Bronk Ramsey, C. orcid.org/0000-0002-8641-9309, Adolphi, F., Austin, W. et al. (22 more authors) (2023) DEVELOPMENT OF THE INTCAL DATABASE. Radiocarbon: An International Journal of Cosmogenic Isotope Research. pp. 1-17. ISSN 0033-8222
Abstract
The IntCal family of radiocarbon (14C) calibration curves is based on research spanning more than three decades. The IntCal group have collated the 14C and calendar age data (mostly derived from primary publications with other types of data and meta-data) and, since 2010, made them available for other sorts of analysis through an open-access database. This has ensured transparency in terms of the data used in the construction of the ratified calibration curves. As the IntCal database expands, work is underway to facilitate best practice for new data submissions, make more of the associated metadata available in a structured form, and help those wishing to process the data with programming languages such as R, Python, and MATLAB. The data and metadata are complex because of the range of different types of archives. A restructured interface, based on the “IntChron” open-access data model, includes tools which allow the data to be plotted and compared without the need for export. The intention is to include complementary information which can be used alongside the main 14C series to provide new insights into the global carbon cycle, as well as facilitating access to the data for other research applications. Overall, this work aims to streamline the generation of new calibration curves.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s), 2023. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | calibration; database; dating; dendrochronology; radiocarbon |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Jun 2024 14:04 |
Last Modified: | 05 Jun 2024 14:14 |
Status: | Published online |
Publisher: | Cambridge University Press |
Identification Number: | 10.1017/rdc.2023.53 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:213122 |