Site type

Location

Coordinates (degrees)
038.583° S, 070.667° W
Coordinates (DMS)
038° 34' 00" W, 070° 39' 00" S
Country (ISO 3166)
Argentina (AR)

radiocarbon date Radiocarbon dates (33)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AC-231 charcoal NA NA 5050±100 BP Orquera 1987 Bird et al. 2022
AC-232 charcoal NA NA 5525±110 BP Orquera 1987 Bird et al. 2022
AC-232 charcoal NA NA 5525±110 BP Orquera 1987 Bird et al. 2022
AC-896 charcoal NA NA 2350±150 BP Fernandez & Panarello 2001 Bird et al. 2022
AC-899 charcoal NA NA 2290±120 BP Fernandez & Panarello 2001 Bird et al. 2022
AC-900 charcoal NA NA 2130±110 BP Fernandez & Panarello 2001 Bird et al. 2022
AC-901 charcoal NA NA 2440±100 BP Fernandez & Panarello 2001 Bird et al. 2022
TO-8525 bone NA NA 2170±70 BP Fernandez & Panarello 2001 Bird et al. 2022
TO-8526 bone NA NA 5410±130 BP Fernandez & Panarello 2001 Bird et al. 2022
TO-8528 bone NA NA 5410±110 BP Fernandez & Panarello 2001 Bird et al. 2022
TO-8529 bone NA NA 3930±70 BP Savelle and Dyke 2002 Bird et al. 2022
TO-8989 bone NA NA 5470±60 BP Fernandez & Panarello 2001 Bird et al. 2022
TO-8990 bone NA NA 5650±70 BP Ferris 1988; Cooper and Savage 1994; Lovis and Robertson 1989; Ellis Kenyon and Spence 1990; Thomas 1986; Faunmap 3636 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Fernandez & Panarello 2001,
  
}
@misc{Orquera 1987,
  
}
@misc{Savelle and Dyke 2002,
  
}
@misc{Ferris 1988; Cooper and Savage 1994; Lovis and Robertson 1989; Ellis Kenyon and Spence 1990; Thomas 1986; Faunmap 3636,
  
}
@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":"Fernandez & Panarello 2001","bibtex_type":"misc"}{"bibtex_key":"Orquera 1987","bibtex_type":"misc"}{"bibtex_key":"Savelle and Dyke 2002","bibtex_type":"misc"}{"bibtex_key":"Ferris 1988; Cooper and Savage 1994; Lovis and Robertson 1989; Ellis Kenyon and Spence 1990; Thomas 1986; Faunmap 3636","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: Fernandez & Panarello 2001
:bibtex_type: :misc
---
:bibtex_key: Orquera 1987
:bibtex_type: :misc
---
:bibtex_key: Savelle and Dyke 2002
:bibtex_type: :misc
---
:bibtex_key: Ferris 1988; Cooper and Savage 1994; Lovis and Robertson 1989; Ellis
  Kenyon and Spence 1990; Thomas 1986; Faunmap 3636
: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