Site type

Location

Coordinates (degrees)
040.473° N, 090.207° W
Coordinates (DMS)
040° 28' 00" W, 090° 12' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (14)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-38967 NA SEEDS Phaseolus AMS 712±33 BP 717–562 cal BP Hart et al. 2002 Bird et al. 2022
AA-38968 NA SEEDS Zea mays AMS 698±33 BP 682–562 cal BP Hart et al. 2002 Bird et al. 2022
ISGS-A177 NA SEEDS Phaseolus AMS 655±43 BP 672–553 cal BP Hart et al. 2002 Bird et al. 2022
WIS-603 NA CHARCOAL Charred wood Quercus RADIOMETRIC 780±50 BP 785–653 cal BP Bender et al. 1973: 613-614 Bird et al. 2022
WIS-604 NA CHARCOAL Charred Wood Ulmus americana (id. by L.A. Conrad) RADIOMETRIC 710±60 BP 730–554 cal BP Bender et al. 1973: 613-614 Bird et al. 2022
WIS-605 NA CHARCOAL mainly Carya sp. some Quercus RADIOMETRIC 750±55 BP 775–561 cal BP Bender et al. 1973: 613-614 Bird et al. 2022
WIS-606 NA CHARCOAL NA RADIOMETRIC 760±60 BP 789–561 cal BP Bender et al. 1973: 613-614 Bird et al. 2022
WIS-607 NA CHARCOAL Quercus Carya and Juglans RADIOMETRIC 800±55 BP 900–651 cal BP Bender et al. 1973: 613-614 Bird et al. 2022
WIS-608 NA CHARCOAL Charred WoodOstrya virginiana (id. by L.A. Conrad) RADIOMETRIC 700±55 BP 725–555 cal BP Bender et al. 1973: 613-614 Bird et al. 2022
WIS-649 NA CHARCOAL Quercus RADIOMETRIC 800±55 BP 900–651 cal BP Bender et al. 1975: 123 Bird et al. 2022
WIS-683 NA CHARCOAL NA RADIOMETRIC 865±55 BP 909–681 cal BP Bender et al. 1975: 123 Bird et al. 2022
WIS-692 NA WOOD Juglans RADIOMETRIC 845±65 BP 909–672 cal BP Bender et al. 1975: 123 Bird et al. 2022
WIS-693 NA WOOD Juglans RADIOMETRIC 810±45 BP 790–669 cal BP Bender et al. 1975: 123 Bird et al. 2022
WIS-695 NA SEEDS Zea mays RADIOMETRIC 770±55 BP 787–570 cal BP Bender et al. 1975: 123; Ancient Maize Database Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Hart et al. 2002]
  • No bibliographic information available. [Bender et al. 1973: 613-614]
  • No bibliographic information available. [Bender et al. 1975: 123]
  • No bibliographic information available. [Bender et al. 1975: 123; Ancient Maize Database]
  • 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{Hart et al. 2002,
  
}
@misc{Bender et al. 1973: 613-614,
  
}
@misc{Bender et al. 1975: 123,
  
}
@misc{Bender et al. 1975: 123; Ancient Maize Database,
  
}
@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":"Hart et al. 2002","bibtex_type":"misc"}{"bibtex_key":"Bender et al. 1973: 613-614","bibtex_type":"misc"}{"bibtex_key":"Bender et al. 1975: 123","bibtex_type":"misc"}{"bibtex_key":"Bender et al. 1975: 123; Ancient Maize Database","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: Hart et al. 2002
:bibtex_type: :misc
---
:bibtex_key: 'Bender et al. 1973: 613-614'
:bibtex_type: :misc
---
:bibtex_key: 'Bender et al. 1975: 123'
:bibtex_type: :misc
---
:bibtex_key: 'Bender et al. 1975: 123; Ancient Maize Database'
: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