on007629
ROAMM
BEH EEG
…ROAMM provides a benchmark dataset for MW detection and EEG-to-text…
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 2
- Size
- 46.6 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
Discover datasets
100 results for "arousal detection" · page 6 of 10 · ranked by relevance
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- nm000205
RSVP collaborative BCI dataset from Zheng et al 2020
EEG…RSVP target detection (human vs non-human images); 14 subjects in 7…
- Participants
- 14
- Channels
- 62 (10-10)
- Citations
- 27
- HED
- v8.4.0
- Size
- 11.9 GB
- Version
- v1.0.3
- Updated
- Aug 21, 2026
- nm000147
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 4
BEH EEGThe Brain, Body, and Behaviour Dataset (Experiment 4) is a multimodal neurophysiological dataset comprising simultaneous recordings of EEG, eye-tracking, cardiac, respiratory, and electrooculographic signals from 43 subjects across two sessions. Participants watched three educational videos (Stim-04, Stim-05, Stim-06) under two attention conditions. In Session 1 (attentive condition), participants viewed the videos and answered comprehension questions afterward. In Session 2 (distracted condition), participants viewed the same three videos in the same order while performing a concurrent backward counting task, with no comprehension testing. This derivative dataset supports investigation of neural and behavioral correlates of attention, learning, and cognitive load during naturalistic video viewing.
- Citations
- 4
- Size
- 5.12 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004347
Symmetry perception and affective responses: a combined EEG/EMG study
EEG[
- Citations
- 91
- Size
- 2.69 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002725
A dataset recording joint EEG-fMRI during affective music listening
ANAT EEG FUNCA joint EEG-fMRI dataset acquired from 21 healthy adult participants during affective music listening. Participants listened to music stimuli designed to elicit different emotional responses and provided self-reported affective state ratings. This multimodal neuroimaging dataset enables investigation of the neural correlates of emotional responses to music across both electrophysiological and hemodynamic measures.
- Participants
- 21
- Channels
- 31 (10-10)
- Size
- 15.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004642
Intraoperative recordings of medianus stimulation with low and high impedance ECoG
iEEG…Neidert, Johannes Sarnthein, Low impedance electrodes improve detection of high frequency oscillations…
- Participants
- 10
- Citations
- 9
- Size
- 1.20 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004514
Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools
EEG NIRSThis dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
- Participants
- 12
- Channels
- 64 (biosemi)
- Size
- 24.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005416
Fatigue Characterization of EEG under Mixed Reality Stereo Vision
EEGThis dataset contains EEG recordings collected to characterize visual fatigue induced by mixed reality stereo vision. Participants viewed resting and movement scenes designed to elicit varying degrees of visual fatigue while EEG was recorded from 24 scalp electrodes. The dataset supports both resting-state and task-state EEG analyses related to fatigue characterization under stereoscopic visual stimulation.
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 21.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007322
Personalized smartphone notifications bias auditory salience across processing stages
EEG[
- Size
- 42.5 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3
BEH EEGThe 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