531 to 540 of 26,973 Results
May 15, 2026 - Seismology
Thomas, Christine; Mordret, Aurélien; Hannemann, Katrin; Jensen, Emil Fønss; Klingen, Stefan; Dahl-Jensen, Trine; Svennevig, Kristian; Voss, Peter, 2026, "Array Seismology at the Stevns Peninsula, Denmark", https://doi.org/10.22008/FK2/PU7JLK, GEUS Dataverse, V1
This dataset provides station metadata for a temporary seismological array located at the Stevns Peninsula in Denmark. The array was installed, 26-29 May 2026, as part of the field course “Field Course to Stevns, Denmark, for Installation of Seismic Instruments (and Analysis of I... |
May 15, 2026 -
Array Seismology at the Stevns Peninsula, Denmark
Adobe PDF - 507.8 KB -
MD5: 5a35f2e01861895b06a48ecd7af457c1
Preliminary stations locations |
Comma Separated Values - 24.4 KB -
MD5: de4de9831c35216eb9844213f609963a
Gate metadata. Git hash: 71a43044 |
May 13, 2026 -
Greenland Ice Velocity from Sentinel-1 Edition 5
Network Common Data Form - 350.1 MB -
MD5: 9a11d355ddd4f6c8be2bbb52e3da75eb
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May 13, 2026 -
Greenland Ice Velocity from Sentinel-1 Edition 5
PNG Image - 4.1 MB -
MD5: ac4c7f2327e328fe593b00814303461c
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May 7, 2026 -
Greenland Ice Velocity from Sentinel-1 Edition 5
Network Common Data Form - 329.5 MB -
MD5: ed1605937c97f712c4da3661e3cbf70e
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May 7, 2026 -
Greenland Ice Velocity from Sentinel-1 Edition 5
PNG Image - 3.8 MB -
MD5: 62fd9b40765dbc5db47ef53e5e484d41
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Apr 24, 2026 - Ice-Marginal Lakes
How, P.; Petersen, D.; Kjeldsen, K. K.; Raundrup, K.; Karlsson, N. B.; Messerli, A.; Rutishauser, A.; Carrivick, J. L.; Lea, J. M.; Fausto, R. S.; Ahlstrøm, A. P.; Andersen, S. B., 2025, "Greenland Ice-Marginal Lake Inventory annual time-series Edition 1", https://doi.org/10.22008/FK2/MBKW9N, GEUS Dataverse, V4
This ice-marginal lake dataset is a series of annual inventories, mapping the extent and presence of lakes across Greenland that share a margin with the Greenland Ice Sheet and/or the surrounding ice caps and periphery glaciers. The annual inventories provide a comprehensive reco... |
Unknown - 23.8 MB -
MD5: 0b090a26063d3ef708eca7a139d7c930
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Unknown - 12.5 MB -
MD5: 6e0a2a78605413e5c66ccec571172cd1
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