Geological/geochemical evidences and indicators for gas hydrate acquired from samples and cores. Data are represented as points. Data are collected by PrIchornomorSRGE

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.

Overall evaluation of possible limitations and restrictions to the installation of open loop systems based on a 4 colour schemes (grey: no data available, red: no installation allowed, yellow: installation based on case to case decision, green: no restrictions known)

Inventory of faults and tectonic boundaries in Brandenburg at regional scale (approx. 1:200.000 - 1:1.000.000)

The data comprise unprocessed raw data (level 0 data) containing image and spectral data acquired by scanning of drillcores at SGU. Level 0 is typically the level at which raw hyperspectral data is captured during the scanning campaign and the data has not been processed i.e. no data correction, normalization or band subsetting has been performed on this data. The cameras in the scanner cover the visible-near infrared and short-wave infrared (VNIR-SWIR) and the long-wave infrared (LWIR). The combination of different infrared wavelength ranges increases the mineral detection capability. Objective information about the mineralogical composition of the drillcores is fundamental basics for interpretation and modeling of the rock and the geological evolution.

The data comprise image and spectral data acquired by scanning of drillcores at SGU. The cameras in the scanner cover the visible, short wavelength and long wavelength parts of the infrared spectrum. The combination of different infrared wavelength ranges increases the mineral detection capability. Objective information about the mineralogical composition of the drillcores is fundamental basics for interpretation and modeling of the rock and the geological evolution. Level 2 is a processing level where data has been prepared for further spectral processing and product generation. Note that mineral identification is not included in level 2. This requires further processing and interpretation of the data.

Experimental service to access temperature, groundwater age and total dissolved solid content observed in geothermal wells. Data was collected in the GeoERA HOVER Project. The main goal of setting up the service was to test feasibility and the concept of improving FAIRness by using the OGC SensorThings API standard for publishing interpreted results as Observation data. Scope is limited to geothermal wells located in Hungary and Slovenia. The work was completed in the GeoERA GIP-P project.

Geological cross-sections referring to stratigraphic or lithological units.

Temperature of the land surface on the top canopy layer