Ortvale Klde – XRONOS

Location

Coordinates (degrees): 042.334° N, 043.247° E
Coordinates (DMS): 042° 20' 00" E, 043° 14' 00" N
Country (ISO 3166 ): Georgia (GE)

Lab ID	Material	Taxon	Method	Uncalibrated age	References
RTT-4212	charcoal	NA	NA	34300±650 BP	Adler D.S. 2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833. Bird et al. 2022
RTT-4213	charcoal	NA	NA	34600±600 BP	Adler D.S. 2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833. Bird et al. 2022
RTT-3826b	bone Coelodonta antiquitatis Linty	NA	NA	37770±1000 BP	Panagopoulou 2002-2004. JFA 29: 323-349. Higham T. 2014. Nature 512: 306-309. Bird et al. 2022
RTT-4725	bone Coelodonta antiquitatis Linty	NA	NA	38100±935 BP	Adler D.S. 2008. JHE 55: 817-833. Bird et al. 2022
OxA-22133	antler	NA	NA	38500±1000 BP	Aubry T 2012. JHE 62: 116-137. Thomsen K.J. 2016. QG 31: 77-96. Bird et al. 2022
RTT-3826a	bone Coelodonta antiquitatis Linty	NA	NA	39280±1200 BP	Adler D.S. 2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833. Bird et al. 2022
AA-45867	charcoal	NA	NA	47600±3200 BP	Adler D.S. 2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833. Bird et al. 2022

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [Adler D.S. 2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833.]
No bibliographic information available. [Adler D.S. 2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833. R. Pinhasi / Journal of Human Evolution 63 (2012) 770-780]
No bibliographic information available. [Adler D.S. 2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833.]
No bibliographic information available. [Aubry T 2012. JHE 62: 116-137. Thomsen K.J. 2016. QG 31: 77-96.]
No bibliographic information available. [Panagopoulou 2002-2004. JFA 29: 323-349. Higham T. 2014. Nature 512: 306-309.]
No bibliographic information available. [Boaretto et al.2009]
No bibliographic information available. [Adler D.S. 2008. JHE 55: 817-833.]
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{Adler D.S.  2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833.,
  
}
@misc{Adler D.S.  2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833. R. Pinhasi  / Journal of Human Evolution 63 (2012) 770-780,
  
}
@misc{Adler D.S.  2006. Current Anthropology 47: 89-118.  Adler D.S. 2008. JHE 55: 817-833.,
  
}
@misc{Aubry T 2012. JHE 62: 116-137. Thomsen K.J.  2016. QG 31: 77-96.,
  
}
@misc{Panagopoulou  2002-2004. JFA 29: 323-349. Higham T.  2014. Nature 512: 306-309.,
  
}
@misc{Boaretto et al.2009,
  
}
@misc{Adler D.S. 2008. JHE 55: 817-833.,
  
}
@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":"Adler D.S.  2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833.","bibtex_type":"misc"}{"bibtex_key":"Adler D.S.  2006. Current Anthropology 47: 89-118. Adler D.S. 2008. JHE 55: 817-833. R. Pinhasi  / Journal of Human Evolution 63 (2012) 770-780","bibtex_type":"misc"}{"bibtex_key":"Adler D.S.  2006. Current Anthropology 47: 89-118.  Adler D.S. 2008. JHE 55: 817-833.","bibtex_type":"misc"}{"bibtex_key":"Aubry T 2012. JHE 62: 116-137. Thomsen K.J.  2016. QG 31: 77-96.","bibtex_type":"misc"}{"bibtex_key":"Panagopoulou  2002-2004. JFA 29: 323-349. Higham T.  2014. Nature 512: 306-309.","bibtex_type":"misc"}{"bibtex_key":"Boaretto et al.2009","bibtex_type":"misc"}{"bibtex_key":"Adler D.S. 2008. JHE 55: 817-833.","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: 'Adler D.S.  2006. Current Anthropology 47: 89-118. Adler D.S. 2008.
  JHE 55: 817-833.'
:bibtex_type: :misc
---
:bibtex_key: 'Adler D.S.  2006. Current Anthropology 47: 89-118. Adler D.S. 2008.
  JHE 55: 817-833. R. Pinhasi  / Journal of Human Evolution 63 (2012) 770-780'
:bibtex_type: :misc
---
:bibtex_key: 'Adler D.S.  2006. Current Anthropology 47: 89-118.  Adler D.S. 2008.
  JHE 55: 817-833.'
:bibtex_type: :misc
---
:bibtex_key: 'Aubry T 2012. JHE 62: 116-137. Thomsen K.J.  2016. QG 31: 77-96.'
:bibtex_type: :misc
---
:bibtex_key: 'Panagopoulou  2002-2004. JFA 29: 323-349. Higham T.  2014. Nature 512:
  306-309.'
:bibtex_type: :misc
---
:bibtex_key: Boaretto et al.2009
:bibtex_type: :misc
---
:bibtex_key: 'Adler D.S. 2008. JHE 55: 817-833.'
: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}"

Changelog

Imported from source database via c14bazAAR

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

Location

Radiocarbon dates (27)

Typological dates (0)

Bibliographic references

Changelog

Imported from source database via c14bazAAR