diff --git a/jupyterbook/content/code_gallery/data_management_notebooks/2018-02-27-pocean-timeSeries-demo.ipynb b/jupyterbook/content/code_gallery/data_management_notebooks/2018-02-27-pocean-timeSeries-demo.ipynb
index d2c32dab..66041a05 100644
--- a/jupyterbook/content/code_gallery/data_management_notebooks/2018-02-27-pocean-timeSeries-demo.ipynb
+++ b/jupyterbook/content/code_gallery/data_management_notebooks/2018-02-27-pocean-timeSeries-demo.ipynb
@@ -60,7 +60,7 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>95</th>\n",
-       "      <td>2019-05-24 17:27:54.693087</td>\n",
+       "      <td>2022-05-10 15:18:50.687502</td>\n",
        "      <td>-48.6256</td>\n",
        "      <td>-27.5717</td>\n",
        "      <td>10</td>\n",
@@ -70,7 +70,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>96</th>\n",
-       "      <td>2019-05-25 17:27:54.693087</td>\n",
+       "      <td>2022-05-11 15:18:50.687502</td>\n",
        "      <td>-48.6256</td>\n",
        "      <td>-27.5717</td>\n",
        "      <td>10</td>\n",
@@ -80,7 +80,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>97</th>\n",
-       "      <td>2019-05-26 17:27:54.693087</td>\n",
+       "      <td>2022-05-12 15:18:50.687502</td>\n",
        "      <td>-48.6256</td>\n",
        "      <td>-27.5717</td>\n",
        "      <td>10</td>\n",
@@ -90,7 +90,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>98</th>\n",
-       "      <td>2019-05-27 17:27:54.693087</td>\n",
+       "      <td>2022-05-13 15:18:50.687502</td>\n",
        "      <td>-48.6256</td>\n",
        "      <td>-27.5717</td>\n",
        "      <td>10</td>\n",
@@ -100,7 +100,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>99</th>\n",
-       "      <td>2019-05-28 17:27:54.693087</td>\n",
+       "      <td>2022-05-14 15:18:50.687502</td>\n",
        "      <td>-48.6256</td>\n",
        "      <td>-27.5717</td>\n",
        "      <td>10</td>\n",
@@ -114,11 +114,11 @@
       ],
       "text/plain": [
        "                         time  longitude  latitude  depth         u         v  \\\n",
-       "95 2019-05-24 17:27:54.693087   -48.6256  -27.5717     10  0.440129 -0.897934   \n",
-       "96 2019-05-25 17:27:54.693087   -48.6256  -27.5717     10  0.348287 -0.937388   \n",
-       "97 2019-05-26 17:27:54.693087   -48.6256  -27.5717     10  0.252964 -0.967476   \n",
-       "98 2019-05-27 17:27:54.693087   -48.6256  -27.5717     10  0.155114 -0.987897   \n",
-       "99 2019-05-28 17:27:54.693087   -48.6256  -27.5717     10  0.055714 -0.998447   \n",
+       "95 2022-05-10 15:18:50.687502   -48.6256  -27.5717     10  0.440129 -0.897934   \n",
+       "96 2022-05-11 15:18:50.687502   -48.6256  -27.5717     10  0.348287 -0.937388   \n",
+       "97 2022-05-12 15:18:50.687502   -48.6256  -27.5717     10  0.252964 -0.967476   \n",
+       "98 2022-05-13 15:18:50.687502   -48.6256  -27.5717     10  0.155114 -0.987897   \n",
+       "99 2022-05-14 15:18:50.687502   -48.6256  -27.5717     10  0.055714 -0.998447   \n",
        "\n",
        "      station  \n",
        "95  fake buoy  \n",
@@ -174,7 +174,25 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "text/plain": [
+       "(array([19024., 19038., 19052., 19066., 19083., 19097., 19113., 19127.]),\n",
+       " [Text(0, 0, ''),\n",
+       "  Text(0, 0, ''),\n",
+       "  Text(0, 0, ''),\n",
+       "  Text(0, 0, ''),\n",
+       "  Text(0, 0, ''),\n",
+       "  Text(0, 0, ''),\n",
+       "  Text(0, 0, ''),\n",
+       "  Text(0, 0, '')])"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -224,6 +242,17 @@
     "        \"institution\": \"Restaurant at the end of the universe\",\n",
     "        \"cdm_timeseries_variables\": \"station\",\n",
     "        \"subsetVariables\": \"depth\",\n",
+    "        # These are only the required attributions from\n",
+    "        # https://ioos.github.io/ioos-metadata/ioos-metadata-profile-v1-2.html#attribution\n",
+    "        \"creator_country\": \"USA\",\n",
+    "        \"creator_email\": \"fake_email@somedomain.org\",\n",
+    "        \"creator_institution\": \"IOOS\",\n",
+    "        \"creator_sector\": \"academic\",\n",
+    "        \"creator_url\": \"https://ioos.github.io/ioos_code_lab/content/intro.html\",\n",
+    "        \"publisher_country\": \"USA\",\n",
+    "        \"publisher_email\": \"fake_email@somedomain.org\",\n",
