Bayesian inference dataset for the impact of neutron-star radius measurement uncertainty on RMF model parameters and neutron-star matter properties

This dataset supports the paper “Impact of Radius-measurement Uncertainty on RMF Parameters and Neutron-Star Matter Properties”. It contains the Bayesian inference results obtained with a density-dependent relativistic mean-field (RMF) framework for three subsaturation density functionals (DD-ME2, TW99, and PKDD) and three assumed uncertainties of the canonical neutron-star radius R1.4 = 11.9 km (σ = 1.0, 0.5, and 0.2 km).The dataset includes posterior samples of the six high-density RMF parameters, derived credible intervals, and numerical data used to generate the main tables and figures of the paper, including density-dependent couplings, symmetric nuclear matter energy per nucleon, symmetry energy, neutron-star matter pressure, proton fraction, and squared sound speed. These data are provided to support the reproducibility of the Bayesian analysis and the conclusions on how future high-precision radius measurements can improve constraints on the dense-matter equation of state.