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)
017.826° S, 071.127° W
Coordinates (DMS)
017° 49' 00" W, 071° 07' 00" S
Country (ISO 3166)
Peru (PE)

radiocarbon date Radiocarbon dates (31)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-108536-A Organic material NA NA 4550±60 BP 5445–4979 cal BP Keefer et al 1998 Bird et al. 2022
Beta-108692 charcoal NA NA 10750±80 BP 12835–12507 cal BP deFrance S. D. Keefer D. K. Richardson J. B. Adan Umire A. (2001). Late Paleo-Indian coastal foragers: specialized extractive behavior at Quebrada Tacahuay Peru. Latin American Antiquity 12 413-426. Bird et al. 2022
Beta-108858 charcoal NA NA 9550±90 BP 11173–10595 cal BP Rademaker et al 2013 Bird et al. 2022
Beta-108859 Charcoal NA NA 9550±90 BP 11173–10595 cal BP Keefer et al 1988 Bird et al. 2022
Beta-108859-A Terrestrial shell NA NA 9630±60 BP 11190–10767 cal BP Keefer et al 1998 Bird et al. 2022
Beta-108859A shell NA NA 9630±40 BP 11179–10784 cal BP Ziolkowski et al 1994 Bird et al. 2022
Beta-108860 charcoal NA NA 10530±140 BP 12738–11970 cal BP deFrance S. D. Keefer D. K. Richardson J. B. Adan Umire A. (2001). Late Paleo-Indian coastal foragers: specialized extractive behavior at Quebrada Tacahuay Peru. Latin American Antiquity 12 413-426. Bird et al. 2022
Beta-108861-A Organic material NA NA 7920±80 BP 8997–8555 cal BP Keefer et al 1998 Bird et al. 2022
Beta-109354 charcoal NA NA 7990±80 BP 9022–8600 cal BP deFrance et al 2001 Bird et al. 2022
Beta-109354-C Charcoal NA NA 7990±80 BP 9022–8600 cal BP Keefer et al 1998 Bird et al. 2022
Beta-110330-A Organic material NA NA 8430±60 BP 9536–9305 cal BP Keefer et al 1998 Bird et al. 2022
Beta-122820 charcoal NA NA 10090±130 BP 12428–11235 cal BP deFrance S. D. Keefer D. K. Richardson J. B. Adan Umire A. (2001). Late Paleo-Indian coastal foragers: specialized extractive behavior at Quebrada Tacahuay Peru. Latin American Antiquity 12 413-426. Bird et al. 2022
Beta-122821 charcoal NA NA 10510±50 BP 12683–12196 cal BP Rademaker K. Bromley G. R. M. Sandweiss D. H. (2013). Peru archaeological radiocarbon database 13000-7000 14C B.P. Quaternary International 30 34-45. Bird et al. 2022
Beta-122822 charcoal NA NA 10420±110 BP 12675–11935 cal BP deFrance S. D. Keefer D. K. Richardson J. B. Adan Umire A. (2001). Late Paleo-Indian coastal foragers: specialized extractive behavior at Quebrada Tacahuay Peru. Latin American Antiquity 12 413-426. Bird et al. 2022
Beta-126968 charcoal NA NA 10290±200 BP 12672–11351 cal BP deFrance S. D. Keefer D. K. Richardson J. B. Adan Umire A. (2001). Late Paleo-Indian coastal foragers: specialized extractive behavior at Quebrada Tacahuay Peru. Latin American Antiquity 12 413-426. Bird et al. 2022
Beta-129709 Charcoal NA NA 9090±110 BP 10561–9905 cal BP DeFrance 2001 Bird et al. 2022
Beta-159921 Charcoal NA NA 9850±150 BP 11817–10775 cal BP DeFrance y Umire 2004 Bird et al. 2022
Beta-160706 charcoal NA NA 10660±80 BP 12754–12484 cal BP Rademaker K. Bromley G. R. M. Sandweiss D. H. (2013). Peru archaeological radiocarbon database 13000-7000 14C B.P. Quaternary International 30 34-45. Bird et al. 2022
Beta-160707 charcoal NA NA 10050±90 BP 11876–11263 cal BP Rademaker K. Bromley G. R. M. Sandweiss D. H. (2013). Peru archaeological radiocarbon database 13000-7000 14C B.P. Quaternary International 30 34-45. Bird et al. 2022
Beta-172615 Charcoal NA NA 9010±40 BP 10244–9965 cal BP DeFrance y Umire 2004 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Keefer et al 1998,
  
}
@misc{deFrance S. D. Keefer D. K. Richardson J. B. Adan Umire A. (2001). Late Paleo-Indian coastal foragers: specialized extractive behavior at Quebrada Tacahuay Peru. Latin American Antiquity 12 413-426.,
  
