Site type

Location

Coordinates (degrees)
008.850° S, 042.556° W
Coordinates (DMS)
008° 51' 00" W, 042° 33' 00" S
Country (ISO 3166)
Brazil (BR)

radiocarbon date Radiocarbon dates (13)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
FZ-430 NA charcoal NA NA 10454±114 BP 12685–11947 cal BP Bueno et al 2013 Bird et al. 2022
Gif-4635 NA charcoal NA NA 8050±170 BP 9425–8540 cal BP Pratesetal2020 Bird et al. 2022
Gif-4928 NA charcoal NA NA 7640±160 BP 8979–8040 cal BP Czebreszuk et al. 1997 41 Tab. 11; Pazdur et al. 1991 119 Bird et al. 2022
Gif-5862 NA charcoal NA NA 10400±180 BP 12730–11510 cal BP Etchevarne 2000 Bird et al. 2022
Gif-6157 NA charcoal NA NA 8080±120 BP 9399–8601 cal BP Etchevarne 2000 Bird et al. 2022
Gif-6161 NA charcoal NA NA 7750±80 BP 8750–8380 cal BP Bueno et al 2013 Bird et al. 2022
Gif-6162 NA charcoal NA NA 8450±80 BP 9548–9275 cal BP Pratesetal2020 Bird et al. 2022
Gif-6436 NA charcoal NA NA 8170±80 BP 9419–8812 cal BP Etchevarne 2000 Bird et al. 2022
Gif-7242 NA charcoal NA NA 7230±80 BP 8190–7870 cal BP Etchevarne 2000 Bird et al. 2022
Gif-8350 NA charcoal NA NA 8600±60 BP 9695–9480 cal BP Bueno et al 2013 Bird et al. 2022
Gif-8352 NA charcoal NA NA 10050±80 BP 11830–11266 cal BP Pratesetal2020 Bird et al. 2022
Gif-8389 NA charcoal NA NA 10040±80 BP 11819–11270 cal BP Etchevarne 2000 Bird et al. 2022
Gif-8390 NA charcoal NA NA 7220±80 BP 8187–7867 cal BP David G. 1996. Gallia Prehistoire 38: 111-248. Evin J. 1994. Radiocarbon 36: 345 ff. Dricker D.G. 2012 QI. Cupillard C. 2014. QI.2014.05.032 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Bueno et al 2013,
  
}
@misc{Etchevarne 2000,
  
}
@misc{Pratesetal2020,
  
}
@misc{Czebreszuk et al. 1997 41 Tab. 11; Pazdur et al. 1991 119,
  
}
@misc{David G. 1996. Gallia Prehistoire 38: 111-248. Evin J.  1994. Radiocarbon 36: 345 ff. Dricker D.G.  2012 QI. Cupillard C.  2014. QI.2014.05.032,
  
}
@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":"Bueno et al 2013","bibtex_type":"misc"}{"bibtex_key":"Etchevarne 2000","bibtex_type":"misc"}{"bibtex_key":"Pratesetal2020","bibtex_type":"misc"}{"bibtex_key":"Czebreszuk et al. 1997 41 Tab. 11; Pazdur et al. 1991 119","bibtex_type":"misc"}{"bibtex_key":"David G. 1996. Gallia Prehistoire 38: 111-248. Evin J.  1994. Radiocarbon 36: 345 ff. Dricker D.G.  2012 QI. Cupillard C.  2014. QI.2014.05.032","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: Bueno et al 2013
:bibtex_type: :misc
---
:bibtex_key: Etchevarne 2000
:bibtex_type: :misc
---
:bibtex_key: Pratesetal2020
:bibtex_type: :misc
---
:bibtex_key: Czebreszuk et al. 1997 41 Tab. 11; Pazdur et al. 1991 119
:bibtex_type: :misc
---
:bibtex_key: 'David G. 1996. Gallia Prehistoire 38: 111-248. Evin J.  1994. Radiocarbon
  36: 345 ff. Dricker D.G.  2012 QI. Cupillard C.  2014. QI.2014.05.032'
: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