READ ME File For 'experimental dataset for article: The importance of the heel effect in X-ray computed tomography imaging of soils'

Dataset DOI: 10.5258/SOTON/D1579

ReadMe Author: Kui Liu, University of Southampton [ORCID ID 0000-0002-7533-1272]

This dataset supports the publication:
AUTHORS: K. Liu, R. Boardman, M. Mavrogordato, F. A. Loveridge, and W. Powrie
TITLE: The importance of the heel effect in X-ray computed tomography imaging of soils
JOURNAL: Environmental Geotechnics
DOI: https://doi.org/10.1680/jenge.20.00048.

This dataset contains:
Processed data for results in the corresponding fugures and tables in the article

The following data are available:

Figure 2: Grey value (GV) distribution of the specimen container acrylic wall from (a) the HMX with vertical reflection target and (b) the Hutch with horizontal reflection target.
Figure 4: Grey value profiles for the ROIs from four orientations
Figure 6: Processed CT images for Fraction E Leighton Buzzard sand taken from the HMX for: a) a slice near the base; b) a slice near the centre of the specimen; c) GV histograms for the ROI in the two slices.
Figure 7: Porosity distributions from (a) HMX and (b) Versa scans of a 5 mm diameter dry Fraction E Leighton Buzzard sand specimen.
Figure 8: Average and range of grey value gradients for a 5mm internal diameter specimen container using different scan energies in the Benchtop machine.
Figure 9: Porosity distributions from the Fraction E Leighton Buzzard sand scanned using the HMX, illustrating the effect of different thresholding methods.
Figure 13: Porosity distributions using global thresholding for the original and weld wedge correct data. Specimen is 5 mm diameter Fraction E Leighton Buzzard dry sand scanned using the HMX machine.
Table 5: Porosity gradients for different soil grain sizes.

Date of data collection: June 2016

Information about geographic location of data collection: µ-VIS X-ray Imaging Centre, University of Southampton

Related projects: 
Computed Tomography (CT) Scanning to Quantify the Movement of Moisture in Soils under Thermal Gradients


Date that the file was created: October, 2020