Site type

Location

Coordinates (degrees)
048.826° N, 121.716° W
Coordinates (DMS)
048° 49' 00" W, 121° 42' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (20)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-175670 NA CHARCOAL NA NA 1800±40 BP 1821–1598 cal BP Smith et al. 2004 Bird et al. 2022
Beta-259403 NA CHARCOAL NA AMS 490±40 BP 623–480 cal BP Arthur and Baldwin 2009a Bird et al. 2022
Beta-259404 NA CHARCOAL NA AMS 580±40 BP 649–526 cal BP Arthur and Baldwin 2009b Bird et al. 2022
Beta-286447 NA SHELL NA RADIOMETRIC 1750±40 BP 1714–1545 cal BP Baldwin et al. 2010 Bird et al. 2022
Beta-286448 NA CHARCOAL NA RADIOMETRIC 790±50 BP 789–655 cal BP Baldwin et al. 2010 Bird et al. 2022
Beta-286449 NA SHELL NA RADIOMETRIC 1730±50 BP 1719–1530 cal BP Baldwin et al. 2010 Bird et al. 2022
Beta-287562 NA SHELL NA RADIOMETRIC 1890±50 BP 1930–1704 cal BP Meidinger and Mather 2010b Bird et al. 2022
Beta-287563 NA SHELL NA RADIOMETRIC 1690±40 BP 1701–1479 cal BP Meidinger and Mather 2010b Bird et al. 2022
Beta-287564 NA BONE Canis AMS 1280±40 BP 1292–1080 cal BP Meidinger et al. 2011a Bird et al. 2022
Beta-287565 NA SHELL NA RADIOMETRIC 1520±40 BP 1518–1311 cal BP Meidinger et al. 2011a Bird et al. 2022
Beta-290597 NA CHARCOAL NA RADIOMETRIC 210±40 BP 420–67 cal BP Moreno et al. 2011b Bird et al. 2022
Beta-290598 NA SHELL NA RADIOMETRIC 1460±40 BP 1395–1298 cal BP Moreno et al 2011a Bird et al. 2022
Beta-300137 NA SHELL NA RADIOMETRIC 2910±60 BP 3215–2876 cal BP Arthur and Baldwin 2011a Bird et al. 2022
Beta-301251 NA SHELL NA RADIOMETRIC 2790±50 BP 3003–2765 cal BP Arthur and Baldwin 2011b Bird et al. 2022
Beta-301252 NA SHELL NA RADIOMETRIC 2610±50 BP 2848–2500 cal BP Arthur and Baldwin 2011b Bird et al. 2022
Beta-301436 NA SHELL NA RADIOMETRIC 2200±50 BP 2338–2060 cal BP Moreno et al. 2011b Bird et al. 2022
Beta-301437 NA SHELL NA RADIOMETRIC 2110±50 BP 2302–1940 cal BP Moreno et al. 2011b Bird et al. 2022
CAMS-15392 NA marine shell; coquillage NA NA 2110±65 BP 2310–1893 cal BP Southon and Fedje 2000 Bird et al. 2022
S-18 NA charcoal; charbon de bois NA NA 2450±160 BP 2869–2105 cal BP Rains and Welch 1988 Bird et al. 2022
S-19 NA charcoal; charbon de bois NA NA 1580±140 BP 1818–1178 cal BP Vickers 1986; Wormington and Forbis 1965; Rutherford et al. 1984 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Smith et al. 2004,
  
}
@misc{Arthur and Baldwin 2009a,
  
}
@misc{Arthur and Baldwin 2009b,
  
}
@misc{Baldwin et al. 2010,
  
}
@misc{Meidinger and Mather 2010b,
  
}
@misc{Meidinger et al. 2011a,
  
}
@misc{Moreno et al. 2011b,
  
}
@misc{Moreno et al 2011a,
  
}
@misc{Arthur and Baldwin 2011a,
  
}
@misc{Arthur and Baldwin 2011b,
  
}
@misc{Southon and Fedje 2000,
  
}
@misc{Rains and Welch 1988,
  
}
@misc{Vickers 1986; Wormington and Forbis 1965; Rutherford et al. 1984,
  
}
@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":"Smith et al. 2004","bibtex_type":"misc"}{"bibtex_key":"Arthur and Baldwin 2009a","bibtex_type":"misc"}{"bibtex_key":"Arthur and Baldwin 2009b","bibtex_type":"misc"}{"bibtex_key":"Baldwin et al. 2010","bibtex_type":"misc"}{"bibtex_key":"Meidinger and Mather 2010b","bibtex_type":"misc"}{"bibtex_key":"Meidinger et al. 2011a","bibtex_type":"misc"}{"bibtex_key":"Moreno et al. 2011b","bibtex_type":"misc"}{"bibtex_key":"Moreno et al 2011a","bibtex_type":"misc"}{"bibtex_key":"Arthur and Baldwin 2011a","bibtex_type":"misc"}{"bibtex_key":"Arthur and Baldwin 2011b","bibtex_type":"misc"}{"bibtex_key":"Southon and Fedje 2000","bibtex_type":"misc"}{"bibtex_key":"Rains and Welch 1988","bibtex_type":"misc"}{"bibtex_key":"Vickers 1986; Wormington and Forbis 1965; Rutherford et al. 1984","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: Smith et al. 2004
:bibtex_type: :misc
---
:bibtex_key: Arthur and Baldwin 2009a
:bibtex_type: :misc
---
:bibtex_key: Arthur and Baldwin 2009b
:bibtex_type: :misc
---
:bibtex_key: Baldwin et al. 2010
:bibtex_type: :misc
---
:bibtex_key: Meidinger and Mather 2010b
:bibtex_type: :misc
---
:bibtex_key: Meidinger et al. 2011a
:bibtex_type: :misc
---
:bibtex_key: Moreno et al. 2011b
:bibtex_type: :misc
---
:bibtex_key: Moreno et al 2011a
:bibtex_type: :misc
---
:bibtex_key: Arthur and Baldwin 2011a
:bibtex_type: :misc
---
:bibtex_key: Arthur and Baldwin 2011b
:bibtex_type: :misc
---
:bibtex_key: Southon and Fedje 2000
:bibtex_type: :misc
---
:bibtex_key: Rains and Welch 1988
:bibtex_type: :misc
---
:bibtex_key: Vickers 1986; Wormington and Forbis 1965; Rutherford et al. 1984
: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