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)
039.755° N, 084.291° W
Coordinates (DMS)
039° 45' 00" W, 084° 17' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
DIC-140 unknown; inconnu NA NA 820±110 BP 955–556 cal BP FIND REFERENCE (CDOT) Bird et al. 2022
DIC-141 unknown; inconnu NA NA 800±180 BP 1175–491 cal BP Butler 1981; Cassells 1983; Kingsbury and Nowak 1980 Bird et al. 2022
DIC-145 unknown; inconnu NA NA 820±155 BP 1058–525 cal BP Butler 1981; Ellwood 1987; Gooding 1981; Wolffe 2011 Bird et al. 2022
DIC-148 unknown; inconnu NA NA 900±160 BP 1176–553 cal BP Herbstritt 1988; Custer 1996 Bird et al. 2022
DIC-151 unknown; inconnu NA NA 890±100 BP 1045–655 cal BP Faunmap 1988 Bird et al. 2022
DIC-153 unknown; inconnu NA NA 830±130 BP 1045–546 cal BP Herbstritt 1988; Custer 1996 Bird et al. 2022
DIC-156 unknown; inconnu NA NA 770±310 BP 1301–142 cal BP Maslowski et al. 1995 Bird et al. 2022
OWU-448 B charcoal; charbon de bois NA NA 555±100 BP 684–325 cal BP Maslowski et al. 1995; Ogden and Hay 1973: 365 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{FIND REFERENCE (CDOT),
  
}
@misc{Butler 1981; Cassells 1983; Kingsbury and Nowak 1980,
  
}
@misc{Butler 1981; Ellwood 1987; Gooding 1981; Wolffe 2011,
  
}
@misc{Herbstritt 1988; Custer 1996,
  
}
@misc{Faunmap 1988,
  
}
@misc{Maslowski et al. 1995,
  
}
@misc{Maslowski et al. 1995; Ogden and Hay 1973: 365,
  
}
@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":"FIND REFERENCE (CDOT)","bibtex_type":"misc"}{"bibtex_key":"Butler 1981; Cassells 1983; Kingsbury and Nowak 1980","bibtex_type":"misc"}{"bibtex_key":"Butler 1981; Ellwood 1987; Gooding 1981; Wolffe 2011","bibtex_type":"misc"}{"bibtex_key":"Herbstritt 1988; Custer 1996","bibtex_type":"misc"}{"bibtex_key":"Faunmap 1988","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995; Ogden and Hay 1973: 365","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: FIND REFERENCE (CDOT)
:bibtex_type: :misc
---
:bibtex_key: Butler 1981; Cassells 1983; Kingsbury and Nowak 1980
:bibtex_type: :misc
---
:bibtex_key: Butler 1981; Ellwood 1987; Gooding 1981; Wolffe 2011
:bibtex_type: :misc
---
:bibtex_key: Herbstritt 1988; Custer 1996
:bibtex_type: :misc
---
:bibtex_key: Faunmap 1988
:bibtex_type: :misc
---
:bibtex_key: Maslowski et al. 1995
:bibtex_type: :misc
---
:bibtex_key: 'Maslowski et al. 1995; Ogden and Hay 1973: 365'
: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