Cross-stressor resilience of soil microbial growth and carbon use efficiency under climate change

This dataset accompanies the study:

Jin-Tao Lí, Lettice C. Hicks, Albert C. Brangarí, Johannes Rousk. (2024). Cross-stressor resilience of soil microbial communities under climate change. [Under Review]

The dataset contains the following files:

1.plfa_data.xlsx: Data on phospholipid fatty acids (PLFA).

2.perturbation_response.xlsx: Data on microbial perturbation responses.

3.stats_code.R: R script used for statistical analyses in the study.

4.origin_fitfunc.zip: A compressed file containing user-defined fitting functions for the Origin software (OriginLab, USA). It includes three “.FDF” files for non-linear models: the modified Gompertz, Baranyi, and Lag-exponential models, which are applied to fit microbial growth and CUE kinetics over time.

5.figs_source_data.zip: Source data used for figure generation, excluding Fig. 1, which is an experimental design illustration.

6.plots_code.R: R script attempting to reproduce the figures originally generated in Excel.

README.docx: Detailed documentation on dataset contents, structure and column variables.

This dataset supports research into soil microbial resilience in response to perturbation events associated with climate trends and extremes.