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ZENODO
Dataset . 2019
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 . 2019
License: CC BY
Data sources: ZENODO
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 . 2019
License: CC BY
Data sources: Datacite
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Red, yellow, green and blue are not particularly colorful

Authors: Witzel, Christoph; Maule, John; Franklin, Anna;

Red, yellow, green and blue are not particularly colorful

Abstract

This is supplementary material accompanying the article: Witzel, C., Maule, M., & Franklin, A. (2019) Red, yellow, green and blue are not particularly colorful. Journal of Vision. focsat_data.xlsx contains all the individual data, including adjustments of typical and unique hues (+ super-saturated condition), detection (JND0) and discrimination (JND) data for red, yellow, green, and blue; and average saturation matches (subjective saturation) from Witzel and Franklin (2014). Nine sheets overall. IMPORTANT: All data is matched by participants (rows); but participant ids are not provided for reasons of data protection. Empty rows correspond to missing data. Also note that detection thresholds are provided in the first 10 columns, discrimination thresholds in the following 10 columns (11-20). focsat_tables.xlsx contains the exact data from tables in the article (Table 2) and the Supplementary Tables S1-S10. Eleven sheets in total. weberfechner.m is a Matlab function that allows for calculating Weber fractions and discriminable saturation as reported in the article.

Related Organizations
Keywords

color vision, saturation, unique hues, color discrimination, chroma, color categorization, Sapir–Whorf hypothesis, color naming, colorfulness

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selected citations
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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.
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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