This PDF file includes:

• Continuous data time gaps
• Detection on synthetic data
• Reference code: Autocorrelation
• Near-repeat exclusion of similar pairs
• Postprocessing and thresholding
• Fig. S1. Illustration of comparison between many-to-many search methods for similar pairs of seismic events.
• Fig. S2. Twenty-second catalog earthquake waveforms, ordered by event time in 1 week of continuous data from CCOB.EHN (bandpass, 4 to 10 Hz).
• Fig. S3. Catalog events missed by FAST, detected by autocorrelation.
• Fig. S4. Twenty-second new (uncataloged) earthquake waveforms detected by FAST, ordered by event time in 1 week of continuous data from CCOB.EHN (bandpass, 4 to 10 Hz); FAST found a total of 68 new events.
• Fig. S5. FAST detection errors.
• Fig. S6. Example of uncataloged earthquake detected by FAST, missed by autocorrelation.
• Fig. S7. Histogram of similar fingerprint pairs output from FAST.
• Fig. S8. Schematic illustration of FAST output as a similarity matrix for one channel of continuous seismic data.
• Fig. S9. CC and Jaccard similarity for two similar earthquakes.
• Fig. S10. Theoretical probability of a successful search as a function of Jaccard similarity.
• Fig. S11. Synthetic data generation.
• Fig. S12. Hypothetical precision-recall curves from three different algorithms.
• Fig. S13. Synthetic test results for three different scaling factors c: 0.05 (top), 0.03 (center), 0.01 (bottom), with snr values provided.
• Table S1. Autocorrelation input parameters.
• Table S2. NCSN catalog events.
• Table S3. Scaling test days.
• Table S4. Example of near-duplicate fingerprint pairs detected by FAST, which represent the same pair with slight time offsets.
• Reference (44)

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