nm000104
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
EMG
NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection
- Participants
- 108
- Size
- 223 GB
- Version
- vv2.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "seizure annotation" · page 8 of 10 · ranked by relevance
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- nm000178
BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset
EEGThis dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
- Participants
- 45
- Channels
- 58 (10-05)
- HED
- v8.4.0
- Size
- 2.08 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on007688
The Temporal Sequence of Party Leader Incongruence
EEG…io/xrtcy/overview 3. **Event Annotations**: Trial-by-trial logs including stimulus…
- Participants
- 44
- Channels
- 65
- Size
- 13.3 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on003768
Simultaneous EEG and fMRI signals during sleep from humans
ANAT EEG FUNC[
EEGThis EEG dataset contains neural recordings from 34 participants performing a visual object recognition task using a curated stimulus set of 242 images (121 challenge and 121 control images). Participants viewed sequences of 14 images presented for 200 ms each with 100 ms interstimulus intervals and performed a detection task. The dataset includes time-resolved decoding analyses examining adaptive recruitment of cortical recurrence mechanisms during visual object recognition.
- Participants
- 34
- Channels
- 63 (10-10)
- Size
- 59.6 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004865
pyFR: Delayed Free Recall of Word Lists, Preliminary Cognitive Electrophysiology Study
BEH iEEG…available, along with brain region annotations. * Recordings were made on multiple different…
- Participants
- 49
- Size
- 97.8 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
BEH EEGThis multimodal dataset comprises simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adult participants during two experimental conditions: naturalistic smartphone interaction and standardized video viewing. Hardware-based TTL synchronization enables precise temporal alignment across all physiological modalities, facilitating investigation of neural and physiological responses to digital device interaction.
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 6.12 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004851
HID
EEGThe HID dataset is a neuroimaging collection of intracranial electroencephalography (iEEG) recordings curated and formatted according to BIDS standards (version 1.8.0). This dataset is derived from OpenNeuro dataset ds004851 (DOI: 10.18112/openneuro.ds004851.v2.1.0) and serves as a resource for neuroscience research on electrophysiological brain activity. The dataset is made available under the CC0 license to facilitate open science and data sharing. It contains iEEG recordings with associated metadata documenting electrode placement, recording parameters, sampling rates, and brain regions of interest.
- Participants
- 66
- Channels
- 72 (10-10)
- Size
- 56.6 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004408
EEG responses to continuous naturalistic speech
EEG[
- Size
- 18.7 GB
- Version
- vv1.0.0
- Updated
- Jul 22, 2026