Site type

Location

200 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
063.877° N, 143.207° W
Coordinates (DMS)
063° 52' 00" W, 143° 12' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (10)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-19322 soot or ash; suie ou cendre NA NA 11770±140 BP 14010–13345 cal BP Bigelow and Powers 2001; Holmes 1998 2001; Holmes et al. 1996: 321; Faunmap 4406 Bird et al. 2022
Beta-56666 charcoal; charbon de bois NA NA 10230±80 BP 12465–11508 cal BP Bigelow and Powers 2001; Holmes 1998 2001; Holmes et al. 1996: 321; Faunmap 4406 Bird et al. 2022
Beta-56667 charcoal; charbon de bois NA NA 11660±70 BP 13738–13349 cal BP McMillan 1999 Bird et al. 2022
Beta-71372 willow charcoal; charbon de saule NA NA 11660±60 BP 13731–13357 cal BP Peak A. S. 1984 Bird et al. 2022
NSRL-2001 mammoth bone collagen; collagène osseux de mammouth NA NA 12060±70 BP 14070–13795 cal BP CARD Bird et al. 2022
WSU-4426 charcoal; charbon de bois NA NA 7400±80 BP 8360–8035 cal BP Lyman 2001 Bird et al. 2022
WSU-4521 charcoal; charbon de bois NA NA 1750±80 BP 1829–1416 cal BP Holmes et al. 1996: 321; Holmes 2001 Bird et al. 2022
WSU-4522 charcoal; charbon de bois NA NA 1670±60 BP 1700–1410 cal BP Holmes et al. 1996: 321; Holmes 2001 Bird et al. 2022
WSU-4523 birch charcoal; charbon de bouleau NA NA 1220±70 BP 1285–974 cal BP Holmes et al. 1996: 321; Holmes 2001 Bird et al. 2022
WSU-4524 spruce charcoal; charbon d'épinette NA NA 1570±70 BP 1586–1309 cal BP Lyman 2001; Reid and Gallison 1996 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Bigelow and Powers 2001; Holmes 1998 2001; Holmes et al. 1996: 321; Faunmap 4406,
  
}
@misc{McMillan 1999,
  
}
@misc{Peak A. S. 1984,
  
}
@misc{CARD,
  
}
@misc{Lyman 2001,
  
}
@misc{Holmes et al. 1996: 321; Holmes 2001,
  
}
@misc{Lyman 2001; Reid and Gallison 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":"Bigelow and Powers 2001; Holmes 1998 2001; Holmes et al. 1996: 321; Faunmap 4406","bibtex_type":"misc"}{"bibtex_key":"McMillan 1999","bibtex_type":"misc"}{"bibtex_key":"Peak A. S. 1984","bibtex_type":"misc"}{"bibtex_key":"CARD","bibtex_type":"misc"}{"bibtex_key":"Lyman 2001","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":"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: 'Bigelow and Powers 2001; Holmes 1998 2001; Holmes et al. 1996: 321;
  Faunmap 4406'
:bibtex_type: :misc
---
:bibtex_key: McMillan 1999
:bibtex_type: :misc
---
:bibtex_key: Peak A. S. 1984
:bibtex_type: :misc
---
:bibtex_key: CARD
:bibtex_type: :misc
---
:bibtex_key: Lyman 2001
: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: 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