Site type

Location

Coordinates (degrees)
042.793° N, 120.388° W
Coordinates (DMS)
042° 47' 00" W, 120° 23' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (56)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
UCIAMS-115899 FECES Homo sapiens AMS 10995±30 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-115900 FECES Homo sapiens AMS 10925±35 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-115901 FECES Homo sapiens AMS 10860±50 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-68017 BONE Saw-tooth bear bone artifact AMS 12195±30 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-68020 WOOD Willow dart shaft butt AMS 10030±25 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-75104 TEXTILE z-spun sagebrush strands AMS 9625±20 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-76180 FECES Homo sapiens AMS 6970±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-76181 FECES Homo sapiens AMS 9585±20 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-76182 FECES Homo sapiens AMS 5750±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-76183 FECES Homo sapiens AMS 9170±20 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-76184 FECES Homo sapiens AMS 5740±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-76185 FECES Homo sapiens AMS 6115±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-76186 FECES Homo sapiens AMS 5715±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-76187 FECES Homo sapiens AMS 5770±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-76190 FECES Homo sapiens AMS 12265±25 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-77099 FECES Homo sapiens coprolite water sol. AMS 12260±30 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-77102 FECES Homo sapiens AMS 11190±30 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-79673 FECES Homo sapiens AMS 7260±30 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-79678 TEXTILE Grass thread AMS 10030±90 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-79679 TEXTILE Fabric AMS 275±25 BP Jenkins et al. 2013 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Connelly et al. 2016 Table 1; Jenkins et al. 2013 Jenkins2005 Jenkins2007 Jenkinset al.2004,
  
}
@misc{Jenkinset al.2004 Jenkins2007 Jenkins2005,
  
}
@misc{Looseet al.2008,
  
}
@misc{Jenkins et al. 2013,
  
}
@misc{Jenkinset al.2004 Jenkins2005 Jenkins2007 Looseet al.2008,
  
}
@misc{Jenkinset al.2004 Jenkins2005 Jenkins2007 Looseet al.2011,
  
}
@misc{Jenkinset al.2004 Jenkins2005 Jenkins2007 Looseet al.2012,
  
}
@misc{Blong et al. 2020- Younger Dryas and early Holocene subsistence…,
  
}
@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":"Connelly et al. 2016 Table 1; Jenkins et al. 2013 Jenkins2005 Jenkins2007 Jenkinset al.2004","bibtex_type":"misc"}{"bibtex_key":"Jenkinset al.2004 Jenkins2007 Jenkins2005","bibtex_type":"misc"}{"bibtex_key":"Looseet al.2008","bibtex_type":"misc"}{"bibtex_key":"Jenkins et al. 2013","bibtex_type":"misc"}{"bibtex_key":"Jenkinset al.2004 Jenkins2005 Jenkins2007 Looseet al.2008","bibtex_type":"misc"}{"bibtex_key":"Jenkinset al.2004 Jenkins2005 Jenkins2007 Looseet al.2011","bibtex_type":"misc"}{"bibtex_key":"Jenkinset al.2004 Jenkins2005 Jenkins2007 Looseet al.2012","bibtex_type":"misc"}{"bibtex_key":"Blong et al. 2020- Younger Dryas and early Holocene subsistence…","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: Connelly et al. 2016 Table 1; Jenkins et al. 2013 Jenkins2005 Jenkins2007
  Jenkinset al.2004
:bibtex_type: :misc
---
:bibtex_key: Jenkinset al.2004 Jenkins2007 Jenkins2005
:bibtex_type: :misc
---
:bibtex_key: Looseet al.2008
:bibtex_type: :misc
---
:bibtex_key: Jenkins et al. 2013
:bibtex_type: :misc
---
:bibtex_key: Jenkinset al.2004 Jenkins2005 Jenkins2007 Looseet al.2008
:bibtex_type: :misc
---
:bibtex_key: Jenkinset al.2004 Jenkins2005 Jenkins2007 Looseet al.2011
:bibtex_type: :misc
---
:bibtex_key: Jenkinset al.2004 Jenkins2005 Jenkins2007 Looseet al.2012
:bibtex_type: :misc
---
:bibtex_key: Blong et al. 2020- Younger Dryas and early Holocene subsistence…
: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