modified time series notebook to make Quarto happy, Quarto bug needs …

…to be reported

.github/workflows/test.yml

@@ -52,7 +52,7 @@ jobs:
           EARTHDATA_PASSWORD: ${{ secrets.EARTHDATA_PASSWORD }}
         shell: bash -l {0}
         run: |
-          find notebooks -type f -name "*.ipynb" -not -path '*\.ipynb_checkpoints/*' -not -path '*endered*' -not -path '*SnowEx*'  | xargs -I F quarto render "F" --execute --execute-daemon-restart
+          find notebooks -type f -name "*.ipynb" -not -path '*\.ipynb_checkpoints/*' -not -path '*endered*' -not -path '*SnowEx*'  | xargs -I F quarto render "F"  --execute-daemon-restart
 
 
   win-osx:

notebooks/iceflow/4_time_series_tutorial.ipynb

@@ -9,7 +9,7 @@
    },
    "source": [
     "# *IceFlow & icepyx*: Altimetry Time Series Tutorial\n",
-    "### NASA Earthdata Webinar - April 2021</b>\n",
+    "### NASA Earthdata Webinar - April 2021\n",
     "\n",
     "This tutorial demonstrates how to harmonize several NASA altimetry data sets with varying temporal coverage, formats, and coordinate reference frames using the IceFlow and icepyx Python tools. Please refer to the 0_introduction.ipynb notebook for detailed information on IceFlow and the data sets you will be exploring in this tutorial. \n",
     "\n",
@@ -155,7 +155,7 @@
     }
    },
    "source": [
-    "---\n",
+    "\n",
     "#### 2.3. Accessing Data with the *IceFlow* Access Widget\n",
     "The *IceFlow* access widget is a user interface tool to visualize flightpaths from IceBridge, draw a region of interest, set spatio-temporal parameters and place data orders to the *IceFlow* API and *icepyx* package without the need to write code.\n",
     "The output of the operations performed in the widget can be seen in the log window (right-most icon at the bottom left corner of your browser.) \n",
@@ -351,7 +351,7 @@
     }
    },
    "source": [
-    "---\n",
+    "\n",
     "#### 2.5. Downloading ICESat-2 data [directly] with ***icepyx***\n",
     "Behind the scenes, *IceFlow* is using the [*icepyx*](https://icepyx.readthedocs.io/en/latest/) Python package to download ICESat-2 data. *icepyx* is a standalone library that includes its own examples and documentation and welcomes contributions from data users (no previous GitHub or software development experience required!). Thus, it has a lot of additional functionality for querying, subsetting, ordering, and downloading ICESat-2 datasets (with in-the-works additions for data ingest into multiple formats), including making it easier to programmatically download data from multiple regions. \n",
     "\n",
@@ -680,17 +680,6 @@
    "source": [
     "tsgdf.plot(x=\"time_col\",y=\"elevation\", kind=\"scatter\");"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "slideshow": {
-     "slide_type": "subslide"
-    }
-   },
-   "source": [
-    "---"
-   ]
   }
  ],
  "metadata": {