Data Files for Community Seismic Network (CSN) Ground Motion Study

The Community Seismic Network (CSN) is a low-cost strong-motion network deployed at much higher density than traditional seismic networks. We performed semi-automated, component-specific data processing with the aim of optimizing usable bandwidth following procedures consistent with Next Generation Attenuation (NGA) project protocols for 29 earthquakes in Southern California for all CSN and non-CSN stations that recorded each event. The present dataset includes computed intensity metrics including peak velocity (PGV) and acceleration (PGA), 5% damped spectral accelerations (PSA), effective amplitude spectra (EAS) (Kottke et al. 2021), cumulative absolute velocity (CAV), thresholded cumulative absolute velocity (CAV5), Arias intensity (IA), and times to achieve every 5th percentile of the maximum Arias intensity (used to compute significant durations); metadata related to source, path, and site conditions; intensity metrics are computed for the as-recorded components (H1, H2, and V) and for the minimum, median, and maximum combined horizontal components as defined by Boore (2010) (RotD0, RotD50, and RotD100, respectively). Note that the unprocessed time-series in their original raw format can be obtained from the CSN webpage (http://csn.caltech.edu/data) for the CSN data and the Incorporated Research Institutions for Seismology (IRIS; Trabant et al. 2012) for the non-CSN data. The processed time-series data can be obtained at https://gmdatabase.org. These data were utilized by Stewart et al. (2023) to examine the usability of ground motions recorded by the CSN.