nm000214
c-VEP dataset from Thielen et al. (2021)
EEG
…Moreover, with data from only one class or even no data at…
- Participants
- 30
- Channels
- 8 (10-10)
- Citations
- 66
- HED
- v8.4.0
- Size
- 3.16 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
Discover datasets
100 results for "workshop data" · page 7 of 10 · ranked by relevance
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- nm000257
Imagined speech EEG dataset — short words condition (Nguyen et al. 2017)
EEG…The original data and license terms apply — see `dataset_description.json` for…
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 98
- HED
- v8.4.0
- Size
- 1.90 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000261
Imagined speech EEG dataset — vowels condition (Nguyen et al. 2017)
EEG…The original data and license terms apply — see `dataset_description.json` for…
- Participants
- 8
- Channels
- 60 (10-10)
- Citations
- 96
- HED
- v8.4.0
- Size
- 2.58 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000237
7-day motor imagery BCI EEG dataset from Zhou et al 2021
EEGThis dataset contains EEG recordings from 20 healthy participants performing a 7-day longitudinal motor imagery brain-computer interface (BCI) task without feedback. Each subject completed 7 sessions of 6 runs, imagining left hand, right hand, feet, and rest movements, yielding 33,600 trials in total. The dataset was converted to BIDS format from the original study by Zhou et al. (2021) examining the relationship between relative power and motor imagery decoding performance across time and subjects.
- Participants
- 20
- Channels
- 41 (other)
- Citations
- 15
- HED
- v8.4.0
- Size
- 93.1 GB
- Version
- v1.0.3
- Updated
- Aug 20, 2026
- nm000160
Multi-joint upper-limb MI dataset from Yi et al. 2025
EEG Zarr verifiedA multi-joint upper-limb motor imagery EEG dataset comprising 18 healthy subjects performing eight distinct imagery tasks involving hand, wrist, elbow, and shoulder movements. The dataset contains 320 trials per subject acquired at 1000 Hz using 62-channel EEG with visual cue-based paradigm, designed for brain-computer interface research and motor rehabilitation applications.
- Participants
- 18
- Channels
- 62 (10-10)
- Citations
- 4
- HED
- v8.4.0
- Size
- 50.0 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on006377
InclusionStudy
NIRSThis dataset quantifies the impact of hair and skin characteristics on functional near-infrared spectroscopy (fNIRS) signal quality, with a focus on enhancing inclusivity in neuroimaging research. The study examines how individual physiological variations affect fNIRS measurements across diverse participant populations, providing empirical evidence for optimizing signal acquisition and preprocessing in this neuroimaging modality.
- Participants
- 115
- Size
- 1.38 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000252
Imagined speech EEG dataset — long words condition (Nguyen et al. 2017)
EEG…The original data and license terms apply — see `dataset_description.json` for…
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 97
- HED
- v8.4.0
- Size
- 1.27 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000233
BCI Competition 2020 Track 4 — Upper-limb grasping motor imagery
EEG…The dataset contains 60-channel EEG data sampled at 250 Hz with…
- Participants
- 14
- Channels
- 60 (10-10)
- Citations
- 73
- HED
- v8.4.0
- Size
- 2.76 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000147
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 4
BEH EEGThe Brain, Body, and Behaviour Dataset (Experiment 4) is a multimodal neurophysiological dataset comprising simultaneous recordings of EEG, eye-tracking, cardiac, respiratory, and electrooculographic signals from 43 subjects across two sessions. Participants watched three educational videos (Stim-04, Stim-05, Stim-06) under two attention conditions. In Session 1 (attentive condition), participants viewed the videos and answered comprehension questions afterward. In Session 2 (distracted condition), participants viewed the same three videos in the same order while performing a concurrent backward counting task, with no comprehension testing. This derivative dataset supports investigation of neural and behavioral correlates of attention, learning, and cognitive load during naturalistic video viewing.
- Citations
- 4
- Size
- 5.12 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000270
Liu et al. 2025 — Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients (Tianjin University)
EEG…The BIDS conversion in this NEMAR record contains EEG data for **27…
- Participants
- 27
- Channels
- 64 (10-10)
- Citations
- 23
- HED
- v8.4.0
- Size
- 56.7 GB
- Version
- v1.0.5
- Updated
- Aug 20, 2026