on006545
Reliability-Dubois2024
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006545-blue…
- Participants
- 49
- Size
- 46.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "time-domain features" · page 3 of 10 · ranked by relevance
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- on004718
Le Petit Prince Hong Kong: Naturalistic fMRI and EEG dataset from older Cantonese speakers
ANAT EEG FUNC…such as time-aligned speech segmentation and prosodic features, along with word…
- Participants
- 52
- Channels
- 64
- Size
- 109 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004843
T16
EEGT16 is an EEG neuroimaging dataset containing electroencephalography recordings organized according to the Brain Imaging Data Structure (BIDS) standard version 1.8.0. The dataset includes hierarchical event descriptors (HED) version 8.1.0 for detailed annotation of experimental events and conditions. The dataset comprises 185 files totaling 8.2 GB of EEG data with standardized metadata and event annotations to support reproducible neuroscience research.
- Participants
- 14
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 7.66 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000150
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 1
BEH…Contains saccades (timestamps), saccade-rates, fixations (timestamps), fixation-rates, blinks (timestamps), blink…
- Size
- 880 MB
- 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
- on006923
Dataset of Electroencephalograms of Juvenile Offenders
EEG…Demographic and group assignment data in table format ### Features Data (EEG_JO…
- Participants
- 140
- Channels
- 128 (other)
- Size
- 8.13 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000167
Motor imagery dataset from Ma et al. 2020
EEG- Participants
- 25
- Channels
- 62 (10-10)
- Citations
- 50
- HED
- v8.4.0
- Size
- 22.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004194
Visual ECoG dataset
ANAT iEEGThis dataset comprises intracranial EEG recordings from 14 epilepsy patients implanted with clinical surface and depth electrodes, collected during visual stimulation tasks between 2017-2020. Participants viewed grayscale pattern stimuli varying in spatial and temporal properties, as well as color images of six object categories, while performing a fixation task. The dataset includes raw voltage data, common-average-referenced recordings, broadband responses, preprocessed epochs, and anatomical MRI scans with electrode localizations, enabling investigation of neural dynamics in human visual cortex.
- Participants
- 14
- Size
- 57.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000274
BEETL Competition 2021 Motor Imagery Dataset B — transfer learning benchmark
EEG…Data preprocessed with frequency-domain bandpass filtering (1-100 Hz) and organized…
- Participants
- 2
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 31.3 MB
- Updated
- Jul 10, 2026
- on002094
Single-pulse open-loop TMS-EEG dataset
EEGA single-pulse transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) dataset acquired in open-loop configuration. This dataset provides concurrent TMS-EEG recordings suitable for investigating cortical responses to magnetic stimulation and characterizing brain reactivity to non-invasive neuromodulation. The dataset comprises recordings from multiple subjects across multiple sessions with concurrent TMS-EEG acquisition.
- Participants
- 20
- Channels
- 30 (10-10)
- Size
- 39.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026