Discover datasets

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

v1.0.0

Updated

Jun 19, 2026

This dataset comprises whole-head functional near-infrared spectroscopy (fNIRS) recordings from 38 subjects performing spatial-attention tasks in a cocktail-party paradigm with simultaneous eye-tracking. The study includes both overt attention tasks with eye movements and covert auditory attention tasks with central fixation, along with baseline and resting-state conditions. The fNIRS system captured 1134 measurement channels (56 sources, 144 detectors) at approximately 8.99 Hz sampling rate, providing comprehensive hemodynamic measurements during naturalistic audiovisual stimulus processing.

Participants

38

Size

32.3 GB

Version

v1.0.0

Updated

Jun 19, 2026

Cambridge resting-state fNIRS dataset. This is a raw fNIRS neuroimaging dataset containing resting-state functional near-infrared spectroscopy recordings mirrored from OpenNeuro (ds007719). The dataset includes SNIRF format data files and associated metadata in BIDS format. For complete dataset details, participant information, and acquisition parameters, please refer to the source dataset on OpenNeuro.

Participants

65

Size

8.62 GB

Version

v1.0.0

Updated

Jun 19, 2026

Cambridge fNIRS dataset containing functional near-infrared spectroscopy (fNIRS) neuroimaging data collected using optical neuroimaging techniques. This dataset is a NEMAR mirror of the raw fNIRS dataset from OpenNeuro (ds007714). For detailed information about participants, experimental design, data collection methods, study protocols, authors, and funding, please refer to the original dataset on OpenNeuro at https://openneuro.org/datasets/ds007714 and its associated documentation.

Participants

64

Size

1.24 GB

Version

v1.0.0

Updated

Jun 19, 2026

A BIDS-converted neuroimaging dataset containing time-series fNIRS data from 18 subjects across two sessions. The dataset includes near-infrared spectroscopy (NIRS) measurements with independent component analysis (ICA) denoising applied. Data were collected using continuous-wave NIRS with simultaneous measurement of oxygenated and deoxygenated hemoglobin concentrations. This dataset is derived from TimeSeriesHbORT_18sub_twoSessionICAdenoise and has been reformatted to comply with BIDS standards. NOTE: This dataset is currently under validation. Critical NIRS metadata fields (SamplingFrequency, NIRSChannelCount, source/detector mapping) and BIDS compliance must be confirmed before public release.

Participants

18

Size

1.53 GB

Version

v1.0.0

Updated

Jun 19, 2026

This dataset comprises high-density diffuse optical tomography (HD-DOT) neuroimaging data from 5 participants performing functional localizer and naturalistic movie viewing tasks. Data are provided in SNIRF format with optode positions and anatomical landmarks registered to subject-specific head models, enabling investigation of brain function during audiovisual stimulation using optical neuroimaging methods.

Participants

5

Size

36.2 GB

Version

v1.0.0

Updated

Jun 19, 2026

This high-density functional near-infrared spectroscopy (fNIRS) dataset comprises neuroimaging recordings from the motor cortex during three experimental paradigms: resting state, ball-squeezing motor tasks (both hands performed sequentially), and purposeful motion artifact creation. The dataset includes concurrent accelerometer measurements and is designed to support the development and validation of motion artifact correction algorithms in fNIRS neuroimaging.

Participants

12

Size

571 MB

Version

v1.0.0

Updated

Jun 19, 2026

Ball squeeze fNIRS dataset containing functional near-infrared spectroscopy recordings during a ball squeezing motor task. This is a raw neuroimaging dataset with fNIRS data collected from participants performing repetitive ball squeeze movements. The dataset includes SNIRF format data files, task event markers, and associated metadata. Approved by Boston University IRB 4502. For complete dataset information including authors and funding details, see the source OpenNeuro dataset (ds006903).

Participants

17

Size

5.42 GB

Version

v1.0.0

Updated

Jun 18, 2026

This functional near-infrared spectroscopy (fNIRS) dataset investigates neuronal mechanisms underlying exercise-induced hypoalgesia in endurance athletes versus non-athletes. Twenty-two athletes and twenty non-athletes performed high-intensity interval training (HIIT) while brain oxygenation was monitored across pain-processing regions including the prefrontal cortex, sensorimotor cortices, and posterior parietal cortex. The study reveals distinct neural activation patterns and pain reduction responses between groups, with athletes demonstrating greater oxyhemoglobin increases in the posterior parietal cortex during exercise and significant post-HIIT decreases in pain perception correlated with prefrontal cortex deactivation.

Participants

42

Size

5.51 GB

Version

v1.0.0

Updated

Jun 18, 2026

This dataset comprises high-density functional near-infrared spectroscopy (fNIRS) measurements acquired during a ball-squeeze motor task. The study focuses on optimizing surface-based image reconstruction techniques for high-density fNIRS neuroimaging, with data collected from multiple subjects performing controlled motor activities. The dataset supports methodological research in fNIRS signal processing and brain imaging reconstruction algorithms.

Participants

17

Size

20.7 GB

Version

v1.0.0

Updated

Jun 18, 2026