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The data are from a suite of friction experiments performed on 3 different grain size quartz gouges (5, 15 and 30 microns). The quartz gouge layers were sheared under a range of effective normal stresses (40-120 MPa), at a displacement rate of 1 micron/s, and the evolution of shear stress was monitored with increasing displacement (up to a maximum displacement of 8.5 mm). The gouges typically exhibit a transition from stable sliding, where the gouge layers shear in a continuous smooth fashion, to unstable sliding with displacement, where the gouges exhibit stick-slip behaviour. The transition from stable to unstable sliding occurs more efficiently in fine-grained quartz gouges and is promoted by high effective normal stresses.
Petrographic, whole-rock, quartz and zircon geochemistry, zircon Lu-Hf isotopes, molybdenite Re-Os geochronology and zircon U-Pb CA-ID-TIMS data from the Yerington Batholith, Nevada, USA. This data set comprises 10 .xlsx files collected during 2017-2022, as summarised below. They are each numbered as per their place as Supplementary Data within L. C. Carter’s PhD thesis “Exsolution depth and migration pathways of mineralising fluids in porphyry deposit-forming magmatic systems” (Camborne School of Mines, University of Exeter). 3.1_QEMSCAN data – QEMSCAN automated mineralogical assessment of a thin section made from drill core from the Ann Mason porphyry deposit, containing quartz unidirectional solidification textures (USTs) interlaid with aplite, hosted within an aplite dyke that cross-cuts a porphyry dyke. Analysed at Camborne School of Mines. 3.2 EPMA data – trace elements (Ti, Fe, Al) of quartz USTs, measured by EPMA spot analysis at Camborne School of Mines. 4.1 EPMA and IBA analyses – trace elements of quartz in miarolitic cavities and aplite dykes, measured by EPMA spot analysis at Camborne School of Mines and Total-IBA at UKNIBC, University of Surrey. Also includes Total-IBA map of titanium in quartz in a miarolitic cavity hosted in an aplite dyke. 4.2 QEMCAN data - QEMSCAN automated mineralogical assessment of a thin section of a mineralised miarolitic cavity hosted within an aplite dyke which cross-cuts the Luhr Hill granite. Analysed at Camborne School of Mines. 5.1 Full sample list – Full sample list for the following data sets. 5.2 Geochronology data – Zircon U-Pb CA-ID-TIMS geochronology data from across the Yerington batholith, analysed at NIGL, BGS. Molybdenite Re-Os geochronology data from the Ann Mason porphyry deposit, analysed at Durham University. 5.3 QEMCAN data - QEMSCAN automated mineralogical assessments of thin sections of a miarolitic cavities hosted within aplite dykes. Analysed at Camborne School of Mines. 5.4 Whole rock geochem data – Whole rock major (XRF) and trace element (ICP-MS) geochemistry data, analysed at University of Leicester. 5.5 Zircon LA-ICP-MS data – analysed at Natural History Museum, London 5.6 Zircon Lu-Hf isotope data – analysed at NIGL, BGS. Together, these files form the supplementary data files for L.C. Carter’s PhD thesis “Exsolution depth and migration pathways of mineralising fluids in porphyry deposit-forming magmatic systems” (Camborne School of Mines, University of Exeter). Please refer to the thesis for further details. These data are previously published as Carter et al. (2021, Communications Earth & Environment), Carter and Williamson (2022, Ore Geology Reviews) and Carter et al. (2022, Scientific Reports).
P* data obtained through hydrostatic loading experiments, using triaxial experimental apparatus, as well as yield curve data obtained through differential loading tests, prior to the discovery of P* for different synthetic sandstones. The methodology used was taken from Bedford et al. (2018, 2019). Grain size analysis data obtained using a Beckman Coulter LS 13 320 laser diffraction particle size analyser. Particle analysis was conducted on five different synthetic sandstones with different grain size distributions. Secondary electron and backscatter electron SEM images for natural and synthetic sandstones. Secondary electron images were stitched together to form a whole core image. They were then binarised following the methodology of Rabbani and Ayatollahi. (2015). Hexagon grid size data used to obtain the correct grid size for performing porosity analysis across an mage using Fiji software (Brown, 2000). Bedford, J. D., Faulkner, D. R., Leclère, H., & Wheeler, J. (2018). High-Resolution Mapping of Yield Curve Shape and Evolution for Porous Rock: The Effect of Inelastic Compaction on 476 Porous Bassanite. Journal of Geophysical Research: Solid Earth, 123(2), 1217–1234. Bedford, J. D., Faulkner, D. R., Wheeler, J., & Leclère, H. (2019). High-resolution mapping of yield curve shape and evolution for high porosity sandstone. Journal of Geophysical Research: Solid Earth. Brown, G. O., Hsieh, H. T., & Lucero, D. A. (2000). Evaluation of laboratory dolomite core sample size using representative elementary volume concepts. Water Resources Research, 36(5), 484 1199–1207. Rabbani, A., & Ayatollahi, S. (2015). Comparing three image processing algorithms to estimate the grain-size distribution of porous rocks from binary 2D images and sensitivity analysis of the grain overlapping degree. Special Topics & Reviews in Porous Media: An International Journal, 6(1).