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31 to 40 of 32,206 Results
ZIP Archive - 429.9 MB - MD5: 985406e3525929d8c9c581b8bc0119f7
Top, depth and accumulated clay thickness above aquifer layers in the National Hydrological Model (vp3genbesog)
ZIP Archive - 539.1 MB - MD5: fd4f6ea280bea79d6cd205565bdb7cea
Geological layers used in the National Hydrological Model (dkm2023). Geological layers originates from a simplification of the FOHM representation primo 2019 (same as DK-model2019)
Unknown - 148.6 MB - MD5: 015a999ab249e19b6cef5e8a4c58ddd0
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 - 9.5 MB - MD5: 9c535854f7ef1d3abfcfbdd44014998c
Groundwater recharge areas to groundwater bodies in Denmark. Calculated using the National Hydrological Model (dkm2023)
ZIP Archive - 36.2 MB - MD5: 11b03f9a0769d558a4477489ea973388
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)
Dec 4, 2025 - Automatic weather stations
How, P.; Lund, M.C.; Ahlstrøm, A.P.; Andersen, S.B.; Box, J.E.; Citterio, M.; Colgan, W.T.; Fausto, R.S.; Karlsson, N.B.; Jakobsen, J.; Jakobsgaard, H.T.; Larsen, S.H.; Mankoff, K.D.; Nielsen, R.B.; Rutishauser, A.; Shield, C.L.; Solgaard, A.M.; Stevens, I.T.; van As, D.; Vandecrux, B.; Abermann, J.; Bjørk, A.A.; Langley, K.; Lea, J.; Messerli, A.; Prinz, R., 2022, "PROMICE and GC-Net automated weather station data in Greenland", https://doi.org/10.22008/FK2/IW73UU, GEUS Dataverse, V32
PROMICE and GC-Net automated weather station (AWS) data in Greenland. The data is available either as csv or netcdf files. Station locations, installation (if necessary, decommission) date, location type (tundra, ice sheet, local glacier), station type (one or two levels of measu...
Adobe PDF - 101.6 KB - MD5: 1f584bdd48105172279b13ab1bcf9450
Uploaded with pyDataverse 2025-12-03 17:47
Comma Separated Values - 3.5 KB - MD5: 24b012ef110fda2ac76392cfe8a62f25
Uploaded with pyDataverse 2025-12-03 17:46
Comma Separated Values - 6.0 KB - MD5: e649b9c77d6cce2541ae0e0e9503c842
Uploaded with pyDataverse 2025-12-03 17:46
Comma Separated Values - 2.8 MB - MD5: fd5abd40115e1a5b1cf45fede23e4410
Uploaded with pyDataverse 2025-12-03 17:17
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