Takarkori
Archaeological site
in Libya
Record created in XRONOS on 2022-12-02 00:50:45 UTC.
Last updated on 2022-12-02 00:50:45 UTC.
See changelog for details.
Contributors: XRONOS development team
Contributors: XRONOS development team
Location
Linked Data
Radiocarbon dates
(123)
| Lab ID | Context | Material | Taxon | Method | Uncalibrated age | Calibrated age | References |
|---|---|---|---|---|---|---|---|
| UGAMS-2852 | NA | NA | 5980±70 BP | 6990–6661 cal BP | PerrinDachy.2020Press Bird et al. 2022 | ||
| UGAMS-8707 | NA | NA | 4970±25 BP | 5740–5602 cal BP | ManningTimpson2014 Bird et al. 2022 | ||
| UGAMS-8708 | NA | NA | 7930±30 BP | 8982–8636 cal BP | Trosper 2011 (Thesis) Bird et al. 2022 |
Typological dates
(86)
Bibliographic references
- Manning, K., Timpson, A., Colledge, S., Crema, E., & Shennan, S. (2015). The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset [Data set]. https://discovery.ucl.ac.uk/id/eprint/1469811/ [EUROEVOL (via CalPal)]
- No bibliographic information available. [Cherkinski et Di Lernia 2013]
- No bibliographic information available. [ManningTimpson2014]
- No bibliographic information available. [Straus L.G. 2006. ERAUL 115: 117-128. Straus L.G. 2007. Radiocarbon 49: 1205-1214.]
- No bibliographic information available. [Straus L.G. 2006. ERAUL 115: 117-128.Straus L.G. 2007. Radiocarbon 49: 1205-1214.]
- No bibliographic information available. [Craig O. 2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S. 2017 QSR ip.]
- No bibliographic information available. [Jung/Weninger 2015 226 Tab. 4]
- No bibliographic information available. [Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400 BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288.]
- No bibliographic information available. [Higham T. 2009. QSR doi:10.1016/j.quascirev.2008.12.018.]
- No bibliographic information available. [Natali 2017]
- No bibliographic information available. [Pearce 2013]
- No bibliographic information available. [Arzigian 2014:135; Aurit 2007:20]
- No bibliographic information available. [Jerardino A. Wiltshire N. Webley L. Tusenius M. Halkett D. Hoffman M.T. and Maggs T. 2014. Site distribution and chronology at Soutpansklipheuwel a rocky outcrop on the West Coast of South Africa.The Journal of Island and Coastal Archaeology9(1) pp.88-110.]
- No bibliographic information available. [PerrinDachy.2020Press]
- No bibliographic information available. [Trosper 2011 (Thesis)]
- Weninger, B. (2022). CalPal Edition 2022.9. Zenodo. https://doi.org/1010.5281/zenodo.7422618 [CalPal2022]
- Perrin, T. (2021). Base de Données Archéologique (BDA) [Data set]. NAKALA. https://doi.org/10.34847/nkl.dde9fnm8 [BDA]
- 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]
@dataset{EUROEVOL,
title = {The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset},
author = {Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan, S.},
date = {2015-07-09},
url = {https://discovery.ucl.ac.uk/id/eprint/1469811/},
urldate = {2023-09-07},
abstract = {This dataset comprises the primary data collected for the Cultural Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan, UCL. The dataset offers the largest repository of archaeological site and radiocarbon data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating between the late Mesolithic and Early Bronze Age, as well as the largest collections of archaeobotanical data (>8300 records for 729 different species, genera and families, and the largest collection of animal bone data with >3 million NISP counts and >36,000 biometrics.},
langid = {english}
}
@misc{Cherkinski et Di Lernia 2013,
}
@misc{ManningTimpson2014,
}
@misc{Straus L.G. 2006. ERAUL 115: 117-128. Straus L.G. 2007. Radiocarbon 49: 1205-1214.,
}
@misc{Straus L.G. 2006. ERAUL 115: 117-128.Straus L.G. 2007. Radiocarbon 49: 1205-1214.,
}
@misc{Craig O. 2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S. 2017 QSR ip.,
}
@misc{Jung/Weninger 2015 226 Tab. 4,
}
