                    NaN   \n",
+       "1469165         nwisfl.01.95800924        1957-10-21               14:05:00   \n",
+       "1469166         nwisfl.01.95500782        1955-04-08                    NaN   \n",
+       "1469167         nwisfl.01.95500782        1955-04-08                    NaN   \n",
        "\n",
        "        ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier  \\\n",
        "0                                  EST             21FLHILL_WQX-585   \n",
@@ -639,11 +639,11 @@
        "3                                  EST             21FLHILL_WQX-021   \n",
        "4                                  EST             21FLHILL_WQX-112   \n",
        "...                                ...                          ...   \n",
-       "1465643                            NaN         USGS-273926082304501   \n",
-       "1465644                            NaN         USGS-273926082304501   \n",
-       "1465645                            EST                USGS-02306001   \n",
-       "1465646                            NaN         USGS-274455082253601   \n",
-       "1465647                            NaN         USGS-274455082253601   \n",
+       "1469163                            NaN         USGS-273926082304501   \n",
+       "1469164                            NaN         USGS-273926082304501   \n",
+       "1469165                            EST                USGS-02306001   \n",
+       "1469166                            NaN         USGS-274455082253601   \n",
+       "1469167                            NaN         USGS-274455082253601   \n",
        "\n",
        "         ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
        "0        STORET-301235413             NaN                          NaN  ...   \n",
@@ -652,11 +652,11 @@
        "3        STORET-300666279             NaN                          NaN  ...   \n",
        "4        STORET-301229196             NaN                          NaN  ...   \n",
        "...                   ...             ...                          ...  ...   \n",
-       "1465643      NWIS-6842541             NaN                          NaN  ...   \n",
-       "1465644      NWIS-6842544             NaN                          NaN  ...   \n",
-       "1465645      NWIS-6894410             NaN                          NaN  ...   \n",
-       "1465646      NWIS-6842941             NaN                          NaN  ...   \n",
-       "1465647      NWIS-6842944             NaN                          NaN  ...   \n",
+       "1469163      NWIS-6842541             NaN                          NaN  ...   \n",
+       "1469164      NWIS-6842544             NaN                          NaN  ...   \n",
+       "1469165      NWIS-6894410             NaN                          NaN  ...   \n",
+       "1469166      NWIS-6842941             NaN                          NaN  ...   \n",
+       "1469167      NWIS-6842944             NaN                          NaN  ...   \n",
        "\n",
        "        AnalysisEndTime/TimeZoneCode ResultLaboratoryCommentCode  \\\n",
        "0                                NaN                         NaN   \n",
@@ -665,11 +665,11 @@
        "3                                NaN                         NaN   \n",
        "4                                NaN                         NaN   \n",
        "...                              ...                         ...   \n",
-       "1465643                          NaN                         NaN   \n",
-       "1465644                          NaN                         NaN   \n",
-       "1465645                          NaN                         NaN   \n",
-       "1465646                          NaN                         NaN   \n",
-       "1465647                          NaN                         NaN   \n",
+       "1469163                          NaN                         NaN   \n",
+       "1469164                          NaN                         NaN   \n",
+       "1469165                          NaN                         NaN   \n",
+       "1469166                          NaN                         NaN   \n",
+       "1469167                          NaN                         NaN   \n",
        "\n",
        "        ResultLaboratoryCommentText  \\\n",
        "0                               NaN   \n",
@@ -678,11 +678,11 @@
        "3                               NaN   \n",
        "4                               NaN   \n",
        "...                             ...   \n",
-       "1465643                         NaN   \n",
-       "1465644                         NaN   \n",
-       "1465645                         NaN   \n",
-       "1465646                         NaN   \n",
-       "1465647                         NaN   \n",
+       "1469163                         NaN   \n",
+       "1469164                         NaN   \n",
+       "1469165                         NaN   \n",
+       "1469166                         NaN   \n",
+       "1469167                         NaN   \n",
        "\n",
        "                       ResultDetectionQuantitationLimitUrl  \\\n",
