diff --git a/ipynb/Waterbase.ipynb b/ipynb/Waterbase.ipynb
index a767bb5efb0d866a35476195657abaa8fdf9f845..30ed7d68f9a804ee5deef7ce9986cd1c0e858130 100644
--- a/ipynb/Waterbase.ipynb
+++ b/ipynb/Waterbase.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "id": "acec8070",
    "metadata": {},
    "outputs": [],
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 2,
    "id": "982023de",
    "metadata": {},
    "outputs": [
@@ -33,8 +33,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\Hannah Russell\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3444: DtypeWarning: Columns (21,23,24,29) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
+      "C:\\Users\\Hannah Russell\\AppData\\Local\\Temp\\ipykernel_10596\\2277352076.py:5: DtypeWarning: Columns (21,23,24,29) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "  waterbase_agg = pd.read_csv(cwd + '/data/input/mixed/df_1/Waterbase_v2021_1_T_WISE6_AggregatedData.csv')\n"
      ]
     },
     {
@@ -253,7 +253,7 @@
        "[5 rows x 22 columns]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -272,7 +272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
    "id": "afbd57d5",
    "metadata": {},
    "outputs": [
@@ -280,11 +280,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\Hannah Russell\\anaconda3\\lib\\site-packages\\pandas\\util\\_decorators.py:311: SettingWithCopyWarning: \n",
+      "C:\\Users\\Hannah Russell\\AppData\\Local\\Temp\\ipykernel_10596\\1899205715.py:2: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame\n",
       "\n",
       "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  return func(*args, **kwargs)\n"
+      "  waterbase_sites_coord.dropna(inplace = True)\n"
      ]
     },
     {
@@ -357,7 +357,7 @@
        "14                    AL017  41.3500  19.4000"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -370,7 +370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "id": "df424c99",
    "metadata": {},
    "outputs": [],
@@ -389,7 +389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 5,
    "id": "2d41c3c8",
    "metadata": {},
    "outputs": [],
@@ -400,14 +400,13 @@
     "Elbe_sites = Elbe_sites[['monitoringSiteIdentifier', 'lat', 'lon']]\n",
     "#Elbe_sites\n",
     "\n",
+    "# Before Rotterdam, the Nieuwe Maas is made up of a bunch of different rivers, so I included the tributaries here\n",
+    "Maas_and_tributaries_sites = waterbase_sites[waterbase_sites['waterBodyName'].str.contains('maas|ijssel|lek|noord|schie|dordtsche kil', case = False) == True]\n",
+    "Maas_and_tributaries_sites = Maas_and_tributaries_sites[Maas_and_tributaries_sites['countryCode'].str.contains('NL') == True]\n",
+    "Maas_and_tributaries_sites = Maas_and_tributaries_sites[['monitoringSiteIdentifier', 'lat', 'lon']]\n",
+    "Maas_and_tributaries_sites_list = Maas_and_tributaries_sites['monitoringSiteIdentifier'].dropna().values.tolist()\n",
     "\n",
     "\n",
-    "Maas_sites = waterbase_sites[waterbase_sites['waterBodyName'].str.contains('maas', case = False) == True]\n",
-    "Maas_sites = Maas_sites[Maas_sites['countryCode'].str.contains('NL') == True]\n",
-    "Maas_sites = Maas_sites[['monitoringSiteIdentifier', 'lat', 'lon']]\n",
-    "Maas_sites_list = Maas_sites['monitoringSiteIdentifier'].dropna().values.tolist()\n",
-    "#Maas_sites\n",
-    "\n",
     "Ems_sites = waterbase_sites[waterbase_sites['waterBodyName'].str.contains('ems ', case = False) == True]\n",
     "Ems_sites = Ems_sites[['monitoringSiteIdentifier', 'lat', 'lon']]\n",
     "Ems_sites_list = Ems_sites['monitoringSiteIdentifier'].dropna().values.tolist()\n",
@@ -416,15 +415,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
-   "id": "d382e12f",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 6,
    "id": "7795cd08",
    "metadata": {},
    "outputs": [
@@ -608,7 +599,7 @@
        "49537             NL89_WISSKKE  51.60158  3.72057  Eastern Schelde"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -628,7 +619,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 7,
    "id": "e3f206da",
    "metadata": {},
    "outputs": [
@@ -638,20 +629,18 @@
        "Text(0, 0.5, 'Chlorophyll ug/L')"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -672,7 +661,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 8,
    "id": "89c75c78",
    "metadata": {},
    "outputs": [
@@ -682,20 +671,18 @@
        "Text(0, 0.5, 'Turbidity')"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -716,30 +703,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 9,
    "id": "01069ee5",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Hannah Russell\\AppData\\Local\\Temp\\ipykernel_10596\\1155521294.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.median is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
+      "  Schelde_c_avg = Schelde_chlor.groupby('monitoringSiteIdentifier').median()\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
        "Text(0, 0.5, 'Chlorophyll ug/L')"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -759,13 +752,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "8cf6b830",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Hannah Russell\\AppData\\Local\\Temp\\ipykernel_10596\\1869121405.py:5: FutureWarning: The default value of numeric_only in DataFrameGroupBy.median is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
+      "  Maas_avg = Maas_chlor.groupby('monitoringSiteIdentifier').median()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Chlorophyll ug/L')"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# extract Maas sites from chlor\n",
-    "Maas_chlor = chlor_cd[chlor_cd['monitoringSiteIdentifier'].str.contains(\"|\".join(Maas_sites_list))]\n",
+    "Maas_chlor = chlor[chlor['monitoringSiteIdentifier'].str.contains(\"|\".join(Maas_and_tributaries_sites_list))]\n",
     "Maas_chlor\n",
     "\n",
     "Maas_avg = Maas_chlor.groupby('monitoringSiteIdentifier').median()\n",
@@ -807,7 +829,10 @@
    "id": "2b5b014b",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "pd.set_option('display.max_rows', None)\n",
+    "Maas_and_tributaries_sites"
+   ]
   },
   {
    "cell_type": "code",
@@ -857,6 +882,14 @@
    "outputs": [],
    "source": []
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d382e12f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,