Site type

Location

Coordinates (degrees)
041.234° N, 077.638° W
Coordinates (DMS)
041° 14' 00" W, 077° 38' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (13)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-19126 SEEDS Zea mays AMS 420±40 BP GAI Consultants 1995; Hart and Sidell 1996 1997 Bird et al. 2022
AA-19127 SEEDS Zea mays AMS 985±45 BP GAI Consultants 1995; Hart and Sidell 1996 1997 Bird et al. 2022
AA-19128 SEEDS Cucurbita pepo AMS 2625±45 BP GAI Consultants 1995; Hart and Sidell 1996 1997 Bird et al. 2022
AA-19129 SEEDS Cucurbita pepo AMS 5404±552 BP GAI Consultants 1995; Hart and Sidell 1996 1997 Bird et al. 2022
Beta-173479 CHARCOAL NA NA 7510±40 BP Public Archaeology Laboratory C14 Database; Waller and Ritchie 2002 Bird et al. 2022
PITT-1165 soil; sol NA NA 4050±230 BP Hart and Sidell 1996 1997 Bird et al. 2022
PITT-1166 soil; sol NA NA 5200±350 BP Hart and Sidell 1996 1997 Bird et al. 2022
PITT-1168 soil; sol NA NA 6355±155 BP Hart and Sidell 1996 1997 Bird et al. 2022
PITT-1169 soil; sol NA NA 5045±420 BP Hart and Sidell 1996 1997 Bird et al. 2022
PITT-1171 soil; sol NA NA 5025±60 BP Hart and Sidell 1996 1997 Bird et al. 2022
PITT-1172 soil; sol NA NA 5790±240 BP Hart and Sidell 1996 1997 Bird et al. 2022
PITT-1174 soil; sol NA NA 5830±130 BP Hart and Sidell 1996 1997 Bird et al. 2022
PITT-1177 soil; sol NA NA 4455±70 BP Herbstritt 1988 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{GAI Consultants 1995; Hart and Sidell 1996 1997,
  
}
@misc{Public Archaeology Laboratory C14 Database; Waller and Ritchie 2002,
  
}
@misc{Hart and Sidell 1996 1997,
  
}
@misc{Herbstritt 1988,
  
}
@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":"GAI Consultants 1995; Hart and Sidell 1996 1997","bibtex_type":"misc"}{"bibtex_key":"Public Archaeology Laboratory C14 Database; Waller and Ritchie 2002","bibtex_type":"misc"}{"bibtex_key":"Hart and Sidell 1996 1997","bibtex_type":"misc"}{"bibtex_key":"Herbstritt 1988","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: GAI Consultants 1995; Hart and Sidell 1996 1997
:bibtex_type: :misc
---
:bibtex_key: Public Archaeology Laboratory C14 Database; Waller and Ritchie 2002
:bibtex_type: :misc
---
:bibtex_key: Hart and Sidell 1996 1997
:bibtex_type: :misc
---
:bibtex_key: Herbstritt 1988
: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