        "0                                                      NaN   \n",
@@ -691,11 +691,11 @@
        "3        https://www.waterqualitydata.us/data/providers...   \n",
        "4                                                      NaN   \n",
        "...                                                    ...   \n",
-       "1465643                                                NaN   \n",
-       "1465644                                                NaN   \n",
-       "1465645                                                NaN   \n",
-       "1465646                                                NaN   \n",
-       "1465647                                                NaN   \n",
+       "1469163                                                NaN   \n",
+       "1469164                                                NaN   \n",
+       "1469165                                                NaN   \n",
+       "1469166                                                NaN   \n",
+       "1469167                                                NaN   \n",
        "\n",
        "        LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName  \\\n",
        "0                                    NaN                                  NaN   \n",
@@ -704,11 +704,11 @@
        "3                                    NaN                                  NaN   \n",
        "4                                    NaN                                  NaN   \n",
        "...                                  ...                                  ...   \n",
-       "1465643                              NaN                                  NaN   \n",
-       "1465644                              NaN                                  NaN   \n",
-       "1465645                              NaN                                  NaN   \n",
-       "1465646                              NaN                                  NaN   \n",
-       "1465647                              NaN                                  NaN   \n",
+       "1469163                              NaN                                  NaN   \n",
+       "1469164                              NaN                                  NaN   \n",
+       "1469165                              NaN                                  NaN   \n",
+       "1469166                              NaN                                  NaN   \n",
+       "1469167                              NaN                                  NaN   \n",
        "\n",
        "        TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName  \\\n",
        "0                                    NaN                                  NaN   \n",
@@ -717,11 +717,11 @@
        "3                                    NaN                                  NaN   \n",
        "4                                    NaN                                  NaN   \n",
        "...                                  ...                                  ...   \n",
-       "1465643                              NaN                                  NaN   \n",
-       "1465644                              NaN                                  NaN   \n",
-       "1465645                              NaN                                  NaN   \n",
-       "1465646                              NaN                                  NaN   \n",
-       "1465647                              NaN                                  NaN   \n",
+       "1469163                              NaN                                  NaN   \n",
+       "1469164                              NaN                                  NaN   \n",
+       "1469165                              NaN                                  NaN   \n",
+       "1469166                              NaN                                  NaN   \n",
+       "1469167                              NaN                                  NaN   \n",
        "\n",
        "        LabSamplePreparationUrl ProviderName  \n",
        "0                           NaN       STORET  \n",
@@ -730,13 +730,13 @@
        "3                           NaN       STORET  \n",
        "4                           NaN       STORET  \n",
        "...                         ...          ...  \n",
-       "1465643                     NaN         NWIS  \n",
-       "1465644                     NaN         NWIS  \n",
-       "1465645                     NaN         NWIS  \n",
-       "1465646                     NaN         NWIS  \n",
-       "1465647                     NaN         NWIS  \n",
+       "1469163                     NaN         NWIS  \n",
+       "1469164                     NaN         NWIS  \n",
+       "1469165                     NaN         NWIS  \n",
+       "1469166                     NaN         NWIS  \n",
+       "1469167                     NaN         NWIS  \n",
        "\n",
-       "[1465648 rows x 78 columns]"
+       "[1469168 rows x 78 columns]"
       ]
      },
      "execution_count": 8,
@@ -764,10 +764,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:00:03.186446Z",
-     "iopub.status.busy": "2024-09-05T04:00:03.186072Z",
-     "iopub.status.idle": "2024-09-05T04:00:03.189328Z",
