Site type

Location

Coordinates (degrees)
060.919° N, 159.776° W
Coordinates (DMS)
060° 55' 00" W, 159° 46' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (32)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
I-4354 charcoal; charbon de bois NA NA 2350±90 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
I-4355 charcoal; charbon de bois NA NA 1340±100 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
I-4356 charcoal; charbon de bois NA NA 1850±100 BP Buckley and Willis 1972: 125 Bird et al. 2022
WSU-119 charcoal; charbon de bois NA NA 230±40 BP Haggarty and Sendy 1976; Wilmeth 1978a; Hanson 1991; Kigoshi et al. 1973; Faunmap 4079 Bird et al. 2022
WSU-123 charcoal; charbon de bois NA NA 1330±60 BP Chatters 1968: 485 Bird et al. 2022
WSU-3206 charcoal; charbon de bois NA NA 2000±70 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3207 charcoal; charbon de bois NA NA 380±80 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3210 charcoal; charbon de bois NA NA 1430±65 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3211 charcoal; charbon de bois NA NA 1565±65 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3212 charcoal; charbon de bois NA NA 1290±70 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3213 charcoal; charbon de bois NA NA 1510±55 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3214 charcoal; charbon de bois NA NA 1520±55 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3215 charcoal; charbon de bois NA NA 2720±80 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3216 charcoal; charbon de bois NA NA 2710±60 BP Hylkema M. 1991 Bird et al. 2022
WSU-3261 charcoal; charbon de bois NA NA 1115±70 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3262 charcoal; charbon de bois NA NA 1200±95 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3263 charcoal; charbon de bois NA NA 2550±155 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3264 charcoal; charbon de bois NA NA 2040±60 BP Laylander D. 1986 Bird et al. 2022
WSU-451 charcoal; charbon de bois NA NA 240±150 BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-452 charcoal; charbon de bois NA NA 1260±270 BP Holmes et al. 1996: 321; Holmes 2001 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Ackerman 1988; Chatters 1968: 479,
  
}
@misc{Buckley and Willis 1972: 125,
  
}
@misc{Haggarty and Sendy 1976;  Wilmeth 1978a;  Hanson 1991;  Kigoshi et al. 1973;  Faunmap 4079,
  
}
@misc{Chatters 1968: 485,
  
}
@misc{Hylkema M. 1991,
  
}
@misc{Laylander D. 1986,
  
}
@misc{Holmes et al. 1996: 321; Holmes 2001,
  
}
@misc{Lyman 2001; Reid and Gallison 1996,
  
}
@misc{Cambra et al. 1996,
  
}
@misc{Butler 1969 1978; Dort 1968; Miller and Dort 1978; Butler 1971a (arbitrary 10% error added since not reported),
  
}
@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":"Ackerman 1988; Chatters 1968: 479","bibtex_type":"misc"}{"bibtex_key":"Buckley and Willis 1972: 125","bibtex_type":"misc"}{"bibtex_key":"Haggarty and Sendy 1976;  Wilmeth 1978a;  Hanson 1991;  Kigoshi et al. 1973;  Faunmap 4079","bibtex_type":"misc"}{"bibtex_key":"Chatters 1968: 485","bibtex_type":"misc"}{"bibtex_key":"Hylkema M. 1991","bibtex_type":"misc"}{"bibtex_key":"Laylander D. 1986","bibtex_type":"misc"}{"bibtex_key":"Holmes et al. 1996: 321; Holmes 2001","bibtex_type":"misc"}{"bibtex_key":"Lyman 2001; Reid and Gallison 1996","bibtex_type":"misc"}{"bibtex_key":"Cambra et al. 1996","bibtex_type":"misc"}{"bibtex_key":"Butler 1969 1978; Dort 1968; Miller and Dort 1978; Butler 1971a (arbitrary 10% error added since not reported)","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: 'Ackerman 1988; Chatters 1968: 479'
:bibtex_type: :misc
---
:bibtex_key: 'Buckley and Willis 1972: 125'
:bibtex_type: :misc
---
:bibtex_key: Haggarty and Sendy 1976;  Wilmeth 1978a;  Hanson 1991;  Kigoshi et al.
  1973;  Faunmap 4079
:bibtex_type: :misc
---
:bibtex_key: 'Chatters 1968: 485'
:bibtex_type: :misc
---
:bibtex_key: Hylkema M. 1991
:bibtex_type: :misc
---
:bibtex_key: Laylander D. 1986
:bibtex_type: :misc
---
:bibtex_key: 'Holmes et al. 1996: 321; Holmes 2001'
:bibtex_type: :misc
---
:bibtex_key: Lyman 2001; Reid and Gallison 1996
:bibtex_type: :misc
---
:bibtex_key: Cambra et al. 1996
:bibtex_type: :misc
---
:bibtex_key: Butler 1969 1978; Dort 1968; Miller and Dort 1978; Butler 1971a (arbitrary
  10% error added since not reported)
: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