The dataset shows the percentage of cities' administrative area (core city based on the Urban Morphological Zones dataset) inundated by the sea level rise of 1 metre, without any coastal flooding defences present for a series of individual coastal European cities (included in Urban Audit). The dataset has been computed using the CReSIS (Centre for Remote Sensing of Ice Sheets) dataset for 2018.

This metadata refers to the EEA marine assessment grid, to which all data and assessment results have been spatially mapped in order to ensure that data can be compared in a uniform way across the European regional seas. The marine assessment grid is based on the EEA reference grid system. The EEA reference grid is based on ERTS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52° N, longitude of origin 10° E, false northing 3 210 000.0 m, false easting 4 321 000.0 m. All grid cells are named with a unique identifier containing information on grid cell size and the distance from origin in meters (easting and northing). An important attribute of the EEA reference grid system is that by using an equal area projection all grid cells are having the same area for the same grid size. In this marine assessment grid, two grid sizes are used: * 100 x 100 km in offshore areas (> 20 km from the coastline) * 20 x 20 km in coastal areas (<= 20 km from the coastline) The grid sizes were choosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. The resulting assessment grid is a combination of two grid sizes using the EEA reference grid system. The overall area of interest used in the grid is based on the marine regions and subregions under the Marine Strategy Framework Directive (MSFD). Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (’Iceland Sea’) have been added (see Surrounding seas of Europe). Note that, within the North East Atlantic region, only the subregions within EEZ boundaries (~200 nm) have been included.

The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO (https://land.copernicus.eu/imagery-in-situ/eu-hydro) and GSHHG (http://www.soest.hawaii.edu/pwessel/gshhg/). The defining criteria was altitude level = 0 from EUDEM (https://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view). Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). In this revision (v3, 2017), 2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons.

This vector dataset represents the benthic broad habitat types in Europe Seas potentially affected by the ship wakes. When navigating, the propellers of ships generate a turbulent mixing of the water that can produce sediment re-suspension in soft bottoms of shallow areas. This can increase the turbidity in those areas, affecting the seafloor organisms (especially those that are directly dependent on light, such as aquatic plants). It may also contribute to an increase of the the eutrophication level of the ecosystem (since the turbid waters may become warmer, which may turn into a reduction of dissolved oxygen in water). Finally, turbidity can produce an increase in the inputs of contaminants and microbial pathogens, since those can become attached to the suspended solids. The dataset has been prepared in the context of the development of the first European Maritime Transport Environmental Report (https://www.eea.europa.eu/publications/maritime-transport).

The BEAT+ tool builds on the EEA assessment tools developed and applied in the context of assessing the degree of contamination (CHASE+), eutrophication (HEAT+) and biodiversity (BEAT+) in Europe's seas. BEAT+ makes use of the same data sets and threshold values used in these assessments but recombines these in a new framework that addresses 'biodiversity condition'. BEAT+ has been designed to provide an assessment of the spatial variability of a range of biodiversity components by combining existing biodiversity indicators. The tool integrates data from normalised indicators to identify worst case status measures for different biodiversity components. The results are then linked to a standard gridE based Spatial Assessment Unit (SAU) which is used both for biodiversity and for pressures assessments (Andersen et al., 2014). These grid-based SAUs not only allow alignment of indicators for biodiversity and for pressures but provide a means for combining large assessment areas (e.g. for wide‐ranging species) with point data collected from biological surveys e.g. WFD monitoring. BEAT+ tool works by calculating a Biological Quality Ratio (BQR) which is an aggregated score of indicator outcomes within a grid square. To allow objective comparison, the indicator outcomes are normalised to a scale of 0 to 1, with five status classes at equal intervals on that scale (from Bad starting at 0, Poor at 0.2, Medium at 0.4, Good at 0.6 and High at 0.8). By this means, indicators based on different biological criteria can be aggregated in a consistent way. This metadata refers to dataset providing the results of classification of biodiversity status using the BEAT+ tool. The status is evaluated in five classes, where High and Good are recognised as ‘non-problem areas’ and Moderate, Poor and Bad are recognised as ‘problem areas’. The dataset covers: - BQR Assessment of all marine mammals combined (mainly focused on coastal and relatively stable inshore populations of seals, dolphins and porpoises) - BQR Assessment of seabirds and wading birds - BQR Assessment of commercial fish (as these have agreed targets defined on biomass and fishing mortality) - BQR Assessment of pelagic habitats - BQR Assessment of benthic habitats - BQR Assessment of worst-performing biodiversity groups - An overall synthesis of the Biological Quality Ratios (BQR) values (showing which are the worst -lowest- BQR values in each assessment grid cell. The ‘worst’ value is used here to identify the biological group most at risk, rather than averaging over all groups to avoid over-­emphasis on groups with more intensive monitoring). As reference, please consult the ETC/ICM Report 3/2019: Biodiversity in Europe's seas: https://www.eionet.europa.eu/etcs/etc-icm/products/biodiversity-in-europes-seas. The indicator BEAT+ Integrated Assessment Worst Case BQR has been used in the EEA report 17/2019 "Marine Messages II": https://www.eea.europa.eu/publications/marine-messages-2.

