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

This dataset accompanies the study:

Jin-Tao Lí, Lettice C. Hicks, Albert C. Brangarí, and Johannes Rousk. 2026. “Cross-Stressor Resilience of Soil Microbial Growth and Carbon Metabolism under Climate Change.” Ecology107(6): e70439. https://doi.org/10.1002/ecy.70439

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.md: 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.