Data sets to Yedoma permafrost incubation in seawater, assessing CO2 release and quantifying fossil carbon contribution using radiocarbon as an inverse tracer

DOI

85-day-long aerobic incubation of Yedoma permafrost soil from the Lena Delta into seawater from the eastern Kara Sea, at ~2°C in the dark. The setup is simulating the process of introduction of OC from eroding cost lines along the arctic cost and the resuspension in the shelf bottom waters via the later transport. Samples were incubated in a ratio of Yedoma 3mL to sea water 90 mL. Three treatments were set up 1) Yedoma+Sea water (untreated, 20 vials); 2) Yedoma+filtered Sea Water (0.2µm filter, 6 vials); 3) filtered Sea Water (0.2µm filter, 6 vials). Additionally, vials with pH and O2 sensors were set up for each treatment: 1) 3 vials; 2) & 3) 2 vials each.Presented data include raw data of temperature, pH, oxygen concentrations, dissolved inorganic carbon concentrations (DIC) and radiocarbon signature (DI14), and sediment data (concentration and radiocarbon signature). Nutrients (NH4, NO2, NO3, and PO4), ions (Cl & SO4), DIC, DI14C, total dissolved organic carbon (DOC), and total dissolved nitrogen (TDN) are reported normalized to the water volume in the vials. Further, parameters of the carbonate system were calculated, in order to access CO2 release and its age signature over the cause of the experiment (carbon budget).

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.956184
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.956184
Provenance
Creator Ruben, Manuel Jannis ORCID logo; Mollenhauer, Gesine (ORCID: 0000-0001-5138-564X); Marchant, Hannah K ORCID logo; Wietz, Matthias ORCID logo; Gentz, Torben
Publisher PANGAEA
Publication Year 2023
Rights Data access is restricted (moratorium, sensitive data, license constraints)
OpenAccess false
Representation
Language English
Resource Type Bundled Publication of Datasets; Collection
Format application/zip
Size 0 datasets
Discipline Earth System Research