Site type

Location

200 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)
014.490° S, 075.070° W
Coordinates (DMS)
014° 29' 00" W, 075° 04' 00" S
Country (ISO 3166)
Peru (PE)

radiocarbon date Radiocarbon dates (21)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
C-521 wood NA NA 2211±200 BP 2723–1745 cal BP Libby 1955 84 Bird et al. 2022
Gd-2994 wood NA NA 5280±90 BP 6280–5903 cal BP Ziolkowski et al 1994 Bird et al. 2022
Gd-2996 wood NA NA 5440±90 BP 6398–5999 cal BP Mazurowski et al. 2009 Bird et al. 2022
Gd-3441 charcoal NA NA 5535±30 BP 6394–6288 cal BP Ziolkowski et al 1994 Bird et al. 2022
Gd-3442 charcoal NA NA 4405±30 BP 5213–4865 cal BP Ginter & Kozlowski 1994 Bird et al. 2022
Gd-4393 wood NA NA 5430±130 BP 6485–5922 cal BP Ziolkowski et al 1994 Bird et al. 2022
Gd-4394 wood NA NA 5400±150 BP 6496–5760 cal BP Goldberg_2016 Bird et al. 2022
Gd-4500 textile NA NA 2160±110 BP 2360–1830 cal BP Mussi et al. 2011 Bird et al. 2022
Gd-5606 plant NA NA 2010±60 BP 2119–1750 cal BP Ziolkowski et al 1994 Bird et al. 2022
Gd-5608 wood NA NA 2030±50 BP 2115–1834 cal BP Pazdur ea. 1994 Bird et al. 2022
Gd-6175 plant NA NA 2070±80 BP 2305–1826 cal BP Ziolkowski et al 1994 Bird et al. 2022
Gd-6488 plant NA NA 2030±80 BP 2295–1743 cal BP Schild ea. 1996; Schild & Wendorf 2001 Bird et al. 2022
Gd-6617 plant NA NA 2330±80 BP 2703–2127 cal BP Gayo et al 2015 Bird et al. 2022
Gd-7083 charcoal NA NA 2190±60 BP 2337–2006 cal BP Pazdur ea. 1994 Bird et al. 2022
Gd-7149 charcoal NA NA 2090±60 BP 2302–1886 cal BP Roth and McBrinn 2016 Bird et al. 2022
Gd-8010 unknown NA NA 2120±60 BP 2308–1939 cal BP Ziolkowski et al 1994 Bird et al. 2022
Gd-8011 charcoal NA NA 3720±60 BP 4238–3900 cal BP Ziolkowski et al 1994 Bird et al. 2022
Gd-8017 plant NA NA 3780±80 BP 4410–3930 cal BP Goldberg_2016 Bird et al. 2022
Gif-8128 wood NA NA 5190±70 BP 6183–5750 cal BP Larsson 2019 Bird et al. 2022
GrN-16593 charcoal NA NA 5555±45 BP 6436–6285 cal BP Lanting/Mook 1977 47. Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Libby 1955 84,
  
}
@misc{Ziolkowski et al 1994,
  
}
@misc{Mazurowski et al. 2009,
  
}
@misc{Ginter & Kozlowski 1994,
  
}
@misc{Goldberg_2016,
  
}
@misc{Mussi et al. 2011,
  
}
@misc{Pazdur ea. 1994,
  
}
@misc{Schild ea. 1996; Schild & Wendorf 2001,
  
}
@misc{Gayo et al 2015,
  
}
@misc{Roth and McBrinn 2016,
  
}
@misc{Larsson 2019,
  
}
@misc{Lanting/Mook 1977 47.,
  
}
@misc{Spangler 2000,
  
}
@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":"Libby 1955 84","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"Mazurowski et al. 2009","bibtex_type":"misc"}{"bibtex_key":"Ginter & Kozlowski 1994","bibtex_type":"misc"}{"bibtex_key":"Goldberg_2016","bibtex_type":"misc"}{"bibtex_key":"Mussi et al. 2011","bibtex_type":"misc"}{"bibtex_key":"Pazdur ea. 1994","bibtex_type":"misc"}{"bibtex_key":"Schild ea. 1996; Schild & Wendorf 2001","bibtex_type":"misc"}{"bibtex_key":"Gayo et al 2015","bibtex_type":"misc"}{"bibtex_key":"Roth and McBrinn 2016","bibtex_type":"misc"}{"bibtex_key":"Larsson 2019","bibtex_type":"misc"}{"bibtex_key":"Lanting/Mook 1977 47.","bibtex_type":"misc"}{"bibtex_key":"Spangler 2000","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: Libby 1955 84
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: Mazurowski et al. 2009
:bibtex_type: :misc
---
:bibtex_key: Ginter & Kozlowski 1994
:bibtex_type: :misc
---
:bibtex_key: Goldberg_2016
:bibtex_type: :misc
---
:bibtex_key: Mussi et al. 2011
:bibtex_type: :misc
---
:bibtex_key: Pazdur ea. 1994
:bibtex_type: :misc
---
:bibtex_key: Schild ea. 1996; Schild & Wendorf 2001
:bibtex_type: :misc
---
:bibtex_key: Gayo et al 2015
:bibtex_type: :misc
---
:bibtex_key: Roth and McBrinn 2016
:bibtex_type: :misc
---
:bibtex_key: Larsson 2019
:bibtex_type: :misc
---
:bibtex_key: Lanting/Mook 1977 47.
:bibtex_type: :misc
---
:bibtex_key: Spangler 2000
: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