Site types
Site core and

Location

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

radiocarbon date Radiocarbon dates (68)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GX-4665 Charcoal NA NA 1710±125 BP 1880–1349 cal BP Hanna 2015 Bird et al. 2022
GX-4666 Charcoal NA NA 810±130 BP 960–540 cal BP Hanna 2015 Bird et al. 2022
GX-4667 Charcoal NA NA 1510±130 BP 1704–1176 cal BP Hanna 2015 Bird et al. 2022
GX-4668 Charcoal NA NA 910±125 BP 1172–567 cal BP Hanna 2015 Bird et al. 2022
GX-4669 Charcoal NA NA 1175±125 BP 1305–796 cal BP Hanna 2015 Bird et al. 2022
GX-4670 Charcoal NA NA 1045±120 BP 1262–723 cal BP Hanna 2015 Bird et al. 2022
GX-4671 Charcoal NA NA 1595±130 BP 1817–1277 cal BP Hanna 2015 Bird et al. 2022
GX-4672 Charcoal NA NA 1495±130 BP 1699–1129 cal BP Hanna 2015 Bird et al. 2022
GX-4673 Charcoal NA NA 1385±185 BP 1700–921 cal BP Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b Bird et al. 2022
OxA-17968 (1) Charcoal NA NA 1050±24 BP 1049–920 cal BP Hanna 2015 Bird et al. 2022
OxA-17969 (2) Charcoal NA NA 1312±25 BP 1293–1163 cal BP Mellars and Tixier 1989 Bird et al. 2022
OxA-17970 (3) Charcoal NA NA 1409±25 BP 1346–1292 cal BP Hanna 2015 Bird et al. 2022
OxA-17971 (4) Charcoal NA NA 1423±25 BP 1350–1295 cal BP Hanna 2015 Bird et al. 2022
OxA-17972 (5) Charcoal NA NA 1367±26 BP 1340–1191 cal BP Hanna 2015 Bird et al. 2022
OxA-17973 (6) Charcoal NA NA 1280±24 BP 1280–1177 cal BP Hanna 2015 Bird et al. 2022
OxA-17974 (7) Charcoal NA NA 1304±25 BP 1290–1163 cal BP Hanna 2015 Bird et al. 2022
OxA-17975 (8) Charcoal NA NA 1297±25 BP 1287–1176 cal BP Hanna 2015 Bird et al. 2022
OxA-17976 (9) Charcoal NA NA 1284±25 BP 1280–1178 cal BP Semal P. 2008American Journal of Physical Anthropology 138: 421-428 Crevecoeur I 2010. JHE 59: 641-656. Germonpr M. 2014. Quaternary Ineternational 337: 28-42. Bird et al. 2022
OxA-17985 (3) Charcoal NA NA 1402±25 BP 1345–1290 cal BP MesoRAD2020 Bird et al. 2022
OxA-18014 (10) Charcoal NA NA 1282±26 BP 1280–1178 cal BP Hanna 2015 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Hanna et al. 2016,
  
}
@misc{Hanna 2015,
  
}
@misc{Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b,
  
}
@misc{Mellars and Tixier 1989,
  
}
@misc{Semal P. 2008American Journal of Physical Anthropology 138: 421-428 Crevecoeur I  2010. JHE 59: 641-656. Germonpr M. 2014. Quaternary Ineternational 337: 28-42.,
  
}
@misc{MesoRAD2020,
  
}
@misc{Forenbaher 2013,
  
}
@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":"Hanna et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Hanna 2015","bibtex_type":"misc"}{"bibtex_key":"Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b","bibtex_type":"misc"}{"bibtex_key":"Mellars and Tixier 1989","bibtex_type":"misc"}{"bibtex_key":"Semal P. 2008American Journal of Physical Anthropology 138: 421-428 Crevecoeur I  2010. JHE 59: 641-656. Germonpr M. 2014. Quaternary Ineternational 337: 28-42.","bibtex_type":"misc"}{"bibtex_key":"MesoRAD2020","bibtex_type":"misc"}{"bibtex_key":"Forenbaher 2013","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: Hanna et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Hanna 2015
:bibtex_type: :misc
---
:bibtex_key: Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989;
  Zoltai 1989a 1989b
:bibtex_type: :misc
---
:bibtex_key: Mellars and Tixier 1989
:bibtex_type: :misc
---
:bibtex_key: 'Semal P. 2008American Journal of Physical Anthropology 138: 421-428
  Crevecoeur I  2010. JHE 59: 641-656. Germonpr M. 2014. Quaternary Ineternational
  337: 28-42.'
:bibtex_type: :misc
---
:bibtex_key: MesoRAD2020
:bibtex_type: :misc
---
:bibtex_key: Forenbaher 2013
: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