Site type

Location

Coordinates (degrees)
007.100° S, 078.300° W
Coordinates (DMS)
007° 06' 00" W, 078° 18' 00" S
Country (ISO 3166)
Peru (PE)

radiocarbon date Radiocarbon dates (30)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
SMU-1787 NA charcoal NA NA 2780±80 BP 3135–2750 cal BP Ziolkowski et al 1994 Bird et al. 2022
SMU-1788 NA unknown NA NA 2370±30 BP 2489–2339 cal BP Sampson C.G. 2010. Chronology and dynamics of Later Stone Age herders in the upper Seacow River valley South Africa.Journal of Arid Environments74(7) pp.842-848. Bird et al. 2022
TK-341a NA charcoal NA NA 3080±70 BP 3447–3077 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-341b NA charcoal NA NA 2710±240 BP 3443–2160 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-343 NA unknown NA NA 2460±230 BP 3103–1925 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-344 NA unknown NA NA 2680±160 BP 3173–2352 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-346 NA unknown NA NA 2200±120 BP 2674–1837 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-347 NA unknown NA NA 2010±230 BP 2682–1407 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-348a NA unknown NA NA 2380±90 BP 2724–2157 cal BP Sato et al. 1969 513 Bird et al. 2022
TK-409 NA unknown NA NA 2840±90 BP 3206–2763 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-410 NA unknown NA NA 2770±80 BP 3074–2744 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-411 NA unknown NA NA 2990±170 BP 3556–2759 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-416 NA unknown NA NA 2990±260 BP 3829–2494 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-525 NA unknown NA NA 2560±100 BP 2847–2357 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-526 NA unknown NA NA 2610±90 BP 2918–2368 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-527 NA unknown NA NA 2330±80 BP 2703–2127 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-528 NA unknown NA NA 2480±70 BP 2725–2362 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-529 NA unknown NA NA 2280±80 BP 2674–2009 cal BP Nishiaki 2010 Bird et al. 2022
TK-699 NA charcoal NA NA 2750±80 BP 3060–2741 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-701 NA unknown NA NA 2620±70 BP 2877–2489 cal BP Ziolkowski et al 1994 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Nishiaki 2010,
  
}
@misc{Ziolkowski et al 1994,
  
}
@misc{Sampson C.G. 2010. Chronology and dynamics of Later Stone Age herders in the upper Seacow River valley South Africa.Journal of Arid Environments74(7) pp.842-848.,
  
}
@misc{Sato et al. 1969 513,
  
}
@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":"Nishiaki 2010","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"Sampson C.G. 2010. Chronology and dynamics of Later Stone Age herders in the upper Seacow River valley South Africa.Journal of Arid Environments74(7) pp.842-848.","bibtex_type":"misc"}{"bibtex_key":"Sato et al. 1969 513","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: Nishiaki 2010
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: Sampson C.G. 2010. Chronology and dynamics of Later Stone Age herders
  in the upper Seacow River valley South Africa.Journal of Arid Environments74(7)
  pp.842-848.
:bibtex_type: :misc
---
:bibtex_key: Sato et al. 1969 513
: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