Electron transport data in argon and xenon

Tabulated transport coefficients and scattering cross-sections play a vital role in plasma modeling and in enabling transparent, quantitative comparisons across different experimental studies. Over the past decade, the expansion of experimental datasets has also enabled data-driven approaches, most notably deep learning techniques, to infer electron scattering cross-sections from measured transport properties. To date, most databases (including LXCat and NIST) have focused primarily on electron transport in the gas phase. However, recent developments have begun to broaden this scope. For example, LXCat has announced an updated version of its database that will incorporate new states of matter and broader classes of incident particles. In this dataset, we present data on the electron mobility and diffusion coefficients in LXe and LAr over a range of experimental conditions. The full dataset is also available on GitHub and is structured in a format similar to LXCat. While CSV formats were initially used, we are exploring alternative text-based formats to better support transparency and long-term maintainability. Each dataset includes accompanying files compatible with WebPlotDigitizer v4, making the digitization process reproducible and easy to update.