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  • Categories  

    The dataset contains integrated values of total and mesopelagic backscatter for an EK60 38 kHz echosounder, from ~25 to 1000 m depth, collected during May and June 2013 during a Norwegian trans-atlantic cruise. Data is based on integration of data cleaned with automatic filters using KORONA, and manual cleanup of remaining problems (false bottoms etc.). All backscatter deeper than 200 m were then assigned to the mesopelagic category, with backscatter shallower than 200 m reported in the total category.

  • Collated substrate data in the Irish Designated Shelf Area. Substrates are classified using modified Folk categories facilitating an easy transition to EUNIS. Survey and classification techniques depend on the original source/data creator of the individual component subsatrate maps that make up the entire dataset. Data contributors include the Marine Institute (Ireland), Geological Survey of Ireland, INSS, INFOMAR, HabMap, Irish Sea Fisheries, National Parks and Wildlife Service, Coastal and Marine Research Centre, and the Joint Nature Conservation Committee (UK).

  • Predicitive habitat model of Lophelia pertusa distribution in Hatton Bank and George Bligh Bank

  • Map based on available information of marine charts and two surveys. Preliminary map preparation involved scanning, georeferencing and digitizing of pre-existing base map from the Portuguese Hydrographic Institute and harmonization with other published and non-published cartographic information. Samples of soft bottom shelf sediments from nearly 100 sites, collected in the scope of the ACOSHELF project, were analyzed for grain-size, total organic matter and macrofaunal comunities.

  • Categories  

    The hydrodynamic circulation model results are retrieved from an ocean model version of the Regional Ocean Modeling System (ROMS) (www.myroms.org, Haidvogel et al, 2008, Shchepetkin and McWilliams 2005, 2009) applying a horizontal resolution of 800m. This model covers the entire Norwegian coast and parts of the adjacent seas, and the technical details are described in Albretsen et al. (2011). At the surface the ocean model applied atmospheric fields from a high-resolution simulation with the WRF meso-scale wind model (www.wrf-model.org<http://www.wrf-model.org/>, Dudhia, 1993). The model statistics were retrieved from two separate simulations covering the period from January-August both in 2013 and 2014. Tidal forcing was retrieved from the global TPXO model of ocean tides (Egbert and Erofeeva, 2002) and added along the open boundary in addition to daily averaged surface elevation, currents and hydrography from the operational forecast from the Norwegian Meteorological Institute. No data assimilation or any kind of surface relaxation was used.

  • Confidence in kinetic energy due to currents at the seabed in the Barents Sea - calculated from S800 Barents Sea Model (see: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016GL068323) Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: • Quality of training data and methods used to construct the model. • Temporal resolution. • Spatial resolution Detailed information on the confidence assessment in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975

  • The BarentsSea-800m model is run and disseminated by the Institute of Marine Research, Norway. S800 is a renewed version of the 800m-model system described in Hattermann et al. (2016) run for the years 2007-2010, while the B800-model is based on a one-year simulation (2010) using similar external forcings as the S800-model. More details available here: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016GL068323

  • The Svalbard-800m model is run and disseminated by the Institute of Marine Research, Norway. S800 is a renewed version of the 800m-model system described in Hattermann et al. (2016) run for the years 2007-2010, while the B800-model is based on a one-year simulation (2010) using similar external forcings as the S800-model. More details available here: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016GL068323

  • Confidence in kinetic energy due to currents at the seabed in Svalbard - calculated from S800 Svalbard Model (see: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016GL068323) Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: • Quality of training data and methods used to construct the model. • Temporal resolution. • Spatial resolution Detailed information on the confidence assessment in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975

  • Simplified map of the superficial sediments of the Portuguese continental shelf, based on available information of marine charts and various surveys.Preliminary map preparation involved scanning, georeferencing and digitizing of pre-existing base maps from the Portuguese Hydrographic Institute and harmonization with other published and non-published cartographic information. Samples of soft bottom shelf sediments from nearly 500 sites, collected in the scope of the MeshAtlantic, RENSUB and ACOSHELF projects, were analyzed for grain-size and total organic matter.