This research was supported by Grant-in-Aid for JSPS Fellows (Grant Number 24KJ1675) in Japan.This research was supported in part by the Research Council of Norway (Grant Number 322558, Japan-Norway Partnership for Computing in Space Science).Additional support was provided by the Japan Society for the Promotion of Science (JSPS) under Grant 20K04041, the High-Performance Computing Infrastructure (HPCI) project (Project No. hp240065), the Joint Use / Research Center for Intercultural Large-scale Information Infrastructures (JHPCN) (Project No. jh240016), and the research grant programme by the Kinoshita Memorial Foundation in Japan.The computational work was carried out using the KDK system at the Research Institute for Sustainable Humanosphere (RISH), Kyoto University.The authors are grateful to Hideyuki Usui at Kobe University, Japan, for insightful discussions on the numerical analyzes.Y. Miyake also extends his heartfelt thanks to the late Hiroshi Nakashima, who passed away in 2021, for his enduring encouragement and expertise in high-performance computing.

All ZIP archives must be unpacked before running the notebook. 1. data.zip Simulation outputs. One directory per run, each containing: plasma.inp – run parameters *.h5 – HDF5 snapshot used for the plots 2. plot.ipynb This Jupyter Notebook contains scripts for visualizing the data corresponding to the figures in the paper. The scripts are designed to facilitate the reproduction of plots. 3. requirements.txt Python packages needed for the notebook. Install withpip install -r requirements.txt 4. scmodel.zip Python code for the semi-analytical model called from plot.ipynb. 5. csv.zip CSV tables of solar-wind speed and temperature extracted fromEchim et al. (2011). Used by the notebook to draw reference lines.

Here we present the numerical simulation data from Nakazono and Miyake (2025), titled "Electrostatic Charging of Lunar Cavities Governed by the Flow-to-Thermal Speed Ratio: 3D PIC Simulations and a Free-Fall Model."