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Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli

Brain Treebank is a large-scale intracranial EEG dataset comprising 43 hours of iEEG recordings from 10 epilepsy patients watching naturalistic Hollywood movies, with 1,688 electrodes sampled at 2048 Hz. The dataset includes time-aligned linguistic annotations with word-level transcripts and Universal Dependencies syntax trees, providing a unique resource for studying neural language processing during naturalistic stimulation.

Participants: 10
Size: 508 GB
Version: v1.0.0
Updated: Jul 10, 2026

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Probability Decision-making Task with ambiguity

Laser-evoked potentials in the human spinal cord and cortex

TMS-EEG-MRI-fMRI-DWI data on paired associative stimulation and connectivity (Shirley Ryan AbilityLab, Chicago, IL)

Motor Imagery ataset from Ofner et al 2017

Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli

MULTI-CLARID (Multimodal Category Learning and Resting-state Imaging Data)

Visual ECoG dataset

FFR-active-listening

Exploring the electrophysiology of Parkinson's disease - magnetoencephalography combined with deep brain recordings from the subthalamic nucleus.

Electrical_Morphine_Placebo_2018