on006803
NeuroTechs Dataset for Stem Skills
EEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006803-blue…
- Participants
- 63
- Size
- 1.39 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
Discover datasets
91 results for "consumer neuroscience" · page 4 of 10 · ranked by relevance
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- on006126
TDCS Modulation of Visual Cortex in Motor Imagery
EEGImported from OpenNeuro ds006126
- Participants
- 6
- Size
- 1.08 GB
- Version
- v1.0.0
- Updated
- May 23, 2026
- on005964
FRESH Audio Dataset
NIRS[
EEGBigP3BCI Study O is a P300-based brain-computer interface dataset comprising EEG recordings from 18 ALS subjects across 2 sessions each. Participants performed a visual speller task using a 9x8 character grid with supervised/checkerboard stimulus paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz, annotated with target and non-target event labels, and is part of the larger BigP3BCI collection representing one of the most comprehensive public P300 BCI datasets.
- Participants
- 18
- HED
- v8.4.0
- Size
- 981 MB
- Version
- v1.0.1
- Updated
- Jun 3, 2026
- on004520
Changes in behavioral priority influence the accessibility of working memory content - Experiment 2
EEG[ during resting-state and task-based conditions. Participants completed a spontaneous deception task (Gambling Game) and cognitive control assessments involving processing speed, response selection, response inhibition, and conflict resolution. The dataset includes concurrent EEG recordings at 3000 Hz and multimodal physiological signals (ECG, respiration, electrodermal activity, electromyography) at 4000 Hz, providing a comprehensive neurophysiological characterization of deception and cognitive control processes. This dataset is derived from and reformatted from the OpenNeuro source dataset (doi:10.18112/openneuro.ds004511.v1.0.2) into BIDS format for the NEMAR repository.
- Participants
- 45
- Citations
- 1
- Size
- 202 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
BEH EEGThis multimodal dataset comprises simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adult participants during two experimental conditions: naturalistic smartphone interaction and standardized video viewing. Hardware-based TTL synchronization enables precise temporal alignment across all physiological modalities, facilitating investigation of neural and physiological responses to digital device interaction.
- Participants
- 23
- Size
- 6.12 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- on004398
planmemreplay
MEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004398-blue…
- Participants
- 1
- Citations
- 1
- Size
- 1.28 GB
- Version
- v1.0.0
- Updated
- Jun 12, 2026
- on005356
MEG: Major Depression & Probabilistic Learning Task
MEG…Cognitive Neuroscience and Neuroimaging An MEG study (306-sensor Elekta Neuromag System…
- Participants
- 85
- Citations
- 2
- Size
- 159 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- on007120
iEEG_comprehensive_HFA_model_part2
iEEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007120-blue…
- Participants
- 65
- Size
- 33.0 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026