Research Data Leeds Repository

Citation

Ariakpomu, Nnenna and Ho, Peter and Holmes, Melvin (2025) Sensory attribute and difference from control ratings of tomato soup. University of Leeds. [Dataset] https://doi.org/10.5518/1658

Dataset description

The dataset contains assessor ratings for 3 variations of tomato soup. A panel of untrained assessors (n=54) evaluated the samples using the overall difference testing method -Difference from Control (DFC) and the attribute intensity rating test. Assessors rated the intensities of 18 sensory attributes categorised under 5 sensory modalities: appearance (glossy appearance, herby appearance, colour intensity, viscous appearance), aroma (pungent aroma, cooked tomato aroma, rich aroma), mouthfeel (smooth mouthfeel, homogenous mouthfeel, thick mouthfeel), flavour (creamy flavour, savoury flavour, herbal flavour, cooked tomato flavour), and taste (sweet taste, sour taste, salty taste, aftertaste). Data was collected using RedJade sensory software between November and December 2024 in the Food Technology Laboratory, School of Food Science and Nutrition, University of Leeds. Demographic data (frequency of consumption of the samples prior to the study, gender, age, ethnicity and country of birth) were also collected.

Keywords:	Sensory difference tests; Difference-from-control; Attribute intensity rating; Untrained sensory panel; Tomato soup
Subjects:	D000 - Veterinary sciences, agriculture & related subjects > D600 - Food & beverage studies > D610 - Food science
Divisions:	Faculty of Engineering and Physical Sciences > School of Food Science and Nutrition
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	19 Mar 2025 13:50
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1384
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Ariakpomu, Nnenna https://orcid.org/0009-0005-7444-9358 University of Leeds https://ror.org/024mrxd33 ror Ho, Peter https://orcid.org/0000-0002-2533-0183 University of Leeds https://ror.org/024mrxd33 ror Holmes, Melvin https://orcid.org/0000-0002-6819-1048 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Commonwealth Scholarship Commission, UK Grant numbers: NGCA-2022-96 Publication date: 2025 Resource language: English Metadata language: English Research project title: Application of Rasch analysis in sensory difference testing Publisher: University of Leeds Contact email: p.ho@leeds.ac.uk Last Modified: 19 Mar 2025 13:50

Files

Documentation

Dataset description [3kB] Dataset description [3kB] Dataset description [3kB] Security: Anyone File name: README_Ariakpomu-etal_2025.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Data

Difference from control ratings [93kB] Difference from control ratings [93kB] Difference from control ratings [93kB] Security: Anyone File name: Tomato_soup_DFC_2024.xls Content type: Data Mime-Type: application/vnd.ms-excel License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 93kB

Attributes intensity ratings [137kB] Attributes intensity ratings [137kB] Attributes intensity ratings [137kB] Security: Anyone File name: Tomato_soup_AR_2024.xls Content type: Data Mime-Type: application/vnd.ms-excel License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 137kB

Panel demographics data [58kB] Panel demographics data [58kB] Panel demographics data [58kB] Security: Anyone File name: Tomato_soup_Demographics_2024.xls Content type: Data Mime-Type: application/vnd.ms-excel License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 58kB