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QUaternary fault strain INdicators database - QUIN 1.0 - first release from the Apennines of central Italy

We present QUIN, a “QUaternary fault strain INdicators database”, designed to integrate and unify published and unpublished local-scale geological information and derive strain parameters for structural and seismotectonic analyses. It provides data on 3339 Fault Striation Pairs (FSP; fault plane and...

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Autores principales: Lavecchia, Giusy, Bello, Simone, Andrenacci, Carlo, Cirillo, Daniele, Ferrarini, Federica, Vicentini, Noemi, de Nardis, Rita, Roberts, Gerald, Brozzetti, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098408/
https://www.ncbi.nlm.nih.gov/pubmed/35551216
http://dx.doi.org/10.1038/s41597-022-01311-8
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author Lavecchia, Giusy
Bello, Simone
Andrenacci, Carlo
Cirillo, Daniele
Ferrarini, Federica
Vicentini, Noemi
de Nardis, Rita
Roberts, Gerald
Brozzetti, Francesco
author_facet Lavecchia, Giusy
Bello, Simone
Andrenacci, Carlo
Cirillo, Daniele
Ferrarini, Federica
Vicentini, Noemi
de Nardis, Rita
Roberts, Gerald
Brozzetti, Francesco
author_sort Lavecchia, Giusy
collection PubMed
description We present QUIN, a “QUaternary fault strain INdicators database”, designed to integrate and unify published and unpublished local-scale geological information and derive strain parameters for structural and seismotectonic analyses. It provides data on 3339 Fault Striation Pairs (FSP; fault plane and slickenline), distributed within 455 survey sites. These are exposed along the intra-Apennine Quaternary extensional faults of Central Italy. The area covers an extent of ~550 km in a NW-SE direction. We give information on FSP location, attitude and kinematics, and deformation axes. We also provide an original shapefile of the faults hosting the FSP. A large amount of homogeneously distributed Quaternary fault/slip data help to clarify and implement the contemporary geometric and kinematic deformation pattern of Central Italy that appears scattered and incomplete whenever exclusively derived from earthquake data. The high-density of structural data can help investigate stress pattern heterogeneities at local scales, with relevance for new generations of hazard assessment evaluation and a better understanding of rupture propagation and related barriers.
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spelling pubmed-90984082022-05-14 QUaternary fault strain INdicators database - QUIN 1.0 - first release from the Apennines of central Italy Lavecchia, Giusy Bello, Simone Andrenacci, Carlo Cirillo, Daniele Ferrarini, Federica Vicentini, Noemi de Nardis, Rita Roberts, Gerald Brozzetti, Francesco Sci Data Data Descriptor We present QUIN, a “QUaternary fault strain INdicators database”, designed to integrate and unify published and unpublished local-scale geological information and derive strain parameters for structural and seismotectonic analyses. It provides data on 3339 Fault Striation Pairs (FSP; fault plane and slickenline), distributed within 455 survey sites. These are exposed along the intra-Apennine Quaternary extensional faults of Central Italy. The area covers an extent of ~550 km in a NW-SE direction. We give information on FSP location, attitude and kinematics, and deformation axes. We also provide an original shapefile of the faults hosting the FSP. A large amount of homogeneously distributed Quaternary fault/slip data help to clarify and implement the contemporary geometric and kinematic deformation pattern of Central Italy that appears scattered and incomplete whenever exclusively derived from earthquake data. The high-density of structural data can help investigate stress pattern heterogeneities at local scales, with relevance for new generations of hazard assessment evaluation and a better understanding of rupture propagation and related barriers. Nature Publishing Group UK 2022-05-12 /pmc/articles/PMC9098408/ /pubmed/35551216 http://dx.doi.org/10.1038/s41597-022-01311-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Lavecchia, Giusy
Bello, Simone
Andrenacci, Carlo
Cirillo, Daniele
Ferrarini, Federica
Vicentini, Noemi
de Nardis, Rita
Roberts, Gerald
Brozzetti, Francesco
QUaternary fault strain INdicators database - QUIN 1.0 - first release from the Apennines of central Italy
title QUaternary fault strain INdicators database - QUIN 1.0 - first release from the Apennines of central Italy
title_full QUaternary fault strain INdicators database - QUIN 1.0 - first release from the Apennines of central Italy
title_fullStr QUaternary fault strain INdicators database - QUIN 1.0 - first release from the Apennines of central Italy
title_full_unstemmed QUaternary fault strain INdicators database - QUIN 1.0 - first release from the Apennines of central Italy
title_short QUaternary fault strain INdicators database - QUIN 1.0 - first release from the Apennines of central Italy
title_sort quaternary fault strain indicators database - quin 1.0 - first release from the apennines of central italy
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098408/
https://www.ncbi.nlm.nih.gov/pubmed/35551216
http://dx.doi.org/10.1038/s41597-022-01311-8
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