diff --git a/openeo/NDVI_Timeseries.ipynb b/openeo/NDVI_Timeseries.ipynb
index 5762232..630991d 100644
--- a/openeo/NDVI_Timeseries.ipynb
+++ b/openeo/NDVI_Timeseries.ipynb
@@ -15,7 +15,7 @@
     "format:\n",
     "  html:\n",
     "    code-fold: false\n",
-    "jupyter: python3\n",
+    "jupyter: OpenEO\n",
     "---"
    ]
   },
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -82,7 +82,7 @@
        "<Connection to 'https://openeo.dataspace.copernicus.eu/openeo/1.2/' with OidcBearerAuth>"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -106,17 +106,16 @@
    "source": [
     "We want to calculate the NDVI values in a couple of fields in a time window of a couple of months.\n",
     "\n",
-    "For simplicty, we load the field geometries as an inline GeoJSON feature collection:"
+    "For simplicity, we load the field geometries as an inline GeoJSON feature collection:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
-    "fields = json.loads(\n",
-    "    \"\"\"{\n",
+    "fields = json.loads(\"\"\"{\n",
     "    \"type\": \"FeatureCollection\",\n",
     "    \"features\": [\n",
     "        {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.055945487931457, 51.222709834076504], [5.064972484168688, 51.221122565090525], [5.064972484168688, 51.221122565090525], [5.067474954083448, 51.218249806779134], [5.064827929485983, 51.21689628072789], [5.05917785594747, 51.217191909908095], [5.053553857094518, 51.21807492332223], [5.055945487931457, 51.222709834076504]]]}}, \n",
@@ -124,8 +123,7 @@
     "        {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.07163184674986, 51.23481147556147], [5.076706025697324, 51.23317590781036], [5.077828303041866, 51.233226237184724], [5.078024733866917, 51.23263978271262], [5.080771081607657, 51.23259097170763], [5.083734842574312, 51.23530464074437], [5.080957826735458, 51.23646091560258], [5.079752631651647, 51.23519531038643], [5.077238400183506, 51.23490534677628], [5.072856439300575, 51.23593546777778], [5.07163184674986, 51.23481147556147]]]}}, \n",
     "        {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.083897244679042, 51.23510639883143], [5.081302408741335, 51.232922477780846], [5.082963802194108, 51.233146058575876], [5.084497702305552, 51.232672717580655], [5.085732850338428, 51.2340852086282], [5.083897244679042, 51.23510639883143]]]}}\n",
     "    ]}\n",
-    "\"\"\"\n",
-    ")"
+    "\"\"\")"
    ]
   },
   {
@@ -137,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -161,7 +159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -180,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -197,7 +195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -219,15 +217,15 @@
        "    }\n",
        "    </script>\n",
        "    <openeo-model-builder>\n",
-       "        <script type=\"application/json\">{\"id\": \"2234b9ab74b44c93b7fe3e2e1725b274\", \"explicit-zoom\": true, \"height\": \"400px\", \"value\": {\"process_graph\": {\"loadcollection1\": {\"process_id\": \"load_collection\", \"arguments\": {\"bands\": [\"B04\", \"B08\"], \"id\": \"SENTINEL2_L2A\", \"spatial_extent\": null, \"temporal_extent\": [\"2020-06-01\", \"2020-10-01\"]}}, \"ndvi1\": {\"process_id\": \"ndvi\", \"arguments\": {\"data\": {\"from_node\": \"loadcollection1\"}}}, \"aggregatespatial1\": {\"process_id\": \"aggregate_spatial\", \"arguments\": {\"data\": {\"from_node\": \"ndvi1\"}, \"geometries\": {\"type\": \"FeatureCollection\", \"features\": [{\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.055945487931457, 51.222709834076504], [5.064972484168688, 51.221122565090525], [5.064972484168688, 51.221122565090525], [5.067474954083448, 51.218249806779134], [5.064827929485983, 51.21689628072789], [5.05917785594747, 51.217191909908095], [5.053553857094518, 