Site type

Location

Coordinates (degrees)
052.820° N, 108.869° W
Coordinates (DMS)
052° 49' 00" W, 108° 52' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (45)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GX-2229 NA charcoal; charbon de bois NA NA 8055±160 BP 9417–8545 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2230 NA carbonaceous soil; sol charbonneux NA NA 8480±350 BP 10331–8547 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2231 NA charcoal; charbon de bois NA NA 8290±240 BP 9889–8549 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2232 NA carbonaceous soil; sol charbonneux NA NA 6600±320 BP 8035–6739 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2233 NA carbonaceous soil; sol charbonneux NA NA 7070±240 BP 8368–7505 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2234 NA charcoal; charbon de bois NA NA 7870±260 BP 9410–8188 cal BP Straus L.G. 2002. Last Glacial Human Settlement in Eastern Cantabria. JAS 29: 1403-1414. Straus L.G. 2007. Radiocarbon 49: 1205-1214. Bird et al. 2022
GX-2235 NA carbonaceous soil; sol charbonneux NA NA 7120±240 BP 8390–7514 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2236 NA charcoal; charbon de bois NA NA 5390±330 BP 6944–5333 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2237 NA carbonaceous soil; sol charbonneux NA NA 7180±250 BP 8450–7518 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2238 NA charcoal; charbon de bois NA NA 8060±240 BP 9480–8422 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2239 NA charcoal; charbon de bois NA NA 8280±220 BP 9700–8592 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2240 NA charcoal; charbon de bois NA NA 8170±240 BP 9549–8450 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2241 NA carbonaceous soil; sol charbonneux NA NA 7175±240 BP 8420–7572 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2242 NA charcoal; charbon de bois NA NA 5015±380 BP 6622–4837 cal BP Moragas com personal 2009 Bird et al. 2022
GX-2243 NA charcoal; charbon de bois NA NA 7260±320 BP 8769–7433 cal BP Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and regional settlement patterns revealed by time-series analyses of an archaeological radiocarbon database for the South-Central Andes (16-25S). Quaternary International 356 4-14. Bird et al. 2022
GX-2244 NA charcoal; charbon de bois NA NA 9805±480 BP 12724–9963 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022
GX-2245 NA carbonaceous soil; sol charbonneux NA NA 6260±280 BP 7659–6495 cal BP Capelli 2008 Bird et al. 2022
GX-2246 NA charcoal; charbon de bois NA NA 7395±160 BP 8519–7874 cal BP CARD Bird et al. 2022
GX-2247 NA carbonaceous soil; sol charbonneux NA NA 6525±230 BP 7838–6895 cal BP Semken and Falk 1987; Tiffany 1981 1988; Faunmap 537 Bird et al. 2022
GX-2809 NA charcoalé; charbon de boisé NA NA 8435±500 BP 10675–8210 cal BP Aigner 1976; Laughlin 1975 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{van Willigen 2006,
  
}
@misc{Capelli 2008,
  
}
@misc{CARD,
  
}
@misc{Ziolkowski et al 1994,
  
}
@misc{Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and regional settlement patterns revealed by time-series analyses of an archaeological radiocarbon database for the South-Central Andes (16-25S). Quaternary International 356 4-14.,
  
}
@misc{Ozainne et al. 2014,
  
}
@misc{Manning K. 2010,
  
}
@misc{Morrison 1989; Tauber 1968; Hamilton and Goebel 1999; Anderson 1988; Gerlach and Mason 1992; Dumond 1980; Lawn 1975,
  
}
@misc{Aigner 1976; Laughlin 1975,
  
}
@misc{Straus L.G. 2002. Last Glacial Human Settlement in Eastern Cantabria. JAS 29: 1403-1414. Straus L.G. 2007. Radiocarbon 49: 1205-1214.,
  
}
@misc{Moragas com personal 2009,
  
}
@misc{Semken and Falk 1987; Tiffany 1981 1988; Faunmap 537,
  
}
@misc{Capel et al. 2015,
  
}
@misc{Aigner 1976; Laughlin 1975; Stuckenrath 1967: 336,
  
}
@misc{Aigner 1976; Laughlin 1975; Stuckenrath 1967: 337,
  
}
@misc{Lawn 1974 222,
  
}
@misc{Wilmeth 1978; Rutherford et al. 1975; Sanger 1987; Burns 1971; Stuiver 1969; Lavoie 1971; Pearson 1966 1970; Petersen and Sanger 1991,
  
