Discover datasets

This dataset is a subset of BigP3BCI, a large public P300-based brain-computer interface collection, covering Study L. It contains 16-channel EEG recordings from 11 participants with amyotrophic lateral sclerosis (ALS) who used a 6x6 character grid speller with multiple stimulus paradigms. Target and non-target flash events are annotated with HED tags, and the data are provided in a BIDS-derivative format for P300 speller classification and BCI benchmarking.

Participants

11

Channels

16 (10-10)

Citations

2

HED

v8.4.0

Size

2.69 GB

Version

v1.0.3

Updated

Oct 8, 2026

A longitudinal brain-machine interface dataset from seven healthy adults who controlled a Rex Bionics lower-limb exoskeleton through motor imagery (walk/stop). Each participant completed nine sessions, each with an open-loop calibration training phase followed by twelve closed-loop control trials and extended 6-minute walk and stop imagery tasks. The dataset includes 60-channel EEG, EOG, IMU motion data from the head and exoskeleton, and exoskeleton control and feedback signals.

Participants

7

Channels

60

Size

3.62 GB

Version

v1.0.0

Updated

Jun 30, 2026

This dataset is Study R of bigP3BCI, a large open P300-based brain-computer interface collection. It contains 32-channel EEG recorded from 20 participants over two sessions each, using a 9x8 multi-face speller grid with target and non-target flashes. The data are standardized in BIDS and prepared for machine learning and benchmarking of P300 speller decoding.

Participants

20

Channels

32 (10-10)

Citations

2

HED

v8.4.0

Size

6.59 GB

Version

v1.0.4

Updated

Oct 8, 2026

The PRIOS dataset contains electrocorticography (ECoG) recordings from 6 patients aged 13-53 years. Cortico-cortical evoked potentials (CCEPs) were elicited by single pulse electrical stimulation (SPES), both in the awake patient during clinical routine and under general propofol anesthesia in the operating room. The data support investigation of how propofol affects local effective brain networks.

Participants

7

Size

27.6 GB

Version

v1.0.0

Updated

Jun 24, 2026

This EEG dataset investigates neurobehavioral mechanisms linking childhood sexual abuse to problem drinking in women. Data were collected at Washington University School of Medicine in St. Louis from monozygotic twin pairs, with twin pairs identified by a shared FamilyID. Task descriptions, subject instructions, stimulus program code and visual stimuli are provided in the stimuli folder.

Participants

118

Channels

35 (10-10)

Size

73.2 GB

Version

v1.0.0

Updated

Jun 22, 2026

Raw 64-channel EEG, ECG, PPG and behavioral recordings from 30 healthy young adults (18–32 years) during resting state and a verbal working memory digit-span task with serial recall. The resting session alternated eyes-closed and eyes-open blocks followed by passive cartoon viewing. In the working memory task, seven-digit sequences were presented visually either simultaneously or sequentially at different rates and with different inter-stimulus intervals, allowing study of how presentation mode affects neural oscillations and peripheral physiology.

Participants

30

Channels

63 (10-10)

Citations

3

Size

41.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

A multi-modal neuroimaging dataset (XP1) with simultaneous 64-channel EEG and fMRI recorded while 10 participants performed right-hand kinaesthetic motor imagery with neurofeedback. Each participant completed motor localizer, pre- and post-training motor imagery runs, and three neurofeedback runs (EEG-only, fMRI-only, and bimodal EEG-fMRI). The release includes raw and preprocessed EEG, BOLD fMRI, anatomical data, and EEG and BOLD neurofeedback scores to support multi-modal data integration.

Participants

10

Size

18.0 GB

Version

v1.0.0

Updated

Jun 21, 2026

Six-hour tethered EEG recordings from wildtype and Syngap+/Δ-GAP heterozygous rats (male, 12-16 weeks old), collected between zeitgeber times 3 and 9 under a 12:12 light-dark cycle. Recordings used a head-mounted 32-channel EEG array with accelerometers, sampled at 1 kHz. Most animals have two recording sessions. The data support study of SYNGAP1-related neurodevelopmental pathophysiology.

Participants

24

Channels

32

Citations

19

Size

107 GB

Version

v1.0.0

Updated

Jun 28, 2026

A code-modulated visual evoked potential (c-VEP) brain-computer interface dataset recorded from 30 healthy participants using 8 EEG electrodes at 512 Hz. Participants fixated on target cells in a 20-symbol grid while all cells flashed pseudo-random modulated Gold codes. The data support comparison of full-calibration, reduced-training and zero-training classification using a reconvolution encoding model.

Participants

30

Channels

8 (10-10)

Citations

66

HED

v8.4.0

Size

3.16 GB

Version

v1.0.5

Updated

Oct 8, 2026

This dataset is Study O of bigP3BCI, a large open collection of P300-based brain-computer interface EEG recordings. It contains 32-channel EEG from 18 participants with ALS, each recorded over two sessions while using a 9x8 character speller with a supervised checkerboard stimulus paradigm. Target and non-target flashes are annotated with HED tags, and the data are formatted for machine learning and benchmarking.

Participants

18

Channels

32 (10-10)

Citations

2

HED

v8.4.0

Size

3.23 GB

Version

v1.0.4

Updated

Oct 8, 2026