Site type

Location

Coordinates (degrees)
000.130° S, 078.520° W
Coordinates (DMS)
000° 07' 00" W, 078° 31' 00" S
Country (ISO 3166)
Ecuador (EC)

radiocarbon date Radiocarbon dates (56)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GX-5065 charcoal NA NA 2795±180 BP Ziolkowski et al 1994 Bird et al. 2022
GX-5064 charcoal NA NA 2305±135 BP Ziolkowski et al 1994 Bird et al. 2022
GX-5063 charcoal NA NA 2515±150 BP Ziolkowski et al 1994 Bird et al. 2022
GX-5062 charcoal NA NA 2685±130 BP Ziolkowski et al 1994 Bird et al. 2022
GX-5061 charcoal NA NA 2665±140 BP Ziolkowski et al 1994 Bird et al. 2022
GX-5060 charcoal NA NA 2940±140 BP Ziolkowski et al 1994 Bird et al. 2022
GX-5059 charcoal NA NA 2735±135 BP Ziolkowski et al 1994 Bird et al. 2022
GX-5058 charcoal NA NA 2980±165 BP Ziolkowski et al 1994 Bird et al. 2022
GX-5057 charcoal NA NA 3000±150 BP Ziolkowski et al 1994 Bird et al. 2022
GX-4768 charcoal NA NA 3495±210 BP Lourandos and Williams various cit. Attenbrow 2004; Lourandos 1980; Lourandos 1983; McNiven et al. 2012 Bird et al. 2022
GX-4767 charcoal NA NA 2975±180 BP Ziolkowski et al 1994 Bird et al. 2022
GX-4766 charcoal NA NA 3135±165 BP Ziolkowski et al 1994 Bird et al. 2022
GX-4765 charcoal NA NA 2540±110 BP Ziolkowski et al 1994 Bird et al. 2022
GX-4764 charcoal NA NA 2410±140 BP Ziolkowski et al 1994 Bird et al. 2022
GX-4763 charcoal NA NA 2540±130 BP Ziolkowski et al 1994 Bird et al. 2022
GX-4762 charcoal NA NA 2485±130 BP Ziolkowski et al 1994 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Ziolkowski et al 1994,
  
}
@misc{Lourandos and Williams various cit. Attenbrow 2004; Lourandos 1980; Lourandos 1983; McNiven et al. 2012,
  
}
@misc{Berry 1982,
  
}
@misc{Woosley and McIntyre 1996:52,
  
}
@misc{Brown and Asch 1990; Emerson 1999,
  
}
@misc{Emerson 1999,
  
}
@misc{Beaudoin 1989,
  
}
@misc{Colvocoressi D. & David N. (1979),
  
}
@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":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"Lourandos and Williams various cit. Attenbrow 2004; Lourandos 1980; Lourandos 1983; McNiven et al. 2012","bibtex_type":"misc"}{"bibtex_key":"Berry 1982","bibtex_type":"misc"}{"bibtex_key":"Woosley and McIntyre 1996:52","bibtex_type":"misc"}{"bibtex_key":"Brown and Asch 1990; Emerson 1999","bibtex_type":"misc"}{"bibtex_key":"Emerson 1999","bibtex_type":"misc"}{"bibtex_key":"Beaudoin 1989","bibtex_type":"misc"}{"bibtex_key":"Colvocoressi D. & David N. (1979)","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: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: Lourandos and Williams various cit. Attenbrow 2004; Lourandos 1980; Lourandos
  1983; McNiven et al. 2012
:bibtex_type: :misc
---
:bibtex_key: Berry 1982
:bibtex_type: :misc
---
:bibtex_key: Woosley and McIntyre 1996:52
:bibtex_type: :misc
---
:bibtex_key: Brown and Asch 1990; Emerson 1999
:bibtex_type: :misc
---
:bibtex_key: Emerson 1999
:bibtex_type: :misc
---
:bibtex_key: Beaudoin 1989
:bibtex_type: :misc
---
:bibtex_key: Colvocoressi D. & David N. (1979)
: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