Pre-generated data cubes

DeepESDL datasets in public object storage

The DeepESDL Consortium provides a growing number of datasets which are made analysis-ready and persisted in public object storage for easy access:

• Earth System Data Cube
• Black Sea Cube
• Land Cover Cube
• Ocean Cube
• SMOS freeze/thaw Cube
• SMOS ocean salinity Cube
• SMOS soil moistrue Cube
• Polar Cube
• Permafrost Cube
• Hydrology Cube

Data Access

To access the DeepESDL persisted datasets, please follow the example or explore the dedicated example Jupyter Notebook:

Initializing the xcube datastore for s3 object storage:

from xcube.core.store import new_data_store
store = new_data_store("s3",
                       root="deep-esdl-public",
                       storage_options=dict(anon=False,
                                            key=S3_USER_STORAGE_KEY,
                                            secret=S3_USER_STORAGE_SECRET))

List all available datasets:

store.list_data_ids()

To open a certain dataset, please replace the path with the path to the desired dataset, which was listed in store.list_data_ids()

dataset = store.open_data('black-sea-1x1024x1024.zarr')