diff --git a/book/chapters/dataloader.ipynb b/book/chapters/dataloader.ipynb
index 845ba47..0cfca8b 100644
--- a/book/chapters/dataloader.ipynb
+++ b/book/chapters/dataloader.ipynb
@@ -846,18 +846,20 @@
    },
    "outputs": [],
    "source": [
-    "instrument_key = 'optaa'\n",
-    "for s in osb_profiler_streams: \n",
-    "    if instrument_key in s: \n",
-    "        print('Found this instrument stream:', s)\n",
-    "        instrument_stream = s\n",
-    "        break\n",
+    "# Not working yet\n",
+    "if False:\n",
+    "    instrument_key = 'optaa'\n",
+    "    for s in osb_profiler_streams: \n",
+    "        if instrument_key in s: \n",
+    "            print('Found this instrument stream:', s)\n",
+    "            instrument_stream = s\n",
+    "            break\n",
     "        \n",
-    "ds = loadData(instrument_stream)                      # lazy load\n",
-    "t0, t1 = '2022-01-01T00', '2022-12-31T23'             # January 2022\n",
-    "ds = ds.sel(time=slice(t0, t1))                       # Subset the full time range to one month\n",
-    "print(ds.time[0], '              ', ds.time[-1])      # verify selected one month time range\n",
-    "ds                                                    # get a 'data variable' list of sensors/metadata for this instrument"
+    "    ds = loadData(instrument_stream)                      # lazy load\n",
+    "    t0, t1 = '2022-01-01T00', '2022-12-31T23'             # January 2022\n",
+    "    ds = ds.sel(time=slice(t0, t1))                       # Subset the full time range to one month\n",
+    "    print(ds.time[0], '              ', ds.time[-1])      # verify selected one month time range\n",
+    "    ds                                                    # get a 'data variable' list of sensors/metadata for this instrument"
    ]
   },
   {
@@ -868,14 +870,6 @@
     "...paused here: This will require unique code to retain the wavelength dimension..."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "46eb4373-7fc7-4d14-980f-20c3f6f375c1",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "363f8c5a-ca63-46c6-8f2d-db244eb7e41c",
@@ -886,23 +880,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 12,
    "id": "116d035e-c844-44a3-b021-49ec801c0d88",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Found this instrument stream: ooi-data/RS01SBPS-SF01A-3C-PARADA101-streamed-parad_sa_sample\n",
-      "Compare:                      ooi-data/RS01SBPS-SF01A-3C-PARADA101-streamed-parad_sa_sample\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "if True:\n",
+    "if False:\n",
     "    instrument_key = 'parad'\n",
     "    for s in osb_profiler_streams: \n",
     "        if instrument_key in s: \n",
@@ -914,14 +899,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "62581c86-5bd2-4adf-b70e-383b50a44c9a",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "if True:\n",
+    "if False:\n",
     "    ds = loadData(instrument_stream)                      # lazy load\n",
     "    t0, t1 = '2022-01-01T00', '2022-12-31T23'             # January 2022\n",
     "    ds = ds.sel(time=slice(t0, t1))                       # Subset the full time range to one month\n",
@@ -937,7 +922,7 @@
     "***seems to fail: kernel restart (timeout?)***\n",
     "\n",
     "\n",
-    "Compare: Joe says this stream is ok: `RS01SBPS-SF01A-3C-PARADA101-streamed-parad_sa_sample`"
+    "Compare: Joe says this stream is ok: `RS01SBPS-SF01A-3C-PARADA101-streamed-parad_sa_sample` and use a bigger machine."
    ]
   },
   {
@@ -998,7 +983,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 14,
    "id": "8344cfa7-362c-4522-818c-788e7a639d48",
    "metadata": {
     "tags": []
@@ -1054,7 +1039,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 15,
    "id": "0097acb9-a10b-409b-9c28-c1713fbb7d12",
    "metadata": {},
    "outputs": [
@@ -1068,9 +1053,9 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 600x400 with 1 Axes>"
+       "<Figure size 600x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1097,17 +1082,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 16,
    "id": "6476db17-0835-498c-865e-07641dbe09e4",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f54177b4590>]"
+       "[<matplotlib.lines.Line2D at 0x7f286396ba70>]"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1128,17 +1113,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 17,
    "id": "8aefd0e3-2738-4e9b-9f64-9864f9223710",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f54142cc0e0>]"
+       "[<matplotlib.lines.Line2D at 0x7f2862cc66f0>]"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1167,7 +1152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 18,
    "id": "69f59bc3-04c9-4dff-9950-b10a3bffd5fa",
    "metadata": {
     "tags": []
@@ -1222,21 +1207,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 19,
    "id": "5d3aa1c9-d4ae-45de-a79c-94d56195c008",
    "metadata": {},
    "outputs": [
     {
-     "ename": "AttributeError",
-     "evalue": "'Dataset' object has no attribute 'nitrate'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[24], line 7\u001b[0m\n\u001b[1;32m      4\u001b[0m     ds_nitrate\u001b[38;5;241m.\u001b[39mto_netcdf(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m./data/rca/sensors/osb/nitrate_jan_2022.nc\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m      6\u001b[0m ds_nitrate    \u001b[38;5;241m=\u001b[39m xr\u001b[38;5;241m.\u001b[39mopen_dataset(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m./data/rca/sensors/osb/nitrate_jan_2022.nc\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 7\u001b[0m fig, axes \u001b[38;5;241m=\u001b[39m ChartSensor(profiles, ranges[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnitrate\u001b[39m\u001b[38;5;124m'\u001b[39m], [\u001b[38;5;241m3\u001b[39m], ds_nitrate\u001b[38;5;241m.\u001b[39mnitrate,       \u001b[38;5;241m-\u001b[39mds_nitrate\u001b[38;5;241m.\u001b[39mdepth,    \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnitrate \u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mblack\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mascent\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;241m6\u001b[39m, \u001b[38;5;241m4\u001b[39m)\n",
-      "File \u001b[0;32m~/miniconda3/envs/oceanography/lib/python3.12/site-packages/xarray/core/common.py:278\u001b[0m, in \u001b[0;36mAttrAccessMixin.__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m    276\u001b[0m         \u001b[38;5;28;01mwith\u001b[39;00m suppress(\u001b[38;5;167;01mKeyError\u001b[39;00m):\n\u001b[1;32m    277\u001b[0m             \u001b[38;5;28;01mreturn\u001b[39;00m source[name]\n\u001b[0;32m--> 278\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\n\u001b[1;32m    279\u001b[0m     \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m object has no attribute \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    280\u001b[0m )\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'Dataset' object has no attribute 'nitrate'"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Attempting 1 charts\n",
+      "\n"
      ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1259,7 +1250,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 20,
    "id": "5b764c28-ae36-4066-9d3e-64873c13962a",
    "metadata": {
     "tags": []
@@ -1682,12 +1673,12 @@
        "    stream:                             velpt_velocity_data\n",
        "    subsite:                            RS01SBPS\n",
        "    summary:                            Dataset Generated by Stream Engine fr...\n",
-       "    time_coverage_end:                  2024-07-09T11:15:53.441897472\n",
+       "    time_coverage_end:                  2024-07-15T11:16:01.879897600\n",
        "    time_coverage_start:                2014-10-06T23:32:22.570285568\n",
-       "    title:                              Data produced by Stream Engine versio...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2a043ca0-6fd1-4a5f-8e7c-4d7a886fa7fc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a043ca0-6fd1-4a5f-8e7c-4d7a886fa7fc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 29325960</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d63374c7-8f2d-4052-8d61-49475035ce8f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d63374c7-8f2d-4052-8d61-49475035ce8f' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01T00:00:00.527429120 .....</div><input id='attrs-404d12bd-12fc-4f2a-9d9e-aed208d668fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-404d12bd-12fc-4f2a-9d9e-aed208d668fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8eb67db7-5dc2-4a5c-bbfc-08f0f4ba2ebd' class='xr-var-data-in' type='checkbox'><label for='data-8eb67db7-5dc2-4a5c-bbfc-08f0f4ba2ebd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.527429120&#x27;, &#x27;2022-01-01T00:00:01.527426048&#x27;,\n",
