Samba contains information on drilling and geophysical surveys on Danish territory, carried out according to license under the Danish underground law. That is: seismic surveys as well as boreholes for exploration, delimitation and production wells concerning oil/gas, geothermal energy, gas storage and salt as well as scientific drilling. The data sets contain technical, administrative and geological information from drillings and geophysical measurements undertaken in boreholes (boreholelogs and reports) as well as metadata (location, recording and processing parameters, etc.) for seismic studies. Data are reported by the companies who carries out the drillings and surveys. The database is updated on an ongoing basis.

Soil-type map of Denmark 1:200.000 version 2. An interpreted overview map of surface geology in Denmark. The map shows a countrywide classification and distribution of soil types (mostly glacial and postglacial sediments) at the surface of Denmark. The soil types are divided into 12 different legend items. The map has a scale of 1:200.000, and is suited for educational use and as a background layer for other mapped themes. The map is published in GEUS report 2011/19.

Jupiter is GEUS ' nationwide database for groundwater, drinking water, raw materials, environmental and geotechnical data. The database is the single public data base in the field and is included in the National Environmental Portal. The database is publicly available.

Long term average (LTA) Potential Groundwater Recharge (GWRpot) for the European domain at 1 km spatial resolution for the period 1981-2010. The LTA GWRpot data set i part of a series of gridded datasets established in the TACTIC project for estimating Potential Groundwater Recharge (GWRpot). The data available are AET, Effective precipitation (Peff=Precipitation-AET), Groundwater Recharge coefficient (Rcoef defined as the ratio: Peff / GWRpot ) The Potential Groundwater Recharge GWRpot = (Precipitation-AET)*Rcoef. The TACTIC series of gridded datasets for estimation of GWRpot included two versions of GWRpot. The current dataset is the GWRpot =Peff*Rcoef. The other is GWRpot_biacorr= Peff_biascorr*Rcoef, adjusted to other Peff estimates from seven national pilots in Europe. Urban areas are masked out and not represented in the gridded dataset. All units are mm/year for the period 1981-2010.

Long term average (LTA) Effective Precipitation (Peff) for the European domain at 1 km spatial resolution for the period 1981-2010. The Peff estimate is based on E-Obs precipitation records and a merged AET estimate based on the Budyko method and satellite estimates. The LTA Peff data set i part of a series of gridded datasets established in the TACTIC project for estimating Potential Groundwater Recharge (GWRpot). The data available are AET, Effective precipitation (Peff=Precipitation-AET), Groundwater Recharge coefficient (Rcoef defined as the ratio: Peff / GWRpot ) The Potential Groundwater Recharge GWRpot = (Precipitation-AET)*Rcoef. The TACTIC series of gridded datasets for estimation of GWRpot included two versions of Peff. The current dataset is the Peff_biacorr= (Precipitation-AET)*1.26, adjusted to other Peff estimates from seven national pilots in Europe. The other is Peff = Precipitation-AET. Urban areas are masked out and not represented in the gridded dataset. All units are mm/year for the period 1981-2010.

Long term average (LTA) Potential Groundwater Recharge (GWRpot) for the European domain at 1 km spatial resolution for the period 1981-2010. The LTA GWRpot data set i part of a series of gridded datasets established in the TACTIC project for estimating Potential Groundwater Recharge (GWRpot). The data available are AET, Effective precipitation (Peff=Precipitation-AET), Groundwater Recharge coefficient (Rcoef defined as the ratio: Peff / GWRpot ) The Potential Groundwater Recharge GWRpot = (Precipitation-AET)*Rcoef. The TACTIC series of gridded datasets for estimation of GWRpot included two versions of GWRpot. The current dataset is the GWRpot_biacorr= Peff_biascorr*Rcoef, adjusted to other Peff estimates from seven national pilots in Europe. The other is GWRpot =Peff*Rcoef. Urban areas are masked out and not represented in the gridded dataset. All units are mm/year for the period 1981-2010.

Groundwater Recharge Coefficient (Rcoef) for the European domain at 1 km spatial resolution for the period 1981-2010. The Rcoef estimate is based on a machine learning approach trained against gridded Rcoef estimates from seven national pilots in Europe. The Rcoef data set i part of a series of gridded datasets established in the TACTIC project for estimating Potential Groundwater Recharge (GWRpot). The data available are AET, Effective precipitation (Peff=Precipitation-AET), Groundwater Recharge coefficient (Rcoef defined as the ratio: Peff / GWRpot ) The Potential Groundwater Recharge GWRpot = (Precipitation-AET)*Rcoef. . Urban areas are masked out and not represented in the gridded dataset. Rcoef is a unitless ratio representing the period 1981-2010.

This is the fourth parameter for the DRASTIC groundwater vulnerability assessment (Aller et al. 1987) applied at the HOVER WP7 pilot area Tønder (Denmark).

MIN4EU DB consists of two parts: Minerals Inventory data and Minerals Yearbook data. Minerals Inventory covers mineral occurrences and mines in Europe (onshore). The European Union has identified security of supply, improving environmental management and resource efficiency as key challenges for the raw materials sector. Data on the location and spatial distribution of primary and secondary raw materials in relation to exploration, exploitation, production and trading activities form the basis for decision-making in government and industry. Given the dynamic nature of such data, regular updates of comprehensive, reliable and harmonized information across borders are required, as there are several sources of non-harmonized data with different coverages developed over the last decades by national and international projects for different purposes. Data have been prepared and collected in the projects Minerals4EU, EURare, ProSUM, ORAMA, RESEERVE and MINTELL4EU, and others and are shared in the European Geological Data Infrastructure (EGDI).

Hydrocarbon fields in the North Sea. This dataset contains information about the types of hydrocarbon, status, start year and operator.