diff --git a/examples/notebooks/Upper_Air_BUFR_Soundings.ipynb b/examples/notebooks/Upper_Air_BUFR_Soundings.ipynb
index b9af980..116032b 100644
--- a/examples/notebooks/Upper_Air_BUFR_Soundings.ipynb
+++ b/examples/notebooks/Upper_Air_BUFR_Soundings.ipynb
@@ -37,7 +37,7 @@
     "&nbsp;&nbsp;&nbsp;&nbsp;[2.2 Setting Additional Request Parameters](https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#setting-additional-request-parameters)<br>  \n",
     "&nbsp;&nbsp;&nbsp;&nbsp;[2.3 Available Location Names](https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#available-location-names)<br>  \n",
     "&nbsp;&nbsp;&nbsp;&nbsp;[2.4 Setting the Location Name](https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#setting-the-location-name)<br>  \n",
-    "[3 Filtering by Time](https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Sounding.html#filtering-by-time)<br>  \n",
+    "[3 Filtering by Time](https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#filtering-by-time)<br>  \n",
     "[4 Get the Data!](https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#get-the-data)<br>  \n",
     "[5 Use the Data!](https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#use-the-data)<br>  \n",
     "&nbsp;&nbsp;&nbsp;&nbsp;[5.1 Prepare Data Objects](https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#prepare-data-objects)<br>  \n",
@@ -112,7 +112,7 @@
    "source": [
     "### 2.2 Setting Additional Request Parameters\n",
     "\n",
-    "Here we populate arrays of all the parameters that will be necessary for plotting the Skew-T. The `MAN_PARAMS` are the *mandatory levels* and the `SIGT_PARAMS` are the *significant temperature* parameters that were both mentioned in the [objectives section](#Objectives) above. \n",
+    "Here we populate arrays of all the parameters that will be necessary for plotting the Skew-T. The `MAN_PARAMS` are the *mandatory levels* and the `SIGT_PARAMS` are the *significant temperature* parameters that were both mentioned in the [objectives section](https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#objectives) above. \n",
     "\n",
     "Also request the station name and ID to use in the figure title later on."
    ]
@@ -283,7 +283,7 @@
     "\n",
     "Since we filtered on time, and requested the data in the previous cell, we now have a `response` object we can work with.\n",
     "\n",
-    "### 5.1 Prepare data objects\n",
+    "### 5.1 Prepare Data objects\n",
     "\n",
     "Here we construct arrays for each parameter to plot (temperature, pressure, and wind components).\n",
     "After populating each of the arrays, we sort and mask missing data."
@@ -525,9 +525,14 @@
    "title_cell": "Table of Contents",
    "title_sidebar": "Contents",
    "toc_cell": false,
-   "toc_position": {},
+   "toc_position": {
+    "height": "calc(100% - 180px)",
+    "left": "10px",
+    "top": "150px",
+    "width": "338.823517px"
+   },
    "toc_section_display": true,
-   "toc_window_display": true
+   "toc_window_display": false
   }
  },
  "nbformat": 4,