La Base Adresse Nationale est une base de données qui a pour but de référencer l'intégralité des adresses du territoire français. Elle contient la position géographique de plus de 25 millions d'adresses. Elle est constituée par la collaboration entre : des acteurs nationaux tels que l'IGN, La Poste et La Poste ; des acteurs locaux tels que les collectivités, les communes, les SDIS  ; des citoyens par exemple à travers le projet OpenStreetMap et l'association OpenStreetMap France. Le projet est co-gouverné par l'Administrateur Général des Données et le Conseil National de l'Information Géographique. --- Etat de disponibilité de la donnée : Data.gouv : donnée téléchargeable en csv et mise à jour hebdomadaire. OpenStreetMap : donnée téléchargeable en csv, shape et json et mise à jour hebdomadaire. PIGMA : lien qui renvoie à la BD Adresse (Octobre 2016). Mise à jour irrégulière.

Temporal series (annual mean values) of temperature for each river mouth.Temporal series (annual mean values) of temperature for each river mouth.

Temporal series (annual mean values) with error of estimation and Long Term Average (LTA) with error of estimation of total nitrogen load for each river mouth where in situ data is available. Different sources can be mixed if any.

Calculation of the average annual sediment balance per stretch of coast for the past 50 years for all coastal zones bordering the North Atlantic Ocean. For this scale of study, this has been interpreted in terms of shoreline advance / retreat in mm/year. Required data sources are therefore national or international datasets giving this parameter directly. It is also possible to utilise more aggregated data sources, but annual values would then be approximated from them. The main challenge in producing this product lies with obtaining datasets which include this data from multiple countries and potentially multiple languages, since this data is usually produced as a result of comparatively small scale studies.

Temporal series (annual mean values) and Long Term Average (LTA) of sediment load for each river mouth where in situ data is available. Different sources can be mixed if any.

This product is a map of the uncertainty of available digital bathymetry measurements for the North Atlantic Ocean. This is done for a spatial resolution feasible for this large area (25km x 25km). It is designed to assess the quality of the bathymetry readings with a view to supporting assessments of future need. The product is formulated through a number of characteristics of the data including age of measurement and slope.

The Joint WMO-IOC Technical Commission for Oceanography and Marine Meteorology Observing Programmes Support Centre, provides technical coordination at international level for the sustained elements of the Global Ocean Observing System. The Centre monitors in real-time the status of the observing networks and provides a toolbox to evaluate their performance and optimize their implementation and data flow. Currently OceanOPS monitors the Argo profiling floats, the DBCP surface drifters, coastal and tropical moorings, ice buoys, tsunami buoys, the OceanSITES moorings time-series, the GO-SHIP hydrographic reference lines, the SOT mat/ocean ship based observations and the GLOSS sea level tide gauges. A number of other observing systems are being added gradually, including ocean gliders, polar systems, marine mammals and potentially HF radars.

ICES hosts data collected from both net trawl surveys (primarily bottom trawling), and from echo sounding (acoustic sampling in the pelagic zone). The net trawls are primarily hosted in the DATRAS data portal, and the acoustics in the acoustic trawl surveys portal. DATRAS (the Database of Trawl Surveys) stores data collected primarily from bottom trawl fish surveys coordinated by ICES expert groups. The survey data are covering the Baltic Sea, Skagerrak, Kattegat, North Sea, English Channel, Celtic Sea, Irish Sea, Bay of Biscay and the eastern Atlantic from the Shetlands to Gibraltar. At present, there are more than 45 years of continuous time series data in DATRAS, and survey data are continuously updated by national institutions. The acoustic database hosts information on fisheries observations collected from various pelagic surveys coordinated by ICES and falls into two categories: acoustic data, derived from readings taken on vessels, and those obtained through trawls in the open ocean – pelagic – zone. Combined, this provides key biological data on fish stocks such as herring, mackerel and blue whiting as well as krill and other prey species. The data from both systems are used for stock assessments and fish community studies by the ICES community and form the basis of management advice to the relevant regulatory bodies.

Maps of seasonal p90 (percentile 90) of Chla on the North Atlantic basin for the past ten years (2005-2014) using the Global Copernicus chla level 4 (L4) products (resolution of 4 km). Method as Gohin Francis, Saulquin Bertrand, Bryere Philippe (2010) Atlas de la Température, de la concentration en Chlorophylle et de la Turbidité de surface du plateau continental français et de ses abords de l’Ouest européen. Ifremer. http://archimer.ifremer.fr/doc/00057/16840/

We took inspiration from a “Matrix of marine activities” (appropriate for each IUCN management category) extracted from IUCN paper, to achieve the first objective by computing 1 product comprising the following 12 components: Product ATLANTIC_CH02_Product_1 / MPA Atlantic network classified in IUCN classification • Traditional fishing area • Sustainable fishing area (industrial) • Leisure fishing area • Leisure activity area (diving, surfing, tourist beaches) • Shipping area (shipping trajectory, aids navigation) • Scientific activity area • Renewable energy generation facility area (ocean energy facilities, wind farms) • Aquaculture area (finfish production, shellfish production) • Shipping infrastructure area (harbours, dredging area...) • Waste discharge area • Mining area (aggregate extraction, hydrocarbon extraction) • Habitation area (urban area) Each geographic information required for the components was compiled into a layer in grid format. These grids were intersected with the MPAs layer to assign each MPA a IUCN category according to the conditional matrix illustrated below : If the MPA area contains : Habitation area (urban area) The IUCN category is :V If the MPA area contains : Mining area (aggregate extraction, hydrocarbon extraction) The IUCN category is V If the MPA area contains : Waste discharge area The IUCN category is : V If the MPA area contains : Shipping infrastructure area (harbours, dredging area...) The IUCN category is IV If the MPA area contains : Aquaculture area (finfish production, shellfish production) The IUCN category is IV If the MPA area contains : Renewable energy generation facility area (ocean energy facilities, wind farms) The IUCN category is IV If the MPA area contains : Leisure fishing area The IUCN category is IV If the MPA area contains : Sustainable fishing area (industrial) The IUCN category is IV If the MPA area contains : Shipping area (shipping trajectory, aids navigation) The IUCN category is II If the MPA area contains : Leisure activity area (diving, surfing, tourist beaches) The IUCN category is Ib If the MPA area contains : Traditional fishing area The IUCN category is Ib If the MPA area contains : Scientific activity area The IUCN category is Ia