The global climate model system MPI-ESM-LR was applied to create an ensemble of 30 members for the historical period 1950-2005 and a continuation of the simulations for the RCP8.5 period 2006-2099. Additionally, a pre-industrial control run was performed for 1950-2099 with atmospheric pCO2 of 1850. All members were subsequently directly regionalized using the regionally coupled MPIOM-REMO climate model system consisting of the global ocean model MPIOM focused with its horizontal resolution on the North Sea and the regional atmospheric model REMO over the EURO CORDEX22 region (euro-cordex.net), which was fully coupled with MPIOM in this region. For extreme value analyses, certain variables were stored with hourly time step. Here, global sea surface height and regional (EURO CORDEX22) u and v wind components at 10 m above ground are available. Further data can be requested from the authors.

The global climate model system MPI-ESM-LR was applied to create an ensemble of 30 members for the historical period 1950-2005 and a continuation of the simulations for the RCP8.5 period 2006-2099. Additionally, a pre-industrial control run was performed for 1950-2099 with atmospheric pCO2 of 1850. All members were subsequently directly regionalized using the regionally coupled MPIOM-REMO climate model system consisting of the global ocean model MPIOM focused with its horizontal resolution on the North Sea and the regional atmospheric model REMO over the EURO CORDEX22 region (euro-cordex.net), which was fully coupled with MPIOM in this region. For extreme value analyses, certain variables were stored with hourly time step. Here, global sea surface height and regional (EURO CORDEX22) u and v wind components at 10 m above ground are available. Further data can be requested from the authors.

Data on the composition of subsurface sediments in the North Sea. For more information, please visit: https://gdi.bsh.de/en/data/Holocene-marine-sand-deposits-in-the-German-North-Sea_Information_Maechtigkeit_nordseezeitlicher_Sande_DE.pdf

Standardized boreholes according to DIN 18196. For more information, please visit: https://gdi.bsh.de/en/data/Geotechnical-Soils-German-North-Sea_Information_Geotechnische_Boeden_in_der_deutschen_Nordsee_DE.pdf

This is a wave hindcast for the period 1995 - 2018 covering the North and Baltic Sea. The simulation has been performed with the spectral wave model WAM Version 4.6.2. The model domain covers the area from approx 49.2° N to 66.6° N and 9.8° W to 31.6° E, with a spatial resolution of 0.044 degree latitude x 0.044 degree longitude (approx. 5 by 5 km) on a rotated grid with the coordinates of the rotated north pole 140°W E and 32° N. Integrated parameter derived from 2D spectra are available every hour. Atmospheric forcing was obtained from the COSMO-REA6 regional atmospheric reanalysis (https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.2486) provided by the German Weather Service (DWD) . Lateral boundary conditions were obtained from corresponding coarse grid hindcast covering most of the Northeast Atlantic driven by the same atmospheric forcing.

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

Data for the representation of the skin of the earth. For more information, please visit: https://gdi.bsh.de/en/data/Land-and-Marine-Areas-for-Nautical-Products_Information_Land-_und_Wasserflaechen_fuer_nautische_Produkte_DE.pdf

The data set contains the published status of the spatial designations of the infrastructure area plan as an additional source of information. The planning scale of the plan is 1:400,000. The announced documents are authoritative.

This is a hydrodynamic hindcast for the North Sea and the Northeast Atlantic over the period 1995-2019. Atmospheric forcing is COSMO-REA6 high-resolution reconstruction (https://reanalysis.meteo.uni-bonn.de/?COSMO-REA6). The simulation has been performed with the hydrodynamic model TRIM-NP V2.5 in barotropic 2D mode. FES tides are included. Water level and current component fields are stored hourly/20min. The model is set up on an equidistant Cartesian grid cascade with the center near Helgoland (7.88 E, 54.18 N). The coarsest grid with 12.8 km resolution covers the area from 20 W to 30 E and from 42 N to 65 N. Further nested grids better resolve the North Sea (with 6.4km), southern North Sea (with 3.2km) and the German Bight (with 1.6km and 0.4km). Model data from grid 1 (ssh) and grid 4 (ssh, u-current, v-current) are available in this data bank. Please contact the authors for data from other grids or finer temporal resolution.

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