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 moreAdvancing Open Science: Interoperable Data Access and Cloud-Based Workflows - FAIR-EASE and Blue-Cloud 2026 Joint Training Webinar
The FAIR-EASE and Blue-Cloud 2026 projects joined forces for a training webinar exploring cutting-edge solutions in data discovery, access, and usability.
... Read mored4storagehub4R - R package to ease interaction with D4Science storage hub
Blue-Cloud Second Federation and Digital Twins of the Ocean Interoperability Joint Workshops
The Blue-Cloud 2026 Second Federation Workshopwas organised in conjuction with the Digital Twins of the Ocean Interoperability Workshop (from ILIAD project).
Global monthly catch of tuna, tuna-like and shark species (1950-2023) by 1° or 5° squares (IRD level 2) - and efforts level 0 (1950-2023)
This deposit contains various datasets describing tuna fisheries activities (currently catches and efforts) and different levels of processing on 1° or 5° spatial grids with a monthly temporal resolution.
... Read moreGlobal monthly catch of tuna, tuna-like and shark species (1950-2023) by 1° or 5° squares (IRD level 2) - and efforts level 0 (1950-2023)
Description
This deposit contains various datasets describing tuna fisheries activities (currently catches and efforts) and different levels of processing on 1° or 5° spatial grids with a monthly temporal resolution.
... Read moreEMBRC: FAIR Data for Marine Scientists Training
Blue-Cloud Virtual Labs and Data Lakes in support of Sustainable Development Goals
The Blue-Cloud thematic Virtual Labs (VLabs) and Workbenches are the main test beds for users to get the hang of the Blue-Cloud framework, exploiting the 10+ million datasets available via the Data Discovery and Access Service (DD&AS), as well as the easy access to the collaborative VLabs via
... Read moreGlobal 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 more