Research Data Leeds Repository

Citation

Amey, Ruth M. J. (2018) Central Tottori Earthquake geodetic slip inversion tools and data. University of Leeds. [Dataset] https://doi.org/10.5518/446

Dataset description

This dataset contains all the data required to run perform a geodetic slip inversion using the software slipBERI (https://doi.org/10.5518/444) for the 2016, Mw 6.2 Central Tottori, Japan earthquake. Additionally this dataset contains the models runs of the solutions found in the associated thesis and paper.

Additional information:	The files in this dataset were modified based on reviewer comments.
Keywords:	geodetic slip inversion, self-similarity, Central Tottori earthquake, InSAR, coseismic, modelling, von Karman regularisation
Subjects:	F000 - Physical sciences > F600 - Geology > F660 - Geophysics F000 - Physical sciences > F600 - Geology > F680 - Geohazards
Divisions:	Faculty of Environment > School of Earth and Environment > Institute for Climate and Atmospheric Science
Related resources:	Location Type https://doi.org/10.1029/2017JB015316 Publication https://eprints.whiterose.ac.uk/131973/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	08 Nov 2018 21:05
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/445
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Amey, Ruth M. J. https://orcid.org/0000-0002-9540-7916 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Contributors: Contribution Name ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Supervisor Hooper, Andy https://orcid.org/0000-0003-4244-6652 University of Leeds https://ror.org/024mrxd33 ror Collaborator Morishita, Yu https://orcid.org/0000-0002-0578-7776 Geospatial Information Authority of Japan https://ror.org/042gfy005 ror Research funders: NERC, NERC Grant numbers: NE/L002574/1, GA/13/M/031 Publication date: 2018 Resource language: English Metadata language: English Publisher: University of Leeds Last Modified: 14 Oct 2024 08:45

Files

Documentation

Readme file [100kB] Readme file [100kB] Readme file [100kB] Security: Anyone File name: readme.pdf Content type: Documentation Mime-Type: application/pdf License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 100kB

List of files [1kB] List of files [1kB] List of files [1kB] Security: Anyone File name: file_list.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Data

Central Tottori earthquake data [96kB] Central Tottori earthquake data [96kB] Central Tottori earthquake data [96kB] Security: Anyone File name: data.zip Content type: Data Description: The data files for the Central Tottori earthquake required to run the slip inversion function slipBERI Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 96kB

Central Tottori earthquake slip inversion results [3GB] Central Tottori earthquake slip inversion results [3GB] Central Tottori earthquake slip inversion results [3GB] Security: Anyone File name: models.zip Content type: Data Description: Saved matlab spaces of the Central Tottori earthquake slip inversion model runs Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3GB

Program

Set-up script [6kB] Set-up script [6kB] Set-up script [6kB] Security: Anyone File name: make_tottori_structure_required_for_slipBERI.m Content type: Program Description: Matlab script to set up the inputs required for the function slipBERI, in order to invert the data to produce a slip inversion result Mime-Type: application/vnd.wolfram.mathematica.package License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 6kB