}
@misc{Rademaker et al 2013,
  
}
@misc{Keefer et al 1988,
  
}
@misc{Ziolkowski et al 1994,
  
}
@misc{deFrance et al 2001,
  
}
@misc{Rademaker K. Bromley G. R. M. Sandweiss D. H. (2013). Peru archaeological radiocarbon database 13000-7000 14C B.P. Quaternary International 30 34-45.,
  
}
@misc{DeFrance 2001,
  
}
@misc{DeFrance y Umire 2004,
  
}
@misc{DeFrance et al 2009,
  
}
@misc{Pratesetal2020,
  
}
@misc{deFrance S. D. & Alvarez U. (2004). Quebrada Tacahuay: una ocupacion maritima del Pleistoceno Tardio en el Sur del Peru. Chungara 36 257-278.,
  
}
@misc{Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and regional settlement patterns revealed by time-series analyses of an archaeological radiocarbon database for the South-Central Andes (16-25S). Quaternary International 356 4-14.,
  
}
@misc{Ortlieb L. Vargas G. Saliege J. F. (2011). Marine radiocarbon reservoir effect along the northern Chile-southern Peru coast (14-24S) throughout the Holocene. Quaternary Research 75 91-103.,
  
}
@article{CapuzzoEtAl2014,
  title = {EUBAR: A Database of 14C Measurements for the European Bronze Age. A Bayesian Analysis of 14C-Dated Archaeological Contexts from Northern Italy and Southern France},
  shorttitle = {EUBAR},
  author = {Capuzzo, Giacomo and Boaretto, Elisabetta and Barceló, Juan A.},
  year = {2014},
  month = {jan},
  journal = {Radiocarbon},
  volume = {56},
  number = {2},
  pages = {851–869},
  issn = {0033-8222, 1945-5755},
  doi = {10.2458/56.17453},
  abstract = {The chronological framework of European protohistory is mostly a relative chronology based on typology and stratigraphic data. Synchronization of different time periods suffers from a lack of absolute dates; therefore, disagreements between different chronological schemes are difficult to reconcile. An alternative approach was applied in this study to build a more precise and accurate absolute chronology. To the best of our knowledge, we have collected all the published 14C dates for the archaeological sites in the region from the Ebro River (Spain) to the Middle Danube Valley (Austria) for the period 1800–750 BC. The available archaeological information associated with the 14C dates was organized in a database that totaled more than 1600 14C dates. In order to build an accurate and precise chronology, quality selection rules have been applied to the 14C dates based on both archaeological context and analytical quality. Using the OxCal software and Bayesian analysis, several 14C time sequences were created following the archaeological data and different possible scenarios were tested in northern Italy and southern France.},
  langid = {english},
  month_numeric = {1}
}
@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":"Keefer et al 1998","bibtex_type":"misc"}{"bibtex_key":"deFrance S. D. Keefer D. K. Richardson J. B. Adan Umire A. (2001). Late Paleo-Indian coastal foragers: specialized extractive behavior at Quebrada Tacahuay Peru. Latin American Antiquity 12 413-426.","bibtex_type":"misc"}{"bibtex_key":"Rademaker et al 2013","bibtex_type":"misc"}{"bibtex_key":"Keefer et al 1988","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"deFrance et al 2001","bibtex_type":"misc"}{"bibtex_key":"Rademaker K. Bromley G. R. M. Sandweiss D. H. (2013). Peru archaeological radiocarbon database 13000-7000 14C B.P. Quaternary International 30 34-45.","bibtex_type":"misc"}{"bibtex_key":"DeFrance 2001","bibtex_type":"misc"}{"bibtex_key":"DeFrance y Umire 2004","bibtex_type":"misc"}{"bibtex_key":"DeFrance et al 2009","bibtex_type":"misc"}{"bibtex_key":"Pratesetal2020","bibtex_type":"misc"}{"bibtex_key":"deFrance S. D. & Alvarez U. (2004). Quebrada Tacahuay: una ocupacion maritima del Pleistoceno Tardio en el Sur del Peru. Chungara 36 257-278.","bibtex_type":"misc"}{"bibtex_key":"Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and regional settlement patterns revealed by time-series analyses of an archaeological radiocarbon database for the South-Central Andes (16-25S). Quaternary International 356 4-14.","bibtex_type":"misc"}{"bibtex_key":"Ortlieb L. Vargas G. Saliege J. F. (2011). Marine radiocarbon reservoir effect along the northern Chile-southern Peru coast (14-24S) throughout the Holocene. Quaternary Research 75 91-103.","bibtex_type":"misc"}[{"bibtex_key":"CapuzzoEtAl2014","bibtex_type":"article","title":"{EUBAR: A Database of 14C Measurements for the European Bronze Age. A Bayesian Analysis of 14C-Dated Archaeological Contexts from Northern Italy and Southern France}","shorttitle":"{EUBAR}","author":"{Capuzzo, Giacomo and Boaretto, Elisabetta and Barceló, Juan A.