}
@misc{IVES ET AL. 1964,
  
}
@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":"van Willigen 2006","bibtex_type":"misc"}{"bibtex_key":"Capelli 2008","bibtex_type":"misc"}{"bibtex_key":"CARD","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and regional settlement patterns revealed by time-series analyses of an archaeological radiocarbon database for the South-Central Andes (16-25S). Quaternary International 356 4-14.","bibtex_type":"misc"}{"bibtex_key":"Ozainne et al. 2014","bibtex_type":"misc"}{"bibtex_key":"Manning K. 2010","bibtex_type":"misc"}{"bibtex_key":"Morrison 1989; Tauber 1968; Hamilton and Goebel 1999; Anderson 1988; Gerlach and Mason 1992; Dumond 1980; Lawn 1975","bibtex_type":"misc"}{"bibtex_key":"Aigner 1976; Laughlin 1975","bibtex_type":"misc"}{"bibtex_key":"Straus L.G. 2002. Last Glacial Human Settlement in Eastern Cantabria. JAS 29: 1403-1414. Straus L.G. 2007. Radiocarbon 49: 1205-1214.","bibtex_type":"misc"}{"bibtex_key":"Moragas com personal 2009","bibtex_type":"misc"}{"bibtex_key":"Semken and Falk 1987; Tiffany 1981 1988; Faunmap 537","bibtex_type":"misc"}{"bibtex_key":"Capel et al. 2015","bibtex_type":"misc"}{"bibtex_key":"Aigner 1976; Laughlin 1975; Stuckenrath 1967: 336","bibtex_type":"misc"}{"bibtex_key":"Aigner 1976; Laughlin 1975; Stuckenrath 1967: 337","bibtex_type":"misc"}{"bibtex_key":"Lawn 1974 222","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Rutherford et al. 1975; Sanger 1987; Burns 1971; Stuiver 1969; Lavoie 1971; Pearson 1966 1970; Petersen and Sanger 1991","bibtex_type":"misc"}{"bibtex_key":"IVES ET AL. 1964","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: van Willigen 2006
:bibtex_type: :misc
---
:bibtex_key: Capelli 2008
:bibtex_type: :misc
---
:bibtex_key: CARD
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and
  regional settlement patterns revealed by time-series analyses of an archaeological
  radiocarbon database for the South-Central Andes (16-25S). Quaternary International
  356 4-14.
:bibtex_type: :misc
---
:bibtex_key: Ozainne et al. 2014
:bibtex_type: :misc
---
:bibtex_key: Manning K. 2010
:bibtex_type: :misc
---
:bibtex_key: Morrison 1989; Tauber 1968; Hamilton and Goebel 1999; Anderson 1988;
  Gerlach and Mason 1992; Dumond 1980; Lawn 1975
:bibtex_type: :misc
---
:bibtex_key: Aigner 1976; Laughlin 1975
:bibtex_type: :misc
---
:bibtex_key: 'Straus L.G. 2002. Last Glacial Human Settlement in Eastern Cantabria.
  JAS 29: 1403-1414. Straus L.G. 2007. Radiocarbon 49: 1205-1214.'
:bibtex_type: :misc
---
:bibtex_key: Moragas com personal 2009
:bibtex_type: :misc
---
:bibtex_key: Semken and Falk 1987; Tiffany 1981 1988; Faunmap 537
:bibtex_type: :misc
---
:bibtex_key: Capel et al. 2015
:bibtex_type: :misc
---
:bibtex_key: 'Aigner 1976; Laughlin 1975; Stuckenrath 1967: 336'
:bibtex_type: :misc
---
:bibtex_key: 'Aigner 1976; Laughlin 1975; Stuckenrath 1967: 337'
:bibtex_type: :misc
---
:bibtex_key: Lawn 1974 222
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Rutherford et al. 1975; Sanger 1987; Burns 1971; Stuiver
  1969; Lavoie 1971; Pearson 1966 1970; Petersen and Sanger 1991
:bibtex_type: :misc
---
:bibtex_key: IVES ET AL. 1964
: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