Collation of habitat polygon records contributing to the Geodatabase of Marine features adjacent to Scotland (GeMS). Records are attributed as to their qualification as protected features of protected areas within the Scottish MPA network. Where appropriate typical record details will include: status as Scottish Priority Marine Features or Annex I Habitat, MNCR biotope, EUNIS habitat, date, date range, year, status, accuracy, determiner and details of where the records are sourced from and intellectual property ownership. Polygon area values in the HECTARES field are calculated using ETRS89-LAEA (EPSG:3035) using the standard centre of projection at 10° E, 52° N.

Confidence in the 2016 EUSeaMap Energy class layer, produced by EMODnet Seabed Habitats for the 2016 EUSeaMap broad-scale predictive habitat maps. Values are on a range from 1 (Low confidence) to 3 (High confidence). 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 2016 EUSeaMap Oxygen regime class layer, produced by EMODnet Seabed Habitats for the 2016 EUSeaMap broad-scale predictive habitat maps in the Black Sea. Values are on a range from 1 (Low confidence) to 3 (High confidence). 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

This dataset describes location and area cover for Lithophyllum bissoides platforms along the Maltese coast. Such data was collected under the EMFF 8.3.1 Project. The monitoring was undertaken in line with Malta's monitoring factsheets for the MSFD Directive.

Successive infections with Vibrio harveyi were conducted in two populations of the European abalone in order to examine which genes may be involved in improved survival to the disease in the St. Malo population.

Confidence in kinetic energy due to current values, produced by EMODnet Seabed Habitats for the 2016 EUSeaMap broad-scale predictive habitat maps. 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 full output of the 2016 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats. Values are on a range from 1 (Low confidence) to 3 (High confidence). Confidence is calculated by amalgamating the confidence values of the underlying applicable habitat descriptors used to generate the habitat value in the area in question. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed Substrate Riverine input Confidence in habitat descriptors are driven by the confidence in the source data used to determine the descriptor, and the confidence in the threshold/margin (areas closer to a boundary between two classes will have lower confidence). For each grid cell, the confidence in final habitat class was the minimum of all relevant habitat descriptor confidence scores. Confidence values are also available for each habitat descriptor and input data layer. It is important to note that a habitat type confidence score is only relevant to that particular level of the classification system. For example, a cell of A3.1 high energy infralittoral rock with ‘low’ energy class confidence, ‘moderate’ biozone confidence and ‘high’ substrate type confidence would have an overall ‘low’ confidence. However, moving up the hierarchy to EUNIS level two (A3 infralittoral rock) removes the energy class; therefore, the confidence of the EUNIS level two habitat type would only consider the ‘moderate’ biozone confidence and ‘high’ substrate type confidence, resulting in an overall ‘moderate’ confidence. For details on methodology see: Populus J. And Vasquez M. (Eds), 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer Available from: http://archimer.ifremer.fr/doc/00388/49975/

This data set was obtained during 2 ENVISION-IFREMER field campaigns carried out in 2007 and 2011 to sustain a Pectinid aquaculture project. This project was co-funded by ODEADOM and the public collectivity of Saint Pierre et Miquelon. Potential areas for further aquaculture exploitation and development on the Eastern coast of Saint Pierre et Miquelon.

These data were collected during the 2007 and 2011 ENVISION-Ifremer campaigns to sustain a R & D project focusing on the Pectinid aquaculture development. This project was co-funded by the Saint Pierre et Miquelon public body and ODEADOM. This work aims to assess and select new potential rearing areas for the King scallop Placopecten magellanicus by using bottom type data resulting from 2 mapping campaigns carried out in 2007 and 2011 on the Eastern coast of Saint Pierre et Miquelon archipelago.

Output of the 2016 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats. The extent of the mapped area includes the Mediterranean Sea, Black Sea, Baltic Sea, and areas of the North Eastern Atlantic extending from the Canary Islands in the south to Norway in the North. The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed Substrate Riverine input Habitat descriptors (excepting Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced in Arc Model Builder (10.1). The model was created using raster input layers with a cell size of 0.002dd (roughly 250 meters). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale. The map follows the EUNIS 2007-11 classification system where it is appropriate. For details on methodology see: Populus J. And Vasquez M. (Eds), 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer Available from: http://archimer.ifremer.fr/doc/00388/49975/