Site type

Location

Coordinates (degrees)
020.997° S, 069.311° W
Coordinates (DMS)
020° 59' 00" W, 069° 18' 00" S
Country (ISO 3166)
Chile (CL)

radiocarbon date Radiocarbon dates (13)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-35463 NA Charcoal & organic material NA NA 2555±45 BP 2756–2493 cal BP Rivera 2001 Bird et al. 2022
AA-39924 NA Plant material NA NA 2435±63 BP 2710–2350 cal BP Rivera 2001 Bird et al. 2022
AA-39925 NA Plant material NA NA 2285±43 BP 2356–2152 cal BP Rivera 2001 Bird et al. 2022
AA-53448 NA Plant material NA NA 2278±46 BP 2355–2150 cal BP Rivera 2001 Bird et al. 2022
Beta-48822 NA algarrobo NA NA 2040±50 BP 2120–1839 cal BP CREASMAN & HOEFER 1992 Bird et al. 2022
Beta-50834 NA Charcoal NA NA 2320±60 BP 2685–2148 cal BP Honeycutt and Fetterman 1994:10-3 10-9 Bird et al. 2022
GX-19200 NA algarrobo seed NA NA 2297±73 BP 2694–2102 cal BP Graffam et al 1996 Bird et al. 2022
GX-19201 NA Charcoal NA NA 2480±100 BP 2753–2345 cal BP Graffam et al 1996 Bird et al. 2022
GX-19202 NA algarrobo NA NA 2735±255 BP 3459–2157 cal BP Dincauze 1971 1977 Bird et al. 2022
GX-21725 NA Maize NA NA 2210±55 BP 2343–2060 cal BP Linseele V. 2007 Bird et al. 2022
TO-3573 NA algarrobo NA NA 2040±50 BP 2120–1839 cal BP Gayo et al 2015 Bird et al. 2022
TO-4810 NA algarrobo seed NA NA 2060±60 BP 2293–1835 cal BP R. McNeely p.c. 1998; Faunmap 3715 Bird et al. 2022
To-3573 NA plant NA NA 2040±50 BP 2120–1839 cal BP Meiklejohn Portugal Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Meiklejohn Portugal,
  
}
@misc{Rivera 2001,
  
}
@misc{Gayo et al 2015,
  
}
@misc{Linseele V. 2007,
  
}
@misc{CREASMAN & HOEFER 1992,
  
}
@misc{Honeycutt and Fetterman 1994:10-3 10-9,
  
}
@misc{Dincauze 1971 1977,
  
}
@misc{Graffam et al 1996,
  
}
@misc{R. McNeely p.c. 1998; Faunmap 3715,
  
}
@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":"Meiklejohn Portugal","bibtex_type":"misc"}{"bibtex_key":"Rivera 2001","bibtex_type":"misc"}{"bibtex_key":"Gayo et al 2015","bibtex_type":"misc"}{"bibtex_key":"Linseele V. 2007","bibtex_type":"misc"}{"bibtex_key":"CREASMAN & HOEFER 1992","bibtex_type":"misc"}{"bibtex_key":"Honeycutt and Fetterman 1994:10-3 10-9","bibtex_type":"misc"}{"bibtex_key":"Dincauze 1971 1977","bibtex_type":"misc"}{"bibtex_key":"Graffam et al 1996","bibtex_type":"misc"}{"bibtex_key":"R. McNeely p.c. 1998; Faunmap 3715","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: Meiklejohn Portugal
:bibtex_type: :misc
---
:bibtex_key: Rivera 2001
:bibtex_type: :misc
---
:bibtex_key: Gayo et al 2015
:bibtex_type: :misc
---
:bibtex_key: Linseele V. 2007
:bibtex_type: :misc
---
:bibtex_key: CREASMAN & HOEFER 1992
:bibtex_type: :misc
---
:bibtex_key: Honeycutt and Fetterman 1994:10-3 10-9
:bibtex_type: :misc
---
:bibtex_key: Dincauze 1971 1977
:bibtex_type: :misc
---
:bibtex_key: Graffam et al 1996
:bibtex_type: :misc
---
:bibtex_key: R. McNeely p.c. 1998; Faunmap 3715
: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