@misc{Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400 BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288.,
}
@misc{Higham T. 2009. QSR doi:10.1016/j.quascirev.2008.12.018.,
}
@misc{Natali 2017,
}
@misc{Pearce 2013,
}
@misc{Arzigian 2014:135; Aurit 2007:20,
}
@misc{Jerardino A. Wiltshire N. Webley L. Tusenius M. Halkett D. Hoffman M.T. and Maggs T. 2014. Site distribution and chronology at Soutpansklipheuwel a rocky outcrop on the West Coast of South Africa.The Journal of Island and Coastal Archaeology9(1) pp.88-110.,
}
@misc{PerrinDachy.2020Press,
}
@misc{Trosper 2011 (Thesis),
}
@misc{CalPal,
title = {CalPal Edition 2022.9},
author = {Weninger, Bernie},
year = {2022},
month = {sep},
doi = {1010.5281/zenodo.7422618},
url = {https://zenodo.org/record/7422618},
abstract = {CalPal is scientific freeware for 14C-based chronological research for Holocene and Palaeolithic Archaeology.},
copyright = {Creative Commons Attribution 4.0 International, Open Access},
howpublished = {Zenodo},
month_numeric = {9}
}
@dataset{BDA,
title = {Base de Données Archéologique (BDA)},
author = {Perrin, Thomas},
date = {2021-02-03},
publisher = {NAKALA},
doi = {10.34847/nkl.dde9fnm8},
url = {https://nakala.fr/10.34847/nkl.dde9fnm8},
urldate = {2023-09-07},
abstract = {Exports in .xlsx format of the main tables of the BDA database (Archaeological Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.},
langid = {french}
}
@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":"EUROEVOL","bibtex_type":"dataset","title":"{The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset}","author":"{Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan, S.}","date":"{2015-07-09}","url":"{https://discovery.ucl.ac.uk/id/eprint/1469811/}","urldate":"{2023-09-07}","abstract":"{This dataset comprises the primary data collected for the Cultural Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan, UCL. The dataset offers the largest repository of archaeological site and radiocarbon data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating between the late Mesolithic and Early Bronze Age, as well as the largest collections of archaeobotanical data (>8300 records for 729 different species, genera and families, and the largest collection of animal bone data with >3 million NISP counts and >36,000 biometrics.}","langid":"{english}"}]{"bibtex_key":"Cherkinski et Di Lernia 2013","bibtex_type":"misc"}{"bibtex_key":"ManningTimpson2014","bibtex_type":"misc"}{"bibtex_key":"Straus L.G. 2006. ERAUL 115: 117-128. Straus L.G. 2007. Radiocarbon 49: 1205-1214.","bibtex_type":"misc"}{"bibtex_key":"Straus L.G. 2006. ERAUL 115: 117-128.Straus L.G. 2007. Radiocarbon 49: 1205-1214.","bibtex_type":"misc"}{"bibtex_key":"Craig O. 2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S. 2017 QSR ip.","bibtex_type":"misc"}{"bibtex_key":"Jung/Weninger 2015 226 Tab. 4","bibtex_type":"misc"}{"bibtex_key":"Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400 BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288.","bibtex_type":"misc"}{"bibtex_key":"Higham T. 2009. QSR doi:10.1016/j.quascirev.2008.12.018.","bibtex_type":"misc"}{"bibtex_key":"Natali 2017","bibtex_type":"misc"}{"bibtex_key":"Pearce 2013","bibtex_type":"misc"}{"bibtex_key":"Arzigian 2014:135; Aurit 2007:20","bibtex_type":"misc"}{"bibtex_key":"Jerardino A. Wiltshire N. Webley L. Tusenius M. Halkett D. Hoffman M.T. and Maggs T. 2014. Site distribution and chronology at Soutpansklipheuwel a rocky outcrop on the West Coast of South Africa.The Journal of Island and Coastal Archaeology9(1) pp.88-110.","bibtex_type":"misc"}{"bibtex_key":"PerrinDachy.2020Press","bibtex_type":"misc"}{"bibtex_key":"Trosper 2011 (Thesis)","bibtex_type":"misc"}[{"bibtex_key":"CalPal","bibtex_type":"misc","title":"{CalPal Edition 2022.9}","author":"{Weninger, Bernie}","year":"{2022}","month":"{sep}","doi":"{1010.5281/zenodo.7422618}","url":"{https://zenodo.org/record/7422618}","abstract":"{CalPal is scientific freeware for 14C-based chronological research for Holocene and Palaeolithic Archaeology.