diff --git a/docs/tutorials/data_manipulation.ipynb b/docs/tutorials/data_manipulation.ipynb
index 844627cb..f0383532 100644
--- a/docs/tutorials/data_manipulation.ipynb
+++ b/docs/tutorials/data_manipulation.ipynb
@@ -317,6 +317,30 @@
     "ndf[\"nested.ab\"]"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Concatenating Nested Frames\n",
+    "\n",
+    "Users can concatenate two nested data frames using panda's `concat` function. Each row from each individual frame becomes a single row in the combined frame with the nested data correctly propagated."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pandas import concat\n",
+    "\n",
+    "ndf_part1 = generate_data(5, 20, seed=1)\n",
+    "ndf_part2 = generate_data(5, 20, seed=2)\n",
+    "ndf_joined = concat([ndf_part1, ndf_part2], ignore_index=True)\n",
+    "\n",
+    "ndf_joined"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -370,7 +394,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "lsdb",
+   "display_name": "nested",
    "language": "python",
    "name": "python3"
   },
@@ -384,7 +408,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.8"
+   "version": "3.10.4"
   }
  },
  "nbformat": 4,