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This dataset contains OPM-MEG recordings from a face processing study conducted at the whole-brain and sensor level. The data were originally acquired using an in-house LabVIEW acquisition system and later converted to FIF format for standardized analysis. Analyses include preprocessing, decoding, representational similarity analysis (RSA), statistical testing, and Bayesian model selection.

Participants

21

Citations

1

Size

27.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

…License ------- This eeg_emotion dataset is made available under the Open Database…

Participants

40

Channels

128

Citations

4

Size

4.46 GB

Version

v1.0.0

Updated

Jul 10, 2026

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

The Brain, Body, and Behaviour Dataset (Experiment 2) is a multimodal neurophysiological dataset comprising 31 subjects across 2 sessions designed to investigate incidental learning and attentional modulation. Participants watched five educational videos under attentive and distracted conditions while simultaneous recordings of EEG, ECG, EOG, eye-tracking, and pupil dynamics were acquired. This derivative dataset includes preprocessed physiological signals and behavioral responses to memory questionnaires, providing a comprehensive resource for studying the neural and physiological correlates of attention, learning, and cognitive load.

Participants

31

Channels

64 (10-10)

Size

5.23 GB

Version

v1.0.0

Updated

Jul 10, 2026

…images of different image classes (faces, bodies, buildings, objects, scenes, and scrambled…

Participants

14

Citations

61

Size

57.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.

Participants

10

Channels

124 (egi-geodesic)

Citations

93

HED

v8.4.0

Size

3.40 GB

Version

v1.0.3

Updated

Aug 18, 2026

…Stimuli and TextGrids are available from the Massive Auditory Lexical Decision database…

Participants

19

Citations

1

Size

11.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset provides a BIDS-standardized version of simultaneously collected EEG and eye-tracking data from one subject, derived from the larger EEGEyeNet dataset. It supports research on eye movement prediction from electroencephalography and eye-tracking signals, following an established paradigm designed for benchmarking EEG-based eye movement decoding.

Participants

1

Channels

129 (egi-geodesic)

Citations

7

Size

43.6 MB

Version

v1.0.0

Updated

Aug 19, 2026

…The overarching goal of this project is to develop a large database…

Participants

1

Citations

3

Size

620 MB

Version

v1.0.0

Updated

Jul 10, 2026

…https://doi.org/10.48550/arXiv.2506.20354 SWEC-ETHZ iEEG Database…

Participants

40

Citations

2

Size

2.96 TB

Version

v1.0.0

Updated

Aug 18, 2026