+       "    title:                              Data produced by Stream Engine versio...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6630b7fb-ba9f-479b-bc28-5a0d658d8d08' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6630b7fb-ba9f-479b-bc28-5a0d658d8d08' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 29325960</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-89c7eab9-8a80-4508-bb92-01e20c674b18' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89c7eab9-8a80-4508-bb92-01e20c674b18' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01T00:00:00.527429120 .....</div><input id='attrs-498ea304-a1de-440e-8a8a-f46d898f0f8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-498ea304-a1de-440e-8a8a-f46d898f0f8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c48218bd-4f5b-4e23-b0c2-912dadcff042' class='xr-var-data-in' type='checkbox'><label for='data-c48218bd-4f5b-4e23-b0c2-912dadcff042' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.527429120&#x27;, &#x27;2022-01-01T00:00:01.527426048&#x27;,\n",
        "       &#x27;2022-01-01T00:00:02.527426048&#x27;, ..., &#x27;2022-12-31T23:59:57.845967360&#x27;,\n",
        "       &#x27;2022-12-31T23:59:58.845957120&#x27;, &#x27;2022-12-31T23:59:59.845964288&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5b30253-c6bb-45d2-abd3-eb3648c9089f' class='xr-section-summary-in' type='checkbox'  ><label for='section-b5b30253-c6bb-45d2-abd3-eb3648c9089f' class='xr-section-summary' >Data variables: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>amplitude_beam1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-410e3a4b-e483-41bb-8c50-38b17c49dff7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-410e3a4b-e483-41bb-8c50-38b17c49dff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c94cfe17-6633-479e-8ec5-6bf0bddf272c' class='xr-var-data-in' type='checkbox'><label for='data-c94cfe17-6633-479e-8ec5-6bf0bddf272c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Amplitude, Beam 1</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>counts</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amplitude_beam2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92b35cd0-6ca5-40b0-b382-3e6ab327c6ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92b35cd0-6ca5-40b0-b382-3e6ab327c6ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fed7494d-ae11-414b-bbb2-c906ddd92291' class='xr-var-data-in' type='checkbox'><label for='data-fed7494d-ae11-414b-bbb2-c906ddd92291' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Amplitude, Beam 2</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>counts</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amplitude_beam3</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-775a9eae-4893-4aa2-959a-6d2df7317621' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-775a9eae-4893-4aa2-959a-6d2df7317621' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84432129-6515-4d55-bab5-892d8927d11a' class='xr-var-data-in' type='checkbox'><label for='data-84432129-6515-4d55-bab5-892d8927d11a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Amplitude, Beam 3</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>counts</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>analog1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-40ef83ff-be52-4c8a-957e-66540d505cb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40ef83ff-be52-4c8a-957e-66540d505cb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68a75258-1862-4f8c-bbb3-78c2c5a16790' class='xr-var-data-in' type='checkbox'><label for='data-68a75258-1862-4f8c-bbb3-78c2c5a16790' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Analog 1</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>battery_voltage_dv</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88c6ed87-9933-439a-aa14-5afa52048215' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88c6ed87-9933-439a-aa14-5afa52048215' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35371542-8efd-4572-95b9-c38e50e6ac5c' class='xr-var-data-in' type='checkbox'><label for='data-35371542-8efd-4572-95b9-c38e50e6ac5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Instrument battery voltage reported in decivolts.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>units :</span></dt><dd>dV</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ctdpf_sbe43_sample-depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1432516-9ecc-4709-825f-742aa9bf9fd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1432516-9ecc-4709-825f-742aa9bf9fd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84e3bb05-ca05-43fd-ae16-9bf49a81b3fb' class='xr-var-data-in' type='checkbox'><label for='data-84e3bb05-ca05-43fd-ae16-9bf49a81b3fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Depth (m) calculated from pressure (dbar) and latitude.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>instrument :</span></dt><dd>RS01SBPS-SF01A-2A-CTDPFA102</dd><dt><span>long_name :</span></dt><dd>Depth calculated from pressure</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>stream :</span></dt><dd>ctdpf_sbe43_sample</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deployment</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-01926d70-5d1a-459f-bfc9-e9befd9e14a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01926d70-5d1a-459f-bfc9-e9befd9e14a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6255be2d-ba57-4f5c-8e1c-fc48e752eb59' class='xr-var-data-in' type='checkbox'><label for='data-6255be2d-ba57-4f5c-8e1c-fc48e752eb59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Deployment Number</dd><dt><span>name :</span></dt><dd>deployment</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>driver_timestamp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2f426b0-b3a6-44d0-b318-a0251f1854ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2f426b0-b3a6-44d0-b318-a0251f1854ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ff93255-67f9-4d3f-8f3f-b583c77479c2' class='xr-var-data-in' type='checkbox'><label for='data-2ff93255-67f9-4d3f-8f3f-b583c77479c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Driver timestamp, UTC</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Driver Timestamp, UTC</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1d102bd-e9f1-44a5-96d6-74011e0c1f84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1d102bd-e9f1-44a5-96d6-74011e0c1f84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-856de54a-8fb2-474e-b845-777917b4ea66' class='xr-var-data-in' type='checkbox'><label for='data-856de54a-8fb2-474e-b845-777917b4ea66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Error Code</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading_decidegree</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1785671c-7a6d-4027-b99a-541d466910d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1785671c-7a6d-4027-b99a-541d466910d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f07cf6ea-efc4-4d76-9241-4431a3a90de6' class='xr-var-data-in' type='checkbox'><label for='data-f07cf6ea-efc4-4d76-9241-4431a3a90de6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Compass Heading</dd><dt><span>precision :</span></dt><dd>1</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ingestion_timestamp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3aabdc2-2510-489a-9dc9-0447308d398a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3aabdc2-2510-489a-9dc9-0447308d398a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a04bcf07-45fc-4119-b7ff-460a90b1ce6a' class='xr-var-data-in' type='checkbox'><label for='data-a04bcf07-45fc-4119-b7ff-460a90b1ce6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>The NTP Timestamp for when the granule was ingested</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Ingestion Timestamp, UTC</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>int_ctd_pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc4a4992-78c5-46e5-b1e7-df714f7765f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc4a4992-78c5-46e5-b1e7-df714f7765f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6336333c-6a35-4adc-acef-2d7c0f876ec5' class='xr-var-data-in' type='checkbox'><label for='data-6336333c-6a35-4adc-acef-2d7c0f876ec5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Seawater Pressure refers to the pressure exerted on a sensor in situ by the weight of the column of seawater above it. It is calculated by subtracting one standard atmosphere from the absolute pressure at the sensor to remove the weight of the atmosphere on top of the water column. The pressure at a sensor in situ provides a metric of the depth of that sensor.