Site type

Location

Coordinates (degrees)
030.771° N, 097.039° E
Coordinates (DMS)
030° 46' 00" E, 097° 02' 00" N
Country (ISO 3166)
China (CN)

radiocarbon date Radiocarbon dates (53)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BA-111226 NA Foxtail Millet NA NA 3910±25 BP 4417–4253 cal BP d'Alpoim Guedes et al. 2013 Bird et al. 2022
BA-111227 NA Millet NA NA 3945±20 BP 4510–4297 cal BP d'Alpoim Guedes et al. 2013 Bird et al. 2022
BA-111228 NA Foxtail Millet NA NA 4115±25 BP 4810–4527 cal BP d'Alpoim Guedes et al. 2013 Bird et al. 2022
BA-111229 NA Foxtail Millet NA NA 3995±25 BP 4520–4416 cal BP d'Alpoim Guedes et al. 2013 Bird et al. 2022
BA-111230 NA Millet NA NA 3965±25 BP 4519–4305 cal BP d'Alpoim Guedes et al. 2013 Bird et al. 2022
BA-111231 NA Millet NA NA 3895±25 BP 4413–4247 cal BP d'Alpoim Guedes et al. 2013 Bird et al. 2022
BK-78044 NA Charcoal NA Conventional 4180±120 BP 5046–4359 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
BK-78045 NA Charcoal NA Conventional 3940±80 BP 4781–4098 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
BK-78046 NA Charcoal NA Conventional 4000±85 BP 4817–4186 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
BK-79068 NA Charcoal NA Conventional 3910±90 BP 4610–4009 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
BK-79069 NA Charcoal NA Conventional 4540±80 BP 5462–4885 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
BK-79070 NA Charcoal NA Conventional 4110±100 BP 4859–4310 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
BK-79071 NA Charcoal NA Conventional 4490±90 BP 5440–4861 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
BK-79072 NA Charcoal NA Conventional 4550±100 BP 5472–4877 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
BK-79073 NA Charcoal NA Conventional 4380±100 BP 5313–4657 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
BK-79074 NA Charcoal NA Conventional 4160±80 BP 4855–4444 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
BK-79077 NA Charcoal NA Conventional 4280±80 BP 5255–4533 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
Beta-325960 NA Broomcorn NA NA 3980±40 BP 4529–4296 cal BP Cook 2014 Results of Archaeological Data Recovery at ZA AA:14:39 (AMS) à Bird et al. 2022
OxA-28025 NA millet NA NA 3984±33 BP 4527–4359 cal BP Lu 2016 Bird et al. 2022
OxA-28026 NA millet NA NA 3853±32 BP 4405–4154 cal BP Lu 2016 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Bar-Yosef 1991,
  
}
@misc{Lemercier et al. 2017 supplement,
  
}
@misc{d'Alpoim Guedes et al. 2013,
  
}
@misc{Institute of Archaeology Chinese Academy of Social Sciences.1991,
  
}
@misc{Barton et al.2007,
  
}
@misc{Lu 2016,
  
}
@misc{Cook 2014 Results of Archaeological Data Recovery at ZA AA:14:39 (AMS) à,
  
}
@misc{Oliver J. 2013 cited in Oliver J. 2014,
  
}
@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":"Bar-Yosef 1991","bibtex_type":"misc"}{"bibtex_key":"Lemercier et al. 2017 supplement","bibtex_type":"misc"}{"bibtex_key":"d'Alpoim Guedes et al. 2013","bibtex_type":"misc"}{"bibtex_key":"Institute of Archaeology Chinese Academy of Social Sciences.1991","bibtex_type":"misc"}{"bibtex_key":"Barton et al.2007","bibtex_type":"misc"}{"bibtex_key":"Lu 2016","bibtex_type":"misc"}{"bibtex_key":"Cook 2014 Results of Archaeological Data Recovery at ZA AA:14:39 (AMS) à","bibtex_type":"misc"}{"bibtex_key":"Oliver J. 2013 cited in Oliver J. 2014","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: Bar-Yosef 1991
:bibtex_type: :misc
---
:bibtex_key: Lemercier et al. 2017 supplement
:bibtex_type: :misc
---
:bibtex_key: d'Alpoim Guedes et al. 2013
:bibtex_type: :misc
---
:bibtex_key: Institute of Archaeology Chinese Academy of Social Sciences.1991
:bibtex_type: :misc
---
:bibtex_key: Barton et al.2007
:bibtex_type: :misc
---
:bibtex_key: Lu 2016
:bibtex_type: :misc
---
:bibtex_key: Cook 2014 Results of Archaeological Data Recovery at ZA AA:14:39 (AMS)
  à
:bibtex_type: :misc
---
:bibtex_key: Oliver J. 2013 cited in Oliver J. 2014
: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