on007473
High-Density Diffuse Optical Tomography Audiovisual Movie Viewing Dataset
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007473-blue…
- Participants
- 5
- Size
- 36.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neuroimaging pipeline" · page 6 of 10 · ranked by relevance
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- on004107
MIND DATA
ANAT MEG[
- Citations
- 2
- HED
- v8.4.0
- Size
- 75.4 GB
- Version
- v1.0.3
- Updated
- Aug 20, 2026
- on007667
Grupos Pre and Post bids
EEGGrupos Pre and Post bids
- Participants
- 55
- Channels
- 19 (10-20)
- Size
- 626 MB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000141
Motor execution dataset from Wairagkar et al 2018
EEG Zarr verifiedA preprocessed EEG dataset comprising motor imagery recordings from 14 healthy participants performing imagined right-hand tapping, left-hand tapping, and rest tasks. The dataset contains 1,665 trials acquired at 1024 Hz using a 19-channel montage with standard 10-20 electrode placement. Data have been preprocessed with ICA artifact removal and frequency filtering, and include annotations for motor imagery classification and brain-computer interface applications.
- Participants
- 14
- Channels
- 19 (10-20)
- Citations
- 9
- HED
- v8.4.0
- Size
- 1.23 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on005907
EEG: RL Task (3-Armed Bandit) with alcohol cues in hazardous drinkers and ctls
EEG[
- Size
- 5.65 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006035
somatomotor
ANAT MEG…Multi-subject, multi-modal (sMRI+MEG+EEG) neuroimaging dataset for median nerve…
- Participants
- 5
- Size
- 3.07 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004843
T16
EEG[
- HED
- v8.1.0
- Size
- 7.66 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000140
BNCI 2015-001 Motor Imagery dataset
EEG Zarr verifiedA two-class motor imagery EEG dataset comprising 12 healthy, right-handed naive subjects performing sustained kinesthetic imagery of right-hand palmar grip versus bilateral feet plantar extension. The dataset includes 2 sessions per subject with 200 trials total (100 per class), recorded at 512 Hz from 13 EEG channels using g.tec hardware with visual and auditory feedback. Data were preprocessed with bandpass filtering (0.5-100 Hz) and notch filtering at 50 Hz, achieving 80% classification accuracy with LDA and Common Spatial Patterns features.
- Participants
- 12
- Channels
- 13 (10-10)
- Citations
- 95
- HED
- v8.4.0
- Size
- 2.83 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on003078
PROBE iEEG
ANAT iEEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003078-blue…
- Participants
- 6
- Size
- 684 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026