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Spectra induce polarization data of bacteria in soil

Cite this dataset

Song, Yalin; Shi, Xiaoqing; Revil, André; Kang, Xueyuan (2022). Spectra induce polarization data of bacteria in soil [Dataset]. Dryad.


Real-time monitoring of microbial activity in porous media is still facing critical challenges because conventional analytical procedures are intrusive. Induced polarization (IP) has shown promises as a non-intrusive monitoring approach of such process. However, there is still a lack of quantitative analysis of soil column experiments to show how IP-based parameters can be related to the density of bacteria. The evolution of bacteria density and induced polarization is here performed in a soil-packed column experiment using Pseudomonas Aeruginosa O1 (PAO1).

A quantitative relationship between the quadrature conductivity and the bacteria density is established and then used to assess bacteria growth and decay and infer the Monod kinetic parameters. The Monod kinetic parameters inferred from the column experiments mimicking field conditions are different from those obtained from a batch experiment.


The spectra data were collected by the portable spectra induced polarization device, and then converted to in-phase and quadrature conductivity by using equation.

Usage notes

README.csv file contains the information for ecah of the following datasheets.

spectra_data.csv file contains data of bacteria growth and decay process monitored by induced polarization.

quadrature_conductivity_and_bacteria_density.csv file contains the bacteria density during the process of bacteria growth and decay, and at the same time, the change of quadrature conductivity.

bacteria_growth_curve_data.csv file contains the data of bacteria growth and decay in the batch experiment.

growth_fitting_data.csv file contains the data used to fitting the Monod kinetic parameters of bacteria growth process.

decay_fitting_data.csv file contains the data used to fitting the Monod kinetic parameters of bacteria decay process.


National Natural Science Foundation of China, Award: 41977157