This data set presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD), providing a mapping of contamination 'problem areas' and ‘non-problem areas’ based on measurements in the matrix "sediments". This classification has been performed using the CHASE+ tool, with classifications of the sediments matrix. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as ‘non-problem areas’ and PAmoderate, PApoor and PAbad are recognised as ‘problem areas’. Most countries in Europe include marine sediments in long-term monitoring activities. Consequently, the data coverage is good, especially in southern parts of the Baltic Sea, the North Sea, the Celtic Sea, the Bay of Biscay, western parts of the Black Sea and the coastal waters of France, Italy and Portugal.The number of assessment units monitored and classified in the North-East Atlantic Ocean is 511. In the Mediterranean Sea, the number of assessment units is 153. Baltic Sea sediments are monitored on 97 assessment units while only 19 areas are assessed in the Black Sea. This data set underpins the findings and cartographic representations published in the EEA report “Contaminants in Europe’s seas” (No 25/2018). See the mentioned report for further information as well as examples of classification excluding specific groups of substances(e.g. metals, PBDEs).

This metadata refers to a dataset that shows the percentage of cities' administrative area (core city based on the Urban Morphological Zones dataset) inundated by the sea level rise of 2 metres, without any coastal flooding defences present for a series of individual coastal European cities (included in Urban Audit). The dataset has been computed using the CReSIS (Centre for Remote Sensing of Ice Sheets) dataset for 2018.

This data set presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD), with a mapping of contamination 'problem areas' and ‘non-problem areas’ based on measurements in the matrix 'biota'. This classification has been performed using the CHASE+ tool, with classifications of the biota matrix. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as ‘non-problem areas’ and PAmoderate, PApoor and PAbad are recognised as ‘problem areas’. Monitoring and assessment for the matrix 'biota' has been carried out in the North-East Atlantic Ocean (482 assessment units), Baltic sea (198 assessment units), Mediterranean Sea (161 assessment units) and Black sea (12 assessment units). This data set underpins the findings and cartographic representations published in the EEA report “Contaminants in Europe’s seas” (No 25/2018): https://www.eea.europa.eu/publications/contaminants-in-europes-seas. See the mentioned report for further information as well as examples of classification excluding specific groups of substances (e.g. metals, PBDEs).

Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2001 to 2006. The data covers the EU 25. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2001-2006 for the first time includes assessments on the conservation status of the habitat types and species of Community interest. Information on the data quality of the 2001-2006 reporting round is available at http://bd.eionet.europa.eu/article17.

This dataset presents the estimated multiplication factor by which the frequency of flooding events of a given height in European tide gauges will change between 2010 and 2100, due to projected regional sea relative level rise under the Representative Concentration Pathways (RCP) 4.5 scenario. Values larger than 1 indicate an increase in flooding frequency. This dataset is derived from the Figure 13.25(b) of the Working Group I contribution to the IPCC Fifth Assessment Report (http://www.climatechange2013.org/images/report/WG1AR5_ALL_FINAL.pdf). This dataset also contributes to an earlier version of the EEA Indicator "Global and European sea-level": https://www.eea.europa.eu/data-and-maps/indicators/sea-level-rise-5/assessment.