nm000241
CerebroVoice: Bilingual sEEG Speech Dataset
iEEG Zarr
…High-gamma activity - BBS: Broadband signal Tasks: Chinese reading, English reading, digit…
- Participants
- 2
- Size
- 1.87 GB
- Version
- v1.0.0
- Updated
- May 4, 2026
Discover datasets
-
- on005574
The "Podcast" ECoG dataset
ANAT iEEG Zarr…preprocessed version in the high-gamma spectral band to showcase a simple…
- Participants
- 9
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- nm000359
Bern-Barcelona EEG database: focal and nonfocal intracranial EEG signal pairs (Andrzejak, Schindler & Rummel 2012)
iEEGThe Bern-Barcelona database contains 7500 pairs of intracranial EEG signals (3750 focal and 3750 non-focal) from five patients with pharmacoresistant temporal lobe epilepsy. Each pair consists of two neighbouring channels, recorded for 20 s at 512 Hz and drawn from seizure-free intervals, and the pairs have been used to study nonrandomness, nonlinear dependence and nonstationarity of EEG. This BIDS release is a lossless repackaging of the original published text files into BrainVision format. Patient identity is not retained, so all runs are pooled under a single pseudo-subject.
- Participants
- 1
- Size
- 1.38 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on005571
Expectation of Conflict Stimuli
ANAT EEG FMAP FUNC Zarr[
- Citations
- 8
- Size
- 63.3 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on004850
ODE
EEG ZarrODE is an EEG dataset formatted according to BIDS with HED annotations, contributed by Johnson, Gordon, Touryan, and King. The available documentation describes it only as a placeholder dataset, so no further details on content or purpose are provided.
- Participants
- 1
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 79.2 MB
- Version
- v1.0.0
- Updated
- May 13, 2026
- on007870
Appleseed Audiobook MEG
MEG Zarr…audio, gammatone feature pickles, and Praat TextGrid annotations - Derivatives: Freesurfer outputs, MNE…
- Participants
- 13
- Citations
- 80
- Size
- 41.6 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026
- nm000339
Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population
EEG ZarrA 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
- on006848
AlphaDirection1: EEG, ECG, PPG in the resting state and working memory for sequentially and simultaneously presented digits
BEH EEG Zarr…Study neural signals, including event-related potentials and oscillations, alongside peripheral physiology…
- Participants
- 30
- Channels
- 63 (10-10)
- Citations
- 3
- Size
- 41.4 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on006253
MetaRDK
iEEG…The data are segmented, and each segment contain high-gamma activity from…
- Participants
- 21
- Citations
- 4
- Size
- 15.8 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- nm000223
Electric light control experiment (15 subjects, 4 classes, 31 EEG ch)
EEG ZarrEEG recordings from 15 healthy participants performing a visual P300 oddball paradigm designed for brain-computer interface control of home appliances, specifically an electric light with four selectable classes. Data were acquired with 31 active EEG channels at 500 Hz while stimuli were flashed on an LCD display, and include training and online testing blocks per subject. The dataset supports development and benchmarking of ERP-based BCIs and inter-subject transfer learning.
- Participants
- 15
- Channels
- 31 (10-10)
- Citations
- 8
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.4
- Updated
- Oct 8, 2026