Research Data Leeds Repository

Citation

Ariakpomu, Nnenna and Ho, Peter and Holmes, Melvin (2024) Sensory attribute and difference from control ratings of Jaffa cakes. University of Leeds. [Dataset] https://doi.org/10.5518/1484

Dataset description

The dataset contains assessor ratings on three samples of Jaffa cakes purchased from three UK commercial brands. A panel of untrained assessors (n=67) evaluated the samples using the overall difference testing method -difference from control (DFC) and the attribute intensity rating test. The orange flavour, sweetness, cocoa flavour, milky flavour and saltiness intensities of the samples were evaluated. RedJade sensory software was used for data collection between July and August 2023 in the Food Technology Laboratory of the 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.

Additional information:	This dataset is held in the Restricted Access Data Repository, RADAR. To request access, please click the link under ‘Related resources’. You will be prompted to complete a request form including your intended use of the dataset. You will then receive an initial response to your request within 10 working days.
Keywords:	Sensory difference tests; Difference-from-control; Attribute intensity rating; Untrained sensory panel; Jaffa cakes
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
Related resources:	Location Type https://radar.researchdata.leeds.ac.uk/53/ Dataset
Date deposited:	22 Mar 2024 18:21
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1265
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 Collection period: Date from Date to July 2023 August 2023 Grant numbers: NGCA-2022-96 Publication date: 2024 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: 26 Nov 2024 09:53

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