Site type

Location

Coordinates (degrees)
043.064° N, 118.968° W
Coordinates (DMS)
043° 03' 00" W, 118° 58' 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-106449 NA TEXTILE Twining AMS 1073±64 BP 1176–797 cal BP U of O 2015 Bird et al. 2022
AA-106450 NA TEXTILE Cordage AMS 1270±25 BP 1281–1130 cal BP U of O 2015 Bird et al. 2022
AA-106451 NA TEXTILE Twining AMS 1851±31 BP 1829–1703 cal BP U of O 2015 Bird et al. 2022
AA-30056 NA TEXTILE Plant sagebrush sandal AMS 8308±43 BP 9443–9138 cal BP ConnollyBarker2004 ConnollyCannon1999 ConnollyCannon2000 Bird et al. 2022
AA-66187 NA TEXTILE NA AMS 510±41 BP 627–495 cal BP Connolly 2013 Bird et al. 2022
AA-66189 NA TEXTILE NA AMS 1850±42 BP 1869–1625 cal BP Connolly 2013 Bird et al. 2022
AA-66190 NA TEXTILE NA AMS 1005±36 BP 960–793 cal BP Connolly 2013 Bird et al. 2022
AA-66191 NA TEXTILE NA AMS 2022±46 BP 2102–1832 cal BP Connolly 2013 Bird et al. 2022
AA-66192 NA TEXTILE NA AMS 1286±83 BP 1346–995 cal BP Connolly 2013 Bird et al. 2022
AA-98326 NA TEXTILE Cordage AMS 1330±35 BP 1303–1176 cal BP U of O 2012 Bird et al. 2022
AA-99758 NA TEXTILE Twining AMS 926±38 BP 918–740 cal BP U 0f O 2012 Bird et al. 2022
Beta-147426 NA TEXTILE Plant sagebrush sandal NA 2260±50 BP 2351–2146 cal BP ConnollyBarker2004 (table 2) ConnollyCannon2000 ConnollyCannon1999 Bird et al. 2022
Beta-240511 NA TEXTILE NA AMS 1900±40 BP 1922–1716 cal BP Connolly 2013 Bird et al. 2022
Beta-249774 NA TEXTILE NA AMS 1850±40 BP 1867–1629 cal BP Connolly 2013 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{U of O 2015,
  
}
@misc{ConnollyBarker2004 ConnollyCannon1999 ConnollyCannon2000,
  
}
@misc{Connolly 2013,
  
}
@misc{U of O 2012,
  
}
@misc{U 0f O 2012,
  
}
@misc{ConnollyBarker2004 (table 2) ConnollyCannon2000 ConnollyCannon1999,
  
}
@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":"U of O 2015","bibtex_type":"misc"}{"bibtex_key":"ConnollyBarker2004 ConnollyCannon1999 ConnollyCannon2000","bibtex_type":"misc"}{"bibtex_key":"Connolly 2013","bibtex_type":"misc"}{"bibtex_key":"U of O 2012","bibtex_type":"misc"}{"bibtex_key":"U 0f O 2012","bibtex_type":"misc"}{"bibtex_key":"ConnollyBarker2004 (table 2) ConnollyCannon2000 ConnollyCannon1999","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: U of O 2015
:bibtex_type: :misc
---
:bibtex_key: ConnollyBarker2004 ConnollyCannon1999 ConnollyCannon2000
:bibtex_type: :misc
---
:bibtex_key: Connolly 2013
:bibtex_type: :misc
---
:bibtex_key: U of O 2012
:bibtex_type: :misc
---
:bibtex_key: U 0f O 2012
:bibtex_type: :misc
---
:bibtex_key: ConnollyBarker2004 (table 2) ConnollyCannon2000 ConnollyCannon1999
: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