Site type

Location

Coordinates (degrees)
055.963° N, 073.011° W
Coordinates (DMS)
055° 57' 00" W, 073° 00' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (15)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Gif-1352 NA charbon de bois; charcoal NA NA 1450±90 BP 1532–1177 cal BP Taillon et Barrà 1987 Bird et al. 2022
Gif-1954 NA charbon de bois; charcoal NA NA 1090±90 BP 1247–790 cal BP Wilmeth 1978; Rutherford et al. 1981; Delibrias et al. 1974; Delibrias and Guillier 1988; Gilot 1971; Piàrard 1975; Plumet 1985 1994; Taillon et Barrà 1987 Bird et al. 2022
Gif-1955 NA restes d'animaux carbonisés; charred animal remains NA NA 2100±95 BP 2328–1835 cal BP Wilmeth 1978; Rutherford et al. 1981; Delibrias et al. 1974; Delibrias and Guillier 1988; Gilot 1971; Piàrard 1975; Plumet 1985 1994; Taillon et Barrà 1987 Bird et al. 2022
Gif-1956 NA charbon de bois; charcoal NA NA 920±90 BP 1045–673 cal BP Wilmeth 1978; Rutherford et al. 1981; Delibrias et al. 1974; Delibrias and Guillier 1988; Gilot 1971; Piàrard 1975; Plumet 1985 1994; Taillon et Barrà 1987 Bird et al. 2022
Gif-1957 NA charbon de bois; charcoal NA NA 1860±90 BP 1988–1549 cal BP van Willigen 2006 Bird et al. 2022
Gif-2967 NA restes d'animaux carbonisés; charred animal remains NA NA 1190±105 BP 1300–918 cal BP Wilmeth 1978; Rutherford et al. 1981; Delibrias et al. 1974; Delibrias and Guillier 1988; Gilot 1971; Piàrard 1975; Plumet 1985 1994; Taillon et Barrà 1987 Bird et al. 2022
Gif-2968 NA restes d'animaux; animal remains NA NA 1370±105 BP 1516–1059 cal BP Taillon et Barrà 1987; Delibrias and Guillier 1988; Plumet 1989 Bird et al. 2022
Lv-468 NA charbon de bois; charcoal NA NA 2070±140 BP 2350–1705 cal BP Wilmeth 1978; Rutherford et al. 1981; Delibrias et al. 1974; Delibrias and Guillier 1988; Gilot 1971; Piàrard 1975; Plumet 1985 1994; Taillon et Barrà 1987 Bird et al. 2022
Lv-469 NA restes d'animaux carbonisés; charred animal remains NA NA 1380±95 BP 1514–1065 cal BP Wilmeth 1978; Rutherford et al. 1981; Delibrias et al. 1974; Delibrias and Guillier 1988; Gilot 1971; Piàrard 1975; Plumet 1985 1994; Taillon et Barrà 1987 Bird et al. 2022
Lv-470 NA restes d'animaux carbonisés; charred animal remains NA NA 1530±75 BP 1545–1296 cal BP Wilmeth 1978; Rutherford et al. 1981; Delibrias et al. 1974; Delibrias and Guillier 1988; Gilot 1971; Piàrard 1975; Plumet 1985 1994; Taillon et Barrà 1987 Bird et al. 2022
Lv-471 NA restes d'animaux carbonisés; charred animal remains NA NA 1320±85 BP 1376–1010 cal BP Gilot 1997; Gilot 1971a; Mullenders e.a. 1972; Vermeersch 1972 Bird et al. 2022
Lv-560 NA restes d'animaux carbonisés; charred animal remains NA NA 2170±100 BP 2354–1888 cal BP Moga 2008 Bird et al. 2022
S-931 NA charbon de bois; charcoal NA NA 1420±100 BP 1532–1080 cal BP Rutherford et al. 1981; Delibrias and Guillier 1988; Taillon et Barrà 1987; Badgley 1980; Plumet 1994; Plumet et Badgley 1980 Bird et al. 2022
UQ-86 NA charbon de bois; charcoal NA NA 3470±160 BP 4220–3370 cal BP Rutherford et al. 1981; Delibrias and Guillier 1988; Taillon et Barrà 1987; Badgley 1980; Plumet 1994; Plumet et Badgley 1980 Bird et al. 2022
UQ-89 NA charbon de boisé; charcoalé NA NA 1435±70 BP 1515–1177 cal BP Rutherford et al. 1981; Delibrias and Guillier 1988; Taillon et Barrà 1987; Badgley 1980; Plumet 1994; Plumet et Badgley 1980 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Moga 2008,
  
}
@misc{van Willigen 2006,
  
}
@misc{Taillon et Barrà 1987,
  
}
@misc{Wilmeth 1978; Rutherford et al. 1981; Delibrias et al. 1974; Delibrias and Guillier 1988; Gilot 1971; Piàrard 1975; Plumet 1985 1994; Taillon et Barrà 1987,
  
}
@misc{Taillon et Barrà 1987; Delibrias and Guillier 1988; Plumet 1989,
  
}
@misc{Rutherford et al. 1981; Delibrias and Guillier 1988; Taillon et Barrà 1987; Badgley 1980; Plumet 1994; Plumet et Badgley 1980,
  
}
@misc{Gilot 1997; Gilot 1971a; Mullenders e.a. 1972; Vermeersch 1972,
  
}
@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":"Moga 2008","bibtex_type":"misc"}{"bibtex_key":"van Willigen 2006","bibtex_type":"misc"}{"bibtex_key":"Taillon et Barrà 1987","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Rutherford et al. 1981; Delibrias et al. 1974; Delibrias and Guillier 1988; Gilot 1971; Piàrard 1975; Plumet 1985 1994; Taillon et Barrà 1987","bibtex_type":"misc"}{"bibtex_key":"Taillon et Barrà 1987; Delibrias and Guillier 1988; Plumet 1989","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1981; Delibrias and Guillier 1988; Taillon et Barrà 1987; Badgley 1980; Plumet 1994; Plumet et Badgley 1980","bibtex_type":"misc"}{"bibtex_key":"Gilot 1997; Gilot 1971a; Mullenders e.a. 1972; Vermeersch 1972","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: Moga 2008
:bibtex_type: :misc
---
:bibtex_key: van Willigen 2006
:bibtex_type: :misc
---
:bibtex_key: Taillon et Barrà 1987
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Rutherford et al. 1981; Delibrias et al. 1974; Delibrias
  and Guillier 1988; Gilot 1971; Piàrard 1975; Plumet 1985 1994; Taillon et Barrà
  1987
:bibtex_type: :misc
---
:bibtex_key: Taillon et Barrà 1987; Delibrias and Guillier 1988; Plumet 1989
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1981; Delibrias and Guillier 1988; Taillon et Barrà
  1987; Badgley 1980; Plumet 1994; Plumet et Badgley 1980
:bibtex_type: :misc
---
:bibtex_key: Gilot 1997; Gilot 1971a; Mullenders e.a. 1972; Vermeersch 1972
: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