Frise chronologique des millésimes de modes d'occupation des sols produits par les régions françaises et par le programme Corine Land Cover.

RasterMarine is a series of digital images taken from nautical charts, with no additions, legends or georeferencing information. The RasterMarine range is available at six sets of scales: - RasterMarine10 1:10,000 - RasterMarine25 1:25,000 - RasterMarine50 1:50,000 - RasterMarine100 1:100,000 - RasterMarine350 1:350,000 - RasterMarine1M 1:1,000,000. Unless exceptional circumstances apply, the RasterMarine range is updated on a weekly basis and the modified grid squares are re-published, replacing the previous versions. All corrections, publications, editions and suppressions with an effect on the reference nautical charts are taken into consideration. <br /> 15/01/2026 version <br />

The Sir Alister Hardy Foundation for Ocean Science (SAHFOS) is an international charity that operates the Continuous Plankton Recorder (CPR) Survey. The dataset covers the North Atlantic and the North Sea on since 1958.

The database on shellfish aquaculture in the EU was created in 2014 by AND-International for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by national sources across the EU (plus Norway) and by the project Euroshell. Data are available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The database contains points representing shellfish farms or shellfish production areas (depending on available data) in the following countries: Bulgaria, Denmark, France, Greece, Ireland, Italy, Netherlands, Norway and United Kingdom. Spanish data is provided separately through WMS services. Data is missing for Germany, Portugal, Sweden, Croatia and Slovenia. Except for Germany, the shellfish production remains limited in those MS. There is no production in other MS. Each point has the following attributes (where available): status (active, inactive), country, owner name, farm type (Mussels, Oysters, Mussels-Oysters, Clams, Specialised (other), Mixed (other)), production method (Long lines, Trestles or trays, Tanks, Rafts, Beds, Raceways), production stage (Grow out for human consumption, Hatchery, Nursery, Broodstock, Reproduction, Harvest, Other), purpose (Commercial, Research, Education, Display, Other), species detailed (English translation of the information provided on species grown or authorised in the source), point information (Polygon centroid, Original) depending on how the information is provided in the source (polygons or points), site_id, distance to coast (metres), position from coastline (At sea, within the coastline). The farm type relies on a typology established by AND-International, based on available information on species grown or authorised. A relational table provides harmonised information about species grown or authorised using Eurostat nomenclature for the Species Group (Mussels; Oysters; Clams, cockles, arkshells; Scallops, pectens; Abalones, winkles, conchs; Sea-urchins and other echinoderms) and when available the species name (e.g. Blue mussels - Mytilus edulis). The distance to coast (EEA coastline shapefile) has been calculated using the original data map projections, where available. In the other cases it was used the UTM WGS84 Zone projected coordinate system where data fall in. Compared with the previous version this new version has been not only updated but was also reviewed (dataset schema and attributes values), in order to add information on production methods, production stages and purposes and to provide a more useful typology based on species grown. Data from Norway and Bulgaria have been added. Data from France relies on cadastral data rather than large production areas in the previous database.

The dataset on offshore installations for Oil and Gas exploitation and exploration activities was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The dataset contains points representing offshore installations and where available each point has the following attributes: ID, name, country, location block, operator, production start year, primary production, current status, category and function of the installation, sub-structure and topside weights (tonnes), water depth (metres), distance to coast (metres) and remarks. The OSPAR commission source covers data for Germany, Ireland, Spain and the United Kingdom, while for Italy data have been collected and harmonized from the Italian Ministry of Economic Development, for Norway from the Norwegian Petroleum Directorate, for Denmark from the Danish Energy Agency, for the Netherlands from the TNO - Geological Survey of the Netherlands, for Croatia from the Croatian Hydrocarbon Agency, from Marine Traffic and Helcom data on Polish and Russian installations in the Baltic Sea, from Marine Traffic data on Bulgarian, Russian and Ukrainian installations in the Black Sea, Lybian and Spanish installations in the Mediterranean Sea. Compared with the previous version this new version has been updated for all countries.

DTM of continental margin of Cantabric Sea, resolution 100 meters. This DTM includes the whole area from coast line to deepest level (5544,23 m).

The dataset shows the percentage of cities' administrative area (core city based on the Urban Morphological Zones dataset) inundated by the sea level rise of 1 metre, without any coastal flooding defences present for a series of individual coastal European cities (included in Urban Audit). The dataset has been computed using the CReSIS (Centre for Remote Sensing of Ice Sheets) dataset for 2018.

L’objectif général de ce projet de thèse est d’analyser et d’évaluer les données sources (actuelles et potentielles) des matrices de changements d’occupation du sol afin d’améliorer la robustesse de l’inventaire. Il s’agit d’expertiser par une démarche scientifique la pertinence des travaux réalisés annuellement pour l’inventaire UTCATF. En particulier, il s’agit de comprendre les causes des incertitudes des données sources ; compiler les données disponibles et leurs métadonnées ; étudier qualitativement les dynamiques paysagères décrites ; et redéfinir un cadre méthodologique permettant d’estimer des taux de changements plus pertinent.

The Marine Reporting Units (MRUs) are used within the reporting obligations of the Marine Strategy Framework Directive (MSFD) in order to link the implementation of the different articles to specific marine areas. The MRUs can be of varying sizes, according to the appropriate scale for the different reports (e.g. region, sub-region, regional or sub-regional subdivision, Member State marine waters, WFD coastal waters, etc.), as indicated in the Good Environmental Status 2017 Decision. The present data set is the second public version released of the MRUs used during the MSFD 2018 reporting exercise on the update of Articles 8, 9 and 10. Only the MRUs of those countries that have gone through the reporting exercise by June 2020 have been included in this data set. Apart from the countries included already in version 1 of the dataset (SE, FI, EE, LV, PL, DE, DK, NL, BE, FR, ES, HR and RO), this version also includes seven more countries, namely MT, LT, IT, SI, CY, PT and IE. The data set is distributed in SHP and in INSPIRE-compliant GML format, made available also through an INSPIRE compliant ATOM service.

List of fish stocks referenced for the year 2018. The repository includes 477 stocks. Each stock is identified by a unique key in accordance with the ICES codification in use. Each record contains a stock identifier, a species or group of species identifier according to the ASFIS/FAO classification, the English stock name, the Latin name of the species, the assessment area according to the FAO codification of fishing sectors. When the stock assessment area groups a series of sectors, the first and last sectors in the series are separated by a dash.