EUNIS habitat classification and associated confidence shapefiles for Atlantic regions investigated by the EU H2020 project iAtlantic (Version 1)

• Main Authors: Pearman, Tabitha, Strong, James, Domínguez-Carrió, Carlos, Rodrigues, Luís, Morato, Telmo, Philibert, Genevieve, Campbell, Calvin, Murillo-Perez, Javier, Cantwell, Kasey, Sowers, Derek, Hoy, Shannon Kelsey, Vinha, Beatriz, Schumacher, Mia, Olu, Karine, Menot, Lenaick, Matabos, Marjolaine, Sink, Kerry, Perez, José Angel Alvarez, Gavazzoni, Lucas, Sant'Ana, Rodrigo, Huvenne, Veerle A I
• Format: Dataset
• Language: English
• Published: PANGAEA 2023
• Subjects: Atlantic Ocean; Binary Object; Binary Object (File Size); Binary Object (Media Type); File content; Horizontal datum; iAtlantic; iAtlantic_Regions_EUNIC; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Latitude; northbound; southbound; Longitude; eastbound; westbound; Seabed habitat classification; Vertical datum; Mid-Atlantic Ridge; Rockall Trough; Iceland; North Atlantic
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.957094; https://doi.org/10.1594/PANGAEA.957094

This dataset includes 11 regional EUNIS-classified habitat maps (100-1000 km) and associated confidence maps that were created as a project milestone (Nr. 12) of the EU H2020 project 'iAtlantic'. The 12 iAtlantic regions encompass 1. Subpolar Mid-Atlantic Ridge, off Iceland MFRI, 2. Rockall Trough to PAP, 3. Central mid-Atlantic Ridge, 4. NW Atlantic, Gully Canyon, 5. Sargasso Sea, 6. Eastern Tropical North Atlantic, Cape Verde, 7. Equatorial Atlantic, Romanche Fracture Zone, 8. Slope & margin off Angola & Congo Lobe, 9. Benguela Current, Walvis Ridge to South Africa, 10. Brazil margin & Santos and Campos Basin, 11. Vitória-Trindade Seamount Chain and 12. Malvinas Current. For each of the regions 2-12, a shapefile of polygons classified according to the 2022 EUNIS classification level 3 and a second shapefile of the same polygons attributed with their confidence level according to the MESH Accuracy & Confidence Working approach was created. EUNIS classifications combined biozone and substrate data. Biozones were assigned from bathymetry. Where MBES was not available, GEBCO bathymetry was used. Substrate data were extracted from pre-existing geological/substrate mapping efforts and converted to EUNIS classifications via cross walks or, where substrate data were limited, substrate layers were modelled using Random Forest. No additional information to that used in the EUSeaMap was available for region 1. Therefore, shapefiles were not created for region 1.