nm000146
Motor Imagery dataset from Weibo et al 2014
EEG
- Participants
- 10
- Channels
- 60 (10-10)
- HED
- v8.4.0
- Size
- 1.60 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "time-domain features" · page 5 of 10 · ranked by relevance
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- on005574
The "Podcast" ECoG dataset
ANAT iEEG…word-level transcript, and linguistic features ranging from low-level acoustic properties…
- Participants
- 9
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications
EEGThis dataset comprises multi-session, multi-task EEG recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. The dataset is in raw, unpreprocessed state and has been formatted according to BIDS standards for accessibility and reproducibility.
- Participants
- 15
- Channels
- 61 (10-10)
- Citations
- 59
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on005346
Naturalistic fMRI and MEG recordings during viewing of a reality TV show
ANAT FUNC MEG…Participants responded using a button press, with a maximum response time of…
- Participants
- 60
- Size
- 112 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004018
EEG recordings for 200 object images presented in RSVP sequences at 5Hz or 20Hz
EEGImported from OpenNeuro ds004018
- Participants
- 16
- Citations
- 97
- Size
- 10.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005557
Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG…Stimulation is delivered to a single electrode at a time, and the…
- Participants
- 18
- Size
- 34.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000301
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study D)
EEGBigP3BCI Study D is a P300-based brain-computer interface dataset comprising EEG recordings from 17 healthy subjects performing a 6x6 character grid speller task using dynamic row-column stimulus presentation. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 electrode montage, annotated with target and non-target event labels using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is designed for machine learning model development and benchmarking in brain-computer interface research.
- Participants
- 17
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 731 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000220
BEETL Competition 2021 Motor Imagery Dataset A — transfer learning benchmark
EEG…for evaluating transfer learning and domain adaptation methods across heterogeneous EEG datasets…
- Participants
- 3
- Channels
- 63 (10-10)
- HED
- v8.4.0
- Size
- 216 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on004362
EEG Motor Movement/Imagery Dataset
EEGImported from OpenNeuro ds004362
- Participants
- 109
- Channels
- 64 (10-10)
- Citations
- 95
- HED
- v8.1.0
- Size
- 11.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004010
MAVIS
EEG…of sensory stimuli with distinct features. Participants detected targets in simultaneous audio…
- Participants
- 24
- Channels
- 64 (10-10)
- Size
- 23.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026