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-79702 FECES Homo sapiens AMS 5595±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-79703 FECES Homo sapiens coprolite sol. urine AMS 5655±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-79706 FECES Homo sapiens coprolite macro AMS 12165±25 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-79707 FECES Homo sapiens coprolite sol. urine AMS 12050±25 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-79708 FECES Homo sapiens AMS 5545±20 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-79709 FECES Homo sapiens AMS 6155±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-79710 FECES Homo sapiens AMS 4950±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-79715 FECES Homo sapiens AMS 5380±15 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-85336 TEXTILE Szz sagebrush bark cordage AMS 10250±25 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-87421 TEXTILE Szz sagebrush bark cordage AMS 10070±30 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-90581 FECES Homo sapiens coprolite macro AMS 11340±30 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-90582 FECES Homo sapiens coprolite water sol. AMS 11505±30 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-90583 FECES Homo sapiens coprolite macro AMS 11205±25 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-90584 FECES Homo sapiens coprolite water sol. AMS 11250±25 BP Jenkins et al. 2013 Bird et al. 2022
UCIAMS-98932 CHARCOAL Unident. macroflora in sed. AMS 10855±30 BP Jenkins et al. 2013 Bird et al. 2022
UGAMS-26418 FECES Homo sapiens AMS 10833±59 BP Blong et al. 2020- Younger Dryas and early Holocene subsistence… 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