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  • 90th percentile Kinetic energy due to waves at the seabed in the Azores - Created by the MARETEC team at Instituto Superior Técnico (IST) (Technical University of Lisbon, Portugal) using WAVEWATCH III model. For the purpose of MeshAtlantic Project, values were integrated over 3 years. Values are averages of annual percentiles 90th. The spatial resolution of the dataset is 0.0027 decimal degrees (250m), but it has been resampled from an original dataset, the spatial resolution of which is 0.05 decimal degrees (4.5km)

  • Confidence in kinetic energy due to currents at the seabed in the Mediterranean. 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

  • Confidence in the 90th percentile Kinetic energy due to waves at the seabed in the Celtic Sea, Channel and Bay of Biscay. 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

  • Kinetic energy due to waves at the seabed in Macaronesia, mean of annual 90th percentile values between 2016 and 2018 - Created using the CMEMS GLOBAL_ANALYSIS_FORECAST_WAV_001_027 3-hourly products, postprocessed to evaluate energy at 1m from the seabed. 1/12 degree horizontal resolution Created by the EMODnet Seabed Habitats project consortium using E.U. Copernicus Marine Service Information.

  • The HABMAP project was set up in response to the need for better spatial awareness of habitat distributions in the Southern Irish Sea. This work produced habitat maps of the seabed using novel predictive modelling techniques. This dataset is related to the predictive modelling only. The HABMAP Extension Project has built on the methods developed during the original project, and has repeated the modelling work using higher resolution / improved input datasets to help increase the accuracy of the predictive map outputs. The modelling work has also been extended to cover all of Welsh waters (previously cut-off at the Interreg funding boundary), notably including the Dee and Severn estuaries. The purpose of this data capture was to provide seabed habitat maps that could be used for conservation and management. Project outputs might be used in strategic planning, decision making for offshore developments, Marine Protected Area selection, sensitivity mapping and mapping essential fish habitats. However, because of the way the has been produced, and the fact that some data has been modelled and derived, the maps are not appropriate to act as the sole evidence for any specific planning or regulatory decision or assessment without further supporting studies or evidence. The project boundaries were as follows: Southern Irish Sea- land-based boundaries include the whole Welsh coast to the English border on the east side of the Dee Estuary in the north, and the whole Severn Estuary and Bristol Channel coastline in the south, extending as far as Morte Point (east of Ifracombe) in England. The southern project boundary then extends offshore (skirting the northern tip of Lundy) across to a point approx 60km west of Waterford on the Irish coast, including the whole SE Ireland coastline and offshore banks as well as parts of the Celtic Sea. The boundary then extends northwards along the Irish coast to a point approximately 40 km north of Dublin. The outputs of the project included a Combined Level3/Level4 habitat map, presented here after translation to the EUNIS habitat classification system from the Marine Habitat Classification System for Britain and Ireland. Each polygon of the original output contained up to 46 different biotopes, either predicted by the model or recorded as present, and presented in order of likelihood. Only the primary biotope has been taken from the original dataset to produce this EUNIS output, polygons originally containing more than one habitat are flagged in the "VAL_COMM" field. Information on whether the biotope was recorded as present or was a predictive output of the model, and a confidence value present in the original dataset have also been recorded in the "VAL_COMM" field

  • Average density at the seabottom in the Black Sea - Created using the CMEMS salinity reanalysis dataset (SV04-BS-CMCC-SAL-REAN-M) of the BLKSEA_REANALYSIS_PHYS_007_004 product and monthly potential temperature at the seabottom, postprocessed to evaluate the salinity at the seabottom and using the (linearised) equation of state to evaluate seabottom density. 1/36 x 1/27 degree (3 km) resolution. Created by the EMODnet Seabed Habitats project consortium using E.U. Copernicus Marine Service Information.

  • Kinetic energy due to waves at the seabed in the Black Sea, mean of annual 90th percentile values between 2016 and 2018 - Created using the ISPRA Mc-WAF operational tool, designed to merge different scales for the generation and propagation of the wave energy in the Mediterranean and Black Sea. 1/128 degree horizontal resolution. Created by the EMODnet Seabed Habitats project consortium using the ISPRA Mc-WAF operational tool.

  • Confidence in kinetic energy due to currents at the seabed in the Iberian peninsula, created by the EMODnet Seabed Habitats project consortium using E.U. Copernicus Marine Service Information. 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

  • Kinetic energy due to currents at the seabed in Macaronesia, mean of annual 90th percentile values between 2016 and 2018 - Created using the CMEMS IBI_ANALYSIS_FORECAST_PHYS_005_001 daily mean products, postprocessed to evaluate energy at 1m from the seabed. 1/36 degree horizontal resolution Created by the EMODnet Seabed Habitats project consortium.

  • Kinetic energy due to currents at the seabed in the Black Sea, mean of annual 90th percentile values between 2016 and 2018 - Created using the CMEMS SV03-BS-CMCC-CUR-AN-FC-D product and 2018 EMODnet bathymetry digital elevation model, daily currents postprocessed to evaluate energy values at 1 m from the seabed. 1/36 x 1/27 degree (3 km) horizontal resolution. Created by the EMODnet Seabed Habitats project consortium.