SIOS
Svalbard Integrated Arctic Earth Observing System BDI Factsheet
D3.1 First release of aggregated and harmonised EOV datasets
Fisheries data to train Artificial Intelligence Models in predicting global fisheries distribution
The Global Fisheries Atlas Virtual Lab (GFA VLab) will provide FAIR-compliant services for end users to better discover, access andunderstand available data and knowledge about fisheries worldwide.GFA VLab will combine Global Record of Stocks and Fisheries (GRSF) andthe Fisheries Atlas (FA) VLabs
... Read moreBlue-Cloud 2026 - D6.2 Communication, Dissemination, Outreach and Education Plan, 2nd release
The main goal of Blue-Cloud 2026 WP6 is to promote and disseminate the project ambition, on-going activities and Key Exploitable Results (KERs) to the identified list of key stakeholder groups throughout content-rich communication activities, via multi-channel user-centric campaigns.
... Read moreBlue-Cloud 2026 - D5.2 VRE Operation Report
The Horizon Europe Blue-Cloud initiative started in 2019 with the aim of creating a European Open Science Cloud for marine data. This involves federating data and e-infrastructures to provide data products and technologies as open science resources for the wider marine research community.
... Read moreBlue-Cloud 2026 - D2.6 Tuning between Blue-Cloud Data Lakes and DTO development, 1st report
The European Digital Twin Ocean (EU DTO) initiative, announced by President von der Leyen, aims to harness digital technology to provide comprehensive knowledge of the ocean.
... Read moreGlobal monthly catches from tuna surface fisheries by 1° grid (1958-2021) (FIRMS level 0)
We compiled a comprehensive dataset of geo-referenced catches from global tuna fisheries that use fishing gears set at the water's surface.
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