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)
034.672° N, 120.018° W
Coordinates (DMS)
034° 40' 00" W, 120° 01' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (27)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
OS-86232 SHELL Mytilus californianus AMS 1700±25 BP 1692–1536 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
OS-86059 SHELL Marine AMS 2800±25 BP 2960–2850 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
OS-86060 SHELL Marine AMS 2930±30 BP 3168–2967 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
Beta-115556 SHELL NA NA 2980±60 BP 3340–2966 cal BP Amira et al. 2011 Bird et al. 2022
OS-86061 SHELL Marine AMS 3560±25 BP 3958–3728 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
OS-86062 SHELL Marine AMS 4010±25 BP 4522–4420 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
Beta-115558 SHELL Red abalone NA 4010±70 BP 4809–4248 cal BP Erlandson et al. 2015 12000 Years of Human Predation… Bird et al. 2022
Beta-115557 SHELL NA NA 4270±70 BP 5040–4577 cal BP Amira et al. 2011 Bird et al. 2022
D-AMS-32265 SHELL Mytilus californianus AMS 4329±34 BP 4968–4840 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
Beta-115559 SHELL Red abalone NA 4480±60 BP 5311–4884 cal BP Erlandson et al. 2015 12000 Years of Human Predation… Bird et al. 2022
Beta-129100 SHELL Red abalone AMS 4490±60 BP 5314–4887 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
D-AMS-27655 SHELL Ca. mussel AMS 4527±28 BP 5311–5051 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
Beta-136694 SHELL Ca. mussel AMS 4570±70 BP 5465–4983 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
D-AMS-12491 SHELL Ca. mussel AMS 5675±28 BP 6495–6400 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
D-AMS-27658 SHELL Ca. mussel AMS 5972±29 BP 6885–6740 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
D-AMS-27657 SHELL Ca. mussel AMS 5997±31 BP 6935–6745 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
Beta-129101 SHELL Red abalone AMS 6390±70 BP 7427–7166 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
UCIAMS-206754 TEXTILE Eel grass knot AMS 7280±20 BP 8170–8022 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022
Beta-129099 SHELL marine Olivella bead A1 NA 7300±70 BP 8310–7970 cal BP Rick T. R.L. Vellanoweth and J.M. Erlandson 2005 Bird et al. 2022
D-AMS-27656 SHELL Ca. mussel AMS 7620±35 BP 8513–8367 cal BP Ainis 2019-Reconstructing nearshore and kelp forest habitats… Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Amira et al. 2011,
  
}
@misc{Erlandson et al. 2015 12000 Years of Human Predation…,
  
}
@misc{Rick T. R.L. Vellanoweth and J.M. Erlandson 2005,
  
}
@misc{Ainis 2019-Reconstructing nearshore and kelp forest habitats…,
  
}
@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":"Amira et al. 2011","bibtex_type":"misc"}{"bibtex_key":"Erlandson et al. 2015 12000 Years of Human Predation…","bibtex_type":"misc"}{"bibtex_key":"Rick T. R.L. Vellanoweth and J.M. Erlandson 2005","bibtex_type":"misc"}{"bibtex_key":"Ainis 2019-Reconstructing nearshore and kelp forest habitats…","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: Amira et al. 2011
:bibtex_type: :misc
---
:bibtex_key: Erlandson et al. 2015 12000 Years of Human Predation…
:bibtex_type: :misc
---
:bibtex_key: Rick T. R.L. Vellanoweth and J.M. Erlandson 2005
:bibtex_type: :misc
---
:bibtex_key: Ainis 2019-Reconstructing nearshore and kelp forest habitats…
: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