Site type

Location

100 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
050.941° N, 119.488° W
Coordinates (DMS)
050° 56' 00" W, 119° 29' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (29)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
D-AMS-35169 SEEDS NA AMS 648±22 BP 664–557 cal BP Hixson and Whitley 2020 BTAS Vol. 91 Bird et al. 2022
D-AMS-35290 CHARCOAL bark AMS 624±28 BP 653–552 cal BP Hixson and Whitley 2020 BTAS Vol. 91 Bird et al. 2022
D-AMS-38088 SEEDS NA AMS 388±23 BP 504–327 cal BP Pettula PC 2020 Bird et al. 2022
D-AMS-38090 CHARCOAL NA AMS 305±25 BP 450–301 cal BP Pettula PC 2020 Bird et al. 2022
D-AMS-38091 SEEDS Carya illinoinensis AMS 325±24 BP 460–309 cal BP Pettula PC 2020 Bird et al. 2022
D-AMS-38199 WOOD bark charred AMS 327±20 BP 455–312 cal BP Pettula PC 2020 Bird et al. 2022
D-AMS-35170 SEEDS deer pea vetch seed charred AMS 667±24 BP 670–561 cal BP Hixson and Whitley 2020 BTAS Vol. 91 Bird et al. 2022
ISGS-6585 SEEDS charred nutshell RADIOMETRIC 5770±70 BP 6733–6405 cal BP Moore 2011-Production exchange and social interaction in the Green River Region…. Bird et al. 2022
ISGS-6584 SEEDS charred nutshell RADIOMETRIC 6740±70 BP 7692–7434 cal BP Moore 2011-Production exchange and social interaction in the Green River Region…. Bird et al. 2022
AECV-1565 C charcoal; charbon de bois NA NA 3950±260 BP 5265–3644 cal BP Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995; Faunmap 4106 Bird et al. 2022
AECV-1565C charcoal; charbon de bois NA NA 4450±100 BP 5431–4844 cal BP Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995; Faunmap 4106 Bird et al. 2022
AECV-1616 C charcoal; charbon de bois NA NA 5170±90 BP 6190–5664 cal BP Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995 Bird et al. 2022
AECV-1616C charcoal; charbon de bois NA NA 3950±260 BP 5265–3644 cal BP Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995; Faunmap 4106 Bird et al. 2022
AECV-1617 C bone collagen; collagène osseux NA NA 4960±90 BP 5912–5482 cal BP Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995 Bird et al. 2022
AECV-1617C bone collagen; collagène osseux NA NA 5170±90 BP 6190–5664 cal BP Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995 Bird et al. 2022
AECV-1644 C bone collagen; collagène osseux NA NA 4110±60 BP 4827–4444 cal BP Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995 Bird et al. 2022
AECV-1644C bone collagen; collagène osseux NA NA 4960±90 BP 5912–5482 cal BP Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995 Bird et al. 2022
Beta-80764 charcoal; charbon de bois NA NA 4020±80 BP 4818–4251 cal BP Nelson and Hobson 1982; Richards and Rousseau 1987; Stryd 1981a 1981b (1980-011); Mohs 1978-008 Bird et al. 2022
Beta-80765 charcoal; charbon de bois NA NA 450±80 BP 629–309 cal BP Wilson et al. 1995 Bird et al. 2022
AECV-1317 C freshwater mollusc shell; coquille de mollusque d'eau douce NA NA 4240±120 BP 5270–4424 cal BP Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995; Faunmap 4106 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Stryd and Rousseau 1996;  Wilson 1991 p.c. 1999;  Wilson et al. 1992 1995;  Faunmap 4106,
  
}
@misc{Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995,
  
}
@misc{Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995; Faunmap 4106,
  
}
@misc{Stryd and Rousseau 1996;  Wilson 1991 p.c. 1999;  Wilson et al. 1992 1995,
  
}
@misc{Nelson and Hobson 1982;  Richards and Rousseau 1987;  Stryd 1981a 1981b (1980-011);  Mohs 1978-008,
  
}
@misc{Wilson et al. 1995,
  
}
@misc{Hixson and Whitley 2020 BTAS Vol. 91,
  
}
@misc{Pettula PC 2020,
  
}
@misc{Moore 2011-Production exchange and social interaction in the Green River Region….,
  
}
@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":"Stryd and Rousseau 1996;  Wilson 1991 p.c. 1999;  Wilson et al. 1992 1995;  Faunmap 4106","bibtex_type":"misc"}{"bibtex_key":"Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995","bibtex_type":"misc"}{"bibtex_key":"Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995; Faunmap 4106","bibtex_type":"misc"}{"bibtex_key":"Stryd and Rousseau 1996;  Wilson 1991 p.c. 1999;  Wilson et al. 1992 1995","bibtex_type":"misc"}{"bibtex_key":"Nelson and Hobson 1982;  Richards and Rousseau 1987;  Stryd 1981a 1981b (1980-011);  Mohs 1978-008","bibtex_type":"misc"}{"bibtex_key":"Wilson et al. 1995","bibtex_type":"misc"}{"bibtex_key":"Hixson and Whitley 2020 BTAS Vol. 91","bibtex_type":"misc"}{"bibtex_key":"Pettula PC 2020","bibtex_type":"misc"}{"bibtex_key":"Moore 2011-Production exchange and social interaction in the Green River Region….","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: Stryd and Rousseau 1996;  Wilson 1991 p.c. 1999;  Wilson et al. 1992
  1995;  Faunmap 4106
:bibtex_type: :misc
---
:bibtex_key: Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995
:bibtex_type: :misc
---
:bibtex_key: Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995;
  Faunmap 4106
:bibtex_type: :misc
---
:bibtex_key: Stryd and Rousseau 1996;  Wilson 1991 p.c. 1999;  Wilson et al. 1992
  1995
:bibtex_type: :misc
---
:bibtex_key: Nelson and Hobson 1982;  Richards and Rousseau 1987;  Stryd 1981a 1981b
  (1980-011);  Mohs 1978-008
:bibtex_type: :misc
---
:bibtex_key: Wilson et al. 1995
:bibtex_type: :misc
---
:bibtex_key: Hixson and Whitley 2020 BTAS Vol. 91
:bibtex_type: :misc
---
:bibtex_key: Pettula PC 2020
:bibtex_type: :misc
---
:bibtex_key: Moore 2011-Production exchange and social interaction in the Green River
  Region….
: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