-     "shell.execute_reply": "2024-09-05T04:00:03.188865Z"
+     "iopub.execute_input": "2024-11-05T03:44:43.990664Z",
+     "iopub.status.busy": "2024-11-05T03:44:43.990329Z",
+     "iopub.status.idle": "2024-11-05T03:44:43.993561Z",
+     "shell.execute_reply": "2024-11-05T03:44:43.993032Z"
     }
    },
    "outputs": [],
@@ -782,10 +782,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:00:03.191419Z",
-     "iopub.status.busy": "2024-09-05T04:00:03.191084Z",
-     "iopub.status.idle": "2024-09-05T04:02:44.820596Z",
-     "shell.execute_reply": "2024-09-05T04:02:44.820071Z"
+     "iopub.execute_input": "2024-11-05T03:44:43.995249Z",
+     "iopub.status.busy": "2024-11-05T03:44:43.995052Z",
+     "iopub.status.idle": "2024-11-05T03:47:24.871330Z",
+     "shell.execute_reply": "2024-11-05T03:47:24.870760Z"
     },
     "hidden": true
    },
@@ -794,7 +794,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n",
       "  warn(\"WARNING: \" + problem)\n"
      ]
     },
@@ -802,11 +802,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -814,11 +814,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
-      "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n",
+      "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n",
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n",
       "  warn(f\"WARNING: '{unit}' converted to NaN\")\n"
      ]
     },
@@ -1026,7 +1032,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465643</th>\n",
+       "      <th>1469163</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500762</td>\n",
@@ -1050,7 +1056,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465644</th>\n",
+       "      <th>1469164</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500762</td>\n",
@@ -1074,7 +1080,7 @@
        "      <td>7.8 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465645</th>\n",
+       "      <th>1469165</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95800924</td>\n",
@@ -1098,7 +1104,7 @@
        "      <td>7.7 dimensionless</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465646</th>\n",
+       "      <th>1469166</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500782</td>\n",
@@ -1122,7 +1128,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465647</th>\n",
+       "      <th>1469167</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500782</td>\n",
@@ -1147,7 +1153,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1465648 rows × 97 columns</p>\n",
+       "<p>1469168 rows × 97 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1158,11 +1164,11 @@
        "3                 21FLHILL_WQX   \n",
        "4                 21FLHILL_WQX   \n",
        "...                        ...   \n",
-       "1465643                USGS-FL   \n",
-       "1465644                USGS-FL   \n",
-       "1465645                USGS-FL   \n",
-       "1465646                USGS-FL   \n",
-       "1465647                USGS-FL   \n",
+       "1469163                USGS-FL   \n",
+       "1469164                USGS-FL   \n",
+       "1469165                USGS-FL   \n",
+       "1469166                USGS-FL   \n",
+       "1469167                USGS-FL   \n",
        "\n",
        "                                    OrganizationFormalName  \\\n",
        "0        Environmental Protection Commission of Hillsbo...   \n",
@@ -1171,11 +1177,11 @@
        "3        Environmental Protection Commission of Hillsbo...   \n",
        "4        Environmental Protection Commission of Hillsbo...   \n",
        "...                                                    ...   \n",
-       "1465643                  USGS Florida Water Science Center   \n",
-       "1465644                  USGS Florida Water Science Center   \n",
-       "1465645                  USGS Florida Water Science Center   \n",
-       "1465646                  USGS Florida Water Science Center   \n",
-       "1465647                  USGS Florida Water Science Center   \n",
+       "1469163                  USGS Florida Water Science Center   \n",
+       "1469164                  USGS Florida Water Science Center   \n",
+       "1469165                  USGS Florida Water Science Center   \n",
+       "1469166                  USGS Florida Water Science Center   \n",
+       "1469167                  USGS Florida Water Science Center   \n",
        "\n",
        "                ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
        "0         21FLHILL_WQX-130612585-W        2013-06-12               11:01:00   \n",
@@ -1184,11 +1190,11 @@
        "3           21FLHILL_WQX-130716021        2013-07-16               11:01:00   \n",
        "4         21FLHILL_WQX-131216112-M        2013-12-16               12:01:00   \n",
        "...                            ...               ...                    ...   \n",
-       "1465643         nwisfl.01.95500762        1955-04-08                    NaN   \n",
-       "1465644         nwisfl.01.95500762        1955-04-08                    NaN   \n",
-       "1465645         nwisfl.01.95800924        1957-10-21               14:05:00   \n",
-       "1465646         nwisfl.01.95500782        1955-04-08                    NaN   \n",