}","year":"{2014}","month":"{jan}","journal":"{Radiocarbon}","volume":"{56}","number":"{2}","pages":"{851–869}","issn":"{0033-8222, 1945-5755}","doi":"{10.2458/56.17453}","abstract":"{The chronological framework of European protohistory is mostly a relative chronology based on typology and stratigraphic data. Synchronization of different time periods suffers from a lack of absolute dates; therefore, disagreements between different chronological schemes are difficult to reconcile. An alternative approach was applied in this study to build a more precise and accurate absolute chronology. To the best of our knowledge, we have collected all the published 14C dates for the archaeological sites in the region from the Ebro River (Spain) to the Middle Danube Valley (Austria) for the period 1800–750 BC. The available archaeological information associated with the 14C dates was organized in a database that totaled more than 1600 14C dates. In order to build an accurate and precise chronology, quality selection rules have been applied to the 14C dates based on both archaeological context and analytical quality. Using the OxCal software and Bayesian analysis, several 14C time sequences were created following the archaeological data and different possible scenarios were tested in northern Italy and southern France.}","langid":"{english}","month_numeric":"{1}"}][{"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: Keefer et al 1998
:bibtex_type: :misc
---
:bibtex_key: 'deFrance S. D. Keefer D. K. Richardson J. B. Adan Umire A. (2001). Late
  Paleo-Indian coastal foragers: specialized extractive behavior at Quebrada Tacahuay
  Peru. Latin American Antiquity 12 413-426.'
:bibtex_type: :misc
---
:bibtex_key: Rademaker et al 2013
:bibtex_type: :misc
---
:bibtex_key: Keefer et al 1988
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: deFrance et al 2001
:bibtex_type: :misc
---
:bibtex_key: Rademaker K. Bromley G. R. M. Sandweiss D. H. (2013). Peru archaeological
  radiocarbon database 13000-7000 14C B.P. Quaternary International 30 34-45.
:bibtex_type: :misc
---
:bibtex_key: DeFrance 2001
:bibtex_type: :misc
---
:bibtex_key: DeFrance y Umire 2004
:bibtex_type: :misc
---
:bibtex_key: DeFrance et al 2009
:bibtex_type: :misc
---
:bibtex_key: Pratesetal2020
:bibtex_type: :misc
---
:bibtex_key: 'deFrance S. D. & Alvarez U. (2004). Quebrada Tacahuay: una ocupacion
  maritima del Pleistoceno Tardio en el Sur del Peru. Chungara 36 257-278.'
:bibtex_type: :misc
---
:bibtex_key: Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and
  regional settlement patterns revealed by time-series analyses of an archaeological
  radiocarbon database for the South-Central Andes (16-25S). Quaternary International
  356 4-14.
:bibtex_type: :misc
---
:bibtex_key: Ortlieb L. Vargas G. Saliege J. F. (2011). Marine radiocarbon reservoir
  effect along the northern Chile-southern Peru coast (14-24S) throughout the Holocene.
  Quaternary Research 75 91-103.
:bibtex_type: :misc
---
- :bibtex_key: CapuzzoEtAl2014
  :bibtex_type: :article
  :title: "{EUBAR: A Database of 14C Measurements for the European Bronze Age. A Bayesian
    Analysis of 14C-Dated Archaeological Contexts from Northern Italy and Southern
    France}"
  :shorttitle: "{EUBAR}"
  :author: "{Capuzzo, Giacomo and Boaretto, Elisabetta and Barceló, Juan A.}"
  :year: "{2014}"
  :month: "{jan}"
  :journal: "{Radiocarbon}"
  :volume: "{56}"
  :number: "{2}"
  :pages: "{851–869}"
  :issn: "{0033-8222, 1945-5755}"
  :doi: "{10.2458/56.17453}"
  :abstract: "{The chronological framework of European protohistory is mostly a relative
    chronology based on typology and stratigraphic data. Synchronization of different
    time periods suffers from a lack of absolute dates; therefore, disagreements between
    different chronological schemes are difficult to reconcile. An alternative approach
    was applied in this study to build a more precise and accurate absolute chronology.
    To the best of our knowledge, we have collected all the published 14C dates for
    the archaeological sites in the region from the Ebro River (Spain) to the Middle
    Danube Valley (Austria) for the period 1800–750 BC. The available archaeological
    information associated with the 14C dates was organized in a database that totaled
    more than 1600 14C dates. In order to build an accurate and precise chronology,
    quality selection rules have been applied to the 14C dates based on both archaeological
    context and analytical quality. Using the OxCal software and Bayesian analysis,
    several 14C time sequences were created following the archaeological data and
    different possible scenarios were tested in northern Italy and southern France.}"
  :langid: "{english}"
  :month_numeric: "{1}"
---
- :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