Lv-1592

Radiocarbon date from Trou Walou

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): 29470
Error (±): 640
Lab: NA
Method: NA
Sample material: bone
Sample taxon: NA

Calibration

Calibration curve: IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, BP): 35151 - 32145

Context

Site: Trou Walou
Context
Sample position: NA
Sample coordinates: NA

Bibliographic references (18)

No bibliographic information available. [Otte M. & Miller R. 1999. Chronologie palÔøΩolithique du Benelux: phase rÔøΩcente (40-10000 BP). In: European Late Pleistocene Isotope Stages 2 and 3: humans their ecology & cultural adaptations Eraul 90:]
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. [Gilot 1993]
No bibliographic information available. [Djindjian et al. 1999]
No bibliographic information available. [Djindjian et al. 2003]
No bibliographic information available. [Gilot 1971]
No bibliographic information available. [Lanting and van der Plicht 1996]
No bibliographic information available. [Roodenberg & Schier 2001]
No bibliographic information available. [van Willigen 2006]
No bibliographic information available. [Gilot 1997; Dewez 1986; Gilot 1993a]
No bibliographic information available. [Gilot 1997]
No bibliographic information available. [Draily C. 1985. Notae Praehistoricae 18: 25-32. Dewez M. 2008. BAR IS 1789.. Higham T. 2014. Nature 512: 306-309. Toussaint M. Am J Phys Anthropol. 2017;164:193-202]
No bibliographic information available. [Gilot et al. 1965: 121; Cahen/Moeyersons 1977: 813 Tab. 1; van Noten 1982]
No bibliographic information available. [Gilot E. 1997. Studia Praehistorica Belgica 7.]
No bibliographic information available. [Otte M. & Miller R. 1999. Chronologie palÔøΩolithique du Benelux: phase rÔøΩcente (40-10000 BP). In: European Late Pleistocene Isotope Stages 2 and 3: humans their ecology & cultural adaptations Eraul 90: 81-95. Draily C. 2011.La grote Walou]
No bibliographic information available. [Moga 2008]
No bibliographic information available. [Peltenburg 1988 13]
No bibliographic information available. [.Toussaint M. Am J Phys Anthropol. 2017;164:193-202]

@misc{Otte M. & Miller R. 1999. Chronologie palÔøΩolithique du Benelux: phase rÔøΩcente (40-10000 BP). In: European Late Pleistocene Isotope Stages 2 and 3: humans their ecology & cultural adaptations Eraul 90:,
  
}
@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{Gilot 1993,
  
}
@misc{Djindjian et al. 1999,
  
}
@misc{Djindjian et al. 2003,
  
}
@misc{Gilot 1971,
  
}
@misc{Lanting and van der Plicht 1996,
  
}
@misc{Roodenberg & Schier 2001,
  
}
@misc{van Willigen 2006,
  
}
@misc{Gilot 1997; Dewez 1986; Gilot 1993a,
  
}
@misc{Gilot 1997,
  
}
@misc{Draily C. 1985. Notae Praehistoricae 18: 25-32. Dewez M. 2008. BAR IS 1789.. Higham T.  2014. Nature 512: 306-309. Toussaint M.  Am J  Phys Anthropol. 2017;164:193-202,
  
}
@misc{Gilot et al. 1965: 121; Cahen/Moeyersons 1977: 813 Tab. 1; van Noten 1982,
  
}
@misc{Gilot E. 1997. Studia Praehistorica Belgica 7.,
  
}
@misc{Otte M. & Miller R. 1999. Chronologie palÔøΩolithique du Benelux: phase rÔøΩcente (40-10000 BP). In: European Late Pleistocene Isotope Stages 2 and 3: humans their ecology & cultural adaptations Eraul 90: 81-95. Draily C.  2011.La grote Walou,
  