-       "1465647         nwisfl.01.95500782        1955-04-08                    NaN   \n",
+       "1469163         nwisfl.01.95500762        1955-04-08                    NaN   \n",
+       "1469164         nwisfl.01.95500762        1955-04-08                    NaN   \n",
+       "1469165         nwisfl.01.95800924        1957-10-21               14:05:00   \n",
+       "1469166         nwisfl.01.95500782        1955-04-08                    NaN   \n",
+       "1469167         nwisfl.01.95500782        1955-04-08                    NaN   \n",
        "\n",
        "        ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier  \\\n",
        "0                                  EST             21FLHILL_WQX-585   \n",
@@ -1197,11 +1203,11 @@
        "3                                  EST             21FLHILL_WQX-021   \n",
        "4                                  EST             21FLHILL_WQX-112   \n",
        "...                                ...                          ...   \n",
-       "1465643                            NaN         USGS-273926082304501   \n",
-       "1465644                            NaN         USGS-273926082304501   \n",
-       "1465645                            EST                USGS-02306001   \n",
-       "1465646                            NaN         USGS-274455082253601   \n",
-       "1465647                            NaN         USGS-274455082253601   \n",
+       "1469163                            NaN         USGS-273926082304501   \n",
+       "1469164                            NaN         USGS-273926082304501   \n",
+       "1469165                            EST                USGS-02306001   \n",
+       "1469166                            NaN         USGS-274455082253601   \n",
+       "1469167                            NaN         USGS-274455082253601   \n",
        "\n",
        "         ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
        "0        STORET-301235413             NaN                          NaN  ...   \n",
@@ -1210,11 +1216,11 @@
        "3        STORET-300666279             NaN                          NaN  ...   \n",
        "4        STORET-301229196             NaN                          NaN  ...   \n",
        "...                   ...             ...                          ...  ...   \n",
-       "1465643      NWIS-6842541             NaN                          NaN  ...   \n",
-       "1465644      NWIS-6842544             NaN                          NaN  ...   \n",
-       "1465645      NWIS-6894410             NaN                          NaN  ...   \n",
-       "1465646      NWIS-6842941             NaN                          NaN  ...   \n",
-       "1465647      NWIS-6842944             NaN                          NaN  ...   \n",
+       "1469163      NWIS-6842541             NaN                          NaN  ...   \n",
+       "1469164      NWIS-6842544             NaN                          NaN  ...   \n",
+       "1469165      NWIS-6894410             NaN                          NaN  ...   \n",
+       "1469166      NWIS-6842941             NaN                          NaN  ...   \n",
+       "1469167      NWIS-6842944             NaN                          NaN  ...   \n",
        "\n",
        "        TOTAL NITROGEN_ MIXED FORMS                 Carbon Phosphorus  \\\n",
        "0                               NaN                    NaN        NaN   \n",
@@ -1223,11 +1229,11 @@
        "3                               NaN  3.8 milligram / liter        NaN   \n",
        "4                               NaN                    NaN        NaN   \n",
        "...                             ...                    ...        ...   \n",
-       "1465643                         NaN                    NaN        NaN   \n",
-       "1465644                         NaN                    NaN        NaN   \n",
-       "1465645                         NaN                    NaN        NaN   \n",
-       "1465646                         NaN                    NaN        NaN   \n",
-       "1465647                         NaN                    NaN        NaN   \n",
+       "1469163                         NaN                    NaN        NaN   \n",
+       "1469164                         NaN                    NaN        NaN   \n",
+       "1469165                         NaN                    NaN        NaN   \n",
+       "1469166                         NaN                    NaN        NaN   \n",
+       "1469167                         NaN                    NaN        NaN   \n",
        "\n",
        "        TP_Phosphorus TDP_Phosphorus Other_Phosphorus  \\\n",
        "0                 NaN            NaN              NaN   \n",
@@ -1236,11 +1242,11 @@
        "3                 NaN            NaN              NaN   \n",
        "4                 NaN            NaN              NaN   \n",
        "...               ...            ...              ...   \n",
-       "1465643           NaN            NaN              NaN   \n",
-       "1465644           NaN            NaN              NaN   \n",
-       "1465645           NaN            NaN              NaN   \n",
