Lamanai – XRONOS

Site types

Site core and

Location

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

Lab ID	Material	Taxon	Method	Uncalibrated age	Calibrated age	References
OxA-18015 (11)	Charcoal	NA	NA	1206±26 BP	1242–1062 cal BP	Hanna 2015 Bird et al. 2022
OxA-18016 (12)	Charcoal	NA	NA	1260±26 BP	1280–1123 cal BP	Hanna 2015 Bird et al. 2022
OxA-18017 (13)	Charcoal	NA	NA	1275±26 BP	1284–1131 cal BP	Hanna 2015 Bird et al. 2022
OxA-18018 (14)	Charcoal	NA	NA	1331±27 BP	1299–1160 cal BP	Hanna 2015 Bird et al. 2022
OxA-18019 (14)	Charcoal	NA	NA	1282±26 BP	1280–1178 cal BP	MesoRAD2020 Bird et al. 2022
OxA-18020 (15)	Charcoal	NA	NA	1240±26 BP	1269–1072 cal BP	Hanna 2015 Bird et al. 2022
OxA-18021 (16)	Charred maize kernels and cobs	NA	NA	856±25 BP	792–690 cal BP	Hanna 2015 Bird et al. 2022
OxA-18022 (18)	Charcoal	NA	NA	950±25 BP	919–792 cal BP	Forenbaher 2013 Bird et al. 2022

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [Hanna et al. 2016]
No bibliographic information available. [Hanna 2015]
No bibliographic information available. [Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b]
No bibliographic information available. [Mellars and Tixier 1989]
No bibliographic information available. [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.]
No bibliographic information available. [MesoRAD2020]
No bibliographic information available. [Forenbaher 2013]
https://core.tdar.org/dataset/467840/mesorad-v14 [MesoRAD]
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{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

Updated.

XRONOS user #10002 2024-01-22 10:10:27 UTC

Country code:

NA → BZ

Imported from source database via c14bazAAR

XRONOS development team 2022-12-02 00:50:45 UTC

Location

Linked Data

Radiocarbon dates (68)

Typological dates (0)

Bibliographic references

Changelog

Updated.

Imported from source database via c14bazAAR