Site type

Location

Coordinates (degrees)
043.721° N, 083.942° W
Coordinates (DMS)
043° 43' 00" W, 083° 56' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (10)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-17748 POTTERYRESIDUE NA AMS 1275±90 BP Stothers et al. 1994; Brashler 1973 1981; Lovis 1985b 1990b 1990c Bird et al. 2022
Beta-17749 POTTERYRESIDUE NA AMS 1065±95 BP Stothers et al. 1994; Brashler 1973 1981; Lovis 1985b 1990b 1990c Bird et al. 2022
Beta-17751 POTTERYRESIDUE NA AMS 785±85 BP Stothers et al. 1994; Brashler 1973 1981; Lovis 1985b 1990b 1990c Bird et al. 2022
Beta-17752 POTTERYRESIDUE NA AMS 1830±85 BP Stothers et al. 1994; Brashler 1973 1981; Lovis 1985b 1990b 1990c Bird et al. 2022
RL-560 bison bone collagen; collagène osseux de bison NA NA 6040±170 BP Miller Jornada Database Bird et al. 2022
S-1081 bison bone collagen; collagène osseux de bison NA NA 1755±145 BP Brumley and Rushworth 1983; Forbis 1968; Quigg 1976; Rutherford et al. 1981; Vickers and Beaudoin 1989; Wilson et al. 1991; Faunmap 3920; Harington 2003: 434 Bird et al. 2022
S-1082 bison bone collagen; collagène osseux de bison NA NA 4550±120 BP Brumley and Rushworth 1983; Forbis 1968; Quigg 1976; Rutherford et al. 1981; Vickers and Beaudoin 1989; Wilson et al. 1991; Faunmap 3920; Harington 2003: 434 Bird et al. 2022
S-1083 bison bone collagen; collagène osseux de bison NA NA 4210±115 BP Brumley and Rushworth 1983; Forbis 1968; Quigg 1976; Rutherford et al. 1981; Vickers and Beaudoin 1989; Wilson et al. 1991; Faunmap 3920; Harington 2003: 431 Bird et al. 2022
S-1084 bison bone collagen; collagène osseux de bison NA NA 7735±110 BP McCallum and Wittenberg 1962; Lenius and Olinyk 1990 Bird et al. 2022
TO-1097 plant remains; restes de plantes NA NA 9380±110 BP Chabai V. 2002. Germania 80: 441-473. Yevtushenko A.. 2004. In: Conard N. Settlement Dynamics of the Middle Paleolithic and Middle Stone Age II: 151-163.. Burke A. 2006. JAA 25: 510-523.. Andersen K. 2008. JAA 35:2274-2285. Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Stothers et al. 1994; Brashler 1973 1981; Lovis 1985b 1990b 1990c,
  
}
@misc{Miller Jornada Database,
  
}
@misc{Brumley and Rushworth 1983; Forbis 1968; Quigg 1976; Rutherford et al. 1981; Vickers and Beaudoin 1989; Wilson et al. 1991; Faunmap 3920; Harington 2003: 434,
  
}
@misc{Brumley and Rushworth 1983; Forbis 1968; Quigg 1976; Rutherford et al. 1981; Vickers and Beaudoin 1989; Wilson et al. 1991; Faunmap 3920; Harington 2003: 431,
  
}
@misc{McCallum and Wittenberg 1962; Lenius and Olinyk 1990,
  
}
@misc{Chabai V.  2002. Germania 80: 441-473. Yevtushenko A..  2004. In: Conard N. Settlement Dynamics of the Middle Paleolithic and Middle Stone Age II: 151-163.. Burke A. 2006. JAA 25: 510-523.. Andersen K. 2008. JAA 35:2274-2285.,
  
}
@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":"Stothers et al. 1994; Brashler 1973 1981; Lovis 1985b 1990b 1990c","bibtex_type":"misc"}{"bibtex_key":"Miller Jornada Database","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Forbis 1968; Quigg 1976; Rutherford et al. 1981; Vickers and Beaudoin 1989; Wilson et al. 1991; Faunmap 3920; Harington 2003: 434","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Forbis 1968; Quigg 1976; Rutherford et al. 1981; Vickers and Beaudoin 1989; Wilson et al. 1991; Faunmap 3920; Harington 2003: 431","bibtex_type":"misc"}{"bibtex_key":"McCallum and Wittenberg 1962; Lenius and Olinyk 1990","bibtex_type":"misc"}{"bibtex_key":"Chabai V.  2002. Germania 80: 441-473. Yevtushenko A..  2004. In: Conard N. Settlement Dynamics of the Middle Paleolithic and Middle Stone Age II: 151-163.. Burke A. 2006. JAA 25: 510-523.. Andersen K. 2008. JAA 35:2274-2285.","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: Stothers et al. 1994; Brashler 1973 1981; Lovis 1985b 1990b 1990c
:bibtex_type: :misc
---
:bibtex_key: Miller Jornada Database
:bibtex_type: :misc
---
:bibtex_key: 'Brumley and Rushworth 1983; Forbis 1968; Quigg 1976; Rutherford et al.
  1981; Vickers and Beaudoin 1989; Wilson et al. 1991; Faunmap 3920; Harington 2003:
  434'
:bibtex_type: :misc
---
:bibtex_key: 'Brumley and Rushworth 1983; Forbis 1968; Quigg 1976; Rutherford et al.
  1981; Vickers and Beaudoin 1989; Wilson et al. 1991; Faunmap 3920; Harington 2003:
  431'
:bibtex_type: :misc
---
:bibtex_key: McCallum and Wittenberg 1962; Lenius and Olinyk 1990
:bibtex_type: :misc
---
:bibtex_key: 'Chabai V.  2002. Germania 80: 441-473. Yevtushenko A..  2004. In: Conard
  N. Settlement Dynamics of the Middle Paleolithic and Middle Stone Age II: 151-163..
  Burke A. 2006. JAA 25: 510-523.. Andersen K. 2008. JAA 35:2274-2285.'
: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