Discover datasets

This dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.

Participants

9

Size

297 MB

Version

v1.0.0

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

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings and behavioral data from 120 neurologically healthy adults who completed an emotion processing and regulation task during transcranial direct current stimulation (tDCS). Participants underwent two counterbalanced sessions (sham and active stimulation) while viewing static emotional images and performing either passive viewing or cognitive reappraisal. Stimulation was targeted to the dorsolateral prefrontal cortex using two between-subject alternative montages: left dlPFC (anode at F3) or right dlPFC (anode at F4). The study investigates how targeted neuromodulation of the dlPFC modulates affective response evaluation in individuals experiencing loneliness. This is a BIDS-formatted dataset derived from OpenNeuro (ds006861).

Participants

120

Channels

37 (10-10)

Size

53.6 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

This dataset comprises functional near-infrared spectroscopy (fNIRS) recordings from human auditory cortex in individuals with subjective tinnitus and matched controls. The study investigates the relationship between subjective tinnitus severity and objective neurophysiological changes in auditory cortex function, utilizing a NIRx NIRSport2 system for non-invasive optical neuroimaging.

Participants

63

Size

275 MB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

10

Channels

128 (other)

HED

v8.4.0

Size

5.42 GB

Version

v1.0.0

Updated

Jul 10, 2026

BigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 montage, annotated with target and non-target visual stimulus events. This derivative dataset is part of the largest public P300 BCI dataset collection, and is optimized for machine learning applications in BCI research.

Participants

19

Channels

32 (10-10)

HED

v8.4.0

Size

1.46 GB

Version

v1.0.1

Updated

Jul 10, 2026

Participants

9

Channels

30 (10-10)

Citations

74

HED

v8.4.0

Size

1.08 GB

Version

v1.0.0

Updated

Jul 10, 2026

Brain Treebank is a large-scale intracranial EEG dataset comprising 43 hours of iEEG recordings from 10 epilepsy patients watching naturalistic Hollywood movies, with 1,688 electrodes sampled at 2048 Hz. The dataset includes time-aligned linguistic annotations with word-level transcripts and Universal Dependencies syntax trees, providing a unique resource for studying neural language processing during naturalistic stimulation.

Participants

10

Size

508 GB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

13

Citations

46

HED

v8.4.0

Size

5.14 GB

Version

v1.0.0

Updated

Jul 10, 2026