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Data#

DeepESDL provides access to a broad range of Earth System datasets through a unified, analysis-ready data cube framework. Whether you're working on climate research, land use monitoring, or marine studies, DeepESDL helps you access, integrate, and analyze diverse data sources—without the need for heavy local storage or complex preprocessing.

Data is accessed lazily using the powerful xcube library, which accesses data directly from remote services. This means you can work with massive datasets on-demand—saving time, storage, and effort.

In addition to public data sources, DeepESDL supports the integration of your own datasets into the same framework, enabling seamless joint analysis and visualization. For guidance on integrating your own data, see this guide.


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Available Data Sources#

Data Source Example How to Access Plugin repository
CDS Copernicus Climate Data Store (CDS) new_data_store("cds") Example Notebook Github
CMEMS Copernicus Marine Service (CMEMS) new_data_store("cmems") Example Notebook Github
CLMS Copernicus Land Monitoring Service (CLMS) new_data_store("clms") Example Notebook
(external link)

Example Notebook
(external link)
Github
DeepESDL DeepESDL Public Data Cubes new_data_store("s3", root="deep-esdl-public") Example Notebook
EOPF EOPF Sample Service new_data_store("eopf-zarr") Example Notebook
(external link)
Github
ESA CCI ESA Climate Data Centre (CCI) new_data_store("cciodp")
new_data_store("ccizarr")
Example Notebook Github
SMOS ESA SMOS new_data_store("smos") Example Notebook
(external link)
Github
GEDI Global Ecosystem Dynamics Investigation (GEDI) new_data_store("gedi") Example Notebook
(external link)
Github
Sentinel Hub Sentinel Hub new_data_store("sentinelhub") Example Notebook Github
STAC SpatioTemporal Asset Catalog (STAC) new_data_store("stac")
new_data_store("stac-cdse")
new_data_store("stac-cdse-ardc")
General Example Notebook,
CDSE Example Notebook
Github
Zenodo Zenodo new_data_store("zenodo") Example Notebook Github

Want to Use Your Own Data?#

DeepESDL supports seamless integration of your own datasets into the analysis-ready cube environment. This allows joint processing and comparison with public Earth System data.
👉 Learn how to integrate your own data.