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A dataset of sensory perception of chocolates, guacamoles, ice teas and crisps collected with consumers using six temporal methods

This article describes a dataset providing temporal sensory perception data of four dark chocolates, four guacamoles, four crisps and four ice teas collected from 436 consumers divided in six groups. Each group of consumers has tested all products using only one sensory evaluation method among: Temp...

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Detalles Bibliográficos
Autores principales: Visalli, Michel, Cordelle, Sylvie, Mahieu, Benjamin, Pedron, Catherine, Hoffarth, Betty, Praudel, Manon, Coutière, Marine, Schlich, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679663/
https://www.ncbi.nlm.nih.gov/pubmed/36425987
http://dx.doi.org/10.1016/j.dib.2022.108708
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author Visalli, Michel
Cordelle, Sylvie
Mahieu, Benjamin
Pedron, Catherine
Hoffarth, Betty
Praudel, Manon
Coutière, Marine
Schlich, Pascal
author_facet Visalli, Michel
Cordelle, Sylvie
Mahieu, Benjamin
Pedron, Catherine
Hoffarth, Betty
Praudel, Manon
Coutière, Marine
Schlich, Pascal
author_sort Visalli, Michel
collection PubMed
description This article describes a dataset providing temporal sensory perception data of four dark chocolates, four guacamoles, four crisps and four ice teas collected from 436 consumers divided in six groups. Each group of consumers has tested all products using only one sensory evaluation method among: Temporal Dominance of Sensations (TDS, n=70), Temporal Check-All-That-Apply (TCATA, n=73), Attack-Evolution-Finish (AEF) dominance (n=74), AEF applicability (n=75), Free-Comment Attack-Evolution-Finish (FC-AEF) dominance (n=72) and FC-AEF applicability (n=72). Each consumer evaluated all the products: guacamoles and ice tea were evaluated in the lab in one session; chocolates and crisps were evaluated at home in two separate sessions. Within each product category, one sample has been replicated. The consumers started with product descriptions, then they gave a hedonic score, and after having tasted all the products related to a same category, they answered questions about product complexity and difficulty of the task. Consumer information included in the dataset is sex, age and frequency of consumption of each product category. This dataset is unique as it addresses several temporal methods applied on four product categories with different textures and levels of complexity. Thus, it could be very useful for the sensometric community to compare the different methods and their parameters: dominance vs. applicability, periods vs. continuous time, simultaneous vs. retrospective measures, list of terms vs. Free-Comment.
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spelling pubmed-96796632022-11-23 A dataset of sensory perception of chocolates, guacamoles, ice teas and crisps collected with consumers using six temporal methods Visalli, Michel Cordelle, Sylvie Mahieu, Benjamin Pedron, Catherine Hoffarth, Betty Praudel, Manon Coutière, Marine Schlich, Pascal Data Brief Data Article This article describes a dataset providing temporal sensory perception data of four dark chocolates, four guacamoles, four crisps and four ice teas collected from 436 consumers divided in six groups. Each group of consumers has tested all products using only one sensory evaluation method among: Temporal Dominance of Sensations (TDS, n=70), Temporal Check-All-That-Apply (TCATA, n=73), Attack-Evolution-Finish (AEF) dominance (n=74), AEF applicability (n=75), Free-Comment Attack-Evolution-Finish (FC-AEF) dominance (n=72) and FC-AEF applicability (n=72). Each consumer evaluated all the products: guacamoles and ice tea were evaluated in the lab in one session; chocolates and crisps were evaluated at home in two separate sessions. Within each product category, one sample has been replicated. The consumers started with product descriptions, then they gave a hedonic score, and after having tasted all the products related to a same category, they answered questions about product complexity and difficulty of the task. Consumer information included in the dataset is sex, age and frequency of consumption of each product category. This dataset is unique as it addresses several temporal methods applied on four product categories with different textures and levels of complexity. Thus, it could be very useful for the sensometric community to compare the different methods and their parameters: dominance vs. applicability, periods vs. continuous time, simultaneous vs. retrospective measures, list of terms vs. Free-Comment. Elsevier 2022-10-28 /pmc/articles/PMC9679663/ /pubmed/36425987 http://dx.doi.org/10.1016/j.dib.2022.108708 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Visalli, Michel
Cordelle, Sylvie
Mahieu, Benjamin
Pedron, Catherine
Hoffarth, Betty
Praudel, Manon
Coutière, Marine
Schlich, Pascal
A dataset of sensory perception of chocolates, guacamoles, ice teas and crisps collected with consumers using six temporal methods
title A dataset of sensory perception of chocolates, guacamoles, ice teas and crisps collected with consumers using six temporal methods
title_full A dataset of sensory perception of chocolates, guacamoles, ice teas and crisps collected with consumers using six temporal methods
title_fullStr A dataset of sensory perception of chocolates, guacamoles, ice teas and crisps collected with consumers using six temporal methods
title_full_unstemmed A dataset of sensory perception of chocolates, guacamoles, ice teas and crisps collected with consumers using six temporal methods
title_short A dataset of sensory perception of chocolates, guacamoles, ice teas and crisps collected with consumers using six temporal methods
title_sort dataset of sensory perception of chocolates, guacamoles, ice teas and crisps collected with consumers using six temporal methods
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679663/
https://www.ncbi.nlm.nih.gov/pubmed/36425987
http://dx.doi.org/10.1016/j.dib.2022.108708
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