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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 |
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Identification Number: |
doi:10.21979/N9/JSUTCD |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2021-06-01 |
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Version: |
1 |
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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 |
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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 |
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Identification Number: |
doi:10.21979/N9/JSUTCD |
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Authoring Entity: |
Cheong, Siew Ann (Nanyang Technological University) |
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Software used in Production: |
Python |
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Grant Number: |
MOST 110-2634-F-008-008 |
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Grant Number: |
MOST 110-2634-F-008-008 |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Cheong, Siew Ann |
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Depositor: |
Cheong, Siew Ann |
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Date of Deposit: |
2021-06-01 |
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Holdings Information: |
https://doi.org/10.21979/N9/JSUTCD |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, GEMS, Geoelectric field, HMM |
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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. |
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Kind of Data: |
Pickled Python files |
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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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Title: |
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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Identification Number: |
10.5194/nhess-2021-378 |
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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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Citation |
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Title: |
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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Identification Number: |
10356/199775 |
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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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