Site type

Location

Coordinates (degrees)
025.570° N, 111.460° E
Coordinates (DMS)
025° 34' 00" E, 111° 27' 00" N
Country (ISO 3166)
China (CN)

radiocarbon date Radiocarbon dates (32)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BA-95058 Charcoal NA AMS 13680±270 BP Boaretto et al.2009 Bird et al. 2022
RTB-5107 Charcoal NA AMS 12835±40 BP Boaretto et al.2009 Bird et al. 2022
RTB-5108 Charcoal NA AMS 11855±50 BP Boaretto et al.2009 Bird et al. 2022
RTB-5109 Charcoal NA AMS 12735±70 BP Boaretto et al.2009 Bird et al. 2022
RTB-5110 Charcoal NA AMS 13890±50 BP Boaretto et al.2009 Bird et al. 2022
RTB-5111 Charcoal NA AMS 12235±50 BP Boaretto et al.2009 Bird et al. 2022
RTB-5112 Charcoal NA AMS 12360±50 BP Boaretto et al.2009 Bird et al. 2022
RTB-5113 Charcoal NA AMS 12290±50 BP Boaretto et al.2009 Bird et al. 2022
RTB-5114 Bone NA AMS 13425±70 BP Boaretto et al.2009 Bird et al. 2022
RTB-5115 Bone NA AMS 17720±90 BP Boaretto et al.2009 Bird et al. 2022
RTB-5116 Bone NA AMS 12315±60 BP Boaretto et al.2009 Bird et al. 2022
RTB-5117 Bone NA AMS 12275±50 BP Boaretto et al.2009 Bird et al. 2022
RTB-5204 Charcoal NA AMS 12200±40 BP Boaretto et al.2009 Bird et al. 2022
RTB-5205 Charcoal NA AMS 11670±40 BP Boaretto et al.2009 Bird et al. 2022
RTB-5206 Charcoal NA AMS 11860±40 BP Boaretto et al.2009 Bird et al. 2022
RTB-5207 Charcoal NA AMS 12020±40 BP Boaretto et al.2009 Bird et al. 2022
RTB-5208 Bone NA AMS 12440±40 BP Boaretto et al.2009 Bird et al. 2022
RTB-5209 Bone NA AMS 12400±40 BP Boaretto et al.2009 Bird et al. 2022
RTB-5463 Charcoal NA AMS 14610±55 BP Boaretto et al.2009 Bird et al. 2022
RTB-5464 Charcoal NA AMS 14800±55 BP Boaretto et al.2009 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Boaretto et al.2009,
  
}
@misc{Majkic A.  J.  Archaeol Method Theory (2018) 25:69ÔøΩ116. Alex B. A. 2016. Establishing Contexts of Encounters: Radiocarbon Dating of Archaeological Assemblages  Doctoral dissertation Harvard University.,
  
}
@misc{Boaretto et al. 2010,
  
}
@misc{Institute of Archaeology Chinese Academy of Social Sciences.1997,
  
}
@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":"Boaretto et al.2009","bibtex_type":"misc"}{"bibtex_key":"Majkic A.  J.  Archaeol Method Theory (2018) 25:69ÔøΩ116. Alex B. A. 2016. Establishing Contexts of Encounters: Radiocarbon Dating of Archaeological Assemblages  Doctoral dissertation Harvard University.","bibtex_type":"misc"}{"bibtex_key":"Boaretto et al. 2010","bibtex_type":"misc"}{"bibtex_key":"Institute of Archaeology Chinese Academy of Social Sciences.1997","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: Boaretto et al.2009
:bibtex_type: :misc
---
:bibtex_key: 'Majkic A.  J.  Archaeol Method Theory (2018) 25:69ÔøΩ116. Alex B. A.
  2016. Establishing Contexts of Encounters: Radiocarbon Dating of Archaeological
  Assemblages  Doctoral dissertation Harvard University.'
:bibtex_type: :misc
---
:bibtex_key: Boaretto et al. 2010
:bibtex_type: :misc
---
:bibtex_key: Institute of Archaeology Chinese Academy of Social Sciences.1997
: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