Site type

Location

Coordinates (degrees)
054.673° S, 067.883° W
Coordinates (DMS)
054° 40' 00" W, 067° 52' 00" S
Country (ISO 3166)
Argentina (AR)

radiocarbon date Radiocarbon dates (36)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AC-1028 charcoal NA NA 6020±120 BP Orquera 1987 Bird et al. 2022
AC-236 charcoal NA NA 5700±170 BP Orquera 1987 Bird et al. 2022
AC-238 charcoal NA NA 5690±170 BP Orquera 1987 Bird et al. 2022
AC-676 charcoal NA NA 5720±120 BP Orquera 1987 Bird et al. 2022
AC-677 charcoal NA NA 3030±100 BP Orquera 1987 Bird et al. 2022
AC-683 charcoal NA NA 5630±120 BP Orquera 1987 Bird et al. 2022
AC-702 charcoal NA NA 3530±90 BP Orquera 1987 Bird et al. 2022
AC-838 charcoal NA NA 5950±170 BP Orquera 1987 Bird et al. 2022
AC-1030 unknown NA NA 2660±100 BP Orquera & Piana 1999 Bird et al. 2022
AC-833 charcoal NA NA 4590±130 BP Orquera & Piana 1999 Bird et al. 2022
AC-852 unknown NA NA 2000±110 BP Orquera & Piana 1999 Bird et al. 2022
AC-854 unknown NA NA 2520±135 BP Orquera & Piana 1999 Bird et al. 2022
AC-856 unknown NA NA 2930±100 BP Orquera & Piana 1999 Bird et al. 2022
AC-1028 charcoal NA NA 6020±120 BP Orquera 1987 Bird et al. 2022
AC-236 charcoal NA NA 5700±170 BP Orquera 1987 Bird et al. 2022
AC-238 charcoal NA NA 5690±170 BP Orquera 1987 Bird et al. 2022
AC-674 charcoal NA NA 6680±210 BP Orquera & Piana 1999 Bird et al. 2022
AC-676 charcoal NA NA 5720±120 BP Orquera 1987 Bird et al. 2022
AC-677 charcoal NA NA 3030±100 BP Orquera 1987 Bird et al. 2022
AC-683 charcoal NA NA 5630±120 BP Orquera 1987 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Orquera 1987,
  
}
@misc{Orquera & Piana 1999,
  
}
@misc{C.  MIRET ESTRUCH  2016 Archivo de Prehistoria Levantina XXXI: 27-60,
  
}
@misc{Thoms et al 2015,
  
}
@misc{Goldberg_2016,
  
}
@misc{Muñoz 1965; Muñoz 1965; Muñoz 1972,
  
}
@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":"Orquera 1987","bibtex_type":"misc"}{"bibtex_key":"Orquera & Piana 1999","bibtex_type":"misc"}{"bibtex_key":"C.  MIRET ESTRUCH  2016 Archivo de Prehistoria Levantina XXXI: 27-60","bibtex_type":"misc"}{"bibtex_key":"Thoms et al 2015","bibtex_type":"misc"}{"bibtex_key":"Goldberg_2016","bibtex_type":"misc"}{"bibtex_key":"Muñoz 1965; Muñoz 1965; Muñoz 1972","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: Orquera 1987
:bibtex_type: :misc
---
:bibtex_key: Orquera & Piana 1999
:bibtex_type: :misc
---
:bibtex_key: 'C.  MIRET ESTRUCH  2016 Archivo de Prehistoria Levantina XXXI: 27-60'
:bibtex_type: :misc
---
:bibtex_key: Thoms et al 2015
:bibtex_type: :misc
---
:bibtex_key: Goldberg_2016
:bibtex_type: :misc
---
:bibtex_key: Muñoz 1965; Muñoz 1965; Muñoz 1972
: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