Discover datasets

Electrophysiological dataset recorded from the amygdalae of nine epilepsy patients undergoing preoperative invasive monitoring in the mesial temporal lobe. Participants viewed dynamic visual sequences of fearful faces (aversive condition) interleaved with neutral landscapes (neutral condition). The dataset provides intracranial EEG in BIDS format, together with neuronal spike times and waveforms in NIX format, enabling study of amygdalar responses to aversive stimuli from macroscopic field potentials to single-neuron firing.

Participants

9

Citations

24

Size

297 MB

Version

v1.0.0

Updated

Jun 21, 2026

EEG recordings from 13 carefully screened participants who each completed two sessions on different days. Each session alternated 5-minute blocks of trance channeling and resting state, with three periods per condition. The dataset supports investigation of neural activity during trance channeling compared with rest.

Participants

13

Channels

64 (10-10)

Size

11.6 GB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset contains behavioral events and electrophysiological (EEG) recordings from a hybrid spatial-navigation and free recall experiment in which participants act as couriers delivering items to stores in a virtual town and later recall their deliveries. Sessions were either read-only, used to collect training data, or closed-loop, in which classifier predictions of memory encoding were used to time stimulus presentation. It represents the non-invasive portion of a project aimed at improving memory through closed-loop stimulus timing optimization.

Participants

34

Channels

128 (biosemi)

Citations

6

Size

1.30 TB

Version

v1.0.0

Updated

Jun 25, 2026

Intraoperative EEG recordings of somatosensory evoked potentials (SEP) elicited by median and tibial nerve stimulation at eight different stimulus repetition rates. The dataset includes 14 adult and 4 pediatric subjects, with continuous EEG split into sessions by nerve and side and into runs by stimulation rate. Processed derivatives are also provided. The data were used to assess how stimulation rate affects the signal-to-noise ratio of short-duration SEP recordings.

Participants

18

Channels

4 (other)

Citations

5

Size

12.4 GB

Version

v1.0.0

Updated

Jun 24, 2026

M3CV is a multi-subject, multi-session, multi-task EEG database with 64-channel recordings from 95 healthy young adults. Each subject was recorded on two different days across six paradigms covering 13 distributed signal types: resting states, motor execution, transient visual, auditory and somatosensory responses, SSVEP, P300, SSAEP and SSSEP. The data were originally released for an EEG-based biometrics competition on Kaggle. This BIDS version reconstructs pseudo-continuous EEG from the distributed pre-epoched, preprocessed 250 Hz files.

Participants

95

Channels

64 (10-10)

Citations

31

Size

21.6 GB

Version

v1.0.0

Updated

May 11, 2026

Derivative stereo-EEG dataset of high-frequency activity (HFA, 70-150 Hz) recorded from six patients with depth electrodes performing an approach-avoidance decision task. It supports analysis of the differential contributions of medial and lateral orbitofrontal cortex to decision-making under conflict. The data are the authors' processed HFA, epoched per trial and aligned to trial onset and decision, and are accompanied by per-trial behavioural data and artifact-review labels.

Participants

6

Size

11.3 GB

Version

v1.0.0

Updated

Oct 8, 2026