diff --git a/notebooks/Gotthard2/Correction_Gotthard2_NBC.ipynb b/notebooks/Gotthard2/Correction_Gotthard2_NBC.ipynb
index 62853ba7de5b05b6a03f249c6e7d8df7e7fa59f1..bd1940cf30bb7be8fbae855ca848861e3b7d6f3c 100644
--- a/notebooks/Gotthard2/Correction_Gotthard2_NBC.ipynb
+++ b/notebooks/Gotthard2/Correction_Gotthard2_NBC.ipynb
@@ -248,6 +248,21 @@
     "    print(f\"Using {corr_receiver} as a receiver name for the corrected data.\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2551b923",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Check the available trains to correct.\n",
+    "total_trains = len(RunDirectory(run_folder).select(data_sources, require_all=True).train_ids)\n",
+    "if total_trains:\n",
+    "    print(f\"Correcting {total_trains}.\")\n",
+    "else:\n",
+    "    raise ValueError(f\"No trains to correct for run {run}.\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "8c852392-bb19-4c40-b2ce-3b787538a92d",
@@ -413,8 +428,13 @@
     "    out_file = out_folder / raw_file.name.replace(\"RAW\", \"CORR\")\n",
     "    # Select module INSTRUMENT sources and deselect empty trains.\n",
     "    dc = H5File(raw_file).select(data_sources, require_all=True)\n",
-    "\n",
     "    n_trains = len(dc.train_ids)\n",
+    "    \n",
+    "    if n_trains == 0:\n",
+    "        warning(f\"Skipping correction. No trains to correct for this sequence file: {raw_file}.\")\n",
+    "        continue\n",
+    "    else:\n",
+    "        print(f\"Correcting {n_trains} for {raw_file}.\")\n",
     "\n",
     "    # Initialize GH2 data and gain arrays to store in corrected files.\n",
     "    if gh2_detector == \"25um\":\n",