This dataset was built to feed a basin-wide spatial conservation planning exercise, targeting the deep sea of the North Atlantic, in the framework of the ATLAS H2020 project. This approach aimed to inform Marine Spatial Planning and conservation initiatives for the deep sea of the North Atlantic, by identifying conservation priority areas for the Vulnerable Marine Ecosystems (VMEs) and deep fish species and discussing the efficiency of the current spatial management context relatively to conservation stakes. This publication provides (1) the links to spatial datasets used as an input, (2) the R scripts used to run the final conservation scenarios together with associated table of targets and connectivity matrix, that can be run on the input data, and (3) the outputs of the final scenarios constructed and computed for ATLAS. Produced by IFREMER. This output reflects the authors’ views and the European Union is not responsible for any use that may be made of the information it contains. Please note that you use these data at your own risk. No warranty is expressed or implied and no liability is accepted for any inconveniences or damages that may ensue from their use.

Division of French metropolitan territories to define the zones contributing to the pollutant flow carried by rivers to the sea.

Map of surficial sediments of the northern continental shelf of the Bay of Biscay at 1:500000 by Philippe BOUYSSE, Patrick LESUEUR, André KLINGEBIEL et al., 1986, conducted jointly by the BRGM and Ifremer.

World list of seaports. In its 2021 version, the repository includes 13709 ports for 187 countries. The list of seaports has been drawn up on the basis of the information available in the European reference system of places used in the framework of the Common Fisheries Policy and, more particularly, by the Electronic Recording and Reporting System (ERS), the list of ports identified by the UNECE (2021-1). An assessment of the infrastructures present along the coastline made it possible to identify other ports that were not listed. Each geographical position has been verified with Google Earth in WGS84. Each port is associated with information relating to the country (ISO 3 coding), the UNECE or ERS 5-character coding, the name, the geographical position in WGS84 (latitude and longitude), the status of the port indicating whether it is referenced by Unece (UNECE), by the EU/ERS (ERS) or by both (UNECE/ERS) In case the port is not referenced by UNECE or ERS, the status is N/A. For French ports, the reference system integrates the ports of the French overseas departments and territories with the national codification. Inland ports have also been integrated in 2021.

This dataset was built to feed a basin-wide spatial conservation planning exercise, targeting the deep sea of the North Atlantic, in the framework of the ATLAS H2020 project. This approach aimed to inform Marine Spatial Planning and conservation initiatives for the deep sea of the North Atlantic, by identifying conservation priority areas for the Vulnerable Marine Ecosystems (VMEs) and deep fish species and discussing the efficiency of the current spatial management context relatively to conservation stakes. This publication provides (1) the links to spatial datasets used as an input, (2) the R scripts used to run the final conservation scenarios together with associated table of targets and connectivity matrix, that can be run on the input data, and (3) the outputs of the final scenarios constructed and computed for ATLAS. Produced by IFREMER.

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

This bathymetric model is the result of compiling data and numerical models prior to 2008 in the Bay of Biscay. These datasets are available at a resolution of 500 m and 1000 m. Contours are also available for both digital terrain model (DTM). Public access granted under certain conditions.

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.

The associated data highlights the sampling programme for the data acquisition campaign of Observation on the Aerial Platform for the SAMM1and SAMM2 campaigns (Aerial Marine Megafauna Monitoring) conducted by the PELAGIS observatory (UMS 3462 ULR/CNRS). The sampling plan is composed of preestablished sampling strata and transects. These were drawn up according to the specific characteristic of the study area “Mainland France”, or FrM. Description of fields and values of allocation tables: : ( - field name, meaning: value, description of values) region char 5 Study area region_lbl char 50 labelled study area idCampagne (survey) char 15 Name of the campaign programme char 20 Programme name sector char 10 Sampling sector short ID strate char 5 Sampling strata short ID strate_lbl char 15 Labelled sampling strata areaKM double Strata surface area transect_name char 10 transect sampling length_km double Transect length start_x double Coordinates of the start of transect x in decimal degree start_y double Coordinates of the start of transect y in decimal degree end_x double Coordinates of the end of transect x in decimal degree end_y double Coordinates of the end of transect y in decimal degree