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

25,231 to 25,240 of 25,464 Results
PNG Image - 158.8 KB - MD5: dc9fb055fab40e6f72e249725333038f
Map overview of the GNSS survey locations at Camp Century: CEN, CEN-GPS and the seven-stake strain network (S1, S2, S3, S4, S5, S6 and S7).
Camp Century Climate(Department of Glaciology and Climate, Geological Survey of Denmark and Greenland)
Camp Century Climate logo
Jun 1, 2022
This Dataverse contains the datasets produced for the Camp Century Climate project. Please visit the website http://campcenturyclimate.dk
Unknown - 193.2 KB - MD5: e8e33de7312409580769153864b9b12f
Geothermal heat flow map from machine-learning algorithm (10 km interpolated resolution) - including NGRIP
Unknown - 23.9 KB - MD5: c9737efe56c8e2f3c3bea22be68a9b7b
Geothermal heat flow map from machine-learning algorithm (55 km native resolution) - including NGRIP
Plain Text - 169.9 KB - MD5: dd4ff64dfe3195a7011c327b1dba0420
Geothermal heat flow output (min, mean, max) from machine learning algorithm - including NGRIP
Plain Text - 169.8 KB - MD5: b6f847b9f0caa473752b8fef75086df8
Geothermal heat flow output (min, mean, max) from machine learning algorithm
Unknown - 192.4 KB - MD5: 9e4445114b9cd0b866ffa51249e3ebe5
Geothermal heat flow map from machine-learning algorithm (10 km interpolated resolution)
Unknown - 23.9 KB - MD5: b53fa686d26113c93bebebfb61e23cf9
Geothermal heat flow map from machine-learning algorithm (55 km native resolution)
Unknown - 6.3 KB - MD5: 81eeef890df7f1d6b51d821023fa0f42
Domain shapefile: area within 500 km of Greenland's coasts (EPSG:3413).
Unknown - 211.4 KB - MD5: 76c2bbe9c34ec89a815f082f28d3112e
Spreadsheet of heat flow measurement database.
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.