Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

2,751 to 2,760 of 7,224 Results
BeadpackDynamicsCTscans61-70.zip
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: 696e2966c3b782ebc6a1a25f137674d5
BeadpackDynamicsCTscans71-80.zip
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
BeadpackDynamicsCTscans81-90.zip
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
BeadpackDynamicsCTscans91-100.zip
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
Bentheimer_dry.zip
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.
Bentheimer_dynamics.zip
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.
A Spatial-statistical model to analyse historical rutting data
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), be...
00_ReadMe.txt
Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data
Plain Text - 11.1 KB - MD5: 2fa22d1aecd1df02d832f2c0c046a17a
Description of data
01_2024_Figures.zip
Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data
ZIP Archive - 13.2 MB - MD5: cd572537d71f1d1a1bbf134d164c959f
All figures and plot used in preprint
02_2024_Dataset.geojson
Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data
GeoJSON - 993.2 MB - MD5: a1d5e6768a5829f877f2eec6a4e0b532
Annual rutting data, with known explanatory variables, and geographical location
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.