Site type

Location

Coordinates (degrees)
030.143° N, 120.223° E
Coordinates (DMS)
030° 08' 00" E, 120° 13' 00" N
Country (ISO 3166)
China (CN)

radiocarbon date Radiocarbon dates (24)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BA-05766 Organic fragments NA AMS 6710±40 BP Innes et al.2009 Bird et al. 2022
BA-05768 Organic fragments NA AMS 6870±40 BP Innes et al.2009 Bird et al. 2022
BA-08364 Wood NA AMS 7370±45 BP Shu et al.2010 Bird et al. 2022
BA-08365 Wood NA AMS 6925±45 BP Shu et al.2010 Bird et al. 2022
BA-08366 Wood NA AMS 6715±40 BP Shu et al.2010 Bird et al. 2022
BA-08367 Wood NA AMS 6515±40 BP Shu et al.2010 Bird et al. 2022
BA-08368 Wood NA AMS 6795±35 BP Shu et al.2010 Bird et al. 2022
BA-9906 Acorn NA AMS 6800±170 BP Pan.2011 Bird et al. 2022
BK-200165 Wood NA Conventional 6585±90 BP Pan.2011 Bird et al. 2022
BK-200166 Wood NA Conventional 6970±100 BP Pan.2011 Bird et al. 2022
BK-200167 Wood NA Conventional 6450±90 BP Pan.2011 Bird et al. 2022
BK-200168 Wood NA Conventional 6615±110 BP Wu et al.2007 Bird et al. 2022
BK-2003006 Wood NA Conventional 7070±155 BP Pan.2011 Bird et al. 2022
BK-2003007 Wood NA Conventional 7055±90 BP Li et al.2011 Bird et al. 2022
GZ-1311 Organic fragments NA AMS 6743±36 BP Innes et al.2009 Bird et al. 2022
GZ-1312 Organic fragments NA AMS 6710±31 BP Innes et al.2009 Bird et al. 2022
GZ-1314 Charcoal NA AMS 6752±33 BP Innes et al.2009 Bird et al. 2022
GZ-1315 Leaf NA AMS 6783±32 BP Innes et al.2009 Bird et al. 2022
GZ-1316 Organic fragments NA AMS 6851±33 BP Innes et al.2009 Bird et al. 2022
GZ-1317 Organic fragments NA AMS 6996±33 BP Zhang et al.2010 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Innes et al.2009,
  
}
@misc{Shu et al.2010,
  
}
@misc{Pan.2011,
  
}
@misc{Wu et al.2007,
  
}
@misc{Li et al.2011,
  
}
@misc{Zhang et al.2010,
  
}
@misc{Kühn 1979 93; Schwabedissen 1953; Schwabedissen 1955; Schwabedissen/Münnich 1958 142,
  
}
@misc{Institute of Archaeology Chinese Academy of Social Sciences.2004,
  
}
@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":"Innes et al.2009","bibtex_type":"misc"}{"bibtex_key":"Shu et al.2010","bibtex_type":"misc"}{"bibtex_key":"Pan.2011","bibtex_type":"misc"}{"bibtex_key":"Wu et al.2007","bibtex_type":"misc"}{"bibtex_key":"Li et al.2011","bibtex_type":"misc"}{"bibtex_key":"Zhang et al.2010","bibtex_type":"misc"}{"bibtex_key":"Kühn 1979 93; Schwabedissen 1953; Schwabedissen 1955; Schwabedissen/Münnich 1958 142","bibtex_type":"misc"}{"bibtex_key":"Institute of Archaeology Chinese Academy of Social Sciences.2004","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: Innes et al.2009
:bibtex_type: :misc
---
:bibtex_key: Shu et al.2010
:bibtex_type: :misc
---
:bibtex_key: Pan.2011
:bibtex_type: :misc
---
:bibtex_key: Wu et al.2007
:bibtex_type: :misc
---
:bibtex_key: Li et al.2011
:bibtex_type: :misc
---
:bibtex_key: Zhang et al.2010
:bibtex_type: :misc
---
:bibtex_key: Kühn 1979 93; Schwabedissen 1953; Schwabedissen 1955; Schwabedissen/Münnich
  1958 142
:bibtex_type: :misc
---
:bibtex_key: Institute of Archaeology Chinese Academy of Social Sciences.2004
: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