diff --git a/docs/visualization/titiler/titiler-cmr/summarize-netcdf4-results.ipynb b/docs/visualization/titiler/titiler-cmr/summarize-netcdf4-results.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "34f1dfd4",
+   "metadata": {},
+   "source": [
+    "# Summarizing NetCDF-4 compatibility\n",
+    "\n",
+    "In the last step, we ran a compatibility check to see if the variables in NetCDF-4 collections in NASA CMR are compatible with TiTiler-CMR. In this notebook, we summarize the results.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e4f9f08c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f56c4881",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_read = pd.read_csv(\"output/compatibility_report_netcdf4_2025-10-06_10-04-53.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "56ebf989",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>concept_id</th>\n",
+       "      <th>short_name</th>\n",
+       "      <th>entry_title</th>\n",
+       "      <th>provider_id</th>\n",
+       "      <th>begin_time</th>\n",
+       "      <th>end_time</th>\n",
+       "      <th>west</th>\n",
+       "      <th>south</th>\n",
+       "      <th>east</th>\n",
+       "      <th>north</th>\n",
+       "      <th>links</th>\n",
+       "      <th>variables</th>\n",
+       "      <th>status</th>\n",
+       "      <th>error</th>\n",
+       "      <th>scheme</th>\n",
+       "      <th>compatible</th>\n",
+       "      <th>compat_error</th>\n",
+       "      <th>status_code</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>75</th>\n",
+       "      <td>C3177839243-NSIDC_CPRD</td>\n",
+       "      <td>NSIDC-0630</td>\n",
+       "      <td>MEaSUREs Calibrated Enhanced-Resolution Passiv...</td>\n",
+       "      <td>NSIDC_CPRD</td>\n",
+       "      <td>1978-10-25T00:00:00.000Z</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-180.0</td>\n",
+       "      <td>-90.0</td>\n",
+       "      <td>180.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>https://data.nsidc.earthdatacloud.nasa.gov/nsi...</td>\n",
+       "      <td>['crs', 'TB', 'TB_num_samples', 'Incidence_ang...</td>\n",
+       "      <td>ok</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>https</td>\n",
+       "      <td>True</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                concept_id  short_name  \\\n",
+       "75  C3177839243-NSIDC_CPRD  NSIDC-0630   \n",
+       "\n",
+       "                                          entry_title provider_id  \\\n",
+       "75  MEaSUREs Calibrated Enhanced-Resolution Passiv...  NSIDC_CPRD   \n",
+       "\n",
+       "                  begin_time end_time   west  south   east  north  \\\n",
+       "75  1978-10-25T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
+       "\n",
+       "                                                links  \\\n",
+       "75  https://data.nsidc.earthdatacloud.nasa.gov/nsi...   \n",
+       "\n",
+       "                                            variables status error scheme  \\\n",
+       "75  ['crs', 'TB', 'TB_num_samples', 'Incidence_ang...     ok   NaN  https   \n",
+       "\n",
+       "    compatible compat_error  status_code  \n",
+       "75        True          NaN          NaN  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "concept_id_to_find = \"C3177839243-NSIDC_CPRD\"\n",
+    "\n",
+    "matching_rows = df_read[df_read[\"concept_id\"] == concept_id_to_find]\n",
+    "matching_rows"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "208a0fdf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>concept_id</th>\n",
+       "      <th>short_name</th>\n",
+       "      <th>entry_title</th>\n",
+       "      <th>provider_id</th>\n",
+       "      <th>begin_time</th>\n",
+       "      <th>end_time</th>\n",
+       "      <th>west</th>\n",
+       "      <th>south</th>\n",
+       "      <th>east</th>\n",
+       "      <th>north</th>\n",
+       "      <th>links</th>\n",
+       "      <th>variables</th>\n",
+       "      <th>status</th>\n",