-       "1465646           NaN            NaN              NaN   \n",
-       "1465647           NaN            NaN              NaN   \n",
+       "1469163           NaN            NaN              NaN   \n",
+       "1469164           NaN            NaN              NaN   \n",
+       "1469165           NaN            NaN              NaN   \n",
+       "1469166           NaN            NaN              NaN   \n",
+       "1469167           NaN            NaN              NaN   \n",
        "\n",
        "                              Salinity           Temperature Turbidity  \\\n",
        "0                                  NaN                   NaN       NaN   \n",
@@ -1249,11 +1255,11 @@
        "3                                  NaN                   NaN       NaN   \n",
        "4                                  NaN                   NaN       NaN   \n",
        "...                                ...                   ...       ...   \n",
-       "1465643                            NaN   25.7 degree_Celsius       NaN   \n",
-       "1465644                            NaN                   NaN       NaN   \n",
-       "1465645                            NaN                   NaN       NaN   \n",
-       "1465646                            NaN   26.1 degree_Celsius       NaN   \n",
-       "1465647                            NaN                   NaN       NaN   \n",
+       "1469163                            NaN   25.7 degree_Celsius       NaN   \n",
+       "1469164                            NaN                   NaN       NaN   \n",
+       "1469165                            NaN                   NaN       NaN   \n",
+       "1469166                            NaN   26.1 degree_Celsius       NaN   \n",
+       "1469167                            NaN                   NaN       NaN   \n",
        "\n",
        "                         pH  \n",
        "0                       NaN  \n",
@@ -1262,13 +1268,13 @@
        "3                       NaN  \n",
        "4        7.48 dimensionless  \n",
        "...                     ...  \n",
-       "1465643                 NaN  \n",
-       "1465644   7.8 dimensionless  \n",
-       "1465645   7.7 dimensionless  \n",
-       "1465646                 NaN  \n",
-       "1465647   7.6 dimensionless  \n",
+       "1469163                 NaN  \n",
+       "1469164   7.8 dimensionless  \n",
+       "1469165   7.7 dimensionless  \n",
+       "1469166                 NaN  \n",
+       "1469167   7.6 dimensionless  \n",
        "\n",
-       "[1465648 rows x 97 columns]"
+       "[1469168 rows x 97 columns]"
       ]
      },
      "execution_count": 10,
@@ -1289,10 +1295,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:02:44.823180Z",
-     "iopub.status.busy": "2024-09-05T04:02:44.822773Z",
-     "iopub.status.idle": "2024-09-05T04:02:45.372578Z",
-     "shell.execute_reply": "2024-09-05T04:02:45.371980Z"
+     "iopub.execute_input": "2024-11-05T03:47:24.873236Z",
+     "iopub.status.busy": "2024-11-05T03:47:24.872898Z",
+     "iopub.status.idle": "2024-11-05T03:47:25.391402Z",
+     "shell.execute_reply": "2024-11-05T03:47:25.390849Z"
     },
     "hidden": true
    },
@@ -1307,10 +1313,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:02:45.374989Z",
-     "iopub.status.busy": "2024-09-05T04:02:45.374663Z",
-     "iopub.status.idle": "2024-09-05T04:02:46.542934Z",
-     "shell.execute_reply": "2024-09-05T04:02:46.542337Z"
+     "iopub.execute_input": "2024-11-05T03:47:25.393301Z",
+     "iopub.status.busy": "2024-11-05T03:47:25.393141Z",
+     "iopub.status.idle": "2024-11-05T03:47:26.606463Z",
+     "shell.execute_reply": "2024-11-05T03:47:26.605830Z"
     },
     "hidden": true
    },
@@ -1327,7 +1333,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1348,10 +1354,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:02:46.545119Z",
-     "iopub.status.busy": "2024-09-05T04:02:46.544724Z",
-     "iopub.status.idle": "2024-09-05T04:02:49.541562Z",
-     "shell.execute_reply": "2024-09-05T04:02:49.541042Z"
+     "iopub.execute_input": "2024-11-05T03:47:26.608522Z",
+     "iopub.status.busy": "2024-11-05T03:47:26.608098Z",
+     "iopub.status.idle": "2024-11-05T03:47:29.754746Z",
+     "shell.execute_reply": "2024-11-05T03:47:29.754248Z"
     },
     "hidden": true
    },
@@ -1368,7 +1374,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -1397,10 +1403,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:02:49.543722Z",
-     "iopub.status.busy": "2024-09-05T04:02:49.543405Z",
-     "iopub.status.idle": "2024-09-05T04:02:49.546090Z",
-     "shell.execute_reply": "2024-09-05T04:02:49.545613Z"
+     "iopub.execute_input": "2024-11-05T03:47:29.756644Z",
+     "iopub.status.busy": "2024-11-05T03:47:29.756474Z",
+     "iopub.status.idle": "2024-11-05T03:47:29.758798Z",
+     "shell.execute_reply": "2024-11-05T03:47:29.758358Z"
     }
    },
    "outputs": [],
@@ -1413,10 +1419,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:02:49.547972Z",
-     "iopub.status.busy": "2024-09-05T04:02:49.547806Z",
-     "iopub.status.idle": "2024-09-05T04:03:01.381286Z",
-     "shell.execute_reply": "2024-09-05T04:03:01.380340Z"