+    "        \"publisher_institution\": \"IOOS\",\n",
+    "        \"publisher_url\": \"https://ioos.github.io/ioos_code_lab/content/intro.html\",\n",
     "    },\n",
     "    \"longitude\": {\"units\": \"degrees_east\", \"standard_name\": \"longitude\",},\n",
     "    \"latitude\": {\"units\": \"degrees_north\", \"standard_name\": \"latitude\",},\n",
@@ -254,7 +283,7 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {
-    "scrolled": true
+    "scrolled": false
    },
    "outputs": [],
    "source": [
@@ -320,7 +349,7 @@
       "\r\n",
       "// global attributes:\r\n",
       "\t\t:Conventions = \"CF-1.6\" ;\r\n",
-      "\t\t:date_created = \"2019-02-25T20:27:00Z\" ;\r\n",
+      "\t\t:date_created = \"2022-02-11T18:18:00Z\" ;\r\n",
       "\t\t:featureType = \"timeseries\" ;\r\n",
       "\t\t:cdm_data_type = \"Timeseries\" ;\r\n",
       "\t\t:title = \"Fake mooring\" ;\r\n",
@@ -328,6 +357,15 @@
       "\t\t:institution = \"Restaurant at the end of the universe\" ;\r\n",
       "\t\t:cdm_timeseries_variables = \"station\" ;\r\n",
       "\t\t:subsetVariables = \"depth\" ;\r\n",
+      "\t\t:creator_country = \"USA\" ;\r\n",
+      "\t\t:creator_email = \"fake_email@somedomain.org\" ;\r\n",
+      "\t\t:creator_institution = \"IOOS\" ;\r\n",
+      "\t\t:creator_sector = \"academic\" ;\r\n",
+      "\t\t:creator_url = \"https://ioos.github.io/ioos_code_lab/content/intro.html\" ;\r\n",
+      "\t\t:publisher_country = \"USA\" ;\r\n",
+      "\t\t:publisher_email = \"fake_email@somedomain.org\" ;\r\n",
+      "\t\t:publisher_institution = \"IOOS\" ;\r\n",
+      "\t\t:publisher_url = \"https://ioos.github.io/ioos_code_lab/content/intro.html\" ;\r\n",
       "}\r\n"
      ]
     }
@@ -571,7 +609,7 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2019-02-18 17:27:54.693087</td>\n",
+       "      <td>2022-02-04 15:18:50.687502</td>\n",
        "      <td>-48.6256</td>\n",
        "      <td>-27.5717</td>\n",
        "      <td>10</td>\n",
@@ -581,7 +619,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2019-02-19 17:27:54.693087</td>\n",
+       "      <td>2022-02-05 15:18:50.687502</td>\n",
        "      <td>-48.6256</td>\n",
        "      <td>-27.5717</td>\n",
        "      <td>10</td>\n",
@@ -591,7 +629,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2019-02-20 17:27:54.693087</td>\n",
+       "      <td>2022-02-06 15:18:50.687502</td>\n",
        "      <td>-48.6256</td>\n",
        "      <td>-27.5717</td>\n",
        "      <td>10</td>\n",
@@ -601,7 +639,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2019-02-21 17:27:54.693087</td>\n",
+       "      <td>2022-02-07 15:18:50.687502</td>\n",
        "      <td>-48.6256</td>\n",
        "      <td>-27.5717</td>\n",
        "      <td>10</td>\n",
@@ -611,7 +649,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2019-02-22 17:27:54.693087</td>\n",
+       "      <td>2022-02-08 15:18:50.687502</td>\n",
        "      <td>-48.6256</td>\n",
        "      <td>-27.5717</td>\n",
        "      <td>10</td>\n",
@@ -624,12 +662,12 @@
        "</div>"
       ],
       "text/plain": [
-       "                           t        x        y   z    station         u  \\\n",
-       "0 2019-02-18 17:27:54.693087 -48.6256 -27.5717  10  fake buoy -0.506366   \n",
-       "1 2019-02-19 17:27:54.693087 -48.6256 -27.5717  10  fake buoy -0.417748   \n",
-       "2 2019-02-20 17:27:54.693087 -48.6256 -27.5717  10  fake buoy -0.324956   \n",
-       "3 2019-02-21 17:27:54.693087 -48.6256 -27.5717  10  fake buoy -0.228917   \n",
-       "4 2019-02-22 17:27:54.693087 -48.6256 -27.5717  10  fake buoy -0.130591   \n",
+       "                            t        x        y   z    station         u  \\\n",
+       "0  2022-02-04 15:18:50.687502 -48.6256 -27.5717  10  fake buoy -0.506366   \n",
+       "1  2022-02-05 15:18:50.687502 -48.6256 -27.5717  10  fake buoy -0.417748   \n",
+       "2  2022-02-06 15:18:50.687502 -48.6256 -27.5717  10  fake buoy -0.324956   \n",
+       "3  2022-02-07 15:18:50.687502 -48.6256 -27.5717  10  fake buoy -0.228917   \n",
+       "4  2022-02-08 15:18:50.687502 -48.6256 -27.5717  10  fake buoy -0.130591   \n",
        "\n",
        "          v  \n",
        "0  0.862319  \n",
@@ -682,7 +720,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.1"
+   "version": "3.9.10"
   }
  },
  "nbformat": 4,