This dataset represents a nationwide digital geological map of superficial deposits in Denmark at a scale of 1:200.000. The map shows the classification and distribution of near-surface deposits, primarily glacial and post-glacial sediments. The dataset is based on the Digital Soil and Sediment Map of Denmark at 1:25.000 in areas where detailed mapping is available. In other areas, the distribution of deposits has been interpreted based on borehole data, landscape analysis and other available geological information. The deposits are classified into 12 generalised types, making the dataset a simplified and generalised version of the detailed 1:25.000 map. The dataset provides a national overview of superficial deposits and serves as a reference for regional and national applications.

DK model 2019 – Water resources assessment comprises derived results from GEUS’ national hydrological model for Denmark for assessing the use and quantitative status of groundwater resources. The dataset contains model-based assessments of groundwater recharge, water abstraction, exploitation rates, water balance, groundwater drawdown and related assessments at groundwater body level. Exploitation rates are calculated as the ratio between abstraction and groundwater recharge and are used together with information on drawdown and streamflow impacts to assess whether groundwater bodies may be at risk with respect to water balance and quantitative status. The dataset is suitable for regional screening, documentation and overall assessment of groundwater resources, but should not be used as the sole basis for local-scale decisions without additional expert evaluation.

DK model 2019 – Model data comprises core model data from GEUS’ national hydrological model for Denmark. The dataset describes the model basis used in DK model 2019, including the hydrogeological model structure, computational grid, groundwater bodies, climate input, water abstraction data, stream network and other thematic input data included in the model setup. DK model 2019 was updated with new groundwater bodies, new hydrogeological mapping information and a new calibration against observed groundwater heads and stream discharge. The model data form the basis for calculations of groundwater recharge, water balance, water abstraction, drawdown, exploitation rates and impacts on streams. The dataset is suitable as documentation of the model basis and as input to regional analyses, screening and further modelling studies, but should not be used directly for local-scale issues without a separate assessment.

DK model 2019 – Calibration statistics comprises spatial and statistical results from the calibration and evaluation of GEUS’ national hydrological model for Denmark. The dataset documents model performance for groundwater heads and stream discharge, including statistical measures such as RMSE and mean error for groundwater heads as well as WBE, summer WBE and KGE for streamflow simulations. The calibration was carried out using dynamic model runs and inverse parameter estimation with PEST based on observed groundwater heads and daily discharge data for the period 2000–2010. The dataset is intended for assessing the suitability of DK model 2019 for regional analyses, screening and further use. The calibration statistics describe model performance at national and regional scales and should not by themselves be used as documentation of local-scale model accuracy.

The dataset represents a hillshade derived from the Danish Digital Terrain Model 2007 (DHM/Terrain 2007). The hillshade is produced as a cartographic overlay layer designed to enhance terrain forms and topographic structures in the Danish landscape. The dataset is suitable for visual analysis and map presentation and can be used as a background layer together with other thematic datasets. The hillshade is based on the DHM/Terrain model, which represents terrain elevation relative to mean sea level (DVR90), with buildings, vegetation and other surface objects removed. The original terrain model is based on nationwide airborne LiDAR surveys collected during 2005–2007 and subsequently processed and quality assured.

The dataset consists of a series of ASTER band ratios combined into colour composite images designed to highlight mineralogical distributions and lithological variability in Northeast Greenland. The ASTER scenes were preprocessed with atmospheric, radiometric and topographic corrections, including radiative transfer modelling using ATCOR-3 in rugged terrain mode. A surface elevation model was applied to adjust illumination effects. Non-outcrop pixels were masked prior to generating the final mosaic. Calibrated radiance data were converted to apparent surface reflectance; however, further calibration against ground-based reflectance measurements was not feasible. The dataset represents a derived remote sensing product and not primary satellite data.

The dataset comprises geochemical analyses of 1,269 soil samples collected in Greenland from 1974 onwards as part of systematic geochemical mapping and mineral exploration programmes. Soil samples were primarily collected in areas lacking developed stream channels where stream sediment sampling was not feasible. The samples represent surface material and have been analysed for major and trace elements using various laboratory methods including X-ray Fluorescence Spectrometry (XRF), Instrumental Neutron Activation Analysis (INA), Inductively Coupled Plasma Emission Spectrometry (ICP), and Atomic Absorption Spectrometry (AAS). The dataset contains the original analytical results as received from the laboratories together with administrative information on sample location and analysed grain-size fraction. The data form part of the analytical basis for the Geochemical Atlas of West and South Greenland.

This dataset comprises calibrated geochemical data from stream sediment and soil samples collected in North Greenland between 1978 and 1999, supplemented by extensive reanalyses in 2011. The dataset includes selected elements relevant for the evaluation of zinc mineralisation: CaO, K₂O, Ba, Cu, Sr and Zn. A total of 2,469 stream sediment samples and 204 soil samples were included. The analytical values represent the most reliable results following systematic quality control and calibration procedures designed to eliminate bias between analytical methods and analytical periods, as described in Thrane et al. (2011). All values below detection limit are coded as 0 in the dataset. The dataset supports regional assessment of geochemical patterns and mineral potential in North Greenland.