+     "iopub.execute_input": "2024-11-05T03:47:29.760329Z",
+     "iopub.status.busy": "2024-11-05T03:47:29.760168Z",
+     "iopub.status.idle": "2024-11-05T03:47:41.763377Z",
+     "shell.execute_reply": "2024-11-05T03:47:41.762745Z"
     },
     "hidden": true
    },
@@ -1425,7 +1431,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 100662 incomplete dates found, consider setting datetime_index to False.\n",
+      "/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 100667 incomplete dates found, consider setting datetime_index to False.\n",
       "  warnings.warn(\n"
      ]
     }
@@ -1458,10 +1464,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:03:01.384928Z",
-     "iopub.status.busy": "2024-09-05T04:03:01.384642Z",
-     "iopub.status.idle": "2024-09-05T04:03:16.492043Z",
-     "shell.execute_reply": "2024-09-05T04:03:16.491451Z"
+     "iopub.execute_input": "2024-11-05T03:47:41.765505Z",
+     "iopub.status.busy": "2024-11-05T03:47:41.765331Z",
+     "iopub.status.idle": "2024-11-05T03:47:56.949935Z",
+     "shell.execute_reply": "2024-11-05T03:47:56.949383Z"
     },
     "hidden": true
    },
@@ -1498,16 +1504,16 @@
        "      <th>DataLoggerLine</th>\n",
        "      <th>ResultDetectionConditionText</th>\n",
        "      <th>...</th>\n",
+       "      <th>QA_TP_Phosphorus</th>\n",
+       "      <th>QA_TDP_Phosphorus</th>\n",
        "      <th>QA_Other_Phosphorus</th>\n",
-       "      <th>QA_pH</th>\n",
-       "      <th>QA_E_coli</th>\n",
-       "      <th>QA_Conductivity</th>\n",
        "      <th>QA_DO</th>\n",
-       "      <th>QA_Temperature</th>\n",
-       "      <th>QA_Nitrogen</th>\n",
-       "      <th>QA_Chlorophyll</th>\n",
        "      <th>QA_Salinity</th>\n",
+       "      <th>QA_Fecal_Coliform</th>\n",
+       "      <th>QA_Nitrogen</th>\n",
        "      <th>QA_Turbidity</th>\n",
+       "      <th>QA_Carbon</th>\n",
+       "      <th>QA_Temperature</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -1656,7 +1662,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465643</th>\n",
+       "      <th>1469163</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500762</td>\n",
@@ -1680,7 +1686,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465644</th>\n",
+       "      <th>1469164</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500762</td>\n",
@@ -1704,7 +1710,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465645</th>\n",
+       "      <th>1469165</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95800924</td>\n",
@@ -1728,7 +1734,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465646</th>\n",
+       "      <th>1469166</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500782</td>\n",
@@ -1752,7 +1758,7 @@
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1465647</th>\n",
+       "      <th>1469167</th>\n",
        "      <td>USGS-FL</td>\n",
        "      <td>USGS Florida Water Science Center</td>\n",
        "      <td>nwisfl.01.95500782</td>\n",
@@ -1777,7 +1783,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1396992 rows × 113 columns</p>\n",
+       "<p>1400296 rows × 113 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1788,11 +1794,11 @@
        "3                 21FLHILL_WQX   \n",
        "4                 21FLHILL_WQX   \n",
        "...                        ...   \n",
-       "1465643                USGS-FL   \n",
-       "1465644                USGS-FL   \n",
-       "1465645                USGS-FL   \n",
-       "1465646                USGS-FL   \n",
-       "1465647                USGS-FL   \n",
+       "1469163                USGS-FL   \n",
+       "1469164                USGS-FL   \n",
+       "1469165                USGS-FL   \n",
+       "1469166                USGS-FL   \n",
+       "1469167                USGS-FL   \n",
        "\n",
        "                                    OrganizationFormalName  \\\n",
        "0        Environmental Protection Commission of Hillsbo...   \n",
@@ -1801,11 +1807,11 @@
        "3        Environmental Protection Commission of Hillsbo...   \n",
        "4        Environmental Protection Commission of Hillsbo...   \n",
        "...                                                    ...   \n",
-       "1465643                  USGS Florida Water Science Center   \n",
-       "1465644                  USGS Florida Water Science Center   \n",
-       "1465645                  USGS Florida Water Science Center   \n",
-       "1465646                  USGS Florida Water Science Center   \n",
-       "1465647                  USGS Florida Water Science Center   \n",
+       "1469163                  USGS Florida Water Science Center   \n",
+       "1469164                  USGS Florida Water Science Center   \n",
+       "1469165                  USGS Florida Water Science Center   \n",
+       "1469166                  USGS Florida Water Science Center   \n",
+       "1469167                  USGS Florida Water Science Center   \n",
        "\n",
        "                ActivityIdentifier ActivityStartDate ActivityStartTime/Time  \\\n",
        "0         21FLHILL_WQX-130612585-W        2013-06-12               11:01:00   \n",
@@ -1814,11 +1820,11 @@