51.21807492332223], [5.055945487931457, 51.222709834076504]]]}}, {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.063345886679116, 51.23087606640057], [5.06604742694687, 51.22886710731809], [5.070627820472246, 51.22874440121892], [5.068403609708207, 51.22657208381529], [5.064823257492447, 51.22676051738515], [5.064892324615199, 51.2283032878514], [5.063641745941974, 51.2285757299238], [5.062340811262595, 51.227722351687945], [5.06076005158084, 51.228042312276536], [5.063345886679116, 51.23087606640057]]]}}, {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.07163184674986, 51.23481147556147], [5.076706025697324, 51.23317590781036], [5.077828303041866, 51.233226237184724], [5.078024733866917, 51.23263978271262], [5.080771081607657, 51.23259097170763], [5.083734842574312, 51.23530464074437], [5.080957826735458, 51.23646091560258], [5.079752631651647, 51.23519531038643], [5.077238400183506, 51.23490534677628], [5.072856439300575, 51.23593546777778], [5.07163184674986, 51.23481147556147]]]}}, {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.083897244679042, 51.23510639883143], [5.081302408741335, 51.232922477780846], [5.082963802194108, 51.233146058575876], [5.084497702305552, 51.232672717580655], [5.085732850338428, 51.2340852086282], [5.083897244679042, 51.23510639883143]]]}}]}, \"reducer\": {\"process_graph\": {\"mean1\": {\"process_id\": \"mean\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}}, \"result\": true}}}}, \"result\": true}}}}</script>\n",
+       "        <script type=\"application/json\">{\"id\": \"e491b9bd2656437bb26b2acb9d8fd7f1\", \"explicit-zoom\": true, \"height\": \"400px\", \"value\": {\"process_graph\": {\"loadcollection1\": {\"process_id\": \"load_collection\", \"arguments\": {\"bands\": [\"B04\", \"B08\"], \"id\": \"SENTINEL2_L2A\", \"spatial_extent\": null, \"temporal_extent\": [\"2020-06-01\", \"2020-10-01\"]}}, \"reducedimension1\": {\"process_id\": \"reduce_dimension\", \"arguments\": {\"data\": {\"from_node\": \"loadcollection1\"}, \"dimension\": \"bands\", \"reducer\": {\"process_graph\": {\"arrayelement1\": {\"process_id\": \"array_element\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}, \"index\": 1}}, \"arrayelement2\": {\"process_id\": \"array_element\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}, \"index\": 0}}, \"subtract1\": {\"process_id\": \"subtract\", \"arguments\": {\"x\": {\"from_node\": \"arrayelement1\"}, \"y\": {\"from_node\": \"arrayelement2\"}}}, \"add1\": {\"process_id\": \"add\", \"arguments\": {\"x\": {\"from_node\": \"arrayelement1\"}, \"y\": {\"from_node\": \"arrayelement2\"}}}, \"divide1\": {\"process_id\": \"divide\", \"arguments\": {\"x\": {\"from_node\": \"subtract1\"}, \"y\": {\"from_node\": \"add1\"}}, \"result\": true}}}}}, \"aggregatespatial1\": {\"process_id\": \"aggregate_spatial\", \"arguments\": {\"data\": {\"from_node\": \"reducedimension1\"}, \"geometries\": {\"type\": \"FeatureCollection\", \"features\": [{\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.055945487931457, 51.222709834076504], [5.064972484168688, 51.221122565090525], [5.064972484168688, 51.221122565090525], [5.067474954083448, 51.218249806779134], [5.064827929485983, 51.21689628072789], [5.05917785594747, 51.217191909908095], [5.053553857094518, 51.21807492332223], [5.055945487931457, 51.222709834076504]]]}}, {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.063345886679116, 51.23087606640057], [5.06604742694687, 51.22886710731809], [5.070627820472246, 51.22874440121892], [5.068403609708207, 51.22657208381529], [5.064823257492447, 51.22676051738515], [5.064892324615199, 51.2283032878514], [5.063641745941974, 51.2285757299238], [5.062340811262595, 51.227722351687945], [5.06076005158084, 51.228042312276536], [5.063345886679116, 