A Flatfile for the KiK‐net Database Processed Using an Automated Protocol

Abstract

The Kiban‐Kyoshin network (KiK‐net) database is an important resource for ground motion (GM) studies. The processing of the KiK‐net records is a necessary first step to enable their use in engineering applications. In this manuscript we present a step‐by‐step automated protocol used to systematically process about 157,000 KiK‐net strong ground motion records. The automated protocol includes the selection of the corner frequency for high‐pass filtering. In addition, a comprehensive set of metadata was compiled for each record. As a part of the metadata collection, two algorithms were used to identify dependent and independent earthquakes. Earthquakes are also classified into active crustal or subduction type events; most of the GM records correspond to subduction type earthquakes. A flatfile with all the metadata and the spectral acceleration of the processed records is uploaded to NEEShub ( https://nees.org/resources/7849 , Dawood et al. 2014).