Site type

Location

Coordinates (degrees)
066.369° N, 118.982° W
Coordinates (DMS)
066° 22' 00" W, 118° 58' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (23)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AECV-1104C NA caribou bone collagen; collagène osseux de caribou NA NA 2530±110 BP 2846–2345 cal BP Harington 2003: 412; Le Blanc 1994a 1994b; Faunmap 4234 Bird et al. 2022
AECV-1105C NA caribou bone collagen; collagène osseux de caribou NA NA 2410±90 BP 2737–2184 cal BP Harington 2003: 412; Le Blanc 1994a 1994b; Faunmap 4234 Bird et al. 2022
AECV-1106C NA caribou bone collagen; collagène osseux de caribou NA NA 2410±110 BP 2746–2157 cal BP Harington 2003: 412; Le Blanc 1994a 1994b; Faunmap 4234 Bird et al. 2022
AECV-1107C NA caribou bone collagen; collagène osseux de caribou NA NA 2540±100 BP 2843–2350 cal BP Harington 2003: 412; Le Blanc 1994a 1994b; Faunmap 4234 Bird et al. 2022
AECV-1108C NA caribou bone collagen; collagène osseux de caribou NA NA 2540±100 BP 2843–2350 cal BP Harington 2003: 412; Le Blanc 1994a 1994b; Faunmap 4234 Bird et al. 2022
Beta-154334 NA SEEDS Zea mays AMS 830±40 BP 792–674 cal BP Ciolek-Torrello et al. 2010 The State Route 188-Cottonwood Creek Project Bird et al. 2022
Beta-5670 NA charcoal; charbon de bois NA NA 700±80 BP 771–537 cal BP Maslowski et al. 1995 Bird et al. 2022
I-13047 NA charcoal; charbon de bois NA NA 2220±110 BP 2675–1893 cal BP Balsera et al. 2015 Bird et al. 2022
ISGS-1081 NA CHARCOAL NA RADIOMETRIC 1710±70 BP 1735–1413 cal BP Asch and Asch 1985; Conard et al. 1984 Bird et al. 2022
ISGS-1107 NA CHARCOAL NA RADIOMETRIC 1870±70 BP 1981–1610 cal BP Asch and Asch 1985; Conard et al. 1984 Bird et al. 2022
ISGS-1200 NA SEEDS charred nutshell RADIOMETRIC 1800±70 BP 1869–1537 cal BP Farnsworth and Asch 1986 Bird et al. 2022
ISGS-898 NA SEEDS charred nutshell RADIOMETRIC 2050±70 BP 2300–1821 cal BP Asch and Asch 1985; Conard et al. 1984; Farnsworth and Asch 1986 Bird et al. 2022
ISGS-951 NA CHARCOAL NA RADIOMETRIC 1750±70 BP 1825–1422 cal BP Asch and Asch 1985; Conard et al. 1984 Bird et al. 2022
NSRL-302 NA SEEDS Zea mays AMS 1450±350 BP 2123–675 cal BP Asch and Asch 1985; Conard et al. 1984; Crawford et al. 1997: 114; Ancient Maize Database Bird et al. 2022
S-2969 NA bison bone collagen; collagène osseux de bison NA NA 3330±95 BP 3828–3372 cal BP Harington 2003: 415 Bird et al. 2022
S-2999 NA caribou bone collagen; collagène osseux de caribou NA NA 2885±140 BP 3363–2755 cal BP Hutchinson 1992; Rutherford et al. 1981 Bird et al. 2022
S-3036 NA caribou bone collagen; collagène osseux de caribou NA NA 2615±140 BP 3058–2345 cal BP Harington 2003: 414; Faunmap 4209 Bird et al. 2022
S-3211 NA bone collagen; collagène osseux NA NA 1740±65 BP 1820–1421 cal BP Morlan 1993; Finnigan et al. 1990 Bird et al. 2022
S-3212 NA bone collagen; collagène osseux NA NA 2050±75 BP 2301–1797 cal BP Morlan 1993; Finnigan et al. 1990 Bird et al. 2022
S-3213 NA bone collagen; collagène osseux NA NA 1680±75 BP 1716–1400 cal BP Morlan 1993; Finnigan et al. 1990 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Balsera et al. 2015,
  
