Discover datasets

SUBEMOcondEEG1 is a neurophysiological dataset comprising EEG, pupillometry, and behavioral data from 28 healthy participants (final sample after quality control from 32 initial volunteers; 4 excluded due to low signal-to-noise ratio on electrophysiological data) engaged in a fear conditioning paradigm with auditory stimuli. The study investigates emotional learning through three phases (Pre-Conditioning, Conditioning, and Extinction) using voices with varying acoustic properties (high and low amplitude modulation) paired or unpaired with aversive white noise. This dataset provides multimodal measurements of physiological and behavioral responses during fear acquisition and extinction.

Participants

28

Channels

68 (10-10)

Size

21.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A long-term intracranial electroencephalography (iEEG) dataset from 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices, comprising bilateral recordings from epileptic lesion areas. Each recording captures 90 seconds of dual-channel iEEG centered on stimulation events, with detailed stimulation parameters and seizure event markers. The dataset enables investigation of seizure onset pattern evolution and iEEG characteristic changes following electrical stimulation therapy.

Participants

8

Size

491 MB

Version

vv1.0.0

Updated

Jul 10, 2026

This EEG dataset investigates how attended information is maintained in working memory despite varying cognitive load expectations. Participants performed a color-recall task with two memory screens presenting studied and novel objects under conditions of high or low anticipated load. The study examines neural correlates of working memory maintenance and the effects of load expectation on memory-related brain activity, using event-related potentials and spectral analysis of EEG signals.

Participants

41

Channels

32 (egi-geodesic)

Size

11.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains raw and processed EEG recordings from participants engaged in silent visual reading of word stimuli presented in naturalistic narrative contexts. The study investigates auditory representations of words during reading by recording neural activity while participants view unique and repeated story narratives. The dataset includes BrainVision format EEG files, event annotations with stimulus triggers, preprocessed signals organized by channel, and corresponding feature embeddings for word-level analysis.

Participants

10

Channels

63 (10-10)

Size

35.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains electrophysiological recordings from the auditory cortex of macaque monkeys, acquired using multi-channel electrode arrays. The data represents raw neural activity and provides a valuable resource for investigating the neural mechanisms underlying auditory cortical organization in non-human primates. This is a NEMAR mirror of the OpenNeuro dataset ds007028.

Participants

3

Size

13.9 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises de-identified resting-state EEG recordings from individuals with Parkinson's disease and age-matched healthy controls, collected to evaluate whether EEG biomarkers can distinguish subjects with differential mortality outcomes. Recordings were acquired using standard clinical EEG systems at 500 Hz sampling rate with 10–20 electrode montage during eyes-open rest conditions. The dataset includes mortality classification labels (living/deceased) and is structured according to BIDS EEG standards, enabling investigation of EEG correlates of mortality risk and development of machine learning classification models.

Participants

94

Channels

63 (10-10)

Size

1.74 GB

Version

vv1.0.0

Updated

Jul 10, 2026

FOODEEG is an open dataset comprising electroencephalographic (EEG) and behavioral responses from 117 participants to food images. The dataset includes raw and processed EEG recordings from a food categorization task, along with behavioral data from food go/no-go and paired choice tasks. Participants also provided continuous ratings on food attributes and completed questionnaires assessing dietary styles and eating motivations, with normative ratings collected from an additional 624 online participants.

Participants

117

Size

91.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings collected during a virtual reality-based compassion cultivation training (VR-CCT) study conducted in the immersive social environment of Compassion Island. Participants engaged in guided meditations, visualization exercises, and interactive role-play scenarios with animated characters designed to cultivate compassion. The study integrates neuroimaging data with behavioral observations from a multi-setting virtual environment to investigate the neural correlates of compassion training augmented through immersive technology.

Participants

10

Channels

64 (10-10)

Size

919 MB

Version

vv1.0.0

Updated

Jul 10, 2026

This EEG dataset comprises electrophysiological recordings from 53 subjects performing a bilateral change-detection task designed to investigate how perceptual grouping based on color repetition influences visual working memory (VWM) processing. Using event-related potentials (ERPs), the study temporally isolates neural correlates of distinct VWM stages—individuation encoding, maintenance, initial comparison, percept-memory comparison, and decision making—through specific ERP markers (N2pc, CDA, N2, FN400). The dataset includes 1,248 trials recorded at 512 Hz from a 71-channel BioSemi ActiveTwo system and is structured according to BIDS standards.

Participants

53

Channels

64 (10-10)

Size

269 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains raw EEG recordings and behavioral data from 32 participants performing a visuomotor delayed match-to-sample task with motor and visual interference manipulations. The study investigates how motor control processes moderate visual working memory gating, employing a 2×2 within-subject design with interference conditions varying by hand (same/different) and modality (motor/visuomotor). The dataset includes comprehensive trial-by-trial behavioral measures and event markers for interference task timing, supporting reproducible analysis of the neural mechanisms underlying working memory maintenance under motor demands.

Participants

32

Channels

64 (10-10)

Size

52.8 GB

Version

vv1.0.0

Updated

Jul 10, 2026