The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Variability in Radiocarbon Ages of Individual Organic Compounds from Marine Sediments
Open accessAbstract
Organic carbon (OC) from multiple sources can be delivered contemporaneously to aquatic sediments. The influence of different OC inputs on carbon-14–based sediment chronologies is illustrated in the carbon-14 ages of purified, source-specific (biomarker) organic compounds from near-surface sediments underlying two contrasting marine systems, the Black Sea and the Arabian Sea. In the Black Sea, isotopic heterogeneity of n -alkanes indicated that OC was contributed from both fossil and contemporary sources. Compounds reflecting different source inputs to the Arabian Sea exhibit a 10,000-year range in conventional carbon-14 ages. Radiocarbon measurements of biomarkers of marine photoautotrophy enable sediment chronologies to be constructed independent of detrital OC influences.
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Citations
Cites
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Cited by
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Microalgal biomarkers: A review of recent research developments
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A review of molecular organic proxies for examining modern and ancient lacustrine environments
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Metadata
- Authors
- Eglinton, T. I., Benitez-Nelson, B. C., Pearson, A., McNichol, A. P., Bauer, J. E., & Druffel, E. R. M.
- Venue
- Science
- Published
- 1997-08-08
- Volume
- 277
- Issue
- 5327
- Pages
- 796-799
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2077708531
- Cited by
- 326
- References
- 30
- FWCI
- 8.77
- Type
- journal article
- Language
- en
- Open access
- green
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- Eglinton, T. I., Benitez-Nelson, B. C., Pearson, A., McNichol, A. P., Bauer, J. E., & Druffel, E. R. M. (1997). Variability in Radiocarbon Ages of Individual Organic Compounds from Marine Sediments. Science. https://doi.org/10.1126/science.277.5327.796
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
