Curated Regional Earthquake Waveforms (CREW) Dataset

Albert Leonardo Aguilar Suarez, Greg Beroza
{"title":"Curated Regional Earthquake Waveforms (CREW) Dataset","authors":"Albert Leonardo Aguilar Suarez, Greg Beroza","doi":"10.26443/seismica.v3i1.1049","DOIUrl":null,"url":null,"abstract":"We have assembled CREW, the Curated Regional Earthquake Waveforms Dataset, which is a dataset of earthquake arrivals recorded at local and regional distances. CREW was assembled from millions of waveforms with quality control through semi-supervised learning. CREW includes 2.3 million waveforms that have global coverage. Each waveform consists of a 5 minute three component seismogram with labels for both a P and S arrival. CREW provides a high quality labelled waveform data set that can be used to develop and test machine learning models for the analysis of earthquakes recorded at regional distances.","PeriodicalId":498743,"journal":{"name":"Seismica","volume":"11 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seismica","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.26443/seismica.v3i1.1049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We have assembled CREW, the Curated Regional Earthquake Waveforms Dataset, which is a dataset of earthquake arrivals recorded at local and regional distances. CREW was assembled from millions of waveforms with quality control through semi-supervised learning. CREW includes 2.3 million waveforms that have global coverage. Each waveform consists of a 5 minute three component seismogram with labels for both a P and S arrival. CREW provides a high quality labelled waveform data set that can be used to develop and test machine learning models for the analysis of earthquakes recorded at regional distances.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
区域地震波形编辑数据集 (CREW)
我们建立了 CREW,即 "区域地震波形数据集",这是一个记录地方和区域距离的地震到达数据集。CREW 是通过半监督学习进行质量控制,从数百万个波形中整理出来的。CREW 包含 230 万个覆盖全球的波形。每个波形由 5 分钟的三分量地震波图组成,并带有 P 和 S 波到达的标签。CREW 提供了高质量的标签波形数据集,可用于开发和测试机器学习模型,以分析区域距离记录的地震。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Investigation of suspected Holocene fault scarp near Montréal, Québec: The first paleoseismic trench in eastern Canada Statistical distribution of static stress resolved onto geometrically-rough faults An exploration of potentially reversible controls on millennial-scale variations in the slip rate of seismogenic faults: Linking structural observations with variable earthquake recurrence patterns Earthquake source inversion by integrated fiber-optic sensing Curated Regional Earthquake Waveforms (CREW) Dataset
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1