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Nature
Article . 1970 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Nature
Article . 2005
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Radiocarbon Dating of Mortars

Authors: M S, Baxter; A, Walton;

Radiocarbon Dating of Mortars

Abstract

CONFLICTING reports have been published in recent years on the reliability of radiocarbon dating of mortars. Delibrias and Labeyrie1 found accurate dating to be possible, but Stuiver and Smith2 found incorrect age assessments. The observed discrepancies were attributed to the dilution of 14C activity by ancient carbon which may have been a residue of the limestone from which the “CaO” was initially prepared. In addition a minor dilution effect might result if calcareous sands were used in the manufacture of the original aggregate. We have investigated further the validity of the dating technique, using a number of British mortars of accurately known age and origin provided by the UK Ministry of Public Building and Works, Ancient Monuments Branch. Radiocarbon analyses of these samples were performed by methane gas counting following acid hydrolysis of the samples and conversion of the product carbon dioxide to methane by catalytic hydrogenation3.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
56
Top 10%
Top 10%
Average
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