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Daniel T. Trugman
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Journal Article

Potency–Magnitude Scaling Relations and a Unified Earthquake Catalog for the Western United States

Daniel T. Trugman, Yehuda Ben‐Zion
Published: 24 September 2024
The Seismic Record (2024) 4 (3): 223–230.
DOI: https://doi.org/10.1785/0320240022
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A High‐Precision Earthquake Catalog for Nevada

Daniel T. Trugman
Published: 24 June 2024
Seismological Research Letters (2024)
DOI: https://doi.org/10.1785/0220240106
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Journal Article

Coherent Spatial Variations in the Productivity of Earthquake Sequences in California and Nevada

Daniel T. Trugman, Yehuda Ben‐Zion
Published: 20 November 2023
The Seismic Record (2023) 3 (4): 322–331.
DOI: https://doi.org/10.1785/0320230039
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Spectral Characteristics of Hydraulic Fracturing‐Induced Seismicity Can Distinguish between Activation of Faults and Fractures

Nadine Igonin, Daniel T. Trugman, Keyla Gonzalez, David W. Eaton
Published: 08 May 2023
Seismological Research Letters (2023) 94 (4): 1791–1806.
DOI: https://doi.org/10.1785/0220230024
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Fault Roughness at Seismogenic Depths and Links to Earthquake Behavior

Elizabeth S. Cochran, Morgan T. Page, Nicholas J. van der Elst, Zachary E. Ross, Daniel T. Trugman
Published: 17 March 2023
The Seismic Record (2023) 3 (1): 37–47.
DOI: https://doi.org/10.1785/0320220043
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A Real‐Time and Data‐Driven Ground‐Motion Prediction Framework for Earthquake Early Warning

Avigyan Chatterjee, Nadine Igonin, Daniel T. Trugman
Published: 20 December 2022
Bulletin of the Seismological Society of America (2023) 113 (2): 676–689.
DOI: https://doi.org/10.1785/0120220180
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GrowClust3D.jl: A Julia Package for the Relative Relocation of Earthquake Hypocenters Using 3D Velocity Models

Daniel T. Trugman, Calum J. Chamberlain, Alexandros Savvaidis, Anthony Lomax
Published: 07 November 2022
Seismological Research Letters (2023) 94 (1): 443–456.
DOI: https://doi.org/10.1785/0220220193
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Preface to the Focus Section on Big Data Problems in Seismology

Daniel T. Trugman, Lihua Fang, Jonathan Ajo‐Franklin, Avinash Nayak, Zefeng Li
Published: 28 July 2022
Seismological Research Letters (2022) 93 (5): 2423–2425.
DOI: https://doi.org/10.1785/0220220219
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Source Spectral Properties of Earthquakes in the Delaware Basin of West Texas

Daniel T. Trugman, Alexandros Savvaidis
Published: 10 March 2021
Seismological Research Letters (2021) 92 (4): 2477–2489.
DOI: https://doi.org/10.1785/0220200461
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Stress‐Drop and Source Scaling of the 2019 Ridgecrest, California, Earthquake Sequence

Daniel T. Trugman
Published: 26 May 2020
Bulletin of the Seismological Society of America (2020) 110 (4): 1859–1871.
DOI: https://doi.org/10.1785/0120200009
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Machine Learning in Seismology: Turning Data into Insights

Qingkai Kong, Daniel T. Trugman, Zachary E. Ross, Michael J. Bianco, Brendan J. Meade, Peter Gerstoft
Published: 14 November 2018
Seismological Research Letters (2019) 90 (1): 3–14.
DOI: https://doi.org/10.1785/0220180259
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Strong Correlation between Stress Drop and Peak Ground Acceleration for Recent M 1–4 Earthquakes in the San Francisco Bay Area

Daniel T. Trugman, Peter M. Shearer
Published: 06 March 2018
Bulletin of the Seismological Society of America (2018) 108 (2): 929–945.
DOI: https://doi.org/10.1785/0120170245
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GrowClust: A Hierarchical Clustering Algorithm for Relative Earthquake Relocation, with Application to the Spanish Springs and Sheldon, Nevada, Earthquake Sequences

Daniel T. Trugman, Peter M. Shearer
Published: 01 February 2017
Seismological Research Letters (2017) 88 (2A): 379–391.
DOI: https://doi.org/10.1785/0220160188
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A 2D Pseudodynamic Rupture Model Generator for Earthquakes on Geometrically Complex Faults

Daniel T. Trugman, Eric M. Dunham
Published: 21 January 2014
Bulletin of the Seismological Society of America (2014) 104 (1): 95–112.
DOI: https://doi.org/10.1785/0120130138
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