Site type

Location

Coordinates (degrees)
008.870° S, 063.313° W
Coordinates (DMS)
008° 52' 00" W, 063° 18' 00" S
Country (ISO 3166)
Brazil (BR)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-27013 NA NA 6970±60 BP 7932–7681 cal BP Miller 1992 Bird et al. 2022
Beta-27015 NA NA 8230±100 BP 9465–8996 cal BP Byerly et al 2015 Bird et al. 2022
Beta-27021 NA NA 4780±70 BP 5648–5321 cal BP C.A. REHER Bird et al. 2022
Beta-27406 NA NA 4130±160 BP 5260–4151 cal BP Vego Toscano L. 2007. In Homenaje Cabrera. Alcala de Henares: 396-405. Marreiros J. 2013. Quaternary International (2013) doi: 10.1016/j.quaint.2013.05.008. Garcia Moreno 2014 Archivo de praehistoria Levantina 30: 1-16. Bird et al. 2022
Beta-27655 NA NA 2640±60 BP 2878–2499 cal BP RirisArroyoKalin2019 Bird et al. 2022
Beta-27658 NA NA 6090±130 BP 7264–6660 cal BP Burke 1988 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Miller 1992,
  
}
@misc{Byerly et al 2015,
  
}
@misc{C.A. REHER,
  
}
@misc{Vego Toscano L.   2007. In Homenaje Cabrera. Alcala de Henares: 396-405.  Marreiros J.  2013. Quaternary International (2013) doi: 10.1016/j.quaint.2013.05.008.  Garcia Moreno 2014 Archivo de praehistoria Levantina 30: 1-16.,
  
}
@misc{RirisArroyoKalin2019,
  
}
@misc{Burke 1988,
  
}
@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":"Miller 1992","bibtex_type":"misc"}{"bibtex_key":"Byerly et al 2015","bibtex_type":"misc"}{"bibtex_key":"C.A. REHER","bibtex_type":"misc"}{"bibtex_key":"Vego Toscano L.   2007. In Homenaje Cabrera. Alcala de Henares: 396-405.  Marreiros J.  2013. Quaternary International (2013) doi: 10.1016/j.quaint.2013.05.008.  Garcia Moreno 2014 Archivo de praehistoria Levantina 30: 1-16.","bibtex_type":"misc"}{"bibtex_key":"RirisArroyoKalin2019","bibtex_type":"misc"}{"bibtex_key":"Burke 1988","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: Miller 1992
:bibtex_type: :misc
---
:bibtex_key: Byerly et al 2015
:bibtex_type: :misc
---
:bibtex_key: C.A. REHER
:bibtex_type: :misc
---
:bibtex_key: 'Vego Toscano L.   2007. In Homenaje Cabrera. Alcala de Henares: 396-405.  Marreiros
  J.  2013. Quaternary International (2013) doi: 10.1016/j.quaint.2013.05.008.  Garcia
  Moreno 2014 Archivo de praehistoria Levantina 30: 1-16.'
:bibtex_type: :misc
---
:bibtex_key: RirisArroyoKalin2019
:bibtex_type: :misc
---
:bibtex_key: Burke 1988
: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