Site type

Location

Coordinates (degrees)
031.505° N, 081.419° W
Coordinates (DMS)
031° 30' 00" W, 081° 25' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (64)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
UGAMS-15035 SOIL NA AMS 2530±25 BP Ritchison 2019 Bird et al. 2022
UGAMS-15036 SOIL NA AMS 5250±30 BP Ritchison 2019 Bird et al. 2022
UGAMS-15037 SOIL NA AMS 1800±25 BP Ritchison 2019 Bird et al. 2022
UGAMS-15038 SOIL NA AMS 2680±25 BP Ritchison 2019 Bird et al. 2022
UGAMS-15932 POTTERYRESIDUE Sooted sherd AMS 1410±35 BP Kenan Field Field School Summer 2013; Turck and Thompson database Bird et al. 2022
UGAMS-15933 POTTERYRESIDUE Sooted sherd AMS 3270±30 BP Kenan Field Field School Summer 2013; Turck and Thompson database Bird et al. 2022
UGAMS-15933in. POTTERYRESIDUE Soot from inside of sherd AMS 3170±35 BP Kenan Field Field School Summer 2013; Turck and Thompson database Bird et al. 2022
UGAMS-20534 SHELL Mercenaria AMS 1800±30 BP Ritchison 2019 Bird et al. 2022
UGAMS-20535 SHELL Mercenaria AMS 1730±30 BP Ritchison 2019 Bird et al. 2022
UGAMS-35480 WOOD Pinus AMS 1580±20 BP Ritchison 2019 Bird et al. 2022
UGAMS-35481 WOOD Pinus AMS 930±20 BP Ritchison 2019 Bird et al. 2022
UGAMS-35482 WOOD Pinus AMS 4070±20 BP Ritchison 2019 Bird et al. 2022
UGAMS-35483 WOOD Pinus AMS 1450±20 BP Ritchison 2019 Bird et al. 2022
UGAMS-35485 WOOD Pinus AMS 930±20 BP Ritchison 2019 Bird et al. 2022
UGAMS-35486 WOOD Pinus AMS 930±20 BP Ritchison 2019 Bird et al. 2022
UGAMS-35487 WOOD Pinus AMS 1470±20 BP Ritchison 2019 Bird et al. 2022
UGAMS-35488 SEEDS Quercus vir. AMS 690±20 BP Ritchison 2019 Bird et al. 2022
UGAMS-35489 UNKNOWN UID Conifer AMS 2400±20 BP Ritchison 2019 Bird et al. 2022
UGAMS-35490 SEEDS Juniperus vir. AMS 4040±20 BP Ritchison 2019 Bird et al. 2022
UGAMS-35491 SEEDS Pinus AMS 1720±20 BP Ritchison 2019 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Ritchison 2019,
  
}
@misc{Kenan Field Field School Summer 2013; Turck and Thompson database,
  
}
@misc{Calvert et al. 1979:108; Turck and Thompson database,
  
}
@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":"Ritchison 2019","bibtex_type":"misc"}{"bibtex_key":"Kenan Field Field School Summer 2013; Turck and Thompson database","bibtex_type":"misc"}{"bibtex_key":"Calvert et al. 1979:108; Turck and Thompson database","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: Ritchison 2019
:bibtex_type: :misc
---
:bibtex_key: Kenan Field Field School Summer 2013; Turck and Thompson database
:bibtex_type: :misc
---
:bibtex_key: Calvert et al. 1979:108; Turck and Thompson database
: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