EOCIS datasets will be made available as part of the CEDA Archive. This page provides some resources to help you obtain the data.
More access methods will be added to this page over time.
Spatio-Temporal Access Catalog (STAC) is a metadata standard for making it easy to find and obtain spatio-temporal data. For each dataset published to the CEDA archive, we will enable access to the data via the STAC metadata standard.
Resources to help you access EOCIS data via the CEDA STAC catalogue.
The publication of data is in progress, the following datasets are currently available in the CEDA STAC Catalogue
| Dataset | Link to STAC Catalog |
|---|---|
| Sea Surface Temperature - Global | https://stac.ceda.ac.uk/collections/eocis-sst-cdrv3 |
We recommend setting up a python/conda environment to run the example notebooks using miniforge
Once you have installed the miniforge3 tools you can create a suitable environment using:
conda create -n eocis_stac_env python=3.12
conda activate eocis_stac_env
conda install xarray netcdf4 pystac pystac-client httpx requests kerchunk h5py aiohttp matplotlib zarr pillow jupyter
The command to start a notebook server is then
conda activate eocis_stac_env
jupyter notebook