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>PRESWAT_L1</dd><dt><span>long_name :</span></dt><dd>Seawater Pressure</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>dbar</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_timestamp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0113ca89-e18e-4b73-ba03-591e2a2337c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0113ca89-e18e-4b73-ba03-591e2a2337c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b73c105-9540-45dc-9dde-3b3ba01fe1c1' class='xr-var-data-in' type='checkbox'><label for='data-2b73c105-9540-45dc-9dde-3b3ba01fe1c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Internal timestamp, UTC</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Internal Timestamp, UTC</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch_decidegree</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e5dbde3-c54e-4867-be48-ba0fa6739e9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e5dbde3-c54e-4867-be48-ba0fa6739e9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc833524-a31c-461e-94e0-c3ab3e31b3d3' class='xr-var-data-in' type='checkbox'><label for='data-dc833524-a31c-461e-94e0-c3ab3e31b3d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>The rotated angle about the pitch-axis relative to the horizontal plane. Rotation follows the right hand rule designation; i.e. with the r.h. thumb pointing in the rotation axis direction, positive rotation is in the direction of the curled fingers.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Compass Pitch</dd><dt><span>precision :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>port_timestamp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd75d830-d0e6-4080-b8ce-b71249d9d006' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd75d830-d0e6-4080-b8ce-b71249d9d006' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24827665-02d8-49b9-8289-5504a80c2878' class='xr-var-data-in' type='checkbox'><label for='data-24827665-02d8-49b9-8289-5504a80c2878' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Port timestamp, UTC</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Port Timestamp, UTC</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll_decidegree</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29d54187-8615-45ea-89bb-4324cf493949' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d54187-8615-45ea-89bb-4324cf493949' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7a57af0-5816-4501-8d40-c71aeac740c2' class='xr-var-data-in' type='checkbox'><label for='data-f7a57af0-5816-4501-8d40-c71aeac740c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>The rotated angle about the roll-axis relative to the horizontal plane. Rotation follows the right hand rule designation; i.e. with the r.h. thumb pointing in the rotation axis direction, positive rotation is in the direction of the curled fingers.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Compass Roll</dd><dt><span>precision :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_water_pressure_mbar</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d0eb968-9ae4-4380-bafa-e1f5bdc8abea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d0eb968-9ae4-4380-bafa-e1f5bdc8abea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca63da81-021d-46f7-8aa2-124a876b215a' class='xr-var-data-in' type='checkbox'><label for='data-ca63da81-021d-46f7-8aa2-124a876b215a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>alternate_parameter_name :</span></dt><dd>pressure_mbar</dd><dt><span>comment :</span></dt><dd>Seawater Pressure refers to the pressure exerted on a sensor in situ by the weight of the column of seawater above it. It is calculated by subtracting one standard atmosphere from the absolute pressure at the sensor to remove the weight of the atmosphere on top of the water column. The pressure at a sensor in situ provides a metric of the depth of that sensor.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Seawater Pressure</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>mbar</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_water_pressure_mbar_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1cba7ef9-6959-4575-bdd4-13a148bb3ca2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cba7ef9-6959-4575-bdd4-13a148bb3ca2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a72e9a7-d8c1-46b0-9dd3-740b5fc58735' class='xr-var-data-in' type='checkbox'><label for='data-2a72e9a7-d8c1-46b0-9dd3-740b5fc58735' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>alternate_parameter_name :</span></dt><dd>pressure_mbar_qc_executed</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_water_pressure_mbar_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05871e35-25bd-4862-a854-fabd204772a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05871e35-25bd-4862-a854-fabd204772a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-522d471d-6f71-40a4-b6a3-9fbf59ef6078' class='xr-var-data-in' type='checkbox'><label for='data-522d471d-6f71-40a4-b6a3-9fbf59ef6078' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>alternate_parameter_name :</span></dt><dd>pressure_mbar_qc_results</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_speed_dms</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c2b68cc-05fb-4718-80a1-26cad03c0196' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c2b68cc-05fb-4718-80a1-26cad03c0196' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09af08ca-0107-4973-9fa9-28586bb51c71' class='xr-var-data-in' type='checkbox'><label for='data-09af08ca-0107-4973-9fa9-28586bb51c71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>units :</span></dt><dd>dm s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b129ce7-fca1-4538-93b2-f4ba7d3cf747' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b129ce7-fca1-4538-93b2-f4ba7d3cf747' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96a5fa88-ed12-4edf-aa45-2c9ab6f793e1' class='xr-var-data-in' type='checkbox'><label for='data-96a5fa88-ed12-4edf-aa45-2c9ab6f793e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Status</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_centidegree</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e9697b40-06a2-41a0-9a93-50f7357d92cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9697b40-06a2-41a0-9a93-50f7357d92cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99cda662-4383-4ccf-97ec-a31bdbc893e6' class='xr-var-data-in' type='checkbox'><label for='data-99cda662-4383-4ccf-97ec-a31bdbc893e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Seawater temperature near the sensor.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Seawater Temperature</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>cdegrees_Celsius</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47d09c0c-e610-49db-b3bb-b94322668c9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47d09c0c-e610-49db-b3bb-b94322668c9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33056f2d-2e99-4330-abac-2d2e9c686bb6' class='xr-var-data-in' type='checkbox'><label for='data-33056f2d-2e99-4330-abac-2d2e9c686bb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the eastward component of mean point seawater velocity in earth coordinates relative to true north (accounted for magnetic variation).</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLE_L0</dd><dt><span>long_name :</span></dt><dd>Eastward Mean Point Seawater Velocity</dd><dt><span>units :</span></dt><dd>mm s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam1_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1911fe1c-cb1d-4294-8e1b-4743e82f037d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1911fe1c-cb1d-4294-8e1b-4743e82f037d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99d1123e-8dc4-4240-967e-8d03b10c0ca9' class='xr-var-data-in' type='checkbox'><label for='data-99d1123e-8dc4-4240-967e-8d03b10c0ca9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam1_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac209a48-64c0-4240-bbc5-03791029c4e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac209a48-64c0-4240-bbc5-03791029c4e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94060305-3ad3-445c-9cdc-10e111100ba4' class='xr-var-data-in' type='checkbox'><label for='data-94060305-3ad3-445c-9cdc-10e111100ba4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b1a51060-10ef-4031-bfa3-c3072f564196' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1a51060-10ef-4031-bfa3-c3072f564196' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d4e24f8-d3eb-4cdc-88ca-7bb73965bc2e' class='xr-var-data-in' type='checkbox'><label for='data-3d4e24f8-d3eb-4cdc-88ca-7bb73965bc2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the northward component of mean point seawater velocity in earth coordinates relative to true north (accounted for magnetic variation).