INSTANCE Events Metadata, version 1

This dataset collects seismic event waveforms metadata and is part of INSTANCE. INSTANCE is a data collection of more than 1.3 million seismic waveforms originating from a selection of about 54,000 earthquakes occurred since 2005 in Italy and surrounding regions and seismic noise recordings randomly extracted from event free time windows of the continuous waveforms archive. The purpose is to provide reference datasets useful to develop and test seismic data processing routines based on machine learning and deep learning frameworks. The primary source of this information is ISIDe (Italian Seismological Instrumental and Parametric Data-Base) for earthquakes and the Italian node of EIDA (http://eida.ingv.it) for seismic data. All the waveforms have been sized to a 120 s window, preprocessed and resampled at 100 Hz. For each trace we provide a large number of parameters as metadata, either derived from event information or computed from trace data. Associated metadata allow for the identification of the source, the station, the path travelled by seismic waves and assessment of the trace quality. The total size of the data collection is about 330 GB. Waveforms files are available either in counts or ground motion units in hdf5 format to facilitate fast access from commonly used machine learning frameworks.

本数据集收录地震事件波形元数据，隶属于INSTANCE项目。INSTANCE是一个包含超130万条地震波形的数据集，其中约5.4万条波形源自2005年以来意大利及周边区域经筛选的约5.4万次地震，剩余的地震噪声记录则从连续波形档案库的无事件时段窗口中随机抽取得到。本数据集旨在为基于机器学习与深度学习框架开发、测试地震数据处理流程提供参考数据集。本数据集的主要数据来源为：地震相关信息取自ISIDe（意大利地震仪器与参数数据库，Italian Seismological Instrumental and Parametric Data-Base），地震波形数据则取自EIDA的意大利节点（http://eida.ingv.it）。所有波形均被截取为120秒时长的窗口，且已完成预处理并以100Hz的采样率进行重采样。针对每一条地震道，我们提供了大量元数据参数，这些参数要么源自地震事件信息，要么通过轨迹数据计算得到。配套元数据可用于识别震源、台站、地震波传播路径，并评估波形轨迹的质量。该数据集总容量约为330GB。波形文件以hdf5格式存储，可选择以计数值或地面运动单位两种形式提供，便于主流机器学习框架快速调用。

搜集汇总

背景与挑战

背景概述

INSTANCE Events Metadata, version 1是一个包含地震波形数据和相关元数据的机器学习分析数据集，提供了54,008次地震的1,159,249个3通道波形和132,330个3通道噪声波形，以及每个波形的115个元数据信息。数据集支持多种下载格式，包括csv和hdf5文件，适用于地震学和机器学习研究。