Discover datasets

The RECAP-EEG dataset comprises resting-state electroencephalography recordings from 21 neurotypical undergraduate students collected before and after three different study conditions: active learning with retrieval practice and feedback, passive learning from personal notes, and a control condition. The study investigates neural correlates of learning processes in educational contexts using 32-channel EEG recordings sampled at 500 Hz with standardized electrode placement according to the 10–20 system.

Participants

21

Channels

31

Size

1.32 GB

Version

vv1.0.0

Updated

Jul 10, 2026

PhysioMotion_Artifact is an electrophysiological dataset organized in BIDS format containing EEG recordings with associated physiological motion artifacts. The dataset serves as a resource for studying and developing artifact detection and correction methods in EEG analysis, with potential applications in motor imagery and brain-computer interface research.

Participants

30

Channels

59 (10-10)

Size

36.2 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises laser-evoked potentials recorded simultaneously from the human spinal cord and cortex. The study investigates nociceptive processing across multiple levels of the somatosensory system using high-resolution electrophysiological recordings. Data include EEG and spinal cord recordings from multiple subjects, providing insights into pain-related neural activity from peripheral to central nervous system levels.

Participants

7

Channels

72 (other)

Size

18.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

Participants

20

Channels

67 (10-05)

Citations

3

HED

v8.4.0

Size

15.0 GB

Version

vv1.0.0

Updated

Jul 10, 2026

BigP3BCI Study J is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 character grid speller task. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 16-channel EEG with a standard 10-20 montage and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.

Participants

20

Channels

16 (10-10)

HED

v8.4.0

Size

426 MB

Version

vv1.0.1

Updated

Jul 10, 2026

Participants

10

Channels

61 (10-05)

HED

v8.4.0

Size

1.20 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings acquired during a sham neurofeedback experiment conducted in virtual reality, investigating how feedback valence modulates alpha-band activity during attentional tasks. Participants received positive, negative, or control feedback while performing an attentional task, with additional resting-state recordings (eyes open and closed). Data were collected using a 32-channel SynAmps RT system and converted to BIDS format.

Participants

36

Channels

29 (10-10)

Size

10.4 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 64-channel EEG recordings plus 1 EOG and 1 stimulus channel at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.

Participants

11

Channels

62 (10-10)

Citations

9

HED

v8.4.0

Size

2.06 GB

Version

vv1.0.1

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.

Participants

9

Size

297 MB

Version

vv1.0.0

Updated

Jul 10, 2026

BrainForm is a P300 event-related potential (ERP) EEG dataset collected from 22 participants using a gamified brain-computer interface (BCI) designed for scalable data collection with consumer hardware. Participants completed repeated runs of a P300 spelling/selection task within a serious game paradigm, enabling investigation of BCI skill acquisition across sessions and the effects of different visual stimulation textures on perceptual and performance outcomes.

Participants

22

Citations

1

Size

132 MB

Version

vv1.0.1

Updated

Jul 10, 2026