Beta-234193

Radiocarbon date from Bordes-Fitte Roches d'Abilly

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): 31640
Error (±): 230
Lab: NA
Method: NA
Sample material: bone Coelodonta antiquitatis Linty
Sample taxon: NA

Calibration

Calibration curve: IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, BP): 36350 - 35486

Context

Site: Bordes-Fitte Roches d'Abilly
Context
Sample position: NA
Sample coordinates: NA

Bibliographic references (10)

No bibliographic information available. [Aubry T 2012. JHE 62: 116-137. Thomsen K.J. 2016. QG 31: 77-96.]
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]
No bibliographic information available. [Aubry T 2012. JHE 62: 116-137. Aubry T. 2014. JAS 52: 436-45. Thomsen K.J. 2016. QG 31: 77-96.]
No bibliographic information available. [Aubry T 2012. JHE 62: 116-137.]
No bibliographic information available. [Ducasse S. 2007. BSPF 104: 771-785. Ducasse S. 2011. Paleo 22: 101-154. Chauviere R-X 2017. BSPF 114: 619.]
No bibliographic information available. [Maniatis 2016]
No bibliographic information available. [DoukaJacobs.2014Chrono]
No bibliographic information available. [Vermeersch2019]
No bibliographic information available. [Marshall 2012 Fazeli Nashli et al. 2013]
No bibliographic information available. [Quiles A. 2014. Radiocarbon 56: 833-850. Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.]

@misc{Aubry T 2012. JHE 62: 116-137. Thomsen K.J.  2016. QG 31: 77-96.,
  
}
@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{Aubry T  2012. JHE 62: 116-137. Aubry T.  2014. JAS 52: 436-45. Thomsen K.J.  2016. QG 31: 77-96.,
  
}
@misc{Aubry T   2012. JHE 62: 116-137.,
  
}
@misc{Ducasse S.  2007. BSPF 104: 771-785. Ducasse S.  2011. Paleo 22: 101-154. Chauviere R-X   2017. BSPF 114: 619.,
  
}
@misc{Maniatis 2016,
  
}
@misc{DoukaJacobs.2014Chrono,
  
}
@misc{Vermeersch2019,
  
}
@misc{Marshall 2012 Fazeli Nashli et al. 2013,
  
}
@misc{Quiles A.  2014. Radiocarbon 56: 833-850. Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.,
  
}

{"bibtex_key":"Aubry T 2012. JHE 62: 116-137. Thomsen K.J.  2016. QG 31: 77-96.","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":"Aubry T  2012. JHE 62: 116-137. Aubry T.  2014. JAS 52: 436-45. Thomsen K.J.  2016. QG 31: 77-96.","bibtex_type":"misc"}{"bibtex_key":"Aubry T   2012. JHE 62: 116-137.","bibtex_type":"misc"}{"bibtex_key":"Ducasse S.  2007. BSPF 104: 771-785. Ducasse S.  2011. Paleo 22: 101-154. Chauviere R-X   2017. BSPF 114: 619.","bibtex_type":"misc"}{"bibtex_key":"Maniatis 2016","bibtex_type":"misc"}{"bibtex_key":"DoukaJacobs.2014Chrono","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Marshall 2012 Fazeli Nashli et al. 2013","bibtex_type":"misc"}{"bibtex_key":"Quiles A.  2014. Radiocarbon 56: 833-850. Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.","bibtex_type":"misc"}

---
:bibtex_key: 'Aubry T 2012. JHE 62: 116-137. Thomsen K.J.  2016. QG 31: 77-96.'
: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: 'Aubry T  2012. JHE 62: 116-137. Aubry T.  2014. JAS 52: 436-45. Thomsen
  K.J.  2016. QG 31: 77-96.'
:bibtex_type: :misc
---
:bibtex_key: 'Aubry T   2012. JHE 62: 116-137.'
:bibtex_type: :misc
---
:bibtex_key: 'Ducasse S.  2007. BSPF 104: 771-785. Ducasse S.  2011. Paleo 22: 101-154.
  Chauviere R-X   2017. BSPF 114: 619.'
:bibtex_type: :misc
---
:bibtex_key: Maniatis 2016
:bibtex_type: :misc
---
:bibtex_key: DoukaJacobs.2014Chrono
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: Marshall 2012 Fazeli Nashli et al. 2013
:bibtex_type: :misc
---
:bibtex_key: 'Quiles A.  2014. Radiocarbon 56: 833-850. Faigenbaum-Golovin S.  2016.
  PNAS 113: 4670-4675.'
:bibtex_type: :misc

Changelog

Imported from p3k14c via c14bazAAR

XRONOS development team 2022-12-02 00:50:45 UTC