Predicting visual field boundaries from head features – Supplementary material

DOI

Data for Nakade, U. & Spitschan, M. (2025). Predicting visual field boundaries from head features. Journal of the Optical Society of America A, 42(6). https://doi.org/10.1364/JOSAA.551858. See README.md file. The code used to generate the data is available at this GitHub repository (https://github.com/tscnlab/NakadeEtAl_JOptSocAmA_2025) and archived in Zenodo (https://doi.org/10.5281/zenodo.15223983). The dataset is provided in compressed .tar.gz format, split into 500 MB parts. Download size: 22.75 GB, Uncompressed size: ~225.6 GB.

Identifier
DOI https://doi.org/10.17617/3.N6QSJP
Metadata Access https://edmond.mpg.de/api/datasets/export?exporter=dataverse_json&persistentId=doi:10.17617/3.N6QSJP
Provenance
Creator Nakade, Uday; Manuel Spitschan
Publisher Edmond
Publication Year 2025
Funding Reference 26787/2/22/Z; TUM Seed Fund; Max Planck Research Group Translational Sensory & Circadian Neuroscience; Wellcome Trust; Technical University of Munich; Max Planck Society
OpenAccess true
Contact MANUEL.SPITSCHAN(at)TUEBINGEN.MPG.DE
Representation
Language English
Resource Type Dataset
Version 2
Discipline Other