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

DOI:10.4121/fd5d845a-70aa-452f-b662-e72e1e057f34.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/fd5d845a-70aa-452f-b662-e72e1e057f34

Datacite citation style

Mohseni Armaki, Amir; Guo, Yaqi; Ahmadi, Majid; Streefland, Roan; Bäuerlein, Patrick S. et. al. (2025): Source Data for: Ion Sensing based on Frequency-Dependent Physico-Chemical Processes at Electrode/Electrolyte Interfaces. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/fd5d845a-70aa-452f-b662-e72e1e057f34.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains the complete set of experimental and processed data used in the study "Ion Sensing based on Frequency-Dependent Physico-Chemical Processes at Electrode/Electrolyte Interfaces". It includes:


  • Raw data: Directly acquired from electrochemical impedance spectroscopy (EIS) measurements across a range of electrolyte compositions, concentrations, and experimental conditions.
  • Model outputs: Results from the physicochemical model and machine learning predictions, including training, validation, and cross-validation outputs.
  • Supporting materials: 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., .csv, .mat, .py, .m). Additional details about data acquisition, preprocessing, and analysis are described in the accompanying README and in the Methods section of the manuscript.

History

  • 2025-08-21 first online, published, posted

Publisher

4TU.ResearchData

Format

EIS raw data/.mpt, spreadsheet/.csv

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Materials Science and Engineering

DATA

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