preparing ECCO download tutorials for posting

Author: Andrew Delman

ECCO-ACCESS/Downloading_ECCO_datasets_from_PODAAC/Tutorial_Python3_Jupyter_Notebook_Downloading_ECCO_Datasets_from_PODAAC.ipynb

@@ -5,11 +5,11 @@
    "id": "d8999184",
    "metadata": {},
    "source": [
-    "# Downloading ECCO Datasets from PO.DAAC\n",
+    "# Using Python to Download ECCO Datasets\n",
     "\n",
     "**Note: This notebook was modified by Andrew Delman (updated 2022-12-15) from the tutorial on the [ECCO-GROUP Github](https://github.com/ECCO-GROUP/ECCO-ACCESS/blob/master/PODAAC/Downloading_ECCO_datasets_from_PODAAC/Tutorial_Python3_Jupyter_Notebook_Downloading_ECCO_Datasets_from_PODAAC.ipynb) by Jack McNelis and Ian Fenty, Version 1.1 dated 2021-06-25.**\n",
     "\n",
-    "This notebook provides instructions for downloading a set of granules (files) for an ECCO \"Dataset\" hosted by PO.DAAC. The focus is on downloading datasets in the lat-lon-cap 90 (llc90) native grid of the ECCO v4 simulations, since the tutorials mostly use output on the native grid. If you're new to this grid geometry, don't worry! The ecco_v4_py package discussed in the previous tutorial will help you load the ECCO output, make computations, and plot the results while hardly needing to interact with the model grid.\n",
+    "This Jupyter notebook provides instructions and Python code for downloading a set of granules (files) for an ECCO \"Dataset\" hosted by PO.DAAC. The focus is on downloading datasets in the lat-lon-cap 90 (llc90) native grid of the ECCO v4 simulations, since the tutorials mostly use output on the native grid. If you're new to this grid geometry, don't worry! The ecco_v4_py package discussed in the previous tutorial will help you load the ECCO output, make computations, and plot the results while hardly needing to interact with the model grid.\n",
     "\n",
     "The example ECCO Dataset used in this tutorial is \"ECCO Sea Surface Height - Daily Mean llc90 Grid (Version 4 Release 4)\" which provides daily mean sea surface height on the native llc90 grid ([10.5067/ECL5D-SSH44](https://doi.org/10.5067/ECL5D-SSH44)). \n",
     "\n",

ECCO-ACCESS/Downloading_ECCO_datasets_from_PODAAC/Tutorial_Python3_Jupyter_Notebook_Downloading_ECCO_Datasets_from_PODAAC.pdf

@@ -1,4 +1,4 @@
-# Tutorial: Using Command Line _wget_ to Download ECCO Datasets from PO.DAAC
+# Using _wget_ to Download ECCO Datasets from PO.DAAC
 
 Version 1.0 2021-06-25
 
@@ -91,4 +91,4 @@ $wget --no-verbose \
      --no-clobber \
      --continue \
      -i 5237392644-download.txt -P data/
-```
+```

ECCO-ACCESS/Downloading_ECCO_datasets_from_PODAAC/Tutorial_wget_Command_Line_HTTPS_Downloading_ECCO_Datasets_from_PODAAC.md

@@ -0,0 +1 @@
+../ECCO-ACCESS/Downloading_ECCO_datasets_from_PODAAC/Tutorial_Python3_Jupyter_Notebook_Downloading_ECCO_Datasets_from_PODAAC.ipynb

ECCO-ACCESS/Downloading_ECCO_datasets_from_PODAAC/Tutorial_wget_Command_Line_HTTPS_Downloading_ECCO_Datasets_from_PODAAC.pdf

@@ -0,0 +1 @@
+../ECCO-ACCESS/Downloading_ECCO_datasets_from_PODAAC/Tutorial_wget_Command_Line_HTTPS_Downloading_ECCO_Datasets_from_PODAAC.md

doc/Downloading_ECCO_Datasets_from_PODAAC_Python.ipynb

@@ -29,6 +29,8 @@ The `ecco_v4_py`_ package used in this tutorial was inspired by the `xmitgcm`_ p
    fields
    Installing_Python_and_Python_Packages
    Downloading_the_ECCO_v4_state_estimate
+   Downloading_ECCO_Datasets_from_PODAAC_Python.ipynb
+   Downloading_ECCO_Datasets_from_PODAAC_wget
    Tutorial_Introduction
 
 .. toctree::