Synthesized Impedance Spectra Measurements of Epithelial Tissue

This dataset consists of synthetic impedance measurements on modeled epithelial tissue as described in [1]. Based on previous work, physiological tissue properties were estimated for the `HT29/B6`, `IPECJ 2`, and `MDCK I` cell lines [2]. In this way, appropriate ranges of cell model parameters could be determined both for physiological control conditions and after apical addition of the substance Nystatin.  For each cell line and condition, 150,000 values were randomly selected within their ranges. For each sample, a spectral impedance measurement was synthesized for 42 frequencies between 1.3 Hz and 16.35 kHz. Furthermore, the measurements were scattered to account for deviations from the theoretical impedance value due to the experimental setup. For more details see [1].

Important: You are cordially invited to use this dataset for your research or teaching purposes. For example, to compare your impedance analysis approach with ours or to develop new machine learning methods. If you use this dataset for a scientific publication, please cite [1], where the synthesis and original application of this dataset are described in detail. If you have any questions or remarks, please do not hesitate to contact me via email (bschindler at informatik.uni-leipzig.de).

### Changelog ###

version 1.2 -> statistical features recalculated (for incorrect variance and median-mean) and added (pairwise differences and ratios)

version 1.1 -> clean impedance spectra without error modeling were added.

version 1.0 -> initial upload

### Sources ###
[1] B. Schindler, D. Günzel, and T. Schmid, “Transcending Two-Path Impedance Spectroscopy with Machine Learning:
A Computational Study on Modeling and Quantifying Electric Bipolarity of Epithelia,“ International Journal On Advances in Life Sciences 13(1-2), 2021  
[2] T. Schmid, “Automatisierte Analyse von Impedanzspektren mittels konstruktivistischen maschinellen Lernens,” Ph.D. dissertation, Universität Leipzig, Germany, 2018.