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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-9898584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT watsonpoppy imagesofaustralianalcoholicandnonalcoholicbeveragesavalidationdataset AT oniesandersan imagesofaustralianalcoholicandnonalcoholicbeveragesavalidationdataset |