1,721,059 research outputs found

    Replication Data for: Seismic Azimuthal Anisotropy of New Zealand revealed by Adjoint-state Traveltime Tomography

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    A 3D azimuthally anisotropic model that encompasses both the North and South Islands of New Zealand to a depth of 40 km, using over 1 million local P-wave arrival times and a newly developed adjoint-state traveltime tomography technique

    Replication Data for: Crustal Structure and Seismogenic Environment for the January 2025 Mw 7.1 Southern Tibet (Dingri) Earthquake

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    On January 7, 2025, a Mw 7.1 normal-faulting earthquake occurred in the Dinggye rift zone, southern Tibetan plateau. In this study, we present high-resolution crustal S-wave isotropic and P-wave azimuthally anisotropic velocity models around the source region of this earthquake, constructed using novel adjoint-state traveltime tomography techniques

    Replication Data for: Elongated magma plumbing system beneath the Coso volcanic field, California, constrained by seismic reflection tomography

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    Waveforms and arrival times of high-quality PmP phases picked in the Coso Volcanic region

    Replication Data for: Complex Patterns of Past and Ongoing Crustal Deformation in Southern California Revealed by Seismic Azimuthal Anisotropy

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    Azimuthally anisotropic P-wave velocity model of the crustal structure beneath Southern California revealed by Adjoint-state Traveltime Tomograph

    Adjoint-state traveltime tomography software package (Training version)

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    The source code for adjoint-state traveltime tomography (ATT). This simple version is mainly for training purpose. The details of the algorithm can be found at Tong, P., 2021. Adjoint‐state traveltime tomography: Eikonal equation‐based methods and application to the Anza area in southern California, Journal of Geophysical Research: Solid Earth, 126 (5), e2021JB021818. You can also access https://github.com/MIGG-NTU/ATT_training/releases for more details

    Replication Data for: Crustal Deformation in the Sierra Nevada and Walker Lane Region Inferred From P-Wave Azimuthal Anisotropy

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    A new depth-dependent azimuthally anisotropic P-wave velocity (Vp) model of the Sierra Nevada and Walker Lane regio

    Replication Data for: Deep neural networks for creating reliable PmP database with a case study in southern California

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    Southern California PmP phase data expanded by a deep learning technique PmPNet

    Ray-Based Body Wave Tomography

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    Large Necessary Dependencies
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