diff --git a/ipynb/Elbe Chlorophyll.ipynb b/ipynb/Elbe Chlorophyll.ipynb
index 4af9760915db603e1229010c4167d0c6b85485dd..5bfe04a3f04b40859d753c05e22a6cdefaaab3ee 100644
--- a/ipynb/Elbe Chlorophyll.ipynb	
+++ b/ipynb/Elbe Chlorophyll.ipynb	
@@ -14,7 +14,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "3c79ca53",
    "metadata": {},
@@ -246,7 +245,7 @@
     "elbe_clorophyll_df_1 = glob.glob(os.path.join(cwd, 'data', 'input', 'elbe', 'chlorophyll','df_1', '*.csv'))\n",
     "elbe_clorophyll_df_1 = [pd.read_csv(file, sep = ';', encoding= 'unicode_escape') for file in elbe_clorophyll_df_1]\n",
     "elbe_clorophyll_df_1 = pd.concat(elbe_clorophyll_df_1, ignore_index=True)\n",
-    "elbe_clorophyll_df_1.head()"
+    "#elbe_clorophyll_df_1.head()"
    ]
   },
   {
@@ -473,7 +472,7 @@
     "elbe_clorophyll_df_1.drop(elbe_clorophyll_df_1[elbe_clorophyll_df_1.Messwert.str.contains('[<]', na=True)].index, inplace=True) #some columns contained string <2.0, so I dropped them for now but probably not an ideal solution\n",
     "elbe_clorophyll_df_1['Stromkilometer'] = elbe_clorophyll_df_1['Stromkilometer'].str.replace(\",\", \".\")\n",
     "elbe_clorophyll_df_1['Messwert'] = elbe_clorophyll_df_1['Messwert'].str.replace(\",\", \".\")\n",
-    "elbe_clorophyll_df_1.head()"
+    "#elbe_clorophyll_df_1.head()"
    ]
   },
   {
@@ -559,7 +558,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "base",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -573,7 +572,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.8.8"
   },
   "vscode": {
    "interpreter": {