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ZENODO
Dataset . 2023
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 . 2023
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 . 2023
License: CC BY
Data sources: ZENODO
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Claim

Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them?

Research datakeyboard_double_arrow_right Dataset 14 Mar 2023Publisher:Zenodo
Authors: Xu, Shan; Chen, Chaojian; Kruglyakov, Mikhail; Kuvshinov, Alexey; Rigaud, Rafael; Hu, Xiangyun;

doi: 10.5281/zenodo.7734622 , 10.5281/zenodo.7734623

Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them?

Abstract

{"references": ["Shan Xu and Chaojian Chen et al. (2023) Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them? [Dataset] https://doi.org/10.5281/zenodo.7734623"]}

This dataset contains the observed tipper data and 3-D EM modeling results associated to the manuscript: Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them?

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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.
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This indicator 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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