Site type

Location

200 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)
031.457° N, 105.387° W
Coordinates (DMS)
031° 27' 00" W, 105° 23' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (22)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-17667 CHARCOAL NA AMS 640±100 BP 770–494 cal BP UWyo2021 Bird et al. 2022
Beta-17668 CHARCOAL NA RADIOMETRIC 860±60 BP 909–679 cal BP Miller Jornada Database Bird et al. 2022
Beta-17669 CHARCOAL NA RADIOMETRIC 980±70 BP 1053–731 cal BP Miller Jornada Database Bird et al. 2022
Beta-17670 CHARCOAL NA RADIOMETRIC 1040±80 BP 1175–746 cal BP Miller Jornada Database Bird et al. 2022
Beta-17671 CHARCOAL NA RADIOMETRIC 1310±100 BP 1380–976 cal BP Miller Jornada Database Bird et al. 2022
Beta-17672 CHARCOAL NA RADIOMETRIC 1270±100 BP 1344–960 cal BP Miller Jornada Database Bird et al. 2022
Beta-17673 CHARCOAL NA RADIOMETRIC 960±90 BP 1055–687 cal BP Miller Jornada Database Bird et al. 2022
Beta-17674 CHARCOAL NA RADIOMETRIC 1050±100 BP 1178–735 cal BP Miller Jornada Database Bird et al. 2022
Beta-17675 CHARCOAL NA RADIOMETRIC 2500±110 BP 2840–2335 cal BP Miller Jornada Database Bird et al. 2022
Beta-17676 CHARCOAL NA RADIOMETRIC 900±90 BP 956–675 cal BP Miller Jornada Database Bird et al. 2022
Beta-17677 CHARCOAL NA RADIOMETRIC 830±90 BP 926–570 cal BP Miller Jornada Database Bird et al. 2022
Beta-17678 CHARCOAL NA RADIOMETRIC 970±110 BP 1173–675 cal BP Miller Jornada Database Bird et al. 2022
Beta-17679 CHARCOAL NA RADIOMETRIC 750±110 BP 909–542 cal BP Miller Jornada Database Bird et al. 2022
Beta-17680 CHARCOAL NA RADIOMETRIC 1690±90 BP 1816–1375 cal BP Miller Jornada Database Bird et al. 2022
Beta-17681 CHARCOAL NA RADIOMETRIC 630±70 BP 678–525 cal BP Miller Jornada Database Bird et al. 2022
Beta-220840 CHARCOAL Saltbush-type wood NA 1150±40 BP 1180–958 cal BP Jones 2009; Railey 2016- Permian Basin Research Design 2016-2026 Bird et al. 2022
Beta-220841 CHARCOAL Grass (prob. intrusive) NA 160±40 BP 288–55 cal BP Jones 2009; Railey 2016- Permian Basin Research Design 2016-2026 Bird et al. 2022
Beta-220842 CHARCOAL Woody legume NA 1320±40 BP 1300–1176 cal BP Jones 2009; Railey 2016- Permian Basin Research Design 2016-2026 Bird et al. 2022
Beta-220843 CHARCOAL Prosopis NA 1320±40 BP 1300–1176 cal BP Jones 2009; Railey 2016- Permian Basin Research Design 2016-2026 Bird et al. 2022
Beta-220844 CHARCOAL Indeterm. Wood NA 3310±40 BP 3636–3450 cal BP Jones 2009; Railey 2016- Permian Basin Research Design 2016-2026 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [UWyo2021]
  • No bibliographic information available. [Miller Jornada Database]
  • No bibliographic information available. [Jones 2009; Railey 2016- Permian Basin Research Design 2016-2026]
  • Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c] 
@misc{UWyo2021,
  
}
@misc{Miller Jornada Database,
  
}
@misc{Jones 2009; Railey 2016- Permian Basin Research Design 2016-2026,
  
}
@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":"UWyo2021","bibtex_type":"misc"}{"bibtex_key":"Miller Jornada Database","bibtex_type":"misc"}{"bibtex_key":"Jones 2009; Railey 2016- Permian Basin Research Design 2016-2026","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: UWyo2021
:bibtex_type: :misc
---
:bibtex_key: Miller Jornada Database
:bibtex_type: :misc
---
:bibtex_key: Jones 2009; Railey 2016- Permian Basin Research Design 2016-2026
: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