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Issues

ISSN 0895-0695
EISSN 1938-2057

OPINION

Seismological Research Letters February 13, 2019, Vol.90, 463-466. doi:https://doi.org/10.1785/0220190005
Seismological Research Letters January 09, 2019, Vol.90, 467-472. doi:https://doi.org/10.1785/0220180299

SSA NEWS AND NOTES

Seismological Research Letters February 13, 2019, Vol.90, 473-474. doi:https://doi.org/10.1785/0220190016

IN MEMORIAM

Seismological Research Letters February 13, 2019, Vol.90, 475-476. doi:https://doi.org/10.1785/0220190008

FOCUS SECTION

Seismological Research Letters February 13, 2019, Vol.90, 477-480. doi:https://doi.org/10.1785/0220190018
Seismological Research Letters January 16, 2019, Vol.90, 481-490. doi:https://doi.org/10.1785/0220180308
Seismological Research Letters January 16, 2019, Vol.90, 491-502. doi:https://doi.org/10.1785/0220180312
Seismological Research Letters January 09, 2019, Vol.90, 503-509. doi:https://doi.org/10.1785/0220180326
Seismological Research Letters December 19, 2018, Vol.90, 510-516. doi:https://doi.org/10.1785/0220180320
Seismological Research Letters February 13, 2019, Vol.90, 517-529. doi:https://doi.org/10.1785/0220180311
Seismological Research Letters January 03, 2019, Vol.90, 530-538. doi:https://doi.org/10.1785/0220180279
Seismological Research Letters December 12, 2018, Vol.90, 539-545. doi:https://doi.org/10.1785/0220180291
Seismological Research Letters December 05, 2018, Vol.90, 546-552. doi:https://doi.org/10.1785/0220180309
Seismological Research Letters December 12, 2018, Vol.90, 553-562. doi:https://doi.org/10.1785/0220180298
Seismological Research Letters January 30, 2019, Vol.90, 563-572. doi:https://doi.org/10.1785/0220180315
Seismological Research Letters December 05, 2018, Vol.90, 573-580. doi:https://doi.org/10.1785/0220180302
Seismological Research Letters January 03, 2019, Vol.90, 581-590. doi:https://doi.org/10.1785/0220180334
Seismological Research Letters February 13, 2019, Vol.90, 591-603. doi:https://doi.org/10.1785/0220180306
Seismological Research Letters December 27, 2018, Vol.90, 604-613. doi:https://doi.org/10.1785/0220180218
Seismological Research Letters January 09, 2019, Vol.90, 614-622. doi:https://doi.org/10.1785/0220180296
Seismological Research Letters February 13, 2019, Vol.90, 623-632. doi:https://doi.org/10.1785/0220180282

ARTICLES

Seismological Research Letters January 03, 2019, Vol.90, 633-641. doi:https://doi.org/10.1785/0220180288
Seismological Research Letters December 27, 2018, Vol.90, 642-648. doi:https://doi.org/10.1785/0220180141
Seismological Research Letters December 27, 2018, Vol.90, 649-658. doi:https://doi.org/10.1785/0220180211
Seismological Research Letters December 27, 2018, Vol.90, 659-671. doi:https://doi.org/10.1785/0220180169
Seismological Research Letters December 27, 2018, Vol.90, 672-682. doi:https://doi.org/10.1785/0220180198
Seismological Research Letters January 30, 2019, Vol.90, 683-691. doi:https://doi.org/10.1785/0220180327
Seismological Research Letters December 27, 2018, Vol.90, 692-698. doi:https://doi.org/10.1785/0220180252
Seismological Research Letters January 30, 2019, Vol.90, 699-707. doi:https://doi.org/10.1785/0220180331
Seismological Research Letters January 30, 2019, Vol.90, 708-715. doi:https://doi.org/10.1785/0220180260
Seismological Research Letters December 27, 2018, Vol.90, 716-726. doi:https://doi.org/10.1785/0220180197
Seismological Research Letters January 16, 2019, Vol.90, 727-743. doi:https://doi.org/10.1785/0220180192
Seismological Research Letters January 03, 2019, Vol.90, 744-753. doi:https://doi.org/10.1785/0220180273

ELECTRONIC SEISMOLOGIST

Seismological Research Letters February 13, 2019, Vol.90, 754-764. doi:https://doi.org/10.1785/0220180145

HISTORICAL SEISMOLOGIST

Seismological Research Letters December 27, 2018, Vol.90, 765-773. doi:https://doi.org/10.1785/0220180267
Seismological Research Letters January 23, 2019, Vol.90, 774-783. doi:https://doi.org/10.1785/0220180355

EDUQUAKES

Seismological Research Letters December 27, 2018, Vol.90, 784-789. doi:https://doi.org/10.1785/0220180216

MEETING CALENDAR

Seismological Research Letters February 13, 2019, Vol.90, 790. doi:https://doi.org/10.1785/0220190023
  • Cover Image

    Cover Image

    issue cover

    Front: Machine learning (ML) is a collection of algorithms and statistical models that enable computers to extract relevant patterns and information from large datasets. Seismologists have usedML algorithms for decades to analyze seismic signals, but in just the past few years research activity aboutML applications in seismology has surged, driven by the increasing size of seismic datasets, improvements in computational power, new algorithms and architectures (e.g., deep neural networks), and the availability of easy-to-use open-source ML frameworks. In this issue of SRL, the Focus Section on Machine Learning in Seismology presents 16 original articles covering a range of ML applications. This illustration, which is based on figures in Nakano et al. (this issue), shows an example of seismic data flow and architecture for an ML neural network application for the study of tectonic tremor.

    Back: When the Mw 7.8 San Francisco earthquake struck on 18 April 1906, a narrow-gauge locomotive and train that had pulled into a siding to refuel at Point Reyes Station toppled due to ground motion caused by the earthquake. This photo shows two people and a canine at the site of the upset locomotive, with Point Reyes Station and its damaged buildings in the distance (U.S. Geological Survey Photographic Library). Veeraraghavan et al. (this issue) mathematically modeled the tipping of the train to calculate a lower limit on the earthquake’s ground motion at the site. Such analyses provide important additional data points for scientists who are working to anticipate the ground motions that will result from future large earthquakes.

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