Site type

Location

Coordinates (degrees)
040.092° N, 082.483° W
Coordinates (DMS)
040° 05' 00" W, 082° 28' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-35046 wood; bois NA NA 12620±90 BP Garland 1990a Bird et al. 2022
PITT-833 peat and soil; tourbe et sol NA NA 12230±70 BP Maslowski et al. 1995; Lepper 1999; Fisher et al. 1991 1994; Lepper et al. 1991: 124; Faunmap 2272 Bird et al. 2022
Beta-35045 wood; bois NA NA 11720±110 BP Maslowski et al. 1995; Lepper 1999; Fisher et al. 1991 1994; Lepper et al. 1991: 124; Faunmap 2272 Bird et al. 2022
Beta-38241 plant remains; restes de plantes NA NA 11660±120 BP Frankland 1990 Bird et al. 2022
PITT-841 beaver-gnawed wood; bois rongépar des castors NA NA 11470±90 BP Petersen and Sanger 1991; Heckenberger et al. 1990: 112; Faunmap 340 Bird et al. 2022
PITT-832 plant remains; restes de plantes NA NA 11450±70 BP Maslowski et al. 1995; Lepper 1999; Fisher et al. 1991 1994; Lepper et al. 1991: 124; Faunmap 2272 Bird et al. 2022
NSRL-283 BONE Mammut americanum; mastodon bone collagen AMS 11390±80 BP Maslowski et al. 1995; Lepper 1999; Fisher et al. 1991 1994; Lepper et al. 1991: 124; Faunmap 2272 Bird et al. 2022
AA-6980 BONE Mastadon collagen AMS 11390±80 BP Fisher et al. 1994:44; Maslowski et al. 1995:8; Kentucky OH and West Virginia Radiocarbon Database; PIDBA; Shane Miller (personal communication 2016) Bird et al. 2022
Beta-112125 CHARCOAL NA NA 1520±60 BP Lepper et al. 2001; Ohio SHPO personal communication 2019 Bird et al. 2022
Beta-166758 CHARCOAL NA NA 1041±40 BP Ohio SHPO personal communication 2019 Bird et al. 2022
Beta-169528 CHARCOAL Quercus NA 1040±40 BP Ohio SHPO personal communication 2019 Bird et al. 2022
Beta-112126 CHARCOAL NA NA 690±50 BP Lepper et al. 2001; Ohio SHPO personal communication 2019 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Fisher et al. 1994:44; Maslowski et al. 1995:8; Kentucky OH and West Virginia Radiocarbon Database; PIDBA; Shane Miller (personal communication 2016),
  
}
@misc{Lepper et al. 2001; Ohio SHPO personal communication 2019,
  
}
@misc{Ohio SHPO personal communication 2019,
  
}
@misc{Maslowski et al. 1995; Lepper 1999; Fisher et al. 1991 1994; Lepper et al. 1991: 124; Faunmap 2272,
  
}
@misc{Garland 1990a,
  
}
@misc{Frankland 1990,
  
}
@misc{Petersen and Sanger 1991; Heckenberger et al. 1990: 112; Faunmap 340,
  
}
@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":"Fisher et al. 1994:44; Maslowski et al. 1995:8; Kentucky OH and West Virginia Radiocarbon Database; PIDBA; Shane Miller (personal communication 2016)","bibtex_type":"misc"}{"bibtex_key":"Lepper et al. 2001; Ohio SHPO personal communication 2019","bibtex_type":"misc"}{"bibtex_key":"Ohio SHPO personal communication 2019","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995; Lepper 1999; Fisher et al. 1991 1994; Lepper et al. 1991: 124; Faunmap 2272","bibtex_type":"misc"}{"bibtex_key":"Garland 1990a","bibtex_type":"misc"}{"bibtex_key":"Frankland 1990","bibtex_type":"misc"}{"bibtex_key":"Petersen and Sanger 1991; Heckenberger et al. 1990: 112; Faunmap 340","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: Fisher et al. 1994:44; Maslowski et al. 1995:8; Kentucky OH and West
  Virginia Radiocarbon Database; PIDBA; Shane Miller (personal communication 2016)
:bibtex_type: :misc
---
:bibtex_key: Lepper et al. 2001; Ohio SHPO personal communication 2019
:bibtex_type: :misc
---
:bibtex_key: Ohio SHPO personal communication 2019
:bibtex_type: :misc
---
:bibtex_key: 'Maslowski et al. 1995; Lepper 1999; Fisher et al. 1991 1994; Lepper
  et al. 1991: 124; Faunmap 2272'
:bibtex_type: :misc
---
:bibtex_key: Garland 1990a
:bibtex_type: :misc
---
:bibtex_key: Frankland 1990
:bibtex_type: :misc
---
:bibtex_key: 'Petersen and Sanger 1991; Heckenberger et al. 1990: 112; Faunmap 340'
: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