Site type

Location

Coordinates (degrees)
031.526° N, 110.847° W
Coordinates (DMS)
031° 31' 00" W, 110° 50' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
A-4200 CHARCOAL NA RADIOMETRIC 2400±90 BP HUCKELL 1995 Bird et al. 2022
A-4201 CHARCOAL NA RADIOMETRIC 2380±90 BP HUCKELL 1995 Bird et al. 2022
A-74 CHARCOAL NA RADIOMETRIC 1950±200 BP UWyo2021 Bird et al. 2022
A-85 CHARCOAL Quercus RADIOMETRIC 2550±330 BP Shutler and Damon 1959: 60-61 Bird et al. 2022
A-86 CHARCOAL Prosopis sp. (id. by T.L. Smiley) RADIOMETRIC 3300±230 BP Eddy and Cooley 1983 Bird et al. 2022
AA-13124 SEEDS Zea mays AMS 2320±55 BP UWyo2021 Bird et al. 2022
AA-13125 SEEDS Zea mays AMS 2505±55 BP UWyo2021 Bird et al. 2022
GaK-3800 human bone collagen; collagène osseux humain NA NA 1500±80 BP Erlandson et al. 1992; Mills 1994; D.W. Clark 1974 1979 1982 (as AFG-106) 1984 Bird et al. 2022
S-118 charcoal; charbon de bois NA NA 725±50 BP McCallum and Wittenberg 1962; Cooper and Savage 1994; Spence et al. 1990; Finlayson 1977; Wright and Anderson 1963 Bird et al. 2022
S-119 charcoal; charbon de bois NA NA 2480±60 BP Morlan 1993; McCallum and Wittenberg 1962; Millar and Gromadko 1981 Bird et al. 2022
S-470 charcoal; charbon de bois NA NA 2535±150 BP Chisholm 1986; Lowdon et al. 1974; MacDonald and Inglis 1981; Ames 2005; Rutherford et al. 1973 1975 1979; Stewart and Stewart 1996 Bird et al. 2022
S-776 human bone collagen; collagène osseux humain NA NA 2045±80 BP Wilmeth 1978; Rutherford et al. 1975; Lowdon et al. 1974; Morlan 1974 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{HUCKELL 1995,
  
}
@misc{UWyo2021,
  
}
@misc{Shutler and Damon 1959: 60-61,
  
}
@misc{Eddy and Cooley 1983,
  
}
@misc{Erlandson et al. 1992; Mills 1994; D.W. Clark 1974 1979 1982 (as AFG-106) 1984,
  
}
@misc{McCallum and Wittenberg 1962; Cooper and Savage 1994; Spence et al. 1990; Finlayson 1977; Wright and Anderson 1963,
  
}
@misc{Morlan 1993; McCallum and Wittenberg 1962; Millar and Gromadko 1981,
  
}
@misc{Chisholm 1986;  Lowdon et al. 1974;  MacDonald and Inglis 1981; Ames 2005;  Rutherford et al. 1973 1975 1979;  Stewart and Stewart 1996,
  
}
@misc{Wilmeth 1978; Rutherford et al. 1975; Lowdon et al. 1974; Morlan 1974,
  
}
@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":"HUCKELL 1995","bibtex_type":"misc"}{"bibtex_key":"UWyo2021","bibtex_type":"misc"}{"bibtex_key":"Shutler and Damon 1959: 60-61","bibtex_type":"misc"}{"bibtex_key":"Eddy and Cooley 1983","bibtex_type":"misc"}{"bibtex_key":"Erlandson et al. 1992; Mills 1994; D.W. Clark 1974 1979 1982 (as AFG-106) 1984","bibtex_type":"misc"}{"bibtex_key":"McCallum and Wittenberg 1962; Cooper and Savage 1994; Spence et al. 1990; Finlayson 1977; Wright and Anderson 1963","bibtex_type":"misc"}{"bibtex_key":"Morlan 1993; McCallum and Wittenberg 1962; Millar and Gromadko 1981","bibtex_type":"misc"}{"bibtex_key":"Chisholm 1986;  Lowdon et al. 1974;  MacDonald and Inglis 1981; Ames 2005;  Rutherford et al. 1973 1975 1979;  Stewart and Stewart 1996","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Rutherford et al. 1975; Lowdon et al. 1974; Morlan 1974","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: HUCKELL 1995
:bibtex_type: :misc
---
:bibtex_key: UWyo2021
:bibtex_type: :misc
---
:bibtex_key: 'Shutler and Damon 1959: 60-61'
:bibtex_type: :misc
---
:bibtex_key: Eddy and Cooley 1983
:bibtex_type: :misc
---
:bibtex_key: Erlandson et al. 1992; Mills 1994; D.W. Clark 1974 1979 1982 (as AFG-106)
  1984
:bibtex_type: :misc
---
:bibtex_key: McCallum and Wittenberg 1962; Cooper and Savage 1994; Spence et al. 1990;
  Finlayson 1977; Wright and Anderson 1963
:bibtex_type: :misc
---
:bibtex_key: Morlan 1993; McCallum and Wittenberg 1962; Millar and Gromadko 1981
:bibtex_type: :misc
---
:bibtex_key: Chisholm 1986;  Lowdon et al. 1974;  MacDonald and Inglis 1981; Ames
  2005;  Rutherford et al. 1973 1975 1979;  Stewart and Stewart 1996
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Rutherford et al. 1975; Lowdon et al. 1974; Morlan 1974
: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