Blumenfeld Lab Attribution Yes Yale School of Medicine Dept of Neurology NITRC Multimodal Visual Consciousness Study Dataset Zheng Zhang This 133-subject dataset (1.47TB) was acquired for and analyzed in Kronemer et al. https://doi.org/10.1038/s41467-022-35117-4 The primary aim of this study was to investigate the cortical and subcortical networks for visual conscious perception. The dataset consists of two adult healthy participants groups: (1) 3T MRI anatomical and BOLD images (TR = 1000ms; voxel size = 2x2x2mm) and (2) 256-channel scalp EEG (sampling rate = 1000Hz). Concurrent pupillometry and eye-tracking (EyeLink 1000 Plus; sampling rate = 1000Hz) is available for most participants. The dataset includes adult epilepsy patient participants with concurrent depth EEG and 20-channel scalp EEG recordings. All recordings were made concurrently with a custom visual perception task. Citation: Kronemer, S.I., Aksen, M., Ding, J.Z. et al. Human visual consciousness involves large scale cortical and subcortical networks independent of task report and eye movement activity. Nat Commun 13, 7342 (2022). https://doi.org/10.1038/s41467-022-35117-4 2022-7-01 RP_depthEEG_v1 2022-5-12 RP_MRI_v1 2022-5-12 RP_EEG_v1 2022-5-05 NRP_v1 Multimodal Visual Consciousness Study Dataset Computational Neuroscience, MR, EEG/MEG, Attribution http://www.nitrc.org/projects/bmvp/, http://https://bmvp.projects.nitrc.org/ zheng.zhang@yale.edu