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)
043.064° N, 118.968° W
Coordinates (DMS)
043° 03' 00" W, 118° 58' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (28)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-106452 TEXTILE cordage AMS 631±24 BP 654–554 cal BP U of O 2015 Bird et al. 2022
AA-106453 TEXTILE Twining AMS 2253±29 BP 2340–2156 cal BP U of O 2015 Bird et al. 2022
AA-106454 TEXTILE Cordage AMS 1308±25 BP 1290–1164 cal BP U of O 2015 Bird et al. 2022
AA-106455 TEXTILE Cordage AMS 1047±25 BP 1049–918 cal BP U of O 2015 Bird et al. 2022
AA-187289 TEXTILE Plaiting AMS 1798±20 BP 1730–1625 cal BP U of O 2016 Bird et al. 2022
AA-30057 TEXTILE Twining AMS 1030±45 BP 1057–795 cal BP Cressman 1942: Figure 84a; U of O 2007 Bird et al. 2022
AA-30058 TEXTILE Twining AMS 2493±46 BP 2728–2370 cal BP Cressman 1942: Figure 87c; U of O 2007 Bird et al. 2022
AA-30059 TEXTILE Twining AMS 1295±44 BP 1299–1122 cal BP Cressman 1942: Figures 19a and 84b Bird et al. 2022
AA-61370 TEXTILE Sandal AMS 8065±50 BP 9125–8728 cal BP U of O 2007 Bird et al. 2022
AA-66193 TEXTILE NA AMS 2471±51 BP 2720–2365 cal BP Connolly 2013 Bird et al. 2022
AA-66194 TEXTILE NA AMS 1297±42 BP 1298–1125 cal BP Connolly 2013 Bird et al. 2022
AA-74223 TEXTILE Twining AMS 1014±32 BP 970–797 cal BP U of O 2007 Bird et al. 2022
AA-74224 TEXTILE Twining AMS 443±33 BP 536–340 cal BP U of O 2007 Bird et al. 2022
AA-74225 TEXTILE Sandal AMS 1275±34 BP 1289–1123 cal BP U of O 2007 Bird et al. 2022
AA-74226 TEXTILE Twining AMS 1041±38 BP 1058–802 cal BP U of O 2007 Bird et al. 2022
AA-99759 TEXTILE Twining AMS 2437±40 BP 2701–2355 cal BP U of O 2012 Bird et al. 2022
Beta-147427 TEXTILE Plant tule artifact NA 1620±40 BP 1586–1397 cal BP ConnollyBarker2004 Connollyet al.1998 ConnollyFowler and Cannon1988 Bird et al. 2022
Beta-147428 TEXTILE Plant sagebrush sandal NA 3110±50 BP 3446–3183 cal BP ConnollyBarker2004 Connollyet al.1998 ConnollyFowler and Cannon1988 Bird et al. 2022
Beta-249764 TEXTILE Sandal NA 320±40 BP 475–301 cal BP U of O 2008 Bird et al. 2022
Beta-249773 TEXTILE Twining NA 1110±40 BP 1174–928 cal BP U of O 2008 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{U of O 2015,
  
}
@misc{U of O 2016,
  
}
@misc{Cressman 1942: Figure 84a; U of O 2007,
  
}
@misc{Cressman 1942: Figure 87c; U of O 2007,
  
}
@misc{Cressman 1942: Figures 19a and 84b,
  
}
@misc{U of O 2007,
  
}
@misc{Connolly 2013,
  
}
@misc{U of O 2012,
  
}
@misc{ConnollyBarker2004 Connollyet al.1998 ConnollyFowler and Cannon1988,
  
}
@misc{U of O 2008,
  
}
@misc{Drooker et al. 2000 Table 7.1,
  
}
@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":"U of O 2015","bibtex_type":"misc"}{"bibtex_key":"U of O 2016","bibtex_type":"misc"}{"bibtex_key":"Cressman 1942: Figure 84a; U of O 2007","bibtex_type":"misc"}{"bibtex_key":"Cressman 1942: Figure 87c; U of O 2007","bibtex_type":"misc"}{"bibtex_key":"Cressman 1942: Figures 19a and 84b","bibtex_type":"misc"}{"bibtex_key":"U of O 2007","bibtex_type":"misc"}{"bibtex_key":"Connolly 2013","bibtex_type":"misc"}{"bibtex_key":"U of O 2012","bibtex_type":"misc"}{"bibtex_key":"ConnollyBarker2004 Connollyet al.1998 ConnollyFowler and Cannon1988","bibtex_type":"misc"}{"bibtex_key":"U of O 2008","bibtex_type":"misc"}{"bibtex_key":"Drooker et al. 2000 Table 7.1","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: U of O 2015
:bibtex_type: :misc
---
:bibtex_key: U of O 2016
:bibtex_type: :misc
---
:bibtex_key: 'Cressman 1942: Figure 84a; U of O 2007'
:bibtex_type: :misc
---
:bibtex_key: 'Cressman 1942: Figure 87c; U of O 2007'
:bibtex_type: :misc
---
:bibtex_key: 'Cressman 1942: Figures 19a and 84b'
:bibtex_type: :misc
---
:bibtex_key: U of O 2007
:bibtex_type: :misc
---
:bibtex_key: Connolly 2013
:bibtex_type: :misc
---
:bibtex_key: U of O 2012
:bibtex_type: :misc
---
:bibtex_key: ConnollyBarker2004 Connollyet al.1998 ConnollyFowler and Cannon1988
:bibtex_type: :misc
---
:bibtex_key: U of O 2008
:bibtex_type: :misc
---
:bibtex_key: Drooker et al. 2000 Table 7.1
: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