diff --git a/environment.yml b/environment.yml
index 02e5160..9220b49 100644
--- a/environment.yml
+++ b/environment.yml
@@ -6,9 +6,9 @@ dependencies:
   - geopandas
   - h5py
   - ipykernel
-  - ipywidgets>=7.6,<8.0
-  - ipyleaflet>=0.15
-  - jupyterlab=3
+  - ipywidgets
+  - ipyleaflet
+  - jupyterlab
   - jupyterlab_widgets
   - matplotlib
   - ipympl
diff --git a/examples/arcticdem.ipynb b/examples/arcticdem.ipynb
new file mode 100644
index 0000000..d0f6a4c
--- /dev/null
+++ b/examples/arcticdem.ipynb
@@ -0,0 +1,148 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "acb12a75-1636-471a-9649-48a408801d4f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sliderule import icesat2\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib\n",
+    "import geopandas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b8167cbe-3fe3-4dc9-a5ad-0cbba51c8a07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "icesat2.init(\"localhost\", verbose=True, organization=None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "98ef750a-e88b-4125-b951-d1e29ce50ce2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "asset = \"nsidc-s3\"\n",
+    "resource = \"ATL03_20190314093716_11600203_005_01.h5\"\n",
+    "region = icesat2.toregion(\"../tests/data/dicksonfjord.geojson\")\n",
+    "parms = { \"poly\": region['poly'],\n",
+    "          \"cnf\": \"atl03_high\",\n",
+    "          \"ats\": 5.0,\n",
+    "          \"cnt\": 5,\n",
+    "          \"len\": 20.0,\n",
+    "          \"res\": 10.0,\n",
+    "          \"maxi\": 1,\n",
+    "          \"samples\": [\"arcticdem-mosaic\"] }\n",
+    "gdf = icesat2.atl06p(parms, asset=asset, resources=[resource])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d0ebba64-93ab-45c8-9c53-cc5078332617",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf[\"delta\"] = gdf[\"h_mean\"] - gdf[\"arcticdem-mosaic-1980-01-06\"]\n",
+    "gdf[\"delta\"].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "db8b0b39-b421-46c6-bb5f-7abc6b1168b7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Setup Plot\n",
+    "fig,ax = plt.subplots(num=None, figsize=(10, 8))\n",
+    "fig.set_facecolor('white')\n",
+    "fig.canvas.header_visible = False\n",
+    "ax.set_title(\"SlideRule vs. ArcticDEM Elevations\")\n",
+    "ax.set_xlabel('UTC')\n",
+    "ax.set_ylabel('height (m)')\n",
+    "legend_elements = []\n",
+    "\n",
+    "# Plot SlideRule ATL06 Elevations\n",
+    "df = gdf[(gdf['rgt'] == 1160) & (gdf['gt'] == 10) & (gdf['cycle'] == 2)]\n",
+    "sc1 = ax.scatter(df.index.values, df[\"h_mean\"].values, c='red', s=2.5)\n",
+    "legend_elements.append(matplotlib.lines.Line2D([0], [0], color='red', lw=6, label='ATL06-SR'))\n",
+    "\n",
+    "# Plot ArcticDEM Elevations\n",
+    "sc2 = ax.scatter(df.index.values, df[\"arcticdem-mosaic-1980-01-06\"].values, c='blue', s=2.5)\n",
+    "legend_elements.append(matplotlib.lines.Line2D([0], [0], color='blue', lw=6, label='ArcticDEM'))\n",
+    "\n",
+    "# Display Legend\n",
+    "lgd = ax.legend(handles=legend_elements, loc=3, frameon=True)\n",
+    "lgd.get_frame().set_alpha(1.0)\n",
+    "lgd.get_frame().set_edgecolor('white')\n",
+    "\n",
+    "# Show Plot\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "82c65e28-468e-463e-9afe-2b52064e7bae",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Setup Plot\n",
+    "fig,ax = plt.subplots(num=None, figsize=(10, 8))\n",
+    "fig.set_facecolor('white')\n",
+    "fig.canvas.header_visible = False\n",
+    "ax.set_title(\"Delta Elevations between SlideRule and ArcticDEM\")\n",
+    "ax.set_xlabel('UTC')\n",
+    "ax.set_ylabel('height (m)')\n",
+    "ax.yaxis.grid(True)\n",
+    "\n",
+    "# Plot Deltas\n",
+    "df = gdf[(gdf['rgt'] == 1160) & (gdf['gt'] == 10) & (gdf['cycle'] == 2)]\n",
+    "sc1 = ax.scatter(df.index.values, df[\"delta\"].values, c='green', s=2.5)\n",
+    "\n",
+    "# Show Plot\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eed8f243-dd0c-4473-a952-fcb2bb863e3c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.15"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}