on005931
Visuomotor_task
iEEG Zarr
…Subjects were epilepsy patients undergoing intracranial monitoring for localization of epileptic seizures…
- Participants
- 8
- Size
- 818 MB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
Discover datasets
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- on002094
Single-pulse open-loop TMS-EEG dataset
EEG ZarrA single-pulse, open-loop transcranial magnetic stimulation (TMS) dataset with simultaneous electroencephalography (EEG) recordings. The dataset is organized in BIDS format and mirrored on NEMAR from OpenNeuro (ds002094).
- Participants
- 20
- Channels
- 30 (10-10)
- Size
- 39.4 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- on007629
ROAMM
BEH EEG ZarrROAMM (Reading Observed At Mindless Moments) is a multimodal dataset of simultaneous EEG and eye-tracking recordings from 44 participants during naturalistic reading, with span-level mind-wandering annotations collected through a retrospective self-report paradigm. It serves as a benchmark for mind-wandering detection and EEG-to-text decoding, and supports research on how attention lapses degrade language decoding from brain activity. Synchronized machine-learning-ready data, reading stimuli and page-level comprehension scores are included.
- Participants
- 1
- Channels
- 64 (10-10)
- Size
- 46.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- on004473
sEEG Forced Two-Choice Task
ANAT BEH iEEG Zarr fidelity issue…task collected in the epilepsy monitoring unit at Oregon Health & Science University…
- Participants
- 8
- Citations
- 6
- Size
- 14.5 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- nm000270
Liu et al. 2025 — Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients (Tianjin University)
EEG Zarr…It was collected with a multi-paradigm protocol and a longitudinal (repeated…
- Participants
- 27
- Channels
- 64 (10-10)
- Citations
- 27
- HED
- v8.4.0
- Size
- 56.7 GB
- Version
- v1.0.5
- Updated
- Aug 20, 2026
- nm000380
iEEG during direct electrical stimulation of orbitofrontal and other sites (Rao, Sellers et al., 2018): continuous-stimulation and single-pulse recordings
iEEG…names, long names, electrode type and region from the release (selectAnatomy / Anatomy…
- Participants
- 17
- Size
- 72.8 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000200
BigP3BCI Study I — 9x8 checkerboard/performance-based (13 healthy subjects)
EEG ZarrThis dataset contains EEG recordings from 13 healthy participants in Study I of the bigP3BCI collection. Participants used a P300-based speller with a 9x8 checkerboard character grid and a performance-based paradigm. Data were recorded from 16 channels at 256 Hz and are annotated with target and non-target stimulus events using HED. The dataset is a BIDS-formatted derivative of the PhysioNet bigP3BCI release, prepared for BCI benchmarking.
- Participants
- 13
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 1.57 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000340
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study J)
EEG ZarrStudy J of the bigP3BCI collection, which provides EEG recordings from 20 healthy participants using a P300-based speller. The task used a 9x8 character grid with a performance-based row-column paradigm, and 16 EEG channels were recorded at 256 Hz. Target and non-target flash events are annotated with HED tags, and the dataset supports machine-learning benchmarking of P300 brain-computer interfaces.
- Participants
- 20
- Channels
- 16 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 1.49 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on001785
Evidence accumulation relates to perceptual consciousness and monitoring
EEG iEEG Zarr…Evidence accumulation relates to perceptual consciousness and monitoring, 2021, Nature Communications Participants…
- Participants
- 19
- Channels
- 69 (10-10)
- Size
- 27.9 GB
- Version
- v1.0.0
- Updated
- Jun 20, 2026
- on003555
Dataset of EEG recordings of pediatric patients with epilepsy based on the 10-20 system
EEGScalp EEG recordings from 30 children and adolescents with focal or generalized epilepsy, acquired with the 10-20 system. The first three hours of sleep EEG were recorded, and 5-minute N3 sleep intervals were extracted and bipolar referenced. An automated, clinically validated detector was used to mark high-frequency oscillations (ripples, 80-250 Hz), which are candidate non-invasive biomarkers of epileptogenicity, so that age effects on ripple rates in pediatric epilepsy can be studied.
- Participants
- 30
- Channels
- 23 (10-20)
- Citations
- 5
- Size
- 28.3 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026