Raw multibeam from acoustic echosounding of the water column and archived at SISMER. These data have been acquired: - by oceanographic vessels and national equipment managed by the French Oceanographic Fleet (FOF) - by foreign or national oceanographic vessels in collaboration with Ifremer

These maps represent the monthly probability of being a seabass spawning area for each month of the spawning season (January to March), and the mean probability of being a seabass spawning area over all spawning months in the Bay of Biscay. These probability maps were calculated by performing a geostatistical analysis of fishing data from geolocated vessels, and have a spatial resolution of 3 by 3 nautical miles.

Data available in the French Coast

A ten-year numerical hindcast of hydrodynamics, hydrology and sediment dynamics in the Loire Estuary (France), produced by coupling the hydrodynamics model MARS3D with the sediment dynamics module MUSTANG and the wave spectral model WAVEWATCH III®. Numerical simulations are based on the same model chain used in the Seine Estuary (curviseine) and the Gironde Estuary (curvigironde).

Analysis of tuna stomach contents

Daily and monthly surface wind analyses are determined as gridded wind products over global oceans, with regular spatial resolution of 0.25° in latitude and longitude. They are estimated from scatterometer wind retrievals (L2b data). According to the scatterometer sampling scheme, the objective method allowing the determination of regular in space surface wind fields uses remotely sensed observations as well as ECMWF analyses. The calculation of daily estimates uses ascending as well as descending available and valid retrievals. The objective method aims to provide daily-averaged gridded wind speed, zonal component, meridional component, wind stress and the corresponding components at global scale. The error associated to each parameter, related to the sampling impact and wind space and time variability, is provided too. Monthly wind analyses are calculated from daily estimates.

Planning units layers used for ATLAS EU prioritization scenarios on the North Atlantic (18°N to 76°N and 36°E to 98°W). This raster layer is designed on a grid of 25km * 25km resolution, that served to extract all the spatial data used prioritization. The 31 518 planning units (cells with value) corresponded to areas containing depths shallower or equal to 3500m, even if they could also contain deeper areas locally. For connectivity scenarios, only the planning units matching with the extent of available connectivity data were selected. One layer allocates planning units to the 13 geographical provinces (values ranging from 1 to 13) created for the purpose of prioritization. This dataset was built to feed a basin-wide spatial conservation planning exercise, targeting the deep sea of the North Atlantic. The goal of this approach was to identify conservation priority areas for Vulnerable Marine Ecosystems (VMEs) and deep fish species, based on the distribution of species and habitats, human activities and current spatial management.

Global wave hindcast (1961-2020) at 1° resolution using CMIP6 wind and sea-ice forcings for ALL (historical), GHG (historical greenhouse-gas-only), AER (historical Anthropogenic-aerosol-only), NAT (historical natural only) scenario.

Distribution of three categories of protected or significant areas on the North Atlantic (18°N to 76°N and 36°E to 98°W). Categories were delineated according to relative levels of protection, from the highest to the lowest: fishing closures implemented by Regional Fisheries Management Organisations (RFMOs) and marine reserves; other MPAs likely to benefit from a lower protection; and Ecologically or Biologically Significant Marine Areas (EBSAs). Source vector data originated from the RFMOs (NAFO, NEAFC and GFCM), the World Database on Protected Areas (WDPA), national MPAs databases (US: NOAA and SAFMC; Canada: Fisheries and Oceans Canada; Norway: Institute of Marine Research) and the CBD website. The relative cover or each protection category on 25km *25km gridsquares was computed. This dataset was built to feed a basin-wide spatial conservation planning exercise, targeting the deep sea of the North Atlantic. The goal of this approach was to identify conservation priority areas for Vulnerable Marine Ecosystems (VMEs) and deep fish species, based on the distribution of species and habitats, human activities and current spatial management.

Presence of deep-sea mining exploration zones on the North Atlantic (18°N to 76°N and 36°E to 98°W). These areas correspond to the three polymetallic sulphides exploration contracts on the Mid-Atlantic Ridge, attributed to Poland, France and Russia. Each of the three contract areas is divided into 100 squares of 10km by 10km. Source polygons originated from the International Seabed Authority. The presence (value=1) of deep-sea mining was extracted in 25km * 25km gridsquares. This dataset was built to feed a basin-wide spatial conservation planning exercise, targeting the deep sea of the North Atlantic. The goal of this approach was to identify conservation priority areas for Vulnerable Marine Ecosystems (VMEs) and deep fish species, based on the distribution of species and habitats, human activities and current spatial management.