diff --git a/notebooks/demo_acsm_pipeline.ipynb b/notebooks/demo_acsm_pipeline.ipynb
index d9c2c05..bfbeef1 100644
--- a/notebooks/demo_acsm_pipeline.ipynb
+++ b/notebooks/demo_acsm_pipeline.ipynb
@@ -57,6 +57,7 @@
     "from pipelines.steps.utils import load_project_yaml_files\n",
     "from pipelines.steps.update_datachain_params import main as update_datachain_params\n",
     "from pipelines.steps.drop_column_from_nas_file import main as drop_column_from_nas_file\n",
+    "from pipelines.steps.adjust_uncertainty_column_in_nas_file import main as adjust_uncertainty_column_in_nas_file\n",
     "\n",
     "campaign_descriptor = load_project_yaml_files(project_path, \"campaignDescriptor.yaml\")\n",
     "YEAR = campaign_descriptor['year']\n",
@@ -94,6 +95,8 @@
    "outputs": [],
    "source": [
     "# Uncomment and define the following variables manually to reanalize previous data collections\n",
+    "#CAMPAIGN_DATA_FILE = '../data/collection_PAY_2024_2025-05-26_2025-05-26.h5'\n",
+    "#APPEND_DATA_DIR = '../data/collection_PAY_2024_2025-05-26_2025-05-26'\n",
     "#CAMPAIGN_DATA_FILE = '../data/collection_PAY_2024_2025-05-21_2025-05-21.h5'\n",
     "#APPEND_DATA_DIR = '../data/collection_PAY_2024_2025-05-21_2025-05-21'"
    ]
@@ -230,6 +233,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import warnings\n",
+    "\n",
     "DATA_DIR = f\"{APPEND_DATA_DIR}/ACSM_TOFWARE_processed/{YEAR}\"\n",
     "FLAGS_DIR = f\"{APPEND_DATA_DIR}/ACSM_TOFWARE_flags/{YEAR}\"\n",
     "\n",
@@ -238,9 +243,19 @@
     "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",
+    "\n",
+    "\n",
+    "\n",
+    "    # Your code that might generate warnings\n",
+    "\n",
+    "\n",
+    "\n",
     "update_actris_header('../campaignDescriptor.yaml')\n",
-    "prepare_ebas_submission([PATH1, PATH2, PATH3], PATH4, month)\n"
+    "\n",
+    "month = \"2-3\"\n",
+    "with warnings.catch_warnings():\n",
+    "    warnings.simplefilter('ignore')\n",
+    "    prepare_ebas_submission([PATH1, PATH2, PATH3], PATH4, month)\n"
    ]
   },
   {
@@ -258,10 +273,40 @@
    "outputs": [],
    "source": [
     "#path_to_data_file = '../data/CH0001G.20240201010000.20250519140310.aerosol_mass_spectrometer.chemistry_ACSM.pm1_non_refractory.2mo.1h.CH02L_Aerodyne_ToF-ACSM_017.CH02L_Aerodyne_ToF-ACSM_JFJ.lev2.nas'\n",
-    "path_to_data_file = '../data/CH0002G.20240201010000.20250526113003.aerosol_mass_spectrometer.chemistry_ACSM.pm1_non_refractory.7w.1h.CH02L_Aerodyne_ToF-ACSM_092.CH02L_Aerodyne_ToF-ACSM_PAY.lev2.nas'\n",
+    "path_to_data_file = '../data/CH0002G.20240201010000.20250526175557.aerosol_mass_spectrometer.chemistry_ACSM.pm1_non_refractory.7w.1h.CH02L_Aerodyne_ToF-ACSM_092.CH02L_Aerodyne_ToF-ACSM_PAY.lev2.nas'\n",
+    "\n",
     "drop_column_from_nas_file(path_to_data_file, column_to_remove='inletP')"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#print(((0.5*0.9520)**2 + (0.5*0.0554)**2)**0.5)\n",
+    "#from math import sqrt\n",
+    "#print(':)',sqrt((0.5*0.9520)**2 + (0.5*0.0554)**2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 5.2: Adjust uncertainty of selected column name / variable by adding a constant\n",
+    "* Select a nas file from the data folder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "path_to_data_file = '../data/CH0002G.20240201010000.20250526175557.aerosol_mass_spectrometer.chemistry_ACSM.pm1_non_refractory.7w.1h.CH02L_Aerodyne_ToF-ACSM_092.CH02L_Aerodyne_ToF-ACSM_PAY.lev2.nas'\n",
+    "adjust_uncertainty_column_in_nas_file(path_to_data_file, base_column_name='Org')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},