…Collectively, the Calibration Driving recordings comprise a 'virtual' study, in which driving…
…system calibration. Description: This dataset accompanies the publication by Daly et al…
…The data were collected in 2023 at Northeastern University. - N=21 - Calibration…
…Screen distance was approximated using calibration positioning with a Tobii Nano eye…
[ — IMPORTANT NOTE ------------------------------------------------------------- The eyes-open and…
FACE-DEC is an OPM-MEG (optically pumped magnetometer magnetoencephalography) dataset for studying face perception through multivariate decoding and representational similarity analysis. The release includes analysis code for preprocessing (face_1_prep), decoding (face_2_dec), RSA (face_3_rsa), statistics (face_4_stat), and Bayesian model selection (face_6_bayes.m), with a main entry script (face_0_main). Individual facial point clouds and structural MRIs were not collected because optical scanning equipment was unavailable, so all analyses were performed at the whole-brain sensor level. Data collection was approved by the Institutional Review Board of Peking University.