Reproducibility Package: Dust Attenuation Model (2.4 GHz) - Sensitivity Analysis, Inverse Modelling, and Figure Data

This dataset contains all scripts and generated data used to reproduce the tables and figures presented in the associated study on dust-induced attenuation at 2.4 GHz. Contents--------The repository includes OriginPro-compatible Python scripts and supporting datasets for: Table 8 and Figures 1-3 One-at-a-time (OAT) sensitivity analysis of model parameters, including raw sweep data, normalised responses, and ranked sensitivity indices. Figure 4 Parameter distributions derived from a filtered solution space satisfying regime-specific attenuation constraints. Figure 5 q-r_p trade-off dataset generated on a structured grid for contour visualisation (data-only; plotting performed manually in OriginPro). Figure 6 Compiled experimental and literature-derived datasets (digitised and text-derived) used for model context and validation. Table 12 Re-optimised inverse-feasible parameter sets obtained via exhaustive grid search under a humidity-conditioned model, evaluated at recorded relative humidity values for each regime. Methodological Notes-------------------------The attenuation model is defined as: A_2.4 = (ε'' / V^0.846) × [10^10.4744 × q × r_p × (cos θ_0 + 1) / E_0] with:ε'' = 5.0732×w + 0.0319 E_0 = 1.37 V/m Humidity effects are incorporated via: RH to moisture mapping w(R) RH-dependent charge decay q(RH) Inverse modelling (Table 12) is performed using an exhaustive grid search minimising |A_model - A_target|. Due to parameter coupling, multiple valid solutions may exist; reported parameter sets are representative rather than unique. Notes------ All scripts generate data only; figures are intended to be reproduced manually in OriginPro. Grid resolution and parameter bounds are explicitly defined in each script. No hardcoded results are used; all values are generated programmatically. This dataset supports full reproducibility of the reported results.