on007058
Silent Visual Reading EEG
EEG
…If you use these data in your research, please cite the above…
- Participants
- 10
- Channels
- 63 (10-10)
- Size
- 35.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "data standardization" · page 10 of 10 · ranked by relevance
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- nm000193
Kojima et al. 2024 (Dataset A) — An auditory brain-computer interface based on selective attention to multiple tone streams
EEGThis dataset comprises 64-channel EEG recordings from 11 healthy participants performing an auditory P300-based brain-computer interface task using selective attention to multiple tone streams. Participants attended to one of three auditory streams of musical tones and counted target stimuli while P300 event-related potentials were recorded. Classification using Riemannian geometry achieved >80% accuracy for 5 subjects and >75% for 9 subjects, demonstrating the feasibility of multi-class auditory BCIs based on auditory stream segregation.
- Participants
- 11
- Channels
- 64 (10-10)
- Citations
- 11
- HED
- v8.4.0
- Size
- 6.31 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- nm000110
CHB-MIT
EEG Zarr fidelity issue- Participants
- 24
- Channels
- 23 (other)
- Citations
- 44
- Size
- 42.6 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on004902
A Resting-state EEG Dataset for Sleep Deprivation
BEH EEG…A resting-state EEG dataset for sleep deprivation. Sci Data 11, 427…
- Participants
- 71
- Channels
- 61 (10-10)
- Citations
- 41
- Size
- 8.29 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007753
BCCWJ-EEG
EEG…This dataset is part of BCCWJ-Brain, This dataset is part of…
- Participants
- 41
- Channels
- 64 (10-10)
- Citations
- 1
- Size
- 89.1 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000153
Langer et al. 2017 — Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)
EEG Zarr unverifiable…High-density electroencephalography (EEG) and eye-tracking data were recorded from a…
- Participants
- 111
- Size
- 110 GB
- Version
- v1.0.0
- Updated
- Aug 14, 2026
- on006923
Dataset of Electroencephalograms of Juvenile Offenders
EEG…Demographic and group assignment data - `participants.tsv`: Demographic and group assignment data…
- Participants
- 140
- Channels
- 128 (other)
- Size
- 8.13 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000118
Nakanishi2015 – SSVEP Nakanishi 2015 dataset
EEG Zarr verifiedThis dataset comprises 12-class steady-state visual evoked potential (SSVEP) recordings acquired from 10 healthy subjects using 8 EEG channels during a brain-computer interface task. The data were collected to evaluate and compare canonical correlation analysis (CCA)-based methods for SSVEP detection. The dataset includes preprocessed EEG signals with joint frequency-phase modulated visual stimuli ranging from 9.25 to 14.75 Hz. In the reference study, CCA-based methods achieved 92.78% classification accuracy with an information transfer rate of 91.68 bits/min using a combination approach.
- Participants
- 9
- Channels
- 8 (10-10)
- Citations
- 92
- HED
- v8.4.0
- Size
- 196 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on004196
Bimodal dataset on Inner speech
ANAT EEG FMAP FUNC…Multimodal datasets of brain data enable the fusion of neuroimaging modalities with…
- Participants
- 4
- Channels
- 64 (10-10)
- Citations
- 27
- Size
- 9.33 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000249
BNCI 2022-001 EEG Correlates of Difficulty Level dataset
EEGThis dataset comprises EEG recordings from 13 healthy subjects performing a visuomotor learning task involving simulated drone piloting through waypoints of varying difficulty levels. The study investigates real-time decoding of subjective difficulty from EEG signals to enable adaptive closed-loop learning, comparing algorithmic difficulty adjustment with subject-controlled progression. Data include 1 offline session and 2 online sessions (online_session_2, online_session_3) with preprocessed EEG recordings (64 channels + 3 EOG, 25 central EEG channels retained after preprocessing) sampled at 256 Hz, along with behavioral markers of task performance including waypoint hits/misses and trajectory events.
- Participants
- 13
- Channels
- 64 (10-10)
- Citations
- 26
- HED
- v8.4.0
- Size
- 9.42 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026