Site type

Location

Coordinates (degrees)
029.715° N, 121.462° E
Coordinates (DMS)
029° 42' 00" E, 121° 27' 00" N
Country (ISO 3166)
China (CN)

radiocarbon date Radiocarbon dates (39)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BA-08359 Bulrush seeds NA NA 4250±40 BP Zheng et al. 2009 Bird et al. 2022
BA-08360 Bulrush seeds NA NA 4705±40 BP Zheng et al. 2009 Bird et al. 2022
BA-08526 Bulrush seeds NA NA 4490±40 BP Zheng et al. 2009 Bird et al. 2022
BA-08527 Triangular Bulrush seeds NA NA 5725±40 BP Zheng et al. 2009 Bird et al. 2022
BA-08893 Yagara bulrush seeds NA NA 5040±40 BP Zheng et al. 2009 Bird et al. 2022
BA-08894 Yagara bulrush seeds NA NA 4965±35 BP Zheng et al. 2009 Bird et al. 2022
BA-08895 Yagara bulrush seeds NA NA 4830±35 BP Zheng et al. 2009 Bird et al. 2022
BA-091044 Charcoal pieces and plants NA NA 1990±40 BP Zheng et al. 2009 Bird et al. 2022
BA-091045 Plant seeds NA NA 4020±40 BP Zheng et al. 2009 Bird et al. 2022
BA-091046 Plant seeds NA NA 4275±40 BP Zheng et al. 2009 Bird et al. 2022
BA-091047 Plant seeds NA NA 4585±35 BP Zheng et al. 2009 Bird et al. 2022
BA-091048 Plant seeds NA NA 4660±40 BP Zheng et al. 2009 Bird et al. 2022
BA-091049 Plant seeds NA NA 5465±45 BP Zheng et al. 2009 Bird et al. 2022
BA-091050 Plant seeds NA NA 5620±35 BP Zheng et al. 2009 Bird et al. 2022
BA-091051 Plant seeds NA NA 6120±45 BP Zheng et al. 2009 Bird et al. 2022
BK-2004027 Charcoal NA NA 6711±90 BP Pan.2011 Bird et al. 2022
BK-2004028 Charcoal NA NA 5081±66 BP Pan.2011 Bird et al. 2022
BK-2004029 Charcoal NA NA 6362±117 BP Pan.2011 Bird et al. 2022
BK-2004030 Charcoal NA NA 6949±73 BP Pan.2011 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Fuller et al. 2011; Li ML et al. 2010]
  • No bibliographic information available. [Pan 2011]
  • No bibliographic information available. [Zheng et al. 2009]
  • No bibliographic information available. [Pan.2011]
  • Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c]
@misc{Fuller et al. 2011; Li ML et al. 2010,
  
