Confidence in kinetic energy due to waves at the seabed in the Atlantic. Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: ÔÇó Quality of training data and methods used to construct the model. ÔÇó Temporal resolution. ÔÇó 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

Under a specific contract for the EUSeaMap project (ABPMer, 2010), energy layers were produced for the North and Celtic seas. Energy layers are built using data from National Oceanographic Centre (NOC) wave (ProWAM at a resolution of 12.5km) and current models (the CS20, CS3 and NEA models at resolutions of 1.8km, 10km and 35km respectively). A high resolution (~300m) bespoke wave model based on the DHI Spectral Wave model was used to augment the coastal areas where the ProWAM model resolution was inadequate. Wave and current data were combined to produce the input energy layer for the EUSeaMap model. Wave data (wave base derived from peak wave periods) were also used to define the boundary between the circalittoral and deep circalittoral biological zones.The kinetic energy due to wave action at the seabed has been expressed here as KE = › ?wUwp2, where Uwpis the peak value of water particle velocity on the seabed during the passage of the wave. The value of Uwphas been predicted using linear wave theory.A series of some 24 bespoke wave models which cover the full extent of the UK coastline, including Northern Europe and Ireland have been constructed using MIKE21-SW to support production of the KE outputs. Wave height exceedance probabilities were calculated based on the average 5-years of ProWAM data for years 2000 to 2005, these wave parameters were used to calibrate the local wave models and provide information in the open coastal sections of the data layer's extent.

This dataset shows the potential and high confidence mapped extents of Annex I habitat 'Sandbank' within the boundaries of the UK continental shelf. 'Sandbank' here refers to the habitat (1110) listed under Annex I of EC Directive 92/43/EEC of 21 May 1992 on the conservation of natural habitats and of wild fauna and flora ÔÇô commonly known as the Habitats Directive. This dataset is presented in its most detailed form so you can fully interrogate the dataset and all its underlying attributes representing the underlying logic and data sources resulting in areas of 'Potential' or 'High' confidence Annex I Sandbanks. Where areas of Sandbank contain differing underlying attributes, descriptor values or data sources, a single Annex I feature may be represented by multiple polygons. These subdivisions are irrelevant in terms of the overall extent of the feature. Additional information source: Pinder, J. (2020). Method for Creating version 3 of the UK Composite Map of Annex I Sandbanks slightly covered by seawater all of the time.

Shapefile showing areas where ice concentration in the Barents Sea in 2018 was on average more than 20%. The 20% threshold was derived from WMO ice classification and corresponds to "Very open drift ice". Data averaged by Ifremer and NIVA derived from CMEMS (Copernicus) ice concentration product (resolution 1km, temporal resolution 1 year- 2018). Used in EUSeaMap 2019 as a proxy for the polar front affecting distribution of seabed habitats. Created by the EMODnet Seabed Habitats project consortium.

Confidence in kinetic energy due to waves at the seabed in Macaronesia, Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: ÔÇó Quality of training data and methods used to construct the model. ÔÇó Temporal resolution. ÔÇó 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 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: ÔÇó Quality of training data and methods used to construct the model. ÔÇó Temporal resolution. ÔÇó 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 kinetic energy due to currents at the seabed in the Black Sea, created by the EMODnet Seabed Habitats project consortium. Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: ÔÇó Quality of training data and methods used to construct the model. ÔÇó Temporal resolution. ÔÇó 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 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: ÔÇó Quality of training data and methods used to construct the model. ÔÇó Temporal resolution. ÔÇó 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 the Atlantic Sea - Iberian Biscay Ireland, mean of annual 90th percentile values between 2013 and 2018 - Created using the CMEMS IBI_ANALYSIS_FORECAST_PHYS_005_001 monthly mean products, postprocessed to evaluate energy at 1m from the seabed 1/36 degree horizontal resolution Created by the EMODnet Seabed Habitats project consortium.

Confidence in kinetic energy due to waves at the seabed in the Black Sea. Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: ÔÇó Quality of training data and methods used to construct the model. ÔÇó Temporal resolution. ÔÇó 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