</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLN_L0</dd><dt><span>long_name :</span></dt><dd>Northward Mean Point Seawater Velocity</dd><dt><span>units :</span></dt><dd>mm s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam2_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ca41af5-cc53-4aad-98fc-9fe0267fa7ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ca41af5-cc53-4aad-98fc-9fe0267fa7ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-765fe610-7aa6-4cd9-a850-2a8ca115aee1' class='xr-var-data-in' type='checkbox'><label for='data-765fe610-7aa6-4cd9-a850-2a8ca115aee1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam2_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b048260-3e6d-4f82-bc8a-bd2b085db4f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b048260-3e6d-4f82-bc8a-bd2b085db4f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bf9e680-0817-4c64-a56e-6e77ea5a9cad' class='xr-var-data-in' type='checkbox'><label for='data-7bf9e680-0817-4c64-a56e-6e77ea5a9cad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam3</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-11006da4-7238-44b3-ab15-00724bdb3a99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11006da4-7238-44b3-ab15-00724bdb3a99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-817c80d6-ba0c-4b50-a763-92f64c3e87fd' class='xr-var-data-in' type='checkbox'><label for='data-817c80d6-ba0c-4b50-a763-92f64c3e87fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the upward component of mean point seawater velocity.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLU_L0</dd><dt><span>long_name :</span></dt><dd>Upward Mean Point Seawater Velocity</dd><dt><span>units :</span></dt><dd>mm s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam3_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02223b2f-e89b-4ce6-a92e-cc554f1dfdbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02223b2f-e89b-4ce6-a92e-cc554f1dfdbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4024878-41b6-41fa-b09f-fd098b3d1999' class='xr-var-data-in' type='checkbox'><label for='data-b4024878-41b6-41fa-b09f-fd098b3d1999' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam3_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-87a74f08-e206-4cc4-82f9-78dd6676732a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87a74f08-e206-4cc4-82f9-78dd6676732a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02c84fc8-3697-486e-960a-5c7572f41167' class='xr-var-data-in' type='checkbox'><label for='data-02c84fc8-3697-486e-960a-5c7572f41167' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_eastward_velocity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a29533d4-f5b6-4d0c-ae5b-84637bd8e4e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a29533d4-f5b6-4d0c-ae5b-84637bd8e4e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45472aa2-8497-4565-85b6-80a560e8c275' class='xr-var-data-in' type='checkbox'><label for='data-45472aa2-8497-4565-85b6-80a560e8c275' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ancillary_variables :</span></dt><dd>velocity_beam1 time velocity_beam2</dd><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the eastward component of mean point seawater velocity in earth coordinates relative to true north (accounted for magnetic variation).</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLE_L1</dd><dt><span>long_name :</span></dt><dd>Eastward Mean Point Seawater Velocity</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_eastward_velocity_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a944e6a1-4e5e-4477-8fac-778ec26818e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a944e6a1-4e5e-4477-8fac-778ec26818e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8405f6b-2e45-4c1a-9d84-ddceb9661cfb' class='xr-var-data-in' type='checkbox'><label for='data-f8405f6b-2e45-4c1a-9d84-ddceb9661cfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_eastward_velocity_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-673e79f1-41e7-45be-a799-3749d257ec65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-673e79f1-41e7-45be-a799-3749d257ec65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11f1b43c-067f-4036-9f07-14d3d365b838' class='xr-var-data-in' type='checkbox'><label for='data-11f1b43c-067f-4036-9f07-14d3d365b838' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_northward_velocity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08a41551-643e-4c8e-95a4-347c78fbdcf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08a41551-643e-4c8e-95a4-347c78fbdcf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f338807-6af1-4fe6-8e2a-791f956d0349' class='xr-var-data-in' type='checkbox'><label for='data-7f338807-6af1-4fe6-8e2a-791f956d0349' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ancillary_variables :</span></dt><dd>velocity_beam1 time velocity_beam2</dd><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the northward component of mean point seawater velocity in earth coordinates relative to true north (accounted for magnetic variation).</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLN_L1</dd><dt><span>long_name :</span></dt><dd>Northward Mean Point Seawater Velocity</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_northward_velocity_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08ce20bd-cbc7-4a2a-a1b7-0a14b1e55abe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08ce20bd-cbc7-4a2a-a1b7-0a14b1e55abe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5308c8f-f586-4d81-9994-e50c9a30c7e3' class='xr-var-data-in' type='checkbox'><label for='data-e5308c8f-f586-4d81-9994-e50c9a30c7e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_northward_velocity_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-638de0f5-eba1-43e3-983c-6172e613d9ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-638de0f5-eba1-43e3-983c-6172e613d9ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95feb209-4d85-4c5c-8248-6bb9c048f7ec' class='xr-var-data-in' type='checkbox'><label for='data-95feb209-4d85-4c5c-8248-6bb9c048f7ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_upward_velocity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91012a46-0a07-46f6-bf5f-012a59733d23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91012a46-0a07-46f6-bf5f-012a59733d23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eab3010a-5d49-4b9b-939b-711eebffa262' class='xr-var-data-in' type='checkbox'><label for='data-eab3010a-5d49-4b9b-939b-711eebffa262' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ancillary_variables :</span></dt><dd>velocity_beam3</dd><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the upward component of mean point seawater velocity.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLU_L1</dd><dt><span>long_name :</span></dt><dd>Upward Mean Point Seawater Velocity</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>standard_name :</span></dt><dd>upward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_upward_velocity_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-df94933e-578a-41a0-9ef7-a5de9b5e2d6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df94933e-578a-41a0-9ef7-a5de9b5e2d6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cd72333-b892-4b4f-8ed0-81ebada5cf93' class='xr-var-data-in' type='checkbox'><label for='data-0cd72333-b892-4b4f-8ed0-81ebada5cf93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_upward_velocity_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c104b484-b940-4b81-8bcc-dcc081284502' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c104b484-b940-4b81-8bcc-dcc081284502' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27e4d9cf-d24d-4cf5-b2cf-a22a67dc5253' class='xr-var-data-in' type='checkbox'><label for='data-27e4d9cf-d24d-4cf5-b2cf-a22a67dc5253' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3ac9df3-21d5-49e3-b67a-dd3af52bc423' class='xr-section-summary-in' type='checkbox'  ><label for='section-e3ac9df3-21d5-49e3-b67a-dd3af52bc423' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4a911957-2851-42b2-ab8a-4a5ece243667' class='xr-index-data-in' type='checkbox'/><label for='index-4a911957-2851-42b2-ab8a-4a5ece243667' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00.527429120&#x27;,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29fb086c-f6d4-4250-bc0b-cedbc0be993c' class='xr-section-summary-in' type='checkbox'  ><label for='section-29fb086c-f6d4-4250-bc0b-cedbc0be993c' class='xr-section-summary' >Data variables: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>amplitude_beam1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9064aa5-0158-4f6e-8732-c4f8ade960ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9064aa5-0158-4f6e-8732-c4f8ade960ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-189af780-6d18-4796-84c0-814e5b0f231f' class='xr-var-data-in' type='checkbox'><label for='data-189af780-6d18-4796-84c0-814e5b0f231f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Amplitude, Beam 