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-05837 Seed/Nut NA NA 4515±45 BP Cremaetal2016 Bird et al. 2022
MTC-05838 Seed/Nut NA NA 4475±45 BP Cremaetal2016 Bird et al. 2022
MTC-05839 Seed/Nut NA NA 4155±45 BP Cremaetal2016 Bird et al. 2022
MTC-05840 Seed/Nut NA NA 4475±45 BP Cremaetal2016 Bird et al. 2022
MTC-05841 Seed/Nut NA NA 4420±45 BP Cremaetal2016 Bird et al. 2022
MTC-05842 Seed/Nut NA NA 4175±40 BP Cremaetal2016 Bird et al. 2022
MTC-05843 Seed/Nut NA NA 3485±45 BP Cremaetal2016 Bird et al. 2022
MTC-05844 Seed/Nut NA NA 3480±45 BP Cremaetal2016 Bird et al. 2022
MTC-05845 Seed/Nut NA NA 2955±40 BP Cremaetal2016 Bird et al. 2022
MTC-05847 Seed/Nut NA NA 3315±40 BP 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 Bird et al. 2022
MTC-06216 Pottery Food Residue NA NA 3740±35 BP Cremaetal2016 Bird et al. 2022
MTC-06217 Pottery Food Residue NA NA 3735±40 BP Cremaetal2016 Bird et al. 2022
MTC-06218 Pottery Food Residue NA NA 3345±40 BP Cremaetal2016 Bird et al. 2022
MTC-06219 Pottery Food Residue NA NA 3470±40 BP Cremaetal2016 Bird et al. 2022
MTC-06220 Pottery Food Residue NA NA 3525±35 BP Cremaetal2016 Bird et al. 2022
MTC-06221 Pottery Food Residue NA NA 3890±35 BP Cremaetal2016 Bird et al. 2022
MTC-06224 Pottery Food Residue NA NA 3395±35 BP Cremaetal2016 Bird et al. 2022
MTC-06376 Seed/Nut NA NA 3420±35 BP Cremaetal2016 Bird et al. 2022
MTC-06380 Seed/Nut NA NA 3335±35 BP Cremaetal2016 Bird et al. 2022
MTC-06384 Wood NA NA 3050±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