A novel dataset of 556 street art images is presented, accompanied by affective evaluations from 1,239 Portuguese and Brazilian participants. Many artworks were selected to reflect themes associated with the United Nations Sustainable Development Goals. Using a stimulus-sampling design, each participant completed an online survey presenting ten randomly selected artworks and reported their responses in terms of valence, arousal, and discrete emotions (being moved, awe, inspiration, hope, sadness, fear, anger, emotional connection, reflection, awareness, and interest), as well as their interest in street art and sustainability consciousness. Multilevel analyses indicated that higher interest in street art and greater sustainability consciousness were consistent predictors of more positive emotional responses to the artworks. In contrast, the effects of gender and age were negligible, and national differences emerged only for feelings of being moved and awe. Network analysis revealed a highly interconnected emotional structure, with three clusters emerging: Self-transcendent, Epistemic, and Negative Emotions. Feeling moved and emotional connection with the themes occupied central bridging positions, showing both direct and indirect links across positive and negative emotion clusters. These patterns indicate that street art evokes a range of self-transcendent and epistemic emotions, often intertwined with mixed emotional states. The resulting dataset provides a valuable resource for cross-cultural and affective research on emotional responses to street art and on the communication of sustainability-related themes.

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emotions,street art,aesthetics,sustainability,dataset,visual stimuli

• Psychology - Social Sciences