Site types
Plein air and

Location

Coordinates (degrees)
039.111° N, 008.670° W
Coordinates (DMS)
039° 06' 00" W, 008° 40' 00" N
Country (ISO 3166)
Portugal (PT)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
TO-360 os (collagène) Homo sapiens NA 6990±110 BP 8010–7618 cal BP Juan Cabanilles & Martí Oilver 2002, p.79 sq. Perrin 2021
TO-354 os (collagène) Homo sapiens NA 6970±60 BP 7932–7681 cal BP Juan Cabanilles & Martí Oilver 2002, p.79 sq. Perrin 2021
TO-359a os (collagène) Homo sapiens NA 6960±60 BP 7930–7677 cal BP Juan Cabanilles & Martí Oilver 2002, p.79 sq. Perrin 2021
TO-355 os (collagène) Homo sapiens NA 6780±80 BP 7787–7488 cal BP Juan Cabanilles & Martí Oilver 2002, p.79 sq. Perrin 2021
Sa-197 charbon NA NA 6430±300 BP 7922–6655 cal BP Juan Cabanilles & Martí Oilver 2002, p.79 sq. Perrin 2021
TO-356 os (collagène) Homo sapiens NA 6360±80 BP 7428–7030 cal BP Juan Cabanilles & Martí Oilver 2002, p.79 sq. Perrin 2021
Beta-127451 os (collagène) Homo sapiens AMS 7550±100 BP 8586–8060 cal BP Meiklejohn 2009, p. 7 Perrin 2021
TO-10217 os (collagène) Homo sapiens AMS 6620±60 BP 7584–7425 cal BP Meiklejohn 2009, p. 7 Perrin 2021
TO-10216 os (collagène) Homo sapiens AMS 7040±60 BP 7972–7730 cal BP Meiklejohn 2009, p. 7 Perrin 2021
Sa-196 charbon NA NA 5150±300 BP 6629–5080 cal BP Juan Cabanilles & Martí Oilver 2002, p.79 sq. Perrin 2021
TO-10215 charbon NA AMS 7410±70 BP 8367–8037 cal BP Meiklejohn 2009, p. 7 Perrin 2021
Beta-229584 bone NA NA 4410±40 BP 5275–4861 cal BP Larsson 2019 Bird et al. 2022

typological date Typological dates (11)

Classification Estimated age References
Mésolithique 2 NA Juan Cabanilles & Martí Oilver 2002, p.79 sq.
Mésolithique 2 NA Juan Cabanilles & Martí Oilver 2002, p.79 sq.
Mésolithique 2 NA Juan Cabanilles & Martí Oilver 2002, p.79 sq.
Mésolithique 2 NA Juan Cabanilles & Martí Oilver 2002, p.79 sq.
Mésolithique 2 NA Juan Cabanilles & Martí Oilver 2002, p.79 sq.
Mésolithique 2 NA Juan Cabanilles & Martí Oilver 2002, p.79 sq.
Mésolithique 2 NA Meiklejohn 2009, p. 7
Mésolithique 2 NA Meiklejohn 2009, p. 7
Mésolithique 2 NA Meiklejohn 2009, p. 7
Mésolithique 2 NA Juan Cabanilles & Martí Oilver 2002, p.79 sq.
Mésolithique 2 NA Meiklejohn 2009, p. 7

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Juan Cabanilles & Martí Oilver 2002, p.79 sq.]
  • No bibliographic information available. [Meiklejohn 2009, p. 7]
  • No bibliographic information available. [Larsson 2019]
  • Perrin, T. (2021). Base de Données Archéologique (BDA) [Data set]. NAKALA. https://doi.org/10.34847/nkl.dde9fnm8 [BDA]
  • Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c] 
@misc{Juan Cabanilles & Martí Oilver 2002, p.79 sq.,
  
}
@misc{Meiklejohn 2009, p. 7,
  
}
@misc{Larsson 2019,
  
}
@dataset{BDA,
  title = {Base de Données Archéologique (BDA)},
  author = {Perrin, Thomas},
  date = {2021-02-03},
  publisher = {NAKALA},
  doi = {10.34847/nkl.dde9fnm8},
  url = {https://nakala.fr/10.34847/nkl.dde9fnm8},
  urldate = {2023-09-07},
  abstract = {Exports in .xlsx format of the main tables of the BDA database (Archaeological Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.},
  langid = {french}
}
@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":"Juan Cabanilles & Martí Oilver 2002, p.79 sq.","bibtex_type":"misc"}{"bibtex_key":"Meiklejohn 2009, p. 7","bibtex_type":"misc"}{"bibtex_key":"Larsson 2019","bibtex_type":"misc"}[{"bibtex_key":"BDA","bibtex_type":"dataset","title":"{Base de Données Archéologique (BDA)}","author":"{Perrin, Thomas}","date":"{2021-02-03}","publisher":"{NAKALA}","doi":"{10.34847/nkl.dde9fnm8}","url":"{https://nakala.fr/10.34847/nkl.dde9fnm8}","urldate":"{2023-09-07}","abstract":"{Exports in .xlsx format of the main tables of the BDA database (Archaeological Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.}","langid":"{french}"}][{"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: Juan Cabanilles & Martí Oilver 2002, p.79 sq.
:bibtex_type: :misc
---
:bibtex_key: Meiklejohn 2009, p. 7
:bibtex_type: :misc
---
:bibtex_key: Larsson 2019
:bibtex_type: :misc
---
- :bibtex_key: BDA
  :bibtex_type: :dataset
  :title: "{Base de Données Archéologique (BDA)}"
  :author: "{Perrin, Thomas}"
  :date: "{2021-02-03}"
  :publisher: "{NAKALA}"
  :doi: "{10.34847/nkl.dde9fnm8}"
  :url: "{https://nakala.fr/10.34847/nkl.dde9fnm8}"
  :urldate: "{2023-09-07}"
  :abstract: "{Exports in .xlsx format of the main tables of the BDA database (Archaeological
    Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.}"
  :langid: "{french}"
---
- :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