Lv-1641
Radiocarbon date from
Trou Walou,
c. 41845–35208 cal BP
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
Contributors: XRONOS development team
Measurement
- Age (uncal BP)
- 33830
- Error (±)
- 1790
- Lab
- NA
- Method
- NA
- Sample material
- bear bone from C1-3
- Sample taxon
- NA
Calibration
- Calibration curve
- IntCal20 (Reimer et al. 2020)
- Calibrated age (2σ, cal BP)
-
- 41845–35208
Context
- Site
- Trou Walou
- Context
- Sample position
- NA
- Sample coordinates
- NA
Bibliographic references (18)
- 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]
- 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. [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:]
- No bibliographic information available. [Gilot 1997; Dewez 1986; Gilot 1993a]
- No bibliographic information available. [Gilot 1997]
- 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{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,
}
@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{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:,
}
@misc{Gilot 1997; Dewez 1986; Gilot 1993a,
}
@misc{Gilot 1997,
}
@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":"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":"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":"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":"Gilot 1997; Dewez 1986; Gilot 1993a","bibtex_type":"misc"}{"bibtex_key":"Gilot 1997","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: '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: 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: '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: Gilot 1997; Dewez 1986; Gilot 1993a
:bibtex_type: :misc
---
:bibtex_key: Gilot 1997
: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