Noise emissions during pile driving.

Noise emissions during pile driving.

Spatial and temporal distribution of noise emissions due to pile driving during the foundation of wind turbines in offshore projects in the German Exclusive Economic Zone EEZ. Source of data: MarinEARS Noise Registry (Marine Explorer and Registry of Sound); visit https://marinears.bsh.de Description of data: Start and end date of the construction phase with noise emissions due to pile driving during the foundation of wind turbines, per area of offshore wind farm visualized by coloration.

Spatial and temporal distribution of noise emissions due to pile driving during the foundation of wind turbines in offshore projects in the German Exclusive Economic Zone EEZ. Source of data: MarinEARS Noise Registry (Marine Explorer and Registry of Sound); visit https://marinears.bsh.de Description of data: Start and end date of the construction phase with noise emissions due to pile driving during the foundation of wind turbines, per area of offshore wind farm visualized by coloration.

Description: Spatial distribution of selected demersal fish species in the German Bight. Data source: Data from environmental impact assessments (EIA) under the permit procedures of the Federal Maritime and Hydrographic Agency (BSH) in the North Sea EEZ and research data of the Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research; time period: 2000 to 2014, mainly spring and autumn data (EIA data), but also summer and winder data (AWI data) Sampling standards: Data of EIAs follow the standard investigation concept StUK 1-3 (BSH 2007), AWI data mainly collected in accordance with the ICES sampling standard (Rumohr 1999). Sampling gears: EIA-data with 7-8 m (partly 6 m) beam trawl (haul: 15 min), AWI-data with a 2-3 m beam trawl (haul: 5-15 min); trawling speed 3-4 kn, codend mesh size 10 mm Sampling: 1 haul per station and sampling date, data were recorded on board or subsamples were stored frozen for further analysis, analysis of abundance and biomass (kg wet weight) per species Data analysis: science information system of demersal fish data, examination of quality and plausibility, data harmonisation, product computation by AWI Product description: Grid: 10x10 km²; available selectable parameter: number of stations, minimum, maximum, mean, median and standard deviation of density (km-²) per species; classification method: natural jenks (Jenks Caspall algorithm); Note: The products contain a different classification of species density! Note: Please regard different value ranges! Note: Data refer exclusively to demersal fish species spectrum! Cited literature Rumohr, H. (1999). "Soft bottom macrofauna: Collection, treatment, and quality assurance of samples." ICES Techniques in Environmental Sciences, No. 27: 1-19. BSH (2007): Standard Investigation of the Impacts of Offshore Wind Turbines on the Marine Environment (StUK 3), Hamburg.

Data maritime boundaries of the Nautical Hydrographic Information System (NAUTHIS).

This metadata set describes the CSW interface of the metadata catalogue of the spatial data infrastructure of the Federal Maritime and Hydrographic Agency (GDI-BSH) for Open Data.

The data cover the water pollution detected on German territory and in the exclusive economic zone (EEZ). The data include the position, type and sources of water pollution. The data are held for the legal prosecution and punishment of violations of the provisions of the MARPOL Convention 1973/78 in connection with the MARPOL-Owi-Vo, the Helsinki Convention in connection with the 1st and 2nd Baltic Sea Protection Amendment Ordinance and for the processing of individual technical and legal questions of principle regarding the above-mentioned legal provisions and administrative offence law (OWIG i. V. m. StPO and StGB), European law and international law.

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. Further information is available at: https://gdiwiki.bsh.de/wiki/index.php/AIS_Schiffsdichte

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. Further information is available at: https://gdiwiki.bsh.de/wiki/index.php/AIS_Schiffsdichte