1</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>counts</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amplitude_beam2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-532fc569-bbd3-4b5f-bc6d-76535b9a26de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-532fc569-bbd3-4b5f-bc6d-76535b9a26de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0f354dd-e247-40a4-8204-0cf109b1c512' class='xr-var-data-in' type='checkbox'><label for='data-a0f354dd-e247-40a4-8204-0cf109b1c512' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Amplitude, Beam 2</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>counts</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>amplitude_beam3</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c9888cf3-5dff-440f-a99e-8d50bb028425' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9888cf3-5dff-440f-a99e-8d50bb028425' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a41018c3-bd2b-42c5-a2fe-e29098ab7360' class='xr-var-data-in' type='checkbox'><label for='data-a41018c3-bd2b-42c5-a2fe-e29098ab7360' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Amplitude, Beam 3</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>counts</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>analog1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b6f9b709-3c94-4ed1-9258-cf110bcc0765' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6f9b709-3c94-4ed1-9258-cf110bcc0765' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f943902b-d91f-4f41-b216-114fb47ffd9d' class='xr-var-data-in' type='checkbox'><label for='data-f943902b-d91f-4f41-b216-114fb47ffd9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Analog 1</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>battery_voltage_dv</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fccc7fff-6730-4d2e-8e73-005e98268115' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fccc7fff-6730-4d2e-8e73-005e98268115' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5ccb95d-7352-452c-99b9-b7cfca4b9fb9' class='xr-var-data-in' type='checkbox'><label for='data-b5ccb95d-7352-452c-99b9-b7cfca4b9fb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Instrument battery voltage reported in decivolts.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Battery Voltage</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>units :</span></dt><dd>dV</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ctdpf_sbe43_sample-depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22ce646e-f2c3-4621-b43b-14502aaa608c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22ce646e-f2c3-4621-b43b-14502aaa608c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-249a9f37-1a12-4d50-b9aa-4d9c92c95e8d' class='xr-var-data-in' type='checkbox'><label for='data-249a9f37-1a12-4d50-b9aa-4d9c92c95e8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Depth (m) calculated from pressure (dbar) and latitude.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>instrument :</span></dt><dd>RS01SBPS-SF01A-2A-CTDPFA102</dd><dt><span>long_name :</span></dt><dd>Depth calculated from pressure</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>stream :</span></dt><dd>ctdpf_sbe43_sample</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deployment</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc50fc6a-bc4a-4237-983e-51daa8f6fd10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc50fc6a-bc4a-4237-983e-51daa8f6fd10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3965dc33-dfd5-4bf4-993f-849052ab67c3' class='xr-var-data-in' type='checkbox'><label for='data-3965dc33-dfd5-4bf4-993f-849052ab67c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Deployment Number</dd><dt><span>name :</span></dt><dd>deployment</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>driver_timestamp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95c5de00-1b00-4cea-828c-c5b1d329d68e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95c5de00-1b00-4cea-828c-c5b1d329d68e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da71a0da-bc38-4408-83a8-287ad7920dde' class='xr-var-data-in' type='checkbox'><label for='data-da71a0da-bc38-4408-83a8-287ad7920dde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Driver timestamp, UTC</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Driver Timestamp, UTC</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>error_code</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0b29afb-c355-4610-8771-5e9090747b2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0b29afb-c355-4610-8771-5e9090747b2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c70f5c9-493d-4d9f-a0f3-af6e1c28c021' class='xr-var-data-in' type='checkbox'><label for='data-2c70f5c9-493d-4d9f-a0f3-af6e1c28c021' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Error Code</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading_decidegree</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e1bedd5-6b04-423f-957f-c88ddfeffb5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e1bedd5-6b04-423f-957f-c88ddfeffb5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e6abc63-f2ed-482a-ae02-2c9491c630b2' class='xr-var-data-in' type='checkbox'><label for='data-1e6abc63-f2ed-482a-ae02-2c9491c630b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Compass Heading</dd><dt><span>precision :</span></dt><dd>1</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ingestion_timestamp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cfc80faf-23ed-476d-9d2d-717f82202371' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfc80faf-23ed-476d-9d2d-717f82202371' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aab40552-7c82-4b35-babc-b323331d47c6' class='xr-var-data-in' type='checkbox'><label for='data-aab40552-7c82-4b35-babc-b323331d47c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>The NTP Timestamp for when the granule was ingested</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Ingestion Timestamp, UTC</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>int_ctd_pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7bf1f780-3650-4977-b9c2-2ecc57b1693f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bf1f780-3650-4977-b9c2-2ecc57b1693f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56646164-050a-4f81-8a2e-2e3ceb73dcd4' class='xr-var-data-in' type='checkbox'><label for='data-56646164-050a-4f81-8a2e-2e3ceb73dcd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Seawater Pressure refers to the pressure exerted on a sensor in situ by the weight of the column of seawater above it. It is calculated by subtracting one standard atmosphere from the absolute pressure at the sensor to remove the weight of the atmosphere on top of the water column. The pressure at a sensor in situ provides a metric of the depth of that sensor.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>PRESWAT_L1</dd><dt><span>long_name :</span></dt><dd>Seawater Pressure</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>dbar</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_timestamp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-564db05c-4a6b-40f7-a3ca-2142d65a80c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-564db05c-4a6b-40f7-a3ca-2142d65a80c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d592210-18ab-40fb-a81e-54a4133da899' class='xr-var-data-in' type='checkbox'><label for='data-5d592210-18ab-40fb-a81e-54a4133da899' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Internal timestamp, UTC</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Internal Timestamp, UTC</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch_decidegree</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da3f7b54-6a1d-4046-a9a6-774afe0ed881' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da3f7b54-6a1d-4046-a9a6-774afe0ed881' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23e78a63-aabc-4a79-af05-3d3d672a7f77' class='xr-var-data-in' type='checkbox'><label for='data-23e78a63-aabc-4a79-af05-3d3d672a7f77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>The rotated angle about the pitch-axis relative to the horizontal plane. Rotation follows the right hand rule designation; i.e. with the r.h. thumb pointing in the rotation axis direction, positive rotation is in the direction of the curled fingers.