51.23087606640057]]]}}, {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.07163184674986, 51.23481147556147], [5.076706025697324, 51.23317590781036], [5.077828303041866, 51.233226237184724], [5.078024733866917, 51.23263978271262], [5.080771081607657, 51.23259097170763], [5.083734842574312, 51.23530464074437], [5.080957826735458, 51.23646091560258], [5.079752631651647, 51.23519531038643], [5.077238400183506, 51.23490534677628], [5.072856439300575, 51.23593546777778], [5.07163184674986, 51.23481147556147]]]}}, {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[5.083897244679042, 51.23510639883143], [5.081302408741335, 51.232922477780846], [5.082963802194108, 51.233146058575876], [5.084497702305552, 51.232672717580655], [5.085732850338428, 51.2340852086282], [5.083897244679042, 51.23510639883143]]]}}]}, \"reducer\": {\"process_graph\": {\"mean1\": {\"process_id\": \"mean\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}}, \"result\": true}}}}, \"result\": true}}}}</script>\n",
        "    </openeo-model-builder>\n",
        "    "
       ],
       "text/plain": [
-       "<openeo.rest.vectorcube.VectorCube at 0x7f3f605023d0>"
+       "<openeo.rest.vectorcube.VectorCube at 0x7f4d890e6510>"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -238,25 +236,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0:00:00 Job 'j-24112807a01142b9bf28924a3083984a': send 'start'\n",
-      "0:00:13 Job 'j-24112807a01142b9bf28924a3083984a': created (progress 0%)\n",
-      "0:00:18 Job 'j-24112807a01142b9bf28924a3083984a': created (progress 0%)\n",
-      "0:00:25 Job 'j-24112807a01142b9bf28924a3083984a': created (progress 0%)\n",
-      "0:00:33 Job 'j-24112807a01142b9bf28924a3083984a': created (progress 0%)\n",
-      "0:00:43 Job 'j-24112807a01142b9bf28924a3083984a': created (progress 0%)\n",
-      "0:00:55 Job 'j-24112807a01142b9bf28924a3083984a': running (progress N/A)\n",
-      "0:01:11 Job 'j-24112807a01142b9bf28924a3083984a': running (progress N/A)\n",
-      "0:01:30 Job 'j-24112807a01142b9bf28924a3083984a': running (progress N/A)\n",
-      "0:01:54 Job 'j-24112807a01142b9bf28924a3083984a': running (progress N/A)\n",
-      "0:02:24 Job 'j-24112807a01142b9bf28924a3083984a': running (progress N/A)\n",
-      "0:03:01 Job 'j-24112807a01142b9bf28924a3083984a': finished (progress 100%)\n"
+      "0:00:00 Job 'j-26033009355448f2ad441c81bed9427f': send 'start'\n",
+      "0:00:17 Job 'j-26033009355448f2ad441c81bed9427f': created (progress 0%)\n",
+      "0:00:22 Job 'j-26033009355448f2ad441c81bed9427f': created (progress 0%)\n",
+      "0:00:28 Job 'j-26033009355448f2ad441c81bed9427f': created (progress 0%)\n",
+      "0:00:36 Job 'j-26033009355448f2ad441c81bed9427f': created (progress 0%)\n",
+      "0:00:46 Job 'j-26033009355448f2ad441c81bed9427f': created (progress 0%)\n",
+      "0:00:59 Job 'j-26033009355448f2ad441c81bed9427f': created (progress 0%)\n",
+      "0:01:14 Job 'j-26033009355448f2ad441c81bed9427f': running (progress N/A)\n",
+      "0:01:34 Job 'j-26033009355448f2ad441c81bed9427f': running (progress N/A)\n",
+      "0:01:58 Job 'j-26033009355448f2ad441c81bed9427f': running (progress N/A)\n",
+      "0:02:28 Job 'j-26033009355448f2ad441c81bed9427f': running (progress N/A)\n"
      ]
     }
    ],
@@ -273,84 +270,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "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>feature_index</th>\n",
-       "      <th>band_unnamed</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2020-06-26T00:00:00.000Z</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.568689</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-06-26T00:00:00.000Z</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.620581</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-06-24T00:00:00.000Z</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.667860</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-06-26T00:00:00.000Z</th>\n",
