340 research outputs found
La Costituzione ... aperta a tutti, IV edizione
No full textNuova edizione, accresciuta e integrata, del volume apparso in prima edizione nel 2019
La Costituzione aperta a tutti. Lessico del nostro vivere civile
No full textOpera corale concepita per “parole chiave”, rivolta a diffondere la conoscenza della Costituzione in tutti quei luoghi ove se ne avverta la necessità, a partire dalle scuole
Earthquake catalogs for: Improving detection of micro-earthquakes in the Val d'Agri region (Southern Italy) using Deep Learning algorithms
No full textThis repository contains two earthquake catalogs (dubbed PRN and QS) obtained from the application of two deep-learning-based detection workflows to continuous seismic data recorded in the Val d’Agri region (Southern Italy). These catalogs have been generated using the PhaseNet neural network for seismic phase picking (Zhu & Beroza, 2019). The workflows used to generate the catalogs are described in detail in: Caredda et al. (2025). These datasets offer a more comprehensive representation of local seismicity compared to manually generated, STA/LTA-based catalogs (available in the open periodic monitoring reports accessible at: https://cms.ingv.it/sperimentazioni/val-d-agri [last accessed on 18/09/2025]).
The datasets include event origin times, locations, magnitudes, location uncertainties, and phase arrival times with corresponding PhaseNet “pick probabilities” (for the PRN catalog), providing an enriched representation of local seismicity compared to conventional STA/LTA-based catalogs.
These catalogs can serve as valuable resources for further research on seismicity, induced processes, Earth structure, and seismic hazard assessment in the Val d’Agri region.
References:
Caredda, E., M.P. Isken, S. Cesca, M. Errico, G. Zerbinato, and A. Morelli (2025) Improving detection of micro-earthquakes in the Val d’Agri region (Southern Italy) using deep learning algorithms, Seismica (in press).
Zhu, W., and Beroza, G. C. (2018). PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method. Geophysical Journal International, 216(1), 261–273. https://doi.org/10.1093/gji/ggy42
Social Housing e risparmio energetico: AFTER, un progetto di coinvolgimento degli inquilini
No full text
Variabili neurofisiologiche e neuropsicologiche nell'ECT: dati attuali e prospettive di ricerca
No full text
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