Compilation of gravimetric data between 1973 and 1994

Gravimetry data of the ridge axis of Mohn's ridge (NE Atlantic) in order to study the mecanisms of the oceanic accretion.

Agencies education in marine trades geolocalized to municipality. This information was produced as part of the initial assessment of the MSFD. Referent expert Sophie Devergie. WARNING: the spatial structure of the data must be improved because it contains superpositions of points (several training agencies per commune). Here the tool "Representation" of ArcGIS was used to facilitate the mapping of the data that does not meet basic standards of the topology. Ultimately, the quality of the data can be improved by refining the address geolocation.

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.

Distribution of three bathymetric terrain variables (depth, slope and Bathymetric Position Index) on the North Atlantic (18°N to 76°N and 36°E to 98°W). This dataset originated from three source layers (3km * 3km resolution) computed within the work package 3 of EU ATLAS project, and based on the EMODnet Digital Bathymetry portal and the General Bathymetric Chart of the Oceans (GEBCO). From these source layers, the mean depth (m), slope (degree) and BPI (no unit) were calculated for each 25km * 25km gridsquare. 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.

Compilation of gravimetric data between 1973 and 1994

Shellfish farming areas can have different meanings. Sometimes their identification is prescribed and used for health classification of production areas. In Euroshell project, the choice was made to map the production areas whose identification makes sense for both scientists and professionals. A limited number of areas is then showed, often corresponding to a hydrographic reality. Indeed, the shellfish industry is mainly installed in estuaries, river mouths, bays, fjords, estuaries or lagoons. This map shows the shellfish production sites, which include several areas. Some information is given on species produced, the number of companies and / or concessions and / or producers, the approximate amount of production.

The mapping of pockmark habitats (cold fluid emissions) off the coast of Congo was carried out by Ifremer's Deep-Sea Laboratory as part of the WACS cruise. The method used for this habitat mapping is based on the preliminary analysis of videos acquired with the ROV Victor 6000 during the oceanographic cruise: WACS (from 26/01/2011 to 25/02/2011, mission leader: Karine OLU). The habitats were described at the finest level of analysis and then classified according to the EUNIS typology (https://www.eea.europa.eu/data-and-maps/data/eunis-habitat-classification-1). Data published in: Marcon, Y., H. Sahling, A.-G. Allais, G. Bohrmann and K. Olu (2014a). Distribution and temporal variation of mega-fauna at the Regab pockmark (Northern Congo Fan), based on a comparison of videomosaics and geographic information systems analyses." Marine Ecology 35(1): 77-95. doi: 10.1111/maec.12056