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For the calculation of the data "AIS Vessel Density", the data of the Universal Shipborne Automatic Identification System (AIS) were evaluated with regard to various parameters and ship types under stochastic aspects. The data are requested once a year for the past year from the European Maritime Safety Agency (EMSA). Among others, the information is collected and stored for the purpose of securing maritime traffic and is used for the manufacture of products produced for navigation by the Federal Maritime and Hydrographic Agency (BSH). The data "AIS Vessel Density" represent the mean spatial density distribution of the ships. The mean spatial ship density is the current number of ships that could be expected in a defined area (grid cell) at any time during a reference period under consideration. The counting distinguishes between five types of vessels: fishing vessels, cargo vessels, tankers, passenger vessels and all vessels. For more information, please visit: https://gdi.bsh.de/en/data/Vessel-Density-Annual-Values-timeslider_Dokumentation_Schiffsdichte_DE.pdf
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For the calculation of the data "AIS Vessel Traffic Density", the data of the Universal Shipborne Automatic Identification System (AIS) were evaluated with regard to various parameters and ship types under stochastic aspects. The data are requested once a year for the past year from the European Maritime Safety Agency (EMSA). Among others, the information is collected and stored for the purpose of securing maritime traffic and is used for the manufacture of products produced for navigation by the Federal Maritime and Hydrographic Agency (BSH). The data "AIS Vessel Traffic Density" represent the mean spatio-temporal density distribution of the ships. This is the average number of ships that have passed through a defined area (grid cell) in a certain period of time. The counting distinguishes between five types of vessels: fishing vessels, cargo vessels, tankers, passenger vessels and all vessels. For more information, please visit: https://gdi.bsh.de/en/data/Vessel-Traffic-Density-Annual-Values-timeslider_Dokumentation_Schiffsverkehrsdichte_DE.pdf
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Protected Sites of Germany, derived from the german digital landscape model at scale 1:250000. Mapped via EuroRegionalMap to satisfy INSPIRE and European Location Framework conformance. The dataset is available as Open Data.
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INSPIRE View Service for Digital Terrain Model Grid Width 200 m (DGM200). The Digital Terrain Model DGM200 describes the terrain forms of the earth’s surface by means of a point quantity arranged in a regular grid, which is georeferenced to planimetry and altimetry. The grid width is 200 m. The data provided through this service covers the area of Germany. Ground resolution: 200m
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For the calculation of the data "AIS Vessel Density", the data of the Universal Shipborne Automatic Identification System (AIS) were evaluated with regard to various parameters and ship types under stochastic aspects. The data are requested once a year for the past year from the European Maritime Safety Agency (EMSA). Among others, the information is collected and stored for the purpose of securing maritime traffic and is used for the manufacture of products produced for navigation by the Federal Maritime and Hydrographic Agency (BSH). The data "AIS Vessel Density" represent the mean spatial density distribution of the ships. The mean spatial ship density is the current number of ships that could be expected in a defined area (grid cell) at any time during a reference period under consideration. The counting distinguishes between five types of vessels: fishing vessels, cargo vessels, tankers, passenger vessels and all vessels. For more information, please visit: https://gdi.bsh.de/en/data/Vessel-Density-Monthly-Values-timeslider_Dokumentation_Schiffsdichte_DE.pdf
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Die SedDB verbindet die für die Binnenwasserstraßen vorliegenden Feststofftransportdaten (Geschiebe und Schwebstoff aus Vollprofilmessungen) mit den sedimentologischen Daten der Gewässersohle (Kornverteilung, Schichtaufbau, Sohlbeschreibung etc.) in einer Datenhaltung und macht sie für morphologische Anwendungen (quantitative Fragestellungen), für ökologische und qualitativ-gewässerkundliche Fragestellungen verfügbar.
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