Data and scripts from Neighbouring segments control on earthquake recurrence patterns: Insights from scaled seismotectonic models

DOI

We provide particle image correlation data from the 16 laboratory experiments with Foamquake seismotectonic model simulating analog megathrust seismic cycles and supporting scripts. To monitor analog seismic cycles, we use a high-resolution camera taking images at 50 frames per second as an analog of a geodetic satellite. We are using a trench orthogonal surface velocity time series extracted from the central points located above the seismic asperities using Particle Image Velocimetry (PIV) method.

The scripts and datasets are provided as supplementary materials to the article "Neighbouring segments control on earthquake recurrence patterns: Insights from scaled seismotectonic models" by Latypova et al., 2025. The data originate from analog experiments using the Foamquake seismotectonic model, designed at the Laboratory of Experimental Tectonics (LET) at Roma Tre University to replicate megathrust seismic cycles.

Observations were recorded with a high-resolution camera, and surface velocity fields were extracted using the Particle Image Velocimetry (PIV) technique, which applies cross-correlation between consecutive frames.

This research was funded by the European Union, ERC project Tectovison, 101042674. The original data were obtained from the Laboratory of Experimental Tectonics (LET), Università Roma Tre, Rome, Italy. LET activity is possible thanks to EPOS ITALIA, PNRR-MEET, the FIS project ScaleMod and the Grant to the Department of Science, Roma Tre University. Fabio Corbi thanks PRIN: Progetti di ricerca di rilevante interesse nazionale (2022MJ82MC; PREVENT) and fondazione CARIPLO for Supporto ai giovani talenti italiani nelle competizioni dell'European Research Council (2023-2518; SENTINEL).

Identifier
DOI https://doi.org/10.5880/fidgeo.2025.046
Related Identifier Cites https://doi.org/10.1029/JB084iB11p06140
Related Identifier Cites https://doi.org/10.1029/2018GL081251
Related Identifier Cites https://hdl.handle.net/10523/12293
Related Identifier Cites https://doi.org/10.1029/2010GC003230
Related Identifier Cites https://doi.org/10.1111/j.1365-246X.1991.tb02498.x
Related Identifier Cites https://doi.org/10.1029/2021JB021996
Related Identifier Cites https://doi.org/10.1029/ME004p0579
Related Identifier Cites https://doi.org/10.1029/2021JB022789
Related Identifier Cites https://doi.org/10.5880/fidgeo.2021.047
Related Identifier Cites https://www.duo.uio.no/bitstream/handle/10852/10196/mech-02-04.pdf
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:8528
Provenance
Creator Latypova, Elvira ORCID logo; Corbi, Fabio ORCID logo; Mastella, Giacomo ORCID logo; Funiciello, Francesca ORCID logo; Moreno, Marcos ORCID logo; Bedford, Jonathan ORCID logo
Publisher GFZ Data Services
Contributor Latypova, Elvira; Corbi, Fabio; Mastella, Giacomo; Funiciello, Francesca; Moreno, Marcos; Bedford, Jonathan; Laboratory of Experimental Tectonics (University of Roma TRE, Italy); Latypova Elvira
Publication Year 2025
Funding Reference European Research Council http://dx.doi.org/10.13039/501100000781 Crossref Funder ID 101042674 Tectovison (ERC Grant)
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Latypova, Elvira (Ruhr-Universität Bochum; Bochum, Germany); Latypova Elvira (Ruhr-Universität Bochum; Bochum, Germany)
Representation
Resource Type Dataset
Discipline Geospheric Sciences