Data products for: Probing the Dispersion and Rotation Measure Contributions from Supernova Remnants in Fast Radio Burst Source Environments with 1D SNR Simulation

This repository contains the data products and figure-reproduction scripts associated with the paper: "Probing the Dispersion and Rotation Measure Contributions from Supernova Remnants in Fast Radio Burst Source Environments with 1D SNR Simulation" The dataset includes: • Optical depth evolution data (free-free and Thomson optical depths) • Dispersion Measure (DM) evolution data, including contributions from shocked regions, unshocked ejecta, and circumstellar material • Rotation Measure (RM) evolution data and magnetic-field diagnostics • Comparisons between simulation results and commonly used theoretical benchmark models (Yang & Zhang 2017; Piro & Gaensler 2018; Zhao et al. 2021) The deposited CSV tables contain all numerical data used to generate the corresponding figures in the paper. Python scripts are provided to reproduce the published figures directly from the archived data products. This repository is associated with the manuscript: "AAS74792R1 – Probing the Dispersion and Rotation Measure Contributions from Supernova Remnants in Fast Radio Burst Source Environments with 1D SNR Simulation" Lead author: Zhao Joseph ZhangAffiliation: Department of Earth and Space Science, Osaka University, Japan