Tracking datasets used for this repo

[jbusecke]

We should have a place to track all datasets that are ingested specifically for this project (e.g. #43 )

We can then:

• consolidate all data on the LEAP-Hub
  • Make a list of all datasets that are currently used and how they are brought into the notebook (wget, ...)
  • Come up with a consistent strategy how to ingest future datasets (some thoughts from the LEAP-Pangeo technical documentation)
• somewhere down the line we can then move all the data to a public target and make everything reproducible everywhere!

[jbusecke]

• Alternatively we can re-ingest once we actually have a fully public storage location. This depends a bit on priorities.

[suryadheeshjith]

In our current notebooks, we use the following data sources:

1. Introduction to Xarray: Data downloaded from
   - https://github.com/pangeo-data/tutorial-data/raw/master/sst/NOAA_NCDC_ERSST_v3b_SST-1960.nc
2. Introduction to XGCM: Data downloaded from
   - https://zenodo.org/record/4421428/files/mitgcm_example_dataset_v2.nc
3. Basic Plotting with MOM6: Locally stored data present at
   - data/thetao_ePBL_data_timemean_1978-2002.nc
4. OM4 Animation: Data stored on Leap Pangeo
   - gs://leap-persistent/jbusecke/OM4_m2lines/daily_combined.zarr
5. Pycnocline Depth using MOM6: Locally stored data present at
   - data/thetao_ePBL_data_timemean_1978-2002.nc
   - data/so_ePBL_data_timemean_1978-2002.nc
   - data/N2_ePBL_data_timemean_1978-2002.nc
6. Ocean Emulation Animations with U-Net: Data stored on Leap Pangeo
   - gs://leap-persistent/m2lines-data-gallery/grids.nc
   - gs://leap-persistent/m2lines-data-gallery/wet_nan.npy
   - gs://leap-persistent/m2lines-data-gallery/ground_truth.npy
   - gs://leap-persistent/m2lines-data-gallery/model_pred_unet.npy