12/06/2026
Through the NERC Environmental Data Service (EDS) High5 for AI project, weโve boosted access to key environmental datasets and made them more AI-ready. Highlights include:
๐ Our CTD profile data now available via ERDDAP
๐ชจ National Geographic Data Centre (NGDC) Application Programming Interfaces (APIs) for offshore samples, mapping, and boreholes
๐ Centre for Environmental Data Analysis (CEDA) promoting European Space Agency (ESA) soil moisture data with improved discovery via SpatioTemporal Asset Catalog (STAC)
๐ฑ Environmental Information Data Centre (EIDC) enabling Machine-Learning-ready landcover data workflows
Weโve also adopted the Croissant metadata standard, helping datasets integrate seamlessly into AI and machine learning pipelines - saving time and improving usability.
This work standardises access across data centres, making it easier to combine datasets, run analyses, and answer big environmental questions.
Read more: https://eds.ukri.org/news/impacts/publishing-and-promoting-ai-ready-data
British Antarctic Survey
British Geological Survey
UK Centre for Ecology & Hydrology - UKCEH
Published on 10 June 2026 As part of a recent NERC EDS (Environmental Data Service) project High5 for AI, we have enabled new ways of finding and accessing some of our high-value datasets. This includes the production of new metadata files and creation of notebooks that demonstrate new data access w...