Supporting dataset for the article: A transient in surface motions dominated by deep afterslip subsequent to a shallow supershear earthquake: the 2018 Mw 7.5 Palu case.

doi: 10.4121/13537541.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/13537541
Datacite citation style:
Nijholt, Nicolai; Riva, Riccardo; Simons, Wim; Sarsito, Dina; Efendi, Joni (2021): Supporting dataset for the article: A transient in surface motions dominated by deep afterslip subsequent to a shallow supershear earthquake: the 2018 Mw 7.5 Palu case. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13537541.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset contains the processed GPS data and model output files for the article in Geochemistry, Geophysics, Geosystems entitled: A transient in surface motions dominated by deep afterslip subsequent to a shallow supershear earthquake: the 2018 Mw 7.5 Palu case.

The GPS data set includes RINEX files that other researchers can use to reproduce our observations of post-seismic surface displacements in the wake of the 2018 Mw 7.5 Palu earthquake in NW Sulawesi.

The article presents a Bayesian search methodology in which the physical mechanisms underlying the observed post-seismic surface displacements are investigated. Three specific searches of the model parameter space are performed. The model data set in this repository is constituted by data files that contain model parameter values that can be employed in making histograms and determining mean values of said model parameters as well as the mean surface displacements per model search that are depicted in figures of the article.
history
  • 2021-01-08 first online, published, posted
publisher
4TU.ResearchData
funding
  • Multi-disciplinary Approach Towards a Better Understanding of the Seismic Cycle using Two Decades of Space Geodetic Data in Sulawesi SE Asia (MUST2SEA) (grant code ALW-GO/16-35) [more info...] Dutch Research Council
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience & Remote Sensing

DATA

files (2)