Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-519-2020
https://doi.org/10.5194/essd-12-519-2020
Data description paper
 | 
04 Mar 2020
Data description paper |  | 04 Mar 2020

The INSIEME seismic network: a research infrastructure for studying induced seismicity in the High Agri Valley (southern Italy)

Tony Alfredo Stabile, Vincenzo Serlenga, Claudio Satriano, Marco Romanelli, Erwan Gueguen, Maria Rosaria Gallipoli, Ermann Ripepi, Jean-Marie Saurel, Serena Panebianco, Jessica Bellanova, and Enrico Priolo

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Cited articles

Beauducel, F., Lafon, D., Béguin, X., Saurel, J.-M., Bosson, A., Mallarino, D., Boissier, P., Brunet, C., Lemarchand, A., Anténor-Habazac, C., Nercessian, A., and Fahmi, A. A.: WebObs: The Volcano Observatories Missing Link Between Research and Real-Time Monitoring, Front. Earth Sci., 8, 48, https://doi.org/10.3389/feart.2020.00048, 2020. 
Bensen, G. D., Ritzwoller, M. H., Barmin, M. P., Levshin, A. L., Lin, F., Moschetti, M. P., Shapiro, N. M., and Yang, Y.: Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements, Geophys. J. Int., 169, 1239–1260, https://doi.org/10.1111/j.1365-246X.2007.03374.x, 2007. 
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Burrato, P. and Valensise, G.: Rise and Fall of a Hypothesized Seismic Gap: Source Complexity in the Mw 7.0 16 December 1857 Southern Italy Earthquake, B. Seismol. Soc. Am., 98, 140–144, https://doi.org/10.1785/0120070094, 2008. 
Clarke, D., Zaccarelli, L., Shapiro, N. M., and F. Brenguier, F.: Assessment of resolution and accuracy of the Moving Window Cross Spectral technique for monitoring crustal temporal variations using ambient seismic noise, Geophys. J. Int., 186, 867–882, https://doi.org/10.1111/j.1365-246X.2011.05074.x, 2011. 
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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.
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