Site type

Location

Coordinates (degrees)
071.037° N, 088.910° W
Coordinates (DMS)
071° 02' 00" W, 088° 54' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (11)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-61070 NA spruce wood; bois d'épinette NA NA 2110±90 BP 2330–1875 cal BP Manley and Jennings 1996; Odess 1996 1998 Bird et al. 2022
Beta-61071 NA crowberry wood; bois de camarine NA NA 1800±70 BP 1869–1537 cal BP Manley and Jennings 1996; Odess 1996 1998 Bird et al. 2022
Beta-61072 NA plant remains; restes de plantes NA NA 1490±60 BP 1517–1296 cal BP Harington 2003: 389; Manley and Jennings 1996; Fitzhugh 1993b Bird et al. 2022
Beta-70916 NA willow and crowberry charcoal; charbon de saule et de camarine NA NA 1500±90 BP 1574–1179 cal BP Manley and Jennings 1996; Odess 1996 1998 Bird et al. 2022
Beta-70917 NA willow and crowberry wood; bois de saule et de camarine NA NA 1800±60 BP 1826–1549 cal BP Manley and Jennings 1996; Odess 1996 1998 Bird et al. 2022
Beta-70918 NA willow and crowberry wood; bois de saule et de camarine NA NA 1970±70 BP 2097–1720 cal BP Manley and Jennings 1996; Odess 1996 1998 Bird et al. 2022
Beta-70919 NA willow and crowberry wood; bois de saule et de camarine NA NA 1710±80 BP 1780–1402 cal BP Manley and Jennings 1996; Odess 1996 1998 Bird et al. 2022
Beta-70920 NA willow crowberry and blueberry wood; bois de saule et de camarine NA NA 1470±50 BP 1510–1291 cal BP Ashley National Forest 2017 Bird et al. 2022
Beta-83249 NA spruce charcoal; charbon d'épinette NA NA 1890±60 BP 1980–1633 cal BP Gallegos D. R. Carrico and J. Thesken 1984 Bird et al. 2022
Beta-83251 NA willow charcoal; charbon de saule NA NA 2030±50 BP 2115–1834 cal BP Fort Hood 14C Database Bird et al. 2022
Beta-91291 NA willow charcoal; charbon de bois NA NA 2140±50 BP 2308–1993 cal BP Jackson T. L. 1996 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Ashley National Forest 2017,
  
}
@misc{Fort Hood 14C Database,
  
}
@misc{Manley and Jennings 1996; Odess 1996 1998,
  
}
@misc{Harington 2003: 389; Manley and Jennings 1996; Fitzhugh 1993b,
  
}
@misc{Gallegos D. R. Carrico and J. Thesken 1984,
  
}
@misc{Jackson T. L. 1996,
  
}
@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":"Ashley National Forest 2017","bibtex_type":"misc"}{"bibtex_key":"Fort Hood 14C Database","bibtex_type":"misc"}{"bibtex_key":"Manley and Jennings 1996; Odess 1996 1998","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 389; Manley and Jennings 1996; Fitzhugh 1993b","bibtex_type":"misc"}{"bibtex_key":"Gallegos D. R. Carrico and J. Thesken 1984","bibtex_type":"misc"}{"bibtex_key":"Jackson T. L. 1996","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: Ashley National Forest 2017
:bibtex_type: :misc
---
:bibtex_key: Fort Hood 14C Database
:bibtex_type: :misc
---
:bibtex_key: Manley and Jennings 1996; Odess 1996 1998
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 389; Manley and Jennings 1996; Fitzhugh 1993b'
:bibtex_type: :misc
---
:bibtex_key: Gallegos D. R. Carrico and J. Thesken 1984
:bibtex_type: :misc
---
:bibtex_key: Jackson T. L. 1996
: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