The OSPAR EUNIS Combined map is a full-coverage map displaying the best available habitat data within the reporting region of the North-East Atlantic, classifying habitats to EUNIS 2007 - 2011 level 3 where possible. The product integrates fine, medium and broad-scale habitat maps from survey and fills in any gaps using EUSeaMap 2021.

This dataset has been created in 2022 by Cogea for the European Marine Observation and Data Network (EMODnet). It contains coastal and marine protected areas in the European seas for those countries that are not covered by the the EEA's Common Database on Designated Areas (CDDA). This dataset is entirely based on GIS Data from the World Database on Protected Areas (WDPA), the most comprehensive global database of marine and terrestrial protected areas, plus external links and selected tabular data joined by Cogea to the feature attributes, as well as the calculation of marine and coastal location of features. The WDPA is a joint project between UN Environment Programme and the International Union for Conservation of Nature (IUCN), and is managed by UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry. The whole datatset is made available online through Protected Planet at https://www.protectedplanet.net/en, where the data are both viewable and downloadable, while the EMODnet subset of data is available at the EMODnet Human Activities portal. In the webmap the WDPA dataset has been filtered by Cogea to show only (i) predominantly or entirely marine areas (MARINE field value=2), and (ii) areas, which even if not identified as predominantly or entirely marine in the WDPA, intersect the coastline or are within a distance of 1 km from the coastline. In both cases the COAST_MAR field value=1. The coastline dataset is available at https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis-2 for continental areas, at https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/countries#countries20 for areas in overseas entities. Countries coverage of GIS vector boundary data is: Algeria, Egypt, Georgia, Israel, Lebanon, Monaco, Morocco, Palestine, Russian Federation, Tunisia, Turkey, Ukraine and the United Kingdom (including Guernsey, Isle of Man, and Jersey). For further information please visit the Protected Planet website.

EUNIS 2007-11 habitat map created from data collected on the CEND2213 2013/11/04 survey to North Norfolk Sandbank and Saturn Reef. Sublittoral sediments defined using acoustic and groundtruth data. Survey Techniques: 40 transects. Sidescan sonar and multibeam echosounder, dropcam video tows and still photography. Infaunal sample and particle size analysis (PSA) carried out on 0.1m2 Hamon grab samples. The habitat map was produced using EUNIS classes obtained from PSA data and interpretations from still images, to inform the semi-automated object-based imagery analysis (OBIA). The OBIA divides the bathymetry and backscatter data into meaningful objects based on their spectral and spatial characteristics, which can then be classified using the ground-truthed data.

This dataset shows broad marine habitats in Cork Harbour. The map was made from an interpretation of multibeam acoustic imagery and groundtruthed using sediment samples. The MBES data and sediment samples were collected as part of the Irish national seabed mapping programme - INFOMAR.

This dataset shows broad marine habitats in Kinsale Harbour and outer coastal area. The map was made from an interpretation of multibeam acoustic imagery and groundtruthed using sediment samples. The MBES data and sediment samples were collected as part of the Irish national seabed mapping programme - INFOMAR.

This dataset shows broad marine habitats in Broadhaven Bay. The map was made from an interpretation of multibeam acoustic imagery and groundtruthed using sediment samples. The MBES data and sediment samples were collected as part of the Irish national seabed mapping programme - INFOMAR.

Habitat map created from data collected on the NLV Polestar 2012 survey to Stanton Banks. Sublittoral sediments defined using acoustic and groundtruth data. Initially classified in the MNCR system and subsequently translated in to EUNIS 20017-11. Survey Techniques: Multibeam echosounder, dropcam video tows and still photography. Infaunal sample and particle size analysis (PSA) carried out on 0.1m2 Day grab samples. The habitat map was produced using EUNIS classes obtained from PSA data and interpretations from still images.

Habitat map created from data collected on the RV Cefas Endeavour CEND19x12 2012 survey to Braemar Pockmarks SAC. Sublittoral sediments defined using acoustic and groundtruth data. Classified in EUNIS 20017-11. Survey Techniques: Multibeam echosounder, sidescan sonar, dropcam video tows and still photography. Infaunal sample and particle size analysis (PSA) carried out on 0.1m2 Day and Hamon grab samples. The habitat map was produced using EUNIS classes obtained from PSA data and interpretations from still images.

Habitat map created from data collected on the RV Cefas Endeavour CEND19x12 2012 survey to Scanner Pockmark SAC. Sublittoral sediments defined using acoustic and groundtruth data. Classified in EUNIS 20017-11. Survey Techniques: Multibeam echosounder, sidescan sonar, dropcam video tows and still photography. Infaunal sample and particle size analysis (PSA) carried out on 0.1m2 Day and Hamon grab samples. The habitat map was produced using EUNIS classes obtained from PSA data and interpretations from still images.

Confidence in the classification of energy level in the EUSeaMap (2021) broad-scale predictive habitat map. Values are on a range from 1 (Low confidence) to 3 (High confidence). Energy level 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'. Confidence in the classification of an energy level at any location is driven by both the confidence in the values of the input variables, and the confidence in the classification based on proximity to, and uncertainty in, the boundary between classes (i.e. areas closer to a boundary between two classes will have lower confidence). Layers are also available showing confidence in the values of the input variables used to model energy levels (kinetic energy at the seabed and wave exposure). A report on the methods used in the 2021 version of EUSeaMap (Vasquez et al., 2021) and reports on previous versions (v2016 and V2019) are linked in Online Resources. Created by the EMODnet Seabed Habitats project consortium.