Dataset title: Earthquake catalogue for the Val d'Agri area (southern Italy), Centre for the Monitoring of Subsurface Activities (CMS).
Brief description: Microseismic catalogue (2020-03-01 - 2022-03-15) from an integrated, real-time seismic network dedicated to the 
monitoring of geo-resources exploitation in southern Italy.
Authors: Errico M.(1), Anderlini L.(1), Anselmi M.(2), Berbellini A.(1), Bidini C.(3), Borghi A.(1), Braun T.(3), Caciagli M.(1), 
Carannante S.(5), Cavaliere A.(2), D’Alema E.(5), D’Ambrosio M.(4), Danesi S.(1), Famiani D.(3), Garcia A.(1), Marino S.(1), 
Molinari I.(1), Morelli A.(1), Passarelli L.(1), Perfetti P.(1), Pezzo G.(2), Pintori F.(1), Saccorotti G.(4,) Salimbeni S.(1), 
Vassallo M.(3), Zaccarelli L.(1), Zerbinato G.(1).
Affiliations: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
(1) Istituto Nazionale di Geofisica e Vulcanologia (INGV), sezione di Bologna.
(2) Istituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Nazionale Terremoti, Roma.
(3) Istituto Nazionale di Geofisica e Vulcanologia (INGV), sezione di Roma1.
(4) Istituto Nazionale di Geofisica e Vulcanologia (INGV), sezione di Pisa.
(5) Istituto Nazionale di Geofisica e Vulcanologia (INGV), sezione di Milano.

Description:
This catalogue is the result of real-time seismic monitoring conducted between 2020 and 2022 through a local-scale, integrated seismographic 
network. The network consists of 59 real-time stations located in the central sector of the Basilicata region, southern Italy. 
Data acquisition, archiving, and analysis is performed via SeisComP software by Gempa GmbH (https://www.seiscomp.de/). Seismic data from both 
public and private local networks are collected and analysed by the Italian National Institute of Geophysics and Volcanology (INGV), Centre 
for Monitoring Subsurface activities (CMS). 

Method description:
- Earthquake detection is performed in real time through an automatic procedure based on the standard STA/LTA (Short Term Average/Long Term 
  Average) triggering algorithm.
- Initial automatic hypocentral solutions are then calculated, and subsequently revised/refined by an expert operator. 
- The Identified time pickings are associated using the DBSCAN clustering algorithm (Ester et al., 1996). 
- Event locations are determined using the Hypo71 locator (Lee and Lahr, 1972) and the velocity model derived from Improta et al., (2017).
- Local magnitudes are calculated following the Bakun and Joyner (1984) relationship.

Files :
1) catalogue_2020_2022_VdA.csv (comma-separated) catalogue file contains: eventID, Date, Latitude, Err_Lat, Longitude, Err_Lon, Depth, 
   Err_Depth, Depth_Assigned, RMS, ML, Err_ML, Phases_Number, Stations_Number, GAP.
Where: 
    eventID: Unique identifier for the seismic event.
    Date: Date and time of the origin (YYYY-MM-DD HH:MM:SS).
    Latitude, Err_Lat, Longitude, Err_Lon, Depth, Err_Depth: Hypocentral coordinates and
    errors.
    Depth_Assigned: Flag (NaN or ”operator assigned” if fixed).
    RMS: Root Mean Square of travel-time residuals.
    ML, Err_ML: Local Magnitude and error.
    Phases_Number: Number of phases used for the location.
    Stations_Number: Number of stations that have at least one phase.
    GAP: Maximum azimuthal gap.

2) QuakeML (Schorlemmer et al., 2011) archive which includes preferred solution of event parameters, event ID, spatial and temporal 
   coordinates of the hypocenter (latitude, longitude, depth, and origin time), associated P and S phase picks, amplitudes, and station 
   magnitudes associated for each event.

3) stations.txt stations file containing geographic coordinates, elevation, and network affiliation of the monitoring stations (STATION, 
   LATITUDE, LONGITUDE, ELEVATION and NETWORK), where latitude and longitude are in decimal degrees (deg), elevation in m a.s.l., and network 
   codes are those assigned by the International Federation of Digital Seismograph Networks (FDSN):
    VA = Monitoring seismic network of the ‘Val d’Agri’ oil field
    IX = Irpinia Seismic Network
    GE = GEOFON
    VD = High Agri Valley geophysical Observatory
    TP = Monitoring seismic network of the ‘Gorgoglione’ oil field
    IV = Italian National Seismic Network 

4) fileformat.txt file providing formatting details for the included files

References:
Bakun, W. H. and W. B. Joyner (1984). The ML Scale in Central California. Bull. Seism. Soc.
    of Am., 75, 5, 1827‑1843.
Ester M., H.-P. Kriegel, J. Sander and X. Xu (1996). A density-based algorithm for
    discovering clusters in large spatial databases with noise. In: Simoudis, E., J. Han, U. 
    Fayyad eds., Proceedings of the Second International Conference on Knowledge
    Discovery and Data Mining (KDD-96), AAAI Press. pp. 226‑231. ISBN 1-57735-004-9.
Improta, L., S. Bagh, P. De Gori, L. Valoroso et al. (2017). Reservoir structure and 
    wastewater-induced seismicity at the Val d’Agri Oilfield (Italy) shown by three-dimensional 
    V p and V p = V s local earthquake tomography, J. Geophys. Res., 122, 11, 9050‑9082, 
    doi:10.1002/2017JB014725.
Lee, W. H. K. and J. C. Lahr (1972). HYPO71: A computer program for determining 
    hypocenter, magnitude, and first motion pattern of local earthquakes, U.S. Geol. Surv. 
    Open-File Rept., 72-224, doi:10.3133/ofr72224.
Schorlemmer, D., Euchner, F., Kästli, P., Saul, J., & QuakeML Working Group (2011). 
    QuakeML: status of the XML-based seismological data exchange format. Annals of 
    Geophysics, 54(1), 59-65. https://doi.org/10.4401/ag-4874.


