Discover datasets

100 results for "arousal detection" · page 7 of 10 · ranked by relevance

License

License filtering isn't available while searching — clear the search box to filter by license.

Participants

Features

Has HED annotation
Has data quality Phase 3

Channels & montage

Channel density Electrode system

Channel and montage filters apply while browsing — clear the search box to use them.

Sort

Results are ranked by relevance while searching.

on005416
Fatigue Characterization of EEG under Mixed Reality Stereo Vision

EEG

This dataset comprises EEG recordings from 24 electrodes acquired during a mixed reality stereo vision task designed to characterize mental fatigue. Participants completed resting and movement observation scenes within a virtual environment, with EEG data collected to enable both resting-state and task-state analyses of fatigue-related neural correlates.

Participants

23

Channels

64 (10-10)

Size

21.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Yan Wu et al. OpenNeuro ds005416
on001785
Evidence accumulation relates to perceptual consciousness and monitoring

EEG iEEG

…Experiments started by a simple estimation of the individual detection threshold. The…

Participants

19

Channels

69 (10-10)

Size

27.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Michael Pereira et al. OpenNeuro ds001785
nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3

BEH EEG

The Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.

Participants

29

Channels

64 (10-10)

Size

7.44 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Jens Madsen et al.
on004256
Encoding of Sound Source Elevation in Human Cortex

BEH EEG

…002 and sub-003 # Deviant Detection (Experiment 1) Subjects 001-023 participated…

Participants

53

Channels

64 (other)

Size

18.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Ole Bialas et al. OpenNeuro ds004256
on004105
BCIT Auditory Cueing

EEG

The BCIT Auditory Cueing dataset comprises EEG, eye-tracking, and vehicle performance data collected during a prolonged simulated driving task designed to assess driver fatigue and cognitive state. Subjects performed two 45-minute driving conditions with either random or predictive auditory cues preceding lateral vehicle perturbations, while continuous measurements of steering behavior, reaction times, and subjective fatigue scales were recorded. This dataset extends prior driving research by examining the relationship between neural biomarkers and fatigue-related performance decrements in a controlled, high-frequency perturbation environment.

Participants

17

Channels

64 (10-10)

HED

v8.0.0

Size

20.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Javier Garcia (data) et al. OpenNeuro ds004105
on006459
High-DensityvSparsefNIRS_WordColorStroop_Sparse_Anderson_2025

NIRS

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006459-blue…

Participants

17

Size

169 MB

Version

v1.0.0

Updated

Jul 10, 2026

by Jessica E. Anderson et al. OpenNeuro ds006459
on007427
Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer’s risk classification

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007427-blue…

Participants

44

Channels

58 (10-10)

Size

13.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Verónica Henao Isaza et al. OpenNeuro ds007427
on007216
A multi-session simultaneous EEG-fMRI dataset with online experience sampling

ANAT EEG FMAP FUNC

This multi-session dataset comprises simultaneous EEG-fMRI recordings from 24 healthy adults (ages 18-35) performing a sustained attention task (GradCPT) and resting state with online experience sampling. The dataset includes 31-channel cortical EEG (plus 4 carbon wire loop sensors and 1 ECG channel for a total of 36 recorded channels) with carbon wire loop sensors for artifact removal, concurrent fMRI, ECG, behavioral responses, and multi-dimensional experience sampling ratings assessing thought contents and processes. Approximately 1 hour 20 minutes of data were collected per participant per session across two sessions, enabling investigation of neural correlates of spontaneous cognitive processes including mind-wandering and attentional fluctuations. All structural MRI images were defaced for privacy. Note: One session (sub-003_ses-001) contains incomplete data collection with 3 runs instead of the standard 4 runs due to time constraints.

Participants

24

Channels

31 (10-10)

Size

115 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Aaron Kucyi et al. OpenNeuro ds007216
on005131
Evoked responses to elevated sounds

BEH EEG

…002 and sub-003 # Deviant Detection (Experiment 1) Subjects 001-023 participated…

Participants

58

Channels

64 (other)

Size

22.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Ole Bialas et al. OpenNeuro ds005131
on003004
Imagined Emotion Study

EEG

This high-density EEG dataset captures brain activity during guided emotional imagery across 15 distinct emotion states. Participants listened to voice-guided scenarios designed to evoke emotions with varying valence (positive and negative) while their neural activity was recorded with eyes closed. The dataset includes preprocessed EEG data with artifact correction and high-pass filtering, providing a resource for investigating neural correlates of emotion imagination and brain state dynamics during emotional experiences.

Participants

34

Channels

224 (biosemi)

Size

36.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Julie Onton et al. OpenNeuro ds003004