Site type

Location

Coordinates (degrees)
048.154° N, 068.122° W
Coordinates (DMS)
048° 09' 00" W, 068° 07' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (13)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-70231 NA charbon de bois; charcoal NA NA 80±70 BP 280–5 cal BP Clermont 1995; Plourde 2001; Tremblay 1993a 1999 Bird et al. 2022
GaK-3793 NA charbon de bois; charcoal NA NA 1600±90 BP 1697–1309 cal BP Wilmeth 1978; Cooper and Savage 1994; Donaldson and Wortner 1995; Lovis and Robertson 1989 Bird et al. 2022
S-1048 NA charbon de bois; charcoal (10.25 g) NA NA 140±70 BP can not be calculated cal BP Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989 Bird et al. 2022
S-1050 NA charbon de bois; charcoal (6.04 g) NA NA 540±60 BP 652–495 cal BP Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989 Bird et al. 2022
S-1051 NA charbon de bois; charcoal (4.97 g) NA NA 710±60 BP 730–554 cal BP Rutherford et al. 1981; McNeely 1989; Gordon 1976 1996 Bird et al. 2022
S-1151 NA charbon de bois; charcoal (6.0 g) NA NA 270±60 BP 490–142 cal BP Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989 Bird et al. 2022
S-1152 NA charbon de bois; charcoal (6.0 g) NA NA 310±60 BP 502–152 cal BP Rutherford et al. 1979; Taillon et Barrà 1987 Bird et al. 2022
S-1927 NA os calcinés; calcined bone NA NA 1790±290 BP 2407–1065 cal BP Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989 Bird et al. 2022
S-1928 NA os calcinés; calcined bone NA NA 810±510 BP 1691–1671 cal BP Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989 Bird et al. 2022
S-1929 NA os calcinés; calcined bone NA NA 5410±1310 BP 8972–2961 cal BP Wilmeth 1978; Rutherford et al. 1975; Lowdon et al. 1970; MacNeish 1964; Faunmap 3712 Bird et al. 2022
S-1930 NA os calcinés; calcined bone NA NA 2950±490 BP 4405–1932 cal BP Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989 Bird et al. 2022
S-1931 NA os calcinés; calcined bone NA NA 1090±230 BP 1406–563 cal BP Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989 Bird et al. 2022
S-1932 NA os calcinés; calcined bone NA NA 6310±160 BP 7557–6800 cal BP Rutherford et al. 1984; Taillon et Barrà 1987; Marois et Gauthier 1989 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Clermont 1995; Plourde 2001; Tremblay 1993a 1999,
  
}
@misc{Wilmeth 1978; Rutherford et al. 1975; Lowdon et al. 1970; MacNeish 1964; Faunmap 3712,
  
}
@misc{Rutherford et al. 1981; McNeely 1989; Gordon 1976 1996,
  
}
@misc{Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989,
  
}
@misc{Wilmeth 1978; Cooper and Savage 1994; Donaldson and Wortner 1995; Lovis and Robertson 1989,
  
}
@misc{Rutherford et al. 1979; Taillon et Barrà 1987,
  
}
@misc{Rutherford et al. 1984; Taillon et Barrà 1987; Marois et Gauthier 1989,
  
}
@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":"Clermont 1995; Plourde 2001; Tremblay 1993a 1999","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Rutherford et al. 1975; Lowdon et al. 1970; MacNeish 1964; Faunmap 3712","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1981; McNeely 1989; Gordon 1976 1996","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Cooper and Savage 1994; Donaldson and Wortner 1995; Lovis and Robertson 1989","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1979; Taillon et Barrà 1987","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984; Taillon et Barrà 1987; Marois et Gauthier 1989","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: Clermont 1995; Plourde 2001; Tremblay 1993a 1999
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Rutherford et al. 1975; Lowdon et al. 1970; MacNeish 1964;
  Faunmap 3712
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1981; McNeely 1989; Gordon 1976 1996
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier
  1989
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Cooper and Savage 1994; Donaldson and Wortner 1995; Lovis
  and Robertson 1989
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1979; Taillon et Barrà 1987
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984; Taillon et Barrà 1987; Marois et Gauthier 1989
: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