Site type

Location

100 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
045.984° N, 018.468° E
Coordinates (DMS)
045° 59' 00" E, 018° 28' 00" N
Country (ISO 3166)
Hungary (HU)

radiocarbon date Radiocarbon dates (41)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
MAMS-14808 bone NA NA 6079±33 BP 7151–6802 cal BP Jakucs et al. 2016 Bird et al. 2022
MAMS-14809 bone NA NA 6267±33 BP 7264–7075 cal BP Jakucs et al. 2016 Bird et al. 2022
MAMS-14810 bone NA NA 6224±29 BP 7248–7013 cal BP Jakucs et al. 2016 Bird et al. 2022
MAMS-14811 bone NA NA 6362±33 BP 7417–7171 cal BP Jakucs et al. 2016 Bird et al. 2022
MAMS-14812 bone NA NA 6220±29 BP 7247–7010 cal BP Oross et al. 2016 Bird et al. 2022
OxA-28930 bone NA NA 6260±32 BP 7262–7028 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-28931 bone NA NA 6309±32 BP 7280–7162 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-28932 bone NA NA 6297±31 BP 7265–7163 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-28933 bone NA NA 6118±31 BP 7157–6895 cal BP Oross et al. 2016 Bird et al. 2022
OxA-29050 bone NA NA 6264±34 BP 7264–7028 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-29051 bone NA NA 6320±30 BP 7310–7165 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-29052 bone NA NA 6273±31 BP 7260–7160 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-29053 bone NA NA 6329±31 BP 7316–7166 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-29054 bone NA NA 6314±33 BP 7306–7164 cal BP Oross et al. 2016 Bird et al. 2022
OxA-30513 bone NA NA 6250±32 BP 7258–7023 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-30514 bone NA NA 6350±32 BP 7413–7168 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-30515 bone NA NA 6339±34 BP 7410–7166 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-30516 bone NA NA 6168±33 BP 7162–6977 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-30517 bone NA NA 6332±33 BP 7320–7166 cal BP Jakucs et al. 2016 Bird et al. 2022
OxA-30518 bone NA NA 6239±34 BP 7255–7015 cal BP Jakucs et al. 2016 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Jakucs et al. 2016]
  • No bibliographic information available. [Oross et al. 2016]
  • No bibliographic information available. [Silva_VanderLinden_2017]
  • 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] 
@misc{Jakucs et al. 2016,
  
}
@misc{Oross et al. 2016,
  
}
@misc{Silva_VanderLinden_2017,
  
}
@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":"Jakucs et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Oross et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Silva_VanderLinden_2017","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: Jakucs et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Oross et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Silva_VanderLinden_2017
: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