Site type

Location

Coordinates (degrees)
035.766° N, 139.451° E
Coordinates (DMS)
035° 45' 00" E, 139° 27' 00" N
Country (ISO 3166)
Japan (JP)

radiocarbon date Radiocarbon dates (69)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-193771 Pottery Food Residue NA NA 3860±40 BP Cremaetal2016 Bird et al. 2022
Beta-201262 Seed/Nut NA NA 4330±40 BP Cremaetal2016 Bird et al. 2022
Beta-201263 Seed/Nut NA NA 4110±40 BP Cremaetal2016 Bird et al. 2022
Beta-201264 Seed/Nut NA NA 4210±40 BP Cremaetal2016 Bird et al. 2022
Beta-201265 Seed/Nut NA NA 4380±40 BP Cremaetal2016 Bird et al. 2022
Beta-201266 Seed/Nut NA NA 4440±40 BP Cremaetal2016 Bird et al. 2022
Beta-211229 Pottery Food Residue NA NA 3630±40 BP Cremaetal2016 Bird et al. 2022
Beta-211440 Lacquer NA NA 3060±40 BP Cremaetal2016 Bird et al. 2022
Beta-216226 Wood NA NA 3580±40 BP Cremaetal2016 Bird et al. 2022
Beta-216227 Wood NA NA 3380±40 BP Cremaetal2016 Bird et al. 2022
Beta-216230 Others NA NA 3260±40 BP Cremaetal2016 Bird et al. 2022
Beta-216231 Seed/Nut NA NA 3760±40 BP Cremaetal2016 Bird et al. 2022
Beta-216232 Wood NA NA 3050±40 BP Cremaetal2016 Bird et al. 2022
Beta-216233 Seed/Nut NA NA 3800±40 BP Cremaetal2016 Bird et al. 2022
MTC-04599 Lacquer NA NA 3710±35 BP Cremaetal2016 Bird et al. 2022
MTC-04600 Lacquer NA NA 3230±35 BP Cremaetal2016 Bird et al. 2022
MTC-04602 Pottery Food Residue NA NA 3140±35 BP Cremaetal2016 Bird et al. 2022
MTC-04603 Pottery Food Residue NA NA 3260±35 BP Cremaetal2016 Bird et al. 2022
MTC-05835 Seed/Nut NA NA 4110±40 BP Cremaetal2016 Bird et al. 2022
MTC-05836 Seed/Nut NA NA 4070±45 BP Cremaetal2016 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Cremaetal2016,
  
}
@misc{Buvit I.  QI 2011. Kuzmin. 2014.Radiocarbon 56: 717-722. Kuzmin Y.V. 2003. The Review of Archaeology 24: 37-45. Kuzmin YK. Documenta Praehistorica XLII (2015)  H. Sato D. Natsuki / Quaternary International 441 (2017) 12-28,
  
}
@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":"Cremaetal2016","bibtex_type":"misc"}{"bibtex_key":"Buvit I.  QI 2011. Kuzmin. 2014.Radiocarbon 56: 717-722. Kuzmin Y.V. 2003. The Review of Archaeology 24: 37-45. Kuzmin YK. Documenta Praehistorica XLII (2015)  H. Sato D. Natsuki / Quaternary International 441 (2017) 12-28","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: Cremaetal2016
:bibtex_type: :misc
---
:bibtex_key: 'Buvit I.  QI 2011. Kuzmin. 2014.Radiocarbon 56: 717-722. Kuzmin Y.V.
  2003. The Review of Archaeology 24: 37-45. Kuzmin YK. Documenta Praehistorica XLII
  (2015)  H. Sato D. Natsuki / Quaternary International 441 (2017) 12-28'
: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