151 to 160 of 501 Results
Sep 6, 2023 -
micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing
Gzip Archive - 13.3 MB -
MD5: 61db5ecdd97e62ab0956fa9f012c9f95
Binarized micro-XRCT data set in 8 bit *.tif file format. 625x625x1655 voxels with a uniform voxel size of 28.0 µm (2x2x2 binned). |
Sep 6, 2023 -
micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing
Gzip Archive - 33.5 GB -
MD5: 754087605515ad8df4e150645f227bd1
Projection images (360 deg, angle increment 0.2 deg, top and bottom part), dark image (di) and open beam image (ob) in 16 bit *.tif file format. (internal ID: 20220216_03) |
Sep 6, 2023 -
micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing
Gzip Archive - 8.9 GB -
MD5: 7e3231d52342b9e78cd48725359ea8a3
Reconstructed micro-XRCT data sets (top and bottom part) in 16 bit *.tif file format. 1250x1250x2305 voxels each with a uniform voxel size of 14.0 µm. (internal ID: 20220216_03) |
Sep 4, 2023
This dataverse includes the underlying measurment and simulation data of the publication: Lee, D., Ruf, M., Karadimitriou, N., Steeb, H., Manousidaki, M., Varouchakis, E.A., Tzortzakis, S., & Yiotis, A. (2023). Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation... |
Aug 4, 2023 - Publication: Microfluidic experiments
Karadimitriou, Nikolaos; Lee, Dongwon; Steeb, Holger, 2023, "Visual characterization of displacement processes in porous media", https://doi.org/10.18419/DARUS-3615, DaRUS, V1
This dataset correlates to the submitted article to IEEE VIS 2023, entitled “Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs”, by Straub et al. 2023. More specifically, this data set is the one used to create the graphs shown in all Figures, except Figure 2, of the article. In this work, 11 experiments we... |
TAR Archive - 1.1 GB -
MD5: b0496315f0fb470704ad4311841c41f1
The images for Network 1. The sub-folders provide information regarding the acquisition frame rate, the capillary number, and the viscosity. |
TAR Archive - 4.3 GB -
MD5: 4c279f7e1c577f82ce2a04463662beed
All images for Network 2. The sub-folders provide information on the capillary number, the viscosity ratio, and the acquisition frames per second. |
TAR Archive - 6.0 GB -
MD5: 3e2d0a8f006250c0d1a0f31243f29052
The images from Network 3 for all processes. The sub-folders provide information about the capillary number, the viscosity ratio, and the frames per second. |
TAR Archive - 426.1 MB -
MD5: bac24fa16579239bc086acbe29c2d278
All images for Network 4. The sub-folders provide information on the capillary number, the viscosity ratio, and the acquisition frames per second. |
May 4, 2023 - Publication: Particulate systems
Ruf, Matthias; Taghizadeh, Kianoosh; Steeb, Holger, 2023, "micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, and 30% volume rubber content: samples 2 and 3", https://doi.org/10.18419/DARUS-3437, DaRUS, V1, UNF:6:LyvQPm+lMHvJ9Z4neyxihA== [fileUNF]
This dataset contains 12 micro X-ray Computed Tomography (micro-XRCT) data sets from scans of cylindrical particulate mixture samples (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The samples consist of monodisperse stiff (glass) and soft (rubber) particle mixtures. Both particles have an identical diameter of... |