on007655
MorseEEG-ATP
BEH EEG Zarr
…It may also be useful for benchmarking EEG analysis and neural decoding…
- Participants
- 32
- Channels
- 62 (10-10)
- Size
- 14.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
Discover datasets
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- nm000351
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study P)
EEG ZarrStudy P of the bigP3BCI collection, an open, machine-learning-ready P300-based brain-computer interface dataset. It contains 32-channel EEG recorded at 256 Hz from 19 participants with ALS, each over two sessions, while they used a 9x8 character grid speller with predictive and non-predictive spelling paradigms. Target and non-target flash events are annotated with HED tags, and the data are reformatted from the original PhysioNet release into BIDS.
- Participants
- 19
- Channels
- 32 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 4.96 GB
- Version
- v1.0.4
- Updated
- Oct 8, 2026
- on005779
Real-time personalized brain state-dependent TMS in healthy adults
EEG Zarr…https://github.com/SMNPLab/Realtime_decoding_neurotypical.git This work was funded…
- Participants
- 19
- Channels
- 70 (10-10)
- Size
- 88.7 GB
- Version
- v1.0.0
- Updated
- Jun 18, 2026
- nm000293
MOVING2024: Motor imagery / motor execution dataset from the MOVING study
EEGA multi-modal dataset of 32-channel dry-electrode EEG recorded together with Virtual Glove hand-kinematic tracking during motor imagery and motor execution of three right-hand movements (open/close, wrist rotation, finger tapping). Eleven healthy participants completed a rest, motor imagery, motor execution sequence with eight repetitions of the triplet. This BIDS re-release was produced via MOABB from the published MOVING dataset.
- Participants
- 11
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 411 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on004306
EEG Semantic Imagination and Perception Dataset
EEG Zarr[
- Citations
- 2
- Size
- 79.1 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- nm000142
Ear-EEG motor execution dataset from Wu et al 2020
EEG ZarrThis dataset contains simultaneous scalp and ear-EEG recordings from six healthy right-handed participants performing cued left- and right-hand fist clenching (motor execution). It comprises 1114 trials recorded at 1000 Hz with a Neuroscan SynAmps2 amplifier. The data support evaluation of in-ear sensing for motor task classification and brain-computer interface research. This BIDS version was generated with MOABB from the original Zenodo deposit.
- Participants
- 6
- Channels
- 122 (10-05)
- Citations
- 12
- HED
- v8.4.0
- Size
- 18.4 GB
- Version
- v1.0.3
- Updated
- Aug 20, 2026
- on006317
Chisco-2.0
EEG Zarr[
- Size
- 52.9 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on005028
Comparing P300 Flashing paradigms in online typing with language models
EEG ZarrEEG recordings from a P300 speller brain-computer interface study comparing flashing paradigms for online typing with language model support. The dataset was collected with BCI2000 to evaluate typing performance across different stimulus presentation schemes. It supports research on P300-based communication interfaces.
- Participants
- 11
- Citations
- 1
- Size
- 1.46 GB
- Version
- v1.0.0
- Updated
- May 13, 2026
- nm000237
7-day motor imagery BCI EEG dataset from Zhou et al 2021
EEG Zarr…Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across…
- Participants
- 20
- Channels
- 41 (other)
- Citations
- 16
- HED
- v8.4.0
- Size
- 93.1 GB
- Version
- v1.0.3
- Updated
- Aug 20, 2026
- nm000342
Castillos et al. 2023, m-sequence c-VEP, 40% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience
EEG Zarr…sliding windows, bitwise decoding Cross-Validation ---------------- Evaluation type: offline Performance (Original Study…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 19
- HED
- v8.4.0
- Size
- 340 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026