on004657
Driving with Autonomous Aids
EEG
…mitigate the effects of human error. However, simply implementing autonomy without having…
- Participants
- 24
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 43.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "error-related potentials" · page 10 of 10 · ranked by relevance
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- on004120
BCIT Baseline Driving
EEG…can be analyzed for fatigue-related EEG biomarkers based on measured driving…
- Participants
- 109
- Channels
- 64 (10-10)
- Citations
- 30
- HED
- v8.0.0
- Size
- 302 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000351
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study P)
EEGBigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with target and non-target visual stimuli annotated using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is optimized for machine learning applications in BCI research.
- Participants
- 19
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 4.96 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000196
c-VEP dataset from Thielen et al. (2015)
EEG…Brain-Computer Interface, BCI, Broad-Band Visually Evoked Potentials, BBVEP, Gold codes…
- Participants
- 12
- Channels
- 64 (10-10)
- Citations
- 72
- HED
- v8.4.0
- Size
- 11.0 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on006525
Resting EEG
ANAT EEGThis dataset contains resting-state EEG recordings collected using a 128-channel Amps 300 amplifier at the University of Oklahoma, alongside structural MRI scans acquired from the same participants. The data support investigation of whole-brain electrophysiological functional connectivity dynamics during resting-state conditions.
- Participants
- 34
- Channels
- 128 (other)
- Size
- 3.00 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006370
Memory Reactivation Levels Remain Unaffected by Anticipated Interference Experiment 2 Dataset
EEGThis dataset contains EEG recordings from Experiment 2 of a study investigating memory reactivation under anticipated interference, using a working memory task with lateralized visual objects and dual-task distractor manipulations. Participants memorized cued objects, performed a secondary distractor identification task in some blocks, and were subsequently tested on their memory via a two-alternative forced-choice probe. The dataset is intended to examine how anticipated interference affects neural memory reactivation processes.
- Participants
- 56
- Channels
- 30 (10-10)
- Size
- 40.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on001849
RS_TMSEEG_Data
EEG[
- Size
- 44.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000190
BNCI 2015-012 PASS2D P300 dataset
EEG…interfaces (BCIs) based on event related potentials (ERPs) strive for offering communication…
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 84
- HED
- v8.4.0
- Size
- 7.62 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on002680
Go-nogo categorization and detection task
EEG[
- Size
- 9.22 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004774
Automatic Evoked Response Detection (ER-Detect) dataset
iEEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004774-blue…
- Participants
- 14
- Citations
- 1
- Size
- 30.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026