NAMMCO is an international regional body for cooperation on conservation, management and study of cetaceans (whales, dolphins and porpoises) and pinnipeds (seals and walruses) in the North Atlantic. The members of NAMMCO — Faroe Islands, Greenland, Iceland and Norway — are committed to sustainable and responsible use of all living marine resources, including marine mammals. Through regional cooperation, the NAMMCO member countries aim to strengthen and further develop effective conservation and management measures for marine mammals. Acknowledging the rights and needs of coastal communities to make a sustainable living from what the sea can provide, such measures should be based on the best available scientific evidence and user knowledge and take into account the complexity and vulnerability of the marine ecosystem. The NAMMCO Agreement focuses on consolidating and advancing scientific knowledge of the North Atlantic marine ecosystem as a whole, and understanding better the role of marine mammals in this system. In 2017 NAMMCO member countries reaffirmed their cooperation through the Nuuk Declaration. NAMMCO Catch database: This database of reported catches is searchable and it is possible to filter the information by country, species or area. It is also possible to sort the different columns in ascending or descending order and to show up to 100 entries per page. Carry-over from previous years are included in the quota numbers, where applicable. NAMMCO aims to ensure that this database is kept up to date with correct and validated catch data. The reported catch data for harbour seals in Greenland prior to 2012 is not included in the database due to known sources of error. This includes identified errors in where harbour seal catch data has been entered in hunting reports, and cases of species misidentification.

Monthly time series of Total Suspended Matter (TSM) from satellite data [mg/l]

Several climate indices, regarding Atlantic Basin: - North Atlantic Oscillation - Southern Oscillation Index - Bivariate ENSO Timeseries - Tropical Northern Atlantic Index - Tropical Southern Atlantic Index - Oceanic Niño Index - Multivariate ENSO Index (MEI V2) - North Tropical Atlantic SST Index - ENSO precipitation index - Northeast Brazil Rainfall Anomaly - Solar Flux (10.7cm) - Global Mean Lan/Ocean Temperature

The Oil Platform Leaks challenge attempts to determine the likely trajectory of the slick and to release rapid information on the oil movement and environmental and coastal impacts in the form of two impacts bulletins at 24 and 72 hours. Each bulletin indicates what information can be provided, evidencing the fitness for use of the current available marine datasets, as well as pointing out gaps in the current Emodnet data collection framework. This first product relies on an oil spill modelling tool operated by CLS and provide the status of datasets for the purpose of the oil Spill simulation exercice. The OSCAR model (Oil Spill Contingency and Response, operated at CLS under license) made available by SINTEF and used to simulate the oil spill fate and weathering at water surface, in the water column and along shorelines. The declarative data given for the OSCAR simulation are: Date and time of oil spill, Location and depth of oil spill, Oil API number or oil type name, Oil spill amount or oil spill rate

'''This product has been archived''' For operationnal and online products, please visit https://marine.copernicus.eu '''Short description''' The Operational Mercator global ocean analysis and forecast system at 1/12 degree is providing 10 days of 3D global ocean forecasts updated daily. 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 temperature, salinity, currents, sea level, mixed layer depth and ice parameters from the top to the bottom over the global ocean. It also includes hourly mean surface fields for sea level height, temperature and currents. The global ocean output files are displayed with a 1/12 degree horizontal resolution with regular longitude/latitude equirectangular projection. 50 vertical levels are ranging from 0 to 5500 meters. This product also delivers a special dataset for surface current which also includes wave and tidal drift called SMOC (Surface merged Ocean Current). '''DOI (product) :''' https://doi.org/10.48670/moi-00016

Seasonal climatology of Water body dissolved oxygen concentration for Loire river for the period 1950-2021 and for the following seasons: - winter: January-March, - spring: April-June, - summer: July-September, - autumn: October-December. Observation data span from 1950 to 2021. Depth levels (m): [0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0, 110.0, 120.0, 130.0]. Data sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVAnd analysis: the computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 15 sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps is 0.01 degrees. Horizontal correlation length is defined seasonally (in meters): 150000 (winter), 100000 (spring), 70000 (summer), 115000 (autumn). Vertical correlation length was optimized and vertically filtered and a seasonally-averaged profile was used (DIVAnd.fitvertlen). Signal-to-noise ratio was fixed to 1 for vertical profiles and 0.1 for time series to account for the redundancy in the time series observations. A logarithmic transformation (DIVAnd.Anam.loglin) was applied to the data prior to the analysis to avoid unrealistic negative values. Background field: the vertically-filtered data mean profile is substracted from the data. Detrending of data: no, advection constraint applied: no. Units: umol/l.