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Part 1: Document Description
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Citation |
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Title: |
Hidden-State Modelling of a Cross-section of Geoelectric Time Series Data Can Provide Reliable Intermediate-term Probabilistic Earthquake Forecasting in Taiwan |
Identification Number: |
doi:10.21979/N9/JSUTCD |
Distributor: |
DR-NTU (Data) |
Date of Distribution: |
2021-06-01 |
Version: |
1 |
Bibliographic Citation: |
Cheong, Siew Ann, 2021, "Hidden-State Modelling of a Cross-section of Geoelectric Time Series Data Can Provide Reliable Intermediate-term Probabilistic Earthquake Forecasting in Taiwan", https://doi.org/10.21979/N9/JSUTCD, DR-NTU (Data), V1 |
Citation |
|
Title: |
Hidden-State Modelling of a Cross-section of Geoelectric Time Series Data Can Provide Reliable Intermediate-term Probabilistic Earthquake Forecasting in Taiwan |
Identification Number: |
doi:10.21979/N9/JSUTCD |
Authoring Entity: |
Cheong, Siew Ann (Nanyang Technological University) |
Software used in Production: |
Python |
Grant Number: |
MOST 110-2634-F-008-008 |
Grant Number: |
MOST 110-2634-F-008-008 |
Distributor: |
DR-NTU (Data) |
Access Authority: |
Cheong, Siew Ann |
Depositor: |
Cheong, Siew Ann |
Date of Deposit: |
2021-06-01 |
Holdings Information: |
https://doi.org/10.21979/N9/JSUTCD |
Study Scope |
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Keywords: |
Earth and Environmental Sciences, Earth and Environmental Sciences, GEMS, Geoelectric field, HMM |
Abstract: |
(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. |
Kind of Data: |
Pickled Python files |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.5194/nhess-2021-378 |
Bibliographic Citation: |
Wen, H., Chen, H. J., Chen, C. C., Ciamarra, M. P., & Cheong, S. A. (2022). Hidden-State Modelling of a Cross-section of Geoelectric Time Series Data Can Provide Reliable Intermediate-term Probabilistic Earthquake Forecasting in Taiwan. Natural Hazards and Earth System Sciences Discussions, 2022, 1-35. |
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