Site type

Location

Coordinates (degrees)
064.889° N, 163.984° W
Coordinates (DMS)
064° 53' 00" W, 163° 59' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (10)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
I-5376 NA charcoal; charbon de bois NA NA 1660±95 BP 1735–1352 cal BP Gerlach and Mason 1992; Bockstoce 1979; Fishman et al. 1977: 217; Lawn 1971: 372; Morrison 1989: 63 2001 Bird et al. 2022
I-5377 NA charcoal; charbon de bois NA NA 1375±92 BP 1510–1065 cal BP Gerlach and Mason 1992; Bockstoce 1979; Fishman et al. 1977: 217; Lawn 1971: 372; Morrison 1989: 63 2001 Bird et al. 2022
I-5378 NA charcoal; charbon de bois NA NA 1720±181 BP 2051–1287 cal BP Gerlach and Mason 1992; Bockstoce 1979; Fishman et al. 1977: 217; Lawn 1971: 372; Morrison 1989: 63 2001 Bird et al. 2022
I-5379 NA charcoal; charbon de bois NA NA 1970±99 BP 2290–1629 cal BP Gerlach and Mason 1992; Bockstoce 1979; Fishman et al. 1977: 217; Lawn 1971: 372; Morrison 1989: 63 2001 Bird et al. 2022
I-5380 NA charcoal; charbon de bois NA NA 1590±89 BP 1695–1306 cal BP Faunmap 16; Semken 1984 Bird et al. 2022
I-5981 NA charcoal; charbon de bois NA NA 295±88 BP 511–72 cal BP Gerlach and Mason 1992; Bockstoce 1979; Fishman et al. 1977: 217; Lawn 1971: 372; Morrison 1989: 63 2001 Bird et al. 2022
I-5982 NA charcoal; charbon de bois NA NA 1245±74 BP 1296–977 cal BP Gerlach and Mason 1992; Bockstoce 1979; Fishman et al. 1977: 217; Lawn 1971: 372; Morrison 1989: 63 2001 Bird et al. 2022
I-5983 NA charcoal; charbon de bois NA NA 2045±79 BP 2300–1748 cal BP Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Clewlow Wells 1981 Bird et al. 2022
I-6085 NA charcoal; charbon de bois NA NA 2210±90 BP 2407–1941 cal BP CARD Bird et al. 2022
P-1633 NA charcoal; charbon de bois NA NA 2284±56 BP 2415–2122 cal BP Delfneuf et al. 1998 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{CARD,
  
}
@misc{Delfneuf et al. 1998,
  
}
@misc{Gerlach and Mason 1992; Bockstoce 1979; Fishman et al. 1977: 217; Lawn 1971: 372; Morrison 1989: 63 2001,
  
}
@misc{Faunmap 16; Semken 1984,
  
}
@misc{Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Clewlow Wells 1981,
  
}
@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":"CARD","bibtex_type":"misc"}{"bibtex_key":"Delfneuf et al. 1998","bibtex_type":"misc"}{"bibtex_key":"Gerlach and Mason 1992; Bockstoce 1979; Fishman et al. 1977: 217; Lawn 1971: 372; Morrison 1989: 63 2001","bibtex_type":"misc"}{"bibtex_key":"Faunmap 16; Semken 1984","bibtex_type":"misc"}{"bibtex_key":"Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Clewlow Wells 1981","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: CARD
:bibtex_type: :misc
---
:bibtex_key: Delfneuf et al. 1998
:bibtex_type: :misc
---
:bibtex_key: 'Gerlach and Mason 1992; Bockstoce 1979; Fishman et al. 1977: 217; Lawn
  1971: 372; Morrison 1989: 63 2001'
:bibtex_type: :misc
---
:bibtex_key: Faunmap 16; Semken 1984
:bibtex_type: :misc
---
:bibtex_key: Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Clewlow Wells
  1981
: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