-       "      <td>2</td>\n",
-       "      <td>0.652666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-06-26T00:00:00.000Z</th>\n",
-       "      <td>3</td>\n",
-       "      <td>0.797960</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                          feature_index  band_unnamed\n",
-       "date                                                 \n",
-       "2020-06-26T00:00:00.000Z              0      0.568689\n",
-       "2020-06-26T00:00:00.000Z              1      0.620581\n",
-       "2020-06-24T00:00:00.000Z              0      0.667860\n",
-       "2020-06-26T00:00:00.000Z              2      0.652666\n",
-       "2020-06-26T00:00:00.000Z              3      0.797960"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "job.get_results().download_file(\"ndvi-results/timeseries-basic.csv\")\n",
     "pd.read_csv(\"ndvi-results/timeseries-basic.csv\", index_col=0).head()"
@@ -372,7 +294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -390,20 +312,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 540x270 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plot_timeseries(\"ndvi-results/timeseries-basic.csv\")"
    ]
@@ -418,12 +329,12 @@
     "\n",
     "There are quite some outliers because we didn't filter out cloudy observations or pixels.\n",
     "We can use the \"SCL\" (scene classification) band from the \"SENTINEL2_L2A\" collection to focus on non-cloud pixels.\n",
-    "Let's load an \"SENTINEL2_L2A\" data cube again, with the additional \"SCL\" band, and calculate the NDVI like before:"
+    "Let's load a \"SENTINEL2_L2A\" data cube again, with the additional \"SCL\" band, and calculate the NDVI like before:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -447,7 +358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -465,7 +376,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -488,7 +399,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -498,70 +409,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0:00:00 Job 'j-241128c858594219beb03b3a98fe9328': send 'start'\n",
-      "0:00:13 Job 'j-241128c858594219beb03b3a98fe9328': created (progress 0%)\n",
-      "0:00:18 Job 'j-241128c858594219beb03b3a98fe9328': created (progress 0%)\n",
-      "0:00:25 Job 'j-241128c858594219beb03b3a98fe9328': created (progress 0%)\n",
-      "0:00:33 Job 'j-241128c858594219beb03b3a98fe9328': created (progress 0%)\n",
-      "0:00:43 Job 'j-241128c858594219beb03b3a98fe9328': created (progress 0%)\n",
-      "0:00:55 Job 'j-241128c858594219beb03b3a98fe9328': created (progress 0%)\n",
-      "0:01:11 Job 'j-241128c858594219beb03b3a98fe9328': running (progress N/A)\n",
-      "0:01:30 Job 'j-241128c858594219beb03b3a98fe9328': running (progress N/A)\n",
-      "0:01:54 Job 'j-241128c858594219beb03b3a98fe9328': running (progress N/A)\n",
-      "0:02:24 Job 'j-241128c858594219beb03b3a98fe9328': running (progress N/A)\n",
-      "0:03:02 Job 'j-241128c858594219beb03b3a98fe9328': running (progress N/A)\n",
-      "0:03:48 Job 'j-241128c858594219beb03b3a98fe9328': running (progress N/A)\n",
-      "0:04:47 Job 'j-241128c858594219beb03b3a98fe9328': finished (progress 100%)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "job = timeseries_masked.execute_batch(out_format=\"CSV\", title=\"Maked NDVI timeseries\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "PosixPath('ndvi-results/timeseries-masked.csv')"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "job.get_results().download_file(\"ndvi-results/timeseries-masked.csv\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 540x270 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plot_timeseries(\"ndvi-results/timeseries-masked.csv\")"
