on007827
Loneliness EEG - Roving Oddball Task
BEH EEG Zarr
…Face stimuli were selected from the FACES database, and preprocessed using webmorphR…
- Participants
- 99
- Channels
- 72 (10-10)
- Size
- 72.1 GB
- Version
- v1.0.0
- Updated
- May 27, 2026
Discover datasets
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- nm000269
BigP3BCI Study A — P300 BCI EEG dataset (13 healthy subjects, Mainsah et al. 2025)
EEG ZarrA derivative P300 brain-computer interface EEG dataset from 13 healthy subjects (one session each) performing a visual speller task with a 6x6 checkerboard stimulus paradigm. It contains 32-channel recordings sampled at 256 Hz with binary target/non-target event labels annotated using HED 8.4.0. It is Study A of the BigP3BCI collection and was processed and converted to BIDS with the MOABB framework.
- Participants
- 13
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 3.86 GB
- Version
- v1.0.4
- Updated
- Oct 8, 2026
- on004621
The Nencki-Symfonia EEG/ERP dataset
EEG Zarr…sample of healthy adults" GigaScience Database, 2022. http://doi.org/10.5524…
- Participants
- 42
- Channels
- 127 (10-05)
- Citations
- 12
- Size
- 77.4 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- on002181
CRYPTO and PROVIDE EEG Baseline Data
EEGBaseline EEG recordings from Bangladeshi children collected as part of the CRYPTO and PROVIDE studies. The dataset includes a cohort of 36-month-old toddlers and a cohort of 6-month-old infants who watched screen savers for 2 minutes. It was used to examine the association between stunting and EEG-derived brain functional connectivity in children exposed to early adversity.
- Participants
- 226
- Channels
- 124 (egi-geodesic)
- Citations
- 53
- Size
- 151 MB
- Version
- v1.0.0
- Updated
- May 13, 2026
- on003190
Assesment of the visual stimuli properties in P300 paradigm
EEG Zarr…The database consists of a total of 382 electroencephalographic files from 19…
- Participants
- 19
- Channels
- 9 (10-10)
- Citations
- 1
- Size
- 1.27 GB
- Version
- v1.0.0
- Updated
- May 13, 2026
- on004855
FT
EEG ZarrA placeholder EEG dataset named FT, formatted according to BIDS with HED annotations. The README provides no further information about the experimental paradigm, participants, or recording setup. The dataset is a NEMAR-hosted copy of an OpenNeuro deposit.
- Participants
- 1
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 79.2 MB
- Version
- v1.0.0
- Updated
- May 13, 2026
- nm000121
Oikonomou2016 – SSVEP MAMEM 3 dataset
EEG Zarr…MAMEM Steady State Visually Evoked Potential EEG Database `<https://archive.physionet.org…
- Participants
- 11
- Channels
- 14 (10-10)
- Citations
- 35
- HED
- v8.4.0
- Size
- 277 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000119
Oikonomou2016 – SSVEP MAMEM 1 dataset
EEG Zarr…MAMEM Steady State Visually Evoked Potential EEG Database `<https://archive.physionet.org…
- Participants
- 11
- Channels
- 256 (egi-geodesic)
- Citations
- 40
- HED
- v8.4.0
- Size
- 11.4 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000120
Oikonomou2016 – SSVEP MAMEM 2 dataset
EEG Zarr…MAMEM Steady State Visually Evoked Potential EEG Database `<https://archive.physionet.org…
- Participants
- 11
- Channels
- 256 (egi-geodesic)
- Citations
- 37
- HED
- v8.4.0
- Size
- 9.72 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000207
Kojima et al. 2024 (Dataset B) — Four-class ASME BCI: investigation of the feasibility and comparison of two strategies for multiclassing
EEG ZarrEEG dataset of 15 healthy participants performing a four-class auditory stream segregation multiclass ERP (ASME) brain-computer interface task. Two strategies for achieving four classes were compared: ASME-4stream (four streams, one target stimulus each) and ASME-2stream (two streams, two target stimuli each). P300 responses, binary classification and offline BCI simulation with linear discriminant analysis showed average accuracies of 0.83 and 0.86, respectively. NASA-TLX workload ratings were also collected.
- Participants
- 15
- Channels
- 64 (10-10)
- Citations
- 5
- HED
- v8.4.0
- Size
- 23.5 GB
- Version
- v1.0.5
- Updated
- Oct 8, 2026