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81 results for "neuroergonomics" · page 6 of 9 · ranked by relevance

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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

vv1.0.0

Updated

Jul 10, 2026

by Jens Madsen et al.
nm000311
Multimodal upper-limb MI/ME EEG (Jeong et al. 2020)

EEG

Participants

25

Channels

71 (10-10)

Citations

80

HED

v8.4.0

Size

88.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Ji-Hoon Jeong et al.
on003739
Perturbed beam-walking task

EEG

This dataset comprises synchronized multimodal neurophysiological and biomechanical recordings from 128-channel EEG, electromyography (EMG), electrooculography (EOG), and motion capture during a perturbed beam-walking task. Participants performed four 10-minute sessions of standing or walking on a narrow balance beam while exposed to sensorimotor perturbations (visual field rotations or waist pulls). The dataset includes preprocessed EEG data with identified good channels and independent component analysis results, enabling investigation of cortical mechanisms underlying balance control and responses to perturbations.

Participants

30

Channels

128 (biosemi)

Citations

162

Size

10.9 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Steven Peterson et al. OpenNeuro ds003739
nm000134
Alljoined-1.6M

EEG

Participants

20

Channels

32 (10-10)

Citations

1

Size

7.75 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Jonathan Xu et al.
on006839
EEG recordings during sham neurofeedback in virtual reality

EEG

This dataset comprises EEG recordings acquired during a sham neurofeedback experiment conducted in virtual reality, investigating how feedback valence modulates alpha-band activity during attentional tasks. Participants received positive, negative, or control feedback while performing an attentional task, with additional resting-state recordings (eyes open and closed). Data were collected using a 32-channel SynAmps RT system and converted to BIDS format.

Participants

36

Channels

29 (10-10)

Size

10.4 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by C. Brigitte Aguilar Gonzales et al. OpenNeuro ds006839
on003626
Inner Speech

EEG

A multiclass electroencephalography dataset of inner speech commands acquired from ten subjects using a 136-channel system. The dataset includes three experimental paradigms: inner speech, pronounced speech, and visualized conditions, with four directional commands (up, down, right, left) totaling 5,640 trials. This resource addresses the scarcity of publicly available EEG datasets for inner speech recognition and supports the development of brain-computer interface technologies and investigation of neural mechanisms underlying inner speech. Ethics approval: Comité Asesor de Ética y Seguridad en el Trabajo Experimental (CEySTE), CCT-CONICET, Santa Fe.

Participants

10

Size

24.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Nicolas Nieto et al. OpenNeuro ds003626
nm000303
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study O)

EEG

BigP3BCI 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

Channels

32 (10-10)

HED

v8.4.0

Size

981 MB

Version

vv1.0.1

Updated

Jul 10, 2026

by Boyla Mainsah et al.
on006095
Mind in Motion Older Adults Walking Over Uneven Terrain

EEG

This dataset comprises high-density dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, and ground reaction force recordings from older adults walking over uneven terrain at varying speeds. Participants completed two trials per condition lasting three minutes each, along with a three-minute seated rest baseline. The dataset includes digitized electrode locations for each participant and represents a comprehensive multimodal neurophysiological and biomechanical assessment of locomotor control in aging.

Participants

71

Channels

120 (other)

Size

127 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Chang Liu et al. OpenNeuro ds006095
nm000175
fNIRS Finger Tapping

NIRS

fNIRS finger tapping with lateralized auditory cues. 5 subjects, 56 NIRS channels (8 sources, 16 detectors incl. 8 short), NIRx NIRScout, 7.8 Hz, SNIRF format. 3 conditions x 30 trials. Zenodo DOI: 10.5281/zenodo.6575155

Participants

5

Size

47.4 MB

Version

vv1.0.0

Updated

Jul 10, 2026

by Robert Luke et al.
nm000197
BigP3BCI Study M — 9x8 adaptive/checkerboard (21 ALS subjects)

EEG

Participants

21

HED

v8.4.0

Size

483 MB

Version

vv1.0.0

Updated

Jul 10, 2026

by Boyla Mainsah et al.