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    Data were collected in the framework for the stablishment of the Capo Milazzo AMP. The study was founded by MATTM. The map was constructed by using acustic data, direct observations by ROV and satellite images.

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    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.

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    Confidence in kinetic energy due to currents at the seabed in Macaronesia - Created by the EMODnet Seabed Habitats project consortium. 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

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    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.

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    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

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    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.

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    Confidence in kinetic energy due to waves at the seabed in the Black Sea, created by the EMODnet Seabed Habitats project consortium using the ISPRA Mc-WAF operational tool. 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

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    Kinetic energy due to currents at the seabed in the Iberian peninsula, mean of annual 90th percentile values between 2016 and 2018 - Created using the CMEMS MEDSEA_HINDCAST_WAV_006_012 3-hourly products, postprocessed to evaluate energy at 1m from the seabed. 1/24 degree horizontal resolution (about 3.5 km) Created by the EMODnet Seabed Habitats project consortium using E.U. Copernicus Marine Service Information.

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    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: • 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

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    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