}","copyright":"{Creative Commons Attribution 4.0 International, Open Access}","howpublished":"{Zenodo}","month_numeric":"{9}"}][{"bibtex_key":"BDA","bibtex_type":"dataset","title":"{Base de Données Archéologique (BDA)}","author":"{Perrin, Thomas}","date":"{2021-02-03}","publisher":"{NAKALA}","doi":"{10.34847/nkl.dde9fnm8}","url":"{https://nakala.fr/10.34847/nkl.dde9fnm8}","urldate":"{2023-09-07}","abstract":"{Exports in .xlsx format of the main tables of the BDA database (Archaeological Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.}","langid":"{french}"}][{"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: EUROEVOL
:bibtex_type: :dataset
:title: "{The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset}"
:author: "{Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan,
S.}"
:date: "{2015-07-09}"
:url: "{https://discovery.ucl.ac.uk/id/eprint/1469811/}"
:urldate: "{2023-09-07}"
:abstract: "{This dataset comprises the primary data collected for the Cultural
Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan,
UCL. The dataset offers the largest repository of archaeological site and radiocarbon
data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating
between the late Mesolithic and Early Bronze Age, as well as the largest collections
of archaeobotanical data (>8300 records for 729 different species, genera and
families, and the largest collection of animal bone data with >3 million NISP
counts and >36,000 biometrics.}"
:langid: "{english}"
---
:bibtex_key: Cherkinski et Di Lernia 2013
:bibtex_type: :misc
---
:bibtex_key: ManningTimpson2014
:bibtex_type: :misc
---
:bibtex_key: 'Straus L.G. 2006. ERAUL 115: 117-128. Straus L.G. 2007. Radiocarbon
49: 1205-1214.'
:bibtex_type: :misc
---
:bibtex_key: 'Straus L.G. 2006. ERAUL 115: 117-128.Straus L.G. 2007. Radiocarbon
49: 1205-1214.'
:bibtex_type: :misc
---
:bibtex_key: Craig O. 2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S. 2017
QSR ip.
:bibtex_type: :misc
---
:bibtex_key: Jung/Weninger 2015 226 Tab. 4
:bibtex_type: :misc
---
:bibtex_key: Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400
BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288.
:bibtex_type: :misc
---
:bibtex_key: Higham T. 2009. QSR doi:10.1016/j.quascirev.2008.12.018.
:bibtex_type: :misc
---
:bibtex_key: Natali 2017
:bibtex_type: :misc
---
:bibtex_key: Pearce 2013
:bibtex_type: :misc
---
:bibtex_key: Arzigian 2014:135; Aurit 2007:20
:bibtex_type: :misc
---
:bibtex_key: Jerardino A. Wiltshire N. Webley L. Tusenius M. Halkett D. Hoffman M.T.
and Maggs T. 2014. Site distribution and chronology at Soutpansklipheuwel a rocky
outcrop on the West Coast of South Africa.The Journal of Island and Coastal Archaeology9(1)
pp.88-110.
:bibtex_type: :misc
---
:bibtex_key: PerrinDachy.2020Press
:bibtex_type: :misc
---
:bibtex_key: Trosper 2011 (Thesis)
:bibtex_type: :misc
---
- :bibtex_key: CalPal
:bibtex_type: :misc
:title: "{CalPal Edition 2022.9}"
:author: "{Weninger, Bernie}"
:year: "{2022}"
:month: "{sep}"
:doi: "{1010.5281/zenodo.7422618}"
:url: "{https://zenodo.org/record/7422618}"
:abstract: "{CalPal is scientific freeware for 14C-based chronological research
for Holocene and Palaeolithic Archaeology.}"
:copyright: "{Creative Commons Attribution 4.0 International, Open Access}"
:howpublished: "{Zenodo}"
:month_numeric: "{9}"
---
- :bibtex_key: BDA
:bibtex_type: :dataset
:title: "{Base de Données Archéologique (BDA)}"
:author: "{Perrin, Thomas}"
:date: "{2021-02-03}"
:publisher: "{NAKALA}"
:doi: "{10.34847/nkl.dde9fnm8}"
:url: "{https://nakala.fr/10.34847/nkl.dde9fnm8}"
:urldate: "{2023-09-07}"
:abstract: "{Exports in .xlsx format of the main tables of the BDA database (Archaeological
Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.}"
:langid: "{french}"
---
- :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}"