A dataset about data-centric typology of the self-report sensory evaluation measures used in food science

Name: A dataset about data-centric typology of the self-report sensory evaluation measures used in food science
Creator: Michel Visalli
Published: 2022-08-01T15:15:53.485Z
Keywords: Food Science, Sensory Properties

Visalli, Michel; Schlich, Pascal; Mahieu, Benjamin; Thomas, Arnaud; Weber, Magalie; Guichard, Elisabeth

doi:10.17632/s2zn9s69fg.1

A dataset about data-centric typology of the self-report sensory evaluation measures used in food science

Published: 1 August 2022| Version 1 | DOI: 10.17632/s2zn9s69fg.1

Contributors:

Michel Visalli, Pascal Schlich, Benjamin Mahieu, Arnaud Thomas, Magalie Weber, Elisabeth Guichard

Description

This dataset lists descriptive sensory analysis methods and organizes as a wheel based on three measurement concepts: "Type of measure", "Variable measured" and "Temporal resolution".

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Institutions

Centre des Sciences du Gout et de l'Alimentation

A dataset about data-centric typology of the self-report sensory evaluation measures used in food science

Description

Files

Institutions

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