Online_sample_N126_Aesthetic_agreement_on_visual art

Behavioral dataset from the study WAYS OF SEEING, WAYS OF DISAGREEING: INDIVIDUAL DIFFERENCES IN BEING MOVED BY VISUAL ART Demographics_N126.xlsxDemographic information (age, gender, education level) N126 consolidated_allviewers.xlsx Z-normalized individual scores (PANAS Positive/Negative Affect, Tellegen Absorption Scale, MSTAT-II Tolerance for Ambiguity, Need for Cognition Scale, and Aesthetic Experience Questionnaire screening) and artwork-level ratings for each subject across the stimulus set. Art_metrics_25.xlsx. Computed stats image features for the artwork set (113): on texture, self-similarity and colour. A subset of Haralick´s texture propertiesFractal dimension and lacunarity. All metrics z-normalized. Shannon entropy of color channel statistics from CIELAB space (L, A, B, chroma, hue) Data collected at Pontificia Universidad Católica de Chile as part of the PhD project NEURAL, COGNITIVE, AND EXPERIENTIAL DYNAMICS OF AESTHETIC EXPERIENCE THROUGH VISUAL ARTWORKS