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An open data repository for scientists from the Geological Survey of Denmark and Greenland (GEUS) to share and preserve their data.


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461 to 470 of 33,371 Results
MS Excel Spreadsheet - 497.8 KB - MD5: de51844ae08e5f549ee052071954c45f
Statistics on landuse above delineated aquifers and above groundwater recharge areas to these aquifers
MS Excel Spreadsheet - 934.4 KB - MD5: 97eaba2bd24b8d11b3f93c9ebbbd5681
Statistics on landuse above delineated aquifers and above groundwater recharge areas to these aquifers
MS Excel Spreadsheet - 899.4 KB - MD5: 0f512c58bda15885aa090843f90fe6b4
Summery of groundwater body characteristics, e.g. x,y,z center coordinates, number of aquifers in the groundwater body, thickness, depth etc.
Unknown - 149.0 MB - MD5: 298f0dd18fc369b9be36e2c6a0359724
Geopackage with features of delineated groundwater bodies, rivers, lakes, terrestical groundwater depending ecosystems. All features with supplementary basic data. Surface water body data with delinated areas of contact with groundwater bodies.
ZIP Archive - 9.4 MB - MD5: 73062fb09e35557ed210cfb41a25c6e6
Groundwater recharge areas to groundwater bodies in Denmark. Calculated using the National Hydrological Model (dkm2023)
MS Excel Spreadsheet - 41.3 KB - MD5: f4042b5f6ccc24fb9fa48085ab659c3d
In the excel file “metadata_grunddata_res_gpkg” you find metadata for all the files included in the grunddata_res.gpkg
ZIP Archive - 36.3 MB - MD5: eb81c282a67371edf40a18b1698b9b22
Delineation of top and bottom of first redox interface and redox complexity related to hydrogeology and average flow conditions (1991-2020) from the National Hydrological Model (dkm2023)
May 29, 2026 - Water resources
Koch, Julian, 2026, "Dataframe for 10 m water table depth predictions at DK-scale", https://doi.org/10.22008/FK2/DUU3WM, GEUS Dataverse, V2
The repository contains the dataframe required for generating 10 m water table depth predictions across Denmark. In addition to the covariates used for modelling, the dataframe includes UTMX and UTMY coordinates for each grid cell. A description of all covariates is provided in t...
Shapefile as ZIP Archive - 3.0 MB - MD5: 526227c28355808581a6869d739a4639
point shapefile with training labels
Network Common Data Form - 355.3 MB - MD5: 6c8ca62890619d9060d18ef86d55da38
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