A database of centrifuge analogue models testing the influence of inherited brittle fabrics on continental rifting

DOI

This dataset presents the raw data of an experimental series of analogue models performed to investigate the influence of inherited brittle fabrics on narrow continental rifting. This model series was performed to test the influence of brittle pre-existing fabrics on the rifting deformation by cutting the brittle layer at different orientations with respect to the extension direction. An overview of the experimental series is shown in Table 1. In this dataset we provide four different types of data, that can serve as supporting material and for further analysis: 1) The top-view photos, taken at different steps and showing the deformation process of each model; they can be used to interpret the geometrical characteristics of rift-related faults; 2) Digital Elevation Models (DEMs) used to reconstruct the 3D deformation of the performed analogue models, allowing for quantitative analysis of the fault pattern. 3) Short movies built from top-view photos which help to visualize the evolution of model deformation; 4) line-drawing of fault and fracture patters to be used for fault statistical quantification. Further details on the modelling strategy and setup can be found in Corti (2012), Maestrelli et al. (2020), Molnar et al. (2020), Philippon et al. (2015), Zwaan et al. (2021) and in the publication associated with this dataset. Materials used for these analogue models were described in Montanari et al. (2017) Del Ventisette et al. (2019) and Zwaan et al. (2020).

Identifier
DOI https://doi.org/10.5880/fidgeo.2022.043
Related Identifier https://doi.org/10.1016/j.tecto.2011.06.010
Related Identifier https://doi.org/10.1016/j.jsg.2019.103888
Related Identifier https://doi.org/10.1016/S0377-0273(03)00034-9
Related Identifier https://doi.org/10.1016/j.jsg.2016.12.003
Related Identifier https://doi.org/10.1029/2020TC006211
Related Identifier https://doi.org/10.1016/j.epsl.2020.116377
Related Identifier https://doi.org/10.3390/ma10060635
Related Identifier https://doi.org/10.1130/g36208.1
Related Identifier https://doi.org/10.1111/bre.12642
Related Identifier https://doi.org/10.1016/j.tecto.2020.228595
Related Identifier https://doi.org/10.1029/2023TC007947
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7832
Provenance
Creator Zou, Yaoyao ORCID logo; Maestrelli, Daniele ORCID logo; Corti, Giacomo ORCID logo; Del Ventisette, Chiara ORCID logo; Wang, Liang; Shen, Chuanbo ORCID logo
Publisher GFZ Data Services
Contributor Zou, Yaoyao; Maestrelli, Daniele; Corti, Giacomo; Del Ventisette, Chiara; Wang, Liang; Shen, Chuanbo; Tectonics Modelling Laboratory - Firenze (IGG-CNR, Italy)
Publication Year 2023
Funding Reference Ministero dell’Istruzione, dell’Università e della Ricerca http://doi.org/10.13039/501100003407 Crossref Funder ID 2017P9AT72 PRIN2017; Major National Science and Technology Programs 2017ZX05032-002-004 ; China Scholarship Council http://doi.org/10.13039/501100004543 Crossref Funder ID 202106410031 ; AAPG Foundation AAPG Foundation Grants-in-Aid
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Zou, Yaoyao (China University of Geosciences: Wuhan, Hubei, CN); Zou, Yaoyao (Key Laboratory of Tectonics and Petroleum Resources of the Ministry of Education, China University of Geosciences)
Representation
Resource Type Dataset
Discipline Geology; Geosciences; Geospheric Sciences; Natural Sciences
Spatial Coverage (20.027W, -21.726S, 47.800E, 14.151N)