snippet:
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This raster dataset represents the input of microbial pathogens along the European coastlines. |
summary:
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This raster dataset represents the input of microbial pathogens along the European coastlines. |
accessInformation:
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EEA, ETC/ICM |
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maxScale:
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5000 |
typeKeywords:
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[] |
description:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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).</SPAN></P><P><SPAN>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.</SPAN></P></DIV></DIV></DIV> |
licenseInfo:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). </SPAN></P></DIV></DIV></DIV> |
catalogPath:
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title:
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Input of microbial pathogens along European coastlines |
type:
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url:
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tags:
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["microbial","waste","coastline","port","bathing sites","urban agglomeration","combined effect index","passenger transport","sea","pressure","pathogen","water quality","coast","urban waste water treatment","uwwtd","bwd","maritime transport"] |
culture:
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en-GB |
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name:
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guid:
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minScale:
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150000000 |
spatialReference:
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