Site type

Location

Coordinates (degrees)
007.240° N, 058.730° W
Coordinates (DMS)
007° 14' 00" W, 058° 43' 00" N
Country (ISO 3166)
Guyana (GY)

radiocarbon date Radiocarbon dates (4)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
SI-7019 Shell mound. Charcoal NA NA 4890±75 BP Roosevelt 1995
Beta-32188 plant NA NA 5340±100 BP Goldberg_2016 Bird et al. 2022
SI-7019 plant NA NA 4890±75 BP Williams D. (2004). Prehistoric Guiana. Kingston Jamaica: Ian Randle. Bird et al. 2022
SI-7020 plant NA NA 4215±70 BP Boyce and Frye 1986 Bird et al. 2022

typological date Typological dates (1)

Classification Estimated age References
Unclassified NA Roosevelt 1995

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Roosevelt 1995]
  • No bibliographic information available. [Goldberg_2016]
  • No bibliographic information available. [Williams D. (2004). Prehistoric Guiana. Kingston Jamaica: Ian Randle.]
  • No bibliographic information available. [Boyce and Frye 1986]
  • https://github.com/jgregoriods/rxpand [rxpand]
  • 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{Roosevelt 1995,
  
}
@misc{Goldberg_2016,
  
}
@misc{Williams D. (2004). Prehistoric Guiana. Kingston Jamaica: Ian Randle.,
  
}
@misc{Boyce and Frye 1986,
  
}
@misc{rxpand,
  url = {https://github.com/jgregoriods/rxpand},
  note = {de Souza, Jonas Gregorio. 2021. rxpand: Radiocarbon dates for the spread of farming and ceramics in tropical South America. https://github.com/jgregoriods/rxpand}
}
@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":"Roosevelt 1995","bibtex_type":"misc"}{"bibtex_key":"Goldberg_2016","bibtex_type":"misc"}{"bibtex_key":"Williams D. (2004). Prehistoric Guiana. Kingston Jamaica: Ian Randle.","bibtex_type":"misc"}{"bibtex_key":"Boyce and Frye 1986","bibtex_type":"misc"}[{"bibtex_key":"rxpand","bibtex_type":"misc","url":"{https://github.com/jgregoriods/rxpand}","note":"{de Souza, Jonas Gregorio. 2021. rxpand: Radiocarbon dates for the spread of farming and ceramics in tropical South America. https://github.com/jgregoriods/rxpand}"}][{"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: Roosevelt 1995
:bibtex_type: :misc
---
:bibtex_key: Goldberg_2016
:bibtex_type: :misc
---
:bibtex_key: 'Williams D. (2004). Prehistoric Guiana. Kingston Jamaica: Ian Randle.'
:bibtex_type: :misc
---
:bibtex_key: Boyce and Frye 1986
:bibtex_type: :misc
---
- :bibtex_key: rxpand
  :bibtex_type: :misc
  :url: "{https://github.com/jgregoriods/rxpand}"
  :note: "{de Souza, Jonas Gregorio. 2021. rxpand: Radiocarbon dates for the spread
    of farming and ceramics in tropical South America. https://github.com/jgregoriods/rxpand}"
---
- :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

Country code:
NA → GY