+       "      <th>error</th>\n",
+       "      <th>scheme</th>\n",
+       "      <th>compatible</th>\n",
+       "      <th>compat_error</th>\n",
+       "      <th>status_code</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>C2105092163-LAADS</td>\n",
+       "      <td>VNP03IMG</td>\n",
+       "      <td>VIIRS/NPP Imagery Resolution Terrain Corrected...</td>\n",
+       "      <td>LAADS</td>\n",
+       "      <td>2012-01-19T00:00:00.000Z</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-180.0</td>\n",
+       "      <td>-90.0</td>\n",
+       "      <td>180.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>https://data.laadsdaac.earthdatacloud.nasa.gov...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>ok</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>https</td>\n",
+       "      <td>False</td>\n",
+       "      <td>No variable found</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>C2105091501-LAADS</td>\n",
+       "      <td>VNP02IMG</td>\n",
+       "      <td>VIIRS/NPP Imagery Resolution 6-Min L1B Swath 3...</td>\n",
+       "      <td>LAADS</td>\n",
+       "      <td>2012-01-19T00:00:00.000Z</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-180.0</td>\n",
+       "      <td>-90.0</td>\n",
+       "      <td>180.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>https://data.laadsdaac.earthdatacloud.nasa.gov...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>ok</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>https</td>\n",
+       "      <td>False</td>\n",
+       "      <td>No variable found</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>C1562021084-LAADS</td>\n",
+       "      <td>CLDMSK_L2_VIIRS_SNPP</td>\n",
+       "      <td>VIIRS/Suomi-NPP Cloud Mask 6-Min Swath 750 m</td>\n",
+       "      <td>LAADS</td>\n",
+       "      <td>2012-03-01T00:00:00.000Z</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-180.0</td>\n",
+       "      <td>-90.0</td>\n",
+       "      <td>180.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>https://data.laadsdaac.earthdatacloud.nasa.gov...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>ok</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>https</td>\n",
+       "      <td>False</td>\n",
+       "      <td>No variable found</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>C1964798938-LAADS</td>\n",
+       "      <td>CLDMSK_L2_VIIRS_NOAA20</td>\n",
+       "      <td>VIIRS/NOAA20 Cloud Mask and Spectral Test Resu...</td>\n",
+       "      <td>LAADS</td>\n",
+       "      <td>2012-03-01T00:00:00.000Z</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-180.0</td>\n",
+       "      <td>-90.0</td>\n",
+       "      <td>180.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>https://data.laadsdaac.earthdatacloud.nasa.gov...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>ok</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>https</td>\n",
+       "      <td>False</td>\n",
+       "      <td>No variable found</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>C1593392869-LAADS</td>\n",
+       "      <td>CLDMSK_L2_MODIS_Aqua</td>\n",
+       "      <td>MODIS/Aqua Cloud Mask 5-Min Swath 1000 m</td>\n",
+       "      <td>LAADS</td>\n",
+       "      <td>2002-07-04T00:00:00.000Z</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-180.0</td>\n",
+       "      <td>-90.0</td>\n",
+       "      <td>180.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>https://data.laadsdaac.earthdatacloud.nasa.gov...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>ok</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>https</td>\n",
+       "      <td>False</td>\n",
+       "      <td>No variable found</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          concept_id              short_name  \\\n",
+       "0  C2105092163-LAADS                VNP03IMG   \n",
+       "1  C2105091501-LAADS                VNP02IMG   \n",
+       "2  C1562021084-LAADS    CLDMSK_L2_VIIRS_SNPP   \n",
+       "3  C1964798938-LAADS  CLDMSK_L2_VIIRS_NOAA20   \n",
