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

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4,001 to 4,010 of 26,057 Results
V7_18S_allshorts_modF_e3_embl143_final_db.fasta
Jun 24, 2024 - ecoPCR results
Unknown - 20.8 MB - MD5: b1e5b0f5f94b4f7757a63f193693d3dc
V7_960F_NSR1438_e3_embl143_final_db.fasta
Jun 24, 2024 - ecoPCR results
Unknown - 26.5 MB - MD5: 7726b83b6e5b9fe4d261c7fcbc765381
V9_1388F_1510R_e3_embl143_final_db.fasta
Jun 24, 2024 - ecoPCR results
Unknown - 7.4 MB - MD5: 5271fb41fd65f4627f86559abccf342b
V9_1389F_1510R_e3_embl143_final_db.fasta
Jun 24, 2024 - ecoPCR results
Unknown - 8.1 MB - MD5: 63f3564b49155909b149c000003718cb
V9_Piredda_e3_embl143_final_db.fasta
Jun 24, 2024 - ecoPCR results
Unknown - 7.3 MB - MD5: d397eda899f40d2de05418cfe8094525
V9_Stoeck_e3_embl143_final_db.fasta
Jun 24, 2024 - ecoPCR results
Unknown - 6.7 MB - MD5: b83e4d46e01b33b98640c65238d3f9a9
DNA metabarcoding Dataverse(Geus.dk)
Jun 24, 2024
Collection of DNA sequencing datasets (raw data) generated via DNA metabarcoding of environmental samples (e.g. water and sediments) and Illumina sequencing.
MB_region.nc
Jun 6, 2024 - Greenland ice sheet mass balance from 1840 through next week
Plain Text - 3.4 MB - MD5: 486588d9bb6d544c8b9610339b88ea98
MB region. Git hash: 20af941
MB_sector.nc
Jun 6, 2024 - Greenland ice sheet mass balance from 1840 through next week
Plain Text - 8.1 MB - MD5: 53a738fb8bd7267d300800136391c4c1
MB by sector. Git hash: 20af941
MB_SMB_D_BMB.csv
Jun 6, 2024 - Greenland ice sheet mass balance from 1840 through next week
Comma Separated Values - 1.1 MB - MD5: 0b93c787c3c838c78830337335d46f1d
MB CSV. Git hash: 20af941
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