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Dataset of seismic ambient vibrations from the quaternary Norcia basin (central Italy)

Central Italy was affected by a long seismic sequence in 2016 and 2017, characterized by five main-shocks with Mw>5.0. The Mw 6.5 mainshock occurred on 30 October 2016 close to the town of Norcia, located in the intra-Apennine Norcia basin. Different degrees of damages were observed during this s...

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Autores principales: Ercoli, Maurizio, Di Giulio, Giuseppe, Vassallo, Maurizio, Porreca, Massimiliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267715/
https://www.ncbi.nlm.nih.gov/pubmed/32514415
http://dx.doi.org/10.1016/j.dib.2020.105709
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author Ercoli, Maurizio
Di Giulio, Giuseppe
Vassallo, Maurizio
Porreca, Massimiliano
author_facet Ercoli, Maurizio
Di Giulio, Giuseppe
Vassallo, Maurizio
Porreca, Massimiliano
author_sort Ercoli, Maurizio
collection PubMed
description Central Italy was affected by a long seismic sequence in 2016 and 2017, characterized by five main-shocks with Mw>5.0. The Mw 6.5 mainshock occurred on 30 October 2016 close to the town of Norcia, located in the intra-Apennine Norcia basin. Different degrees of damages were observed during this seismic crisis, caused by a variable seismic shaking. This was also due to important 1D and 2D variation of Quaternary fluvio-lacustrine sediments infilling the basin. Following such considerations, a new geophysical dataset of seismic vibration measurements was acquired in the study area during the period April 2017–November 2019. We collected mainly single-seismic station noise data, to infer the distribution of resonance frequency (f(0)) of the basin. A total of 60 sites were measured to cover the entire extension in the basin. We deployed seismometers along three transects of a total length of 21 km, mostly along the main structural directions of the basin (i.e. NNW-SSE and NE-SW). Two 2D arrays of seismic stations with a elicoidal-shaped geometry, and a set of MASW active data were also acquired in the northern sector of the basin, in order to better constrain the seismic velocity of the sedimentary infilling. These new records have been integrated with available geological information in order to reconstruct the deep structure of the basin, as discussed in the research paper by [2]. The entire dataset used in [2] is here provided, together with 7 additional records recovered for the basin (i.e. N54-N60) and ancillary open-source geospatial data. The dataset can be used for different purposes: specific research on the Norcia basin, comparative studies on similar areas around the world, development of new data modeling and testing of new analysis software, and as a training dataset for machine learning applications.
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spelling pubmed-72677152020-06-07 Dataset of seismic ambient vibrations from the quaternary Norcia basin (central Italy) Ercoli, Maurizio Di Giulio, Giuseppe Vassallo, Maurizio Porreca, Massimiliano Data Brief Earth and Planetary Science Central Italy was affected by a long seismic sequence in 2016 and 2017, characterized by five main-shocks with Mw>5.0. The Mw 6.5 mainshock occurred on 30 October 2016 close to the town of Norcia, located in the intra-Apennine Norcia basin. Different degrees of damages were observed during this seismic crisis, caused by a variable seismic shaking. This was also due to important 1D and 2D variation of Quaternary fluvio-lacustrine sediments infilling the basin. Following such considerations, a new geophysical dataset of seismic vibration measurements was acquired in the study area during the period April 2017–November 2019. We collected mainly single-seismic station noise data, to infer the distribution of resonance frequency (f(0)) of the basin. A total of 60 sites were measured to cover the entire extension in the basin. We deployed seismometers along three transects of a total length of 21 km, mostly along the main structural directions of the basin (i.e. NNW-SSE and NE-SW). Two 2D arrays of seismic stations with a elicoidal-shaped geometry, and a set of MASW active data were also acquired in the northern sector of the basin, in order to better constrain the seismic velocity of the sedimentary infilling. These new records have been integrated with available geological information in order to reconstruct the deep structure of the basin, as discussed in the research paper by [2]. The entire dataset used in [2] is here provided, together with 7 additional records recovered for the basin (i.e. N54-N60) and ancillary open-source geospatial data. The dataset can be used for different purposes: specific research on the Norcia basin, comparative studies on similar areas around the world, development of new data modeling and testing of new analysis software, and as a training dataset for machine learning applications. Elsevier 2020-05-18 /pmc/articles/PMC7267715/ /pubmed/32514415 http://dx.doi.org/10.1016/j.dib.2020.105709 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Earth and Planetary Science
Ercoli, Maurizio
Di Giulio, Giuseppe
Vassallo, Maurizio
Porreca, Massimiliano
Dataset of seismic ambient vibrations from the quaternary Norcia basin (central Italy)
title Dataset of seismic ambient vibrations from the quaternary Norcia basin (central Italy)
title_full Dataset of seismic ambient vibrations from the quaternary Norcia basin (central Italy)
title_fullStr Dataset of seismic ambient vibrations from the quaternary Norcia basin (central Italy)
title_full_unstemmed Dataset of seismic ambient vibrations from the quaternary Norcia basin (central Italy)
title_short Dataset of seismic ambient vibrations from the quaternary Norcia basin (central Italy)
title_sort dataset of seismic ambient vibrations from the quaternary norcia basin (central italy)
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267715/
https://www.ncbi.nlm.nih.gov/pubmed/32514415
http://dx.doi.org/10.1016/j.dib.2020.105709
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