Site type

Location

200 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)
032.097° N, 111.790° W
Coordinates (DMS)
032° 05' 00" W, 111° 47' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (13)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
A-10268 CHARCOAL NA RADIOMETRIC 1540±70 BP 1545–1300 cal BP Berry and Berry 1986; Faunmap 1251 Bird et al. 2022
A-1081 BONE apatite RADIOMETRIC 8975±300 BP 11071–9334 cal BP UWyo2021 Bird et al. 2022
A-203 CHARCOAL NA RADIOMETRIC 11300±1200 BP 16520–10170 cal BP Damon and Long 1962: 246; Haury 1950; Huckell and Haynes 2003; Lundelius et al. 1983: Site 136; Meltzer and Mead 1985; Willig and Aikens 1988: 8; Faunmap 1145 Bird et al. 2022
AA-13377 CHARCOAL NA AMS 9060±90 BP 10491–9908 cal BP Huckell and Haynes 2003 Bird et al. 2022
AA-13378 CHARCOAL NA AMS 8840±80 BP 10187–9608 cal BP Huckell and Haynes 2003 Bird et al. 2022
AA-13379 CHARCOAL NA AMS 9265±80 BP 10651–10245 cal BP Huckell and Haynes 2003 Bird et al. 2022
AA-7104 CHARCOAL NA AMS 8785±80 BP 10148–9552 cal BP Huckell and Haynes 2003 Bird et al. 2022
AA-7105 CHARCOAL NA AMS 10430±70 BP 12615–12001 cal BP Huckell and Haynes 2003 Bird et al. 2022
AA-7106 CHARCOAL NA AMS 1095±55 BP 1179–915 cal BP UWyo2021 Bird et al. 2022
AA-87863/98913 WOOD NA AMS 7221±35 BP 8165–7964 cal BP Geib 2016 Bird et al. 2022
AA-88481 WOOD NA AMS 1457±35 BP 1385–1300 cal BP Geib 2016 Bird et al. 2022
AA-89951 WOOD NA AMS 4512±40 BP 5310–5043 cal BP Geib 2016 Bird et al. 2022
AA-9166 CHARCOAL NA AMS 9465±185 BP 11199–10275 cal BP Huckell and Haynes 2003 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Berry and Berry 1986; Faunmap 1251,
  
}
@misc{UWyo2021,
  
}
@misc{Damon and Long 1962: 246; Haury 1950; Huckell and Haynes 2003; Lundelius et al. 1983: Site 136; Meltzer and Mead 1985; Willig and Aikens 1988: 8; Faunmap 1145,
  
}
@misc{Huckell and Haynes 2003,
  
}
@misc{Geib 2016,
  
}
@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":"Berry and Berry 1986; Faunmap 1251","bibtex_type":"misc"}{"bibtex_key":"UWyo2021","bibtex_type":"misc"}{"bibtex_key":"Damon and Long 1962: 246; Haury 1950; Huckell and Haynes 2003; Lundelius et al. 1983: Site 136; Meltzer and Mead 1985; Willig and Aikens 1988: 8; Faunmap 1145","bibtex_type":"misc"}{"bibtex_key":"Huckell and Haynes 2003","bibtex_type":"misc"}{"bibtex_key":"Geib 2016","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: Berry and Berry 1986; Faunmap 1251
:bibtex_type: :misc
---
:bibtex_key: UWyo2021
:bibtex_type: :misc
---
:bibtex_key: 'Damon and Long 1962: 246; Haury 1950; Huckell and Haynes 2003; Lundelius
  et al. 1983: Site 136; Meltzer and Mead 1985; Willig and Aikens 1988: 8; Faunmap
  1145'
:bibtex_type: :misc
---
:bibtex_key: Huckell and Haynes 2003
:bibtex_type: :misc
---
:bibtex_key: Geib 2016
: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