Discover datasets

This dataset contains de-identified resting-state EEG recordings from individuals with Parkinson's disease and age-matched healthy controls, collected to investigate whether EEG signals can predict mortality outcomes. Each subject is labeled as either 'living' or 'deceased' in the participants file, with no additional demographic or clinical information provided. The dataset is intended to support research on EEG biomarkers of mortality risk and machine learning classification approaches in Parkinson's disease populations.

Participants

94

Channels

63 (10-10)

Citations

3

Size

1.74 GB

Version

v1.0.0

Updated

Aug 19, 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 dataset contains EEG recordings from a study investigating virtual reality (VR)-based augmentation of compassion cultivation training (CCT). Participants engaged with an immersive VR social environment called Compassion Island, implemented in AltspaceVR, which included a meditation hall, a garden, and a clinic setting where they interacted with live-actor-controlled avatars. The dataset captures neural responses associated with guided meditation, compassion visualization exercises, and simulated social interactions designed to cultivate compassion.

Participants

10

Channels

64 (10-10)

Size

919 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from 53 participants performing a bilateral change-detection task designed to examine how perceptual grouping by color repetition influences distinct stages of visual working memory processing. Event-related potential markers (N2pc, CDA, N2, FN400) are used to temporally isolate encoding, maintenance, comparison, and decision-making stages. The dataset was collected at Louisiana State University and is structured according to the BIDS-EEG standard.

Participants

53

Channels

64 (10-10)

Size

269 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains raw EEG recordings and behavioral data from a study investigating how motor control processes moderate visual working memory gating. Thirty-two participants performed a delayed match-to-sample task with motor and visuomotor interference conditions during the memory delay period, using a 2×2 within-subject design. The dataset accompanies a published paper in The Journal of Neuroscience and includes EEG data and participant response data for analyzing the interaction between motor control and working memory maintenance.

Participants

32

Channels

64 (10-10)

Citations

1

Size

52.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains resting-state EEG recordings from 140 juvenile participants in Colombia, including 74 juvenile offenders and 66 non-offender controls, collected to study neurocognitive patterns associated with delinquency. Recordings were acquired using a 128-channel Biosemi ActiveTwo system during alternating eyes-closed/eyes-open resting-state paradigms. The dataset includes both preprocessed EEG data and extracted spectral power features (mean power, RMS, standard deviation, min/max power, skewness, kurtosis) across delta, theta, alpha, and beta frequency bands for each channel and epoch.

Participants

140

Channels

128 (other)

Size

8.13 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains high-density resting-state EEG recordings (64 or 128 channels) from amputees with phantom limb pain, amputees without phantom limb pain, and pain-free intact controls. Recordings lasted approximately 7 minutes per condition, with eyes open or closed tasks. The dataset is organized according to the BIDS standard to facilitate accessible reuse and includes phenotype data on pain-related questionnaires.

Participants

38

Channels

63 (10-10)

Citations

1

Size

64.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains intracranial EEG recordings from 110 individuals who performed a visual-naming task, with electrode coordinates provided in MNI-305 space. It was collected to support analyses of effective connectivity underlying speech and language processing, as reported by Kochi et al. (2025). Each recording is annotated with event codes marking stimulus and response onsets.

Participants

110

Size

17.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains intracranial EEG recordings from 121 individuals who performed an auditory-naming task, with electrode coordinates provided in MNI-305 space. The data support analyses of whole-brain, millisecond-scale effective connectivity underlying speech processing, as reported by Kochi et al. (2025).

Participants

121

Size

44.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from 41 participants collected to investigate the effects of rhythmic visual stimulation on experimental pain perception. The study was conducted at Université Laval in Quebec, Canada, and examines whether rhythmic visual stimulation modulates pain-related neural responses. The dataset includes raw EEG data and associated metadata from a controlled experimental protocol designed to test pain perception under different visual stimulation conditions. This is a derived dataset based on OpenNeuro ds006897.v1.0.0.

Participants

41

Channels

63 (10-10)

Citations

2

Size

24.3 GB

Version

v1.0.0

Updated

Jul 10, 2026