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Data mining for seismic slip

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).

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