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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Claim

Dataset for "Surf-Net: A deep-learning-based method for extracting surface-wave dispersion curves"

Research datakeyboard_double_arrow_right Dataset 18 Nov 2022Publisher:Zenodo
Authors: Jiang Yiran; Wen Jingchong; Tian Yuan; Wu Mengyu; Ning Jieyuan; Shi Yongxiang; Wu Han; +3 Authors

doi: 10.5281/zenodo.7335286 , 10.5281/zenodo.7335287

Dataset for "Surf-Net: A deep-learning-based method for extracting surface-wave dispersion curves"

Abstract

dataset for the article "Surf-Net: A deep-learning-based method for extracting surface-wave dispersion curves" corrLSynV8.h5: the generated synthetic waveform dispersion.tar : the dispersion curves set for the generated synthetic waveform; the dispersion curves extracted in Northeast China; the dispersion curves extracted in Southeast China

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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!
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