+       "4  C1593392869-LAADS    CLDMSK_L2_MODIS_Aqua   \n",
+       "\n",
+       "                                         entry_title provider_id  \\\n",
+       "0  VIIRS/NPP Imagery Resolution Terrain Corrected...       LAADS   \n",
+       "1  VIIRS/NPP Imagery Resolution 6-Min L1B Swath 3...       LAADS   \n",
+       "2       VIIRS/Suomi-NPP Cloud Mask 6-Min Swath 750 m       LAADS   \n",
+       "3  VIIRS/NOAA20 Cloud Mask and Spectral Test Resu...       LAADS   \n",
+       "4           MODIS/Aqua Cloud Mask 5-Min Swath 1000 m       LAADS   \n",
+       "\n",
+       "                 begin_time end_time   west  south   east  north  \\\n",
+       "0  2012-01-19T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
+       "1  2012-01-19T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
+       "2  2012-03-01T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
+       "3  2012-03-01T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
+       "4  2002-07-04T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
+       "\n",
+       "                                               links variables status error  \\\n",
+       "0  https://data.laadsdaac.earthdatacloud.nasa.gov...        []     ok   NaN   \n",
+       "1  https://data.laadsdaac.earthdatacloud.nasa.gov...        []     ok   NaN   \n",
+       "2  https://data.laadsdaac.earthdatacloud.nasa.gov...        []     ok   NaN   \n",
+       "3  https://data.laadsdaac.earthdatacloud.nasa.gov...        []     ok   NaN   \n",
+       "4  https://data.laadsdaac.earthdatacloud.nasa.gov...        []     ok   NaN   \n",
+       "\n",
+       "  scheme  compatible       compat_error  status_code  \n",
+       "0  https       False  No variable found          NaN  \n",
+       "1  https       False  No variable found          NaN  \n",
+       "2  https       False  No variable found          NaN  \n",
+       "3  https       False  No variable found          NaN  \n",
+       "4  https       False  No variable found          NaN  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "incompatible_collections = df_read[~df_read[\"compatible\"]]\n",
+    "incompatible_collections.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "a342267f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ nan, 400., 500., 504.])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_read[\"status_code\"].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "f6bba110",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 2400x1800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Compatibility Summary:\n",
+      "compatible\n",
+      "True     908\n",
+      "False    819\n",
+      "Name: count, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "compatibility_counts = df_read[\"compatible\"].value_counts()\n",
+    "\n",
+    "colors = [\"#2E86AB\", \"#E63946\"]  # Blue and Red-Orange\n",
+    "\n",
+    "plt.figure(figsize=(8, 6), dpi=300)\n",
+    "\n",
+    "# Create labels\n",
+    "labels = [\n",
+    "    f\"{'Compatible' if x else 'Incompatible'}\\n({compatibility_counts[x]} datasets)\"\n",
+    "    for x in compatibility_counts.index\n",
+    "]\n",
+    "\n",
+    "# Create the pie chart\n",
+    "wedges, texts, autotexts = plt.pie(\n",
+    "    compatibility_counts.values,\n",
+    "    labels=labels,\n",
+    "    autopct=\"%1.1f%%\",\n",
+    "    startangle=90,\n",
+    "    colors=colors,\n",
+    "    explode=(0.05, 0.05),\n",
+    "    textprops={\"fontsize\": 11, \"weight\": \"bold\"},\n",
+    "    wedgeprops={\"edgecolor\": \"white\", \"linewidth\": 2},\n",
+    ")\n",
+    "\n",
+    "for autotext in autotexts:\n",
+    "    autotext.set_color(\"white\")\n",
+    "    autotext.set_fontsize(12)\n",
+    "    autotext.set_weight(\"bold\")\n",
+    "\n",
+    "plt.title(\"Titiler-CMR Compatibility Status\", fontsize=16, fontweight=\"bold\", pad=20)\n",
+    "\n",
+    "plt.axis(\"equal\")\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "print(\"\\nCompatibility Summary:\")\n",
