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This dataset contains electroencephalogram (EEG) recordings from 15 university students (8 males, 7 females; aged 21-23 years) collected to investigate brain connectivity during learning processes involving generative AI. Participants performed essay-writing tasks under varying AI interaction conditions, enabling assessment of cognitive states such as creativity, memory, and critical thinking.

Participants

15

Channels

14 (other)

Size

1.17 GB

Version

v1.0.0

Updated

Sep 8, 2026

…Resting-State & Walking EEG in Parkinson's Disease ## Overview This dataset contains…

Participants

144

Channels

65 (10-10)

Citations

4

Size

4.26 GB

Version

v1.0.0

Updated

Aug 18, 2026

FOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.

Participants

117

Size

91.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

This EEG dataset comprises electrophysiological recordings from 62 obese and non-obese preteens performing a delayed-verification arithmetic task. The study investigates the effect of obesity on neural processing of mathematical cognition in children with varying math proficiency levels using 128-channel high-density electroencephalography. Event-related potentials were recorded to examine differences in brain activity during arithmetic processing between groups.

Participants

62

Channels

128 (egi-geodesic)

Citations

1

Size

17.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

…100 individuals with Parkinsons disease, and 49 controls. EEG was recorded with…

Participants

149

Channels

63 (10-10)

Citations

14

Size

2.87 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.

Participants

31

Channels

129 (egi-geodesic)

Citations

5

Size

153 GB

Version

v1.0.0

Updated

Jul 22, 2026

…In Parkinson's disease-relevant contexts, EPO has been linked to mechanisms…

Participants

45

Channels

21 (10-20)

Size

476 MB

Version

v1.0.0

Updated

Jul 22, 2026

…In Parkinson's disease-relevant contexts, EPO has been linked to mechanisms…

Participants

24

Channels

19 (10-20)

Size

271 MB

Version

v1.0.0

Updated

Jul 22, 2026

…98 individuals with Parkinsons disease, and 48 controls. The data were collected…

Participants

146

Channels

63 (10-10)

Citations

8

Size

13.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

…94 individuals with Parkinsons disease, and 45 controls. Subjects completed this IntervalTiming…

Participants

139

Channels

63 (10-10)

Citations

9

Size

24.1 GB

Version

v1.0.0

Updated

Aug 19, 2026