A1 Refereed original research article in a scientific journal
Dataset of verbal evaluation of umami taste in Europe
Authors: Iannilli E, Knaapila A, Cecchini MP, Hummel T
Publisher: ELSEVIER
Publication year: 2020
Journal: Data in Brief
Journal name in source: DATA IN BRIEF
Journal acronym: DATA BRIEF
Article number: ARTN 105102
Volume: 28
Number of pages: 7
ISSN: 2352-3409
DOI: https://doi.org/10.1016/j.dib.2019.105102
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/46946158
Abstract
The data presented here includes verbal descriptors used by Finnish, German and Italian subjects to express the quality of an umami taste solution offered in a blind fashion. The dataset refers to the research article "A cross-cultural survey of Umami Familiarity in European Countries" [1]. Data shows that a total of 106 different classes of words, including synonyms, were used by the Finnish group, 64 different classes of words, including synonyms, were used by the German group, and a total of 70 different classes of words, including synonyms, were used by the Italian group. The descriptors are reported in Excel tables and visualized in a bar graph where the length of the bars indicates the number of given answers for each class. (C) 2020 The Authors. Published by Elsevier Inc.
The data presented here includes verbal descriptors used by Finnish, German and Italian subjects to express the quality of an umami taste solution offered in a blind fashion. The dataset refers to the research article "A cross-cultural survey of Umami Familiarity in European Countries" [1]. Data shows that a total of 106 different classes of words, including synonyms, were used by the Finnish group, 64 different classes of words, including synonyms, were used by the German group, and a total of 70 different classes of words, including synonyms, were used by the Italian group. The descriptors are reported in Excel tables and visualized in a bar graph where the length of the bars indicates the number of given answers for each class. (C) 2020 The Authors. Published by Elsevier Inc.
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