+    "print(compatibility_counts)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "fcefc327",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 3000x1800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Error Distribution:\n",
+      "status_code\n",
+      "500.0    121\n",
+      "400.0     46\n",
+      "504.0     21\n",
+      "Name: count, dtype: int64\n",
+      "\n",
+      "Total Errors: 188\n"
+     ]
+    }
+   ],
+   "source": [
+    "error_df = df_read[df_read[\"status_code\"].notna()]\n",
+    "status_counts = error_df[\"status_code\"].value_counts()\n",
+    "total_errors = sum(status_counts.values)\n",
+    "\n",
+    "colors = [\n",
+    "    \"#1f77b4\",\n",
+    "    \"#ff7f0e\",\n",
+    "    \"#2ca02c\",\n",
+    "    \"#d62728\",\n",
+    "    \"#9467bd\",\n",
+    "    \"#8c564b\",\n",
+    "    \"#e377c2\",\n",
+    "    \"#7f7f7f\",\n",
+    "    \"#bcbd22\",\n",
+    "    \"#17becf\",\n",
+    "]\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 6), dpi=300, facecolor=\"white\")\n",
+    "\n",
+    "bars = ax.bar(\n",
+    "    range(len(status_counts)),\n",
+    "    status_counts.values,\n",
+    "    color=[colors[i % len(colors)] for i in range(len(status_counts))],\n",
+    "    edgecolor=\"white\",\n",
+    "    linewidth=2,\n",
+    "    alpha=0.9,\n",
+    ")\n",
+    "\n",
+    "ax.set_xticks(range(len(status_counts)))\n",
+    "ax.set_xticklabels(\n",
+    "    status_counts.index, rotation=45, ha=\"right\", fontsize=11, fontweight=\"bold\"\n",
+    ")\n",
+    "\n",
+    "ax.set_ylabel(\"Count\", fontsize=13, fontweight=\"bold\", labelpad=10)\n",
+    "ax.set_xlabel(\"HTTP Status Code\", fontsize=13, fontweight=\"bold\", labelpad=10)\n",
+    "\n",
+    "ax.set_title(\n",
+    "    \"Titiler-CMR Incompatible Error Distribution\",\n",
+    "    fontsize=16,\n",
+    "    fontweight=\"bold\",\n",
+    "    pad=20,\n",
+    ")\n",
+    "\n",
+    "for spine in [\"top\", \"right\"]:\n",
+    "    ax.spines[spine].set_visible(False)\n",
+    "\n",
+    "for spine in [\"left\", \"bottom\"]:\n",
+    "    ax.spines[spine].set_edgecolor(\"#333333\")\n",
+    "    ax.spines[spine].set_linewidth(1.5)\n",
+    "\n",
+    "ax.grid(axis=\"y\", alpha=0.3, linestyle=\"--\", linewidth=1, color=\"#666666\")\n",
+    "ax.set_axisbelow(True)\n",
+    "\n",
+    "legend = ax.legend(\n",
+    "    [f\"Total Errors: {total_errors}\"],\n",
+    "    loc=\"upper right\",\n",
+    "    fontsize=11,\n",
+    "    frameon=True,\n",
+    "    shadow=False,\n",
+    "    fancybox=False,\n",
+    "    edgecolor=\"#333333\",\n",
+    "    facecolor=\"white\",\n",
+    "    framealpha=0.95,\n",
+    ")\n",
+    "\n",
+    "for i, (bar, v) in enumerate(zip(bars, status_counts.values)):\n",
+    "    height = bar.get_height()\n",
+    "    percentage = (v / total_errors) * 100\n",
+    "\n",
+    "    ax.text(\n",
+    "        bar.get_x() + bar.get_width() / 2.0,\n",
+    "        height + max(status_counts.values) * 0.02,\n",
+    "        f\"{v}\\n({percentage:.1f}%)\",\n",
+    "        ha=\"center\",\n",
+    "        va=\"bottom\",\n",
+    "        fontsize=10,\n",
+    "        fontweight=\"bold\",\n",
+    "        color=\"#333333\",\n",
+    "    )\n",
+    "\n",
+    "ax.set_ylim(0, max(status_counts.values) * 1.15)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "print(\"\\nError Distribution:\")\n",
+    "print(status_counts)\n",
+    "print(f\"\\nTotal Errors: {total_errors}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "21f51e33",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "datacube-guide",
+   "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": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/visualization/titiler/titiler-cmr/test-netcdf4-datasets.ipynb b/docs/visualization/titiler/titiler-cmr/test-netcdf4-datasets.ipynb
index b832f3c..12f1dc3 100644
--- a/docs/visualization/titiler/titiler-cmr/test-netcdf4-datasets.ipynb
+++ b/docs/visualization/titiler/titiler-cmr/test-netcdf4-datasets.ipynb
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "2105efe7-6e6c-4d1c-a713-b0ceabd40ae7",
    "metadata": {},
    "outputs": [],
@@ -180,557 +180,6 @@
     "df_read.to_csv(filename, index=False)\n",
     "print(f\"\\nCompatibility report created: {filename}\")"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "4d61240b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df_read = pd.read_csv(\"output/compatibility_report_netcdf4_2025-10-06_10-04-53.csv\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "415e9384-cb22-4449-b686-a0f313ac7252",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>concept_id</th>\n",
-       "      <th>short_name</th>\n",
-       "      <th>entry_title</th>\n",
-       "      <th>provider_id</th>\n",
-       "      <th>begin_time</th>\n",
-       "      <th>end_time</th>\n",
-       "      <th>west</th>\n",
-       "      <th>south</th>\n",
-       "      <th>east</th>\n",
-       "      <th>north</th>\n",
-       "      <th>links</th>\n",
-       "      <th>variables</th>\n",
-       "      <th>status</th>\n",
-       "      <th>error</th>\n",
-       "      <th>scheme</th>\n",
-       "      <th>compatible</th>\n",
-       "      <th>compat_error</th>\n",
-       "      <th>status_code</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>75</th>\n",
-       "      <td>C3177839243-NSIDC_CPRD</td>\n",
-       "      <td>NSIDC-0630</td>\n",
-       "      <td>MEaSUREs Calibrated Enhanced-Resolution Passiv...</td>\n",
-       "      <td>NSIDC_CPRD</td>\n",
-       "      <td>1978-10-25T00:00:00.000Z</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-180.0</td>\n",
-       "      <td>-90.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>https://data.nsidc.earthdatacloud.nasa.gov/nsi...</td>\n",
-       "      <td>['crs', 'TB', 'TB_num_samples', 'Incidence_ang...</td>\n",
-       "      <td>ok</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>https</td>\n",
-       "      <td>True</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                concept_id  short_name  \\\n",
-       "75  C3177839243-NSIDC_CPRD  NSIDC-0630   \n",
-       "\n",
-       "                                          entry_title provider_id  \\\n",
-       "75  MEaSUREs Calibrated Enhanced-Resolution Passiv...  NSIDC_CPRD   \n",
-       "\n",
-       "                  begin_time end_time   west  south   east  north  \\\n",
-       "75  1978-10-25T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
-       "\n",
-       "                                                links  \\\n",
-       "75  https://data.nsidc.earthdatacloud.nasa.gov/nsi...   \n",
-       "\n",
-       "                                            variables status error scheme  \\\n",
-       "75  ['crs', 'TB', 'TB_num_samples', 'Incidence_ang...     ok   NaN  https   \n",
-       "\n",
-       "    compatible compat_error  status_code  \n",
-       "75        True          NaN          NaN  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "concept_id_to_find = \"C3177839243-NSIDC_CPRD\"\n",
-    "\n",
-    "matching_rows = df_read[df_read[\"concept_id\"] == concept_id_to_find]\n",
-    "matching_rows"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "805de97b-f48b-492c-8ec4-aa9ff62daa34",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>concept_id</th>\n",
-       "      <th>short_name</th>\n",
-       "      <th>entry_title</th>\n",
-       "      <th>provider_id</th>\n",
-       "      <th>begin_time</th>\n",
-       "      <th>end_time</th>\n",
-       "      <th>west</th>\n",
-       "      <th>south</th>\n",
-       "      <th>east</th>\n",
-       "      <th>north</th>\n",
-       "      <th>links</th>\n",
-       "      <th>variables</th>\n",
-       "      <th>status</th>\n",
-       "      <th>error</th>\n",
-       "      <th>scheme</th>\n",
-       "      <th>compatible</th>\n",
-       "      <th>compat_error</th>\n",
-       "      <th>status_code</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>C2105092163-LAADS</td>\n",
