Site type

Location

Coordinates (degrees)
044.857° N, 072.912° W
Coordinates (DMS)
044° 51' 00" W, 072° 54' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (19)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-156907 SEEDS Zea mays AMS 840±40 BP 899–675 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-156908 CHARCOAL Juglans cinerea unidentified wood and bark AMS 410±40 BP 524–319 cal BP Corey et al. 2002; Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-156909 CHARCOAL NA AMS 580±70 BP 665–510 cal BP Corey et al. 2002; Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-156911 CHARCOAL Carya AMS 620±50 BP 665–542 cal BP Corey et al. 2002; Robinson et al. 2016 database Bird et al. 2022
Beta-157549 CHARCOAL Fagus grandifolia AMS 1590±40 BP 1535–1389 cal BP Corey et al. 2002; Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203302 CHARCOAL NA AMS 3000±50 BP 3347–3005 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203303 CHARCOAL NA RADIOMETRIC 910±70 BP 929–687 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203304 CHARCOAL NA RADIOMETRIC 720±60 BP 735–553 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203305 CHARCOAL NA AMS 790±50 BP 789–655 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203306 CHARCOAL NA RADIOMETRIC 870±70 BP 915–680 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203307 CHARCOAL NA AMS 1690±70 BP 1713–1410 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203308 CHARCOAL NA AMS 4250±40 BP 4873–4627 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203309 CHARCOAL NA AMS 4770±40 BP 5589–5330 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203310 CHARCOAL NA RADIOMETRIC 4030±80 BP 4821–4292 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203379 CHARCOAL NA RADIOMETRIC 3870±70 BP 4511–4090 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-203380 CHARCOAL NA RADIOMETRIC 4020±100 BP 4825–4240 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-205049 CHARCOAL NA AMS 4220±40 BP 4857–4620 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-205050 CHARCOAL NA AMS 3650±40 BP 4089–3850 cal BP Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database Bird et al. 2022
Beta-25214 unknown; inconnu NA NA 8300±140 BP 9543–8812 cal BP Maslowski et al. 1995 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database,
  
}
@misc{Corey et al. 2002;  Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database,
  
}
@misc{Corey et al. 2002; Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database,
  
}
@misc{Corey et al. 2002; Robinson et al. 2016 database,
  
}
@misc{Maslowski et al. 1995,
  
}
@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":"Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database","bibtex_type":"misc"}{"bibtex_key":"Corey et al. 2002;  Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database","bibtex_type":"misc"}{"bibtex_key":"Corey et al. 2002; Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database","bibtex_type":"misc"}{"bibtex_key":"Corey et al. 2002; Robinson et al. 2016 database","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995","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: Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14 Database
:bibtex_type: :misc
---
:bibtex_key: Corey et al. 2002;  Cowie et al. 2012; Robinson and Ostrum 2018 VDHP
  C14 Database
:bibtex_type: :misc
---
:bibtex_key: Corey et al. 2002; Cowie et al. 2012; Robinson and Ostrum 2018 VDHP C14
  Database
:bibtex_type: :misc
---
:bibtex_key: Corey et al. 2002; Robinson et al. 2016 database
:bibtex_type: :misc
---
:bibtex_key: Maslowski et al. 1995
: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