Site type

Location

Coordinates (degrees)
018.481° S, 070.322° W
Coordinates (DMS)
018° 28' 00" W, 070° 19' 00" S
Country (ISO 3166)
Chile (CL)

radiocarbon date Radiocarbon dates (28)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
B-40956 soft tissue NA NA 2570±90 BP Arriaza et al 2005 Bird et al. 2022
Beta-189248 Human bone Homo sapiens NA 3830±40 BP Santoro 2004 Bird et al. 2022
Beta-40956 Wood NA NA 4520±90 BP Standen y Santoro 2004 Bird et al. 2022
DRI-3388 soft tissue NA NA 4394±54 BP Arriaza et al 2005 Bird et al. 2022
DRI-3389 soft tissue NA NA 4093±81 BP Arriaza et al 2005 Bird et al. 2022
DRI-3390 soft tissue NA NA 3818±60 BP Hockett and Dillingham 2004 Bird et al. 2022
DRI-3448 soft tissue NA NA 4633±55 BP Arriaza et al 2005 Bird et al. 2022
DRI-3449 plant NA NA 5414±58 BP Arriaza et al 2005 Bird et al. 2022
DRI-3450 bone NA NA 5434±59 BP Arriaza et al 2005 Bird et al. 2022
DRI-3451 plant NA NA 4174±86 BP Arriaza et al 2005 Bird et al. 2022
ETH-18326 hide NA NA 2846±124 BP Hockett and Dillingham 2004 Bird et al. 2022
GX-17019 Human soft tissue NA NA 4120±75 BP Wilmeth 1978; Gordon 1996; Morrison 1979; Faunmap 4187; Harington 2003: 411; McGhee 1970 Bird et al. 2022
GX-182260 soft tissue NA NA 4310±145 BP Aufderheide et al 2002 Bird et al. 2022
GX-18259 soft tissue NA NA 3880±70 BP Arriaza et al 2005 Bird et al. 2022
GX-18260 soft tissue NA NA 2360±145 BP Gayo et al 2015 Bird et al. 2022
GX-18261 soft tissue NA NA 3750±140 BP Gayo et al 2015 Bird et al. 2022
GX-18262 soft tissue NA NA 3895±75 BP Arriaza et al 2005 Bird et al. 2022
GX-18263 soft tissue NA NA 2060±75 BP Ziolkowski et al 1994 Bird et al. 2022
GaK-9902 Wood NA NA 5240±230 BP Arriaza et al 2005 Bird et al. 2022
I-13539 Plant fiber and human soft tissue NA NA 5160±110 BP Allison et al 1984 Rivera y Rothhammer 1986 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Arriaza et al 2005,
  
}
@misc{Santoro 2004,
  
}
@misc{Standen y Santoro 2004,
  
}
@misc{Hockett and Dillingham 2004,
  
}
@misc{Wilmeth 1978; Gordon 1996; Morrison 1979; Faunmap 4187; Harington 2003: 411; McGhee 1970,
  
}
@misc{Aufderheide et al 2002,
  
}
@misc{Gayo et al 2015,
  
}
@misc{Ziolkowski et al 1994,
  
}
@misc{Allison et al 1984  Rivera y Rothhammer 1986,
  
}
@misc{Ferris 1988; Lennox and Fitzgerald 1990; Murphy and Ferris 1990; Fox 1983a 1993,
  
}
@misc{Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Bard et al. 1985; Gold  2005,
  
}
@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":"Arriaza et al 2005","bibtex_type":"misc"}{"bibtex_key":"Santoro 2004","bibtex_type":"misc"}{"bibtex_key":"Standen y Santoro 2004","bibtex_type":"misc"}{"bibtex_key":"Hockett and Dillingham 2004","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Gordon 1996; Morrison 1979; Faunmap 4187; Harington 2003: 411; McGhee 1970","bibtex_type":"misc"}{"bibtex_key":"Aufderheide et al 2002","bibtex_type":"misc"}{"bibtex_key":"Gayo et al 2015","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"Allison et al 1984  Rivera y Rothhammer 1986","bibtex_type":"misc"}{"bibtex_key":"Ferris 1988; Lennox and Fitzgerald 1990; Murphy and Ferris 1990; Fox 1983a 1993","bibtex_type":"misc"}{"bibtex_key":"Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Bard et al. 1985; Gold  2005","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: Arriaza et al 2005
:bibtex_type: :misc
---
:bibtex_key: Santoro 2004
:bibtex_type: :misc
---
:bibtex_key: Standen y Santoro 2004
:bibtex_type: :misc
---
:bibtex_key: Hockett and Dillingham 2004
:bibtex_type: :misc
---
:bibtex_key: 'Wilmeth 1978; Gordon 1996; Morrison 1979; Faunmap 4187; Harington 2003:
  411; McGhee 1970'
:bibtex_type: :misc
---
:bibtex_key: Aufderheide et al 2002
:bibtex_type: :misc
---
:bibtex_key: Gayo et al 2015
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: Allison et al 1984  Rivera y Rothhammer 1986
:bibtex_type: :misc
---
:bibtex_key: Ferris 1988; Lennox and Fitzgerald 1990; Murphy and Ferris 1990; Fox
  1983a 1993
:bibtex_type: :misc
---
:bibtex_key: Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Bard et al.
  1985; Gold  2005
: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