Site type

Location

Coordinates (degrees)
058.645° N, 156.182° W
Coordinates (DMS)
058° 38' 00" W, 156° 10' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (13)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
DIC-2662 charcoal; charbon de bois NA NA 340±60 BP Mills 1994; Dumond 1981; Harritt 1988; Stuiver and Deevey 1962: 256; Trautman 1964: 274 Bird et al. 2022
DIC-2663 charcoalé; charbon de boisé NA NA 330±60 BP Mills 1994; Dumond 1981; Harritt 1988; Stuiver and Deevey 1962: 256; Trautman 1964: 274 Bird et al. 2022
DIC-2664 charcoal; charbon de bois NA NA 250±55 BP Funk 1993 Bird et al. 2022
DIC-2826 wood; bois NA NA 110±65 BP Mills 1994; Harritt 1988 Bird et al. 2022
DIC-2865 charcoal; charbon de bois NA NA 270±50 BP Mills 1994; Dumond 1981; Harritt 1988; Stuiver and Deevey 1962: 256; Trautman 1964: 274 Bird et al. 2022
DIC-2911 charcoal; charbon de bois NA NA 160±55 BP Drass 1999 Bird et al. 2022
I-209 charred wood; bois carbonisé NA NA 230±80 BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
WSU-2588 charcoalé; charbon de boisé NA NA 400±70 BP Mills 1994; Dumond 1981; Harritt 1988; Stuiver and Deevey 1962: 256; Trautman 1964: 274 Bird et al. 2022
WSU-2592 charcoalé; charbon de boisé NA NA 230±65 BP Mills 1994; Dumond 1981; Harritt 1988; Stuiver and Deevey 1962: 256; Trautman 1964: 274 Bird et al. 2022
WSU-2593 charcoalé; charbon de boisé NA NA 805±65 BP CARD Bird et al. 2022
Y-930 charcoal; charbon de bois NA NA 3972±440 BP Mills 1994; Dumond 1981; Harritt 1988; Stuiver and Deevey 1962: 256; Trautman 1964: 274 Bird et al. 2022
Y-931 peat; tourbe NA NA 3860±90 BP Mills 1994; Dumond 1981; Harritt 1988; Stuiver and Deevey 1962: 256; Trautman 1964: 274 Bird et al. 2022
Y-932 charcoal; charbon de bois NA NA 450±60 BP Dent 1995; Custer 1989; Stuiver et al. 1963: 330 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Mills 1994; Dumond 1981; Harritt 1988; Stuiver and Deevey 1962: 256; Trautman 1964: 274,
  
}
@misc{Funk 1993,
  
}
@misc{Mills 1994; Harritt 1988,
  
}
@misc{Drass 1999,
  
}
@misc{Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277,
  
}
@misc{CARD,
  
}
@misc{Dent 1995; Custer 1989; Stuiver et al. 1963: 330,
  
}
@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":"Mills 1994; Dumond 1981; Harritt 1988; Stuiver and Deevey 1962: 256; Trautman 1964: 274","bibtex_type":"misc"}{"bibtex_key":"Funk 1993","bibtex_type":"misc"}{"bibtex_key":"Mills 1994; Harritt 1988","bibtex_type":"misc"}{"bibtex_key":"Drass 1999","bibtex_type":"misc"}{"bibtex_key":"Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277","bibtex_type":"misc"}{"bibtex_key":"CARD","bibtex_type":"misc"}{"bibtex_key":"Dent 1995; Custer 1989; Stuiver et al. 1963: 330","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: 'Mills 1994; Dumond 1981; Harritt 1988; Stuiver and Deevey 1962: 256;
  Trautman 1964: 274'
:bibtex_type: :misc
---
:bibtex_key: Funk 1993
:bibtex_type: :misc
---
:bibtex_key: Mills 1994; Harritt 1988
:bibtex_type: :misc
---
:bibtex_key: Drass 1999
:bibtex_type: :misc
---
:bibtex_key: 'Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman
  1964: 274-277'
:bibtex_type: :misc
---
:bibtex_key: CARD
:bibtex_type: :misc
---
:bibtex_key: 'Dent 1995; Custer 1989; Stuiver et al. 1963: 330'
: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