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 NA charcoal; charbon de bois NA NA 2350±90 BP 2715–2150 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
I-4355 NA charcoal; charbon de bois NA NA 1340±100 BP 1410–977 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
I-4356 NA charcoal; charbon de bois NA NA 1850±100 BP 1992–1538 cal BP Buckley and Willis 1972: 125 Bird et al. 2022
WSU-119 NA charcoal; charbon de bois NA NA 230±40 BP 429–73 cal BP Haggarty and Sendy 1976; Wilmeth 1978a; Hanson 1991; Kigoshi et al. 1973; Faunmap 4079 Bird et al. 2022
WSU-123 NA charcoal; charbon de bois NA NA 1330±60 BP 1348–1077 cal BP Chatters 1968: 485 Bird et al. 2022
WSU-3206 NA charcoal; charbon de bois NA NA 2000±70 BP 2115–1745 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3207 NA charcoal; charbon de bois NA NA 380±80 BP 543–156 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3210 NA charcoal; charbon de bois NA NA 1430±65 BP 1510–1177 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3211 NA charcoal; charbon de bois NA NA 1565±65 BP 1568–1309 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3212 NA charcoal; charbon de bois NA NA 1290±70 BP 1341–1058 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3213 NA charcoal; charbon de bois NA NA 1510±55 BP 1518–1305 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3214 NA charcoal; charbon de bois NA NA 1520±55 BP 1519–1309 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3215 NA charcoal; charbon de bois NA NA 2720±80 BP 3059–2720 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3216 NA charcoal; charbon de bois NA NA 2710±60 BP 2945–2741 cal BP Hylkema M. 1991 Bird et al. 2022
WSU-3261 NA charcoal; charbon de bois NA NA 1115±70 BP 1247–833 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3262 NA charcoal; charbon de bois NA NA 1200±95 BP 1291–934 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3263 NA charcoal; charbon de bois NA NA 2550±155 BP 2998–2159 cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-3264 NA charcoal; charbon de bois NA NA 2040±60 BP 2145–1829 cal BP Laylander D. 1986 Bird et al. 2022
WSU-451 NA charcoal; charbon de bois NA NA 240±150 BP can not be calculated cal BP Ackerman 1988; Chatters 1968: 479 Bird et al. 2022
WSU-452 NA charcoal; charbon de bois NA NA 1260±270 BP 1700–674 cal 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{Lyman 2001; Reid and Gallison 1996,
  
}
@misc{Buckley and Willis 1972: 125,
  
}
@misc{Ackerman 1988; Chatters 1968: 479,
  
}
@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{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":"Lyman 2001; Reid and Gallison 1996","bibtex_type":"misc"}{"bibtex_key":"Buckley and Willis 1972: 125","bibtex_type":"misc"}{"bibtex_key":"Ackerman 1988; Chatters 1968: 479","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":"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: Lyman 2001; Reid and Gallison 1996
:bibtex_type: :misc
---
:bibtex_key: 'Buckley and Willis 1972: 125'
:bibtex_type: :misc
---
:bibtex_key: 'Ackerman 1988; Chatters 1968: 479'
: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: 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