Synthetic and experimental friction data processed with steadystate.m
Dataset title | Synthetic and experimental friction data processed with steadystate.m |
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Dataset creators | Piercarlo Giacomel, University of Liverpool Daniel R. Faulkner, University of Liverpool Valère Lambert, University of California, Santa Cruz Michael J. Allen, University of Liverpool |
Dataset theme | Geoscientific Information |
Dataset abstract | This dataset contains raw data from synthetic and experimental velocity steps analyzed using the MATLAB routine ‘steadystate.m’, as presented by Giacomel, P., Faulkner, D.R., Lambert, V., Allen, M.J (2024): ‘steadystate: A MATLAB-based routine for determining steady-state friction conditions in the framework of rate- and state- friction analysis’ – GSA, Geosphere. The data is provided in .zip folder containing the Velocity Steps and the outputs from steadystate.m, along with the scripts used to generate the figures shown in the Manuscript and Supplementary Material. The folder ‘Velocity_Steps’ notably contains the complete suite of mechanical data (subfolder ‘Mechanical_Data), the modelled rate- and state- friction parameters (subfolder ‘Modelled_RSF_Parameters SlipLaw’) obtained by assuming steady state at different displacements, as well as the linear detrended end members (i.e., at short to large displacements) fitted via inverse modelling (subfolder ‘Detrended_Velocity_Steps + Fit-Inversions’). Such observations were foundational for the development of the steadystate.m routine. Each subfolder is accompanied by a README.txt file that reports on the link between the raw .txt data with the MATLAB scripts generating the associated figures. |
Dataset content dates | 01/03/2022 - 01/11/2023 |
Dataset spatial coverage | Not applicable |
Dataset supply format | Txt files m files |
Dataset language | English-United Kingdom |
Dataset discovery metadata record | Discovery Link to the dataset's BGS Discovery Metadata record |
Dataset publisher | NERC EDS National Geoscience Data Centre |
Dataset publication date | 22/02/2024 |
Dataset digital object identifier (DOI) | 10.5285/0a6b0b0c-b84e-44fd-a331-7c1b4ff9165e |
Dataset citation text | Giacomel, P., Faulkner, D.R., Lambert, V., Allen, M.J. (2024). Synthetic and experimental friction data processed with steadystate.m. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/0a6b0b0c-b84e-44fd-a331-7c1b4ff9165e |
Constraints and terms of use | This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]". |
Access the dataset | https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item184041 |
Further information | Associated Paper: P. Giacomel, D.R. Faulkner, V. Lambert, M.J. Allen; steadystate: A MATLAB-based routine for determining steady-state friction conditions in the framework of rate-and-state friction analysis. Geosphere 2024; doi: https://doi.org/10.1130/GES02739.1. For the sepiolite fault gouge used during the friction velocity steps, please refer to: ánchez-Roa, C., Jiménez-Millán, J., Abad, I., Faulkner, D. R., Nieto, F., and García-Tortosa, F. J., 2016, Fibrous clay mineral authigenesis induced by fluid-rock interaction in the Galera fault zone (Betic Cordillera, SE Spain) and its influence on fault gouge frictional properties: Applied Clay Science, v. 134, p. 275-288. Sánchez‐Roa, C., Faulkner, D., Boulton, C., Jimenez‐Millan, J., and Nieto, F., 2017, How phyllosilicate mineral structure affects fault strength in Mg‐rich fault systems: Geophysical Research Letters, v. 44, no. 11, p. 5457-5467. |