f7fb5360-e8e6-4a98-852c-3f56f96a361c European Environment Agency Kongens Nytorv 6 Copenhagen K 1050 Denmark sdi@eea.europa.eu pointOfContact 2025-10-09T11:23:51.925465Z ISO 19115/19139 1.0 EPSG:3035 Input of microbial pathogens along European coastlines, Jan. 2020 2018-09-01 creation 2020-01-27 publication 01.00 eea_r_3035_10_km_pathogens-coastlines_p_2006-2016_v01_r00 This raster dataset represents the input of microbial pathogens along the European coastlines. The pressure layer was created using three different datasets rasterized using the EEA 10 km grid: urban agglomerations reported under the Urban Waste Water Treatment Directive (2017), EMODnet dataset of ports lying on the sea coast together with passenger information (annual average 2006-2016) and Intestinal enterococci and Escherichia coli data at bathing sites as measured under the Bathing Water Directive reporting obligation (average 2008-2016). All three datasets were then classified into four classes, aggregated and classified again (quantile classes between 0 and 1, with the latter being the highest pathogen pressure). This dataset has been prepared for the calculation of the combined effect index, produced for the ETC/ICM Report 4/2019 "Multiple pressures and their combined effects in Europe's seas" available on: https://www.eionet.europa.eu/etcs/etc-icm/etc-icm-report-4-2019-multiple-pressures-and-their-combined-effects-in-europes-seas-1. European Environment Agency Kongens Nytorv 6 Copenhagen K 1050 Denmark sdi@eea.europa.eu http://www.eea.europa.eu WWW:LINK-1.0-http--link European Environment Agency public website pointOfContact European Environment Agency Kongens Nytorv 6 Copenhagen 1050 Denmark sdi@eea.europa.eu http://www.eea.europa.eu WWW:LINK-1.0-http--link European Environment Agency public website custodian https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f7fb5360-e8e6-4a98-852c-3f56f96a361c.png Oceanographic geographical features GEMET - INSPIRE themes, version 1.0 2008-06-01 publication geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme bathing water passenger transport sea pressure pathogen water quality coast urban waste water treatment Urban Waste Water Treatment Directive harbour bathing water directive maritime transport environmental pressure GEMET 2018-08-16 publication geonetwork.thesaurus.external.theme.gemet English Channel Celtic Sea Ionian Sea North Sea Barents Sea Kattegat Northeast Atlantic Ocean (40W) Baltic Sea Bay of Biscay Black Sea Mediterranean Sea Adriatic Sea Norwegian Sea Iceland Sea Continents, countries, sea regions of the world. 2015-07-17 publication geonetwork.thesaurus.external.place.regions European Spatial scope 2019-05-22 publication geonetwork.thesaurus.external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope Temporal resolution 2020-06-08 publication geonetwork.thesaurus.local.temporal.temporal-update Biodiversity Waste and recycling Human health impacts Seas and coasts Bathing water quality EEA topics 2020-09-24 publication geonetwork.thesaurus.external.theme.eea-topics /Métropole /Métropole/Manche mer du Nord /Métropole/Mers Celtiques /Métropole/Golfe de Gascogne /Métropole/Méditerranée occidentale Sous-regions marines geonetwork.thesaurus.local.place.dcsmm.area /Activités et Usages/Transport maritime et Ports Thématiques - SIMM geonetwork.thesaurus.local.theme.simm.thematiques /Activités et Usages/Urbanisation et Artificialisation Thématiques - SIMM geonetwork.thesaurus.local.theme.simm.thematiques /Etat du Milieu/Pollutions Thématiques - SIMM geonetwork.thesaurus.local.theme.simm.thematiques /Données dérivées/Indicateurs Type de jeux de donnée - ODATIS geonetwork.thesaurus.local.theme.type_jeux_donnee /Données dérivées/Produits composites Type de jeux de donnée - ODATIS geonetwork.thesaurus.local.theme.type_jeux_donnee Directive Eaux de baignade Cadre Réglementaire - SIMM geonetwork.thesaurus.local.theme.simm.reglementaire no limitations to public access License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Copyright holder: European Environment Agency (EEA). grid 10 environment oceans health -45.14 55.44 25.45 65.86 2006-01-01 2016-12-31 GeoTIFF https://sdi.eea.europa.eu/webdav/datastore/public/eea_r_3035_10_km_pathogens-coastlines_p_2006-2016_v01_r00/ EEA:FOLDERPATH https://sdi.eea.europa.eu/data/f7fb5360-e8e6-4a98-852c-3f56f96a361c WWW:URL Direct download https://water.discomap.eea.europa.eu/arcgis/rest/services/Marine/Pressures_Microbial_pathogens/MapServer ESRI:REST https://water.discomap.eea.europa.eu/arcgis/services/Marine/Pressures_Microbial_pathogens/MapServer/WMSServer?request=GetCapabilities&service=WMS OGC:WMS Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 publication See the referenced specification The pressure layer was created using three different datasets converted to the EEA 10 km grid: 1. Urban agglomerations reported under the Urban Waste Water Treatment Directive (UWWTD) 2. EMODnet dataset of ports with passenger information 3. Intestinal enterococci and Escherichia coli at bathing sites as measured under the Bathing Waters Directive reporting obligations. Urban agglomerations (reported under UWWTD) laying no further than 5 km from the coast were identified and compiled in a common layer. Only agglomerations with more than 5% untreated waste were selected. The information of load (PE) generated by specific agglomerations was kept. Pressure data was extrapolated to the neighbouring cells using 2 buffer belts (6 km-30% reduction) and 12 km-60% reduction. All ports (EMODnet) lying on the sea coast were selected. Information on number of passengers (annual average 2006-2016) was also obtained, which can be used as proxy for pressure intensity. Pressure data was extrapolated to the neighbouring cells using buffer belts (6 km-30% reduction) and 12 km-60% reduction. More information on https://www.emodnet.eu/geonetwork/emodnet/spa/catalog.search?node=emodnet#/metadata/c0c12986-4373-4cef-a1a4-75db11a4eafd. Intestinal enterococci and Escherichia coli data at bathing sites (as measured under the Bathing Water Directive reporting obligation, average 2008-2016) was extrapolated to the neighbouring cells using 5 km buffer belt (50% reduction). The three datasets were classified into quantiles (with the values 0.25/0.5/0.75/1.00 representing the quantiles, and 1.00 being the highest pathogen pressure) and then combined into a single pressure layer. Where the datasets overlapped, the cell was assigned the largest (maximum) value.