Microbial activity contributes to spatial heterogeneity of wetland methane fluxes

The emission of methane from wetlands is spatially heterogeneous, as concurrently measured surface fluxes can vary by orders of magnitude within the span of a few meters. Despite extensive study and the climatic significance of these greenhouse gas emissions, it remains unclear what drives these large within-site variations, creating a knowledge-gap that impedes a mechanistic understanding of wetland fluxes. While geophysical variables including water table depth (WTD) and soil temperature are known to correlate with CH4 flux, measurable variance in these parameters declines as spatial and temporal scales become finer. Here, we leveraged depth-stratified gene abundance and gene expression measurements of methanogenesis and methanotrophy to investigate CH4 flux variance at an ombrotrophic peat bog. Our results show that the flux variance was strongly correlated to methanogen abundance and that peat depth also exerted significant control over CH4 flux, methanogen abundance, and the relati..., The majority of the data consists of RNA and DNA abundances of specific genes (mcrA,  pmoA, mmoX) quantified via the digital droplet polymerase chain reaction (ddPCR) method. Relatedly, dsDNA abundance for corresponding samples was quantified using fluorometric methods on a Qubit. Additionally, there is accompanying environmental data from the study site, including soil temperature (measured via in-ground probe), water table depth (measured from surface using constructed wells), and refusal depth (measured as a distance with an in-ground depth probe). Lastly, there is methane flux data for our study site, quantified via cavity ring-down spectroscopy using a closed chamber method. All data has been processed in R Studio, using the packages specified in the accompanying manuscript. , All datafiles can be opened in Excel or an equivalent CSV editor. The main script is in the form of an R markdown document. , # Data from: Microbial Activity Contributes to Spatial Heterogeneity of Wetland Methane Fluxes

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The majority of the data consists of RNA and DNA abundances of specific genes (mcrA, pmoA, mmoX) quantified via the digital droplet polymerase chain reaction (ddPCR) method. Relatedly, dsDNA abundance for corresponding samples were quantified using fluorometric methods on a Qubit. Additionally, there is accompanying environemntal data from the study site, including soil temperature (measure via in-ground probe), water table depth (measured from surface using constructed wells), and refusal depth (measured as a distance with an in-ground depth probe). Ferrous iron, total iron, and dissolved oxygen concenreated using Hach kits. Lastly, there is methane flux data for our study site, quantified via cavity ring down spectroscopy using a closed chamber method. All data has been processed in R Studio, using the packages specified in the accompanying manuscript.

## Description of the Data and f...