Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-519-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-519-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
04 Mar 2020
Data description paper |
| 04 Mar 2020
| 04 Mar 2020
The INSIEME seismic network: a research infrastructure for studying induced seismicity in the High Agri Valley (southern Italy)
Tony Alfredo Stabile
CORRESPONDING AUTHOR
Istituto di Metodologie per l'Analisi Ambientale, Consiglio Nazionale delle Ricerche, Tito (PZ), 85050, Italy
Vincenzo Serlenga
Istituto di Metodologie per l'Analisi Ambientale, Consiglio Nazionale delle Ricerche, Tito (PZ), 85050, Italy
Claudio Satriano
Université de Paris, Institut de physique du globe de Paris, CNRS, UMR 7154, 75238 Paris, France
Marco Romanelli
Centro di Ricerche Sismologiche, Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Sgonico (TS), 34010, Italy
Erwan Gueguen
Istituto di Metodologie per l'Analisi Ambientale, Consiglio Nazionale delle Ricerche, Tito (PZ), 85050, Italy
Maria Rosaria Gallipoli
Istituto di Metodologie per l'Analisi Ambientale, Consiglio Nazionale delle Ricerche, Tito (PZ), 85050, Italy
Ermann Ripepi
Istituto di Metodologie per l'Analisi Ambientale, Consiglio Nazionale delle Ricerche, Tito (PZ), 85050, Italy
Jean-Marie Saurel
Université de Paris, Institut de physique du globe de Paris, CNRS, UMS 3454, 75238 Paris, France
Serena Panebianco
Istituto di Metodologie per l'Analisi Ambientale, Consiglio Nazionale delle Ricerche, Tito (PZ), 85050, Italy
Università degli Studi della Basilicata, Dipartimento di Scienze, Potenza (PZ), 85100, Italy
Jessica Bellanova
Istituto di Metodologie per l'Analisi Ambientale, Consiglio Nazionale delle Ricerche, Tito (PZ), 85050, Italy
Enrico Priolo
Centro di Ricerche Sismologiche, Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Sgonico (TS), 34010, Italy
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Cited
10 citations as recorded by crossref.
- Semi-automated template matching and machine-learning based analysis of the August 2020 Castelsaraceno microearthquake sequence (southern Italy) S. Panebianco et al. 10.1080/19475705.2023.2207715
- Characterizing Seismogenic Fault Structures of the Lake Pertusillo Reservoir Induced Seismicity (Southern Italy) Using a Relocated Template‐Matching Catalog L. Valoroso et al. 10.1029/2022JB025879
- High-density seismic network for monitoring Alentejo region (Portugal) and Mitidja basin region (Algeria) M. Manso et al. 10.1007/s12517-020-05972-w
- Multiscale structural analyses of Mesozoic shallow-water carbonates, Viggiano Mt., southern Italy I. Abdallah et al. 10.1016/j.jsg.2023.104978
- New insights into the High Agri Valley deep structure revealed by magnetotelluric imaging and seismic tomography (Southern Apennine, Italy) M. Balasco et al. 10.1016/j.tecto.2021.228817
- Small-layered Feed-Forward and Convolutional neural networks for efficient P wave earthquake detection S. León et al. 10.1016/j.eswa.2022.117749
- Spatio-temporal evolution of ground motion intensity caused by reservoir-induced seismicity at the Pertusillo artificial lake (southern Italy) M. Picozzi et al. 10.3389/feart.2022.1048196
- Analysis of the 2016–2018 fluid-injection induced seismicity in the High Agri Valley (Southern Italy) from improved detections using template matching T. Stabile et al. 10.1038/s41598-021-00047-6
- Soil-building resonance effect in the urban area of Villa d’Agri (Southern Italy) G. Gangone et al. 10.1007/s10518-023-01644-8
- The Statistical Fingerprint of Fluid-Injection Operations on Microseismic Activity at the Val d’Agri Oil Field (Southern Italy) T. Stabile & L. Telesca 10.3390/en16165877
10 citations as recorded by crossref.
- Semi-automated template matching and machine-learning based analysis of the August 2020 Castelsaraceno microearthquake sequence (southern Italy) S. Panebianco et al. 10.1080/19475705.2023.2207715
- Characterizing Seismogenic Fault Structures of the Lake Pertusillo Reservoir Induced Seismicity (Southern Italy) Using a Relocated Template‐Matching Catalog L. Valoroso et al. 10.1029/2022JB025879
- High-density seismic network for monitoring Alentejo region (Portugal) and Mitidja basin region (Algeria) M. Manso et al. 10.1007/s12517-020-05972-w
- Multiscale structural analyses of Mesozoic shallow-water carbonates, Viggiano Mt., southern Italy I. Abdallah et al. 10.1016/j.jsg.2023.104978
- New insights into the High Agri Valley deep structure revealed by magnetotelluric imaging and seismic tomography (Southern Apennine, Italy) M. Balasco et al. 10.1016/j.tecto.2021.228817
- Small-layered Feed-Forward and Convolutional neural networks for efficient P wave earthquake detection S. León et al. 10.1016/j.eswa.2022.117749
- Spatio-temporal evolution of ground motion intensity caused by reservoir-induced seismicity at the Pertusillo artificial lake (southern Italy) M. Picozzi et al. 10.3389/feart.2022.1048196
- Analysis of the 2016–2018 fluid-injection induced seismicity in the High Agri Valley (Southern Italy) from improved detections using template matching T. Stabile et al. 10.1038/s41598-021-00047-6
- Soil-building resonance effect in the urban area of Villa d’Agri (Southern Italy) G. Gangone et al. 10.1007/s10518-023-01644-8
- The Statistical Fingerprint of Fluid-Injection Operations on Microseismic Activity at the Val d’Agri Oil Field (Southern Italy) T. Stabile & L. Telesca 10.3390/en16165877
Latest update: 25 Apr 2024
Short summary
This paper presents data collected by a seismic network developed in the framework of the INSIEME project aimed to study induced seismicity processes. The network is composed of eight stations deployed around two clusters of induced microearthquakes in the High Agri Valley (southern Italy). The solutions for reducing the background noise level are presented and the quality of acquired data is discussed. Such open-access data can be used by the scientific community for different applications.
This paper presents data collected by a seismic network developed in the framework of the...
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