-       "      <td>VNP03IMG</td>\n",
-       "      <td>VIIRS/NPP Imagery Resolution Terrain Corrected...</td>\n",
-       "      <td>LAADS</td>\n",
-       "      <td>2012-01-19T00:00:00.000Z</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-180.0</td>\n",
-       "      <td>-90.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>https://data.laadsdaac.earthdatacloud.nasa.gov...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>ok</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>https</td>\n",
-       "      <td>False</td>\n",
-       "      <td>No variable found</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>C2105091501-LAADS</td>\n",
-       "      <td>VNP02IMG</td>\n",
-       "      <td>VIIRS/NPP Imagery Resolution 6-Min L1B Swath 3...</td>\n",
-       "      <td>LAADS</td>\n",
-       "      <td>2012-01-19T00:00:00.000Z</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-180.0</td>\n",
-       "      <td>-90.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>https://data.laadsdaac.earthdatacloud.nasa.gov...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>ok</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>https</td>\n",
-       "      <td>False</td>\n",
-       "      <td>No variable found</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>C1562021084-LAADS</td>\n",
-       "      <td>CLDMSK_L2_VIIRS_SNPP</td>\n",
-       "      <td>VIIRS/Suomi-NPP Cloud Mask 6-Min Swath 750 m</td>\n",
-       "      <td>LAADS</td>\n",
-       "      <td>2012-03-01T00:00:00.000Z</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-180.0</td>\n",
-       "      <td>-90.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>https://data.laadsdaac.earthdatacloud.nasa.gov...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>ok</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>https</td>\n",
-       "      <td>False</td>\n",
-       "      <td>No variable found</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>C1964798938-LAADS</td>\n",
-       "      <td>CLDMSK_L2_VIIRS_NOAA20</td>\n",
-       "      <td>VIIRS/NOAA20 Cloud Mask and Spectral Test Resu...</td>\n",
-       "      <td>LAADS</td>\n",
-       "      <td>2012-03-01T00:00:00.000Z</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-180.0</td>\n",
-       "      <td>-90.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>https://data.laadsdaac.earthdatacloud.nasa.gov...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>ok</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>https</td>\n",
-       "      <td>False</td>\n",
-       "      <td>No variable found</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>C1593392869-LAADS</td>\n",
-       "      <td>CLDMSK_L2_MODIS_Aqua</td>\n",
-       "      <td>MODIS/Aqua Cloud Mask 5-Min Swath 1000 m</td>\n",
-       "      <td>LAADS</td>\n",
-       "      <td>2002-07-04T00:00:00.000Z</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-180.0</td>\n",
-       "      <td>-90.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>https://data.laadsdaac.earthdatacloud.nasa.gov...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>ok</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>https</td>\n",
-       "      <td>False</td>\n",
-       "      <td>No variable found</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          concept_id              short_name  \\\n",
-       "0  C2105092163-LAADS                VNP03IMG   \n",
-       "1  C2105091501-LAADS                VNP02IMG   \n",
-       "2  C1562021084-LAADS    CLDMSK_L2_VIIRS_SNPP   \n",
-       "3  C1964798938-LAADS  CLDMSK_L2_VIIRS_NOAA20   \n",
-       "4  C1593392869-LAADS    CLDMSK_L2_MODIS_Aqua   \n",
-       "\n",
-       "                                         entry_title provider_id  \\\n",
-       "0  VIIRS/NPP Imagery Resolution Terrain Corrected...       LAADS   \n",
-       "1  VIIRS/NPP Imagery Resolution 6-Min L1B Swath 3...       LAADS   \n",
-       "2       VIIRS/Suomi-NPP Cloud Mask 6-Min Swath 750 m       LAADS   \n",
