Site type

Location

Coordinates (degrees)
041.521° N, 113.082° W
Coordinates (DMS)
041° 31' 00" W, 113° 04' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (71)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
UCIAMS-143675 BONE NA AMS 760±25 BP Yanicki and Ives 2017-Mobility exchange and the fluency of games Bird et al. 2022
UCIAMS-143676 BONE NA AMS 760±20 BP Yanicki and Ives 2017-Mobility exchange and the fluency of games Bird et al. 2022
Beta-286893 POTTERYRESIDUE NA NA 610±40 BP Ives et al. 2014 Bird et al. 2022
Beta-286892 POTTERYRESIDUE NA NA 360±40 BP Ives et al. 2014 Bird et al. 2022
OxA-25181 LEATHER Bison moccasin NA 670±25 BP Billnger and Ives 2015 Inferring Demographic strcuture with Moccasin Size… Bird et al. 2022
OxA-25183 LEATHER Bison moccasin NA 706±25 BP Billnger and Ives 2015 Inferring Demographic strcuture with Moccasin Size… Bird et al. 2022
OxA-26097 LEATHER Bison moccasin NA 741±23 BP Billnger and Ives 2015 Inferring Demographic strcuture with Moccasin Size… Bird et al. 2022
OxA-26098 LEATHER Bison moccasin NA 777±22 BP Billnger and Ives 2015 Inferring Demographic strcuture with Moccasin Size… Bird et al. 2022
OxA-28319 LEATHER Bison moccasin NA 703±23 BP Billnger and Ives 2015 Inferring Demographic strcuture with Moccasin Size… Bird et al. 2022
OxA-28321 LEATHER Bison moccasin NA 700±23 BP Billnger and Ives 2015 Inferring Demographic strcuture with Moccasin Size… Bird et al. 2022
OxA-28316 LEATHER Bison moccasin NA 708±24 BP Billnger and Ives 2015 Inferring Demographic strcuture with Moccasin Size… Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Ives et al. 2014,
  
}
@misc{Janetski and Smith 2007,
  
}
@misc{Billnger and Ives 2015 Inferring Demographic strcuture with Moccasin Size…,
  
}
@misc{David Madsen pers. com. 2020,
  
}
@misc{Yanicki and Ives 2017-Mobility exchange and the fluency of games,
  
}
@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":"Ives et al. 2014","bibtex_type":"misc"}{"bibtex_key":"Janetski and Smith 2007","bibtex_type":"misc"}{"bibtex_key":"Billnger and Ives 2015 Inferring Demographic strcuture with Moccasin Size…","bibtex_type":"misc"}{"bibtex_key":"David Madsen pers. com. 2020","bibtex_type":"misc"}{"bibtex_key":"Yanicki and Ives 2017-Mobility exchange and the fluency of games","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: Ives et al. 2014
:bibtex_type: :misc
---
:bibtex_key: Janetski and Smith 2007
:bibtex_type: :misc
---
:bibtex_key: Billnger and Ives 2015 Inferring Demographic strcuture with Moccasin
  Size…
:bibtex_type: :misc
---
:bibtex_key: David Madsen pers. com. 2020
:bibtex_type: :misc
---
:bibtex_key: Yanicki and Ives 2017-Mobility exchange and the fluency of games
: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