Site type

Location

Coordinates (degrees)
042.460° N, 001.490° E
Coordinates (DMS)
042° 27' 00" E, 001° 29' 00" N
Country (ISO 3166)
Andorra (AD)

radiocarbon date Radiocarbon dates (29)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-68559 NA 14C 6868±40 BP Badalyan 2010 Weninger 2022
AA-68560 NA 14C 6930±44 BP Badalyan 2010 Weninger 2022
AA-68561 NA 14C 7035±69 BP Badalyan 2010 Weninger 2022
LTL-13037A bone NA NA 6970±35 BP McGovern 2017 Bird et al. 2022
LTL-13037A bone Homo sapiens 14C 6970±35 BP Poulmarc'h 2016 Weninger 2022
LTL-5734A bone NA NA 6860±45 BP Peresani M. 2008 Journal of Archaeological Science 35 (2008) 2986-2996; Bird et al. 2022
LTL-5734A bone Homo sapiens 14C 6860±45 BP Poulmarc'h 2016 Weninger 2022
Ly-13664 NA 14C 6350±70 BP Badalyan 2010 Weninger 2022
Ly-13665 NA 14C 6920±55 BP Badalyan 2010 Weninger 2022
nd-1 charcoal NA 14C 10820±260 BP van Willigen 2006 Weninger 2022
Poz-22745 NA 14C 6910±40 BP Badalyan 2010 Weninger 2022
Poz-22746 NA 14C 6420±40 BP Badalyan 2010 Weninger 2022
Poz-22747 NA 14C 6790±40 BP Badalyan 2010 Weninger 2022
Poz-56369 bone Homo sapiens 14C 6640±50 BP Poulmarc'h 2016 Weninger 2022
Poz-56369 bone NA NA 6640±50 BP Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
UGAMS-02292 Charcoal NA NA 6900±50 BP Hovsepyan and Willcox 2008 Bird et al. 2022
UGAMS-02293 Charcoal NA NA 6550±50 BP Borland 2008:15 Bird et al. 2022
UGAMS-2292 NA 14C 6900±50 BP Badalyan 2010 Weninger 2022
UGAMS-2293 NA 14C 6550±50 BP Badalyan 2010 Weninger 2022
UGAMS-2820 NA 14C 6690±50 BP Badalyan 2010 Weninger 2022

typological date Typological dates (24)

Classification Estimated age References
Epipalaeolithic NA van Willigen 2006
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Poulmarc'h 2016
Neolithic NA Poulmarc'h 2016
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Poulmarc'h 2016
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010
Neolithic NA Badalyan 2010

Bibliographic reference Bibliographic references

@misc{van Willigen 2006,
  
}
@misc{Badalyan 2010,
  
}
@misc{Poulmarc'h 2016,
  
}
@misc{McGovern 2017,
  
}
@misc{Peresani M.   2008 Journal of Archaeological Science 35 (2008) 2986-2996;,
  
}
@misc{Krajcarz M.T.  Archaeometry 60 2 (2018) 383-401.,
  
}
@misc{Hovsepyan and Willcox 2008,
  
}
@misc{Borland 2008:15,
  
}
@misc{CalPal,
  title = {CalPal Edition 2022.9},
  author = {Weninger, Bernie},
  year = {2022},
  month = {sep},
  doi = {1010.5281/zenodo.7422618},
  url = {https://zenodo.org/record/7422618},
  abstract = {CalPal is scientific freeware for 14C-based chronological research for Holocene and Palaeolithic Archaeology.},
  copyright = {Creative Commons Attribution 4.0 International, Open Access},
  howpublished = {Zenodo},
  month_numeric = {9}
}
@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":"van Willigen 2006","bibtex_type":"misc"}{"bibtex_key":"Badalyan 2010","bibtex_type":"misc"}{"bibtex_key":"Poulmarc'h 2016","bibtex_type":"misc"}{"bibtex_key":"McGovern 2017","bibtex_type":"misc"}{"bibtex_key":"Peresani M.   2008 Journal of Archaeological Science 35 (2008) 2986-2996;","bibtex_type":"misc"}{"bibtex_key":"Krajcarz M.T.  Archaeometry 60 2 (2018) 383-401.","bibtex_type":"misc"}{"bibtex_key":"Hovsepyan and Willcox 2008","bibtex_type":"misc"}{"bibtex_key":"Borland 2008:15","bibtex_type":"misc"}[{"bibtex_key":"CalPal","bibtex_type":"misc","title":"{CalPal Edition 2022.9}","author":"{Weninger, Bernie}","year":"{2022}","month":"{sep}","doi":"{1010.5281/zenodo.7422618}","url":"{https://zenodo.org/record/7422618}","abstract":"{CalPal is scientific freeware for 14C-based chronological research for Holocene and Palaeolithic Archaeology.}","copyright":"{Creative Commons Attribution 4.0 International, Open Access}","howpublished":"{Zenodo}","month_numeric":"{9}"}][{"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: van Willigen 2006
:bibtex_type: :misc
---
:bibtex_key: Badalyan 2010
:bibtex_type: :misc
---
:bibtex_key: Poulmarc'h 2016
:bibtex_type: :misc
---
:bibtex_key: McGovern 2017
:bibtex_type: :misc
---
:bibtex_key: Peresani M.   2008 Journal of Archaeological Science 35 (2008) 2986-2996;
:bibtex_type: :misc
---
:bibtex_key: Krajcarz M.T.  Archaeometry 60 2 (2018) 383-401.
:bibtex_type: :misc
---
:bibtex_key: Hovsepyan and Willcox 2008
:bibtex_type: :misc
---
:bibtex_key: Borland 2008:15
:bibtex_type: :misc
---
- :bibtex_key: CalPal
  :bibtex_type: :misc
  :title: "{CalPal Edition 2022.9}"
  :author: "{Weninger, Bernie}"
  :year: "{2022}"
  :month: "{sep}"
  :doi: "{1010.5281/zenodo.7422618}"
  :url: "{https://zenodo.org/record/7422618}"
  :abstract: "{CalPal is scientific freeware for 14C-based chronological research
    for Holocene and Palaeolithic Archaeology.}"
  :copyright: "{Creative Commons Attribution 4.0 International, Open Access}"
  :howpublished: "{Zenodo}"
  :month_numeric: "{9}"
---
- :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