Digital image correlation data from analogue modeling experiments addressing controls of tilting rate on thin-skinned deformation at salt-bearing continental margins

DOI

This data set includes the results of digital image correlation (DIC) of two experiments on gravitational tectonics at passive margins performed at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam in the framework of EPOS transnational access activities in 2018. The experiments aim at documenting the difference in structural evolution between two tilting scenarios: Instant versus progressive, or fast versus slow. Detailed descriptions of the experiments and results can be found in Ge et al. (2019, Geology) to which this data set is supplement. The DIC analysis yields quantitative deformation information of the experiment surfaces by means of 3D surface displacements from which strain has been calculated. The data presented here are visualized as surface uplift and strain maps, strain evolution maps and surface velocity time-series. Python scripts for visualization of data are appended. Parts of this data (see list of files) are derived from Ge et al. (2019, http://doi.org/10.5880/GFZ.4.1.2019.001).

Identifier
DOI https://doi.org/10.5880/GFZ.4.1.2019.006
Related Identifier https://doi.org/10.1130/G46485.1
Related Identifier https://doi.org/10.5880/GFZ.4.1.2019.001
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6734
Provenance
Creator Ge, Zhiyuan ORCID logo; Rosenau, Matthias ORCID logo; Warsitzka, Michael ORCID logo; Robert, Gawthorpe ORCID logo
Publisher GFZ Data Services
Contributor Ge, Zhiyuan; Rosenau, Matthias; Warsitzka, Michael; Robert, Gawthorpe; HelTec - Helmholtz Laboratory for Tectonic Modelling (GFZ German Research Centre for Geosciences, Germany)
Publication Year 2019
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Rosenau, Matthias (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Language English
Resource Type Dataset
Format application/octet-stream
Size 3 Files
Discipline Geosciences