on006803
NeuroTechs Dataset for Stem Skills
EEG
[
- Size
- 1.39 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "optical neuroimaging" · page 10 of 10 · ranked by relevance
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- 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 comprises scalp electroencephalography recordings from 27 stroke patients performing lower-limb motor imagery tasks as part of a longitudinal rehabilitation training protocol. The multi-paradigm design supports research on motor-imagery brain–computer interfaces for gait and lower-limb rehabilitation following stroke, with repeated sessions enabling investigation of learning and neuroplasticity during motor recovery.
- Participants
- 27
- Citations
- 20
- Size
- 5.79 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on004521
Changes in behavioral priority influence the accessibility of working memory content - Experiment 1
EEG[
- Size
- 10.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000268
Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEGThis open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with 20 trials per session. The dataset includes preprocessed EEG data (30 channels, 200 Hz sampling rate) with comprehensive artifact correction and has been validated for single-trial classification using common spatial patterns and linear discriminant analysis.
- Participants
- 29
- Channels
- 30 (10-05)
- Citations
- 94
- HED
- v8.4.0
- Size
- 1.87 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on006459
High-DensityvSparsefNIRS_WordColorStroop_Sparse_Anderson_2025
NIRS[ — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEGAn open access hybrid brain-computer interface dataset combining electroencephalography (EEG) and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing motor imagery and mental arithmetic tasks. The dataset includes preprocessed EEG data (30 channels, 200 Hz sampling rate) and NIRS data with validated classification performance demonstrating enhanced discrimination of mental states through multimodal analysis compared to single modality approaches.
- Participants
- 29
- Channels
- 30 (10-05)
- Citations
- 94
- HED
- v8.4.0
- Size
- 1.87 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on004520
Changes in behavioral priority influence the accessibility of working memory content - Experiment 2
EEG[
- Size
- 10.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000338
Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGA comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms—motor imagery, event-related potentials, and steady-state visually evoked potentials—across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that motor imagery exhibits the highest illiteracy rate (53.7%) compared to other paradigms, while all participants demonstrated proficiency with at least one BCI system.
- Participants
- 23
- Channels
- 62 (10-05)
- Citations
- 98
- HED
- v8.4.0
- Size
- 60.8 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on004200
Temporal Scaling
BEH EEG[
- Size
- 7.21 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004011
The nature of neural object representations during dynamic occlusion
BEH MEGThis magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.
- Participants
- 27
- Size
- 258 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026