Abstract: Objective This study aimed to construct a paired low-field and high-field healthy-brain MRI dataset to provide a valuable resource for low-field MRI super-resolution （SR） research． Methods Post-graduate students enrolled at Beijing University of Posts and Telecommunications from January to March 2026 were recruited and underwent brain MRI scans on both a 0.2 T low-field scanner and a 3.0 T high-field scanner． The low-field protocol comprised three axial sequences—fluid-attenuated inversion recovery （FLAIR），fast spin echo （FSE），and multi-spin-echo （MSSE）． The high-field protocol included a magnetization-prepared rapid gradient echo （MPRAGE） sequence with isotropic resolution，as well as diffusion-weighted imaging （DWI）．Post-acquisition processing included format conversion，orientation unification，bias-field correction，intensity normalization，automated brain parcellation，and SynthSR-hyperfine SR reconstruction using paired 0.2T MSSE/FSE inputs． Results After quality control and selection，a total of 76 imaging volumes were obtained，including complete 0.2 T/3.0 T paired data for 10 subjects and 0.2 T-only data for 2 additional subjects． 32-label brain parcellations were successfully generated for all 10 paired subjects． SR volumes generated from MSSE/FSE pairs showed a certain level of improvement in image quality． Across the 10 paired subjects，mean metrics were： SNR 168.470±60.329，CNR 1.729±0.087． Conclusions This dataset provides a multi-sequence paired brain MRI resource at 0.2 T and 3.0 T． It can serve as a benchmark for training and evaluating low-field MRI super-resolution models and for cross-field-strength image quality studies．