This dataset shows estuaries on the coast of Ireland. The data were collated from the CORINE Land Cover available from Copernicus. The original classes assigned to the data were translated to the Ramsar Wetland Type classification system using EMODnet Seabed Habitat translation tables.

This dataset shows coastal lagoons in Ireland. The data were collated from the CORINE Land Cover available from Copernicus. The original classes assigned to the data were translated to the Ramsar Wetland Type classification system using EMODnet Seabed Habitat translation tables.

This dataset provides a map of Natura 2000 habitats 1130 and 1140 in Sweden. The data were collected for the Swedish Natura 2000 reporting.

Based on DHI operational Hydrodynamic 3D Model DKBS2hd model run results, a point dataset describing for each year the probability of a certain seabed location in the Baltic Sea being located below the deep halocline has been created. The spatial coverage is the Baltic Sea. The spatial resolution is 5km. The temporal coverage is 20 years (2001-2020). The dataset is a point shapefile, the attribute table of which contains the following columns - 20 columns whose name is in the form p[yyyy] (e.g; p2001), where yyyy is the year: for the year yyyy, probability of the point location being located below the deep halocline - column ‘mean’: probability average (i.e. average of the 20 yearly probabilities) - column ‘std’: probability standard deviation across the 20 years The development of the original point dataset was funded by the EMODnet lot ‘Seabed Habitats’ for use in the development of the EUSeaMap product, more specifically in modeling the spatial distribution of the biological zones ‘circalittoral’ and ‘offshore circalittoral’. According to the EUNIS habitat classification, in the Baltic Sea the circalittoral is above the halocline/pycnocline, while the offshore circalittoral is below.

Combined use of optical (satellite imagery), and acoustic (sidescan sonar) remote sensing techniques, as well as in situ methodologies (visual census; SCUBA diving, Towed Underwater Cameras, and Remotely Operated Vehicles) was employed to map the spatial distribution of seagrass habitats in the coastal waters of the Hellenic territory. Seagrass meadows were recorded at approximately 70% of the Hellenic coastline (Eastern Ionian, Aegean and Levantine Seas), and their surface area exceeded 2,673.1 km2. Posidonia oceanica is -by far- the dominant seagrass species of the Hellenic seas, covering the vast majority of seabed at depths between the shoreline and 25 – 30 m (or deeper in insular areas), followed by the species Cymodocea nodosa, Zostera noltei, and Halophila stipulacea, which, however, presenting local presence and limited areal extent. Habitat suitability in terms of the seabed spatial extent that is available for the growth of seagrass meadows (i.e., the spatial extent of coastal areas between the shoreline and the isobath of 20m) and the seawater clarity conditions are highlighted as the critical factors for the formation of well-structured and extensive meadows. The results of this study are of great importance and usefulness for the effective management and conservation of valuable marine ecosystems. Report: Panayotidis Panayiotis, Papathanasiou Vasillis, Gerakaris Vasilis, Fakiris Elias, Orfanidis Sotiris, Papatheodorou Georgios, Kosmidou Maria, Georgiou Nikos, Drakopoulou Paraskevi, Loukaidi Vasiliki (2022). Seagrass Meadows in The Greek Seas. SEANOE. https://doi.org/10.17882/87740

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 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.

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.

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.