Beta-110542

radiocarbon date Radiocarbon date from Arene Candide
Record created in XRONOS on 2022-12-02 00:50:45 UTC. Last updated on 2022-12-02 00:50:45 UTC. See changelog for details.
Contributors: XRONOS development team

Measurement

Age (uncal BP)
6830
Error (±)
40
Lab
NA
Method
NA
Sample material
Sample taxon
NA

Calibration

Calibration curve
IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, BP)
7730 - 7585

Context

Site
Arene Candide
Context
Sample position
NA
Sample coordinates
NA

Bibliographic reference Bibliographic references (43)

@misc{Carvalho 2008,
  
}
@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}
}
@misc{Binder and Sénépart 2010,
  
}
@misc{Binder et al. 2017b,
  
}
@misc{Maggi and Chella 1999,
  
}
@misc{Alessio et al. 1996,
  
}
@misc{Pearce 2013,
  
}
@misc{Maggi 1977,
  
}
@misc{Binder and Maggi 2001,
  
}
@misc{Allegri et al. 1987,
  
}
@misc{Improta and Pessina 1998,
  
}
@misc{Maggi 1997,
  
}
@misc{Linick 1980,
  
}
@misc{Delibrias et al. 1982b,
  
}
@misc{Sparacello et al. 2020,
  
}
@misc{Sparacello 2019,
  
}
@misc{Manen 2019,
  
}
@misc{Linstädter 2004,
  
}
@misc{van Willigen 2006,
  
}
@misc{Arobba 2017,
  
}
@misc{Bagolini and Biagi 1990, 13,
  
}
@misc{Bagolini and Biagi 1990, 14,
  
}
@misc{Maggi/Chiella 1999,
  
}
@misc{Manen 2000,
  
}
@misc{Allegri et al. 1987; Manen 2000,
  
}
@misc{Bagolini/Biagi 1990; Tinè 1974,
  
}
@misc{Tinè 1974; Bagolini/Biagi 1990,
  
}
@misc{Bagolini/Biagi 1990,
  
}
@misc{Skeates/Whitehouse 1994,
  
}
@misc{Skeates/Whitehouse 1994; Manen 2000,
  
}
@misc{Maggi/Chiella 1999; Manen 2000,
  
}
@misc{Manen 2000; Maggi/Chiella 1999,
  
}
@misc{Bietti 1997,
  
}
@misc{Pettitt et al. 2003,
  
}
@misc{Alessio et al. 1966,
  
}
@misc{Maggi 1997 ; Manen & Sabatier 2003.,
  
}
@misc{Manen & Sabatier 2003.,
  
}
@misc{Binder et Maggi 2001,
  
}
@misc{Facchinetti 2012,
  
}
@misc{CALPAL; Vermeersch2019,
  
}
@misc{diLerniaAnagnostou2017.Chott,
  
}
@misc{Craig O.  2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S.  2017 QSR ip.,
  
