Simulated k-space dataset for radially-acquired, motion-corrupted 2D short-axis cardiac T1 mapping (XCAT-based)

Simulated k-space data for a continuously acquired, radial 2D short-axis cardiac T1 mapping sequence. Anatomy, ground-truth parametric values (T1, M0, flip angle), and the underlying cardiac motion applied to the T1-weighted images were generated with the XCAT framework. An acquisition forward model -- comprising coil sensitivity maps and a fast Fourier transform -- was then applied to obtain the k-space data. Data are stored in ISMRMRD format (.h5) and can be read using the MRpro Python package. Intended for use with an accompanying Python processing pipeline (to be released). A related publication is in preparation; this record will be updated once available.