Site type

Location

Coordinates (degrees)
028.733° N, 117.217° E
Coordinates (DMS)
028° 43' 00" E, 117° 13' 00" N
Country (ISO 3166)
China (CN)

radiocarbon date Radiocarbon dates (45)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BA-00015 Bone NA AMS 16301±157 BP Wu et al.2012 Bird et al. 2022
BA-99037 Bone NA AMS 16330±220 BP Wu et al.2012 Bird et al. 2022
BA-09899 Bone NA AMS 16330±65 BP Wu et al.2012 Bird et al. 2022
BA-09926 Bone NA AMS 16345±70 BP Wu et al.2012 Bird et al. 2022
BA-10266 Bone NA AMS 16485±55 BP Wu et al.2012 Bird et al. 2022
BA-09912 Bone NA AMS 16495±60 BP Wu et al.2012 Bird et al. 2022
BA-95141 Charcoal NA AMS 16580±260 BP Wu et al.2012 Bird et al. 2022
UCR-3439 Charcoal NA AMS 16730±120 BP Wu et al.2012 Bird et al. 2022
BA-00007 Bone NA AMS 16915±186 BP Wu et al.2012 Bird et al. 2022
BA-10271 Bone NA AMS 17105±60 BP Wu et al.2012 Bird et al. 2022
AA-15005 Charcoal NA AMS 17420±130 BP Wu et al.2012 Bird et al. 2022
BA-95140 Charcoal NA AMS 17460±210 BP Wu et al.2012 Bird et al. 2022
UCR-3522 Charcoal NA AMS 17580±80 BP Cressman 1942:Fig. 89i; Tuohy; et al. 1997; Fowler et al. 2007:fig. 7.9 Bird et al. 2022
BA-09878 Bone NA AMS 17915±80 BP Wu et al.2012 Bird et al. 2022
BA-00008 Bone NA AMS 17983±177 BP Wu et al.2012 Bird et al. 2022
BA-93182 Charcoal NA AMS 18110±270 BP Wu et al.2012 Bird et al. 2022
UCR-3440 Charcoal NA AMS 18520±140 BP Tuohy and Dansie 1997 Kirner et al. 1996 Bird et al. 2022
BA-00003 Bone NA AMS 19634±186 BP Wu et al.2012 Bird et al. 2022
BA-95136 Charcoal NA AMS 19780±360 BP Zhang&Hung.2008 Bird et al. 2022
BA-95142 Charcoal NA AMS 20940±440 BP Wu et al.2012 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Wu et al.2012,
  
}
@misc{Zhang&Hung.2008,
  
}
@misc{UCR 1981,
  
}
@misc{Tuohy and Dansie 1997 Kirner et al. 1996,
  
}
@misc{Cressman 1942:Fig. 89i; Tuohy; et al. 1997; Fowler et al. 2007:fig. 7.9,
  
}
@misc{Chatters 2000 2001,
  
}
@misc{Institute of Archaeology Chinese Academy of Social Sciences.1991,
  
}
@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":"Wu et al.2012","bibtex_type":"misc"}{"bibtex_key":"Zhang&Hung.2008","bibtex_type":"misc"}{"bibtex_key":"UCR 1981","bibtex_type":"misc"}{"bibtex_key":"Tuohy and Dansie 1997 Kirner et al. 1996","bibtex_type":"misc"}{"bibtex_key":"Cressman 1942:Fig. 89i; Tuohy; et al. 1997; Fowler et al. 2007:fig. 7.9","bibtex_type":"misc"}{"bibtex_key":"Chatters 2000 2001","bibtex_type":"misc"}{"bibtex_key":"Institute of Archaeology Chinese Academy of Social Sciences.1991","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: Wu et al.2012
:bibtex_type: :misc
---
:bibtex_key: Zhang&Hung.2008
:bibtex_type: :misc
---
:bibtex_key: UCR 1981
:bibtex_type: :misc
---
:bibtex_key: Tuohy and Dansie 1997 Kirner et al. 1996
:bibtex_type: :misc
---
:bibtex_key: Cressman 1942:Fig. 89i; Tuohy; et al. 1997; Fowler et al. 2007:fig. 7.9
:bibtex_type: :misc
---
:bibtex_key: Chatters 2000 2001
:bibtex_type: :misc
---
:bibtex_key: Institute of Archaeology Chinese Academy of Social Sciences.1991
: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