This Data Resource includes the Mathematica notebook developed to generate the Figures for the manuscript titled "Fluxes vs. Pools: Connecting Temperature Dependence and Sensitivity of Soil Carbon Dynamics Across Timescales". The Notebook can be run using Mathematica or through a Wolfram Engine. The abstract of the manuscript:

As global temperature (T) regimes shift, interest in understanding the biotic and abiotic mechanisms driving short- and long-term changes in soil organic carbon (SOC) dynamics is growing. Inconsistent terminology—particularly the use of T dependence and sensitivity—and varying methodological emphases on SOC pools versus fluxes can hinder the integration of experimental results with process-based models aimed at mechanistic insights into the T response of SOC processes. Here, after re-emphasizing the distinction between T dependence (function relating a SOC flux or pool to T) and T sensitivity (i.e., its T derivative), we demonstrate how the apparent T responses of SOC pools and heterotrophic respiration emerge from the T response of individual SOC fluxes. We then analyze SOC dynamics using experimental data and novel SOC modeling frameworks, examining both steady-state and transient responses, including the change in heterotrophic respiration following a step-change in T. Our analysis reveals that the T dependence of SOC pools is determined, in the long-term, by ratios of T response functions (e.g., Q10 ratios). This underscores the need to measure multiple SOC pools and fluxes and integrate process-based models to accurately estimate the T dependencies. The analysis also shows that the short-term T response of heterotrophic respiration is influenced by the ratio of the T response of microbial uptake and maintenance processes, while the long-term behavior arises from mass-balance constraints. Our findings offer a mechanistic basis for integrating flux- and pool-based studies and emphasize the importance of combining data and models to quantify SOC-T responses across temporal scales.