Data from: Quantifying and reducing uncertainties in estimated soil CO2 fluxes with hierarchical data-model integration

Kiona Ogle, Edmund Ryan, Fieke A. Dijkstra, Elise Pendall & Feike A. Dijkstra
Non-steady state chambers are often employed to measure soil CO2 fluxes. CO2 concentrations (C) in the headspace are sampled at different times (t), and fluxes (f) are calculated from regressions of C versus t based a limited number of observations. Variability in the data can lead to poor fits and unreliable f estimates; groups with too few observations or poor fits are often discarded, resulting in “missing” f values. We solve these problems by fitting...
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