Site type

Location

Coordinates (degrees)
036.120° N, 114.319° E
Coordinates (DMS)
036° 07' 00" E, 114° 19' 00" N
Country (ISO 3166)
China (CN)

radiocarbon date Radiocarbon dates (72)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
SA-99101 Bone NA AMS 3105±34 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022
SA-99105 Bone NA AMS 3083±35 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022
SA-99133 Bone NA AMS 3083±38 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022
SA-99134 Bone NA AMS 3088±37 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022
SA-99135 Bone NA AMS 3057±35 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022
SA-99136 Bone NA AMS 3101±39 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022
SA-99137 Bone NA AMS 3053±41 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022
SA-99138 Bone NA AMS 3189±42 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022
SA-99139 Bone NA AMS 3061±34 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022
SA-99140 Bone NA AMS 3167±39 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022
SA-99141 Human bones NA AMS 3108±38 BP Meiklejohn Portugal Bird et al. 2022
SA-98159 Bone NA AMS 2956±38 BP Panel of Xia-Shang-Zhou Chronology Project.2000 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Panel of Xia-Shang-Zhou Chronology Project.2000,
  
}
@misc{Meiklejohn Portugal,
  
}
@misc{Institute of Archaeology Chinese Academy of Social Sciences.1991,
  
}
@misc{Institute of Archaeology Chinese Academy of Social Sciences.2002,
  
}
@misc{Institute of Archaeology Chinese Academy of Social Sciences&Institute of Earth EnvironmentChinese Academy of Sciences.2011,
  
}
@misc{Institute of Archaeology Chinese Academy of Social Sciences.2003,
  
}
@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":"Panel of Xia-Shang-Zhou Chronology Project.2000","bibtex_type":"misc"}{"bibtex_key":"Meiklejohn Portugal","bibtex_type":"misc"}{"bibtex_key":"Institute of Archaeology Chinese Academy of Social Sciences.1991","bibtex_type":"misc"}{"bibtex_key":"Institute of Archaeology Chinese Academy of Social Sciences.2002","bibtex_type":"misc"}{"bibtex_key":"Institute of Archaeology Chinese Academy of Social Sciences&Institute of Earth EnvironmentChinese Academy of Sciences.2011","bibtex_type":"misc"}{"bibtex_key":"Institute of Archaeology Chinese Academy of Social Sciences.2003","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: Panel of Xia-Shang-Zhou Chronology Project.2000
:bibtex_type: :misc
---
:bibtex_key: Meiklejohn Portugal
:bibtex_type: :misc
---
:bibtex_key: Institute of Archaeology Chinese Academy of Social Sciences.1991
:bibtex_type: :misc
---
:bibtex_key: Institute of Archaeology Chinese Academy of Social Sciences.2002
:bibtex_type: :misc
---
:bibtex_key: Institute of Archaeology Chinese Academy of Social Sciences&Institute
  of Earth EnvironmentChinese Academy of Sciences.2011
:bibtex_type: :misc
---
:bibtex_key: Institute of Archaeology Chinese Academy of Social Sciences.2003
: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