Site type

Location

Coordinates (degrees)
037.421° N, 122.331° W
Coordinates (DMS)
037° 25' 00" W, 122° 19' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (11)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
I-7591 NA SHELL marine Ostrea lurida NA 3050±85 BP 3446–3000 cal BP Price Carol A. 1982 Bird et al. 2022
I-7592 NA SHELL marine Ostrea lurida NA 3265±85 BP 3697–3260 cal BP Price Carol A. 1982 Bird et al. 2022
L-187A NA CHARCOAL NA NA 2965±350 BP 4071–2184 cal BP Gerow Force 1968 Bird et al. 2022
L-187B NA CHARCOAL NA NA 3415±300 BP 4514–2887 cal BP Gerow Force 1968 Bird et al. 2022
UCR-1552 NA SHELL marine Ostrea lurida NA 2790±130 BP 3335–2541 cal BP Breschini Gary S. Trudy Haversat and Jon Erlandson 1996 Bird et al. 2022
UCR-954 NA SHELL marine or Charcoalà NA 3200±170 BP 3834–2964 cal BP Taylor 1980 Bird et al. 2022
UCR-956 NA CHARCOAL NA NA 2715±150 BP 3209–2370 cal BP Gerow Force 1968 Bird et al. 2022
UCR-957 NA CHARCOAL NA NA 2645±150 BP 3141–2348 cal BP Gerow Force 1968 Bird et al. 2022
UCR-958 NA SHELL marine Ostrea lurida NA 2560±150 BP 3000–2181 cal BP Breschini Gary S. Trudy Haversat and Jon Erlandson 1996 Bird et al. 2022
UCR-960 NA CHARCOAL or shellà NA 3075±160 BP 3635–2855 cal BP Taylor 1980 Bird et al. 2022
UCR-961 NA SHELL marine Ostrea lurida NA 3460±150 BP 4146–3380 cal BP Breschini Gary S. Trudy Haversat and Jon Erlandson 1996 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Breschini Gary S. Trudy Haversat and Jon Erlandson 1996]
  • No bibliographic information available. [Price Carol A. 1982]
  • No bibliographic information available. [Gerow Force 1968]
  • No bibliographic information available. [Taylor 1980]
  • 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{Breschini Gary S. Trudy Haversat and Jon Erlandson 1996,
  
}
@misc{Price Carol A. 1982,
  
}
@misc{Gerow Force 1968,
  
}
@misc{Taylor 1980,
  
}
@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":"Breschini Gary S. Trudy Haversat and Jon Erlandson 1996","bibtex_type":"misc"}{"bibtex_key":"Price Carol A. 1982","bibtex_type":"misc"}{"bibtex_key":"Gerow Force 1968","bibtex_type":"misc"}{"bibtex_key":"Taylor 1980","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: Breschini Gary S. Trudy Haversat and Jon Erlandson 1996
:bibtex_type: :misc
---
:bibtex_key: Price Carol A. 1982
:bibtex_type: :misc
---
:bibtex_key: Gerow Force 1968
:bibtex_type: :misc
---
:bibtex_key: Taylor 1980
: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