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)
031.549° N, 082.849° W
Coordinates (DMS)
031° 32' 00" W, 082° 50' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (9)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-179933 POTTERYRESIDUE from interior of Swift Creek Complicated Stamped Sherd AMS 1310±40 BP 1300–1152 cal BP Stephenson and Snow (2004) Swift Creek to Square Ground Lamar… Early Georgia 32:2 Bird et al. 2022
Beta-244056 UNKNOWN NA NA 1122±40 BP 1175–933 cal BP Smith and Stephenson 2018-The Spatial Dimension of the Woodland Period Bird et al. 2022
UGa-1333 CHARCOAL NA RADIOMETRIC 1135±60 BP 1241–926 cal BP Maslowski et al. 1995; Riggs 1986; Brandau and Noakes 1978: 499 Bird et al. 2022
UGa-1334 CHARCOAL NA RADIOMETRIC 3370±110 BP 3880–3379 cal BP Maslowski et al. 1995; Riggs 1986; Brandau and Noakes 1978: 499 Bird et al. 2022
UGa-929 CHARCOAL NA RADIOMETRIC 1510±100 BP 1688–1179 cal BP Maslowski et al. 1995; Riggs 1986; Brandau and Noakes 1978: 499 Bird et al. 2022
WIS-1747 CHARCOAL NA RADIOMETRIC 1230±70 BP 1290–975 cal BP Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1987: 400 Bird et al. 2022
WIS-1748 CHARCOAL NA RADIOMETRIC 1080±70 BP 1177–797 cal BP Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1987: 400; Drooker 1997 Bird et al. 2022
WIS-1792 CHARCOAL NA RADIOMETRIC 1320±70 BP 1346–1072 cal BP Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1987: 400 Bird et al. 2022
WIS-1876 CHARCOAL NA RADIOMETRIC 560±70 BP 663–500 cal BP Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1988: 369; Drooker 1997 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Stephenson and Snow (2004) Swift Creek to Square Ground Lamar… Early Georgia 32:2,
  
}
@misc{Smith and Stephenson 2018-The Spatial Dimension of the Woodland Period,
  
}
@misc{Maslowski et al. 1995; Riggs 1986; Brandau and Noakes 1978: 499,
  
}
@misc{Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1987: 400,
  
}
@misc{Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1987: 400; Drooker 1997,
  
}
@misc{Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1988: 369; Drooker 1997,
  
}
@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":"Stephenson and Snow (2004) Swift Creek to Square Ground Lamar… Early Georgia 32:2","bibtex_type":"misc"}{"bibtex_key":"Smith and Stephenson 2018-The Spatial Dimension of the Woodland Period","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995; Riggs 1986; Brandau and Noakes 1978: 499","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1987: 400","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1987: 400; Drooker 1997","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1988: 369; Drooker 1997","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: Stephenson and Snow (2004) Swift Creek to Square Ground Lamar… Early
  Georgia 32:2
:bibtex_type: :misc
---
:bibtex_key: Smith and Stephenson 2018-The Spatial Dimension of the Woodland Period
:bibtex_type: :misc
---
:bibtex_key: 'Maslowski et al. 1995; Riggs 1986; Brandau and Noakes 1978: 499'
:bibtex_type: :misc
---
:bibtex_key: 'Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1987: 400'
:bibtex_type: :misc
---
:bibtex_key: 'Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1987: 400;
  Drooker 1997'
:bibtex_type: :misc
---
:bibtex_key: 'Maslowski et al. 1995; Riggs 1986; Steventon and Kutzbach 1988: 369;
  Drooker 1997'
: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