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Compass Pitch</dd><dt><span>precision :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>port_timestamp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3db15040-fb3b-4a61-bc66-faad1c01b171' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3db15040-fb3b-4a61-bc66-faad1c01b171' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8304d37c-a80f-4f98-8e68-a38aa344ce6f' class='xr-var-data-in' type='checkbox'><label for='data-8304d37c-a80f-4f98-8e68-a38aa344ce6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Port timestamp, UTC</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Port Timestamp, UTC</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll_decidegree</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a00430b-8564-4591-b6fb-7c97fe56cad4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a00430b-8564-4591-b6fb-7c97fe56cad4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d37ca8ba-2ff2-4419-8ad4-db551c68012f' class='xr-var-data-in' type='checkbox'><label for='data-d37ca8ba-2ff2-4419-8ad4-db551c68012f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>The rotated angle about the roll-axis relative to the horizontal plane. Rotation follows the right hand rule designation; i.e. with the r.h. thumb pointing in the rotation axis direction, positive rotation is in the direction of the curled fingers.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Compass Roll</dd><dt><span>precision :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_water_pressure_mbar</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3f6379ca-5531-43a8-a71d-85198bd8c476' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f6379ca-5531-43a8-a71d-85198bd8c476' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-023aa058-b7e1-4420-b70b-99787a3fdf55' class='xr-var-data-in' type='checkbox'><label for='data-023aa058-b7e1-4420-b70b-99787a3fdf55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>alternate_parameter_name :</span></dt><dd>pressure_mbar</dd><dt><span>comment :</span></dt><dd>Seawater Pressure refers to the pressure exerted on a sensor in situ by the weight of the column of seawater above it. It is calculated by subtracting one standard atmosphere from the absolute pressure at the sensor to remove the weight of the atmosphere on top of the water column. The pressure at a sensor in situ provides a metric of the depth of that sensor.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Seawater Pressure</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>mbar</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_water_pressure_mbar_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f01f229-a644-4a88-8a9b-0e17c0136e15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f01f229-a644-4a88-8a9b-0e17c0136e15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fdb4d03-69d4-45cd-ad43-5dc5ac226a25' class='xr-var-data-in' type='checkbox'><label for='data-0fdb4d03-69d4-45cd-ad43-5dc5ac226a25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>alternate_parameter_name :</span></dt><dd>pressure_mbar_qc_executed</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_water_pressure_mbar_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac69c9a0-fa3a-4979-a8da-3f261c33746f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac69c9a0-fa3a-4979-a8da-3f261c33746f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49c63f25-b2b4-4401-935f-d56a9a7af3b2' class='xr-var-data-in' type='checkbox'><label for='data-49c63f25-b2b4-4401-935f-d56a9a7af3b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>alternate_parameter_name :</span></dt><dd>pressure_mbar_qc_results</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_speed_dms</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b290ab9-a172-435e-a3ba-ac1861f3c5f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b290ab9-a172-435e-a3ba-ac1861f3c5f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1dd8bad-277c-4ba9-b7ad-b143e6a119fb' class='xr-var-data-in' type='checkbox'><label for='data-f1dd8bad-277c-4ba9-b7ad-b143e6a119fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Speed of Sound</dd><dt><span>units :</span></dt><dd>dm s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b727f40-88c9-4e3e-87c0-2a9a9ef7585d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b727f40-88c9-4e3e-87c0-2a9a9ef7585d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c5cf2c6-5477-4e62-8252-6d8115d9f77f' class='xr-var-data-in' type='checkbox'><label for='data-5c5cf2c6-5477-4e62-8252-6d8115d9f77f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Status</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_centidegree</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c4d0224-7313-4ed7-a8b7-dfeed0745be9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c4d0224-7313-4ed7-a8b7-dfeed0745be9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-546a8fe0-e206-465e-8895-9eb0b43164a1' class='xr-var-data-in' type='checkbox'><label for='data-546a8fe0-e206-465e-8895-9eb0b43164a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Seawater temperature near the sensor.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>Seawater Temperature</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>cdegrees_Celsius</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0358a13e-c656-4c8f-8562-03beaa69500d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0358a13e-c656-4c8f-8562-03beaa69500d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28c13b84-8296-4e62-a870-fc96327c739f' class='xr-var-data-in' type='checkbox'><label for='data-28c13b84-8296-4e62-a870-fc96327c739f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the eastward component of mean point seawater velocity in earth coordinates relative to true north (accounted for magnetic variation).</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLE_L0</dd><dt><span>long_name :</span></dt><dd>Eastward Mean Point Seawater Velocity</dd><dt><span>units :</span></dt><dd>mm s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam1_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06429b44-799c-4a9a-b8c1-7314ddb917ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06429b44-799c-4a9a-b8c1-7314ddb917ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43984973-5ce0-47dd-b861-a11c53a8b588' class='xr-var-data-in' type='checkbox'><label for='data-43984973-5ce0-47dd-b861-a11c53a8b588' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam1_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-291c0273-bbfb-49f7-8352-ac156167fc2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-291c0273-bbfb-49f7-8352-ac156167fc2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f714184-636d-436a-9b7b-e3b25376cc47' class='xr-var-data-in' type='checkbox'><label for='data-3f714184-636d-436a-9b7b-e3b25376cc47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb820e50-624c-4252-bb38-a27dd4b66a25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb820e50-624c-4252-bb38-a27dd4b66a25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cdbb015-b256-46c1-8816-b73c2cbb3d96' class='xr-var-data-in' type='checkbox'><label for='data-8cdbb015-b256-46c1-8816-b73c2cbb3d96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the northward component of mean point seawater velocity in earth coordinates relative to true north (accounted for magnetic variation).</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLN_L0</dd><dt><span>long_name :</span></dt><dd>Northward Mean Point Seawater Velocity</dd><dt><span>units :</span></dt><dd>mm s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam2_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc02433b-80c8-4df3-a0b9-6c4a408fcb78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc02433b-80c8-4df3-a0b9-6c4a408fcb78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fc1363a-e6c2-4d34-b112-6060c8203d05' class='xr-var-data-in' type='checkbox'><label for='data-9fc1363a-e6c2-4d34-b112-6060c8203d05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam2_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2819ffbe-aa6f-42c8-ac59-f802779f9416' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2819ffbe-aa6f-42c8-ac59-f802779f9416' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc913afe-6d60-451a-844d-c88bfe32ef80' class='xr-var-data-in' type='checkbox'><label for='data-bc913afe-6d60-451a-844d-c88bfe32ef80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam3</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28257470-3391-4aaf-b481-688a8561a061' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28257470-3391-4aaf-b481-688a8561a061' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cc274a5-ab18-4398-b2d1-e16004f8b92b' class='xr-var-data-in' type='checkbox'><label for='data-3cc274a5-ab18-4398-b2d1-e16004f8b92b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the upward component of mean point seawater velocity.