# EIS Raw Data and Analysis Scripts from CRC1615 – Project A07 (Measurement Campaign 2025)

## DOI
The corresponding publication is available under the DOI 10.1016/j.powtec.2026.122493


## Authors

| Name              | Affiliation                        | ORCID                                     | Contact                             |
|-------------------|------------------------------------|--------------------------------------------|-------------------------------------|
| Maximilian Becker | Hamburg University of Technology   | [0000-0001-8137-5135](https://orcid.org/0000-0001-8137-5135) | maximilian.becker@tuhh.de          |
| Maike Orth        | Hamburg University of Technology   | [0000-0002-0220-7705](https://orcid.org/0000-0002-0220-7705) | maike.orth@tuhh.de                 |
| Anupam Kumar      | University of Freiburg             | [0009-0009-5613-1257](https://orcid.org/0009-0009-5613-1257) | Anupam.Kumar@imtek.uni-freiburg.de |

## Contact Person for Long-Term Inquiries

Dr.-Ing Dennis Kähler  
Institute of Mechatronics in Mechanics  
Hamburg University of Technology  
dennis.kaehler@tuhh.de

## Date

2025-05-13  
Version: 1.0

---

## Project Description

This dataset originates from CRC1615 – Project A07 and comprises preliminary electrochemical impedance spectroscopy (EIS) measurements performed to investigate the potential of sodium benzoate-based coatings for detecting moisture content and layer thickness in fluidized bed environments. The data support a methodological study on the feasibility of in-situ EIS-based monitoring.

This data set and processing files is part of a publication that is under review (05.03.2026)

---

## Dataset Contents

### Directory Structure
```
/
├── data/ # Raw measurement data (.txt)
├── scripts/ # Python classes for loading and plotting data + Jupyter notebooks for plotting
├── requirements.txt # Python dependencies
└── README.md # This file
```


### Measurement Campaign Overview

- **AcryllicGlassCylinder/**  
  Discarded experiment data (for completeness)

- **CoatingExperimentWithDrying/**  
  EIS measurements simulating drying processes of coated surfaces

- **DriedCoating/**  
  EIS data of fully dried samples

- **ElectrodeComparison/**  
  Comparison of different PCB electrode configurations

- **MultiLayerCoating/**  
  Measurements with coatings applied in multiple layers

- **MultiLayerDrying/**  
  Similar to `CoatingExperimentWithDrying`, but with layered coatings

- **PCB_ContactAngle/**  
  Contact angle measurements of water droplets on PCBs for hydrophobicity analysis

- **SolutionConcentration/**  
  EIS measurements of different sodium benzoate concentrations in deionized water

---

## Methods & Instrumentation

- **Measurement Type**: Electrochemical Impedance Spectroscopy (EIS)
- **Instrument**: Zurich Instruments MFIA 5 MHz Impedance Analyzer
- **Samples**: Coated acryllic and brass substrates
- **Experimental Focus**:
  - Moisture content variation during drying
  - Layer thickness determination
  - Effect of sodium benzoate concentration

---

## File Descriptions

- `.txt`: Raw impedance measurements
- `.py`: Python scripts with data classes for each measurement type
- `.ipynb`: Jupyter notebooks for visualization and evaluation
- `dict.ods`: Mapping between raw data and metadata (e.g., moisture content)

---

## Usage Instructions
The underlying publication presents a preliminary study to investigate the usage of Electrochemical Impedance Spectroscopy (EIS) to track the coating behavior of sodium benzoate inside of fluidized bed reactors.
This analysis is therefore split into a few data sets and analyzed using Python and Jupyter. Each script is attached to this collection and includes more thorough instructions. 

### Dependencies

All required packages are listed in `requirements.yaml`. To install them using conda:

```bash
conda create -n eis_env --file requirements.yaml
conda activate eis_env
pip install -r requirements.yaml

# License
- This dataset (scripts and data) is provided under the MIT License.
    - The measurement data are not subject to copyright protection and are provided under the same permissive terms as the software (MIT License) for the purpose of reuse and citation.

# Citation
- Please cite this dataset as:
    - Becker, M., Orth, M., Kumar, A. (2025). EIS Raw Data and Analysis Scripts from CRC1615 – Project A07 (Measurement Campaign 2025). Hamburg University of Technology. DOI: 10.15480/882.15146