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Biogeochemistry and qPCR data for microbial community adaptation to brackish water rewetting in a coastal peatland

Coastal wetlands can serve as natural laboratories for assessing the future impacts of sea-level rise and the intricacies of the effect of sulfate (SO42-) on emissions of greenhouse gases, such as methane (CH4) and carbon dioxide. In the case of previously drained and freshened wetlands, we can observe how freshwater terrestrial microbial communities react and adapt to intrusion of SO42- rich saline waters. We conducted a 3-month anoxic incubation experiment with soil extracted from a peatland on the German Baltic coast which was rewetted with brackish water in late 2019 to examine how microbial communities at the site had adapted to the new conditions after two years. Soil slurries were incubated at a moderate temperature of 15 °C at two different salinities (reflecting surface water and average peat soil water salinity) and sampled at 8 timepoints. At each timepoint 5 replicates of each treatment were destructively harvested and sampled for concentrations of CH4, dissolved inorganic carbon (DIC), total aqueous organic carbon, SO42-, ammonium, and other major ions, pH values, qPCR analysis, and δ13DIC and δ13CH4 values.

Model data for simulations of ocean biogeochemistry after the Chicxulub impact

In "A pronounced spike in ocean productivity triggered by the Chicxulub impact" we study the combined effect of sulfate aerosols, carbon dioxide and dust on the oceans and the marine biosphere after the Chicxulub impact using simulations with a climate model including ocean biogeochemistry. The data presented here is the model output the results of this manuscript are based on. Additionally, the figures of the publication and scripts (Python) to analyse the model output and generate the figures are contained. The model output is provided in different netcdf files. The structure of the model output is explained in a readme file. The data is generated using the coupled ocean-atmosphere model CLIMBER-3α+C which models climate globally on a 3.75° x 3.75° (ocean) and 22.5° (longitude) x 7.5° (latitude) (atmosphere) grid. More information about the model can be found in the manuscript and the README of this data publication.

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