Data holdings of individual modelled maps of specific habitats. These models have been collated by EMODnet Seabed Habitats partners from a variety of sources. Ownership of the individual models is retained by the original owners, for more information please see the individual metadata record tied to the model, which can be seen in the data layer. Models are available individually through EMODnet Seabed Habitats' "maplibrary" OGC service endpoints: For WMS (view) access to models, please use https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_view_maplibrary/wms? For WCS (download) access to open models, please use https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_open_maplibrary/wcs?

This dataset provides a map of coastal wetlands from the Finnish coastline. The map is produced from the scope and coverage of peatbogs and wetlands (incl. reed beds) datasets provided by Finnish Environment Institute. The data has been prepared to contain only the coastal wetlands and translated to RAMSAR classifications.

"Site Condition Monitoring has been (SCM) undertaken to determine whether the status of the special interest features which underpin the designation of habitats or areas are being maintained, and to guide site management action where appropriate. This study aimed to provide additional baseline data against which future changes can be measured to support Natural England’s overall programme of monitoring and surveillance of the sites into the future."

This map shows subtidal reef habitats in Kilkieran Bay. MBES bathymetry and its derivatives slope, rugosity and variability, were used in a Random Forest model trained using video sample data to predict high level EUNIS (version 2022) habitats. The MBES bathymetric data were collected as part of the Irish national seabed mapping programme - INFOMAR.

The map shows the distribution of nursery areas in the Italian seas in autumn of Aristeus antennatus. Species data, collected during national trawl survey campains in the period 1994-1996, were elaborated using spatial analysis. The distribution maps were included on a CDROM in their native GIS format and also in PDF format. For more information refer to "GD Ardizzone, F Corsi, S Agnesi, 1999 - Atlante delle Risorse Ittiche Demersali Italiane triennio 1994-1996. Ministero per le Politiche Agricole (RM)

The dataset provides full-coverage maps of the habitats and biotopes in the German Baltic Sea at a resolution of 1 x 1 km for the entire region and at 50 x 50 m resolution in specific areas. We combined geological and biological surveys to map the seabed and collected extensive data to classify different habitats and their associated benthic communities. Using newly established national guidelines and predictive habitat modelling, we produced highly accurate maps. For upload to EMODnet four separate maps were made: - Broad Habitat Types according to the Marine Strategy Framework Directive (MSFD). - Annex I Habitat types - Habitat types classified according to the Baltic Sea-wide HELCOM underwater biotope and habitat classification (HUB) - other habitat types, OHTs for German marine waters include biotope types according to S30 of the German Federal Nature Conservation Act (BNatSchG), according to the European Habitats Directive (92/43/EEC), as well as the Baltic Sea-wide HELCOM Red List types

Confidence in the classification of: - the Marine Strategy Framework Directive (MSFD) Benthic Broad Habitat Types (V. 2017) - the EUNIS 2019 habitat types - the Helcom Hub regional classification system habitat types - the Barcelona Convention classification system habitat types in the EUSeaMap (2023) broad-scale predictive habitat map. Values are 1 (Low confidence), 2 (Moderate confidence) or 3 (High confidence). The final habitat type is classified by overlaying several layers of information; these layers of information are collectively known as 'habitat descriptors'. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed substrate Riverine input The confidence in the classification of the habitat type is taken as the minimum of the confidence in all of the relevant habitat descriptors at that location. Confidence values are also available for each habitat descriptor and input data layer. Detailed information on the modelling process is found in the EMODnet Seabed Habitats technical reports and appendices (links in Resources). Created by the EMODnet Seabed Habitats project consortium. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (www.emodnet-seabedhabitats.eu), funded by the European Commission. It is important to note that a habitat type confidence score is only relevant to that particular level of the classification system.

Confidence in the classification of the EUNIS 2007 habitat types in the EUSeaMap (2023) broad-scale predictive habitat map. Values are 1 (Low confidence), 2 (Moderate confidence) or 3 (High confidence). The final habitat type is classified by overlaying several layers of information; these layers of information are collectively known as 'habitat descriptors'. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed substrate Riverine input The confidence in the classification of the habitat type is taken as the minimum of the confidence in all of the relevant habitat descriptors at that location. Confidence values are also available for each habitat descriptor and input data layer. Detailed information on the modelling process is found in the EMODnet Seabed Habitats technical reports and its appendices (links in Resources). Created by the EMODnet Seabed Habitats project consortium. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (www.emodnet-seabedhabitats.eu), funded by the European Commission. It is important to note that a habitat type confidence score is only relevant to that particular level of the classification system. For example, a cell of A3.1 high energy infralittoral rock with ÔÇÿlowÔÇÖ energy class confidence, ÔÇÿmoderateÔÇÖ biozone confidence and ÔÇÿhighÔÇÖ substrate type confidence would have an overall ÔÇÿlowÔÇÖ confidence. However, moving up the hierarchy to EUNIS level two (A3 infralittoral rock) removes the energy class; therefore, the confidence of the EUNIS level two habitat type would only consider the ÔÇÿmoderateÔÇÖ biozone confidence and ÔÇÿhighÔÇÖ substrate type confidence, resulting in an overall ÔÇÿmoderateÔÇÖ confidence.

Confidence in the classification of substrate type in the 2023 EUSeaMap broad-scale predictive habitat map. Values are on a range from 1 (Low confidence), 2 (Moderate confidence), 3 (High confidence). Substrate type is one of the layers of information used to categorise physical habitat types in EUSeaMap; these layers of information are collectively known as 'habitat descriptors'. The substrate layer confidence was obtained from reclassification and standardisation of the confidence scores associated with each primary layer used to create the Substrate types layer. A report on the methods used in the 2023 version of EUSeaMap and reports on previous versions (v2019 and V2021) are linked in Online Resources.

Energy class layer produced by EMODnet Seabed Habitats as an input layer for the 2023 EUSeaMap broad-scale habitat model. The extent of the mapped area includes the Baltic Sea, and areas of the North Eastern Atlantic and Arctic extending from the Canary Islands in the south to Norway in the North. The map of energy classes was produced using underlying wave and current data and thresholds derived from statistical analyses or expert judgement on known conditions. This layer was updated in EUSeaMap 2023 using a new wave Kinetic energy at the seabed layer for the European Shelf area. A report on the methods used in the 2023 version of EUSeaMap and reports on previous versions (v2019 and V2021) are linked in Online Resources.