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Download smoking cues Link to publication

SmoCuDa - The Open Smoking Cue Database

About

SmoCuDa is a free open access database of 250 smoking-related images. All images were taken from open and free-to-use photo websites (creative commons license) and were chosen to cover a widespread variety of cigarette-associated content (e.g. cigarettes, ashtrays, smokers of different ages and genders). Further, all images have been rated, tested and validated by, to date, 40 mild to heavy smokers. These ratings demonstrate that SmoCuDa images cover a wide range of intensities along the stimulus dimensions “craving”, “arousal”, and “valence”. Thus, SmoCuDa images are suited particularly well to investigate cue-induced behavior and neural activity over a large continuum of intensities.

Smoking Cues

To download the images please click the button above or the following link: download here

Reference

More detailed information on image ratings, cross-validations with other image databases (International Affective Picture System; and International Smoking Image Series), and on image-driven brain activity are available in our paper:

Manoliu, A., Haugg, A., Sladky, R., Hulka, L., Kirschner, M., Brühl, A. B., … & Scharnowski, F. (2020). SmoCuDa: A Validated Smoking Cue Database to Reliably Induce Craving in Tobacco Use Disorder. European Addiction Research, 1-8.

To download the paper please click the button above or the following link: download here. Please contact us for any questions prior to publication (amelie.haugg(AT)uzh.ch, andrei.manoliu(AT)puk.zh.ch, frank.scharnowski(AT)uzh.ch).

Documentation

Participants

SmoCuDa images were rated by 40 smokers (age = 26.12±5.74 years; 20 females, 19 males, 1 non-binary; cigarettes/day = 12.58±5.84; smoking duration = 7.2±4.66 years).

Ratings

An EXCEL file with information on image ratings can be downloaded here. Further information on image ratings are available in the SmoCuDa manuscript and our Open Science Framework project folder.

Cross-validation with other image databases

Cross-validations with other image databases are quickly discussed in the SmoCuDa manuscript, with more detailed information available in the Supplemntal Material.

Contact information

Please contact us for any questions (amelie.haugg(AT)uzh.ch, andrei.manoliu(AT)puk.zh.ch, frank.scharnowski(AT)uzh.ch). Further, we are happy to include any additional ratings from your own studies in the here presented overall ratings.