Site type

Location

Coordinates (degrees)
043.006° N, 076.195° W
Coordinates (DMS)
043° 00' 00" W, 076° 11' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-135891 WOOD NA AMS 720±40 BP Hart 2000 Bird et al. 2022
Beta-138610 WOOD NA AMS 840±40 BP Hart 2000 Bird et al. 2022
Beta-142812 BONE Animalia NA 910±50 BP Buker 2004; George 2007 Bird et al. 2022
GrM-14982 SEEDS Zea mays AMS 543±20 BP Birch et al 2020-Refined Radiocarbon Chronologies for Northern Iroquoian Site Sequences Bird et al. 2022
GrM-14983 SEEDS Zea mays AMS 624±25 BP Birch et al 2020-Refined Radiocarbon Chronologies for Northern Iroquoian Site Sequences Bird et al. 2022
ISGS-A657 SEEDS Zea mays AMS 600±30 BP Hart and Lovis 2007 Bird et al. 2022
ISGS-A660 OTHER Grass blade AMS 560±30 BP Hart and Lovis 2007 Bird et al. 2022
ISGS-A661 SEEDS Zea mays AMS 560±25 BP Hart and Lovis 2007 Bird et al. 2022
ISGS-A759 POTTERYRESIDUE NA AMS 520±30 BP Hart and Lovis (2007) Bird et al. 2022
M-637 CHARCOAL NA RADIOMETRIC 1150±100 BP Bozell and Winfrey 1994; Syms 1977: 85; Reeves 1983: 272; Crane and Griffin 1960: 39; Kivett and Metcalf 1997: 151 Bird et al. 2022
UGAMS-35644 SEEDS Zea mays AMS 576±19 BP Birch et al 2020-Refined Radiocarbon Chronologies for Northern Iroquoian Site Sequences Bird et al. 2022
Y-1380 CHARCOAL NA RADIOMETRIC 560±100 BP Ritchie 1969; Hart 2000; Stuiver 1969: 609; Tuck 1971; Faunmap 2211 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Hart 2000,
  
}
@misc{Buker 2004; George 2007,
  
}
@misc{Birch et al 2020-Refined Radiocarbon Chronologies for Northern Iroquoian Site Sequences,
  
}
@misc{Hart and Lovis 2007,
  
}
@misc{Hart and Lovis (2007),
  
}
@misc{Bozell and Winfrey 1994; Syms 1977: 85; Reeves 1983: 272; Crane and Griffin 1960: 39; Kivett and Metcalf 1997: 151,
  
}
@misc{Ritchie 1969; Hart 2000; Stuiver 1969: 609; Tuck 1971; Faunmap 2211,
  
}
@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":"Hart 2000","bibtex_type":"misc"}{"bibtex_key":"Buker 2004; George 2007","bibtex_type":"misc"}{"bibtex_key":"Birch et al 2020-Refined Radiocarbon Chronologies for Northern Iroquoian Site Sequences","bibtex_type":"misc"}{"bibtex_key":"Hart and Lovis 2007","bibtex_type":"misc"}{"bibtex_key":"Hart and Lovis (2007)","bibtex_type":"misc"}{"bibtex_key":"Bozell and Winfrey 1994; Syms 1977: 85; Reeves 1983: 272; Crane and Griffin 1960: 39; Kivett and Metcalf 1997: 151","bibtex_type":"misc"}{"bibtex_key":"Ritchie 1969; Hart 2000; Stuiver 1969: 609; Tuck 1971; Faunmap 2211","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: Hart 2000
:bibtex_type: :misc
---
:bibtex_key: Buker 2004; George 2007
:bibtex_type: :misc
---
:bibtex_key: Birch et al 2020-Refined Radiocarbon Chronologies for Northern Iroquoian
  Site Sequences
:bibtex_type: :misc
---
:bibtex_key: Hart and Lovis 2007
:bibtex_type: :misc
---
:bibtex_key: Hart and Lovis (2007)
:bibtex_type: :misc
---
:bibtex_key: 'Bozell and Winfrey 1994; Syms 1977: 85; Reeves 1983: 272; Crane and
  Griffin 1960: 39; Kivett and Metcalf 1997: 151'
:bibtex_type: :misc
---
:bibtex_key: 'Ritchie 1969; Hart 2000; Stuiver 1969: 609; Tuck 1971; Faunmap 2211'
: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