Classification of the seabed in the Atlantic Ocean into broad-scale benthic habitats employing a non-hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. The numbers in the raster layer correspond to individual classes. Description of these classes is given in McQuaid, K.A. et al. (2023).

Size-weight relationships are specific to each scientific species and its environment. They allow the size of an individual to be determined from its weight or vice versa. These relationships are established statistically from a sample of individuals representative of the species.

The activity calendars of fishing vessels reconstituted each year provide access to the following monthly fishing data: main operating port, number of pepole on board, number of days at sea and of, trade (s) practiced ( s), exploited fishing areas and their distance from the coast. Annual data on the dimension and mesh size of the engines used to practice a trade are also provided.

ObsBio, the collection of individual biological parameters such as size, weight, sex, age are necessary data to know by elevation, the share of the populations in the recruitment of young fish, in the natural mortality and in the mortality by fishing

The geographical distribution of the main sources of wild Pacific oysters (Crassostrea gigas) (Thunberg, 1793) on the coasts of the Pertuis Charentais was compiled from 2010 to 2012. The inventory focuses on natural foreshore deposits (+ 6-0 m sea coast) and compiles two cartographic sources: 1) quantitative inventories made in 2010 by Ifremer from the Tranche sur Mer (Vendée) to Vaux-sur-Mer in 21 representative sites to estimate wild stocks of Pacific oysters and 2) inventory mapping of intertidal marine habitats mainly made by LIENSs (in cooperation with CREOCEAN, IODDE, Ré Nature Environnement and GEO-Transfert) under the project CARTHAM Natura 2000at sea of the Agency of Marine Protected Areas. Methodologies used by Ifremer to estimate the areas colonized combine thematic analysis in Geographic Information System (GIS) and field validations (Soletchnik et al., 2012). The methodologies used to estimate LIENSs extension of the intertidal habitat of the oysters combined aerial image analysis, remote sensing, field validations and thematic analysis using GIS (Cajeri et al., 2012).

Occurrence data for marine mammals, birds and other marine megafauna collected by Megascope on fishing and oceanographic surveys (date, position, species).

Stocks (abundance and biomass) of the slipper limpet Crepidula fornicata Linnaeus, 1758 in the Pertuis Charentais shallows were estimated in 2011 and mapped (Sauriau et al., 2011). The influence of the estimate includes the Pertuis Breton, the eastern part Pertuis Antioch Fouras peninsula and the Bay of Marennes-Oléron where the latter earlier estimates are available. Contours and surface areas of the crepidula were previously determined by acoustic imaging performed aboard the VO/Haliotis in 2008 and 2009, interpreted and validated by spot sampling in 2009 (Curti, 2009). Sampling stocks of 2011 is based on a stratified random sample of 40 banks with a proportional distribution of sampling of 200 stations between banks. The listing for each crepidula bank stocks (abundance in millions, biomass in tonnes) both living and dead, these shells may provide support to potential new colonization.

SACROIS is a data crossing algorithm that produces professional fishing activity data series (validated, consolidated and qualified production and effort data) for the vessels registered in the Community Fishing Fleet (CFP) file. SACROIS selects the best of the available information sources to produce the reference fishing activity data. SACROIS consists of an operational application for reconciliation, verification and consistency checks of different unitary data streams. The SACROIS algorithm does not correct the data, its objective is to : - provide the best possible estimate of the various elements making up a tide from the available data sources - to identify the incompleteness of the various data sources and to propose a synthesis completed by indicators of data qualification resulting from the crossings. Twice a month, the SACROIS algorithm produces a new data source, a synthesis of all the available data sources: the reconstructed SACROIS tides. The SACROIS data have been calculated since 2000 for all fleets for which data are available: - North Sea - Channel - Atlantic (excluding tropical seiners), - Mediterranean (excluding bluefin seiners), - DOM (Reunion, Mayotte, French Guiana and the West Indies).