Site type

Location

100 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)
041.789° N, 076.515° W
Coordinates (DMS)
041° 47' 00" W, 076° 30' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
SI-6926 sediment extract; extrait de sédiment NA NA 12080±100 BP 14227–13752 cal BP Hotopp 1978; Tiffany 1981 Bird et al. 2022
WIS-1837 sediment extract; extrait de sédiment NA NA 9280±100 BP 10700–10239 cal BP Faunmap 2274 Bird et al. 2022
WIS-1838 sediment extract; extrait de sédiment NA NA 10250±110 BP 12578–11405 cal BP Faunmap 2274 Bird et al. 2022
WIS-1839 sediment extract; extrait de sédiment NA NA 12670±120 BP 15505–14441 cal BP Bender 1969 University of Wisconsin Radiocarbon Dates VI Bird et al. 2022
WIS-1925 sediment; sédiment NA NA 15910±160 BP 19536–18885 cal BP Salkin 2000; Stoltman and Christiansen 2000; Boszhardt 1977; Hurley 1974; Bender et al. 1967: 537 1968: 475 1969: 228 Bird et al. 2022
WIS-1935 mammoth bone collagen; collagène osseux de mammouth NA NA 14320±150 BP 17890–17055 cal BP Boszhardt 1977; Hurley 1975; Bender et al. 1967: 534 1973: 620; Faunmap 2102 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Hotopp 1978; Tiffany 1981,
  
}
@misc{Faunmap 2274,
  
}
@misc{Bender 1969 University of Wisconsin Radiocarbon Dates VI,
  
}
@misc{Salkin 2000; Stoltman and Christiansen 2000; Boszhardt 1977; Hurley 1974; Bender et al. 1967: 537 1968: 475 1969: 228,
  
}
@misc{Boszhardt 1977; Hurley 1975; Bender et al. 1967: 534 1973: 620; Faunmap 2102,
  
}
@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":"Hotopp 1978; Tiffany 1981","bibtex_type":"misc"}{"bibtex_key":"Faunmap 2274","bibtex_type":"misc"}{"bibtex_key":"Bender 1969 University of Wisconsin Radiocarbon Dates VI","bibtex_type":"misc"}{"bibtex_key":"Salkin 2000; Stoltman and Christiansen 2000; Boszhardt 1977; Hurley 1974; Bender et al. 1967: 537 1968: 475 1969: 228","bibtex_type":"misc"}{"bibtex_key":"Boszhardt 1977; Hurley 1975; Bender et al. 1967: 534 1973: 620; Faunmap 2102","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: Hotopp 1978; Tiffany 1981
:bibtex_type: :misc
---
:bibtex_key: Faunmap 2274
:bibtex_type: :misc
---
:bibtex_key: Bender 1969 University of Wisconsin Radiocarbon Dates VI
:bibtex_type: :misc
---
:bibtex_key: 'Salkin 2000; Stoltman and Christiansen 2000; Boszhardt 1977; Hurley
  1974; Bender et al. 1967: 537 1968: 475 1969: 228'
:bibtex_type: :misc
---
:bibtex_key: 'Boszhardt 1977; Hurley 1975; Bender et al. 1967: 534 1973: 620; Faunmap
  2102'
: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