Site type

Location

Coordinates (degrees)
050.433° N, 007.400° E
Coordinates (DMS)
050° 25' 00" E, 007° 23' 00" N
Country (ISO 3166)
Germany (DE)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GrA-16987 Castor fiber 21/86 scapula collagen NA NA 12050±70 BP 14062–13795 cal BP Renault-Miskovsky J. Leroi-Gourhan Arl. 1981. Bull. AFEQ vol 3-4 : 121-128. Baales M. 2006. L'Anthropologie 110: 418-444. Bird et al. 2022
GrA-16989 bone NA NA 11960±70 BP 14037–13610 cal BP Renault-Miskovsky J. Leroi-Gourhan Arl. 1981. Bull. AFEQ vol 3-4 : 121-128. Baales M. 2006. L'Anthropologie 110: 418-444. Bird et al. 2022
GrA-16990 Artiodactyl bones 25/86 nr 46 from xonx. AN2-East NA NA 11820±70 BP 13796–13510 cal BP Renault-Miskovsky J. Leroi-Gourhan Arl. 1981. Bull. AFEQ vol 3-4 : 121-128. Baales M. 2006. L'Anthropologie 110: 418-444. Bird et al. 2022
GrA-16991 bone NA NA 12040±70 BP 14060–13792 cal BP Baales M. 2006. L'Anthropologie 110: 418-444. Bird et al. 2022
OxA-1924 bone NA NA 11890±120 BP 14040–13505 cal BP Benazzi. S. 2011. doi:10.1038/nature10617. Bird et al. 2022
OxA-984 bone NA NA 11950±250 BP 14835–13309 cal BP Ramsey C.B. 2002. Archaeometry 443: 1-149. Bird et al. 2022
OxA-985 bone Coelodonta antiquitatis Linty NA NA 12300±200 BP 15075–13798 cal BP Vermeersch2019 Bird et al. 2022
OxA-997 bone NA NA 11800±160 BP 14031–13355 cal BP Vermeersch2019 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Renault-Miskovsky J. Leroi-Gourhan Arl. 1981. Bull. AFEQ vol 3-4 : 121-128. Baales M. 2006. L'Anthropologie 110: 418-444.,
  
}
@misc{Baales M. 2006. L'Anthropologie 110: 418-444.,
  
}
@misc{Benazzi. S.  2011. doi:10.1038/nature10617.,
  
}
@misc{Ramsey C.B.  2002. Archaeometry 443: 1-149.,
  
}
@misc{Vermeersch2019,
  
}
@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":"Renault-Miskovsky J. Leroi-Gourhan Arl. 1981. Bull. AFEQ vol 3-4 : 121-128. Baales M. 2006. L'Anthropologie 110: 418-444.","bibtex_type":"misc"}{"bibtex_key":"Baales M. 2006. L'Anthropologie 110: 418-444.","bibtex_type":"misc"}{"bibtex_key":"Benazzi. S.  2011. doi:10.1038/nature10617.","bibtex_type":"misc"}{"bibtex_key":"Ramsey C.B.  2002. Archaeometry 443: 1-149.","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","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: 'Renault-Miskovsky J. Leroi-Gourhan Arl. 1981. Bull. AFEQ vol 3-4 : 121-128.
  Baales M. 2006. L''Anthropologie 110: 418-444.'
:bibtex_type: :misc
---
:bibtex_key: 'Baales M. 2006. L''Anthropologie 110: 418-444.'
:bibtex_type: :misc
---
:bibtex_key: Benazzi. S.  2011. doi:10.1038/nature10617.
:bibtex_type: :misc
---
:bibtex_key: 'Ramsey C.B.  2002. Archaeometry 443: 1-149.'
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
: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}"

Changelog