This readme file was generated on 2026-06-11 by Rasmus Mentzer.

## GENERAL INFORMATION

* Title: Supplementary research data on: "Impact of Ambient Relative Humidity on the Relative Permittivity of PCB Substrates"
* DOI: https://doi.org/10.15480/882.17296

## Author Contact Information
Name: Rasmus Mentzer
ORCID: 0009-0007-5988-7362
Institution: Institute of High-Frequency Technology
Address: Denickestraße 22, 21073 Hamburg, Germany
Email: rasmus.mentzer@tuhh.de

## Principal Investigator Information Information
Name: Alexander Kölpin
ORCID: 0000-0002-9071-5661
Institution: Institute of High-Frequency Technology
Address: Denickestraße 22, 21073 Hamburg, Germany
Email: alexander.koelpin@tuhh.de

## Co-Author Information
Name: Nico Weiß
ORCID: 0009-0002-1264-6514
Institution: Institute of High-Frequency Technology
Address: Denickestraße 22, 21073 Hamburg, Germany
Email: nico.weiss@tuhh.de


* Date of data collection: September-October 2025
* Geographic location of data collection: Hamburg University of Technolgy, Institute of High-Frequency Technology, Building I, Room 33, Denickestraße 22, 21073 Hamburg, Germany
* Information about funding sources that supported the collection of the data: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) as part of the Excellence Strategy of the Federal Government and the federal states – EXC 3120/1 – 533771286.


# SHARING/ACCESS INFORMATION

* Licenses/restrictions placed on the data: Public Domain Mark 1.0 Universal (https://creativecommons.org/publicdomain/mark/1.0/)
* Recommended citation for this dataset: Mentzer, R. et al. (2026), *Supplementary research data on: "Impact of Ambient Relative Humidity on the Relative Permittivity of PCB Substrates"*. Hamburg University of Technology (TU Hamburg), TORE. https://doi.org/10.15480/882.17296


# DATA & FILE OVERVIEW

### DIRECTORY STRUCTURE
    /
    ├── Data/           
    │   ├── Dry_Analyzed_Results_R0.csv
    │   ├── Dry_Analyzed_Results_R1.csv
    │   ├── Dry_Analyzed_Results_R2.csv
    │   ├── Dry_Analyzed_Results_R3.csv
    │   ├── Dry_Analyzed_Results_R4.csv
    │   ├── Dry_Analyzed_Results_R5.csv
    │   ├── Hum_Analyzed_Results_R0.csv
    │   ├── Hum_Analyzed_Results_R1.csv
    │   ├── Hum_Analyzed_Results_R2.csv
    │   ├── Hum_Analyzed_Results_R3.csv
    │   ├── Hum_Analyzed_Results_R4.csv
    │   └── Hum_Analyzed_Results_R5.csv
    ├── Software/             
    │   ├── analyze_results.py
    │   └── requirements.txt
    └── README.md                 

- The results from the humidification (Hum) and drying (Dry) process are stored in the 'Data' directory.

For each investigated PCB substrate material and both investigated processes, the dataset includes Analyzed Results ('<Dry/Hum_Analyzed_Results_<resonator>.csv>') that store:
- Metadata (date, time, set and actual temperature and humidity values)  
- Extracted resonance frequency  
- Extracted loaded quality factor  
- Determined effective relative permittivity of the ring resonator’s microstrip line  
- Resulting relative permittivity of the respective material

These measurements are recorded over 357 time steps, covering a total duration of approximately 4.5 days.

# METHODOLOGICAL INFORMATION

## Description of methods used for collection/generation of data: 
The raw data are S-parameter measurements which were performed using a Keysight P9374B Streamline vector network analyzer as described in the publication "Impact of Ambient Relative Humidity on the Relative Permittivity of PCB Substrates".

## Methods for processing the data: 
The resulting .s2p-files are pre-processed to identify the resonance frequeency and loaded quality factor of each resonance. For this, a preliminary peak_search algorithm (python: scipy.signal.find_peaks) is used to identify the approximate position of the resonance, followed by a Lorentzian-fit (python: scikit-rf.qfactor.Qfactor.fit) which determines the resonance frequency and quality factor for each resonance. Using the, in the publication "Impact of Ambient Relative Humidity on the Relative Permittivity of PCB Substrates" described, approach the effective reative permittivity and relative permittivity are determined. 

## Instrument- or software-specific information needed to interpret the data: 
*include full name and version of software, and any necessary packages or libraries needed to run scripts*

*include any additional methodological information needed to interpret and/or use the data, as appropriate*
* Standards and calibration information, if appropriate: SOLT calibration at SMA connector level. 
* Environmental/experimental conditions: Included in the analyzed results files.


# DATA-SPECIFIC INFORMATION:

| Label | Material                      |
|-------|-------------------------------|
| R0    | Rogers RO4003                 |
| R1    | Panasonic MEGTRON6            |
| R2    | Rogers 4350B                  |
| R3    | Isola Astra-MT77              |
| R4    | Nan-Ya NPG 170-TL (FR4)       |
| R5    | Rogers RT/duroid 5880         |

## SOFTWARE

Included in this dataset is a Python script (Python version: 3.11), `analyze_results.py`, which facilitates evaluation and analysis of the provided analzed results (.csv-files) as well as an implementation of the proposed model including its fitting. The requirements of the python software are listed in "requirements.txt" file.