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SEISMOLOGY

Data mining for seismic slip

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Seismic data during the time interval between larger earthquakes could contain information about fault displacements and potential for future failure, suggest analyses of data from laboratory and real-world slow-slip earthquakes using machine-learning techniques.

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Fig. 1: Old bridge supports in Vancouver, Canada, upgraded in preparation for a potentially catastrophic seismic event.

Roy LANGSTAFF / Alamy Stock Photo

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Correspondence to Kenneth C. Creager.

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Creager, K.C. Data mining for seismic slip. Nature Geosci 12, 5–6 (2019). https://doi.org/10.1038/s41561-018-0281-7

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