}
@misc{CALPAL,
  
}
{"bibtex_key":"Carvalho 2008","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":"Binder and Sénépart 2010","bibtex_type":"misc"}{"bibtex_key":"Binder et al. 2017b","bibtex_type":"misc"}{"bibtex_key":"Maggi and Chella 1999","bibtex_type":"misc"}{"bibtex_key":"Alessio et al. 1996","bibtex_type":"misc"}{"bibtex_key":"Pearce 2013","bibtex_type":"misc"}{"bibtex_key":"Maggi 1977","bibtex_type":"misc"}{"bibtex_key":"Binder and Maggi 2001","bibtex_type":"misc"}{"bibtex_key":"Allegri et al. 1987","bibtex_type":"misc"}{"bibtex_key":"Improta and Pessina 1998","bibtex_type":"misc"}{"bibtex_key":"Maggi 1997","bibtex_type":"misc"}{"bibtex_key":"Linick 1980","bibtex_type":"misc"}{"bibtex_key":"Delibrias et al. 1982b","bibtex_type":"misc"}{"bibtex_key":"Sparacello et al. 2020","bibtex_type":"misc"}{"bibtex_key":"Sparacello 2019","bibtex_type":"misc"}{"bibtex_key":"Manen 2019","bibtex_type":"misc"}{"bibtex_key":"Linstädter 2004","bibtex_type":"misc"}{"bibtex_key":"van Willigen 2006","bibtex_type":"misc"}{"bibtex_key":"Arobba 2017","bibtex_type":"misc"}{"bibtex_key":"Bagolini and Biagi 1990, 13","bibtex_type":"misc"}{"bibtex_key":"Bagolini and Biagi 1990, 14","bibtex_type":"misc"}{"bibtex_key":"Maggi/Chiella 1999","bibtex_type":"misc"}{"bibtex_key":"Manen 2000","bibtex_type":"misc"}{"bibtex_key":"Allegri et al. 1987; Manen 2000","bibtex_type":"misc"}{"bibtex_key":"Bagolini/Biagi 1990; Tinè 1974","bibtex_type":"misc"}{"bibtex_key":"Tinè 1974; Bagolini/Biagi 1990","bibtex_type":"misc"}{"bibtex_key":"Bagolini/Biagi 1990","bibtex_type":"misc"}{"bibtex_key":"Skeates/Whitehouse 1994","bibtex_type":"misc"}{"bibtex_key":"Skeates/Whitehouse 1994; Manen 2000","bibtex_type":"misc"}{"bibtex_key":"Maggi/Chiella 1999; Manen 2000","bibtex_type":"misc"}{"bibtex_key":"Manen 2000; Maggi/Chiella 1999","bibtex_type":"misc"}{"bibtex_key":"Bietti 1997","bibtex_type":"misc"}{"bibtex_key":"Pettitt et al. 2003","bibtex_type":"misc"}{"bibtex_key":"Alessio et al. 1966","bibtex_type":"misc"}{"bibtex_key":"Maggi 1997 ; Manen & Sabatier 2003.","bibtex_type":"misc"}{"bibtex_key":"Manen & Sabatier 2003.","bibtex_type":"misc"}{"bibtex_key":"Binder et Maggi 2001","bibtex_type":"misc"}{"bibtex_key":"Facchinetti 2012","bibtex_type":"misc"}{"bibtex_key":"CALPAL; Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"diLerniaAnagnostou2017.Chott","bibtex_type":"misc"}{"bibtex_key":"Craig O.  2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S.  2017 QSR ip.","bibtex_type":"misc"}{"bibtex_key":"CALPAL","bibtex_type":"misc"}
---
:bibtex_key: Carvalho 2008
: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: Binder and Sénépart 2010
:bibtex_type: :misc
---
:bibtex_key: Binder et al. 2017b
:bibtex_type: :misc
---
:bibtex_key: Maggi and Chella 1999
:bibtex_type: :misc
---
:bibtex_key: Alessio et al. 1996
:bibtex_type: :misc
---
:bibtex_key: Pearce 2013
:bibtex_type: :misc
---
:bibtex_key: Maggi 1977
:bibtex_type: :misc
---
:bibtex_key: Binder and Maggi 2001
:bibtex_type: :misc
---
:bibtex_key: Allegri et al. 1987
:bibtex_type: :misc
---
:bibtex_key: Improta and Pessina 1998
:bibtex_type: :misc
---
:bibtex_key: Maggi 1997
:bibtex_type: :misc
---
:bibtex_key: Linick 1980
:bibtex_type: :misc
---
:bibtex_key: Delibrias et al. 1982b
:bibtex_type: :misc
---
:bibtex_key: Sparacello et al. 2020
:bibtex_type: :misc
---
:bibtex_key: Sparacello 2019
:bibtex_type: :misc
---
:bibtex_key: Manen 2019
:bibtex_type: :misc
---
:bibtex_key: Linstädter 2004
:bibtex_type: :misc
---
:bibtex_key: van Willigen 2006
:bibtex_type: :misc
---
:bibtex_key: Arobba 2017
:bibtex_type: :misc
---
:bibtex_key: Bagolini and Biagi 1990, 13
:bibtex_type: :misc
---
:bibtex_key: Bagolini and Biagi 1990, 14
:bibtex_type: :misc
---
:bibtex_key: Maggi/Chiella 1999
:bibtex_type: :misc
---
:bibtex_key: Manen 2000
:bibtex_type: :misc
---
:bibtex_key: Allegri et al. 1987; Manen 2000
:bibtex_type: :misc
---
:bibtex_key: Bagolini/Biagi 1990; Tinè 1974
:bibtex_type: :misc
---
:bibtex_key: Tinè 1974; Bagolini/Biagi 1990
:bibtex_type: :misc
---
:bibtex_key: Bagolini/Biagi 1990
:bibtex_type: :misc
---
:bibtex_key: Skeates/Whitehouse 1994
:bibtex_type: :misc
---
:bibtex_key: Skeates/Whitehouse 1994; Manen 2000
:bibtex_type: :misc
---
:bibtex_key: Maggi/Chiella 1999; Manen 2000
:bibtex_type: :misc
---
:bibtex_key: Manen 2000; Maggi/Chiella 1999
:bibtex_type: :misc
---
:bibtex_key: Bietti 1997
:bibtex_type: :misc
---
:bibtex_key: Pettitt et al. 2003
:bibtex_type: :misc
---
:bibtex_key: Alessio et al. 1966
:bibtex_type: :misc
---
:bibtex_key: Maggi 1997 ; Manen & Sabatier 2003.
:bibtex_type: :misc
---
:bibtex_key: Manen & Sabatier 2003.
:bibtex_type: :misc
---
:bibtex_key: Binder et Maggi 2001
:bibtex_type: :misc
---
:bibtex_key: Facchinetti 2012
:bibtex_type: :misc
---
:bibtex_key: CALPAL; Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: diLerniaAnagnostou2017.Chott
:bibtex_type: :misc
---
:bibtex_key: Craig O.  2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S.  2017
  QSR ip.
:bibtex_type: :misc
---
:bibtex_key: CALPAL
:bibtex_type: :misc

Changelog