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)
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 (21)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
B-2433 whale bone; os de baleine NA NA 1288±70 BP 1341–1010 cal BP Dumond 1998; Bandi 1984 Bird et al. 2022
B-2434 wood; bois NA NA 1100±70 BP 1241–802 cal BP Gerlach and Mason 1992; Mason 1998; Dumond 1998; Bandi 1984; Dumond and Griffin 2002 Bird et al. 2022
B-2436 wood; bois NA NA 990±85 BP 1066–725 cal BP Mason 1998 Bird et al. 2022
B-2440 whale bone; os de baleine NA NA 1588±90 BP 1695–1305 cal BP Gerlach and Mason 1992; Dumond 1998; Bandi 1984; Dumond and Griffin 2002 Bird et al. 2022
B-2852 wood; bois NA NA 1270±70 BP 1304–1001 cal BP Gerlach and Mason 1992; Mason 1998; Dumond 1998; Bandi 1984; Dumond and Griffin 2002 Bird et al. 2022
B-2853 whale bone; os de baleine NA NA 1948±50 BP 1990–1741 cal BP Gerlach and Mason 1992; Dumond 1998; Bandi 1984; Dumond and Griffin 2002 Bird et al. 2022
B-2857 whale bone; os de baleine NA NA 1298±60 BP 1304–1070 cal BP Dumond 1998; Bandi 1984 Bird et al. 2022
B-2858 wood; bois NA NA 990±70 BP 1055–734 cal BP Dumond 1998; Bandi 1984 Bird et al. 2022
B-2859 wood; bois NA NA 1530±80 BP 1568–1292 cal BP Dumond 1998; Bandi 1984 Bird et al. 2022
B-2862 wood; bois NA NA 940±60 BP 955–730 cal BP Dumond 1998; Bandi 1984 Bird et al. 2022
B-2870 whale bone; os de baleine NA NA 1528±60 BP 1527–1309 cal BP Dumond 1998; Bandi 1984 Bird et al. 2022
B-2875 whale bone; os de baleine NA NA 1908±50 BP 1942–1711 cal BP Dumond 1998; Bandi 1984 Bird et al. 2022
B-2876 whale bone; os de baleine NA NA 1737±60 BP 1780–1421 cal BP Gerlach and Mason 1992; Mason 1998; Bandi 1984 Bird et al. 2022
B-2877 whale bone; os de baleine NA NA 2637±40 BP 2848–2720 cal BP Gerlach and Mason 1992; Mason 1998; Dumond 1998; Bandi 1984 Bird et al. 2022
B-3204 wood; bois NA NA 460±70 BP 629–315 cal BP Dumond 1998; Bandi 1984 Bird et al. 2022
B-3205 wood; bois NA NA 1410±60 BP 1405–1177 cal BP Gerlach and Mason 1992; Mason 1998; Dumond 1998; Bandi 1984 Bird et al. 2022
B-3206 wood; bois NA NA 1310±60 BP 1310–1071 cal BP Dumond 1998; Bandi 1984 Bird et al. 2022
B-3210 wood; bois NA NA 1130±70 BP 1248–917 cal BP Gerlach and Mason 1992; Mason 1998; Bandi 1984 Bird et al. 2022
B-4406 whale bone collagené; collagène osseuxé de baleine NA NA 1350±30 BP 1307–1160 cal BP Mason 1998 Bird et al. 2022
Beta-81489 walrus bone collagen; collagène osseux de morse NA NA 2330±60 BP 2695–2150 cal BP Dumond 1998 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Dumond 1998; Bandi 1984,
  
}
@misc{Gerlach and Mason 1992; Mason 1998; Dumond 1998; Bandi 1984; Dumond and Griffin 2002,
  
}
@misc{Mason 1998,
  
}
@misc{Gerlach and Mason 1992; Dumond 1998; Bandi 1984; Dumond and Griffin 2002,
  
}
@misc{Gerlach and Mason 1992; Mason 1998; Bandi 1984,
  
}
@misc{Gerlach and Mason 1992; Mason 1998; Dumond 1998; Bandi 1984,
  
}
@misc{Dumond 1998,
  
}
@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":"Dumond 1998; Bandi 1984","bibtex_type":"misc"}{"bibtex_key":"Gerlach and Mason 1992; Mason 1998; Dumond 1998; Bandi 1984; Dumond and Griffin 2002","bibtex_type":"misc"}{"bibtex_key":"Mason 1998","bibtex_type":"misc"}{"bibtex_key":"Gerlach and Mason 1992; Dumond 1998; Bandi 1984; Dumond and Griffin 2002","bibtex_type":"misc"}{"bibtex_key":"Gerlach and Mason 1992; Mason 1998; Bandi 1984","bibtex_type":"misc"}{"bibtex_key":"Gerlach and Mason 1992; Mason 1998; Dumond 1998; Bandi 1984","bibtex_type":"misc"}{"bibtex_key":"Dumond 1998","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: Dumond 1998; Bandi 1984
:bibtex_type: :misc
---
:bibtex_key: Gerlach and Mason 1992; Mason 1998; Dumond 1998; Bandi 1984; Dumond and
  Griffin 2002
:bibtex_type: :misc
---
:bibtex_key: Mason 1998
:bibtex_type: :misc
---
:bibtex_key: Gerlach and Mason 1992; Dumond 1998; Bandi 1984; Dumond and Griffin 2002
:bibtex_type: :misc
---
:bibtex_key: Gerlach and Mason 1992; Mason 1998; Bandi 1984
:bibtex_type: :misc
---
:bibtex_key: Gerlach and Mason 1992; Mason 1998; Dumond 1998; Bandi 1984
:bibtex_type: :misc
---
:bibtex_key: Dumond 1998
: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