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Article . 2022
License: CC BY
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ZENODO
Article . 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
Article . 2022
License: CC BY
Data sources: ZENODO
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Extracting profiles big data from topographic data

descriptionPublicationkeyboard_double_arrow_right Article 23 Jun 2022Publisher:Zenodo
Authors: Shi,Xinyu;

doi: 10.5281/zenodo.6705205 , 10.5281/zenodo.6705206

Extracting profiles big data from topographic data

Abstract

code.py is used to extract profiles big data from topographic data. The second file is used to calculated the similarity between the topographic profile sequence and the water depth profile. The third file shows all the topography profiles. The last file shows the similarity ranking results.

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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!
views
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