Like all EU Member States, France is obliged to collect and manage the data necessary to conduct the Common Fisheries Policy to assess the abundance and distribution of stocks. A "national multi-annual basic data collection programme" has therefore been set up in which scientific campaigns such as IBTS are integrated. This campaign is carried out in coordination with most of the countries bordering the North Sea, in the framework of the European Fisheries Data Collection Programme (DC-MAP). The research carried out over the last few decades has led to a shift away from fisheries issues stricto sensu (monospecific and geographically limited studies) towards a more integrated vision of the various components of marine ecosystems. This openness results from a desire to better understand the dynamics of exploited marine resources in order to improve diagnoses and management recommendations. The acquisition of data from these compartments at different stations makes it possible to establish a map of biotic and abiotic environmental parameters in the Channel and North Sea during the winter period, a period that is usually little studied, but which is crucial.

The distribution of hydrological landscapes is determined by a method of comparing multi-tables, to identify groups of individuals with similar variability of hydrological conditions during the year. The data used provides monthly tables showing the five selected physical parameters (SS, Phi, SST, MES et CHLA), calculated over the entire geographical area, a common resolution of 0.05°. This method identifies 10 hydrological landscapes showing a similar annual variability of hydrological conditions.

The chemical status of a coastal water body (coastal water or transition water) is determined by the most declassing of the defined states for heavy metals, pesticides, industrial pollutants and other pollutants taken into account by the WFD . The assessment is done once per management plan (once every six years). The most recent assessment of the state of the chemical state is presented in the DCE Loire-Bretagne atlas. Earlier reports are available in annual archives.

The SDC_BLS_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Black Sea including the seasonal and monthly fields for period 1955-2017 and seasonal fields for 6 decades starting from 1955 to 2014. The climatic fields were computed from the integrated Black Sea dataset that combines data extracted from the 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1.

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

Occurrence rate by observation number for 100km of effort in each 40km mesh in the French mainland EZE in the winter of 2011/2012 and the summer of 2012. Description of the attribute table: survey : campaign Type: observation type Mesh: mesh size in kilometers _no_maille : mesh number The following fields correspond to the calculation of the occurrence rate for the observation number for 1000km of effort for each species or group of species : - [marsouin] common porpoise - [grdDauph] bottlenose dolphin - [lagenor] White-beaked dolphin - [pttDelph] : common dolphin and Striped dolphin - [globiceph] : Long-finned pilot whale + Risso's dolphin - [cakobab] : Sperm whale+ kogias + Beaked whales - [balenopt] : Fin whale + Minke whale + blue whale - [phoque] seal (grey + harbour)

The distribution of hydrological landscapes is determined by a method of comparing multi-tables, to identify groups of individuals with similar variability of hydrological conditions during the year. The data used provides monthly tables showing the selected parameters, calculated over the entire geographic area with a resolution of 0.1 °. The variable chlorophyll-a is extra: it does not contribute to the discrimination of groups. This method identifies 10 hydrological landscapes with a similar annual variability of hydrological conditions.

Validated and aggregated data from current profilers measured continuously by hull-mounted ADCPs (Acoustic Doppler Current Profiler).

3D seasonal temperature range (in ° C) obtained by objective analysis (interpolation) of the raw data in situ, at a depth of 5m. Within the Bay of Biscay Challenge and the programme of the Operational Coastal Oceanographic Centre Prévimer, the services of SISMER DYNECO-PHYSED of IFREMER have built a joint hydrological database of the Bay of Biscay, from CTD measurements, Bouteilles, XBT / MBT and Profileurs from multiple global data centres to achieve a climatological atlas of the region for temperature and salinity.

To draw up an inventory of the "Western Channel" ecosystem by collecting complete data covering a maximum of compartments of this system (hydrology, planktonic compartments including fish eggs and larvae, benthic invertebrates, pelagic, demersal and benthic fish and cephalopods, birds and marine mammals). To determine the impact of climate change in the Channel on the composition of benthic invertebrate assemblages, the integrator group of these changes, through sampling of particular stations for which historical data exist. Carry out an intercalibration with the N/O Gwen Drez so that the CGFS (Channel Ground Fish Survey) data set can be continued on another vessel in the coming years.