3,021 to 3,030 of 7,493 Results
Feb 27, 2024 -
Replication Data for: 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography
ZIP Archive - 2.6 GB -
MD5: 841f5ff3338e0b541d5b5280a707cbf5
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Feb 27, 2024 -
Replication Data for: 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography
ZIP Archive - 2.6 GB -
MD5: a445f0cf330773d5e54571bf481dfb9c
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Feb 27, 2024 -
Replication Data for: 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography
ZIP Archive - 2.6 GB -
MD5: af2be32089a7686542cd09250aacb552
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Feb 27, 2024 -
Replication Data for: 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography
ZIP Archive - 2.6 GB -
MD5: 94e1fd479d3b06f5e74de98d693eced1
High-quality CT scan of the dry Bentheimer sandstone sample. |
Feb 27, 2024 -
Replication Data for: 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography
ZIP Archive - 13.1 GB -
MD5: 8b440d135e50ac6f39291a424453be29
Fast CT scans of two-phase fluid flow in Benthimer. |
Feb 22, 2024
Jourdain, Natoya O. A. S.; Steinsland, Ingelin; Vedvik, Emil; Birkhez-Shami, Mamoona; Olsen, William; Gryteselv, Dagfin; Siebert, Doreen; Klein-Paste, Alex, 2024, "A Spatial-statistical model to analyse historical rutting data", https://doi.org/10.18710/WD05DG, DataverseNO, V1
The rutting dataset comprises of the annual rutting for years 2010-2020 (millimetre, calculated as the difference between current and previous year's data), with rut depth measurement from the previous year (millimetre), annual average daily traffic (AADT), lane width (metre), bearing capacity for year 2021 (tonnes), surface curvature index for yea... |
Plain Text - 11.1 KB -
MD5: 2fa22d1aecd1df02d832f2c0c046a17a
Description of data |
ZIP Archive - 13.2 MB -
MD5: cd572537d71f1d1a1bbf134d164c959f
All figures and plot used in preprint |
GeoJSON - 993.2 MB -
MD5: a1d5e6768a5829f877f2eec6a4e0b532
Annual rutting data, with known explanatory variables, and geographical location |
R Syntax - 62.4 KB -
MD5: 6c3a71cb4468a916980dc955544fee34
Spatial statistical rutting model with all explanatory variables (R codes) |
