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)
064.808° N, 146.564° W
Coordinates (DMS)
064° 48' 00" W, 146° 33' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (19)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-15115 charcoal; charbon de bois NA NA 1720±90 BP 1821–1406 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-15116 charcoal; charbon de bois NA NA 2020±100 BP 2301–1716 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-18509 charcoal; charbon de bois NA NA 8960±130 BP 10403–9562 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-19496 charcoal; charbon de bois NA NA 9460±130 BP 11178–10381 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-7565 charcoal; charbon de bois NA NA 870±50 BP 909–684 cal BP Williamson 1990; Timmins 1985; L.J. Jackson p.c. 1998 Bird et al. 2022
Beta-7566 charcoal; charbon de bois NA NA 1120±90 BP 1271–800 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-7569 charcoal; charbon de bois NA NA 7760±130 BP 8985–8363 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-7570 charcoal; charbon de bois NA NA 6260±390 BP 7912–6296 cal BP Moss and Erlandson 1998 Bird et al. 2022
Beta-7636 organic sediment; sédiment organique NA NA 160±70 BP can not be calculated cal BP Oakes and Zamora 1999 Bird et al. 2022
Beta-7637 organic sediment; sédiment organique NA NA 720±60 BP 735–553 cal BP Miller Jornada Database Bird et al. 2022
Beta-9245 charcoal; charbon de bois NA NA 1000±100 BP 1175–690 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-9246 charcoal; charbon de bois NA NA 1320±80 BP 1365–1060 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-9247 charcoal; charbon de bois NA NA 500±100 BP 663–315 cal BP Noonan 2002 (Table 2.1) Bird et al. 2022
Beta-9248 charcoal; charbon de bois NA NA 950±100 BP 1057–680 cal BP Melaney 1996 Gamble and Mattingly 2012 Bird et al. 2022
Beta-9249 charcoal; charbon de bois NA NA 840±90 BP 928–573 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-9250 charcoal; charbon de bois NA NA 1120±90 BP 1271–800 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-9251 charcoal; charbon de bois NA NA 2370±80 BP 2718–2158 cal BP Erlandson et al. 1991; Lively 1996: 308 Bird et al. 2022
Beta-9252 charcoal; charbon de bois NA NA 2300±70 BP 2685–2117 cal BP Oliveira & Viana 2000 Bird et al. 2022
Beta-9253 charcoal; charbon de bois NA NA 2530±110 BP 2846–2345 cal BP Hoffman 1988 1998 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Erlandson et al. 1991; Lively 1996: 308,
  
}
@misc{Williamson 1990; Timmins 1985; L.J. Jackson p.c. 1998,
  
}
@misc{Moss and Erlandson 1998,
  
}
@misc{Oakes and Zamora 1999,
  
}
@misc{Miller Jornada Database,
  
}
@misc{Noonan 2002 (Table 2.1),
  
}
@misc{Melaney 1996 Gamble and Mattingly 2012,
  
}
@misc{Oliveira & Viana 2000,
  
}
@misc{Hoffman 1988 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":"Erlandson et al. 1991; Lively 1996: 308","bibtex_type":"misc"}{"bibtex_key":"Williamson 1990; Timmins 1985; L.J. Jackson p.c. 1998","bibtex_type":"misc"}{"bibtex_key":"Moss and Erlandson 1998","bibtex_type":"misc"}{"bibtex_key":"Oakes and Zamora 1999","bibtex_type":"misc"}{"bibtex_key":"Miller Jornada Database","bibtex_type":"misc"}{"bibtex_key":"Noonan 2002 (Table 2.1)","bibtex_type":"misc"}{"bibtex_key":"Melaney 1996 Gamble and Mattingly 2012","bibtex_type":"misc"}{"bibtex_key":"Oliveira & Viana 2000","bibtex_type":"misc"}{"bibtex_key":"Hoffman 1988 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: 'Erlandson et al. 1991; Lively 1996: 308'
:bibtex_type: :misc
---
:bibtex_key: Williamson 1990; Timmins 1985; L.J. Jackson p.c. 1998
:bibtex_type: :misc
---
:bibtex_key: Moss and Erlandson 1998
:bibtex_type: :misc
---
:bibtex_key: Oakes and Zamora 1999
:bibtex_type: :misc
---
:bibtex_key: Miller Jornada Database
:bibtex_type: :misc
---
:bibtex_key: Noonan 2002 (Table 2.1)
:bibtex_type: :misc
---
:bibtex_key: Melaney 1996 Gamble and Mattingly 2012
:bibtex_type: :misc
---
:bibtex_key: Oliveira & Viana 2000
:bibtex_type: :misc
---
:bibtex_key: Hoffman 1988 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