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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset for "CANVAS: An adjoint waveform tomography model of California and Nevada"

Authors: Doody, Claire;

Dataset for "CANVAS: An adjoint waveform tomography model of California and Nevada"

Abstract

This dataset includes the model files for the California-Nevada Adjoint Simulations (CANVAS) adjoint waveform tomography model. The model is provided in NetCDF format. The HDF5 file provided is for importing the model into Salvus (Afanasiev et al., 2019; mondaic.com) An EventXML file is also provided with information on the events used to calculate the model. Information on the construction of the model can be found in the accompanying publication: Doody, C., Rodgers, A., Afanasiev, M., Boehm, C., Krischer, L., Chiang, A., & Simmons, N. (2023). CANVAS: An adjoint waveform tomography model of California and Nevada. Journal of Geophysical Research: Solid Earth, 128(12). https://doi.org/10.1029/2023JB027583 This effort was support by Lawrence Livermore National Laboratory's Laboratory Directed Research and Development project 20-ERD-008. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-MI-856789

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average