}
@misc{Moga 2008,
  
}
@misc{Peltenburg 1988 13,
  
}
@misc{.Toussaint M.  Am J  Phys Anthropol. 2017;164:193-202,
  
}

{"bibtex_key":"Otte M. & Miller R. 1999. Chronologie palÔøΩolithique du Benelux: phase rÔøΩcente (40-10000 BP). In: European Late Pleistocene Isotope Stages 2 and 3: humans their ecology & cultural adaptations Eraul 90:","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":"Gilot 1993","bibtex_type":"misc"}{"bibtex_key":"Djindjian et al. 1999","bibtex_type":"misc"}{"bibtex_key":"Djindjian et al. 2003","bibtex_type":"misc"}{"bibtex_key":"Gilot 1971","bibtex_type":"misc"}{"bibtex_key":"Lanting and van der Plicht 1996","bibtex_type":"misc"}{"bibtex_key":"Roodenberg & Schier 2001","bibtex_type":"misc"}{"bibtex_key":"van Willigen 2006","bibtex_type":"misc"}{"bibtex_key":"Gilot 1997; Dewez 1986; Gilot 1993a","bibtex_type":"misc"}{"bibtex_key":"Gilot 1997","bibtex_type":"misc"}{"bibtex_key":"Draily C. 1985. Notae Praehistoricae 18: 25-32. Dewez M. 2008. BAR IS 1789.. Higham T.  2014. Nature 512: 306-309. Toussaint M.  Am J  Phys Anthropol. 2017;164:193-202","bibtex_type":"misc"}{"bibtex_key":"Gilot et al. 1965: 121; Cahen/Moeyersons 1977: 813 Tab. 1; van Noten 1982","bibtex_type":"misc"}{"bibtex_key":"Gilot E. 1997. Studia Praehistorica Belgica 7.","bibtex_type":"misc"}{"bibtex_key":"Otte M. & Miller R. 1999. Chronologie palÔøΩolithique du Benelux: phase rÔøΩcente (40-10000 BP). In: European Late Pleistocene Isotope Stages 2 and 3: humans their ecology & cultural adaptations Eraul 90: 81-95. Draily C.  2011.La grote Walou","bibtex_type":"misc"}{"bibtex_key":"Moga 2008","bibtex_type":"misc"}{"bibtex_key":"Peltenburg 1988 13","bibtex_type":"misc"}{"bibtex_key":".Toussaint M.  Am J  Phys Anthropol. 2017;164:193-202","bibtex_type":"misc"}

---
:bibtex_key: 'Otte M. & Miller R. 1999. Chronologie palÔøΩolithique du Benelux: phase
  rÔøΩcente (40-10000 BP). In: European Late Pleistocene Isotope Stages 2 and 3: humans
  their ecology & cultural adaptations Eraul 90:'
: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: Gilot 1993
:bibtex_type: :misc
---
:bibtex_key: Djindjian et al. 1999
:bibtex_type: :misc
---
:bibtex_key: Djindjian et al. 2003
:bibtex_type: :misc
---
:bibtex_key: Gilot 1971
:bibtex_type: :misc
---
:bibtex_key: Lanting and van der Plicht 1996
:bibtex_type: :misc
---
:bibtex_key: Roodenberg & Schier 2001
:bibtex_type: :misc
---
:bibtex_key: van Willigen 2006
:bibtex_type: :misc
---
:bibtex_key: Gilot 1997; Dewez 1986; Gilot 1993a
:bibtex_type: :misc
---
:bibtex_key: Gilot 1997
:bibtex_type: :misc
---
:bibtex_key: 'Draily C. 1985. Notae Praehistoricae 18: 25-32. Dewez M. 2008. BAR IS
  1789.. Higham T.  2014. Nature 512: 306-309. Toussaint M.  Am J  Phys Anthropol.
  2017;164:193-202'
:bibtex_type: :misc
---
:bibtex_key: 'Gilot et al. 1965: 121; Cahen/Moeyersons 1977: 813 Tab. 1; van Noten
  1982'
:bibtex_type: :misc
---
:bibtex_key: Gilot E. 1997. Studia Praehistorica Belgica 7.
:bibtex_type: :misc
---
:bibtex_key: 'Otte M. & Miller R. 1999. Chronologie palÔøΩolithique du Benelux: phase
  rÔøΩcente (40-10000 BP). In: European Late Pleistocene Isotope Stages 2 and 3: humans
  their ecology & cultural adaptations Eraul 90: 81-95. Draily C.  2011.La grote Walou'
:bibtex_type: :misc
---
:bibtex_key: Moga 2008
:bibtex_type: :misc
---
:bibtex_key: Peltenburg 1988 13
:bibtex_type: :misc
---
:bibtex_key: ".Toussaint M.  Am J  Phys Anthropol. 2017;164:193-202"
:bibtex_type: :misc

Changelog

Imported from p3k14c via c14bazAAR

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