SDQ: a new tool for the evaluation of seismic-accelerometric data quality

This work introduces the Seismic Data Quality (SDQ) project, an open-source Python tool package designed to evaluate the performance of co-located accelerometric and velocimetric stations, assess data quality, and support technicians in the seismic surveillance room at the Rome headquarters. SDQ conducts these verifications through analyses of seismic events and continuous data streams. For earthquake data, SDQ compares ground motion parameters from co-located sensors, subsequently classifying waveforms into quality classes. Continuous data verification relies on ambient noise streams and quality metrics, such as percentage gap, data availability, root-mean-square, and power spectral density. The SDQ tool was tested using data from 200 stations of the National Institute of Geophysics and Volcanology (Italy), each with six channels, within the National Seismic Network, analysing over 15,000 waveforms from Italian earthquakes with local or moment magnitudes (ML and/or MW) ≥ 3.5 and hypocentral distances
(Ripo) ≤ 150 km, recorded from 2012 to 2023. Earthquake data and station metadata are sourced from the International Federation of Digital Seismograph Networks web services (https://terremoti.ingv.it/webservices_and_software). Continuous data analyses utilise daily miniSEED recordings from each station, classifying waveforms into quality categories based on various metrics. SDQ generates summary tables, images, and explanatory text files for both seismic events and continuous data. SDQ is available for download at https://gitlab.rm.ingv.it/EIDA/quality/sdq.