Site type

Location

Coordinates (degrees)
002.520° S, 078.460° W
Coordinates (DMS)
002° 31' 00" W, 078° 27' 00" S
Country (ISO 3166)
Ecuador (EC)

radiocarbon date Radiocarbon dates (15)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BM-900 charcoal NA NA 2581±66 BP Ziolkowski et al 1994 Bird et al. 2022
BM-901 charcoal NA NA 2697±49 BP Ziolkowski et al 1994 Bird et al. 2022
BM-903 charcoal NA NA 2635±77 BP Ziolkowski et al 1994 Bird et al. 2022
OxA-1376 charcoal NA NA 3000±120 BP Goldberg_2016 Bird et al. 2022
Q-3161 unknown NA NA 2160±60 BP Ziolkowski et al 1994 Bird et al. 2022
Q-3162 unknown NA NA 2060±60 BP Ziolkowski et al 1994 Bird et al. 2022
Q-3165 soil NA NA 3300±110 BP Larsson 2019 Bird et al. 2022
Q-3190 soil NA NA 2250±70 BP Ziolkowski et al 1994 Bird et al. 2022
Q-3191 soil NA NA 3170±120 BP Ziolkowski et al 1994 Bird et al. 2022
Q-3193 soil NA NA 2720±90 BP Ziolkowski et al 1994 Bird et al. 2022
Q-3194 soil NA NA 2654±60 BP Ziolkowski et al 1994 Bird et al. 2022
Q-3195 soil NA NA 2525±40 BP Ziolkowski et al 1994 Bird et al. 2022
Q-3196 soil NA NA 2260±75 BP Hammond et al. 2009: Table 3.1 Bird et al. 2022
Q-3213 soil NA NA 2030±45 BP Larsson 2019 Bird et al. 2022
WIS-2131 charcoal NA NA 2080±60 BP Maslowski et al. 1995; Stothers et al. 1994; Abel 1999; Stothers and Abel 1991: 127 p.c. 2000; Prior and Phelps 1992: 143 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Ziolkowski et al 1994,
  
}
@misc{Goldberg_2016,
  
}
@misc{Larsson 2019,
  
}
@misc{Hammond et al. 2009: Table 3.1,
  
}
@misc{Maslowski et al. 1995; Stothers et al. 1994; Abel 1999; Stothers and Abel 1991: 127 p.c. 2000; Prior and Phelps 1992: 143,
  
}
@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":"Goldberg_2016","bibtex_type":"misc"}{"bibtex_key":"Larsson 2019","bibtex_type":"misc"}{"bibtex_key":"Hammond et al. 2009: Table 3.1","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995; Stothers et al. 1994; Abel 1999; Stothers and Abel 1991: 127 p.c. 2000; Prior and Phelps 1992: 143","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: Goldberg_2016
:bibtex_type: :misc
---
:bibtex_key: Larsson 2019
:bibtex_type: :misc
---
:bibtex_key: 'Hammond et al. 2009: Table 3.1'
:bibtex_type: :misc
---
:bibtex_key: 'Maslowski et al. 1995; Stothers et al. 1994; Abel 1999; Stothers and
  Abel 1991: 127 p.c. 2000; Prior and Phelps 1992: 143'
: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