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.

DK model 2019 – Simulation results comprises calculated hydrological results from GEUS’ national hydrological model for Denmark. The dataset contains derived results from model runs with DK model 2019, including calculations of water balance, groundwater recharge, impacts of water abstraction, groundwater drawdown, streamflow impacts and changes in flow-related indicators. The results include, among other outputs, comparisons between scenarios with current abstraction and reference scenarios without abstraction. The dataset is used for regional assessment of hydrological conditions, screening of water resource and impact conditions, and documentation of model-calculated results. The results are model-based and should be used with due consideration of the regional purpose, model uncertainties and limitations of DK model in relation to local-scale applications.

The service contains GEBCO, VMAP0 data at higher zoom levels, and data from the national mapping authorities of Canada, Denmark, Finland, Iceland, Norway, Russia, Sweden and USA. The service has been designed for use within the ArcticSDI Geoportal.

This dataset represents the structure and topography of the Top Chalk surface, i.e. the top of the Chalk Group (including Upper Cretaceous to Danian), in the Danish subsurface. The map illustrates regional variations in the depth and structural configuration of the chalk surface from the central North Sea to the eastern Danish areas. It is based on an integrated geological and geophysical interpretation of seismic profiles, well data and earlier mapping. The map provides an essential basis for geological, geophysical and subsurface reservoir analyses.

This dataset depicts the depth to the top of the pre-Zechstein succession in the Danish subsurface. The map represents the structural surface beneath the Zechstein evaporites and provides a regional overview of the geological framework of the subsurface. The dataset is based on interpretation of seismic data, deep boreholes and previous geological mapping and was produced as part of the Geological Survey of Denmark map series no. 45. The map is used as a reference for regional structural geology and subsurface modelling.

The dataset comprises more than 6,400 oblique aerial photographs acquired during the systematic 1:500,000 geological mapping programme in North Greenland carried out by the Geological Survey of Greenland (now GEUS) between 1978 and 1985. The photographs document steep fjord and valley walls and were collected as part of geological field investigations. The images have been digitised and made available through a web-based interface, allowing users to access individual photographs, their geographic locations and associated geological coding linked to the regional geological map. The dataset represents a systematic visual documentation of geological features in North and Northeast Greenland.

The dataset is an Imhof-inspired cartographic base map combining topography and bathymetry, covering European countries and adjacent marine areas. The map has been constructed by merging several existing digital elevation models, with topography primarily based on EU-DEM v1.1 and the Shuttle Radar Topography Mission (SRTM), and bathymetry derived from the General Bathymetric Chart of the Oceans (GEBCO). The dataset provides a continuous surface integrating land and marine areas and has been developed with a focus on visual quality and regional applications.

The dataset contains polygons representing historical exploration and exploitation licences for mineral resources in Greenland. The data are based on geographic information provided via WFS by the Ministry of Mineral Resources in Greenland and are redistributed without modification of the original boundaries. The dataset provides an overview of former licence areas and their spatial extent.

The dataset comprises a systematic inventory of onshore petroleum seeps and stains in Greenland. The inventory includes information on approximately 130 localities distributed across Palaeozoic, Mesozoic and Cenozoic sedimentary basins in Greenland. For each locality, coordinates, site descriptions, classification of seep type, geological context, sample numbers and references to reports and publications are recorded. The classification includes oil seeps, gas seeps, mud diapirs and gas-rich springs, oil stains in volcanics, carbonates and sandstones, solid macroscopic bitumen, and fluid inclusions and other evidence of micro-seepage. The dataset synthesises existing knowledge of petroleum systems in Greenland and provides a comprehensive overview of documented natural hydrocarbon occurrences onshore.

The dataset contains polygons representing selected protected and regulated areas in Greenland relevant to mineral activities. The areas include UNESCO World Heritage Sites, nature protection areas, and zones with specific restrictions or prohibitions on mineral activities. The dataset is converted from a WFS service provided by the Ministry of Mineral Resources in Greenland and is used as a geographic reference in the assessment of exploration and exploitation licences. The polygons represent administrative boundaries and do not constitute a legally binding representation of current legislation.