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This dataset contains EEG recordings collected while participants viewed visual and audiovisual stimuli in virtual reality depicting the Edzna Archaeological Site. It is intended to support research on how immersive, multisensory cultural-heritage environments shape brain activity. The data are organized in BIDS format with HED annotations.

Participants

102

Channels

8 (10-10)

Size

634 MB

Version

v1.0.0

Updated

May 13, 2026

This dataset contains consumer-grade 14-channel EEG (EMOTIV EPOC X) recorded from 30 sessions while participants completed eyes-open and eyes-closed baselines and listened to about 17 s of two sonic-seasoning soundscapes (jungle and deconstruct). Liking ratings and baseline-state survey items are provided in participants.tsv, with the stimulus audio and the manufacturer's contact and EEG quality signals. An EEGLAB-ready processed version of the two soundscape conditions is included as a derivative.

Participants

30

Channels

14 (other)

Size

53.5 MB

Version

v1.0.0

Updated

Sep 23, 2026

…The reference images consisted of color photographs of faces. Both the ID…

Participants

21

Channels

256 (biosemi)

Citations

23

HED

v8.0.0

Size

55.1 GB

Version

v1.0.0

Updated

Jun 23, 2026

…Pain Perception and Anxiety-Depression Levels](#2-pain-perception-and-anxiety-depression…

Participants

9

Channels

8

Size

1.75 GB

Version

v1.0.0

Updated

Jun 25, 2026

FOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants. In one session, EEG was recorded during a food categorisation task in which participants judged images as healthy, tasty, or something they were willing to eat. In a second session, participants completed a food go/no-go task, a paired choice task, and questionnaires on dietary style and motivation. The dataset also includes raw and cleaned EEG data and normative ratings of the food stimuli from online samples.

Participants

117

Size

91.1 GB

Version

v1.0.0

Updated

Jun 29, 2026

…The reference images consisted of color photographs of faces. Both the ID…

Participants

27

Channels

256 (biosemi)

Citations

25

HED

v8.0.0

Size

67.6 GB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset contains EEG recordings and hedonic (liking) ratings collected from participants exposed to sonic-seasoning soundscapes. Each participant has a combined recording with eyes-open and eyes-closed baselines followed by roughly 17 s exposures to jungle and deconstruct soundscapes. Liking ratings and baseline-state survey items are included in participants.tsv, and the stimulus audio is provided. An EEGLAB-ready processed version is provided as a derivative.

Participants

30

Channels

14 (10-10)

Size

23.4 MB

Version

v1.0.0

Updated

Jun 30, 2026

An EEG and behavioural dataset in which participants viewed images of scenes (stairs) and rated either their aesthetic properties (beauty, complexity, interestingness) or their appropriateness for a reading or social activity. The dataset investigates cortical responses to environmental affordances and the intention to act. It includes raw EEG, behavioural ratings extracted from EEG events, and the full stimulus set with identifiable file names.

Participants

26

Channels

64 (other)

Citations

1

Size

12.1 GB

Version

v1.0.0

Updated

Jun 26, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005107-blue…

Participants

21

Size

27.6 GB

Version

v1.0.0

Updated

Jun 26, 2026

EEG recordings from 33 participants who each completed both a visual and an auditory surprise task, with task order counterbalanced. The dataset supports investigation of electrophysiological markers of surprise-induced failures of visual and auditory awareness. Data from participants excluded at various analysis stages are included up to the stage of processing they reached.

Participants

33

Channels

16 (10-20)

Size

535 MB

Version

v1.0.0

Updated

Jun 28, 2026