X-ray CT scan dataset of Darley Dale sandstone sample tts6. This sample was deformed in a true triaxial apparatus, and is fully described in the PhD thesis of Stuart (1992, UCL). The sample is a cube, measuring approximately 50 mm on a side. The sample experienced two sets of true triaxial deformation (test DDSS0009 and DDSS0010), with different applied stresses in the 1, 2 and 3 directions. This deformation produced distinct families of brittle microcracks, which were detected using acoustic emissions and seismic velocity analysis. This X-ray CT scan dataset was collected in 2019 at the University of Aberdeen by Dr Stewart Chalmers and Dr Dave Healy.

Data used for the peer-reviewed manuscript entitled 'Variation of hydraulic properties due to dynamic fracture damage: Implications for fault zones' by Aben, FM, Doan, M-L, and Mitchell, TM. Manuscript currently in revision for Journal of Geophysical Research. Data consists of: Text files with the mechanical data timeseries (confining pressure, and pore volume and pore fluid pressure for two pore fluid pressure intensifiers) obtained during permeability measurements of deformed rock samples. File name contains sample number. Additional two mechanical data files (calib15 and calib18) are calibration files for the pore volume measurements. Manually traced X-ray CT images obtained on six samples.

This dataset comprises X-ray tomography image stacks, label files, and vector matrices containing 3D location coordinates of velocity distributions derived from permeability simulations for igneous mushy samples. The X-ray tomography images have spatial resolutions ranging from 3.5 to 56 µm, providing detailed 3D representations of the rock samples. The data were collected with samples from four distinct locations: Brandur (Iceland), Avellino (Italy), K?lauea Iki (Hawaii, USA), and Saint Kitts (St. Kitts and Nevis). Additionally, the dataset includes electron microprobe analyses of plagioclase and amphibole minerals from Saint Kitts. The primary purpose of this dataset is to support research into volcanic processes, rock sample analysis, and permeability simulations in igneous cumulate and plutonic rocks. It is particularly useful for geologists, volcanologists, and researchers in material science and structural geology. Each sample in the dataset is organised into a dedicated folder containing the following X-ray tomography image stacks (in a separate folder named as the sample), label files (.am files named using the sample name as a prefix), binary images of the connected plutonic matrices (.am files with the suffix “Axis-Connectivity”), vector matrices with 3D location coordinates (“PotentialZ” for the pressure field, “VelocityZ” for the velocity field), a DOCX file with the metadata for the sample such as voxel size and the number of layers for each label, and, where applicable, a subfolder with SEM images.

The images in this dataset are a sample of Ketton carbonate from a micro-computed tomography (micro-CT) scan acquired with a voxel resolution of 4.52 µm. This dataset is part of a study on the effects of Voxel Resolution in a study of flow in porous media. A brief overview of this study summarised from Shah et al 2015 follows. A fundamental understanding of flow in porous media at the pore-scale is necessary to be able to upscale average displacement processes from core to reservoir scale. The study of fluid flow in porous media at the pore-scale consists of two key procedures: Imaging reconstruction of three-dimensional (3D) pore space images; and modelling such as with single and two-phase flow simulations with Lattice-Boltzmann (LB) or Pore-Network (PN) Modelling. Here we analyse pore-scale results to predict petrophysical properties such as porosity, single phase permeability and multi-phase properties at different length scales. The fundamental issue is to understand the image resolution dependency of transport properties, in order to up-scale the flow physics from pore to core scale. Shah, S M, Gray, F, Crawshaw, J P, and Boek, E S. 2015. Micro-Computed Tomography pore-scale study of flow in porous media: Effect of Voxel Resolution. Advances in Water Resources July 2015 doi:10.1016/j.advwatres.2015.07.012