Discover datasets

This dataset comprises resting-state EEG recordings from two independently collected samples of healthy controls and first-episode psychosis (FEP) individuals. EEG data were acquired using a 60-channel low-impedance 10-10 system cap during 5-minute resting periods. The second sample excludes subjects overlapping with the first acquisition to avoid redundancy. Clinical assessments including psychiatric rating scales, cognitive batteries, and socioeconomic measures are provided in the phenotype directory.

Participants

61

Channels

61 (10-10)

Citations

10

Size

12.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises human electroencephalography recordings from 20 participants performing a visual attention task involving rapid sequences of overlaid oriented gratings. Participants detected target gratings while manipulating both attention (cued by color) and temporal expectation (predictable vs. unpredictable stimulus onset timing). The study dissociates feature-based attention effects from temporal expectation and target-related decision processes, providing insights into the temporal dynamics of selective attention.

Participants

20

Citations

1

Size

30.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG, physiological (ECG, respiration, EDA, EMG), and behavioural data collected in 2020 from 44 healthy adults (ages 21-40) during resting-state and task-based conditions. Tasks included a spontaneous deception paradigm (a gambling game requiring participants to report predictions truthfully or deceptively) and a cognitive control battery assessing processing speed, response selection, response inhibition, and conflict resolution. The dataset supports research into the neurophysiological correlates of deception and cognitive control processes.

Participants

45

Channels

139 (other)

Citations

4

Size

202 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks with three short word conditions (out, in, up). Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory and visual cueing, yielding 5,400 trials suitable for BCI research and benchmarking.

Participants

6

Channels

60 (10-10)

Citations

98

HED

v8.4.0

Size

1.90 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains EEG, eye-tracking, and vehicle performance data collected during the BCIT Traffic Complexity study, in which subjects performed a simulated driving task under varying visual complexity and perturbation frequency conditions. The study aimed to identify biomarkers of driver fatigue by comparing EEG-based predictive algorithms to objective performance measures and subjective fatigue scales. Data collection took place at Teledyne Corporation in Durham, NC, and is related to companion datasets on Baseline Driving and Calibration Driving tasks.

Participants

29

Channels

64 (10-10)

Citations

39

HED

v8.0.0

Size

17.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises scalp EEG recordings from 45 participants during passive listening to a naturalistic 12.4-minute audiobook excerpt (first chapter of Alice's Adventures in Wonderland). The study investigates how the brain constructs hierarchical syntactic structure and generates rapid linguistic predictions during continuous speech comprehension. Each word event is annotated with linguistic predictors including lexical frequency, acoustic properties, and surprisal estimates from n-gram, recurrent neural network, and context-free grammar models.

Participants

45

Channels

60 (other)

Citations

127

Size

3.81 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains intracranial electrophysiological (iEEG) recordings and behavioral event data from patients performing a paired associates memory task, collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Participants studied pairs of words, completed a distractor arithmetic task, and performed cued recall to test memory for word pairs. The dataset supports research into the neural basis of associative memory encoding and retrieval using intracranial recordings.

Participants

72

Size

167 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises consolidated cEEGrid recordings from two attended speaker paradigm studies involving 36 participants (15 from Jaeger et al. 2020 and 21 from Holtze et al. 2021). Participants performed a dichotic listening task with competing audiobooks while instructed to attend to either the left or right speaker. The pooled dataset includes recordings under omnidirectional and beamforming acoustic conditions, providing a resource for investigating neural correlates of selective auditory attention using high-density EEG.

Participants

36

Channels

18 (other)

Citations

38

Size

6.03 GB

Version

v1.0.0

Updated

Jul 10, 2026