Discover datasets

This dataset contains behavioral events and intracranial EEG recordings from a delayed free recall task in which participants studied visually presented word lists, completed arithmetic distractor problems, and then freely recalled the words. Open-loop electrical stimulation was delivered during encoding to single electrodes in the hippocampus and entorhinal cortex, on alternating two-word blocks in 20 of 25 lists per session. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

38

Size

64.9 GB

Version

v1.0.0

Updated

Jun 27, 2026

This dataset contains 32-channel EEG recorded from 22 healthy participants performing visual imagery of ten cued items: animals (dog, bird, fish), geometric figures (pentagram, square, circle), and objects (scissor, watch, cup, chair). Each participant completed up to two sessions of three runs, giving 16,800 trials in total. It is intended for developing visual imagery-based brain-computer interfaces and is distributed in BIDS format with HED event annotations.

Participants

22

Channels

32 (10-10)

Citations

3

HED

v8.4.0

Size

75.4 GB

Version

v1.0.3

Updated

Aug 20, 2026

…volume computed from non-defaced input (face visible, eye check); 216 x…

Participants

30

Size

214 GB

Version

v1.0.0

Updated

Oct 13, 2026

EEG recordings from 24 healthy participants performing a visual oddball (P300) event-related potential paradigm during mobile conditions: standing, walking, and running. Data were acquired with scalp and ear-EEG systems (73 channels, plus EOG) across five sessions per participant. This is a BIDS-formatted derivative of the Mobile BCI dataset, intended for benchmarking brain-computer interface decoding under locomotion.

Participants

24

Channels

48 (10-10)

Citations

36

HED

v8.4.0

Size

8.08 GB

Version

v1.0.3

Updated

Oct 8, 2026

A large, longitudinal EEG dataset collected while 62 healthy adults learned to control a sensorimotor rhythm-based brain-computer interface. Participants completed 7-11 online training sessions of continuous cursor control using motor imagery of the left hand, right hand, both hands, and rest. In total the dataset comprises 598 sessions and over 250,000 trials, offering a resource for designing and evaluating BCI algorithms and for studying BCI learning.

Participants

62

Channels

60 (10-10)

Citations

63

HED

v8.4.0

Size

722 GB

Version

v1.0.4

Updated

Aug 18, 2026

Intracranial EEG (stereo-EEG) recordings from 22 patients with drug-resistant epilepsy undergoing presurgical evaluation, capturing responses to 115 high-frequency intracranial electrical stimulations that evoked visual hallucinations. Each recording spans 21 seconds around the stimulation, with events annotated by stimulated contact pair, current intensity, and evoked effect, classified into 14 clinical categories. The data support identification of brain networks underlying visual symptoms and creation of symptom-related activation and connectivity maps.

Participants

20

Size

4.03 GB

Version

v1.0.0

Updated

Jun 26, 2026

EEG recordings from elderly participants with dementia during auditory gamma entrainment. The stimulus was a 5 kHz carrier tone amplitude-modulated with a 40 Hz pulse train, presented in alternating stimulation and silence blocks. The dataset also includes a one-minute eyes-open resting-state recording. It is intended for investigating how 40 Hz auditory stimulation affects brain oscillations in Alzheimer's disease and related dementia.

Participants

13

Channels

19 (10-20)

Size

364 MB

Version

v1.0.0

Updated

May 5, 2026

EEG dataset from a single healthy young adult examining how auditory, visual, and combined audio-visual stimulation entrain gamma-band brain oscillations. Gamma entrainment has been proposed as a therapeutic approach for Alzheimer's disease symptoms. The session consists of three 40-second stimulation epochs, using a 40 Hz amplitude-modulated auditory tone, a 20 Hz LED flicker, and both together.

Participants

1

Channels

19 (10-20)

Size

17.0 MB

Version

v1.0.0

Updated

Jun 22, 2026

A multi-modal dataset of 32-channel dry-electrode EEG recorded together with Virtual Glove hand-kinematic tracking during motor imagery and motor execution of three right-hand movements (open/close, wrist rotation, finger tapping). Eleven healthy participants completed a rest, motor imagery, motor execution sequence with eight repetitions of the triplet. This BIDS re-release was produced via MOABB from the published MOVING dataset.

Participants

11

Channels

32 (10-10)

HED

v8.4.0

Size

411 MB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from 16 healthy, BCI-naive participants using a motion visually evoked potential (mVEP) speller for gaze-independent communication. Three speller variants were compared: Overt Cake Speller, Covert Cake Speller, and Motion Center Speller. Each used a two-level selection among 30 symbols. The dataset includes practice, calibration, copy-spelling and free-spelling sessions with target and non-target events, recorded from 63 channels. It is a preprocessed derivative distributed in BIDS format.

Participants

16

Channels

63 (10-10)

Citations

46

HED

v8.4.0

Size

3.79 GB

Version

v1.0.3

Updated

Oct 8, 2026