}
@misc{Pan 2011,
  
}
@misc{Zheng et al. 2009,
  
}
@misc{Pan.2011,
  
}
@article{p3k14c,
  title = {P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates},
  author = {Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José M. and Finley, Judson Byrd and Gayo, Eugenia M. and Gil, Adolfo and d’Alpoim Guedes, Jade and Hoggarth, Julie A. and Kay, Andrea and Loftus, Emma and Lombardo, Umberto and Mackie, Madeline and Palmisano, Alessio and Solheim, Steinar and Kelly, Robert L. and Freeman, Jacob},
  year = {2022},
  month = {jan},
  journal = {Scientific Data},
  volume = {9},
  number = {1},
  pages = {27},
  publisher = {Nature Publishing Group},
  issn = {2052-4463},
  doi = {10.1038/s41597-022-01118-7},
  abstract = {Archaeologists increasingly use large radiocarbon databases to model prehistoric human demography (also termed paleo-demography). Numerous independent projects, funded over the past decade, have assembled such databases from multiple regions of the world. These data provide unprecedented potential for comparative research on human population ecology and the evolution of social-ecological systems across the Earth. However, these databases have been developed using different sample selection criteria, which has resulted in interoperability issues for global-scale, comparative paleo-demographic research and integration with paleoclimate and paleoenvironmental data. We present a synthetic, global-scale archaeological radiocarbon database composed of 180,070 radiocarbon dates that have been cleaned according to a standardized sample selection criteria. This database increases the reusability of archaeological radiocarbon data and streamlines quality control assessments for various types of paleo-demographic research. As part of an assessment of data quality, we conduct two analyses of sampling bias in the global database at multiple scales. This database is ideal for paleo-demographic research focused on dates-as-data, bayesian modeling, or summed probability distribution methodologies.},
  copyright = {2022 The Author(s)},
  langid = {english},
  keywords = {Archaeology,Chemistry},
  month_numeric = {1}
}
{"bibtex_key":"Fuller et al. 2011; Li ML et al. 2010","bibtex_type":"misc"}{"bibtex_key":"Pan 2011","bibtex_type":"misc"}{"bibtex_key":"Zheng et al. 2009","bibtex_type":"misc"}{"bibtex_key":"Pan.2011","bibtex_type":"misc"}[{"bibtex_key":"p3k14c","bibtex_type":"article","title":"{P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates}","author":"{Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José M. and Finley, Judson Byrd and Gayo, Eugenia M. and Gil, Adolfo and d’Alpoim Guedes, Jade and Hoggarth, Julie A. and Kay, Andrea and Loftus, Emma and Lombardo, Umberto and Mackie, Madeline and Palmisano, Alessio and Solheim, Steinar and Kelly, Robert L. and Freeman, Jacob}","year":"{2022}","month":"{jan}","journal":"{Scientific Data}","volume":"{9}","number":"{1}","pages":"{27}","publisher":"{Nature Publishing Group}","issn":"{2052-4463}","doi":"{10.1038/s41597-022-01118-7}","abstract":"{Archaeologists increasingly use large radiocarbon databases to model prehistoric human demography (also termed paleo-demography). Numerous independent projects, funded over the past decade, have assembled such databases from multiple regions of the world. These data provide unprecedented potential for comparative research on human population ecology and the evolution of social-ecological systems across the Earth. However, these databases have been developed using different sample selection criteria, which has resulted in interoperability issues for global-scale, comparative paleo-demographic research and integration with paleoclimate and paleoenvironmental data. We present a synthetic, global-scale archaeological radiocarbon database composed of 180,070 radiocarbon dates that have been cleaned according to a standardized sample selection criteria. This database increases the reusability of archaeological radiocarbon data and streamlines quality control assessments for various types of paleo-demographic research. As part of an assessment of data quality, we conduct two analyses of sampling bias in the global database at multiple scales. This database is ideal for paleo-demographic research focused on dates-as-data, bayesian modeling, or summed probability distribution methodologies.}","copyright":"{2022 The Author(s)}","langid":"{english}","keywords":"{Archaeology,Chemistry}","month_numeric":"{1}"}]
---
:bibtex_key: Fuller et al. 2011; Li ML et al. 2010
:bibtex_type: :misc
---
:bibtex_key: Pan 2011
:bibtex_type: :misc
---
:bibtex_key: Zheng et al. 2009
:bibtex_type: :misc
---
:bibtex_key: Pan.2011
:bibtex_type: :misc
---
- :bibtex_key: p3k14c
  :bibtex_type: :article
  :title: "{P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates}"
  :author: "{Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick
    and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José M. and Finley, Judson
    Byrd and Gayo, Eugenia M. and Gil, Adolfo and d’Alpoim Guedes, Jade and Hoggarth,
    Julie A. and Kay, Andrea and Loftus, Emma and Lombardo, Umberto and Mackie, Madeline
    and Palmisano, Alessio and Solheim, Steinar and Kelly, Robert L. and Freeman,
    Jacob}"
  :year: "{2022}"
  :month: "{jan}"
  :journal: "{Scientific Data}"
  :volume: "{9}"
  :number: "{1}"
  :pages: "{27}"
  :publisher: "{Nature Publishing Group}"
  :issn: "{2052-4463}"
  :doi: "{10.1038/s41597-022-01118-7}"
  :abstract: "{Archaeologists increasingly use large radiocarbon databases to model
    prehistoric human demography (also termed paleo-demography). Numerous independent
    projects, funded over the past decade, have assembled such databases from multiple
    regions of the world. These data provide unprecedented potential for comparative
    research on human population ecology and the evolution of social-ecological systems
    across the Earth. However, these databases have been developed using different
    sample selection criteria, which has resulted in interoperability issues for global-scale,
    comparative paleo-demographic research and integration with paleoclimate and paleoenvironmental
    data. We present a synthetic, global-scale archaeological radiocarbon database
    composed of 180,070 radiocarbon dates that have been cleaned according to a standardized
    sample selection criteria. This database increases the reusability of archaeological
    radiocarbon data and streamlines quality control assessments for various types
    of paleo-demographic research. As part of an assessment of data quality, we conduct
    two analyses of sampling bias in the global database at multiple scales. This
    database is ideal for paleo-demographic research focused on dates-as-data, bayesian
    modeling, or summed probability distribution methodologies.}"
  :copyright: "{2022 The Author(s)}"
  :langid: "{english}"
  :keywords: "{Archaeology,Chemistry}"
  :month_numeric: "{1}"

Changelog