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GeoTIFF

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  • This product is a map of the uncertainty of available digital bathymetry measurements for the North Atlantic Ocean. This is done for a spatial resolution feasible for this large area (25km x 25km). It is designed to assess the quality of the bathymetry readings with a view to supporting assessments of future need. The product is formulated through a number of characteristics of the data including age of measurement and slope.

  • High resolution composite DTM based on multi beam surveys in German Bodden waters. All data acquired in 2016.

  • This raster dataset represents physical disturbance to the seabed in the European seas. Several human activities disturb the seabed either directly or indirectly. Alteration of benthic living conditions as a result of increased sedimentation or attenuation of light penetration, abrasion of the seabed and exploitation of benthic biota, temporarily disturb the benthic habitat quality. The dataset is an aggregation of several different human activities that cause physical disturbance to the seabed: aquaculture, demersal fishing, dredging and dumping of dredged material, oil and gas rigs, offshore installations, ports, sand and gravel extraction, shellfish mariculture, shipping in shallow waters and windfarms. The resulting dataset is a raster (10km grid cell) derived from EMODnet, MED-IAMER, JRC-STECF, OSPAR, HELCOM and 4C Offshore datasets, and with reference temporal coverage from 2012 to 2017. 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.

  • High resolution composite DTM based on multi beam surveys. All data acquired in the years 2017-2018.

  • Composite DTM of “Canal de Menorca” (Menorca channel) at approximately 100 m of resolution.

  • This data was obtained through a partnership with IMF, as part of IMF's World Seaborne Trade Monitoring System (Cerdeiro, Komaromi, Liu and Saeed, 2020). The data analysis was supported by the World Bank’s ESMAP and PROBLUE programs. The dataset contains 6 density layers, with vessel types aggregated to suit the needs of the WBG Offshore Wind Development Program: 1) Commercial ships 2) Fishing ships 3) Oil & Gas [note: this is just platforms, rigs, and FPSOs] 4) Passenger ships 5) Leisure vessels 6) GLOBAL ship density layers of all ship categories combined

  • Composite DTM of Formentera Island at approximately 100 meters of resolution.

  • Composite DTM of La Gomera Island Margin Eco-cartography in Canary Islands, at approximately 100 meters of resolution (1/16 arc-minute).

  • The dataset represents the introduction of non-indigenous species in European seas. Non-indigenous species are species that have been spread as a result of human activities to areas where they do not belong naturally. The main concern are the invasive species, which are defined as causing a significant negative impact on biodiversity as well as serious economic and social consequences. The dataset has been prepared first by individually mapping each aquatic invasive species that had a distinctive distribution area, which had been provided by several non-indigenous species online databases. The distribution of the species were then resampled into the EEA 10 km grid and summed together, showing the number of non-indigenous species per grid cell. The temporal reference of the dataset covers the last 30 years (1989 - 2018). 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.

  • Composite DTM of La Palma Island Margin Eco-cartography in Canary Islands, at approximately 100 meters of resolution (1/16 arc-minute).