-       "3  VIIRS/NOAA20 Cloud Mask and Spectral Test Resu...       LAADS   \n",
-       "4           MODIS/Aqua Cloud Mask 5-Min Swath 1000 m       LAADS   \n",
-       "\n",
-       "                 begin_time end_time   west  south   east  north  \\\n",
-       "0  2012-01-19T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
-       "1  2012-01-19T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
-       "2  2012-03-01T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
-       "3  2012-03-01T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
-       "4  2002-07-04T00:00:00.000Z      NaN -180.0  -90.0  180.0   90.0   \n",
-       "\n",
-       "                                               links variables status error  \\\n",
-       "0  https://data.laadsdaac.earthdatacloud.nasa.gov...        []     ok   NaN   \n",
-       "1  https://data.laadsdaac.earthdatacloud.nasa.gov...        []     ok   NaN   \n",
-       "2  https://data.laadsdaac.earthdatacloud.nasa.gov...        []     ok   NaN   \n",
-       "3  https://data.laadsdaac.earthdatacloud.nasa.gov...        []     ok   NaN   \n",
-       "4  https://data.laadsdaac.earthdatacloud.nasa.gov...        []     ok   NaN   \n",
-       "\n",
-       "  scheme  compatible       compat_error  status_code  \n",
-       "0  https       False  No variable found          NaN  \n",
-       "1  https       False  No variable found          NaN  \n",
-       "2  https       False  No variable found          NaN  \n",
-       "3  https       False  No variable found          NaN  \n",
-       "4  https       False  No variable found          NaN  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "incompatible_collections = df_read[~df_read[\"compatible\"]]\n",
-    "incompatible_collections.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "c836032c-ef65-4fab-9221-39d556e4e257",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ nan, 400., 500., 504.])"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_read[\"status_code\"].unique()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fed684fe-fe39-4174-a5c0-23e939dab119",
-   "metadata": {},
-   "source": [
-    "At this point, rerunning the above for 504 gateway timeouts does not hurt!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "4a23628d-1de8-4da8-a2a5-dbecf38eb520",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 2400x1800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "Compatibility Summary:\n",
-      "compatible\n",
-      "True     908\n",
-      "False    819\n",
-      "Name: count, dtype: int64\n"
-     ]
-    }
-   ],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "compatibility_counts = df_read[\"compatible\"].value_counts()\n",
-    "\n",
-    "colors = [\"#2E86AB\", \"#E63946\"]  # Blue and Red-Orange\n",
-    "\n",
-    "plt.figure(figsize=(8, 6), dpi=300)\n",
-    "\n",
-    "# Create labels\n",
-    "labels = [\n",
-    "    f\"{'Compatible' if x else 'Incompatible'}\\n({compatibility_counts[x]} datasets)\"\n",
-    "    for x in compatibility_counts.index\n",
-    "]\n",
-    "\n",
-    "# Create the pie chart\n",
-    "wedges, texts, autotexts = plt.pie(\n",
-    "    compatibility_counts.values,\n",
-    "    labels=labels,\n",
-    "    autopct=\"%1.1f%%\",\n",
-    "    startangle=90,\n",
-    "    colors=colors,\n",
-    "    explode=(0.05, 0.05),\n",
-    "    textprops={\"fontsize\": 11, \"weight\": \"bold\"},\n",
-    "    wedgeprops={\"edgecolor\": \"white\", \"linewidth\": 2},\n",
-    ")\n",
-    "\n",
-    "for autotext in autotexts:\n",
-    "    autotext.set_color(\"white\")\n",
-    "    autotext.set_fontsize(12)\n",
-    "    autotext.set_weight(\"bold\")\n",
-    "\n",
-    "plt.title(\"Titiler-CMR Compatibility Status\", fontsize=16, fontweight=\"bold\", pad=20)\n",
-    "\n",
-    "plt.axis(\"equal\")\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()\n",
-    "\n",
-    "print(\"\\nCompatibility Summary:\")\n",
