This dataset contains Supplementary Table S1 (Directional analysis data of retinal vessel density) and Supplementary Figure S1 (Windmill plots) supporting the findings of the manuscript titled:Dynamic neurovascular adaptation of the retina during high-altitude hypoxia: integrated analysis of ERG and OCTA changes in healthy subjects. Submitted to: Journal of Applied Physiology

The SYN-OCT dataset consists of 200,000 synthetic cross-sectional circumpapillary OCT images, including 100,000 images generated to represent glaucoma eyes and 100,000 images generated to represent healthy eyes. These synthetic images were produced using generative models trained on real OCT scans collected from participants at the Singapore Eye Research Institute. This resource is designed to support the development and validation of deep learning models for glaucoma detection and analysis. It also serves as a landmark dataset for advancing research on synthetic medical image generation and its potential applications in clinical and AI settings.

This is the dataset for Min Tan, Alex M. Winsor, Long Yu, Eunice J. Tan, Elizabeth M. Jakob, Daiqin Li. (2025). Motion enhances camouflage: Retinal evidence for flicker fusion camouflage in jumping spiders. **Funding sources** This study was supported by the grants from the National Natural Science Foundation of China (32270531 to DLi and 32301291 to LYu), the Singapore Ministry of Education Academic Research Fund (AcRF) to DLi (A-8001085-00-00), the National Science Foundation award (1656714 to EMJakob), and the Oscar and Jan Francke Student Research Fund of the International Society of Arachnology to MTan. **Overview for Tan\_et\_al\_data\_and\_codes** Folder List: Codes\_Tan\_et\_al: This folder contains the R code (in software) for data analyses and figures. Data\_Tan\_et\_al: This folder contains the dataset (file type "csv"). **Methodological information** The data was collected following the protocol described in Tan et al. (2025). The data was analysed with R 4.4.2. **Specific information** More details for each folder can be found within the folders.

This dataset contains raw electrophysiology recordings, MEA firing-rate matrices, ultrasound calibration files, confocal images, and analysis scripts used in the study "Sonogenetic Activation of Retinal Neurons for Vision Restoration". The data support all main findings and figures in the manuscript.

Original data corresponding to the PNAS (2025) publication titled "S-cone specific circuitry in the outer plexiform layer of a cone-dominant mammal." Data is organized by type: Reconstructions, Electrophysiology, Electroretinography, and Immunohistochemistry. Additonal software may be required to view data files. Where applicable, README files have been included with brief explanations. A 3D PDF is also included that allows customizable interaction with the reconstructions presented in this publication. Downloading the file and viewing it in Adobe Acrobat Reader is required for interactivity, and you may be prompted to "enable" or "trust" the 3D media first. See the accompanying guide for additional details.