Site type

Location

Coordinates (degrees)
045.089° N, 075.632° W
Coordinates (DMS)
045° 05' 00" W, 075° 37' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (20)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GSC-2799 NA charcoal; charbon de bois NA NA 890±70 BP 921–685 cal BP Reeves 1973; Harington 2003: 423; Dyck et al. 1965; Nielsen et al. 1984; Faunmap 3826 Bird et al. 2022
S-1675 NA charcoal; charbon de bois NA NA 1650±70 BP 1700–1388 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1676 NA charcoal; charbon de bois NA NA 830±70 BP 910–666 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1677 NA charcoal; charbon de bois NA NA 2300±60 BP 2489–2127 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1678 NA charcoal; charbon de bois NA NA 940±40 BP 925–743 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1679 NA charcoal; charbon de bois NA NA 1700±70 BP 1722–1410 cal BP Rutherford et al. 1979; Morlan 1993; Ebell 1988a Bird et al. 2022
S-1680 NA charcoal; charbon de bois NA NA 2460±70 BP 2720–2357 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1681 NA charcoal; charbon de bois NA NA 940±60 BP 955–730 cal BP Rutherford et al. 1984 Bird et al. 2022
S-1755 NA charcoal; charbon de bois NA NA 1880±110 BP 2096–1535 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1756 NA charcoal; charbon de bois NA NA 1235±105 BP 1338–930 cal BP Harington 2003: 453; Rutherford et al. 1984; Morlan 1993; Dyck 1983; Dyck and Morlan 1995; Faunmap 3736 Bird et al. 2022
S-1841 NA charcoal; charbon de bois NA NA 7600±270 BP 9122–7850 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1842 NA charcoal; charbon de bois NA NA 8030±1970 BP 13768–4726 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1843 NA charcoal; charbon de bois NA NA 2530±120 BP 2855–2339 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1844 NA charcoal; charbon de bois NA NA 3410±320 BP 4521–2870 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1846 NA charcoal; charbon de bois NA NA 2360±250 BP 2960–1743 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1847 NA charcoal; charbon de bois NA NA 4500±640 BP 6540–3456 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1849 NA charcoal; charbon de bois NA NA 760±60 BP 789–561 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1850 NA charcoal; charbon de bois NA NA 1020±110 BP 1177–723 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1851 NA charcoal; charbon de bois NA NA 620±120 BP 789–328 cal BP Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990 Bird et al. 2022
S-1852 NA charcoal; charbon de bois NA NA 1290±250 BP 1700–695 cal BP Rutherford et al. 1984; Watson 1981 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990,
  
}
@misc{Reeves 1973; Harington 2003: 423; Dyck et al. 1965; Nielsen et al. 1984; Faunmap 3826,
  
}
@misc{Rutherford et al. 1984,
  
}
@misc{Rutherford et al. 1979; Morlan 1993; Ebell 1988a,
  
}
@misc{Harington 2003: 453; Rutherford et al. 1984; Morlan 1993; Dyck 1983; Dyck and Morlan 1995; Faunmap 3736,
  
}
@misc{Rutherford et al. 1984; Watson 1981,
  
}
@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":"Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981 1990","bibtex_type":"misc"}{"bibtex_key":"Reeves 1973; Harington 2003: 423; Dyck et al. 1965; Nielsen et al. 1984; Faunmap 3826","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1979; Morlan 1993; Ebell 1988a","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 453; Rutherford et al. 1984; Morlan 1993; Dyck 1983; Dyck and Morlan 1995; Faunmap 3736","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984; Watson 1981","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: Rutherford et al. 1984; Blake 1988; Spence et al. 1990; Watson 1980 1981
  1990
:bibtex_type: :misc
---
:bibtex_key: 'Reeves 1973; Harington 2003: 423; Dyck et al. 1965; Nielsen et al. 1984;
  Faunmap 3826'
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1979; Morlan 1993; Ebell 1988a
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 453; Rutherford et al. 1984; Morlan 1993; Dyck 1983;
  Dyck and Morlan 1995; Faunmap 3736'
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984; Watson 1981
: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