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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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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
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https://doi.org/10.5281/zenodo...
Dataset . 2023
License: CC BY
Data sources: Sygma
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Understanding cirrus clouds using explainable machine learning

Research datakeyboard_double_arrow_right Dataset 31 Jan 2023Publisher:ZenodoFunded by:EC | iMIRACLI
Authors: Jeggle, Kai; Neubauer, David; Camps-Valls, Gustau; Lohmann, Ulrike;

doi: 10.5281/zenodo.7965381 , 10.5281/zenodo.7590910 , 10.5281/zenodo.7590909

Understanding cirrus clouds using explainable machine learning

Abstract

This repository contains the data for the paper: Authors: Kai Jeggle , David Neubauer , Gustau Camps-Valls and Ulrike Lohmann Titel: Understanding cirrus clouds using explainable machine learning Date: 2023 Note that the scripts can be found in the accompanying package (https://github.com/tabularaza27/explaining_cirrus)

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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.
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influence
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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impulse
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