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An open data repository for scientists from the Geological Survey of Denmark and Greenland (GEUS) to share and preserve their data.


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141 to 150 of 32,731 Results
write.py
Jun 9, 2026 - pypromice v1.12.0
Python Source Code - 15.6 KB - MD5: 399014e41ca4d3b7932bb78e1e99e96d
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
IV_ROTR_V5_20260429_20260523.nc
Jun 3, 2026 - Greenland Ice Velocity from Sentinel-1 Edition 5
Network Common Data Form - 324.6 MB - MD5: 6e22a6445c11e1fbf1af930a3c3693b6
Data
IV_ROTR_V5_20260429_20260523.png
Jun 3, 2026 - Greenland Ice Velocity from Sentinel-1 Edition 5
PNG Image - 3.7 MB - MD5: 453191c09d2ebf22228672ec0b2d16fe
Image
AWS_data_readme.pdf
AWS_data_readme.pdf
Jun 3, 2026 - PROMICE and GC-Net automated weather station data in Greenland
Adobe PDF - 101.6 KB - MD5: a58cf9318064c77d9a6b7ca746400b37
Uploaded with pyDataverse 2026-06-01 16:59
AWS_latest_locations.csv
Jun 3, 2026 - PROMICE and GC-Net automated weather station data in Greenland
Comma Separated Values - 3.5 KB - MD5: 32590e72ab7cd7e46185cb566a5888c1
Uploaded with pyDataverse 2026-06-01 16:58
AWS_sites_metadata.csv
Jun 3, 2026 - PROMICE and GC-Net automated weather station data in Greenland
Comma Separated Values - 6.0 KB - MD5: 6be7f0a965dffb60f2a17e095ea7f4e6
Uploaded with pyDataverse 2026-06-01 16:59
AWS_variables.csv
Jun 3, 2026 - PROMICE and GC-Net automated weather station data in Greenland
Comma Separated Values - 13.9 KB - MD5: 7fb0a9cb4ec3469add48484503dab76d
Uploaded with pyDataverse 2026-06-01 16:58
CEN_day.csv
Jun 3, 2026 - PROMICE and GC-Net automated weather station data in Greenland
Comma Separated Values - 2.9 MB - MD5: d50b442b23aab753d1e6cc7c63a0deca
Uploaded with pyDataverse 2026-06-01 16:17
CEN_day.nc
Jun 3, 2026 - PROMICE and GC-Net automated weather station data in Greenland
Network Common Data Form - 2.0 MB - MD5: 7e2963fd60d9f4be3852124a6e16557a
Uploaded with pyDataverse 2026-06-01 16:17
CEN_hour.csv
Jun 3, 2026 - PROMICE and GC-Net automated weather station data in Greenland
Comma Separated Values - 68.3 MB - MD5: 9568d030f19bc0edd0ddad8c0d69a8a4
Uploaded with pyDataverse 2026-06-01 16:15
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