2,621 to 2,630 of 12,889 Results
Apr 9, 2024 -
Replication data for: Near-surface characterization using shear-wave resonances: A case study from offshore Svalbard, Norway
MATLAB Data - 29.9 MB -
MD5: 755c320da8761996cf3714be1398ae60
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Apr 9, 2024 -
Replication data for: Near-surface characterization using shear-wave resonances: A case study from offshore Svalbard, Norway
MATLAB Data - 138.4 MB -
MD5: 76e4962ca575fb9b62b1c3a99c4029b0
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Apr 7, 2024 - NTNU – Norwegian University of Science and Technology
Tekseth, Kim Robert; Breiby, Dag Werner, 2024, "Replication Data for: 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography", https://doi.org/10.18710/5EOSVJ, DataverseNO, V2
Dataset for 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography. It provides the raw computed tomography scans of two-phase fluid flow in two porous media, a Bentheimer sample and a glass beadpack sample. The abstract of the manuscript follows: Dynamic three-dimensional computed tomography (CT) imaging of l... |
Apr 7, 2024 -
Replication Data for: 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography
Plain Text - 5.1 KB -
MD5: 195d18c5577b2d7b8430f0ab424e0da0
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Mar 22, 2024 - University of Oslo
Eigeland, Lotte, 2024, "Grunnlagsdata for studier av littiske studier av funn fra Auravassdraget", https://doi.org/10.18710/LMNLAU, DataverseNO, V1
Grunnlagsdata for rapporten "Steinalderens råstoffbruk i de sørnorske fjelltraktene. Analyse av littisk materiale fra Auravassdraget" av Lotte Eigeland, Kulturhistorisk museum, UiO. Rapporten er tilgjengelig på https://www.duo.uio.no/handle/10852/109918. Rapporten er utarbeidet innenfor rammene av prosjektet "Kulturmøter i Auravassdraget" som er fi... |
Plain Text - 8.1 KB -
MD5: ee522811eed598b686f5ab86d83c73cb
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Plain Text - 29.7 KB -
MD5: c2fc3c890d23c38c0dd9a3a1ef7a8d02
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MS Excel Spreadsheet - 54.4 KB -
MD5: 35417164b6498f1236ad52cfbc235e46
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Plain Text - 23.2 KB -
MD5: 3e5168aab33b19c45a9800616237707c
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MS Excel Spreadsheet - 39.8 KB -
MD5: d9c50882d424e74dc8d236ed07aa9341
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