Site type

Location

100 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)
038.359° S, 073.924° W
Coordinates (DMS)
038° 21' 00" W, 073° 55' 00" S
Country (ISO 3166)
Chile (CL)

radiocarbon date Radiocarbon dates (15)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-89421 Charcoal NA NA 408±37 BP 521–320 cal BP Roth and McBrinn 2016 Bird et al. 2022
AA-89422 Charcoal NA NA 519±37 BP 627–501 cal BP Spangler 2000 Bird et al. 2022
AA-89423 Charcoal NA NA 334±34 BP 475–309 cal BP Spangler 2000 Bird et al. 2022
AA-89424 Charcoal NA NA 826±27 BP 775–681 cal BP Campbell & Quiroz 2015 Bird et al. 2022
Beta-57811 Charcoal NA NA 500±50 BP 640–471 cal BP Lyman 2001; Moss and Erlandson 1998 Bird et al. 2022
Beta-95085 Charcoal NA NA 510±60 BP 649–344 cal BP Campbell & Quiroz 2015 Bird et al. 2022
Beta-95086 Charcoal NA NA 700±50 BP 725–555 cal BP Maslowski p.c. 2000 Bird et al. 2022
Gd-5901 Charcoal NA NA 560±40 BP 645–517 cal BP Campbell & Quiroz 2015 Bird et al. 2022
Gd-5902 Charcoal NA NA 710±50 BP 728–556 cal BP Gumiński 1999 Bird et al. 2022
Gd-6428 Charcoal NA NA 840±70 BP 911–670 cal BP Campbell & Quiroz 2015 Bird et al. 2022
Gd-6429 Charcoal NA NA 530±80 BP 668–333 cal BP Campbell & Quiroz 2015 Bird et al. 2022
Gd-6431 Charcoal NA NA 640±90 BP 725–512 cal BP Gayo_CentralChile Bird et al. 2022
Gd-7144 Charcoal NA NA 530±60 BP 652–490 cal BP Ziolkowski et al 1994 Bird et al. 2022
Gd-7152 Charcoal NA NA 450±50 BP 551–325 cal BP Horst 1990 169-178 Bird et al. 2022
Gd-7174 Charcoal NA NA 500±40 BP 623–493 cal BP Gayo_CentralChile Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Roth and McBrinn 2016,
  
}
@misc{Spangler 2000,
  
}
@misc{Campbell & Quiroz 2015,
  
}
@misc{Lyman 2001; Moss and Erlandson 1998,
  
}
@misc{Maslowski p.c. 2000,
  
}
@misc{Gumiński 1999,
  
}
@misc{Gayo_CentralChile,
  
}
@misc{Ziolkowski et al 1994,
  
}
@misc{Horst 1990 169-178,
  
}
@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":"Roth and McBrinn 2016","bibtex_type":"misc"}{"bibtex_key":"Spangler 2000","bibtex_type":"misc"}{"bibtex_key":"Campbell & Quiroz 2015","bibtex_type":"misc"}{"bibtex_key":"Lyman 2001; Moss and Erlandson 1998","bibtex_type":"misc"}{"bibtex_key":"Maslowski p.c. 2000","bibtex_type":"misc"}{"bibtex_key":"Gumiński 1999","bibtex_type":"misc"}{"bibtex_key":"Gayo_CentralChile","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"Horst 1990 169-178","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: Roth and McBrinn 2016
:bibtex_type: :misc
---
:bibtex_key: Spangler 2000
:bibtex_type: :misc
---
:bibtex_key: Campbell & Quiroz 2015
:bibtex_type: :misc
---
:bibtex_key: Lyman 2001; Moss and Erlandson 1998
:bibtex_type: :misc
---
:bibtex_key: Maslowski p.c. 2000
:bibtex_type: :misc
---
:bibtex_key: Gumiński 1999
:bibtex_type: :misc
---
:bibtex_key: Gayo_CentralChile
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: Horst 1990 169-178
: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