Site type

Location

Coordinates (degrees)
057.365° N, 111.797° W
Coordinates (DMS)
057° 21' 00" W, 111° 47' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (11)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-2065 NA bone collagen; collagène osseux NA NA 1450±90 BP 1532–1177 cal BP Brumley and Rushworth 1983; Beaudoin 1987; Stevenson 1981a 1981b 1982 1985 Bird et al. 2022
S-2066 NA bone collagen; collagène osseux NA NA 1400±300 BP 1930–695 cal BP Brumley and Rushworth 1983; Beaudoin 1987; Stevenson 1981a 1981b 1982 1985 Bird et al. 2022
S-2067 NA bone collagen; collagène osseux NA NA 1485±95 BP 1568–1177 cal BP Brumley and Rushworth 1983; Beaudoin 1987; Stevenson 1981a 1981b 1982 1985 Bird et al. 2022
S-2068 NA bone collagen; collagène osseux NA NA 1475±110 BP 1687–1176 cal BP Brumley and Rushworth 1983; Beaudoin 1987; Stevenson 1981a 1981b 1982 1985 Bird et al. 2022
S-2069 NA bone collagen; collagène osseux NA NA 1445±90 BP 1531–1177 cal BP Brumley and Rushworth 1983; Beaudoin 1987; Stevenson 1981a 1981b 1982 1985 Bird et al. 2022
S-2070 NA charcoal and bone collagen; charbon de bois et collagène osseux NA NA 1385±125 BP 1535–995 cal BP Beaudoin 1989 Bird et al. 2022
S-2157 NA bone collagen; collagène osseux NA NA 1120±80 BP 1266–830 cal BP Brumley and Rushworth 1983; Beaudoin 1987; Stevenson 1981a 1981b 1982 1985 Bird et al. 2022
S-2158 NA bone collagen; collagène osseux NA NA 2290±155 BP 2730–1942 cal BP Brumley and Rushworth 1983; Hunt 1982 Bird et al. 2022
S-2228 NA unknown; inconnu NA NA 1670±105 BP 1818–1347 cal BP Morlan 1993; Hanna et al. 1983; Meyer 1985 1986; Meyer and Liboiron 1990; Pettipas 1986 Bird et al. 2022
SFU-167 NA bone collagen; collagène osseux NA NA 2190±270 BP 2782–1539 cal BP Brumley and Rushworth 1983; Beaudoin 1987; Stevenson 1981a 1981b 1982 1985 Bird et al. 2022
SFU-168 NA bone collagen; collagène osseux NA NA 1470±130 BP 1693–1073 cal BP Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Beaudoin 1989,
  
}
@misc{Brumley and Rushworth 1983; Beaudoin 1987; Stevenson 1981a 1981b 1982 1985,
  
}
@misc{Brumley and Rushworth 1983; Hunt 1982,
  
}
@misc{Morlan 1993; Hanna et al. 1983; Meyer 1985 1986; Meyer and Liboiron 1990; Pettipas 1986,
  
}
@misc{Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904,
  
}
@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":"Beaudoin 1989","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Beaudoin 1987; Stevenson 1981a 1981b 1982 1985","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Hunt 1982","bibtex_type":"misc"}{"bibtex_key":"Morlan 1993; Hanna et al. 1983; Meyer 1985 1986; Meyer and Liboiron 1990; Pettipas 1986","bibtex_type":"misc"}{"bibtex_key":"Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904","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: Beaudoin 1989
:bibtex_type: :misc
---
:bibtex_key: Brumley and Rushworth 1983; Beaudoin 1987; Stevenson 1981a 1981b 1982
  1985
:bibtex_type: :misc
---
:bibtex_key: Brumley and Rushworth 1983; Hunt 1982
:bibtex_type: :misc
---
:bibtex_key: Morlan 1993; Hanna et al. 1983; Meyer 1985 1986; Meyer and Liboiron 1990;
  Pettipas 1986
:bibtex_type: :misc
---
:bibtex_key: 'Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904'
: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