Published 2025 | Version v1
Dataset Open

Core top biomarker database investigated for the development of BaySIC

Authors/Creators

  • 1. ROR icon University of Cambridge

Description

Core top biomarker database investigated for the development of BaySIC, including the study of origin, station, water depth, latitude, longitude, total organic carbon (TOC) content, and concentrations of IP₂₅, brassicasterol, and dinosterol, normalised to gram of sediment and/or TOC.

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Additional details

References

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  • Belt, S. T., Cabedo-Sanz, P., Smik, L., Navarro-Rodriguez, A., Berben, S. M., Knies, J., & Husum, K. (2015). Identification of paleo Arctic winter sea ice limits and the marginal ice zone: Optimised biomarker-based reconstructions of late Quaternary Arctic sea ice. Earth and Planetary Science Letters, 431, 127–139. doi: 10.1016/j.epsl.2015.09.020
  • Kolling, H. M., Stein, R., Fahl, K., Sadatzki, H., de Vernal, A., & Xiao, X. (2020). Biomarker Distributions in (Sub)-Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions. Geochem Geophys Geosyst, 21(10), e2019GC008629. doi: 10.1029/2019GC008629
  • Méheust, M., Fahl, K., & Stein, R. (2013). Variability in modern sea surface temperature, sea ice and terrigenous input in the sub-polar North Pacific and Bering Sea: Reconstruction from biomarker data. Organic Geochemistry, 57, 54–64. doi: 10.1016/j.orggeochem.2013.01.008
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