Digital Terrain model of the coastal areas of mainland Portugal obtained from a survey with LiDAR technology during the year 2011. This information can be found in the reference system PT-TM06 (ETRS89) .This project is a partnership between the General Directorate of Territory (DGT) and the Portuguese Environment Agency (APA), within the scope of the National Strategic Reference Framework.

Digital Terrain model of the coastal areas of mainland Portugal obtained from a survey with LiDAR technology during the year 2011. This information can be found in the reference system PT-TM06 (ETRS89) .This project is a partnership between the General Directorate of Territory (DGT) and the Portuguese Environment Agency (APA), within the scope of the National Strategic Reference Framework.

Digital Terrain model of the coastal areas of mainland Portugal obtained from a survey with LiDAR technology during the year 2011. This information can be found in the reference system PT-TM06 (ETRS89) .This project is a partnership between the General Directorate of Territory (DGT) and the Portuguese Environment Agency (APA), within the scope of the National Strategic Reference Framework.

Digital Terrain model of the coastal areas of mainland Portugal obtained from a survey with LiDAR technology during the year 2011. This information can be found in the reference system PT-TM06 (ETRS89) .This project is a partnership between the General Directorate of Territory (DGT) and the Portuguese Environment Agency (APA), within the scope of the National Strategic Reference Framework.

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 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

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 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.

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