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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Claim

Near-field tsunami forecasting along the Cascadia subduction zone using rapid GNSS source models

Research datakeyboard_double_arrow_right Dataset 20 Feb 2020Publisher:Zenodo
Authors: Williamson, Amy; Melgar, Diego; Crowell, Brendan; Arcas, Diego; Melbourne, Timothy; Wei, Yong; Kwong, Kevin;

doi: 10.5281/zenodo.3677470 , 10.5281/zenodo.3677471

Near-field tsunami forecasting along the Cascadia subduction zone using rapid GNSS source models

Abstract

Data pertaining to the submitted work Near-field tsunami forecasting along the Cascadia subduction zone using rapid GNSS source model (2020) by Williamson et al. Specifically, the dataset includes (1) synthetic, generated GNSS waveforms for 1300 Cascadia rupture scenarios and (2) model outputs for every tested rapid earthquake characterization.

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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).
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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.
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