Global annual catches from tuna fisheries (1918-2023) (FIRMS level 0)
We constructed the most comprehensive dataset of nominal catches from global tuna fisheries by compiling and harmonizing public domain data from the five tuna Regional Fisheries Management Organizations (t-RFMOs) for the period 1918-2023.
... Read moreGlobal monthly catches from tuna surface fisheries by 1° grid (1958-2023) (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.
... Read moreGlobal monthly catches from tuna fisheries by 5° grid (1950-2023) (FIRMS level 0)
Global monthly catches from tuna fisheries by 1° and 5° grids (1950-2023) (FIRMS level 0)
We compiled a comprehensive dataset of geo-referenced catches from global tuna fisheries available at a spatial resolution of 1° and 5° grid areas.
... Read moreBlue-Cloud 2026 - D2.5 Established BDI sub setting APIs and Data Lakes Documentation Report
A one-year-long consultation and prototyping phase has resulted in concrete plans for establishing data subsetting capabilities in the Blue-Cloud ecosystem and implementing that vision by deploying a series of data lakes at the Blue-Cloud VRE for data repositories and data collections in support
... Read moreBlue-Cloud 2026 - D4.3 Vlabs Users Handbook V1
By working closely with long-term EU marine data services (i.e., EMODnet, Copernicus), and research data infrastructures (i.e., EuroArgo, SeaDataNet, Ecotaxa and others), the Blue-Cloud project is offering to the marine community a state-of-the-art cyber platform designed to implement an incubato
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