ArticleScientific reports2021
e-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05492006 (Immune Response and Affective States of Elderly and 50+ Individuals After Intentional and Indirect Contact With Nature), which is not on this map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Immune Response and Affective States of Elderly and 50+ Individuals After Intentional and Indirect Contact With Nature: a Randomized Controlled Clinical Trial
Who cites it
7 citing papers in PubMed.
- Nature Photographs as Complementary Care in Chemotherapy: A Randomized Clinical Trial.International journal of environmental research and public health · 2023Trial
- Affective integration in climate change communication: recency effects and negativity bias in responses to climate picture sequences.Frontiers in psychology · 2026Article
- The Beyond Reality Image Collection (BRIC).Behavior research methods · 2025Article
- The Salford Nature Environments Database (SNED): an open-access database of standardized high-quality pictures from natural environments.Behavior research methods · 2024Article
- Is a picture worth the same emotions everywhere? Validation of images from the Nencki affective picture system in Malaysia.Discover mental health · 2024Article
- Uncovering the potential of evaluative conditioning in shaping attitudes toward sustainable product packaging.Frontiers in psychology · 2024Article
- A time with e-Natureza (e-Nature): a model of nature-based health interventions as a complex adaptive system.Frontiers in psychology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Affectively rated image databases have their main application in studies that require inducing distinct stimuli on subjects. Widespread databases are designed to cover a broad range of stimuli, from negative to positive (valence), and relaxed to excited (arousal). The availability of narrow domain databases, designed to cover and thoroughly analyze a few categories of images that induce a particular stimulus, is limited. We present a narrow domain affective database with positive images, named e-Nature Positive Emotions Photography Database (e-NatPOEM), consisting of 433 high-quality images produced by professional and amateur photographers. A total of 739 participants evaluated them using a web-based tool to input valence-arousal values and a single word describing the evoked feeling. Ratings per image ranged from 36 to 108, median: 57; first/third quartiles: 56/59. 84% of the images presented valence > middle of the scale and arousal < middle of the scale. Words describing the images were classified into semantical groups, being predominant: Peace/tranquility (39% of all words), Beauty (23%), and Positive states (15%). e-NatPOEM is free and publicly available, it is a valid resource for affective research, and presents the potential for clinical use to assist positive emotions promotion.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.