diff --git a/jupyterbook/content/code_gallery/data_access_notebooks/2016-10-12-fetching_data.ipynb b/jupyterbook/content/code_gallery/data_access_notebooks/2016-10-12-fetching_data.ipynb
index bc912b10..947f9649 100644
--- a/jupyterbook/content/code_gallery/data_access_notebooks/2016-10-12-fetching_data.ipynb
+++ b/jupyterbook/content/code_gallery/data_access_notebooks/2016-10-12-fetching_data.ipynb
@@ -6,7 +6,9 @@
    "source": [
     "# Fetching data from CO-OPS SOS with Python tools\n",
     "\n",
-    "Created: 2016-10-12"
+    "Created: 2016-10-12\n",
+    "\n",
+    "Updated: 2022-05-25"
    ]
   },
   {
@@ -882,7 +884,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.10.4"
   }
  },
  "nbformat": 4,
diff --git a/jupyterbook/content/code_gallery/data_access_notebooks/2016-11-15-glider_data_example.ipynb b/jupyterbook/content/code_gallery/data_access_notebooks/2016-11-15-glider_data_example.ipynb
index ef240d7a..5df535a5 100644
--- a/jupyterbook/content/code_gallery/data_access_notebooks/2016-11-15-glider_data_example.ipynb
+++ b/jupyterbook/content/code_gallery/data_access_notebooks/2016-11-15-glider_data_example.ipynb
@@ -7,6 +7,7 @@
     "# Plotting Glider data with Python tools\n",
     "\n",
     "Created: 2016-11-15\n",
+    "\n",
     "Updated: 2022-05-25\n",
     "\n",
     "In this notebook we demonstrate how to obtain and plot glider data using cf-xarray . We will explore data from the Rutgers University RU29 [Challenger](http://challenger.marine.rutgers.edu) glider that was launched from Ubatuba, Brazil on June 23, 2015 to travel across the Atlantic Ocean. After 282 days at sea, the Challenger was picked up off the coast of South Africa, on March 31, 2016. For more information on this ground breaking excusion see: [https://marine.rutgers.edu/main/announcements/the-challenger-glider-mission-south-atlantic-mission-complete](https://marine.rutgers.edu/main/announcements/the-challenger-glider-mission-south-atlantic-mission-complete)\n",
diff --git a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2016-11-16-CF-UGRID-SGRID-conventions.ipynb b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2016-11-16-CF-UGRID-SGRID-conventions.ipynb
index eb2c6082..df91961e 100644
--- a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2016-11-16-CF-UGRID-SGRID-conventions.ipynb
+++ b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2016-11-16-CF-UGRID-SGRID-conventions.ipynb
@@ -7,6 +7,7 @@
     "# Parsing Conventions and standards with Python\n",
     "\n",
     "Created: 2019-11-16\n",
+    "\n",
     "Updated: 2022-05-25\n",
     "\n",
     "Metadata conventions, like the Climate and Forecast (CF) conventions,\n",
diff --git a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2020-02-14-QARTOD_ioos_qc_Water-Level-Example.ipynb b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2020-02-14-QARTOD_ioos_qc_Water-Level-Example.ipynb
index 6f5829fa..15f71a49 100644
--- a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2020-02-14-QARTOD_ioos_qc_Water-Level-Example.ipynb
+++ b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2020-02-14-QARTOD_ioos_qc_Water-Level-Example.ipynb
@@ -8,6 +8,8 @@
     "\n",
     "Created: 2020-02-14\n",
     "\n",
+    "Updated: 2022-05-23\n",
+    "\n",
     "This post will demonstrate how to [run ``ioos_qc``](https://github.com/ioos/ioos_qc) on a time-series dataset. ``ioos_qc`` implements the [Quality Assurance / Quality Control of Real Time Oceanographic Data (QARTOD)](https://ioos.noaa.gov/project/qartod/).\n",
     "\n",
     "We will [use `bokeh`](https://docs.bokeh.org/en/latest/) for interactive plots, so let's start by loading the interactive notebook output."