Studying the geological conditions and processes on land, by the coast and offshore to monitor natural resources and climate. Programme areas include studying the Greenland ice sheet, land and sea, climate change adaptation, earthquakes and seismology and palaeoclimate.

The Nature and climate programme includes contributions from the following departments at GEUS:
  • Geochemistry
  • Geophysics
  • Glaciology and Climate
  • Groundwater and Quaternary Geology Mapping
  • Hydrology
  • Marine Geology
  • Reservoir Geology
  • Stratigraphy

Explore our research group and project dataverses and datasets below.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 24,481 Results
ZIP Archive - 258.1 MB - MD5: 321138ccf5e45e3a9f5356215418dd35
ZIP Archive - 35.7 MB - MD5: 0b3cee789a2373389491b5a3a46fb9a6
Feb 26, 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.; Larsen, S.H.; Mankoff, K.D.; Pedersen, A.Ø; Rutishauser, A.; Shield, C.L.; Solgaard, A.M.; van As, D.; Vandecrux, B.; Abermann, J.; Bjørk, A.A.; Langley, K.; Lea, J.; Prinz, R.; Wright, P.J., 2022, "PROMICE and GC-Net automated weather station data in Greenland", https://doi.org/10.22008/FK2/IW73UU, GEUS Dataverse, V22
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 - 101.2 KB - MD5: c272badde079e2560fc566fb522710e2
Uploaded with pyDataverse 2025-02-26 18:31
Comma Separated Values - 3.4 KB - MD5: 0c3fa9929265f668d1d308f0f6e416f8
Uploaded with pyDataverse 2025-02-26 18:31
Comma Separated Values - 6.1 KB - MD5: c6b5b0b02b97ad82e8ff7cba82caaf78
Uploaded with pyDataverse 2025-02-26 18:31
Comma Separated Values - 13.0 KB - MD5: d742fa54d5da181bce42b5eb104a8235
Comma Separated Values - 2.7 MB - MD5: 5d8d3e84e5d5f3825f6d1e9ce145d7ee
Uploaded with pyDataverse 2025-02-26 18:09
Network Common Data Form - 1.9 MB - MD5: 46d98400fa364ac7a4b21ee2202927e6
Uploaded with pyDataverse 2025-02-26 18:09
Comma Separated Values - 28.3 MB - MD5: 7f150932832fd652909d65cde2448d23
Uploaded with pyDataverse 2025-02-26 18:08
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.