Site type

Location

Coordinates (degrees)
043.335° N, 084.053° W
Coordinates (DMS)
043° 20' 00" W, 084° 03' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (24)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-261449 NA POTTERYRESIDUE NA AMS 2040±40 BP 2108–1885 cal BP Raviele 2010 Assessing carbonized archaeological cooking residues... Bird et al. 2022
Beta-261451 NA POTTERYRESIDUE NA AMS 1100±40 BP 1173–925 cal BP Raviele 2010 Assessing carbonized archaeological cooking residues... Bird et al. 2022
Beta-261454 NA POTTERYRESIDUE NA AMS 2030±40 BP 2100–1843 cal BP Raviele 2010 Assessing carbonized archaeological cooking residues... Bird et al. 2022
Beta-261455 NA POTTERYRESIDUE NA AMS 2000±40 BP 2042–1828 cal BP Raviele 2010 Assessing carbonized archaeological cooking residues... Bird et al. 2022
Beta-261456 NA POTTERYRESIDUE NA AMS 2120±40 BP 2299–1950 cal BP Raviele 2010 Assessing carbonized archaeological cooking residues... Bird et al. 2022
Beta-261459 NA POTTERYRESIDUE NA AMS 2070±40 BP 2144–1925 cal BP Hart et al 2012 The potential of bulk … Bird et al. 2022
Beta-261460 NA POTTERYRESIDUE NA AMS 1990±40 BP 2038–1825 cal BP Raviele 2010 Assessing carbonized archaeological cooking residues... Bird et al. 2022
Beta-261463 NA POTTERYRESIDUE NA AMS 2050±40 BP 2116–1890 cal BP Raviele 2010 Assessing carbonized archaeological cooking residues... Bird et al. 2022
Beta-262038 NA POTTERYRESIDUE NA AMS 1940±40 BP 1981–1743 cal BP Raviele 2010 Assessing carbonized archaeological cooking residues... Bird et al. 2022
Beta-262039 NA POTTERYRESIDUE NA AMS 1910±40 BP 1925–1730 cal BP Raviele 2010 Assessing carbonized archaeological cooking residues... Bird et al. 2022
Beta-262040 NA POTTERYRESIDUE NA AMS 2000±40 BP 2042–1828 cal BP Raviele 2010 Assessing carbonized archaeological cooking residues... Bird et al. 2022
Beta-66989 NA CHARCOAL NA NA 1790±100 BP 1931–1416 cal BP Stothers et al. 1994; Lovis 1990b; Crane and Griffin 1966: 262 1968: 74; Lovis et al. 2001; Speth 1972 Bird et al. 2022
Beta-66990 NA CHARCOAL NA NA 1650±100 BP 1737–1317 cal BP Stothers et al. 1994; Lovis 1990b; Crane and Griffin 1966: 262 1968: 74; Lovis et al. 2001; Speth 1972 Bird et al. 2022
CURL-18241 NA POTTERYRESIDUE NA AMS 1650±15 BP 1549–1518 cal BP Keehner and Adair 2019- Modeling Kansas City Hopewell Developments and Regional Social Interactions Bird et al. 2022
CURL-18254 NA POTTERYRESIDUE NA AMS 1580±15 BP 1518–1407 cal BP Keehner and Adair 2019- Modeling Kansas City Hopewell Developments and Regional Social Interactions Bird et al. 2022
CURL-18272 NA POTTERYRESIDUE NA AMS 1695±15 BP 1688–1540 cal BP Keehner and Adair 2018 Modeling Kansas City Hopewell… Bird et al. 2022
M-1524 NA CHARCOAL mainly Carya some Quercus Salix Prunus and Ulmus charcoal and nutshells RADIOMETRIC 2490±130 BP 2852–2180 cal BP Stothers et al. 1994; Lovis 1990b; Crane and Griffin 1966: 262 1968: 74; Lovis et al. 2001; Speth 1972 Bird et al. 2022
M-1525 NA CHARCOAL mainly Carya and Quercus some Salix Prunus Alnus and Ulmus RADIOMETRIC 2480±150 BP 2872–2149 cal BP Stothers et al. 1994; Lovis 1990b; Crane and Griffin 1966: 262 1968: 74; Lovis et al. 2001; Speth 1972 Bird et al. 2022
M-1633 NA wood; bois NA NA 5050±170 BP 6266–5465 cal BP Stothers et al. 1994; Lovis 1990b; Crane and Griffin 1966: 262 1968: 74; Lovis et al. 2001; Speth 1972 Bird et al. 2022
M-1634 NA wood; bois NA NA 4250±150 BP 5287–4420 cal BP Crane and Griffin 1966: 268 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Raviele 2010 Assessing carbonized archaeological cooking residues...,
  
}
@misc{Hart et al 2012 The potential of bulk …,
  
}
@misc{Stothers et al. 1994; Lovis 1990b; Crane and Griffin 1966: 262 1968: 74; Lovis et al. 2001; Speth 1972,
  
}
@misc{Keehner and Adair 2019- Modeling Kansas City Hopewell Developments and Regional Social Interactions,
  
}
@misc{Keehner and Adair 2018 Modeling Kansas City Hopewell…,
  
}
@misc{Crane and Griffin 1966: 268,
  
}
@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":"Raviele 2010 Assessing carbonized archaeological cooking residues...","bibtex_type":"misc"}{"bibtex_key":"Hart et al 2012 The potential of bulk …","bibtex_type":"misc"}{"bibtex_key":"Stothers et al. 1994; Lovis 1990b; Crane and Griffin 1966: 262 1968: 74; Lovis et al. 2001; Speth 1972","bibtex_type":"misc"}{"bibtex_key":"Keehner and Adair 2019- Modeling Kansas City Hopewell Developments and Regional Social Interactions","bibtex_type":"misc"}{"bibtex_key":"Keehner and Adair 2018 Modeling Kansas City Hopewell…","bibtex_type":"misc"}{"bibtex_key":"Crane and Griffin 1966: 268","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: Raviele 2010 Assessing carbonized archaeological cooking residues...
:bibtex_type: :misc
---
:bibtex_key: Hart et al 2012 The potential of bulk …
:bibtex_type: :misc
---
:bibtex_key: 'Stothers et al. 1994; Lovis 1990b; Crane and Griffin 1966: 262 1968:
  74; Lovis et al. 2001; Speth 1972'
:bibtex_type: :misc
---
:bibtex_key: Keehner and Adair 2019- Modeling Kansas City Hopewell Developments and
  Regional Social Interactions
:bibtex_type: :misc
---
:bibtex_key: Keehner and Adair 2018 Modeling Kansas City Hopewell…
:bibtex_type: :misc
---
:bibtex_key: 'Crane and Griffin 1966: 268'
: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