-    "print(compatibility_counts)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "1e8555bd-206c-4e54-8e25-ee1c46fe4c64",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 3000x1800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "Error Distribution:\n",
-      "status_code\n",
-      "500.0    121\n",
-      "400.0     46\n",
-      "504.0     21\n",
-      "Name: count, dtype: int64\n",
-      "\n",
-      "Total Errors: 188\n"
-     ]
-    }
-   ],
-   "source": [
-    "error_df = df_read[df_read[\"status_code\"].notna()]\n",
-    "status_counts = error_df[\"status_code\"].value_counts()\n",
-    "total_errors = sum(status_counts.values)\n",
-    "\n",
-    "colors = [\n",
-    "    \"#1f77b4\",\n",
-    "    \"#ff7f0e\",\n",
-    "    \"#2ca02c\",\n",
-    "    \"#d62728\",\n",
-    "    \"#9467bd\",\n",
-    "    \"#8c564b\",\n",
-    "    \"#e377c2\",\n",
-    "    \"#7f7f7f\",\n",
-    "    \"#bcbd22\",\n",
-    "    \"#17becf\",\n",
-    "]\n",
-    "\n",
-    "fig, ax = plt.subplots(figsize=(10, 6), dpi=300, facecolor=\"white\")\n",
-    "\n",
-    "bars = ax.bar(\n",
-    "    range(len(status_counts)),\n",
-    "    status_counts.values,\n",
-    "    color=[colors[i % len(colors)] for i in range(len(status_counts))],\n",
-    "    edgecolor=\"white\",\n",
-    "    linewidth=2,\n",
-    "    alpha=0.9,\n",
-    ")\n",
-    "\n",
-    "ax.set_xticks(range(len(status_counts)))\n",
-    "ax.set_xticklabels(\n",
-    "    status_counts.index, rotation=45, ha=\"right\", fontsize=11, fontweight=\"bold\"\n",
-    ")\n",
-    "\n",
-    "ax.set_ylabel(\"Count\", fontsize=13, fontweight=\"bold\", labelpad=10)\n",
-    "ax.set_xlabel(\"HTTP Status Code\", fontsize=13, fontweight=\"bold\", labelpad=10)\n",
-    "\n",
-    "ax.set_title(\n",
-    "    \"Titiler-CMR Incompatible Error Distribution\",\n",
-    "    fontsize=16,\n",
-    "    fontweight=\"bold\",\n",
-    "    pad=20,\n",
-    ")\n",
-    "\n",
-    "for spine in [\"top\", \"right\"]:\n",
-    "    ax.spines[spine].set_visible(False)\n",
-    "\n",
-    "for spine in [\"left\", \"bottom\"]:\n",
-    "    ax.spines[spine].set_edgecolor(\"#333333\")\n",
-    "    ax.spines[spine].set_linewidth(1.5)\n",
-    "\n",
-    "ax.grid(axis=\"y\", alpha=0.3, linestyle=\"--\", linewidth=1, color=\"#666666\")\n",
-    "ax.set_axisbelow(True)\n",
-    "\n",
-    "legend = ax.legend(\n",
-    "    [f\"Total Errors: {total_errors}\"],\n",
-    "    loc=\"upper right\",\n",
-    "    fontsize=11,\n",
-    "    frameon=True,\n",
-    "    shadow=False,\n",
-    "    fancybox=False,\n",
-    "    edgecolor=\"#333333\",\n",
-    "    facecolor=\"white\",\n",
-    "    framealpha=0.95,\n",
-    ")\n",
-    "\n",
-    "for i, (bar, v) in enumerate(zip(bars, status_counts.values)):\n",
-    "    height = bar.get_height()\n",
-    "    percentage = (v / total_errors) * 100\n",
-    "\n",
-    "    ax.text(\n",
-    "        bar.get_x() + bar.get_width() / 2.0,\n",
-    "        height + max(status_counts.values) * 0.02,\n",
-    "        f\"{v}\\n({percentage:.1f}%)\",\n",
-    "        ha=\"center\",\n",
-    "        va=\"bottom\",\n",
-    "        fontsize=10,\n",
-    "        fontweight=\"bold\",\n",
-    "        color=\"#333333\",\n",
-    "    )\n",
-    "\n",
-    "ax.set_ylim(0, max(status_counts.values) * 1.15)\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()\n",
-    "\n",
-    "print(\"\\nError Distribution:\")\n",
-    "print(status_counts)\n",
-    "print(f\"\\nTotal Errors: {total_errors}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "29e62f20",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/mkdocs.yml b/mkdocs.yml
index 170fbf1..21fc6fe 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -39,6 +39,7 @@ nav:
           - "visualization/titiler/titiler-cmr/compatibility.ipynb"
           - "visualization/titiler/titiler-cmr/find-netcdf4-datasets.ipynb"
           - "visualization/titiler/titiler-cmr/test-netcdf4-datasets.ipynb"
+          - "visualization/titiler/titiler-cmr/summarize-netcdf4-results.ipynb"
 
   - API Reference:
     - Benchmarking: