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-Monthly-Values-timeslider_Dokumentation_Schiffsverkehrsdichte_DE.pdf

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

In this service, information on underwater obstacles is presented, which is available in the "Deutsches Unterwasserhindernisauskunftssystem" (DUWHAS) of the BSH. The data are displayed according to the symbolisation of the international nautical charts (INT 1).

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

Shipping areas and navigational rules applicable for passenger ships

Data of fixed and floating sea marks for nautical products. For more information, please visit: https://gdi.bsh.de/en/data/Aids-to-Navigation-for-Nautical-Products_Information_Navigationshilfen_fuer_nautische_Produkte_DE.pdf

INSPIRE theme Planned Land Use (Marine Spatial Planning). Provision of marine spatial planning exclusive economic zone of Germany.

INSPIRE theme Water Transport Network (shipping routes). The maritime data of the BSH for INSPIRE Transport Networks describe the water transport network for maritime navigation in the area of responsibility of the Federal Maritime and Hydrographic Agency (BSH) as well as its associated infrastructure facilities.

Geographical names of regions and bottom structures in the German coastal waters of the North Sea and Baltic Sea based on nautical charts of the Federal Maritime and Hydrographic Agency and composition by the Permanent Committee on Geographical Names (StAGN)

Description: Spatial and seasonal distributions of selected species of seabirds in the German Bight. Data source: TOPAS-Windobs Datenbank + TOPAS-FTZobs Datenbank. These are data from Environmental Impact Assessments (EIS) and monitoring studies under the permit procedures of BSH in the North Sea EEZ and research data of the FTZ. Data collection: Ship-based and aircraft-based transect counts. The basis of all ship-based seabird counts is the standardized method described by Tasker et al. (1984) and Garthe et al. (2002). Following this method, seabirds within a transect strip of known length and width were recorded. Thus the number of birds per area (density) can be calculated. Seabird counts from aircrafts are described in Diederichs et al. (2002). It is also a transect based method. Time periods: Ship: June 2000 to Aug. 2013, aircraft: March 2002 to June 2013. Data analysis: Based on all survey years; for each species (or species group) and each species-specific season the mean density [individuals/km²] per raster cell is calculated as "the sum of the counted seabirds divided by the sum of the survey effort inside the raster cell". Species specific correction factors were used for the calculation of the density (Garthe et al. 2007, 2009; Markones and Garthe 2012). For divers separate correction factors were calculated for each single data collection team and then combined into a weighted average. Product description: Vector raster with "10 km x 10 km" raster cells (EPSG 3035). WMS: classification by mean density (5 ranges), visualization by graduated symbols. Bibliography see: ftp://ftp.bsh.de/outgoing/gdi-bsh/public/M/M5/docs/Seebirds_density_bibliography.htm