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Images of Australian alcoholic and non-alcoholic beverages: A validation dataset

For multi-session alcohol cognitive bias modification, a large image dataset depicting both alcohol and non-alcoholic beverages is required. We photographed a wide range of beverages and then validated them in a group of Australian community participants: 47 women and 39 men, aged from 18 to 73, who...

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Detalles Bibliográficos
Autores principales: Watson, Poppy, Onie, Sandersan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898584/
https://www.ncbi.nlm.nih.gov/pubmed/36747978
http://dx.doi.org/10.1016/j.dib.2023.108914
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author Watson, Poppy
Onie, Sandersan
author_facet Watson, Poppy
Onie, Sandersan
author_sort Watson, Poppy
collection PubMed
description For multi-session alcohol cognitive bias modification, a large image dataset depicting both alcohol and non-alcoholic beverages is required. We photographed a wide range of beverages and then validated them in a group of Australian community participants: 47 women and 39 men, aged from 18 to 73, who drank alcohol at least occasionally in the last year, with Alcohol Use Disorder Identification Test (AUDIT) scores ranging from 1 to 33. Participants were asked to categorize images as alcoholic vs non-alcoholic, rate the familiarity of each beverage and rate their craving for each beverage. The dataset includes all images and ratings for each image, stratified by gender and high/low AUDIT scores. Mean ratings per participant per beverage category are also provided.
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spelling pubmed-98985842023-02-05 Images of Australian alcoholic and non-alcoholic beverages: A validation dataset Watson, Poppy Onie, Sandersan Data Brief Data Article For multi-session alcohol cognitive bias modification, a large image dataset depicting both alcohol and non-alcoholic beverages is required. We photographed a wide range of beverages and then validated them in a group of Australian community participants: 47 women and 39 men, aged from 18 to 73, who drank alcohol at least occasionally in the last year, with Alcohol Use Disorder Identification Test (AUDIT) scores ranging from 1 to 33. Participants were asked to categorize images as alcoholic vs non-alcoholic, rate the familiarity of each beverage and rate their craving for each beverage. The dataset includes all images and ratings for each image, stratified by gender and high/low AUDIT scores. Mean ratings per participant per beverage category are also provided. Elsevier 2023-01-20 /pmc/articles/PMC9898584/ /pubmed/36747978 http://dx.doi.org/10.1016/j.dib.2023.108914 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Watson, Poppy
Onie, Sandersan
Images of Australian alcoholic and non-alcoholic beverages: A validation dataset
title Images of Australian alcoholic and non-alcoholic beverages: A validation dataset
title_full Images of Australian alcoholic and non-alcoholic beverages: A validation dataset
title_fullStr Images of Australian alcoholic and non-alcoholic beverages: A validation dataset
title_full_unstemmed Images of Australian alcoholic and non-alcoholic beverages: A validation dataset
title_short Images of Australian alcoholic and non-alcoholic beverages: A validation dataset
title_sort images of australian alcoholic and non-alcoholic beverages: a validation dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898584/
https://www.ncbi.nlm.nih.gov/pubmed/36747978
http://dx.doi.org/10.1016/j.dib.2023.108914
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