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.

本数据集包含研究论文《基于电极/电解质界面频率依赖性物理化学过程的离子传感》（Ion Sensing based on Frequency-Dependent Physico-Chemical Processes at Electrode/Electrolyte Interfaces）中所用的全部实验与经处理后数据，具体内容如下：
1. **原始数据**：直接采集自不同电解质组成、浓度及实验条件下的电化学阻抗谱（electrochemical impedance spectroscopy, EIS）测量数据；
2. **模型输出**：物理化学模型与机器学习预测结果，涵盖训练、验证及交叉验证输出；
3. **辅助材料**：论文及补充材料中所使用的、用于预处理、模型训练与图表生成的代码。
数据集采用标签清晰的文件夹进行组织，便于快速导航。所有文件均采用可直接使用的格式（如.csv、.mat、.py、.m）。有关数据采集、预处理与分析的更多细节，可参阅随附的README文件及论文的方法章节。