Witzel, Christoph
Maule, John
Franklin, Anna
2019-12-07
<p>This is supplementary material accompanying the article:</p>
<p>Witzel, C., Maule, M., & Franklin, A. (2019) Red, yellow, green and blue are not particularly colorful. <em>Journal of Vision</em>.</p>
<p>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).</p>
<p>focsat_tables.xlsx contains the exact data from tables in the article (Table 2) and the Supplementary Tables S1-S10. Eleven sheets in total.</p>
<p>weberfechner.m is a Matlab function that allows for calculating Weber fractions and discriminable saturation as reported in the article.</p>
https://doi.org/10.5281/zenodo.3566505
oai:zenodo.org:3566505
eng
Zenodo
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.3566504
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Journal of Vision, (2019-12-07)
color categorization
color discrimination
color naming
color vision
chroma
colorfulness
saturation
Sapir–Whorf hypothesis
unique hues
Red, yellow, green and blue are not particularly colorful
info:eu-repo/semantics/other