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
MTC-06385 Wood NA NA 2980±40 BP Cremaetal2016 Bird et al. 2022
MTC-06386 Wood NA NA 3935±40 BP Cremaetal2016 Bird et al. 2022
MTC-06387 Wood NA NA 4555±40 BP Cremaetal2016 Bird et al. 2022
MTC-06388 Wood NA NA 4550±40 BP Cremaetal2016 Bird et al. 2022
MTC-06391 Wood NA NA 3975±35 BP Cremaetal2016 Bird et al. 2022
MTC-06392 Wood NA NA 3745±35 BP Cremaetal2016 Bird et al. 2022
MTC-06717 Pottery Food Residue NA NA 3870±60 BP Cremaetal2016 Bird et al. 2022
MTC-06720 Wood NA NA 3905±30 BP Cremaetal2016 Bird et al. 2022
MTC-06722 Wood NA NA 3725±40 BP Cremaetal2016 Bird et al. 2022
MTC-06723 Wood NA NA 3420±30 BP Cremaetal2016 Bird et al. 2022
MTC-06725 Wood NA NA 3640±30 BP Cremaetal2016 Bird et al. 2022
MTC-06727 Wood NA NA 3405±30 BP Cremaetal2016 Bird et al. 2022
MTC-06728 Wood NA NA 3620±50 BP Cremaetal2016 Bird et al. 2022
MTC-06729 Wood NA NA 3600±30 BP Cremaetal2016 Bird et al. 2022
MTC-06730 Wood NA NA 3375±35 BP Cremaetal2016 Bird et al. 2022
MTC-06731 Wood NA NA 3485±30 BP Cremaetal2016 Bird et al. 2022
MTC-06732 Wood NA NA 4050±30 BP Cremaetal2016 Bird et al. 2022
MTC-07156 Wood NA NA 3610±25 BP Cremaetal2016 Bird et al. 2022
MTC-07157 Wood NA NA 3395±30 BP Cremaetal2016 Bird et al. 2022
MTC-07159 Others NA NA 3420±30 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