Terrigenous organic matter biomarker data at high spatial coverage over the East Siberian Arctic Shelf

Felipe Matsubara, Birgit Wild, Jannik Martens, August Andersson, Rickard Wennström, Lisa Bröder, Oleg V. Dudarev, Igor Semiletov, Örjan Gustafsson

This data set contains observations of molecular biomarkers for terrigenous organic matter (terr-OM) at high spatial coverage across the East Siberian Arctic Shelf (ESAS) in order to better understand the fate of different terr-OM components.

The data set includes data collected during different expeditions between 2008 and 2016 and it has been used to evaluate the suitability of different commonly-used biomarker proxies to describe terr-OM degradation on the ESAS, to assess their sensitivity to varying contribution of dominant terr-OM sources, i.e. ice complex deposits and active layer, and to compare the relative removal of individual terr-OM components within different marine biogeophysical regimes.

Citation

Felipe Matsubara, Birgit Wild, Jannik Martens, August Andersson, Rickard Wennström, Lisa Bröder, Oleg V. Dudarev, Igor Semiletov, Örjan Gustafsson (2022) Terrigenous organic matter biomarker data at high spatial coverage over the East Siberian Arctic Shelf. Dataset version 1. Bolin Centre Database. https://doi.org/10.17043/matsubara-2022-arctic-terrom-1

References

Matsubara F, Wild B, Martens J, Andersson A, Wennström R, Bröder L, Dudarev OV, Semiletov I, Gustafsson Ö (2022) Molecular‐multiproxy assessment of land‐derived organic matter degradation over extensive scales of the East Siberian Arctic Shelf Seas. Global Biogeochemical Cycles, 36, e2022GB007428. https://doi.org/10.1029/2022GB007428

Data description

The data set contains supplementary information to the Matsubara et al. (2022) study. The data are provided in one xlsx spreadsheet file with three data tables, with content as detailed below:

• READ ME: Names of variables and a brief description of the data set.
• TOC-normalized: All biomarkers are normalized by total organic carbon.
• SSA-normalized: All biomarkers are normalized by specific surface area of minerals.