{"dataset":{"id":"43875","dataset_id":"on005963","name":"FRESH Motor Dataset","description":"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. 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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.\",\n  \"methods_description\": \"fNIRS data were collected during motor tasks using a continuous-wave fNIRS system with standard acquisition protocols. The motor task involved repetitive hand movements to elicit hemodynamic responses in the motor cortex. Optical measurements captured changes in oxygenated and deoxygenated hemoglobin concentrations during task performance and rest periods. Data were acquired at a sampling rate of 10 Hz and are provided in SNIRF (Shared Near Infrared Spectroscopy Format) with complete optode positions, wavelengths, and acquisition parameters. All data are organized according to BIDS conventions for fNIRS datasets. For detailed acquisition parameters, task descriptions, participant demographics, and preprocessing information, refer to the dataset's BIDS files, README documentation, and associated task event files.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Rickson C. 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Mesquita","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005963-blue)](https://doi.org/10.82901/nemar.on005963)\n\nReferences\n----------\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. 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