        "3           21FLHILL_WQX-130716021        2013-07-16               11:01:00   \n",
        "4         21FLHILL_WQX-131216112-M        2013-12-16               12:01:00   \n",
        "...                            ...               ...                    ...   \n",
-       "1465643         nwisfl.01.95500762        1955-04-08                    NaN   \n",
-       "1465644         nwisfl.01.95500762        1955-04-08                    NaN   \n",
-       "1465645         nwisfl.01.95800924        1957-10-21               14:05:00   \n",
-       "1465646         nwisfl.01.95500782        1955-04-08                    NaN   \n",
-       "1465647         nwisfl.01.95500782        1955-04-08                    NaN   \n",
+       "1469163         nwisfl.01.95500762        1955-04-08                    NaN   \n",
+       "1469164         nwisfl.01.95500762        1955-04-08                    NaN   \n",
+       "1469165         nwisfl.01.95800924        1957-10-21               14:05:00   \n",
+       "1469166         nwisfl.01.95500782        1955-04-08                    NaN   \n",
+       "1469167         nwisfl.01.95500782        1955-04-08                    NaN   \n",
        "\n",
        "        ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier  \\\n",
        "0                                -0500             21FLHILL_WQX-585   \n",
@@ -1827,11 +1833,11 @@
        "3                                -0500             21FLHILL_WQX-021   \n",
        "4                                -0500             21FLHILL_WQX-112   \n",
        "...                                ...                          ...   \n",
-       "1465643                            NaN         USGS-273926082304501   \n",
-       "1465644                            NaN         USGS-273926082304501   \n",
-       "1465645                          -0500                USGS-02306001   \n",
-       "1465646                            NaN         USGS-274455082253601   \n",
-       "1465647                            NaN         USGS-274455082253601   \n",
+       "1469163                            NaN         USGS-273926082304501   \n",
+       "1469164                            NaN         USGS-273926082304501   \n",
+       "1469165                          -0500                USGS-02306001   \n",
+       "1469166                            NaN         USGS-274455082253601   \n",
+       "1469167                            NaN         USGS-274455082253601   \n",
        "\n",
        "         ResultIdentifier  DataLoggerLine ResultDetectionConditionText  ...  \\\n",
        "0        STORET-301235413             NaN                          NaN  ...   \n",
@@ -1840,39 +1846,52 @@
        "3        STORET-300666279             NaN                          NaN  ...   \n",
        "4        STORET-301229196             NaN                          NaN  ...   \n",
        "...                   ...             ...                          ...  ...   \n",
-       "1465643      NWIS-6842541             NaN                          NaN  ...   \n",
-       "1465644      NWIS-6842544             NaN                          NaN  ...   \n",
-       "1465645      NWIS-6894410             NaN                          NaN  ...   \n",
-       "1465646      NWIS-6842941             NaN                          NaN  ...   \n",
-       "1465647      NWIS-6842944             NaN                          NaN  ...   \n",
+       "1469163      NWIS-6842541             NaN                          NaN  ...   \n",
+       "1469164      NWIS-6842544             NaN                          NaN  ...   \n",
+       "1469165      NWIS-6894410             NaN                          NaN  ...   \n",
+       "1469166      NWIS-6842941             NaN                          NaN  ...   \n",
+       "1469167      NWIS-6842944             NaN                          NaN  ...   \n",
+       "\n",
+       "        QA_TP_Phosphorus QA_TDP_Phosphorus QA_Other_Phosphorus QA_DO  \\\n",
+       "0                    NaN               NaN                 NaN   NaN   \n",
+       "1                    NaN               NaN                 NaN   NaN   \n",
+       "2                    NaN               NaN                 NaN   NaN   \n",
+       "3                    NaN               NaN                 NaN   NaN   \n",
+       "4                    NaN               NaN                 NaN   NaN   \n",
+       "...                  ...               ...                 ...   ...   \n",
+       "1469163              NaN               NaN                 NaN   NaN   \n",
+       "1469164              NaN               NaN                 NaN   NaN   \n",
+       "1469165              NaN               NaN                 NaN   NaN   \n",
+       "1469166              NaN               NaN                 NaN   NaN   \n",
+       "1469167              NaN               NaN                 NaN   NaN   \n",
        "\n",
-       "        QA_Other_Phosphorus QA_pH QA_E_coli QA_Conductivity QA_DO  \\\n",
-       "0                       NaN   NaN       NaN             NaN   NaN   \n",
-       "1                       NaN   NaN       NaN             NaN   NaN   \n",
