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  • Multibeam echosounder data and seabed sampling data acquired during the INFOMAR national seabed mapping programme were the primary sources of data used in the generation of this marine habitat map. The original classes assigned to the data were translated to the EUNIS habitat classification system as part of the MESH Atlantic project.

  • This classification was produced using approach similar to the used by BGS in creation of seabed sediments maps. The interpretation used data from surface grab samples and surface sub-samples from vibro core samples. Each sample was colour coded following detailed particle size analysis based on Folk classification. This data was incorporated within GIS and interpreted together with multibeam backscatter and shaded relief. This exercise allowed interpolation between areas where sample data was absent. Moreover, this interpretation was supported with video dive data. Thus, this study produced seabed sediment type facies interpretation for selected study areas that added more detail to the existing BGS maps. The original classes assigned to the data were translated to the EUNIS habitat classification system as part of the MESH Atlantic project.

  • Multibeam echosounder data and seabed sampling data acquired during the INSS and INFOMAR national seabed mapping programmes were the primary sources of data used in the generation of this marine habitat map. The original classes assigned to the data were translated to the EUNIS habitat classification system as part of the MESH Atlantic project.

  • Multibeam echosounder data and seabed sampling data acquired during the INFOMAR national seabed mapping programme were the primary sources of data used in the generation of this marine habitat map. The original classes assigned to the data were translated to the EUNIS habitat classification system as part of the MESH Atlantic project.

  • Multibeam echosounder data and seabed sampling data acquired during the 2011 MESH Atlantic survey were the primary sources of data used in the generation of this marine habitat map. Data on kinetic energy, derived from oceanographic models, and all of the interpreted survey data, were combined in a GIS environment and used to generate a EUNIS level 5 habitat map using the Maximum Likelihood Classification tool in ArcMap.