Site type

Location

100 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)
039.442° N, 114.902° W
Coordinates (DMS)
039° 26' 00" W, 114° 54' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-34777 TEXTILE Lovelock wickerware fragment AMS 900±45 BP 915–728 cal BP Hattori 1982 pg. 83:Figure 29.e; Unpublished date UNR 1999 Bird et al. 2022
AA-34778 TEXTILE Basketry S-twist weft AMS 3890±55 BP 4506–4151 cal BP Unpublished date UNR 1999 Bird et al. 2022
Beta-449383 TEXTILE Twining NA 3700±30 BP 4146–3931 cal BP NSM 2016; Hattori 1982 Bird et al. 2022
Beta-449385 TEXTILE NA NA 2110±30 BP 2285–1996 cal BP NSM 2016 Bird et al. 2022
UCR-3868 TEXTILE basketry RADIOMETRIC 970±40 BP 956–786 cal BP Hattori 1982 Bird et al. 2022
UCR-3869 TEXTILE basketry RADIOMETRIC 7980±30 BP 8993–8658 cal BP Hattori 1982 Bird et al. 2022
UCR-3968 TEXTILE Coiling RADIOMETRIC 970±40 BP 956–786 cal BP Hattori 1982 pg. 82:Figure 28. c and d Bird et al. 2022
UCR-3969 TEXTILE Small 3 rod coiled basket with handle AMS 3830±30 BP 4400–4098 cal BP Hattori 1982 pg. 82:Figure 28.e and f; Jolie 2004; Jolie and Hattori 2005 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Hattori 1982 pg. 83:Figure 29.e; Unpublished date UNR 1999,
  
}
@misc{Unpublished date UNR 1999,
  
}
@misc{NSM 2016; Hattori 1982,
  
}
@misc{NSM 2016,
  
}
@misc{Hattori 1982,
  
}
@misc{Hattori 1982 pg. 82:Figure 28. c and d,
  
}
@misc{Hattori 1982 pg. 82:Figure 28.e and f; Jolie 2004; Jolie and Hattori 2005,
  
}
@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":"Hattori 1982 pg. 83:Figure 29.e; Unpublished date UNR 1999","bibtex_type":"misc"}{"bibtex_key":"Unpublished date UNR 1999","bibtex_type":"misc"}{"bibtex_key":"NSM 2016; Hattori 1982","bibtex_type":"misc"}{"bibtex_key":"NSM 2016","bibtex_type":"misc"}{"bibtex_key":"Hattori 1982","bibtex_type":"misc"}{"bibtex_key":"Hattori 1982 pg. 82:Figure 28. c and d","bibtex_type":"misc"}{"bibtex_key":"Hattori 1982 pg. 82:Figure 28.e and f; Jolie 2004; Jolie and Hattori 2005","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: Hattori 1982 pg. 83:Figure 29.e; Unpublished date UNR 1999
:bibtex_type: :misc
---
:bibtex_key: Unpublished date UNR 1999
:bibtex_type: :misc
---
:bibtex_key: NSM 2016; Hattori 1982
:bibtex_type: :misc
---
:bibtex_key: NSM 2016
:bibtex_type: :misc
---
:bibtex_key: Hattori 1982
:bibtex_type: :misc
---
:bibtex_key: Hattori 1982 pg. 82:Figure 28. c and d
:bibtex_type: :misc
---
:bibtex_key: Hattori 1982 pg. 82:Figure 28.e and f; Jolie 2004; Jolie and Hattori
  2005
: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