on000117
Multisubject, multimodal face processing
ANAT BEH DWI FMAP FUNC MEG
Imported from OpenNeuro ds000117
- Participants
- 17
- Citations
- 121
- Size
- 169 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neural decoding" · page 8 of 10 · ranked by relevance
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- nm000346
CastillosCVEP100
EEG…Convolutional Neural Network (CNN) Feature extraction: Sliding windows (250ms, 2ms stride), Standard…
- Participants
- 12
- Citations
- 20
- HED
- v8.4.0
- Size
- 148 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000142
Ear-EEG motor execution dataset from Wu et al 2020
EEG- Participants
- 6
- Channels
- 122 (10-05)
- Citations
- 10
- HED
- v8.4.0
- Size
- 4.93 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000104
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
EMG…The goal is to enable keyboard-free text input by decoding typing…
- Participants
- 108
- Size
- 223 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- on004745
8-Channel SSVEP EEG Dataset with Artifact Trials
EEGImported from OpenNeuro ds004745
- Participants
- 6
- Channels
- 8 (other)
- Citations
- 26
- Size
- 242 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002338
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP2
ANAT EEG FUNCThis dataset comprises simultaneous 64-channel EEG and 3T fMRI recordings from 16 subjects performing motor imagery and neurofeedback tasks. Participants were randomly assigned to receive either mono-dimensional or bi-dimensional neurofeedback displays during five experimental runs with alternating rest and task blocks. The dataset includes raw EEG data in Brain Vision format, preprocessed EEG data, BOLD fMRI acquisitions, computed neurofeedback scores from both modalities (EEG and fMRI), and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.
- Participants
- 17
- Size
- 25.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000203
P300 dataset from initial spot study
EEG…The decoding performance directly depends on the choice of parameters, as they…
- Participants
- 13
- Citations
- 2
- HED
- v8.4.0
- Size
- 2.82 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
- on005342
EEG data offline and online during motor imagery for standing and sitting
EEGThe experiments were conducted in an acoustically isolated room where only the…
- Participants
- 32
- Channels
- 17 (10-10)
- Size
- 2.03 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005170
Chisco
EEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005170-blue…
- Participants
- 5
- Size
- 261 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026