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)
027.761° N, 099.332° W
Coordinates (DMS)
027° 45' 00" W, 099° 19' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (19)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-106325 CHARCOAL NA AMS 3240±50 BP 3565–3370 cal BP Quigg et al 2000 Bird et al. 2022
Beta-106326 CHARCOAL NA AMS 2060±80 BP 2305–1821 cal BP Quigg et al 2000 Bird et al. 2022
Beta-106327 CHARCOAL NA AMS 2130±40 BP 2300–1994 cal BP Quigg et al 2000 Bird et al. 2022
Beta-121727 CHARCOAL organic residue from burned sandstone AMS 2120±40 BP 2299–1950 cal BP Quigg et al 2000 Bird et al. 2022
Beta-121728 CHARCOAL organic residue from burned sandstone AMS 2470±50 BP 2719–2365 cal BP Quigg et al 2000 Bird et al. 2022
Beta-121729 CHARCOAL huisache AMS 2130±40 BP 2300–1994 cal BP Quigg et al 2000 Bird et al. 2022
Beta-121730 CHARCOAL Hackberry AMS 1950±50 BP 1990–1743 cal BP Quigg et al 2000 Bird et al. 2022
Beta-121861 CHARCOAL Prosopis AMS 3460±40 BP 3835–3590 cal BP Quigg et al 2000 Bird et al. 2022
Beta-121862 CHARCOAL organic residue from burned sandstone AMS 4920±50 BP 5844–5581 cal BP Quigg et al 2000 Bird et al. 2022
Beta-121863 CHARCOAL NA AMS 2740±50 BP 2945–2756 cal BP Quigg et al 2000 Bird et al. 2022
Beta-122719 SHELL Rabdotus (CF-214) snail AMS 2040±50 BP 2120–1839 cal BP Quigg et al 2000 Bird et al. 2022
Beta-122720 SHELL Rabdotus (CF-215) snail AMS 1740±40 BP 1708–1545 cal BP Quigg et al 2000 Bird et al. 2022
Beta-124388 CHARCOAL organic residue from burned sandstone AMS 3190±50 BP 3550–3257 cal BP Quigg et al 2000 Bird et al. 2022
Beta-124389 CHARCOAL organic residue from burned sandstone AMS 2290±60 BP 2463–2124 cal BP Quigg et al 2000 Bird et al. 2022
Beta-124390 CHARCOAL Prosopis AMS 900±50 BP 920–699 cal BP Quigg et al 2000 Bird et al. 2022
Beta-124391 CHARCOAL huisache AMS 3060±60 BP 3392–3075 cal BP Quigg et al 2000 Bird et al. 2022
Ly-1034 shell NA NA 6010±280 BP 7431–6283 cal BP Ziolkowski et al 1994 Bird et al. 2022
Ly-1035 charcoal NA NA 7750±160 BP 9000–8208 cal BP Ziolkowski M. S. Pazdur M. Krzanowski A. Michczynski A. (1994). Andes radiocarbon database for Bolivia Ecuador and Peru. Varsovia-Gliwice Andean archaeological mission of the Institute of Archaeology/Warsaw University Gliwice Radiocarbon Laboratory of the Institute of Physics Silesian Technical University. Bird et al. 2022
Ly-1036 charcoal NA NA 8560±170 BP 10147–9134 cal BP Ziolkowski M. S. Pazdur M. Krzanowski A. Michczynski A. (1994). Andes radiocarbon database for Bolivia Ecuador and Peru. Varsovia-Gliwice Andean archaeological mission of the Institute of Archaeology/Warsaw University Gliwice Radiocarbon Laboratory of the Institute of Physics Silesian Technical University. Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Quigg et al 2000,
  
}
@misc{Ziolkowski et al 1994,
  
}
@misc{Ziolkowski M. S. Pazdur M. Krzanowski A. Michczynski A. (1994). Andes radiocarbon database for Bolivia Ecuador and Peru. Varsovia-Gliwice Andean archaeological mission of the Institute of Archaeology/Warsaw University Gliwice Radiocarbon Laboratory of the Institute of Physics Silesian Technical University.,
  
}
@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":"Quigg et al 2000","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski M. S. Pazdur M. Krzanowski A. Michczynski A. (1994). Andes radiocarbon database for Bolivia Ecuador and Peru. Varsovia-Gliwice Andean archaeological mission of the Institute of Archaeology/Warsaw University Gliwice Radiocarbon Laboratory of the Institute of Physics Silesian Technical University.","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: Quigg et al 2000
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski M. S. Pazdur M. Krzanowski A. Michczynski A. (1994). Andes
  radiocarbon database for Bolivia Ecuador and Peru. Varsovia-Gliwice Andean archaeological
  mission of the Institute of Archaeology/Warsaw University Gliwice Radiocarbon Laboratory
  of the Institute of Physics Silesian Technical University.
: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