    ]
@@ -573,7 +441,7 @@
    "source": [
     "## Timeseries Smoothing\n",
     "\n",
-    "As final step in this demonstration we will add a openEO user-defined function (UDF) to the processing. \n",
+    "As final step in this demonstration we will add an openEO user-defined function (UDF) to the processing. \n",
     "A UDF allows to submit a snippet of, for example, Python code to be executed on the data at the backend side.\n",
     "In this case we'll define a UDF to:\n",
     "\n",
@@ -585,22 +453,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "udf = openeo.UDF(\n",
-    "    \"\"\"\n",
+    "udf = openeo.UDF(\"\"\"\n",
+    "import numpy as np\n",
     "from scipy.signal import savgol_filter\n",
     "from openeo.udf import XarrayDataCube\n",
     "\n",
     "def apply_datacube(cube: XarrayDataCube, context: dict) -> XarrayDataCube:\n",
     "    array = cube.get_array()\n",
+    "    \n",
+    "    # Interpolate interior NaNs\n",
     "    filled = array.interpolate_na(dim='t')\n",
-    "    smoothed_array = savgol_filter(filled.values, 5, 2, axis=0)\n",
-    "    return DataCube(xarray.DataArray(smoothed_array, dims=array. dims,coords=array.coords))\n",
-    "\"\"\"\n",
-    ")"
+    "    \n",
+    "    # Fill remaining leading/trailing NaNs (edges) with forward/backfill\n",
+    "    filled = filled.ffill(dim='t').bfill(dim='t')\n",
+    "    \n",
+    "    # Replace any remaining infs or NaNs (e.g. all-NaN pixels) with 0\n",
+    "    values = filled.values\n",
+    "    values = np.where(np.isfinite(values), values, 0.0)\n",
+    "    \n",
+    "    smoothed = savgol_filter(values, 5, 2, axis=0)\n",
+    "    \n",
+    "    return XarrayDataCube(xarray.DataArray(smoothed, dims=array.dims, coords=array.coords))\n",
+    "\"\"\")"
    ]
   },
   {
@@ -612,7 +490,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -629,7 +507,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -638,29 +516,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0:00:00 Job 'j-24112860380f4af7b801b9cecdc95910': send 'start'\n",
-      "0:00:14 Job 'j-24112860380f4af7b801b9cecdc95910': created (progress 0%)\n",
-      "0:00:19 Job 'j-24112860380f4af7b801b9cecdc95910': created (progress 0%)\n",
-      "0:00:26 Job 'j-24112860380f4af7b801b9cecdc95910': created (progress 0%)\n",
-      "0:00:34 Job 'j-24112860380f4af7b801b9cecdc95910': created (progress 0%)\n",
-      "0:00:44 Job 'j-24112860380f4af7b801b9cecdc95910': created (progress 0%)\n",
-      "0:00:56 Job 'j-24112860380f4af7b801b9cecdc95910': created (progress 0%)\n",
-      "0:01:15 Job 'j-24112860380f4af7b801b9cecdc95910': running (progress N/A)\n",
-      "0:01:34 Job 'j-24112860380f4af7b801b9cecdc95910': running (progress N/A)\n",
-      "0:01:58 Job 'j-24112860380f4af7b801b9cecdc95910': running (progress N/A)\n",
-      "0:02:30 Job 'j-24112860380f4af7b801b9cecdc95910': running (progress N/A)\n",
-      "0:03:07 Job 'j-24112860380f4af7b801b9cecdc95910': running (progress N/A)\n",
-      "0:03:54 Job 'j-24112860380f4af7b801b9cecdc95910': finished (progress 100%)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "job = timeseries_smoothed.execute_batch(\n",
     "    out_format=\"CSV\", title=\"Smoothed NDVI timeseries\"\n",
@@ -669,40 +527,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "PosixPath('ndvi-results/timeseries-smoothed.csv')"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "job.get_results().download_file(\"ndvi-results/timeseries-smoothed.csv\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 540x270 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plot_timeseries(\"ndvi-results/timeseries-smoothed.csv\")"
    ]
@@ -724,7 +560,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,