Published January 9, 2023
| Version 1.0.0
Dataset
Open
Supplementary data for the journal article "Quantifying the impact of 3D pore space morphology on diffusive mass transport in loam and sand"
Creators
- 1. Institute of Stochastics, Ulm University, Ulm, Germany
- 2. Mathematical Institute for Machine Learning and Data Science, Catholic University of Eichstätt-Ingolstadt, Ingolstadt, Germany
- 3. Department of Mathematics, Friedrich–Alexander University of Erlangen–Nürnberg, Erlangen, Germany
- 4. Department of Soil System Science, Helmholtz-Centre for Environmental Research - UFZ, Halle, Germany
Description
Binarized cutouts (black=pore, white=soil) of 3D CT images of soil samples from loam and sand together with geometrical descriptors and diffusive properties computed on these cutouts. The geometrical descriptors include, among others, porosity, specific surface area, geodesic tortuosity, geometric tortuosity, constrictivity, mean chord length and mean of spherical contact distribution. Diffusion is quantified by the so-called M-factor which equals the ratio of the effective and intrinsic diffusivity.
This data supplements the journal article "Quantifying the impact of 3D pore space morphology on diffusive mass transport in loam and sand". Additional information can be found there.
Files
characteristics.csv
Files
(685.0 MB)
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md5:046a54969493ed4d832873f26b40881a
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md5:e32b2809a2a096059127831ce105e51b
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