New ecco_access package-like framework for access modules

Author: andrewdelman

Intro_to_PO_Tutorials/Geostrophic_balance.ipynb

@@ -108,7 +108,7 @@
     "\n",
     "### Download to your local machine\n",
     "\n",
-    "This sub-section uses the `ecco_download.py` module to help get the datasets needed for this tutorial onto your local machine (laptop, university computing server, etc.) where you can use them offline. Download the module using [this link](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ECCO-ACCESS/ecco_download.py), and then run the cells below.\n",
+    "This sub-section uses the `ecco_download.py` module to help get the datasets needed for this tutorial onto your local machine (laptop, university computing server, etc.) where you can use them offline. Download the module using [this link](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ecco_access/ecco_download.py), and then run the cells below.\n",
     "\n",
     "> Tip: If you are running these tutorials on an instance in the Amazon Web Services (AWS) cloud, skip these cells and instead run the next section, [Download to your AWS instance](https://ecco-v4-python-tutorial.readthedocs.io/Geostrophic_balance.html#Download-to-your-AWS-instance)."
    ]
@@ -320,7 +320,7 @@
     "\n",
     "### Download to your AWS instance\n",
     "\n",
-    "This sub-section uses the `ecco_s3_retrieve.py` module to download to your instance (or open remotely) the datasets you need for this tutorial. If you followed the setup instructions in the [AWS Cloud setup](https://ecco-v4-python-tutorial.readthedocs.io/AWS_Cloud_getting_started.html) tutorial you already have access to this module, or you can download it [here](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ECCO-ACCESS/ecco_s3_retrieve.py). Let's query the syntax of the `ecco_podaac_s3_get_diskaware` function that we will use to download or access the files. This function first assesses the disk space available on your instance, and downloads them to your instance if there is sufficient space, or opens them remotely on S3 otherwise.\n",
+    "This sub-section uses the `ecco_s3_retrieve.py` module to download to your instance (or open remotely) the datasets you need for this tutorial. If you followed the setup instructions in the [AWS Cloud setup](https://ecco-v4-python-tutorial.readthedocs.io/AWS_Cloud_getting_started.html) tutorial you already have access to this module, or you can download it [here](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ecco_access/ecco_s3_retrieve.py). Let's query the syntax of the `ecco_podaac_s3_get_diskaware` function that we will use to download or access the files. This function first assesses the disk space available on your instance, and downloads them to your instance if there is sufficient space, or opens them remotely on S3 otherwise.\n",
     "\n",
     "> Tip: In future tutorials, you will see there is a boolean variable `incloud_access` that is usually set to `False` by default. If you set this variable to `True`, the `ecco_s3_retrieve.py` module will access the datasets on the cloud properly from your instance."
    ]

Intro_to_PO_Tutorials/Steric_height.ipynb

@@ -79,7 +79,7 @@
     "- **ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4** (Jan 2000)\n",
     "- **ECCO_L4_TEMP_SALINITY_LLC0090GRID_MONTHLY_V4R4** (Jan 2000)\n",
     "\n",
-    "To download these datasets to your local machine, you can use the [ecco_download.py](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ECCO-ACCESS/ecco_download.py) module. See the [previous tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Geostrophic_balance.html#Download-the-ECCO-output) or the [ECCO download](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) for more info on how to use this module. If you are working on an AWS instance, just set `incloud_access = True` in the 2nd cell below and the datasets will be downloaded or opened remotely using the `ecco_s3_retrieve.py` module."
+    "To download these datasets to your local machine, you can use the [ecco_download.py](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ecco_access/ecco_download.py) module. See the [previous tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Geostrophic_balance.html#Download-the-ECCO-output) or the [ECCO download](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) for more info on how to use this module. If you are working on an AWS instance, just set `incloud_access = True` in the 2nd cell below and the datasets will be downloaded or opened remotely using the `ecco_s3_retrieve.py` module."
    ]
   },
   {

