Site type

Location

200 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)
032.763° N, 087.629° W
Coordinates (DMS)
032° 45' 00" W, 087° 37' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (20)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-9951 CHARCOAL NA NA 400±50 BP 522–315 cal BP Welch 1998 Bird et al. 2022
Beta-9952 CHARCOAL NA NA 630±50 BP 667–545 cal BP Welch 1998 Bird et al. 2022
ISGS-1543 UNKNOWN NA RADIOMETRIC 640±70 BP 684–525 cal BP Maslowski et al. 1995 Bird et al. 2022
ISGS-1544 UNKNOWN NA RADIOMETRIC 560±70 BP 663–500 cal BP Maslowski et al. 1995 Bird et al. 2022
ISGS-A1733 SEEDS Zea mays AMS 720±20 BP 680–653 cal BP Tiffany and Lensink 2014 Bird et al. 2022
ISGS-A1734 SEEDS Zea mays AMS 805±20 BP 730–682 cal BP Tiffany and Lensink 2014 Bird et al. 2022
ISGS-A1735 SEEDS Zea mays AMS 790±20 BP 725–680 cal BP Tiffany and Lensink 2014 Bird et al. 2022
M-176 CHARCOAL NA RADIOMETRIC 1050±125 BP 1266–725 cal BP Ritchie 1969; Funk 1993; Crane 1956: 668 Bird et al. 2022
M-2015 CHARCOAL NA RADIOMETRIC 1860±200 BP 2308–1355 cal BP Crane and Griffin 1972: 157 Bird et al. 2022
M-2016 CHARCOAL NA RADIOMETRIC 1740±140 BP 1980–1350 cal BP Crane and Griffin 1972: 157 Bird et al. 2022
M-2017 OTHER charred bark; plant remains RADIOMETRIC 1910±140 BP 2300–1520 cal BP Crane and Griffin 1972: 157 Bird et al. 2022
M-2018 OTHER charred bark; plant remains RADIOMETRIC 1920±140 BP 2300–1530 cal BP Crane and Griffin 1972: 157 Bird et al. 2022
M-2019 CHARCOAL NA RADIOMETRIC 1490±130 BP 1699–1125 cal BP Crane and Griffin 1972: 157 Bird et al. 2022
M-2020 CHARCOAL NA RADIOMETRIC 1550±150 BP 1818–1130 cal BP Crane and Griffin 1972: 157 Bird et al. 2022
M-2021 CHARCOAL NA RADIOMETRIC 1400±130 BP 1545–979 cal BP Crane and Griffin 1972: 157 Bird et al. 2022
S-791 carbonized cedar wood; bois de cédre carbonisé NA NA 320±70 BP 511–151 cal BP Rutherford et al. 1979 Bird et al. 2022
S-792 charcoal; charbon de bois NA NA 435±85 BP 627–305 cal BP Ziolkowski et al 1994 Bird et al. 2022
S-857 charcoal; charbon de bois NA NA 645±105 BP 775–493 cal BP Rutherford et al. 1979 Bird et al. 2022
S-858 charcoal; charbon de bois NA NA 1070±105 BP 1247–737 cal BP Rutherford et al. 1979 Bird et al. 2022
S-859 charcoal; charbon de bois NA NA 225±90 BP 455–349 cal BP Rutherford et al. 1979 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Welch 1998,
  
}
@misc{Maslowski et al. 1995,
  
}
@misc{Tiffany and Lensink 2014,
  
}
@misc{Ritchie 1969; Funk 1993; Crane 1956: 668,
  
}
@misc{Crane and Griffin 1972: 157,
  
}
@misc{Rutherford et al. 1979,
  
}
@misc{Ziolkowski et al 1994,
  
}
@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":"Welch 1998","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995","bibtex_type":"misc"}{"bibtex_key":"Tiffany and Lensink 2014","bibtex_type":"misc"}{"bibtex_key":"Ritchie 1969; Funk 1993; Crane 1956: 668","bibtex_type":"misc"}{"bibtex_key":"Crane and Griffin 1972: 157","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1979","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","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: Welch 1998
:bibtex_type: :misc
---
:bibtex_key: Maslowski et al. 1995
:bibtex_type: :misc
---
:bibtex_key: Tiffany and Lensink 2014
:bibtex_type: :misc
---
:bibtex_key: 'Ritchie 1969; Funk 1993; Crane 1956: 668'
:bibtex_type: :misc
---
:bibtex_key: 'Crane and Griffin 1972: 157'
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1979
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
: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