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

DOI

This dataset gathered data collected on a set of 222 binary mixtures, based on a set of 72 odorants chiefly found in food, rated by 30 selected and trained assessors for odor intensity and pleasantness. The data included odor intensity (IAB) and pleasantness (PAB) of the mixtures, the intensity (IA, IB) and the pleasantness (PA, PB) of the two components. Moreover, the intensity (IAmix, IBmix) of the two components’ odor perceived within the mixture are included. The quality of the dataset was evaluated by checking subjects’ performance and by testing repeatability using the 24 duplicated trials for each attribute.

Identifier
DOI https://doi.org/10.15454/51OVY6
Related Identifier https://doi.org/10.1093/chemse/bjaa020
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/51OVY6
Provenance
Creator Ma, Yue; Tang, Ke; Xu, Yan; Thomas Danguin, Thierry (ORCID: 0000-0002-9756-355X)
Publisher Recherche Data Gouv
Contributor Thomas Danguin, Thierry
Publication Year 2021
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Thomas Danguin, Thierry (INRA - Institut National de la Recherche Agronomique)
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 6955
Version 2.0
Discipline Agriculture, Forestry, Horticulture; Agricultural and Food Process Engineering