-       "2                       NaN   NaN       NaN             NaN   NaN   \n",
-       "3                       NaN   NaN       NaN             NaN   NaN   \n",
-       "4                       NaN   NaN       NaN             NaN   NaN   \n",
-       "...                     ...   ...       ...             ...   ...   \n",
-       "1465643                 NaN   NaN       NaN             NaN   NaN   \n",
-       "1465644                 NaN   NaN       NaN             NaN   NaN   \n",
-       "1465645                 NaN   NaN       NaN             NaN   NaN   \n",
-       "1465646                 NaN   NaN       NaN             NaN   NaN   \n",
-       "1465647                 NaN   NaN       NaN             NaN   NaN   \n",
+       "        QA_Salinity QA_Fecal_Coliform QA_Nitrogen QA_Turbidity QA_Carbon  \\\n",
+       "0               NaN               NaN         NaN          NaN       NaN   \n",
+       "1               NaN               NaN         NaN          NaN       NaN   \n",
+       "2               NaN               NaN         NaN          NaN       NaN   \n",
+       "3               NaN               NaN         NaN          NaN       NaN   \n",
+       "4               NaN               NaN         NaN          NaN       NaN   \n",
+       "...             ...               ...         ...          ...       ...   \n",
+       "1469163         NaN               NaN         NaN          NaN       NaN   \n",
+       "1469164         NaN               NaN         NaN          NaN       NaN   \n",
+       "1469165         NaN               NaN         NaN          NaN       NaN   \n",
+       "1469166         NaN               NaN         NaN          NaN       NaN   \n",
+       "1469167         NaN               NaN         NaN          NaN       NaN   \n",
        "\n",
-       "        QA_Temperature QA_Nitrogen QA_Chlorophyll QA_Salinity QA_Turbidity  \n",
-       "0                  NaN         NaN            NaN         NaN          NaN  \n",
-       "1                  NaN         NaN            NaN         NaN          NaN  \n",
-       "2                  NaN         NaN            NaN         NaN          NaN  \n",
-       "3                  NaN         NaN            NaN         NaN          NaN  \n",
-       "4                  NaN         NaN            NaN         NaN          NaN  \n",
-       "...                ...         ...            ...         ...          ...  \n",
-       "1465643            NaN         NaN            NaN         NaN          NaN  \n",
-       "1465644            NaN         NaN            NaN         NaN          NaN  \n",
-       "1465645            NaN         NaN            NaN         NaN          NaN  \n",
-       "1465646            NaN         NaN            NaN         NaN          NaN  \n",
-       "1465647            NaN         NaN            NaN         NaN          NaN  \n",
+       "        QA_Temperature  \n",
+       "0                  NaN  \n",
+       "1                  NaN  \n",
+       "2                  NaN  \n",
+       "3                  NaN  \n",
+       "4                  NaN  \n",
+       "...                ...  \n",
+       "1469163            NaN  \n",
+       "1469164            NaN  \n",
+       "1469165            NaN  \n",
+       "1469166            NaN  \n",
+       "1469167            NaN  \n",
        "\n",
-       "[1396992 rows x 113 columns]"
+       "[1400296 rows x 113 columns]"
       ]
      },
      "execution_count": 16,
@@ -1891,10 +1910,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:03:16.494447Z",
-     "iopub.status.busy": "2024-09-05T04:03:16.494038Z",
-     "iopub.status.idle": "2024-09-05T04:03:19.252925Z",
-     "shell.execute_reply": "2024-09-05T04:03:19.252307Z"
+     "iopub.execute_input": "2024-11-05T03:47:56.951785Z",
+     "iopub.status.busy": "2024-11-05T03:47:56.951511Z",
+     "iopub.status.idle": "2024-11-05T03:47:59.700854Z",
+     "shell.execute_reply": "2024-11-05T03:47:59.700291Z"
     },
     "hidden": true
    },
@@ -1909,10 +1928,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:03:19.255566Z",
-     "iopub.status.busy": "2024-09-05T04:03:19.255395Z",
-     "iopub.status.idle": "2024-09-05T04:03:24.642756Z",
-     "shell.execute_reply": "2024-09-05T04:03:24.642185Z"
+     "iopub.execute_input": "2024-11-05T03:47:59.702996Z",
+     "iopub.status.busy": "2024-11-05T03:47:59.702641Z",
+     "iopub.status.idle": "2024-11-05T03:48:04.958489Z",
+     "shell.execute_reply": "2024-11-05T03:48:04.957919Z"
     },
     "hidden": true
    },
@@ -1936,10 +1955,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-09-05T04:03:24.645366Z",
-     "iopub.status.busy": "2024-09-05T04:03:24.645015Z",
-     "iopub.status.idle": "2024-09-05T04:04:53.947488Z",
-     "shell.execute_reply": "2024-09-05T04:04:53.946925Z"
+     "iopub.execute_input": "2024-11-05T03:48:04.960401Z",
+     "iopub.status.busy": "2024-11-05T03:48:04.960237Z",
+     "iopub.status.idle": "2024-11-05T03:49:32.280884Z",
+     "shell.execute_reply": "2024-11-05T03:49:32.280256Z"
     },
     "hidden": true
    },
@@ -1978,7 +1997,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,