on004200
Temporal Scaling
BEH EEG
[
- Citations
- 5
- Size
- 7.21 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "hybrid neuroimaging" · page 9 of 10 · ranked by relevance
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- nm000257
Imagined speech EEG dataset — short words condition (Nguyen et al. 2017)
EEGThis dataset contains preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks with three short word conditions (out, in, up). Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory and visual cueing, yielding 5,400 trials suitable for BCI research and benchmarking.
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 98
- HED
- v8.4.0
- Size
- 1.90 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on007477
TimeSeries BIDS converted
NIRS[
ANAT EEGImported from OpenNeuro ds002578
- Participants
- 2
- Channels
- 256 (biosemi)
- HED
- v8.0.0
- Size
- 1.33 GB
- Version
- v1.0.2
- 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)
EEGThis dataset contains scalp EEG recordings from 27 stroke patients performing a lower-limb motor-imagery paradigm as part of a multi-paradigm, longitudinal rehabilitation training protocol. The data support research on motor-imagery brain-computer interfaces (BCI) for gait and lower-limb rehabilitation after stroke. Data were collected at Tianjin University and converted to BIDS format for the NEMAR archive.
- Participants
- 27
- Channels
- 64 (10-10)
- Citations
- 23
- HED
- v8.4.0
- Size
- 56.7 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005963
FRESH Motor Dataset
NIRS[ as part of BCI Competition IV Dataset 2b. Data were collected across five sessions per subject: two screening sessions without feedback and three feedback sessions with visual smiley feedback. The dataset includes 3 bipolar EEG channels (C3, Cz, C4) and 3 EOG channels sampled at 250 Hz, providing a benchmark resource for motor imagery-based brain-computer interface research.
- Participants
- 1
- Channels
- 3 (10-20)
- Citations
- 83
- HED
- v8.4.0
- Size
- 478 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on006159
Implicit Learning EEG (BioSemi)
BEH EEG[. BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666
- Participants
- 95
- Channels
- 64 (10-10)
- Citations
- 28
- Size
- 21.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002712
Numbers and Letters
ANAT BEH MEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002712-blue…
- Participants
- 25
- Size
- 310 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026