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.

This dataset stems from the Joint Research Centre (JRC) Biomass Mandate (https://knowledge4policy.ec.europa.eu/projects-activities/jrc-biomass-mandate_en) and it is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu) and on the platform from the European Commission’s Knowledge Centre for Bioeconomy (https://knowledge4policy.ec.europa.eu/visualisation/bioeconomy-different-countries_en#algae_prod_plants). Its aim is to build a reliable database to characterize the algae sector and to support informed European policies on Blue Growth and Bioeconomy. More detailed information on the Status of the Algae Production Industry in Europe can be found in a JRC-led study published in Frontiers in Marine Science (https://publications.jrc.ec.europa.eu/repository/handle/JRC122250). Information on the location (geographic coordinates) of the production facilities, group of produced organism (macroalgae, microalgae and spirulina), production method (Fermenters, Harvesting , Photobioreactors, Open ponds, Semi Open ponds, land-based or at sea Aquaculture, Integrated multi-trophic or not) and species (see dataset) have been collected in the following countries: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Faroe Islands, France, Germany, Greece, Greenland, Hungary, Iceland, Ireland, Italy, Latvia, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the UK. In November 2021, the JRC has updated the database with the latest information on the production units operational at the time.

The EEA coastline dataset is created for detailed analysis with a Minimum Mapping Unit of e.g. 1:100000, for geographical Europe. The coastline is a hybrid product obtained from satellite imagery from two projects: 1) EUHYDRO (Pan-European hydrographic and drainage database) [https://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and 2) GSHHG (A Global Self-consistent, Hierarchical, High-resolution Geography Database) [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [https://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). In this revision (v3, 2017), 2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons. This dataset is a polygon usable as a water-land mask.

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 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.

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

This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg in Germany. The NUTS classification has been officially established through Regulation (EC) No 2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available under the Download link indicated below. Available scales are 1M, 3M, 10M, 20M, 60M). The full dataset is available via the EC restricted download link under GISCO.NUTS_2016. Here six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are available. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2013.

The database on marine finfish aquaculture in the EU was created in 2017 by AND-International for the European Marine Observation and Data Network (EMODnet). The dataset provides information about the location of marine finfish farms in the EU and partner countries where data are available. There is an obligation for EU MS to inventory all authorized aquaculture sites under the Council Directive 2006/88/EC on animal health requirements. Despite this obligation, the availability of data varies among MS from no data available at all to a complete regularly updated dataset (e.g.in Ireland). As far as partner countries are concerned, data have been collected only in Norway and the UK (Scotland only) at this stage, where detailed data are provided online. Data provided here cover Cyprus, Danmark, Finland, Greece, Ireland, Malta, Norway, Spain and the UK (Scotland only). Data collection is still undergoing in other EU MS and neighbouring countries. Each point has the following attributes (where available): Country, Owner name, Status (Active, Expired, Inactive, Renewal, n.a.), Farm type (Flatfish, Diversified farm, Other specialised farm, Salmon, Salmonids, Seabass-seabream, Trout,Tuna, n.a.), Production method (Sea cages, Saltwater tanks/raceways, Saltwater ponds, Saltwater closed (recirculation), Quarantine, Other, n.a.), Production stage (Grow out for human consumption, Hatchery, Nursery, Brood stock, Reproduction, Restoration of wild stock, Put and take fisheries, Processing facility, Salughtering facility, Other, n.a.), Purpose (Commercial, Restocking, Other, n.a.), Products detailed (detailed product information names as presented in the source and translated to English), Point information (Polygon centroid, Original) depending on how the information is provided in the source (polygons or points), Site_ID. The farm type relies on a typology established by AND-International, based on available information on species grown. A relational table provides harmonised information about species grown using Eurostat nomenclature for the Species Group (Cods, hakes, haddocks; Flounders, halibuts, soles; Miscellaneous coastal fishes, Miscellaneous demersal fishes; Miscellaneous pelagic fishes; Salmons, trouts, smelts;Tunas, bonitos, billfishes), the species name (commercial and scientific) and the code. 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.

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 first public version released of the MRUs used during the first cycle of implementation of the MSFD (2012-2018) in all the reporting exercises (2012 reporting of Articles 8, 9 and 10; 2014 reporting of Article 11; and 2016 reporting of Articles 13 & 14). The data set is distributed in SHP and in INSPIRE-compliant GML format.

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.