Neurophotonics Center BSD License Yes Boston University NITRC Open access multimodal fNIRS resting state dataset with and without synthetic hemodynamic responses In order to objectively evaluate the power of methods which aim to remove confounding resting state physiological factors such as blood flow, low frequency oscillation, and breathing from fNIRS data, it is useful to have a dataset with known ground truth. In order to generate an fNIRS signal with confounding signals but also a known hemodynamic response function (HRF), real resting state fNIRS data is recorded, and a modeled HRF is added. The data also features auxilliary measurements such as accelerometer and photoplethysmography signals. Year: 2020 Format: Snirf Stimuli type: Resting state with synthetic HRF DATASET 1 | DATASET 2 Aux Meas: PPG, RESP, BP, Accelerometer | Accelerometer Num of Subj : 14 | 14 Num of Trial: 15 | 38 Age: 21 ± 2 | 32 ± 19 Sex (M/F): 11/3 | 7/5 Optode Coverage: Occipital | Fronto-parietal LS Channel: 26 | 48 SS Channel: 2 | 8 Duration (min): 5 | 10 Sample Rate (Hz): 50 | 50 Wavelengths: 690/830 | 690/830 Acq. System: TechEn CW4 | TechEnCW5 2022-4-11 Open access multimodal fNIRS resting state dataset with and without synthetic hemodynamic responses - 3D information included 2020-8-14 fNIRS RESTING STATE - DATASET II 2020-8-14 fNIRS RESTING STATE - DATASET I Open access multimodal fNIRS resting state dataset with and without synthetic hemodynamic responses Optical Imaging, BSD License http://www.nitrc.org/projects/luhmann20synhrf/