Source Data for: Ion Sensing based on Frequency-Dependent Physico-Chemical Processes at Electrode/Electrolyte Interfaces

This dataset contains the complete set of experimental and processed data used in the study <em>"</em>Ion Sensing based on Frequency-Dependent Physico-Chemical Processes at Electrode/Electrolyte Interfaces<em>"</em>. It includes:<br><strong>Raw data</strong>: Directly acquired from electrochemical impedance spectroscopy (EIS) measurements across a range of electrolyte compositions, concentrations, and experimental conditions.<strong>Model outputs</strong>: Results from the physicochemical model and machine learning predictions, including training, validation, and cross-validation outputs.<strong>Supporting materials</strong>: Code for preprocessing, model training, and figure generation, as used in the manuscript and supplementary information.The dataset is organized into clearly labeled folders for ease of navigation. All files are provided in formats suitable for direct use (e.g., <code>.csv</code>, <code>.mat</code>, <code>.py</code>, <code>.m</code>). Additional details about data acquisition, preprocessing, and analysis are described in the accompanying <em>README</em> and in the Methods section of the manuscript.