Data represents presence-absence prediction of kelp forest. Biological ground truth data were integrated with high resolution environmental datasets to develop statistical model that accurately predict the structure of Laminaria forests within the Bay of Morlaix. As a direct management output, high-resolution map (25 m2 grid) was produced.

Data represents percentage cover of kelp forest as well as biomass of the 2 main species: L. digitata and L. hyperoborea. The used approach consists in firstly establishing surveys and appropriate processing methods in order to provide a detailed underwater topography of the area and to accurately delineate hard substrates (bedrock) potentially colonized by kelp. Secondly, a habitat suitability model is fitted for each species on some carefully selected field stations, measuring kelp presence/absence and biomass. Predictive maps are produced, based on hard substrate areas previously delineated.

IOWAGA sea-states hindcast database generated by the wave model WAVEWATCH-III and forced by ECMWF winds on the North East Atlantic grid over 1990-2012 period.

IOWAGA sea-states hindcast database generated by the wave model WAVEWATCH-III and forced by ECMWF winds on the French coast of the Atlantic ocean unstructured grid over 2008-2018 period.

Ten Random Forest models were fitted in order to characterise the environmental niche and to predict the potential spatial distribution of Zostera marina along the French western seaboard. 3 rasters are provided: 1) Habitat suitability index (values ranging from 0 to 1 when conditions are estimated to be optimal), 2) standard deviation around the mean habitat suitability index, and 3) binary suitability estimates (0= not suitable, 1=suitable). These model estimates indicate areas where the species may occur and are overall consistent with field observations but note that these maps are model-based and do not correspond to actual field observations.

This annual statistics at 500m horizontal resolution was produced from the archived time series of MARS 3D physics model hindcast runs along French Atlantic Coast. The variable that is available here is the Salinity. Values are expressed in psu. The vertical level is the sea surface.

Occurrence data of strandings of marine mammals collected by the correspondents of the National Stranding Network (date, position, species) in metropolitan France in 2014-2020.

Vessel Monitoring System (VMS) data is the data from the Community's satellite-based fishing vessel monitoring system, which provides data on the position, course and speed of vessels to fisheries authorities at regular intervals.

This annual statistics at 500m horizontal resolution was produced from the archived time series of MARS 3D physics model hindcast runs along French Atlantic Coast. The variable that is available here is the Temperature. Values are expressed in Celcius degrees. The vertical level is the seabed.

The COMOR cruises, which took place on the Thalia, aim to assess the abundance of the scallop stock (and if necessary to determine the presence of toxic algae) in the Seine Bay.