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

Watson, P; Onie, S

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

Watson, P Onie, S

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Data Brief, 2023, 47, pp. 108914
Issue Date:: 2023-04

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Field	Value	Language
dc.contributor.author	Watson, P
dc.contributor.author	Onie, S
dc.date.accessioned	2023-11-02T05:29:11Z
dc.date.available	2023-01-12
dc.date.available	2023-11-02T05:29:11Z
dc.date.issued	2023-04
dc.identifier.citation	Data Brief, 2023, 47, pp. 108914
dc.identifier.issn	2352-3409
dc.identifier.issn	2352-3409
dc.identifier.uri	http://hdl.handle.net/10453/172951
dc.description.abstract	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.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	ELSEVIER
dc.relation.ispartof	Data Brief
dc.relation.isbasedon	10.1016/j.dib.2023.108914
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.rights	This is an open access article under the CC BY-NC-ND license.
dc.title	Images of Australian alcoholic and non-alcoholic beverages: A validation dataset.
dc.type	Journal Article
utslib.citation.volume	47
utslib.location.activity	Netherlands
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Clinical Psychology
utslib.copyright.status	open_access	*
dc.date.updated	2023-11-02T05:29:10Z
pubs.publication-status	Published online
pubs.volume	47

Abstract:

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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http://hdl.handle.net/10453/172951