Site type

Location

Coordinates (degrees)
055.757° N, 129.755° W
Coordinates (DMS)
055° 45' 00" W, 129° 45' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (52)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
OS-108831 mussel NA NA 935±25 BP 915–787 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108832 mussel NA NA 1160±25 BP 1213–972 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108833 clam NA NA 2380±30 BP 2607–2342 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108834 mussel NA NA 3370±35 BP 3692–3489 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108838 mussel NA NA 2460±25 BP 2704–2367 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108925 mussel NA NA 4320±30 BP 4960–4839 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108926 mussel NA NA 4600±30 BP 5450–5141 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108927 mussel NA NA 3140±30 BP 3447–3256 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108928 mussel NA NA 3180±30 BP 3451–3365 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108929 clam NA NA 3090±20 BP 3365–3243 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108930 mussel NA NA 3360±25 BP 3685–3492 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108962 mussel NA NA 3500±30 BP 3845–3691 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108963 mussel NA NA 3540±25 BP 3894–3722 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108964 mussel NA NA 3620±25 BP 3984–3848 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108965 mussel NA NA 2120±25 BP 2285–2001 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108966 mussel NA NA 2020±25 BP 2001–1888 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108967 mussel NA NA 3460±25 BP 3828–3641 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108968 mussel NA NA 4570±25 BP 5437–5066 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108969 clam NA NA 2350±25 BP 2427–2333 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022
OS-108970 clam NA NA 2910±25 BP 3147–2963 cal BP Ongoing PRH research project (see Ames and Martindale 2014) Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Ongoing PRH research project (see Ames and Martindale 2014),
  
}
@misc{Chisholm 1986;  Wilmeth 1978a;  Kigoshi et al. 1973;  MacDonald and Inglis 1981;  Lowdon et al. 1972;  MacDonald 1969,
  
}
@misc{Ames 2005.;  Inglis 1972-4;  MacDonald 1971-6,
  
}
@misc{Wilmeth 1978; Rutherford et al. 1979; Morrison 1989; Schledermann 1975 1979,
  
}
@misc{CARD,
  
}
@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":"Ongoing PRH research project (see Ames and Martindale 2014)","bibtex_type":"misc"}{"bibtex_key":"Chisholm 1986;  Wilmeth 1978a;  Kigoshi et al. 1973;  MacDonald and Inglis 1981;  Lowdon et al. 1972;  MacDonald 1969","bibtex_type":"misc"}{"bibtex_key":"Ames 2005.;  Inglis 1972-4;  MacDonald 1971-6","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Rutherford et al. 1979; Morrison 1989; Schledermann 1975 1979","bibtex_type":"misc"}{"bibtex_key":"CARD","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: Ongoing PRH research project (see Ames and Martindale 2014)
:bibtex_type: :misc
---
:bibtex_key: Chisholm 1986;  Wilmeth 1978a;  Kigoshi et al. 1973;  MacDonald and Inglis
  1981;  Lowdon et al. 1972;  MacDonald 1969
:bibtex_type: :misc
---
:bibtex_key: Ames 2005.;  Inglis 1972-4;  MacDonald 1971-6
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Rutherford et al. 1979; Morrison 1989; Schledermann 1975
  1979
:bibtex_type: :misc
---
:bibtex_key: CARD
: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