Site type

Location

Coordinates (degrees)
069.306° N, 153.455° W
Coordinates (DMS)
069° 18' 00" W, 153° 27' 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-88031 NA charcoal; charbon de bois NA NA 2220±50 BP 2344–2110 cal BP Charles personal communication Bird et al. 2022
Beta-97211 NA charcoal; charbon de bois NA NA 6960±90 BP 7958–7620 cal BP Hamilton and Goebel 1999; Pearson and Powers 1999 2001 Bird et al. 2022
GX-4252 NA charcoal; charbon de bois NA NA 1660±140 BP 1869–1296 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4253 NA charcoal; charbon de bois NA NA 1330±150 BP 1525–933 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4254 NA charcoal; charbon de bois NA NA 1665±165 BP 1942–1281 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4255 NA charcoal; charbon de bois NA NA 2135±135 BP 2430–1735 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4256 NA charcoal; charbon de bois NA NA 1975±125 BP 2304–1604 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4257 NA charcoal; charbon de bois NA NA 2540±185 BP 3068–2129 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4258 NA charcoal; charbon de bois NA NA 1100±160 BP 1299–723 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4259 NA charcoal; charbon de bois NA NA 1735±150 BP 1986–1315 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4260 NA charcoal; charbon de bois NA NA 2640±180 BP 3218–2315 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4261 NA charcoal; charbon de bois NA NA 2365±170 BP 2777–1948 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4262 NA charcoal; charbon de bois NA NA 1840±170 BP 2291–1375 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4263 NA charcoal; charbon de bois NA NA 970±160 BP 1260–574 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4264 NA charcoal; charbon de bois NA NA 2665±180 BP 3230–2338 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
GX-4265 NA charcoal; charbon de bois NA NA 1780±150 BP 2045–1350 cal BP Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Peak 1976 Bird et al. 2022
SI-972 NA charcoal; charbon de bois NA NA 2920±155 BP 3444–2753 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
SI-973 NA charcoal; charbon de bois NA NA 3280±155 BP 3908–3077 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
SI-974 NA charcoal; charbon de bois NA NA 10540±150 BP 12745–11948 cal BP Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982 Bird et al. 2022
SI-975 NA charcoal; charbon de bois NA NA 2620±175 BP 3200–2185 cal BP CARD Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{CARD,
  
}
@misc{Charles personal communication,
  
}
@misc{Hamilton and Goebel 1999; Pearson and Powers 1999 2001,
  
}
@misc{Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982,
  
}
@misc{Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Peak 1976,
  
}
@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":"CARD","bibtex_type":"misc"}{"bibtex_key":"Charles personal communication","bibtex_type":"misc"}{"bibtex_key":"Hamilton and Goebel 1999; Pearson and Powers 1999 2001","bibtex_type":"misc"}{"bibtex_key":"Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal 1982","bibtex_type":"misc"}{"bibtex_key":"Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Peak 1976","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: CARD
:bibtex_type: :misc
---
:bibtex_key: Charles personal communication
:bibtex_type: :misc
---
:bibtex_key: Hamilton and Goebel 1999; Pearson and Powers 1999 2001
:bibtex_type: :misc
---
:bibtex_key: Stuckenrath and Mielke 1973; Cook 1977; Dixon 1975; Ferguson 1997; Gal
  1982
:bibtex_type: :misc
---
:bibtex_key: Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Peak 1976
: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