Site type

Location

100 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
036.574° N, 114.119° E
Coordinates (DMS)
036° 34' 00" E, 114° 07' 00" N
Country (ISO 3166)
China (CN)

radiocarbon date Radiocarbon dates (26)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BA-091092 Milu deer bone NA AMS 6760±30 BP 7665–7576 cal BP Ding et al.2013 Bird et al. 2022
BA-091093 Milu deer bone NA AMS 6900±30 BP 7787–7675 cal BP Ding et al.2013 Bird et al. 2022
BA-091094 Pig bones NA AMS 6595±35 BP 7566–7427 cal BP Unpublished Bird et al. 2022
BA-091095 Bone NA AMS 6605±45 BP 7570–7427 cal BP Unpublished Bird et al. 2022
BA-091096 Pig bones NA AMS 6705±35 BP 7658–7507 cal BP Unpublished Bird et al. 2022
BA-091097 Pig bones NA AMS 6680±45 BP 7617–7432 cal BP Unpublished Bird et al. 2022
BA-091098 Charred bones NA AMS 6615±40 BP 7570–7429 cal BP Unpublished Bird et al. 2022
BA-091099 Charred bones NA AMS 6635±35 BP 7574–7431 cal BP Unpublished Bird et al. 2022
BK-78029 Charcoal NA Conventional 6860±100 BP 7930–7515 cal BP Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022
Beta-350371 Ashed crops NA AMS 6800±30 BP 7676–7590 cal BP Unpublished Bird et al. 2022
Beta-350372 Ashed crops NA AMS 12210±50 BP 14260–14034 cal BP Unpublished Bird et al. 2022
Beta-350373 Bulk organic matter NA AMS 10300±40 BP 12454–11882 cal BP Unpublished Bird et al. 2022
Beta-350374 Bulk organic matter NA AMS 8230±40 BP 9400–9026 cal BP Unpublished Bird et al. 2022
Beta-350375 Bulk organic matter NA AMS 6960±40 BP 7920–7690 cal BP Unpublished Bird et al. 2022
Beta-350376 Charcoal NA AMS 6880±40 BP 7824–7619 cal BP Beaudoin 1987 Bird et al. 2022
CNL-188 Ashed crops NA Conventional 8973±349 BP 11135–9292 cal BP Medved 2013 Bird et al. 2022
GZ-1962 Ashed crops NA AMS 8608±62 BP 9720–9479 cal BP Lu et al.2009 Bird et al. 2022
GZ-1973 Ashed crops NA AMS 8875±56 BP 10185–9758 cal BP Lu et al.2009 Bird et al. 2022
GZ-1975 Ashed crops NA AMS 9212±77 BP 10565–10238 cal BP Lu et al.2009 Bird et al. 2022
GZ-1978 Ashed crops NA AMS 6708±48 BP 7666–7488 cal BP Lu et al.2009 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Ding et al.2013]
  • No bibliographic information available. [Unpublished]
  • No bibliographic information available. [Institute of Archaeology Chinese Academy of Social Sciences.1991]
  • No bibliographic information available. [Beaudoin 1987]
  • No bibliographic information available. [Medved 2013]
  • No bibliographic information available. [Lu et al.2009]
  • Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c]
@misc{Ding et al.2013,
  
}
@misc{Unpublished,
  
}
@misc{Institute of Archaeology Chinese Academy of Social Sciences.1991,
  
}
@misc{Beaudoin 1987,
  
}
@misc{Medved 2013,
  
}
@misc{Lu et al.2009,
  
}
@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":"Ding et al.2013","bibtex_type":"misc"}{"bibtex_key":"Unpublished","bibtex_type":"misc"}{"bibtex_key":"Institute of Archaeology Chinese Academy of Social Sciences.1991","bibtex_type":"misc"}{"bibtex_key":"Beaudoin 1987","bibtex_type":"misc"}{"bibtex_key":"Medved 2013","bibtex_type":"misc"}{"bibtex_key":"Lu et al.2009","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: Ding et al.2013
:bibtex_type: :misc
---
:bibtex_key: Unpublished
:bibtex_type: :misc
---
:bibtex_key: Institute of Archaeology Chinese Academy of Social Sciences.1991
:bibtex_type: :misc
---
:bibtex_key: Beaudoin 1987
:bibtex_type: :misc
---
:bibtex_key: Medved 2013
:bibtex_type: :misc
---
:bibtex_key: Lu et al.2009
: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