diff --git a/notebooks/demo_acsm_pipeline.ipynb b/notebooks/demo_acsm_pipeline.ipynb
index 0da54c6..54945c5 100644
--- a/notebooks/demo_acsm_pipeline.ipynb
+++ b/notebooks/demo_acsm_pipeline.ipynb
@@ -55,10 +55,11 @@
     "from pipelines.steps.prepare_ebas_submission import main as prepare_ebas_submission \n",
     "from pipelines.steps.update_actris_header import main as update_actris_header\n",
     "from pipelines.steps.utils import load_project_yaml_files\n",
+    "from pipelines.steps.update_datachain_params import main as update_datachain_params\n",
     "\n",
     "campaign_descriptor = load_project_yaml_files(project_path, \"campaignDescriptor.yaml\")\n",
     "YEAR = campaign_descriptor['year']\n",
-    "STATION = campaign_descriptor['station']"
+    "STATION_ABBR = campaign_descriptor['station_abbr']"
    ]
   },
   {
@@ -85,13 +86,30 @@
     "APPEND_DATA_DIR = os.path.splitext(CAMPAIGN_DATA_FILE)[0]\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 1.1: Update Data Chain Parameters with Input Data\n",
+    "* Ensure the data folder retreived from the network drive contains a suitably specified folder `ACSM_TOFWARE/<year>/params`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "update_datachain_params(CAMPAIGN_DATA_FILE, 'ACSM_TOFWARE/2024')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Step 2: Calibrate Input Campaign Data and Save Data Products\n",
     "\n",
-    "* Set up the input and output directory paths.\n",
+    "* Make sure the variable `CAMPAIGN_DATA_FILE` is properly defined in previous step. Otherwise, set the variable manually as indicated below.\n",
     "* Execute the cell."
    ]
   },
@@ -101,12 +119,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Define manually path to data file by uncomenting the following line, and filling the path\n",
+    "\n",
+    "# CAMPAIGN_DATA_FILE = ../data/<enter here *.h5 filename of interest inside the data directory>\n",
     "path_to_data_file = CAMPAIGN_DATA_FILE\n",
     "path_to_calibration_file = '../pipelines/params/calibration_factors.yaml'\n",
-    "#dataset_name = 'ACSM_TOFWARE/2024/ACSM_JFJ_2024_timeseries.txt/data_table'\n",
-    "#command = ['python', 'pipelines/steps/apply_calibration_factors.py', path_to_data_file, dataset_name, path_to_calibration_file]\n",
-    "#status = subprocess.run(command, capture_output=True, check=True)\n",
-    "#print(status.stdout.decode())\n",
     "\n",
     "apply_calibration_factors(path_to_data_file,path_to_calibration_file)\n"
    ]
@@ -129,7 +146,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "dataset_name = f'ACSM_TOFWARE/{YEAR}/ACSM_{STATION}_{YEAR}_meta.txt/data_table'\n",
+    "dataset_name = f'ACSM_TOFWARE/{YEAR}/ACSM_{STATION_ABBR}_{YEAR}_meta.txt/data_table'\n",
     "path_to_config_file = 'pipelines/params/validity_thresholds.yaml'\n",
     "#command = ['python', 'pipelines/steps/compute_automated_flags.py', path_to_data_file, dataset_name, path_to_config_file]\n",
     "#status = subprocess.run(command, capture_output=True, check=True)\n",
@@ -166,7 +183,7 @@
    "source": [
     "#CAMPAIGN_DATA_FILE = '../data/collection_JFJ_2024_2025-04-08_2025-04-08.h5'\n",
     "path_to_data_file = CAMPAIGN_DATA_FILE\n",
-    "dataset_name = f'ACSM_TOFWARE/{YEAR}/ACSM_{STATION}_{YEAR}_meta.txt/data_table'\n",
+    "dataset_name = f'ACSM_TOFWARE/{YEAR}/ACSM_{STATION_ABBR}_{YEAR}_meta.txt/data_table'\n",
     "path_to_config_file = 'pipelines/params/validity_thresholds.yaml'\n",
     "#command = ['python', 'pipelines/steps/compute_automated_flags.py', path_to_data_file, dataset_name, path_to_config_file]\n",
     "#status = subprocess.run(command, capture_output=True, check=True)\n",
@@ -193,10 +210,10 @@
     "DATA_DIR = f\"{APPEND_DATA_DIR}/ACSM_TOFWARE_processed/{YEAR}\"\n",
     "FLAGS_DIR = f\"{APPEND_DATA_DIR}/ACSM_TOFWARE_flags/{YEAR}\"\n",
     "\n",
-    "PATH1 = f\"{DATA_DIR}/ACSM_{STATION}_{YEAR}_timeseries_calibrated.csv\"\n",
-    "PATH2 = f\"{DATA_DIR}/ACSM_{STATION}_{YEAR}_timeseries_calibrated_err.csv\"\n",
-    "PATH3 = f\"{DATA_DIR}/ACSM_{STATION}_{YEAR}_timeseries_calibration_factors.csv\"\n",
-    "PATH4 = f\"{FLAGS_DIR}/ACSM_{STATION}_{YEAR}_timeseries_flags.csv\"\n",
+    "PATH1 = f\"{DATA_DIR}/ACSM_{STATION_ABBR}_{YEAR}_timeseries_calibrated.csv\"\n",
+    "PATH2 = f\"{DATA_DIR}/ACSM_{STATION_ABBR}_{YEAR}_timeseries_calibrated_err.csv\"\n",
+    "PATH3 = f\"{DATA_DIR}/ACSM_{STATION_ABBR}_{YEAR}_timeseries_calibration_factors.csv\"\n",
+    "PATH4 = f\"{FLAGS_DIR}/ACSM_{STATION_ABBR}_{YEAR}_timeseries_flags.csv\"\n",
     "\n",
     "month = \"2-3\"\n",
     "update_actris_header('../campaignDescriptor.yaml')\n",