The Salford Nature Environments Database (SNED): an open-access database of standardized high-quality pictures from natural environments
2024

The Salford Nature Environments Database: A Resource for Nature Research

Sample size: 801 publication 10 minutes Evidence: high

Author Information

Author(s): Bendall Robert C. A., Royle Sam, Dodds James, Watmough Hugh, Gillman Jamie C., Beevers David, Cassidy Simon, Short Ben, Metcalfe Paige, Lomas Michael J., Graham-Kevan Draco, Gregory Samantha E.

Primary Institution: University of Salford

Hypothesis

The study aims to create a standardized database of natural images to support research on the benefits of nature exposure.

Conclusion

The Salford Nature Environments Database (SNED) provides a comprehensive collection of standardized images that can enhance research into the restorative effects of nature.

Supporting Evidence

  • Participants rated nature images as more pleasant than urban images.
  • Nature images evoked higher positive valence and lower arousal compared to urban images.
  • The database includes 500 high-quality images representing various natural environments.
  • Normative scores for user-rated characteristics are provided for each image.
  • Participants were recruited from diverse geographical regions to improve generalizability.

Takeaway

This study created a big collection of nature pictures to help scientists understand how being around nature can make us feel better.

Methodology

Participants rated 500 images of natural and urban environments on various properties, including valence, arousal, and approach-avoidance.

Potential Biases

Potential bias in participant demographics as the sample was skewed towards the UK, Europe, and North America.

Limitations

The database may include images that were edited by photographers, and not all images have complete EXIF data.

Participant Demographics

Participants included 394 females, 391 males, 10 non-binary, and 6 preferred not to say, aged 18-79.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.3758/s13428-024-02556-4

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