Visual Acoustics Open Dataset: Cross-modal correspondence metrics with human perceptual validation

Visual Acoustics is an open research platform that systematically maps objective visual properties of images to auditory parameters using physics and psychoacoustics. This dataset collects anonymous numerical metrics from image analyses contributed by users worldwide, together with optional human perceptual ratings of the resulting sonifications. The central scientific question addressed is whether universal cross-modal correspondences exist between objective visual properties and perceptual sound qualities, or if these mappings are culturally contingent. This dataset is the direct extension of Ranero García (2026; DOI: 10.5281/zenodo.18714818), extending the thesis that φ ≈ 1.618 functions as a mathematical optimum from spatial biology to cross-modal perception. No images are stored or transmitted — only numerical descriptors are recorded. This work continues the author's previous computational verification of the golden angle in phyllotaxis (Ranero García 2026; DOI: 10.5281/zenodo.18714818), extending the thesis that φ ≈ 1.618 functions as a mathematical optimum from spatial biology to cross-modal perception.