Site type

Location

Coordinates (degrees)
043.820° N, 112.311° W
Coordinates (DMS)
043° 49' 00" W, 112° 18' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (11)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
TO-1172 CHARCOAL NA AMS 9000±70 BP Gruhn 2006:255 Bird et al. 2022
TO-1465 CHARCOAL NA AMS 10230±90 BP Gruhn 1961 2006 Bird et al. 2022
TO-1466 CHARCOAL NA AMS 8130±90 BP Gruhn 2006:255 Bird et al. 2022
TO-1485 CHARCOAL NA AMS 10230±90 BP Browman and Munsell 1969: 250; Butler 1981; Crane and Griffin 1962: 196 1966: 280; Gruhn 1961 1965 1995; Wright 1978: 121; Faunmap 37 Bird et al. 2022
TO-1647 BONE NA AMS 16030±100 BP Browman and Munsell 1969: 250; Butler 1981; Crane and Griffin 1962: 196 1966: 280; Gruhn 1961 1965 1995; Wright 1978: 121; Faunmap 37 Bird et al. 2022
TO-1649 CHARCOAL NA AMS 5380±70 BP Gruhn 2006:255 Bird et al. 2022
TO-1650 BONE NA AMS 16000±140 BP Browman and Munsell 1969: 250; Butler 1981; Crane and Griffin 1962: 196 1966: 280; Gruhn 1961 1965 1995; Wright 1978: 121; Faunmap 37 Bird et al. 2022
TO-1651 UNKNOWN NA AMS 6260±70 BP Gruhn 2006:255 Bird et al. 2022
TO-2581 CHARCOAL NA AMS 6570±70 BP Gruhn 2006:256 Bird et al. 2022
TO-2583 CHARCOAL NA AMS 10130±90 BP Gruhn 2006:255 Bird et al. 2022
TO-3330 BONE collagen proboscidean AMS 10700±100 BP Browman and Munsell 1969: 250; Butler 1981; Crane and Griffin 1962: 196 1966: 280; Gruhn 1961 1965 1995; Lundelius et al. 1983; Wright 1978: 121; Faunmap 37 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Gruhn 2006:255,
  
}
@misc{Gruhn 1961 2006,
  
}
@misc{Browman and Munsell 1969: 250; Butler 1981; Crane and Griffin 1962: 196 1966: 280; Gruhn 1961 1965 1995; Wright 1978: 121; Faunmap 37,
  
}
@misc{Gruhn 2006:256,
  
}
@misc{Browman and Munsell 1969: 250; Butler 1981; Crane and Griffin 1962: 196 1966: 280; Gruhn 1961 1965 1995; Lundelius et al. 1983; Wright 1978: 121; Faunmap 37,
  
}
@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":"Gruhn 2006:255","bibtex_type":"misc"}{"bibtex_key":"Gruhn 1961 2006","bibtex_type":"misc"}{"bibtex_key":"Browman and Munsell 1969: 250; Butler 1981; Crane and Griffin 1962: 196 1966: 280; Gruhn 1961 1965 1995; Wright 1978: 121; Faunmap 37","bibtex_type":"misc"}{"bibtex_key":"Gruhn 2006:256","bibtex_type":"misc"}{"bibtex_key":"Browman and Munsell 1969: 250; Butler 1981; Crane and Griffin 1962: 196 1966: 280; Gruhn 1961 1965 1995; Lundelius et al. 1983; Wright 1978: 121; Faunmap 37","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: Gruhn 2006:255
:bibtex_type: :misc
---
:bibtex_key: Gruhn 1961 2006
:bibtex_type: :misc
---
:bibtex_key: 'Browman and Munsell 1969: 250; Butler 1981; Crane and Griffin 1962:
  196 1966: 280; Gruhn 1961 1965 1995; Wright 1978: 121; Faunmap 37'
:bibtex_type: :misc
---
:bibtex_key: Gruhn 2006:256
:bibtex_type: :misc
---
:bibtex_key: 'Browman and Munsell 1969: 250; Butler 1981; Crane and Griffin 1962:
  196 1966: 280; Gruhn 1961 1965 1995; Lundelius et al. 1983; Wright 1978: 121; Faunmap
  37'
: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