Intro_to_PO_Tutorials/Thermal_wind.ipynb

@@ -63,7 +63,7 @@
     "- **ECCO_L4_DENS_STRAT_PRESS_LLC0090GRID_MONTHLY_V4R4** (Jan 2000)\n",
     "- **ECCO_L4_GEOMETRY_LLC0090GRID_V4R4** (no time dimension; can use any time 1992-2017 in download functions)\n",
     "\n",
-    "To download these datasets to your local machine, you can use the [ecco_download.py](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ECCO-ACCESS/ecco_download.py) module. See the [previous tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Geostrophic_balance.html#Download-the-ECCO-output) or the [ECCO download](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) for more info on how to use this module. If you are working on an AWS instance, just set `incloud_access = True` in the 2nd cell below and the datasets will be downloaded or opened remotely using the `ecco_s3_retrieve.py` module.\n",
+    "To download these datasets to your local machine, you can use the [ecco_download.py](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ecco_access/ecco_download.py) module. See the [previous tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Geostrophic_balance.html#Download-the-ECCO-output) or the [ECCO download](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) for more info on how to use this module. If you are working on an AWS instance, just set `incloud_access = True` in the 2nd cell below and the datasets will be downloaded or opened remotely using the `ecco_s3_retrieve.py` module.\n",
     "\n",
     "We are going to load the density dataset and plot density on longitude-depth axes following the line in the grid nearest to $26^{o}$ N, i.e., ```i = 73```."
    ]

Tutorials_as_Jupyter_Notebooks/AWS_Cloud_getting_started.ipynb

@@ -1 +1 @@
-../ECCO-ACCESS/Cloud_access_to_ECCO_datasets/Tutorial_AWS_Cloud_getting_started.ipynb
+../ecco_access/Cloud_access_to_ECCO_datasets/Tutorial_AWS_Cloud_getting_started.ipynb

Tutorials_as_Jupyter_Notebooks/Downloading_ECCO_Datasets_from_PODAAC.ipynb

@@ -1 +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_Python3_Jupyter_Notebook_Downloading_ECCO_Datasets_from_PODAAC.ipynb

Tutorials_as_Jupyter_Notebooks/Downloading_ECCO_Subsets.ipynb

@@ -1 +1 @@
-../ECCO-ACCESS/Downloading_ECCO_datasets_from_PODAAC/Tutorial_Python3_Downloading_ECCO_Subsets.ipynb
+../ecco_access/Downloading_ECCO_datasets_from_PODAAC/Tutorial_Python3_Downloading_ECCO_Subsets.ipynb

Tutorials_as_Jupyter_Notebooks/ECCO_v4_data_structure_basics.ipynb

@@ -104,7 +104,7 @@
     "\n",
     "## Downloading and opening state estimate NetCDF files (datasets)\n",
     "\n",
-    "You can access the ECCOv4r4 files through PO.DAAC, either by downloading them to your own machine, or downloading or opening them from an AWS Cloud instance. The [ecco_download.py module](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ECCO-ACCESS/ecco_download.py) helps with downloads to your own machine, while the [ecco_s3_retrieve.py module](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ECCO-ACCESS/ecco_s3_retrieve.py) will help download or access files when you are working in a cloud instance. To indicate that you are working in an instance, specify `incloud_access = True`, otherwise it is assumed you are working outside of the cloud. Directories can be appended to your path using `sys.path.append`.\n",
+    "You can access the ECCOv4r4 files through PO.DAAC, either by downloading them to your own machine, or downloading or opening them from an AWS Cloud instance. The [ecco_download.py module](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ecco_access/ecco_download.py) helps with downloads to your own machine, while the [ecco_s3_retrieve.py module](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ecco_access/ecco_s3_retrieve.py) will help download or access files when you are working in a cloud instance. To indicate that you are working in an instance, specify `incloud_access = True`, otherwise it is assumed you are working outside of the cloud. Directories can be appended to your path using `sys.path.append`.\n",
     "\n",
     "To open ECCO v4's NetCDF files we will use the *open_mfdataset* command from the Python package [xarray](http://xarray.pydata.org/en/stable/index.html). `xarray` has the *open_dataset* routine which creates a `Dataset` object and loads the contents of the NetCDF file, including its metadata, into a data structure. The *open_mfdataset* routine does the same thing, but also concatenates multiple netCDF files with compatible dimensions and coordinates--a very handy feature!\n",
     "\n",

Tutorials_as_Jupyter_Notebooks/ecco_download.py

@@ -1 +1 @@
-../ECCO-ACCESS/ecco_download.py
+../ecco_access/ecco_download.py

Tutorials_as_Jupyter_Notebooks/ecco_s3_retrieve.py

@@ -1 +1 @@
-../ECCO-ACCESS/ecco_s3_retrieve.py
+../ecco_access/ecco_s3_retrieve.py

doc/AWS_Cloud_getting_started.ipynb

@@ -1 +1 @@
-../ECCO-ACCESS/Cloud_access_to_ECCO_datasets/Tutorial_AWS_Cloud_getting_started.ipynb
+../ecco_access/Cloud_access_to_ECCO_datasets/Tutorial_AWS_Cloud_getting_started.ipynb