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLU_L0</dd><dt><span>long_name :</span></dt><dd>Upward Mean Point Seawater Velocity</dd><dt><span>units :</span></dt><dd>mm s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam3_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27f1e7cd-efae-4819-a522-28dc70301b15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27f1e7cd-efae-4819-a522-28dc70301b15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b3cf2ab-e177-4333-9bb2-10e03f52e46f' class='xr-var-data-in' type='checkbox'><label for='data-8b3cf2ab-e177-4333-9bb2-10e03f52e46f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_beam3_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04cfcbcf-bcfe-4003-9bfa-0861d68f9d2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04cfcbcf-bcfe-4003-9bfa-0861d68f9d2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-117a1107-8f17-46ba-9994-d7d9300a2167' class='xr-var-data-in' type='checkbox'><label for='data-117a1107-8f17-46ba-9994-d7d9300a2167' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_eastward_velocity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6dd88f88-f4c2-42d7-bc82-53b5cd9b1f40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dd88f88-f4c2-42d7-bc82-53b5cd9b1f40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78c72289-795d-4693-a3f0-d820a41e10ea' class='xr-var-data-in' type='checkbox'><label for='data-78c72289-795d-4693-a3f0-d820a41e10ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ancillary_variables :</span></dt><dd>velocity_beam1 time velocity_beam2</dd><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the eastward component of mean point seawater velocity in earth coordinates relative to true north (accounted for magnetic variation).</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLE_L1</dd><dt><span>long_name :</span></dt><dd>Eastward Mean Point Seawater Velocity</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_eastward_velocity_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa8ec3ad-206c-42b7-8853-5517017df7d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa8ec3ad-206c-42b7-8853-5517017df7d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31fb4c5b-0507-4b52-96fc-c4b52b495a6d' class='xr-var-data-in' type='checkbox'><label for='data-31fb4c5b-0507-4b52-96fc-c4b52b495a6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_eastward_velocity_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-daab4f69-418c-48b7-87e3-28ab5dd24e88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-daab4f69-418c-48b7-87e3-28ab5dd24e88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ff6837d-8522-4945-8596-80f8db8d5981' class='xr-var-data-in' type='checkbox'><label for='data-2ff6837d-8522-4945-8596-80f8db8d5981' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_northward_velocity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e85bd9e2-b413-496c-9030-6758196b6bdb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e85bd9e2-b413-496c-9030-6758196b6bdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15c9440b-05e0-447c-b733-509ffe3e8ff3' class='xr-var-data-in' type='checkbox'><label for='data-15c9440b-05e0-447c-b733-509ffe3e8ff3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ancillary_variables :</span></dt><dd>velocity_beam1 time velocity_beam2</dd><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the northward component of mean point seawater velocity in earth coordinates relative to true north (accounted for magnetic variation).</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLN_L1</dd><dt><span>long_name :</span></dt><dd>Northward Mean Point Seawater Velocity</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_northward_velocity_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd7b9f7b-2952-4b67-97dd-4b515de10093' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd7b9f7b-2952-4b67-97dd-4b515de10093' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11744989-5ff3-4134-b9fc-8137cd6604a9' class='xr-var-data-in' type='checkbox'><label for='data-11744989-5ff3-4134-b9fc-8137cd6604a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_northward_velocity_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f50032e9-a306-4a06-bc2c-76a9590f47df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f50032e9-a306-4a06-bc2c-76a9590f47df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db7867da-081a-468a-b00e-24e39b3f984f' class='xr-var-data-in' type='checkbox'><label for='data-db7867da-081a-468a-b00e-24e39b3f984f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_upward_velocity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56e2db1c-99d1-46ae-8c89-e9bd58703f3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56e2db1c-99d1-46ae-8c89-e9bd58703f3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb0d4665-94a0-44f8-a250-8aaeb6b4e37f' class='xr-var-data-in' type='checkbox'><label for='data-bb0d4665-94a0-44f8-a250-8aaeb6b4e37f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ancillary_variables :</span></dt><dd>velocity_beam3</dd><dt><span>comment :</span></dt><dd>Mean Point Seawater Velocity refers to the velocity (speed and direction) of a single &quot;point&quot; of water (in this case, a volume of several square meters) averaged over time-scales associated with surface gravity waves. This instrument estimates water velocity by measuring the Doppler shift of acoustic signals reflected by particles suspended in the water. This data product is the upward component of mean point seawater velocity.</dd><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>data_product_identifier :</span></dt><dd>VELPTMN-VLU_L1</dd><dt><span>long_name :</span></dt><dd>Upward Mean Point Seawater Velocity</dd><dt><span>precision :</span></dt><dd>3</dd><dt><span>standard_name :</span></dt><dd>upward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_upward_velocity_qc_executed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00c1a3a5-9d6b-4f7b-9d26-c4537c9f1512' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00c1a3a5-9d6b-4f7b-9d26-c4537c9f1512' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1abddaa4-cfc6-4241-891f-181f8a988888' class='xr-var-data-in' type='checkbox'><label for='data-1abddaa4-cfc6-4241-891f-181f8a988888' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Executed</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velpt_d_upward_velocity_qc_results</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00d76b66-ea63-4d0a-ad9f-0cd8779f6dd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00d76b66-ea63-4d0a-ad9f-0cd8779f6dd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85d8296f-e315-403a-acc1-5258dfe5660e' class='xr-var-data-in' type='checkbox'><label for='data-85d8296f-e315-403a-acc1-5258dfe5660e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinates :</span></dt><dd>lat depth lon time</dd><dt><span>long_name :</span></dt><dd>QC Checks Results</dd></dl></div><div class='xr-var-data'><pre>[29325960 values with dtype=uint8]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-51ce151f-d9b7-4754-a25b-4e8b2c266e45' class='xr-section-summary-in' type='checkbox'  ><label for='section-51ce151f-d9b7-4754-a25b-4e8b2c266e45' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f9af3ee1-e2f5-4e08-b257-ddcc31a31ea9' class='xr-index-data-in' type='checkbox'/><label for='index-f9af3ee1-e2f5-4e08-b257-ddcc31a31ea9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00.527429120&#x27;,\n",
        "               &#x27;2022-01-01 00:00:01.527426048&#x27;,\n",
        "               &#x27;2022-01-01 00:00:02.527426048&#x27;,\n",
        "               &#x27;2022-01-01 00:00:03.527422976&#x27;,\n",
@@ -1708,7 +1699,7 @@
        "               &#x27;2022-12-31 23:59:57.845967360&#x27;,\n",
        "               &#x27;2022-12-31 23:59:58.845957120&#x27;,\n",
        "               &#x27;2022-12-31 23:59:59.845964288&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=29325960, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03780237-f4e4-4c92-b8dc-a8a063c6566d' class='xr-section-summary-in' type='checkbox'  ><label for='section-03780237-f4e4-4c92-b8dc-a8a063c6566d' class='xr-section-summary' >Attributes: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>AssetManagementRecordLastModified :</span></dt><dd>2024-07-04T16:24:19.204000</dd><dt><span>AssetUniqueID :</span></dt><dd>ATAPL-70114-00004</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>Description :</span></dt><dd>Single Point Velocity Meter: VELPT Series D</dd><dt><span>FirmwareVersion :</span></dt><dd>Not specified.</dd><dt><span>Manufacturer :</span></dt><dd>Nortek</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Mobile :</span></dt><dd>False</dd><dt><span>ModelNumber :</span></dt><dd>Aquadopp</dd><dt><span>Notes :</span></dt><dd>This netCDF product is a copy of the data on the University of Washington AWS Cloud Infrastructure.</dd><dt><span>Owner :</span></dt><dd>University of Washington Cabled Array Value Add Team.</dd><dt><span>RemoteResources :</span></dt><dd>[]</dd><dt><span>SerialNumber :</span></dt><dd>AQS-6802/AQD 11930</dd><dt><span>ShelfLifeExpirationDate :</span></dt><dd>Not specified.</dd><dt><span>SoftwareVersion :</span></dt><dd>Not specified.