Discover datasets

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 resting-state and auditory oddball task electroencephalography (EEG) recordings from older adults under two experimental conditions: control and threat-of-shock arousal. Participants completed eyes-open and eyes-closed resting periods, as well as passive and active auditory oddball tasks with standard, target, and distractor tones. The data were collected as part of the HeartBEAM study investigating locus coeruleus-noradrenaline system function and its relationship to attention and memory in aging.

Participants

66

Citations

2

Size

117 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

An EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.

Participants

29

Channels

64 (10-10)

Size

16.1 GB

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