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                                       Details for article 6 of 185 found articles
 
 
  A dataset on odor intensity and odor pleasantness of 222 binary mixtures of 72 key food odorants rated by a sensory panel of 30 trained assessors
 
 
Title: A dataset on odor intensity and odor pleasantness of 222 binary mixtures of 72 key food odorants rated by a sensory panel of 30 trained assessors
Author: Ma, Yue
Tang, Ke
Xu, Yan
Thomas-Danguin, Thierry
Appeared in: Data in brief
Paging: Volume 36 () nr. C pages p.
Year: 2021
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 6 of 185 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands