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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

572 MB

Version

v1.0.0

Updated

Jul 10, 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

5.43 GB

Version

v1.0.0

Updated

Jul 10, 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

Jul 10, 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

Jul 10, 2026

This dataset contains time-domain functional near-infrared spectroscopy (fNIRS) measurements collected to assess the reliability of brain metrics derived from a commercial fNIRS system. The study evaluates the reproducibility and consistency of hemodynamic measurements across multiple sessions, providing empirical evidence for the reliability of fNIRS-based neuroimaging metrics in clinical and research applications.

Participants

49

Size

46.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises high-density functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study compares high-density multi-distance fNIRS configurations with sparse fNIRS arrangements to evaluate their relative sensitivity in detecting brain activity during cognitive control tasks. Data were collected from multiple participants with concurrent behavioral performance metrics.

Participants

17

Size

460 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises high-density and sparse functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study investigates whether high-density multi-distance fNIRS configurations enhance detection of brain activity compared to conventional sparse probe arrangements. Raw neuroimaging data from multiple participants are provided in BIDS format to support reproducible analysis of cognitive control mechanisms.

Participants

17

Size

169 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset quantifies the impact of hair and skin characteristics on functional near-infrared spectroscopy (fNIRS) signal quality, with a focus on enhancing inclusivity in neuroimaging research. The study examines how individual physiological variations affect fNIRS measurements across diverse participant populations, providing empirical evidence for optimizing signal acquisition and preprocessing in this neuroimaging modality.

Participants

115

Size

1.38 GB

Version

v1.0.0

Updated

Jul 10, 2026

FRESH Audio Dataset is a functional near-infrared spectroscopy (fNIRS) dataset collected during audio processing tasks. The dataset contains raw fNIRS measurements organized according to the Brain Imaging Data Structure (BIDS) standard. This dataset supports research into auditory neuroscience and the neural correlates of sound processing. NOTE: Dataset status should be verified as complete and finalized before DOI minting.

Participants

17

Size

65.5 MB

Version

v1.0.0

Updated

Jul 10, 2026

The FRESH Motor Dataset is a functional near-infrared spectroscopy (fNIRS) neuroimaging dataset focused on motor cortex activity during motor tasks. This dataset contains raw fNIRS measurements organized according to the Brain Imaging Data Structure (BIDS) standard and is hosted on NEMAR as a mirror of the OpenNeuro dataset (ds005963). The data is suitable for research on motor cortex hemodynamics, neurovascular coupling, and motor control mechanisms. Data are provided in SNIRF format with complete acquisition parameters and participant information.

Participants

10

Size

234 MB

Version

v1.0.0

Updated

Jul 10, 2026