{"title":"区域地震波形编辑数据集 (CREW)","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":"{\"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}","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
摘要
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。
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.
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