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on003374
Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation

iEEG Zarr

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

by Tommaso Fedele et al. OpenNeuro ds003374
nm000336
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study R)

EEG Zarr

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

by Boyla Mainsah et al.
on004841
TX14

EEG Zarr

TX14 is an EEG dataset collected while participants performed a local situational awareness task and simultaneously maintained supervisory control of a semi-autonomous vehicle. It addresses the shift of the soldier's role from active controller to system monitor and manager in autonomous military systems. The dataset supports study of trade-offs between local area awareness (target/threat detection) and vehicle control, informing dynamic task allocation in crewstations.

Participants

20

Channels

64 (10-10)

HED

v8.1.0

Size

7.31 GB

Version

v1.0.0

Updated

Jun 25, 2026

by Gabriella Larkin et al. OpenNeuro ds004841
nm000371
Dataset of Speech Production in intracranial Electroencephalography (SingleWordProductionDutch-iBIDS)

iEEG

Stereo-EEG recordings from 10 Dutch-speaking patients with pharmaco-resistant epilepsy who read aloud 100 Dutch words presented one at a time on a laptop screen. Intracranial EEG (1103 recorded contacts spanning cortical and subcortical structures) was recorded simultaneously with the participants' pitch-shifted speech audio. The dataset supports research on speech production and speech decoding for brain-computer interfaces, and includes electrode localisations and FreeSurfer derivatives.

Participants

10

Size

9.20 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Maxime Verwoert et al.
nm000115
Zhou2016

EEG Zarr

EEG recordings from four participants performing motor imagery of the left hand, right hand, and feet, originally reported by Zhou et al. (2016) in a study on automated trial selection for motor imagery brain-computer interfaces. Each participant completed three sessions of two runs, giving 450 trials per subject. Data were recorded from 14 channels at 250 Hz and reformatted into BIDS from a MOABB-generated Zenodo version.

Participants

4

Channels

14 (10-10)

Citations

87

Size

152 MB

Version

v1.0.0

Updated

Mar 3, 2026

by Bangyan Zhou et al.
on002338
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP2

ANAT EEG FUNC Zarr

This dataset contains simultaneous 64-channel EEG and fMRI recordings from 16 participants performing right-hand motor imagery with bimodal EEG-fMRI neurofeedback (experiment XP2). Participants were randomly assigned to receive either a mono-dimensional or a bi-dimensional feedback display. It includes raw and preprocessed EEG, BOLD fMRI, and EEG and BOLD neurofeedback scores, supporting multi-modal data integration research. It is designed to be combined with the companion XP1 dataset.

Participants

17

Size

25.9 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Giulia Lioi et al. OpenNeuro ds002338
nm000125
Lee2021 – SSVEP paradigm of the Mobile BCI dataset

EEG Zarr

This dataset contains the steady-state visual evoked potential (SSVEP) paradigm of the Mobile BCI dataset from Lee et al. (2021). It provides scalp EEG and EOG recordings from healthy participants who viewed visual flickers at 5.45, 8.57, and 12 Hz while standing, walking, and running on a treadmill. It supports research on brain-computer interface decoding during locomotion.

Participants

23

Channels

73 (other)

Citations

36

HED

v8.4.0

Size

1.31 GB

Version

v1.0.2

Updated

Aug 18, 2026

by Young-Eun Lee et al.
nm000231
P300 dataset from Hoffmann et al 2008

EEG Zarr

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

by Ulrich Hoffmann et al.