}
@misc{Maslowski et al. 1995,
  
}
@misc{Harington 2003: 412; Le Blanc 1994a 1994b; Faunmap 4234,
  
}
@misc{Ciolek-Torrello et al. 2010 The State Route 188-Cottonwood Creek Project,
  
}
@misc{Farnsworth and Asch 1986,
  
}
@misc{Asch and Asch 1985; Conard et al. 1984,
  
}
@misc{Asch and Asch 1985; Conard et al. 1984; Farnsworth and Asch 1986,
  
}
@misc{Asch and Asch 1985; Conard et al. 1984; Crawford et al. 1997: 114; Ancient Maize Database,
  
}
@misc{Hutchinson 1992;  Rutherford et al. 1981,
  
}
@misc{Harington 2003: 415,
  
}
@misc{Harington 2003: 414; Faunmap 4209,
  
}
@misc{Morlan 1993; T. Gibson p.c. 1992,
  
}
@misc{Morlan 1993; Finnigan et al. 1990,
  
}
@misc{Valastro et al. 1986: 1188,
  
}
@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":"Balsera et al. 2015","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 412; Le Blanc 1994a 1994b; Faunmap 4234","bibtex_type":"misc"}{"bibtex_key":"Ciolek-Torrello et al. 2010 The State Route 188-Cottonwood Creek Project","bibtex_type":"misc"}{"bibtex_key":"Farnsworth and Asch 1986","bibtex_type":"misc"}{"bibtex_key":"Asch and Asch 1985; Conard et al. 1984","bibtex_type":"misc"}{"bibtex_key":"Asch and Asch 1985; Conard et al. 1984; Farnsworth and Asch 1986","bibtex_type":"misc"}{"bibtex_key":"Asch and Asch 1985; Conard et al. 1984; Crawford et al. 1997: 114; Ancient Maize Database","bibtex_type":"misc"}{"bibtex_key":"Hutchinson 1992;  Rutherford et al. 1981","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 415","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 414; Faunmap 4209","bibtex_type":"misc"}{"bibtex_key":"Morlan 1993; T. Gibson p.c. 1992","bibtex_type":"misc"}{"bibtex_key":"Morlan 1993; Finnigan et al. 1990","bibtex_type":"misc"}{"bibtex_key":"Valastro et al. 1986: 1188","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: Balsera et al. 2015
:bibtex_type: :misc
---
:bibtex_key: Maslowski et al. 1995
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 412; Le Blanc 1994a 1994b; Faunmap 4234'
:bibtex_type: :misc
---
:bibtex_key: Ciolek-Torrello et al. 2010 The State Route 188-Cottonwood Creek Project
:bibtex_type: :misc
---
:bibtex_key: Farnsworth and Asch 1986
:bibtex_type: :misc
---
:bibtex_key: Asch and Asch 1985; Conard et al. 1984
:bibtex_type: :misc
---
:bibtex_key: Asch and Asch 1985; Conard et al. 1984; Farnsworth and Asch 1986
:bibtex_type: :misc
---
:bibtex_key: 'Asch and Asch 1985; Conard et al. 1984; Crawford et al. 1997: 114; Ancient
  Maize Database'
:bibtex_type: :misc
---
:bibtex_key: Hutchinson 1992;  Rutherford et al. 1981
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 415'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 414; Faunmap 4209'
:bibtex_type: :misc
---
:bibtex_key: Morlan 1993; T. Gibson p.c. 1992
:bibtex_type: :misc
---
:bibtex_key: Morlan 1993; Finnigan et al. 1990
:bibtex_type: :misc
---
:bibtex_key: 'Valastro et al. 1986: 1188'
: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