Replication Data for HgCl2 addition to pore water samples from cold seeps can affect the geochemistry of dissolved inorganic carbon ([DIC], d13CDIC)

DOI

The conventional use of mercuric chloride (HgCl2) as an antimicrobial agent in water samples for dissolved inorganic carbon (DIC) analysis poses health and environmental risks related to its handling and disposal. Even though there is an increasing interest in quantifying pore water DIC contribution to the ocean carbon cycle and deep-sea acidification, the paucity of comparative studies on marine pore waters prevents the modification of sampling protocols and HgCl2 still remains widely used. In this study we compared DIC concentrations and δ13CDIC composition in pore water samples from methane seepage areas in the Barents Sea and offshore N. Svalbard. Samples were extracted using 0.15 μm rhizon filters and split into two aliquots with 2–3 replicates each. Only one aliquot was treated with 10 μL saturated HgCl2(aq) and all samples were stored in the dark at 4 °C, prior to measurements ~30 days later. The samples yielded extremely wide ranges of DIC concentrations, from 1.8 mM to 20.1 mM, and δ13CDIC values, from −36.0‰ to −1.6‰ (VPDB), due to variable contributions of methane-derived DIC to the pore water system.

Identifier
DOI https://doi.org/10.18710/3WLEGZ
Related Identifier https://doi.org/10.1016/j.marchem.2023.104236
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/3WLEGZ
Provenance
Creator Argentino, Claudio ORCID logo; Kalenitchenko, Dimitri; Lindgren, Matteus; Panieri, Giuliana ORCID logo
Publisher DataverseNO
Contributor Argentino, Claudio; Panieri, Giuliana; UiT The Arctic University of Norway
Publication Year 2023
Funding Reference The Research Council of Norway 287869 ; The Research Council of Norway 223259
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Argentino, Claudio (UiT The Arctic University of Norway); Panieri, Giuliana (UiT The Arctic University of Norway)
Representation
Resource Type experimental data; Dataset
Format text/plain
Size 4453; 578; 6048
Version 1.1
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences
Spatial Coverage (7.000W, 72.000S, 14.700E, 78.700N)