Discover datasets

Intracranial EEG (iEEG) recordings used to evaluate a flexible, scalable, high-channel-count micro-stereo-electrode for recording neural activity in the brain. The dataset includes raw and preprocessed (epoched) recordings from multiple species, including human patients, non-human primates, pigs and rodents. Direct electrical stimulation was used to examine the effects of stimulation on brain activity. Data are organized in iEEG-BIDS format, with binary files and channel maps in the derivatives folder.

Participants

1

Citations

3

Size

1.36 GB

Version

v1.0.0

Updated

Jun 25, 2026

EEG recordings from 9 healthy, BCI-naive participants performing two-class motor imagery (left vs. right hand), originally released as BCI Competition 2008 (IV) Graz data set B (Dataset 2b). Each participant completed five sessions: two screening sessions without feedback and three sessions with smiley visual feedback. Three bipolar EEG channels (C3, Cz, C4) and three EOG channels were recorded at 250 Hz.

Participants

1

Channels

3 (10-20)

Citations

83

HED

v8.4.0

Size

478 MB

Version

v1.0.3

Updated

Oct 8, 2026

The MNE-Sample-Data dataset is a simultaneous MEG and 60-channel EEG recording with an accompanying structural MRI, distributed with the MNE software. Checkerboard patterns were presented to the left and right visual fields, interleaved with tones to the left or right ear, and the subject responded to occasional smiley faces. It serves as a standard example dataset for demonstrating MEG/EEG analysis workflows, and FreeSurfer-derived anatomical surfaces are included.

Participants

2

Size

1.93 GB

Version

v1.0.0

Updated

Jun 20, 2026

A sample intracranial EEG (iEEG) dataset prepared for the WIRED ICM course on intracranial recordings in humans, epilepsy, and deep brain stimulation (Paris, March 2024). It contains recordings from patients with epilepsy during naturalistic listening tasks (movie trailers and TIMIT sentences). It also includes illustrative examples of seizure-related activity and vagus nerve stimulator artifact.

Participants

3

Size

348 MB

Version

v1.0.0

Updated

Jun 26, 2026

This dataset provides simultaneous EEG and fNIRS recordings from 12 participants performing a silent naming task and three sensory-based imagery tasks (visual, auditory, tactile) on objects from the semantic categories of animals and tools. It supports research on semantic decoding and brain-computer interfacing. Stimulus images and example Python scripts for loading the data with MNE and MNE-BIDS are included.

Participants

12

Channels

64 (biosemi)

Citations

11

Size

24.2 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG dataset recorded with a Biosemi system from participants receiving laser stimulation to elicit pain. After the laser intensity was calibrated to an average rating of about 7 on a 0-10 scale, each participant received 16 fixed-intensity laser stimuli roughly 20 seconds apart and rated the pain intensity after each one. The dataset supports research on pain perception and laser-evoked brain responses.

Participants

26

Channels

64 (10-10)

Size

4.42 GB

Version

v1.0.0

Updated

Jun 18, 2026

EEG dataset titled 'what_are_we_talking_about', authored by Boncz, Toth, and Winkler. It is a BIDS-formatted raw EEG dataset mirrored on NEMAR from OpenNeuro (ds004075). The README provides little detail on the experimental paradigm.

Participants

29

Size

7.39 GB

Version

v1.0.0

Updated

Jun 23, 2026

EEG recordings from 12 healthy, BCI-naive participants performing two-class motor imagery (sustained right-hand palmar grip versus both-feet plantar extension) across two sessions, with 200 trials per session. Data were recorded from 13 sensorimotor channels at 512 Hz with visual cursor feedback, in support of an autocalibrating, recurrently adapting online ERD-based brain-computer interface. The dataset is distributed in BIDS format via MOABB.

Participants

12

Channels

13 (10-10)

Citations

94

HED

v8.4.0

Size

2.83 GB

Version

v1.0.2

Updated

Aug 18, 2026

EEG recordings from eight participants, four with severe motor disabilities and four able-bodied, performing a P300-based brain-computer interface task for environment control. Participants silently counted flashes of a prescribed target image among six household-item images (television, telephone, lamp, door, window, radio) shown in random sequences. Data were recorded in four sessions of six runs each with a 32-channel Biosemi ActiveTwo system.

Participants

8

Channels

32 (10-10)

Citations

81

HED

v8.4.0

Size

4.08 GB

Version

v1.0.3

Updated

Oct 8, 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