diff --git a/notebooks/cfc-ocean.ipynb b/notebooks/cfc-ocean.ipynb
index 653eb60..0ebbf1e 100644
--- a/notebooks/cfc-ocean.ipynb
+++ b/notebooks/cfc-ocean.ipynb
@@ -4,7 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![Caribbeans for Climate]('/home/jovyan/CFC-cookoff2024/CFC-extreme-weather-cookbook/CFC_logo.PNG')"
+    "\n",
+    "![<Caribbeans for Climate>](../CFC_logo.PNG \"black background with Caribbeans for Climate in green writing\")\n",
+    "![<CMIP6>](./images/logos/cmip_logo.jpeg \"image alt text\")"
    ]
   },
   {
@@ -216,6 +218,36 @@
     "To initiate your ```Client```, navigate to the ```Dask```![<Dask>](dask_icon_v2.ico \"Dask logo\") tab in the far-left sidebar and click on the `+New` button in the lower left of the sidebar window (you can `Scale` to 8 workers to make the computation faster). Once the cluster is active, a `<>` button will appear left of the `Scale` button . Click on it and it will paste a cell with the Client code (like the one below) - run that and delete this old cell. Click on the `Launch dashboard in JupyterLab` button and the Task Stream, Workers Memory and Progress windows will open. In order to get them to render you have to replace `tcp://127.0.0.1:` with `proxy` in the searchbar at the top of the sidebar window"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_13513/595459257.py:3: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
+      "  from tqdm.autonotebook import tqdm\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "from tqdm.autonotebook import tqdm\n",
+    "from dask_gateway import Gateway\n",
+    "from dask.distributed import Client\n",
+    "\n",
+    "\n",
+    "platform = sys.platform\n",
+    "\n",
+    "if (platform == 'win32'):\n",
+    "    import multiprocessing.popen_spawn_win32\n",
+    "else:\n",
+    "    import multiprocessing.popen_spawn_posix"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 40,