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The dataset on status of bathing waters in the EU was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is based on the dataset 'Bathing Water Directive - Status of bathing water' provided by The European Topic Centre on Water and made available by the European Environment Agency at https://www.eea.europa.eu/data-and-maps/data/bathing-water-directive-status-of-bathing-water-14. The EU Bathing Water Directive requires Member States to identify popular bathing places in fresh and coastal waters and monitor them for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September. The dataset presents the latest information as reported by the Member States, Albania, Switzerland and the United Kingdom for the 2021 bathing season, as well as some historical data since 1990, and it is available for viewing and download on EMODnet - Human Activities web portal (https://emodnet.ec.europa.eu/en/human-activities). Only coastal and transitional sites are shown on the viewer, while the dataset also contains lake and river sites. The geographic coverage is: Albania, Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, and the United Kingdom. More information are available at https://rod.eionet.europa.eu/obligations/787. Classifications were not made for the UK sites for the 2020 season due to the impact of the COVID-19 pandemic on the sampling programme. Compared with the previous version, the dataset has been updated according to the latest EEA version. 2021 data for UK sites come from national authorities.
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
Kinetic energy due to currents at the seabed in the Black Sea, mean of annual 90th percentile values between 2016 and 2018 - Created using the CMEMS SV03-BS-CMCC-CUR-AN-FC-D product and 2018 EMODnet bathymetry digital elevation model, daily currents postprocessed to evaluate energy values at 1 m from the seabed. 1/36 x 1/27 degree (3 km) horizontal resolution. Created by the EMODnet Seabed Habitats project consortium.
A composite Habitats Directive Annex I feature extent map of Submarine structures made by leaking gases for the Scanner Pockmarks SAC was created by British Geological Survey for JNCC to provide the most up-to-date knowledge of Methane-Derived Authigenic Carbonate (MDAC) coverage within the site. Existing polygon data from the 2012 JNCC/CEFAS survey (CEND19x/12 ) was combined with information extracted from previous surveys. Backscatter data and side scan sonar data was used to characterise the nature of the seafloor, in particular the presence of methane-derived authigenic carbonate (MDAC), to build a composite understanding of ÔÇ£HighÔÇØ and ÔÇ£PotentialÔÇØ Annex I feature within the site.
A composite Habitats Directive Annex I feature extent map of Submarine structures made by leaking gases for the Braemar Pockmarks SAC was created by British Geological Survey for JNCC to provide the most up-to-date knowledge of Methane-Derived Authigenic Carbonate (MDAC) coverage within the site. Existing polygon data from the 2012 JNCC/CEFAS survey (CEND19x/12 ) was combined groundtruthing information (PB and BGS datasets), to build a composite understanding of ÔÇ£HighÔÇØ and ÔÇ£PotentialÔÇØ Annex I feature within the site.
A broadscale habitat feature class was created to illustrate the predicted extent of broadscale habitats present at Slieve na Griddle rMCZ. These broadscale habitats include 'Subtidal mud' and 'Low energy circalittoral rock' as determined from particle size analysis of sedimen grab samples and descriptive analysis of still images from underwater camera data. The assigned classes of each ground-truth station were used to inform the semi-automated process of map production using object-based image analysis (OBIA).
A broadscale habitat map was produced by analysising and interpreting the acoustic and ground truth data collected at South Rigg rMCZ. Acoustic data was used to identify areas of Rock and sediment and groundtruthing data was used to divide the sediment areas into one of the four sediment classes, namely coarse sediment, sand, mud and mixed sediment. These areas were then divided into littoral and subtidal zones and different energy areas (Low, Moderate or High). These classes could then be classified using EUNIS.
Updated habitat map resulting from an intergrated analysis of the acoustic and groundtruthsurvey data in 2014 (onboard the RV Cefas Endeavour). Sediment types at each groundtruthing station were used to inform a semi-automated process of map production using object-based image analysis (OBIA). The majority of the seabed was classified as 'A5.2 Subtidal sand', with patches of 'A5.1 Subtidal coarse sediment' and 'A5.4 Subtidal mixed sediments'.
A geostatistical analysis of the data is reported leading to the selection of a linear model of corregionalization for the composition of the sediment, based on the additive log-ratio transformation of data on mud, sand and gravel content. This model is then used for spatial prediction on a 250-m grid. At each grid node a prediction distribution is obtained, conditional on neighbouring data and the selected model. By sampling from this distribution, and backtransforming onto the original compositional simplex of the data, we obtain a conditional expectation for the proportions of sand, gravel and mud at each location, a 95% confidence interval for the value at each node, and the probability that each of the four sediment texture classes that underlie the EUNIS habitat classification is found at the node.
Broadscale habitat (EUNIS level 3) for the Cromer Shoals Chalk Beds recommended Marine Conservation Zone (rMCZ).Seabed texture polygons mapped using semi automated ISO cluster unsupervised classification and expert interpretation of acoustic data (MBES bathymetry and backscatter) and groundtruthing data from PSA analysis and image (stills and video) classification.