</dd><dt><span>cdm_data_type :</span></dt><dd>Point</dd><dt><span>collection_method :</span></dt><dd>streamed</dd><dt><span>comment :</span></dt><dd>Some of the metadata of this dataset has been modified to be CF-1.6 compliant.</dd><dt><span>creator_name :</span></dt><dd>Ocean Observatories Initiative</dd><dt><span>creator_url :</span></dt><dd>http://oceanobservatories.org/</dd><dt><span>date_created :</span></dt><dd>2024-07-09T11:16:06.299233</dd><dt><span>date_downloaded :</span></dt><dd>2024-07-09T11:15:57.016603</dd><dt><span>date_modified :</span></dt><dd>2024-07-09T11:16:06.299236</dd><dt><span>date_processed :</span></dt><dd>2024-07-09T11:21:04.391531</dd><dt><span>featureType :</span></dt><dd>point</dd><dt><span>geospatial_lat_max :</span></dt><dd>44.515161</dd><dt><span>geospatial_lat_min :</span></dt><dd>44.515161</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.1</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>-125.389899</dd><dt><span>geospatial_lon_min :</span></dt><dd>-125.389899</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.1</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>down</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0.1</dd><dt><span>geospatial_vertical_units :</span></dt><dd>meters</dd><dt><span>history :</span></dt><dd>2024-07-09T11:16:06.299198 generated from Stream Engine</dd><dt><span>id :</span></dt><dd>RS01SBPS-SF01A-4B-VELPTD102-streamed-velpt_velocity_data</dd><dt><span>infoUrl :</span></dt><dd>http://oceanobservatories.org/</dd><dt><span>institution :</span></dt><dd>Ocean Observatories Initiative</dd><dt><span>keywords :</span></dt><dd></dd><dt><span>keywords_vocabulary :</span></dt><dd></dd><dt><span>license :</span></dt><dd></dd><dt><span>naming_authority :</span></dt><dd>org.oceanobservatories</dd><dt><span>nodc_template_version :</span></dt><dd>NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1</dd><dt><span>node :</span></dt><dd>SF01A</dd><dt><span>processing_level :</span></dt><dd>L2</dd><dt><span>project :</span></dt><dd>Ocean Observatories Initiative</dd><dt><span>publisher_email :</span></dt><dd></dd><dt><span>publisher_name :</span></dt><dd>Ocean Observatories Initiative</dd><dt><span>publisher_url :</span></dt><dd>http://oceanobservatories.org/</dd><dt><span>references :</span></dt><dd>More information can be found at http://oceanobservatories.org/</dd><dt><span>sensor :</span></dt><dd>4B-VELPTD102</dd><dt><span>source :</span></dt><dd>RS01SBPS-SF01A-4B-VELPTD102-streamed-velpt_velocity_data</dd><dt><span>sourceUrl :</span></dt><dd>http://oceanobservatories.org/</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29</dd><dt><span>stream :</span></dt><dd>velpt_velocity_data</dd><dt><span>subsite :</span></dt><dd>RS01SBPS</dd><dt><span>summary :</span></dt><dd>Dataset Generated by Stream Engine from Ocean Observatories Initiative</dd><dt><span>time_coverage_end :</span></dt><dd>2024-07-09T11:15:53.441897472</dd><dt><span>time_coverage_start :</span></dt><dd>2014-10-06T23:32:22.570285568</dd><dt><span>title :</span></dt><dd>Data produced by Stream Engine version 1.20.8 for RS01SBPS-SF01A-4B-VELPTD102-streamed-velpt_velocity_data</dd></dl></div></li></ul></div></div>"
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=29325960, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-753a7701-5424-4245-b3e4-0e58606eab71' class='xr-section-summary-in' type='checkbox'  ><label for='section-753a7701-5424-4245-b3e4-0e58606eab71' class='xr-section-summary' >Attributes: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>AssetManagementRecordLastModified :</span></dt><dd>2024-07-04T16:24:19.204000</dd><dt><span>AssetUniqueID :</span></dt><dd>ATAPL-70114-00004</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>Description :</span></dt><dd>Single Point Velocity Meter: VELPT Series D</dd><dt><span>FirmwareVersion :</span></dt><dd>Not specified.</dd><dt><span>Manufacturer :</span></dt><dd>Nortek</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Mobile :</span></dt><dd>False</dd><dt><span>ModelNumber :</span></dt><dd>Aquadopp</dd><dt><span>Notes :</span></dt><dd>This netCDF product is a copy of the data on the University of Washington AWS Cloud Infrastructure.</dd><dt><span>Owner :</span></dt><dd>University of Washington Cabled Array Value Add Team.</dd><dt><span>RemoteResources :</span></dt><dd>[]</dd><dt><span>SerialNumber :</span></dt><dd>AQS-6802/AQD 11930</dd><dt><span>ShelfLifeExpirationDate :</span></dt><dd>Not specified.</dd><dt><span>SoftwareVersion :</span></dt><dd>Not specified.</dd><dt><span>cdm_data_type :</span></dt><dd>Point</dd><dt><span>collection_method :</span></dt><dd>streamed</dd><dt><span>comment :</span></dt><dd>Some of the metadata of this dataset has been modified to be CF-1.6 compliant.</dd><dt><span>creator_name :</span></dt><dd>Ocean Observatories Initiative</dd><dt><span>creator_url :</span></dt><dd>http://oceanobservatories.org/</dd><dt><span>date_created :</span></dt><dd>2024-07-15T11:16:34.808110</dd><dt><span>date_downloaded :</span></dt><dd>2024-07-15T11:16:03.656504</dd><dt><span>date_modified :</span></dt><dd>2024-07-15T11:16:34.808112</dd><dt><span>date_processed :</span></dt><dd>2024-07-15T11:21:11.506568</dd><dt><span>featureType :</span></dt><dd>point</dd><dt><span>geospatial_lat_max :</span></dt><dd>44.515161</dd><dt><span>geospatial_lat_min :</span></dt><dd>44.515161</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.1</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>-125.389899</dd><dt><span>geospatial_lon_min :</span></dt><dd>-125.389899</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.1</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>down</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0.1</dd><dt><span>geospatial_vertical_units :</span></dt><dd>meters</dd><dt><span>history :</span></dt><dd>2024-07-15T11:16:34.808076 generated from Stream Engine</dd><dt><span>id :</span></dt><dd>RS01SBPS-SF01A-4B-VELPTD102-streamed-velpt_velocity_data</dd><dt><span>infoUrl :</span></dt><dd>http://oceanobservatories.org/</dd><dt><span>institution :</span></dt><dd>Ocean Observatories Initiative</dd><dt><span>keywords :</span></dt><dd></dd><dt><span>keywords_vocabulary :</span></dt><dd></dd><dt><span>license :</span></dt><dd></dd><dt><span>naming_authority :</span></dt><dd>org.oceanobservatories</dd><dt><span>nodc_template_version :</span></dt><dd>NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1</dd><dt><span>node :</span></dt><dd>SF01A</dd><dt><span>processing_level :</span></dt><dd>L2</dd><dt><span>project :</span></dt><dd>Ocean Observatories Initiative</dd><dt><span>publisher_email :</span></dt><dd></dd><dt><span>publisher_name :</span></dt><dd>Ocean Observatories Initiative</dd><dt><span>publisher_url :</span></dt><dd>http://oceanobservatories.org/</dd><dt><span>references :</span></dt><dd>More information can be found at http://oceanobservatories.org/</dd><dt><span>sensor :</span></dt><dd>4B-VELPTD102</dd><dt><span>source :</span></dt><dd>RS01SBPS-SF01A-4B-VELPTD102-streamed-velpt_velocity_data</dd><dt><span>sourceUrl :</span></dt><dd>http://oceanobservatories.org/</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29</dd><dt><span>stream :</span></dt><dd>velpt_velocity_data</dd><dt><span>subsite :</span></dt><dd>RS01SBPS</dd><dt><span>summary :</span></dt><dd>Dataset Generated by Stream Engine from Ocean Observatories Initiative</dd><dt><span>time_coverage_end :</span></dt><dd>2024-07-15T11:16:01.879897600</dd><dt><span>time_coverage_start :</span></dt><dd>2014-10-06T23:32:22.570285568</dd><dt><span>title :</span></dt><dd>Data produced by Stream Engine version 1.20.8 for RS01SBPS-SF01A-4B-VELPTD102-streamed-velpt_velocity_data</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1740,12 +1731,12 @@
        "    stream:                             velpt_velocity_data\n",
        "    subsite:                            RS01SBPS\n",
        "    summary:                            Dataset Generated by Stream Engine fr...\n",
-       "    time_coverage_end:                  2024-07-09T11:15:53.441897472\n",
+       "    time_coverage_end:                  2024-07-15T11:16:01.879897600\n",
        "    time_coverage_start:                2014-10-06T23:32:22.570285568\n",
        "    title:                              Data produced by Stream Engine versio..."
       ]
      },
-     "execution_count": 15,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1777,7 +1768,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 21,
    "id": "065f320a-a80c-420b-8440-cfef842a599a",
    "metadata": {},
    "outputs": [
@@ -1855,7 +1846,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 22,
    "id": "129d7553-1fbc-4bd3-aed5-a21583f02e29",
    "metadata": {
     "tags": []
@@ -1910,7 +1901,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 23,
    "id": "b0346a35-7345-4da8-822a-fe1bcdbb6f76",
    "metadata": {},
    "outputs": [