Site type

Location

Coordinates (degrees)
062.316° N, 149.570° W
Coordinates (DMS)
062° 18' 00" W, 149° 34' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (11)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-7300 NA charcoal; charbon de bois NA NA 3290±60 BP 3683–3389 cal BP Lyman 2001; Whitlam 2000 Bird et al. 2022
Beta-7301 NA charcoalé; charbon de boisé NA NA 2690±70 BP 2964–2623 cal BP Dixon 1985 p.c. 2000; Galloway 1987 Bird et al. 2022
Beta-7302 NA charcoal; charbon de bois NA NA 5130±140 BP 6260–5594 cal BP Kibler 1999 Bird et al. 2022
Beta-7685 NA charcoal; charbon de bois NA NA 3180±170 BP 3830–2955 cal BP Baumler and Eckerle 1999 Bird et al. 2022
Beta-7686 NA charcoal; charbon de bois NA NA 3290±130 BP 3848–3210 cal BP Broughton 1999 Bird et al. 2022
Beta-7687 NA charcoal; charbon de bois NA NA 3160±70 BP 3558–3178 cal BP CARD Bird et al. 2022
Beta-7689 NA charcoalé; charbon de boisé NA NA 1730±120 BP 1888–1365 cal BP Dixon 1985 p.c. 2000; Galloway 1987 Bird et al. 2022
Beta-7690 NA charcoal; charbon de bois NA NA 3270±90 BP 3814–3257 cal BP Robinson Bird et al. 2022
Beta-7691 NA charcoalé; charbon de boisé NA NA 1870±120 BP 2105–1526 cal BP Dixon 1985; Galloway 1987 Bird et al. 2022
DIC-1877 NA charcoal; charbon de bois NA NA 2310±220 BP 2847–1749 cal BP E.J. Dixon p.c. 2000 Bird et al. 2022
DIC-1880 NA charcoal; charbon de bois NA NA 4720±130 BP 5725–5043 cal BP Faunmap 1913 Lafferty and Price 1996 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{CARD,
  
}
@misc{Robinson,
  
}
@misc{Lyman 2001; Whitlam 2000,
  
}
@misc{Dixon 1985; Galloway 1987,
  
}
@misc{Kibler 1999,
  
}
@misc{Dixon 1985 p.c. 2000; Galloway 1987,
  
}
@misc{Baumler and Eckerle 1999,
  
}
@misc{Broughton 1999,
  
}
@misc{E.J. Dixon p.c. 2000,
  
}
@misc{Faunmap 1913 Lafferty and Price 1996,
  
}
@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":"Robinson","bibtex_type":"misc"}{"bibtex_key":"Lyman 2001; Whitlam 2000","bibtex_type":"misc"}{"bibtex_key":"Dixon 1985; Galloway 1987","bibtex_type":"misc"}{"bibtex_key":"Kibler 1999","bibtex_type":"misc"}{"bibtex_key":"Dixon 1985 p.c. 2000; Galloway 1987","bibtex_type":"misc"}{"bibtex_key":"Baumler and Eckerle 1999","bibtex_type":"misc"}{"bibtex_key":"Broughton 1999","bibtex_type":"misc"}{"bibtex_key":"E.J. Dixon p.c. 2000","bibtex_type":"misc"}{"bibtex_key":"Faunmap 1913 Lafferty and Price 1996","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: Robinson
:bibtex_type: :misc
---
:bibtex_key: Lyman 2001; Whitlam 2000
:bibtex_type: :misc
---
:bibtex_key: Dixon 1985; Galloway 1987
:bibtex_type: :misc
---
:bibtex_key: Kibler 1999
:bibtex_type: :misc
---
:bibtex_key: Dixon 1985 p.c. 2000; Galloway 1987
:bibtex_type: :misc
---
:bibtex_key: Baumler and Eckerle 1999
:bibtex_type: :misc
---
:bibtex_key: Broughton 1999
:bibtex_type: :misc
---
:bibtex_key: E.J. Dixon p.c. 2000
:bibtex_type: :misc
---
:bibtex_key: Faunmap 1913 Lafferty and Price 1996
: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