Hidden-State Modelling of a Cross-section of Geoelectric Time Series Data Can Provide Reliable Intermediate-term Probabilistic Earthquake Forecasting in Taiwan
收藏DataCite Commons2025-06-16 更新2025-04-16 收录
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https://researchdata.ntu.edu.sg/citation?persistentId=doi:10.21979/N9/JSUTCD
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资源简介:
(C, V, S, K) index time series data generated using 0.5-Hz GEMS time series data from Taiwan. In this data set, C is a modified autocorrelation function, V is the variance, S the skewness, and K the kurtosis of the GEMS geo-electric field time series.
提供机构:
DR-NTU (Data)
创建时间:
2021-06-01



