Site type

Location

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 (18)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-3074 NA saiga bone collagen; collagène osseux de saéga NA NA 12620±110 BP 15315–14344 cal BP Harington 2003: 463; Guthrie et al. 2001 Bird et al. 2022
AA-3075 NA saiga bone collagen; collagène osseux de saéga NA NA 12390±120 BP 14981–14085 cal BP Harington 2003: 463; Guthrie et al. 2001 Bird et al. 2022
AA-3076 NA saiga bone collagen; collagène osseux de saéga NA NA 31390±780 BP 37470–34314 cal BP Harington 2003: 462; Guthrie et al. 2001 Bird et al. 2022
DIC-3095 NA horse bone collagen; collagène osseux de cheval NA NA 37320±1780 BP 44294–38400 cal BP Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2003: 403 Bird et al. 2022
DIC-3096 NA horse bone collagen; collagène osseux de cheval NA NA 18640±205 BP 22970–22213 cal BP Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2003: 403 Bird et al. 2022
DIC-3097 NA horse bone collagen; collagène osseux de cheval NA NA 26830±1230 BP 33861–28690 cal BP Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2003: 403 Bird et al. 2022
GSC-2130 NA organic matter; matiére organique NA NA 6410±120 BP 7566–7016 cal BP Rutherford et al. 1981; McNeely 1989; Gordon 1976 1996 Bird et al. 2022
I-10649 NA muskox bone collagen; collagène osseux de boeuf musqué NA NA 20500±390 BP 25610–23827 cal BP Harington 2003: 396; Young et al. 1994; Burns 1996; Faunmap 3486 Bird et al. 2022
I-8582 NA bison bone collagen; collagène osseux de bison NA NA 10370±160 BP 12709–11625 cal BP Matheus 1995; Harington 1980 1997 2002; Faunmap 3512 Bird et al. 2022
I-9998 NA wapiti bone collagen; collagène osseux de wapiti NA NA 10050±150 BP 12430–11193 cal BP Niemeyer y Schiappacasse 1977 Bird et al. 2022
SI-355 NA horse bone collagen; collagène osseux de cheval NA NA 26840±300 BP 31435–30331 cal BP Loring and Cox 1986 Bird et al. 2022
USGS-1255 NA plant remains; restes de plantes NA NA 9560±80 BP 11174–10660 cal BP Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2001 Bird et al. 2022
USGS-1256 NA spruce wood; bois d'épinette NA NA 7110±90 BP 8165–7731 cal BP Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2001 Bird et al. 2022
USGS-1257 NA wood; bois NA NA 6600±60 BP 7580–7421 cal BP Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2001 Bird et al. 2022
USGS-1258 NA peat; tourbe NA NA 8120±60 BP 9276–8784 cal BP Lyman 2001; Hutchinson 1992: 42; Robinson and Thompson 1981 Bird et al. 2022
USGS-370 NA spruce wood; bois d'épinette NA NA 4180±50 BP 4844–4572 cal BP Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2001 Bird et al. 2022
USGS-371 NA wood; bois NA NA 41000±2500 BP 48359–41045 cal BP Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2001 Bird et al. 2022
USGS-372 NA spruce wood; bois d'épinette NA NA 8620±375 BP 10570–8643 cal BP Lyman 2001; Blukis Onat 1976; Hutchinson 1992: 41; Sprague 1978: 114 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Harington 2003: 463; Guthrie et al. 2001,
  
}
@misc{Harington 2003: 462; Guthrie et al. 2001,
  
}
@misc{Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2003: 403,
  
}
@misc{Rutherford et al. 1981; McNeely 1989; Gordon 1976 1996,
  
}
@misc{Harington 2003: 396; Young et al. 1994; Burns 1996; Faunmap 3486,
  
}
@misc{Matheus 1995; Harington 1980 1997 2002; Faunmap 3512,
  
}
@misc{Niemeyer y Schiappacasse  1977,
  
}
@misc{Loring and Cox 1986,
  
}
@misc{Lyman 2001; Hutchinson 1992: 42; Robinson and Thompson 1981,
  
}
@misc{Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2001,
  
}
@misc{Lyman 2001; Blukis Onat 1976; Hutchinson 1992: 41; Sprague 1978: 114,
  
}
@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":"Harington 2003: 463; Guthrie et al. 2001","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 462; Guthrie et al. 2001","bibtex_type":"misc"}{"bibtex_key":"Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2003: 403","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1981; McNeely 1989; Gordon 1976 1996","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 396; Young et al. 1994; Burns 1996; Faunmap 3486","bibtex_type":"misc"}{"bibtex_key":"Matheus 1995; Harington 1980 1997 2002; Faunmap 3512","bibtex_type":"misc"}{"bibtex_key":"Niemeyer y Schiappacasse  1977","bibtex_type":"misc"}{"bibtex_key":"Loring and Cox 1986","bibtex_type":"misc"}{"bibtex_key":"Lyman 2001; Hutchinson 1992: 42; Robinson and Thompson 1981","bibtex_type":"misc"}{"bibtex_key":"Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson 1989: 74; Harington 1980b: 170 2001","bibtex_type":"misc"}{"bibtex_key":"Lyman 2001; Blukis Onat 1976; Hutchinson 1992: 41; Sprague 1978: 114","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: 'Harington 2003: 463; Guthrie et al. 2001'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 462; Guthrie et al. 2001'
:bibtex_type: :misc
---
:bibtex_key: 'Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson
  1989: 74; Harington 1980b: 170 2003: 403'
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1981; McNeely 1989; Gordon 1976 1996
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 396; Young et al. 1994; Burns 1996; Faunmap 3486'
:bibtex_type: :misc
---
:bibtex_key: Matheus 1995; Harington 1980 1997 2002; Faunmap 3512
:bibtex_type: :misc
---
:bibtex_key: Niemeyer y Schiappacasse  1977
:bibtex_type: :misc
---
:bibtex_key: Loring and Cox 1986
:bibtex_type: :misc
---
:bibtex_key: 'Lyman 2001; Hutchinson 1992: 42; Robinson and Thompson 1981'
:bibtex_type: :misc
---
:bibtex_key: 'Guthrie 1985; McDonald and Ray 1989; Porter 1988; Trimble and Robinson
  1989: 74; Harington 1980b: 170 2001'
:bibtex_type: :misc
---
:bibtex_key: 'Lyman 2001; Blukis Onat 1976; Hutchinson 1992: 41; Sprague 1978: 114'
: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