Moving 10-years analysis of Oxygen at Northeast Atlantic Ocean for each season: - winter: January-March, - spring: April-June, - summer: July-September, - autumn: October-December. Every year of the time dimension corresponds to the 10-year centred average of each season. Decades span from 1963-1972 until 2005-2014. Observational data span from 1963 to 2014. Depth range (IODE standard depths): -3000.0, -2500.0, -2000.0, -1750, -1500.0, -1400.0, -1300.0, -1200.0, -1100.0, -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0,-40.0, -30.0, -20.0, -10.0, -5.0, -0.0 Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO 1min topography is used for the contouring preparation. Analyzed filed masked using relative error threshold 0.3 and 0.5 DIVA settings. Signal to noise ratio and correlation length were optimized and filtered vertically and a seasonally-averaged profile was used. Background field: the data mean value is subtracted from the data. Detrending of data: no, Advection consraint applied: no. Units: umol/l

Specification of the desirable and recommended product attributes for generating time series of average annual sea temperature at mid-water and sea bottom for the last 10 yrs.

Specifications of the desirable and recommended product attributes for generating spatial layers of sea level trend for the last 10 years for the Mediterranean basin and for each NUTS3 region along the coast.

'''This product has been archived''' For operationnal and online products, please visit https://marine.copernicus.eu '''Short description:''' The Operational Mercator Ocean biogeochemical global ocean analysis and forecast system at 1/4 degree is providing 10 days of 3D global ocean forecasts updated weekly. The time series is aggregated in time, in order to reach a two full year’s time series sliding window. This product includes daily and monthly mean files of biogeochemical parameters (chlorophyll, nitrate, phosphate, silicate, dissolved oxygen, dissolved iron, primary production, phytoplankton, PH, and surface partial pressure of carbon dioxyde) over the global ocean. The global ocean output files are displayed with a 1/4 degree horizontal resolution with regular longitude/latitude equirectangular projection. 50 vertical levels are ranging from 0 to 5700 meters. * NEMO version (v3.6_STABLE) * Forcings: GLOBAL_ANALYSIS_FORECAST_PHYS_001_024 at daily frequency. * Outputs mean fields are interpolated on a standard regular grid in NetCDF format. * Initial conditions: World Ocean Atlas 2013 for nitrate, phosphate, silicate and dissolved oxygen, GLODAPv2 for DIC and Alkalinity, and climatological model outputs for Iron and DOC * Quality/Accuracy/Calibration information: See the related QuID[http://marine.copernicus.eu/documents/QUID/CMEMS-GLO-QUID-001-028.pdf] '''DOI (product) :''' https://doi.org/10.48670/moi-00015

Description of the attributes for the time-series of sea surface annual average temperature for the last 10, 50 and 100 yrs for the Mediterranean basin and for each NUTS region along the coast.

Description of attributes for time series on annual averafe mid-water and sea-bottom temperature for the last 10 years for the Mediterranean basin and for each NUTS3 along coast

Specification of the desirable and recommended products attributes for generating spatial layers of sea level trend for the last 50 and 100 years for the Mediterranean basin and for each NUTS3 region along the coast.

Specification of the desirable and recommended products attributes for generating spatial layers of sea mid-water and sea-bottom temperature for the last 10, 50 and 100 years for the Mediterranean basin and for each NUTS3 region along the coast.

Global Fishing Watch is working across the globe to provide governments and authorities with actionable reports and capacity building to help strengthen fisheries monitoring and compliance. Our global team of experts produce analyses to inform monitoring, control and surveillance of fisheries in five key areas: - Illegal, unreported and unregulated fishing - Transshipment - Port controls - Marine protected areas - Operation support Collaboration and information sharing are integral to achieving well-managed fisheries. By working with stakeholders and making analyses available to national, regional and intergovernmental partners, Global Fishing Watch is enabling fisheries agencies to make more informed and cost-efficient decisions. Topics: - Commercial fishing, Global Fishing Watch is harnessing innovative technology to turn transparent data into actionable information and drive tangible change in the way that fisheries are governed. - Transshipment, Through publicly sharing map visualisations and creating data and analysis tools, we seek to inform management and policy efforts and provide a more complete picture of transshipment at sea. - Marine protected areas, Global Fishing Watch is harnessing the data and technology revolution to support the effective design, management and monitoring of marine protected areas.

A total number of 277 water samples were collected during distinct oceanographic cruises or at fixed stations across coastal systems of France and Senegal. The seawater samples were progressively filtered onto size-fractionated filters (representing micro, nano and pico-plankton). Metabarcoding of the V4 domain of the Eukaryotic 18S rDNA region was carried out to characterize the genetic diversity of the sampled communities. Genomic DNA was extracted following the DNA extraction kit Nucleospin Plant II (Macherey-Nagel) and the V4 markers were amplified with a taq polymerase (Phusion High-Fidelity PCR Master Mix with GC Buffer). Sequencing was performed by the Genotoul sequencing platform (get.genotoul.fr) with the Illumina MISeq method (2x250 bp). The present dataset gathers the different results issued from sequencing. This dataset was submitted to sequence cleaning, filtering, taxonomic assignment and OTU clustering, which resulted in a final dataset also presented.