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MD5: 8ee1943a0900a052904747bbb4ed3821
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Unknown - 1.4 MB -
MD5: c91fb872908eaed8a0306be9324e8fb2
Electrical resistivity model |
Nov 18, 2025 - University of Oslo
Minakov Alexander, 2025, "Ocean Bottom Seismometer data in Storfjorden", https://doi.org/10.18710/2E7CKW, DataverseNO, V3
In 2014, three ocean bottom seismometer (OBS) profiles were acquired across the northern extension of the Scandinavian Caledonides in the Barents Sea by the University of Bergen (UiB) and the University of Oslo (UiO) in cooperation with GEOMAR using the research vessel Håkon Mosby, The work was carried out as part of the Barents Sea Paleozoic basem... |
Nov 18, 2025 -
Ocean Bottom Seismometer data in Storfjorden
Plain Text - 237 B -
MD5: a2393c67e49b0c3bd33320bd40ab9481
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Nov 18, 2025 -
Ocean Bottom Seismometer data in Storfjorden
Plain Text - 51.0 KB -
MD5: e8a7881d7de6e75a087badd6ed0862a0
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Nov 18, 2025 - UiT The Arctic University of Norway
Berthelot Fanny; Stien Audun; Soininen Eeva M.; Tveraa Torkild; Bråthen Kari Anne; Bohner Hanna, 2025, "Replication Data for: Are large-scale differences in temperature and reindeer management regime affecting the quality of reindeer’s summer forage?", https://doi.org/10.18710/XY2WYR, DataverseNO, V1
The dataset is an aggregation of data from different studies aimed at developing near-infrared reflectance spectroscopy (NIRS) calibrations of plant parts to analyze leaf nutrients and defense compounds content. This study was designed to investigate whether the chemical composition of plants was varying with warmer temperatures and different grazi... |
Plain Text - 5.3 KB -
MD5: 3887dd74c89092586dd57fbb3be9806b
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MD5: 9a077b37db12107155af6016fee8beba
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R Syntax - 21.9 KB -
MD5: bff05cb0e8b49e2613c5a1de040957fc
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