Site type

Location

Coordinates (degrees)
042.634° N, 075.032° W
Coordinates (DMS)
042° 38' 00" W, 075° 01' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (10)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GX-11074 NA CHARCOAL NA NA 9040±285 BP 11071–9490 cal BP Funk 1993; Funk and Wellman 1984b: 91 Bird et al. 2022
GX-11930 NA CHARCOAL NA NA 270±70 BP 495–72 cal BP Custer 1996; Funk 1979 1993; Funk and Wellman 1984: 84 Bird et al. 2022
GX-8204 NA CHARCOAL NA NA 9140±260 BP 11072–9555 cal BP Funk 1993; Funk and Wellman 1984b: 91 Bird et al. 2022
GX-8205 NA CHARCOAL NA NA 8880±255 BP 10654–9328 cal BP Funk 1993; Funk and Wellman 1984b: 91 Bird et al. 2022
GX-8206 NA CHARCOAL NA NA 8385±230 BP 10113–8645 cal BP Funk and Wellman 1984:91; Shane Miller (personal communication 2016); PIDBA; Matt Boulanger personal communication 2016 Bird et al. 2022
GX-8207 NA CHARCOAL NA NA 8735±210 BP 10280–9293 cal BP Funk 1993; Funk and Wellman 1984b: 91 Bird et al. 2022
GX-8223 NA CHARCOAL NA NA 8830±210 BP 10483–9467 cal BP Funk 1993; Funk and Wellman 1984b: 91 Bird et al. 2022
GX-8224 NA CHARCOAL NA NA 9000±230 BP 10690–9536 cal BP Funk 1993; Funk and Wellman 1984b: 91 Bird et al. 2022
GX-8225 NA CHARCOAL NA NA 8585±190 BP 10175–9138 cal BP Funk 1993; Funk and Wellman 1984b: 91 Bird et al. 2022
GX-9311 NA CHARCOAL NA NA 9665±550 BP 12673–9685 cal BP Funk 1993; Funk and Wellman 1984b: 91 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Custer 1996; Funk 1979 1993; Funk and Wellman 1984: 84,
  
}
@misc{Funk 1993; Funk and Wellman 1984b: 91,
  
}
@misc{Funk and Wellman 1984:91; Shane Miller (personal communication 2016); PIDBA; Matt Boulanger personal communication 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":"Custer 1996; Funk 1979 1993; Funk and Wellman 1984: 84","bibtex_type":"misc"}{"bibtex_key":"Funk 1993; Funk and Wellman 1984b: 91","bibtex_type":"misc"}{"bibtex_key":"Funk and Wellman 1984:91; Shane Miller (personal communication 2016); PIDBA; Matt Boulanger personal communication 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: 'Custer 1996; Funk 1979 1993; Funk and Wellman 1984: 84'
:bibtex_type: :misc
---
:bibtex_key: 'Funk 1993; Funk and Wellman 1984b: 91'
:bibtex_type: :misc
---
:bibtex_key: Funk and Wellman 1984:91; Shane Miller (personal communication 2016);
  PIDBA; Matt Boulanger personal communication 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