Site types
Settlement, site core, and

Location

Coordinates (degrees)
NA
Coordinates (DMS)
NA
Country (ISO 3166)
Belize (BZ)

radiocarbon date Radiocarbon dates (162)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
UCIAMS-170056 Figueroa Str. 2 Burial 1 NA AMS 1175±20 BP Ebert et al. 2019
UCIAMS-169811 Plaza B, Lot PL-B-263, Below Fl. 5 NA AMS 205±20 BP Ebert et al. 2017
UCIAMS-166050 Cahal Pech Plaza G, Unit 51, Level 2 NA AMS 190±15 BP Ebert et al. 2019
AA-103355 Human Tooth NA NA 1432±46 BP Novotny 2015 Bird et al. 2022
AA-103356 Human Tooth NA NA 1516±39 BP Novotny 2015 Bird et al. 2022
AA-103357 Human Tooth NA NA 1748±47 BP Novotny 2015 Bird et al. 2022
Beta-40863 Charcoal NA NA 2470±90 BP Awe 1992 Bird et al. 2022
Beta-40864 Charcoal NA NA 2720±60 BP Awe 1992 Bird et al. 2022
Beta-40865 Charcoal NA NA 2740±70 BP Lu 2016 Bird et al. 2022
Beta-56765 Charcoal NA NA 2730±140 BP Dames and Moore 1974 Bird et al. 2022
Beta-77199 Charcoal NA NA 2220±100 BP Healy and Awe 1995 Bird et al. 2022
Beta-77201 Charcoal NA NA 2370±60 BP Healy and Awe 1995 Bird et al. 2022
Beta-77202 Charcoal NA NA 2020±140 BP Healy and Awe 1995 Bird et al. 2022
Beta-77203 Charcoal NA NA 2230±50 BP Healy and Awe 1995 Bird et al. 2022
Beta-77204 Charcoal NA NA 2710±120 BP Healy and Awe 1995 Bird et al. 2022
Beta-77205 Charcoal NA NA 2800±50 BP Healy and Awe 1995 Bird et al. 2022
Beta-77206 Charcoal NA NA 1950±200 BP Healy and Awe 1995 Bird et al. 2022
Beta-77207 Charcoal NA NA 2930±50 BP MesoRAD2020 Bird et al. 2022
UCIAMS-111158 Charcoal NA NA 2830±15 BP Ebert et al. 2017 Bird et al. 2022
UCIAMS-111159 Charcoal NA NA 2505±15 BP Ebert et al. 2017 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Healy and Awe 1995,
  
}
@misc{Ebert et al. 2017,
  
}
@misc{Awe 1992,
  
}
@misc{Ebert et al. 2019,
  
}
@misc{Ebert et al. 2016,
  
}
@misc{Novotny 2015,
  
}
@misc{Novotny et al. 2018,
  
}
@misc{Lu 2016,
  
}
@misc{Dames and Moore 1974,
  
}
@misc{MesoRAD2020,
  
}
@misc{Lohse et al. 2013,
  
}
@misc{Jenkins et al. 2013,
  
}
@misc{Arkush,
  
}
@misc{Fondecyt 1120454,
  
}
@misc{Watson et al 2015,
  
}
@misc{Pardo-GordÔøΩ 2018,
  
}
@misc{MesoRAD,
  url = {https://core.tdar.org/dataset/467840/mesorad-v14},
  note = { Hoggarth, J.A., Ebert, C.E. and Castelazo-Calva, V.E., 2021. MesoRAD: A New Radiocarbon Data Set for Archaeological Research in Mesoamerica. Journal of Open Archaeology Data, 9, p.10. DOI: http://doi.org/10.5334/joad.83}
}
@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":"Healy and Awe 1995","bibtex_type":"misc"}{"bibtex_key":"Ebert et al. 2017","bibtex_type":"misc"}{"bibtex_key":"Awe 1992","bibtex_type":"misc"}{"bibtex_key":"Ebert et al. 2019","bibtex_type":"misc"}{"bibtex_key":"Ebert et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Novotny 2015","bibtex_type":"misc"}{"bibtex_key":"Novotny et al. 2018","bibtex_type":"misc"}{"bibtex_key":"Lu 2016","bibtex_type":"misc"}{"bibtex_key":"Dames and Moore 1974","bibtex_type":"misc"}{"bibtex_key":"MesoRAD2020","bibtex_type":"misc"}{"bibtex_key":"Lohse et al. 2013","bibtex_type":"misc"}{"bibtex_key":"Jenkins et al. 2013","bibtex_type":"misc"}{"bibtex_key":"Arkush","bibtex_type":"misc"}{"bibtex_key":"Fondecyt 1120454","bibtex_type":"misc"}{"bibtex_key":"Watson et al 2015","bibtex_type":"misc"}{"bibtex_key":"Pardo-GordÔøΩ 2018","bibtex_type":"misc"}[{"bibtex_key":"MesoRAD","bibtex_type":"misc","url":"{https://core.tdar.org/dataset/467840/mesorad-v14}","note":"{ Hoggarth, J.A., Ebert, C.E. and Castelazo-Calva, V.E., 2021. MesoRAD: A New Radiocarbon Data Set for Archaeological Research in Mesoamerica. Journal of Open Archaeology Data, 9, p.10. DOI: http://doi.org/10.5334/joad.83}"}][{"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: Healy and Awe 1995
:bibtex_type: :misc
---
:bibtex_key: Ebert et al. 2017
:bibtex_type: :misc
---
:bibtex_key: Awe 1992
:bibtex_type: :misc
---
:bibtex_key: Ebert et al. 2019
:bibtex_type: :misc
---
:bibtex_key: Ebert et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Novotny 2015
:bibtex_type: :misc
---
:bibtex_key: Novotny et al. 2018
:bibtex_type: :misc
---
:bibtex_key: Lu 2016
:bibtex_type: :misc
---
:bibtex_key: Dames and Moore 1974
:bibtex_type: :misc
---
:bibtex_key: MesoRAD2020
:bibtex_type: :misc
---
:bibtex_key: Lohse et al. 2013
:bibtex_type: :misc
---
:bibtex_key: Jenkins et al. 2013
:bibtex_type: :misc
---
:bibtex_key: Arkush
:bibtex_type: :misc
---
:bibtex_key: Fondecyt 1120454
:bibtex_type: :misc
---
:bibtex_key: Watson et al 2015
:bibtex_type: :misc
---
:bibtex_key: Pardo-GordÔøΩ 2018
:bibtex_type: :misc
---
- :bibtex_key: MesoRAD
  :bibtex_type: :misc
  :url: "{https://core.tdar.org/dataset/467840/mesorad-v14}"
  :note: "{ Hoggarth, J.A., Ebert, C.E. and Castelazo-Calva, V.E., 2021. MesoRAD:
    A New Radiocarbon Data Set for Archaeological Research in Mesoamerica. Journal
    of Open Archaeology Data, 9, p.10. DOI: http://doi.org/10.5334/joad.83}"
---
- :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 → BZ