Discover datasets

This dataset comprises neuroimaging data from 8 participants performing functional localizer and movie-viewing tasks acquired simultaneously using Very High Density Diffuse Optical Tomography (VHD-DOT) and functional MRI. The dataset includes raw VHD-DOT data in SNIRF format from sessions 1-2 and fMRI data in NIfTI format from session 3 onwards, with preprocessed fMRI derivatives provided for direct comparison with optical neuroimaging measurements. Published in Imaging Neuroscience (2025).

Participants

8

Size

237 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.

Participants

20

Channels

30

Size

9.91 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises neurophysiological recordings from 39 participants who received calibrated laser stimuli while rating pain intensity and unpleasantness. Participants were presented with laser stimulations at individually-determined energy levels and provided subjective pain ratings on a 0-10 numeric rating scale. The study investigates the neural mechanisms underlying pain perception and assessment, with potential applications to understanding movement-induced hypoalgesia and related pain modulation phenomena. This is a derivative dataset based on OpenNeuro ds005289.

Participants

39

Channels

64 (10-10)

Size

22.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.

Participants

2

Size

1.68 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state, eyes-closed scalp EEG recordings from 88 subjects: 36 with Alzheimer's disease, 23 with Frontotemporal Dementia, and 29 healthy controls. Recordings were acquired using a Nihon Kohden EEG 2100 device with 19 electrodes at 500 Hz sampling rate, totaling approximately 1164 minutes of data. The dataset includes both raw and preprocessed versions with artifact correction, supporting machine learning and clinical research in dementia diagnosis and neurophysiological characterization.

Participants

88

Channels

19 (10-20)

Citations

133

Size

5.38 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A P300 brain-computer interface EEG dataset comprising recordings from 19 healthy participants across 3 sessions. The study investigates the effects of visual stimulation conditions (standard flash versus cartoon face stimuli) on P300-BCI performance using an 8-channel montage sampled at 256 Hz, with data collected using a P300 paradigm across 5 grid sizes and including target and non-target event classifications. This is a BIDS-formatted derivative dataset converted from OpenNeuro ds003190 using the MOABB pipeline.

Participants

19

Channels

8 (10-10)

HED

v8.4.0

Size

463 MB

Version

vv1.0.1

Updated

Jul 10, 2026

A multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes clinical metadata such as seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations, making it suitable for developing and validating automated signal classification algorithms in clinical neurophysiology.

Participants

14

Size

20.8 GB

Version

vv1.0.2

Updated

Jul 10, 2026

A multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.

Participants

24

Size

15.0 GB

Version

vv1.0.2

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

274 MB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 40 participants engaged in an interactive narrative task involving decision-making and feedback processing. Participants read a story with hierarchically-blocked decision points where they evaluated items and received correctness feedback, with experimental manipulation of narrative context presence. The study examines neural correlates of reward processing and decision-making within narrative versus non-narrative conditions across three locations with multiple sub-locations.

Participants

40

Channels

32

Size

2.85 GB

Version

vv1.0.0

Updated

Jul 22, 2026