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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311 to 320 of 24,469 Results
Plot_Unique_Vertices_on_TileP.ipynb
Feb 2, 2025 - Aperiodic-Seismic-Arrays
Jupyter Notebook - 3.2 KB - MD5: 02bc6b0f1d495b64381f75777c472372
Polygone_large.kml
Feb 2, 2025 - Aperiodic-Seismic-Arrays
Keyhole Markup Language - 1.5 KB - MD5: 822d752d8d22c6846ec43efa76f21800
Polygone_small.kml
Feb 2, 2025 - Aperiodic-Seismic-Arrays
Keyhole Markup Language - 1.8 KB - MD5: 8d5eaf1dfbf4c19a5725dc60d1ee7e46
README-checkpoint.md
Feb 2, 2025 - Aperiodic-Seismic-Arrays
Markdown Text - 166 B - MD5: 296ac2ebc19282c08c23520cf171b101
README.md
Feb 2, 2025 - Aperiodic-Seismic-Arrays
Markdown Text - 425 B - MD5: c7868f851c12a0e4b01e4f19da1412ab
Save_Chrial_Specter_Vertices_from_Polygon_to_KML_ARF-checkpoint.ipynb
Feb 2, 2025 - Aperiodic-Seismic-Arrays
Jupyter Notebook - 12.0 KB - MD5: 6bb881823278187b550b1e64ab58032f
Save_Chrial_Specter_Vertices_from_Polygon_to_KML_ARF.ipynb
Feb 2, 2025 - Aperiodic-Seismic-Arrays
Jupyter Notebook - 1.2 MB - MD5: 4c7fa65f8fc9df9e3689f9de2308fe2b
Save_Multiple_TileP_Tiling_Extract_UniqueVertices_to_text_and_KML-checkpoint.ipynb
Feb 2, 2025 - Aperiodic-Seismic-Arrays
Jupyter Notebook - 3.7 KB - MD5: 5ebc79deee75e729569f8aa2d4145fae
Save_Multiple_TileP_Tiling_Extract_UniqueVertices_to_text_and_KML.ipynb
Feb 2, 2025 - Aperiodic-Seismic-Arrays
Jupyter Notebook - 3.7 KB - MD5: 5ebc79deee75e729569f8aa2d4145fae
Save_Penrose_Extract_UniqueVertices_to_text_and_KML_ARF-checkpoint.ipynb
Feb 2, 2025 - Aperiodic-Seismic-Arrays
Jupyter Notebook - 9.9 KB - MD5: 7c528797236e27388e295556baf6d610
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