Minanha – XRONOS

Site types

Settlement, site core, and

Location

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

Lab ID	Context	Material	Taxon	Method	Uncalibrated age	Calibrated age	References
Beta-281082	3A-F/4	NA	NA	AMS	2010±40 BP	2049–1830 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-281100	112-B/1	NA	NA	AMS	1990±40 BP	2038–1825 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-254852	99U-B/1	NA	NA	AMS	1780±40 BP	1743–1548 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-254850	Group MRS4, tamped earth floor	NA	NA	AMS	1770±50 BP	1780–1538 cal BP	Lamoureux-St-Hilaire et al. 2015: Table 1
Beta-281104	172 AQ-B/1	NA	NA	AMS	1650±40 BP	1689–1411 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-299547	AP-B/1 Individual 2	NA	NA	AMS	1600±30 BP	1531–1410 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-254846	177S-B/1	NA	NA	AMS	1590±40 BP	1535–1389 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-281089	53-B/2	NA	NA	AMS	1570±40 BP	1532–1375 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-281096	77S-B/2 Individual 5	NA	NA	AMS	1540±40 BP	1521–1350 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-254844	96U-B/1	NA	NA	AMS	1530±40 BP	1520–1317 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-254847	77S-B/2 Individual 1	NA	NA	AMS	1520±40 BP	1518–1311 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-281093	77S-B/2 Individual 2	NA	NA	AMS	1490±40 BP	1509–1300 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-281094	77S-B/2 Individual 3	NA	NA	AMS	1490±40 BP	1509–1300 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-281080	MRS15-M2-B/1	NA	NA	AMS	1460±40 BP	1395–1298 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-281095	77S-B/2 Individual 4	NA	NA	AMS	1460±40 BP	1395–1298 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-299546	AP-B/1 Individual 1	NA	NA	AMS	1410±30 BP	1350–1289 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-281085	37J-1, Level 3a	NA	NA	AMS	1410±40 BP	1375–1280 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-281091	77S-B/1 Individual 3	NA	NA	AMS	1270±40 BP	1289–1074 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-281086	38J-2, Level 1f	NA	NA	AMS	1250±40 BP	1278–1072 cal BP	Stronge 2012: Table 2.1; Williams et al. 2017
Beta-254851	Structure 77S, Intrusive Burial	NA	NA	AMS	1200±40 BP	1264–978 cal BP	Lamoureux-St-Hilaire et al. 2015: Table 1

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [Puchol 2016]
No bibliographic information available. [Stronge 2012: Table 2.1; Williams et al. 2017]
No bibliographic information available. [Lamoureux-St-Hilaire et al. 2015: Table 1]
No bibliographic information available. [Guapindaia V. L. C. and Fonseca Jr. J. A. 2013 Boletim Goeldi:659]
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]
https://core.tdar.org/dataset/467840/mesorad-v14 [MesoRAD]

@misc{Puchol 2016,
  
}
@misc{Stronge 2012: Table 2.1; Williams et al. 2017,
  
}
@misc{Lamoureux-St-Hilaire et al. 2015: Table 1,
  
}
@misc{Guapindaia V. L. C. and Fonseca Jr. J. A. 2013 Boletim Goeldi:659,
  
}
@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}
}
@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}
}

{"bibtex_key":"Puchol 2016","bibtex_type":"misc"}{"bibtex_key":"Stronge 2012: Table 2.1; Williams et al. 2017","bibtex_type":"misc"}{"bibtex_key":"Lamoureux-St-Hilaire et al. 2015: Table 1","bibtex_type":"misc"}{"bibtex_key":"Guapindaia V. L. C. and Fonseca Jr. J. A. 2013 Boletim Goeldi:659","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":"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: Puchol 2016
:bibtex_type: :misc
---
:bibtex_key: 'Stronge 2012: Table 2.1; Williams et al. 2017'
:bibtex_type: :misc
---
:bibtex_key: 'Lamoureux-St-Hilaire et al. 2015: Table 1'
:bibtex_type: :misc
---
:bibtex_key: Guapindaia V. L. C. and Fonseca Jr. J. A. 2013 Boletim Goeldi:659
: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: 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}"

Changelog

Updated.

XRONOS user #10002 2024-01-22 10:11:43 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 (66)

Typological dates (0)

Bibliographic references

Changelog

Updated.

Imported from source database via c14bazAAR