Beidha – XRONOS

Site types

Plein air, settlement, southern jordan, and

Location

Coordinates (degrees): 030.371° N, 035.448° E
Coordinates (DMS): 030° 22' 00" E, 035° 26' 00" N
Country (ISO 3166): Jordan (JO)

Lab ID	Material	Taxon	Method	Uncalibrated age	Calibrated age	References
AA-13035	seed/fruit	Pistacia	14C	6535±70 BP	7570–7316 cal BP	Byrd 2005:26 Weninger 2022
AA-13036	seed/fruit	Pistacia	14C	8830±70 BP	10179–9629 cal BP	Byrd 2005:26 Weninger 2022
AA-13037	legume	NA	14C	7720±130 BP	8983–8216 cal BP	Byrd 2005:26 Weninger 2022
AA-13038	legume	NA	14C	8765±80 BP	10143–9546 cal BP	Byrd 2005:26 Weninger 2022
AA-14109		NA	14C	8646±69 BP	9890–9493 cal BP	Byrd 2005:26 Weninger 2022
AA-1461	charcoal	NA	14C	8390±390 BP	10275–8400 cal BP	Byrd 1988a, Byrd 1989b, Byrd 1994, Schyle 1996 Weninger 2022
AA-1462	charcoal	NA	14C	10910±520 BP	13802–11240 cal BP	Byrd 1988a, Byrd 1989b, Byrd 1994, Schyle 1996 Weninger 2022
Beta-235216	charcoal	NA	14C	9110±50 BP	10406–10194 cal BP	PPND, CONTEXT, CalPal Weninger 2022
BM-111	charcoal	NA	14C	8790±200 BP	10371–9429 cal BP	Kirkbride 1966a, Barker and Mackey 1968, Weinstein 1984 Weninger 2022
GrN-5062	charcoal	Juniperus	14C	9030±50 BP	10255–9961 cal BP	Vogel and Waterbolk 1972, 50 Weninger 2022
GrN-5063	charcoal	Pistacia	14C	8860±50 BP	10175–9755 cal BP	Vogel and Waterbolk 1972, 50 Weninger 2022
GrN-5136	charcoal	Pistacia	14C	8810±50 BP	10151–9670 cal BP	Vogel and Waterbolk 1972, 50 Weninger 2022
K-1082	charcoal	Pistacia	14C	8710±120 BP	10155–9500 cal BP	Tauber 1968, 324 Weninger 2022
K-1083	charcoal	Pistacia	14C	8640±160 BP	10180–9315 cal BP	Tauber 1968, 324 Weninger 2022
K-1084	charcoal	Juniperus	14C	8730±160 BP	10195–9483 cal BP	Tauber 1968, 324 Weninger 2022
K-1085	charcoal	Juniperus	14C	8550±160 BP	10123–9131 cal BP	Kirkbride 1967, 12 Weninger 2022
K-1086	charcoal	Quercus	14C	8940±160 BP	10405–9550 cal BP	Tauber 1968, 323 Weninger 2022
K-1410	charcoal	NA	14C	8850±100 BP	10197–9560 cal BP	Stuckenrath and Lawn 1969, Bar-Yosef 1981b Weninger 2022
K-1411	charcoal	NA	14C	8770±150 BP	10200–9532 cal BP	Vogel and Waterbolk 1972, Bar-Yosef 1981b Weninger 2022
K-1412	charcoal	NA	14C	8720±150 BP	10182–9488 cal BP	Bar-Yosef 1981b, Weinstein 1984 Weninger 2022

Classification	Estimated age	References
EP	NA	Byrd 1988a, Byrd 1989b, Byrd 1994, Schyle 1996
EP	NA	Byrd 1988a, Byrd 1989b, Byrd 1994, Schyle 1996
Epipalaeolithic	NA	Byrd 1988a, Byrd 1989b, Byrd 1994, Schyle 1996
Epipalaeolithic	NA	Byrd 1988a, Byrd 1989b, Byrd 1994, Schyle 1996
Late Natufian	NA	NA
Late Natufian	NA	NA
Natufian	NA	NA
Natufian	NA	NA
Natufian	NA	NA
Natufian	NA	NA
Natufian	NA	NA
Neolithic	NA	Byrd 2005:26
Neolithic	NA	Tauber 1968, 323
Neolithic	NA	Kirkbride 1966a, Barker and Mackey 1968, Weinstein 1984
Neolithic	NA	Kirkbride 1967, 12
Neolithic	NA	Tauber 1968, 324
Neolithic	NA	Tauber 1968, 324
Neolithic	NA	Byrd 2005:26
Neolithic	NA	Tauber 1968, 324
Neolithic	NA	Vogel and Waterbolk 1972, 50

Bibliographic references

No bibliographic information available. [Byrd 2005:26]
No bibliographic information available. [Byrd 1988a, Byrd 1989b, Byrd 1994, Schyle 1996]
No bibliographic information available. [PPND, CONTEXT, CalPal]
No bibliographic information available. [Kirkbride 1966a, Barker and Mackey 1968, Weinstein 1984]
No bibliographic information available. [Vogel and Waterbolk 1972, 50]
No bibliographic information available. [Tauber 1968, 324]
No bibliographic information available. [Kirkbride 1967, 12]
No bibliographic information available. [Tauber 1968, 323]
No bibliographic information available. [Stuckenrath and Lawn 1969, Bar-Yosef 1981b]
No bibliographic information available. [Vogel and Waterbolk 1972, Bar-Yosef 1981b]
No bibliographic information available. [Bar-Yosef 1981b, Weinstein 1984]
No bibliographic information available. [Stuckenrath and Lawn 1969, 152]
No bibliographic information available. [Stuckenrath and Lawn 1969, 153]
No bibliographic information available. [Stuckenrath and Lawn 1969, Weinstein 1984]
No bibliographic information available. [Kirkbride 1967, Tauber 1968, Weinstein 1984]
No bibliographic information available. [Tauber 1968, Weinstein 1984]
No bibliographic information available. [Vogel and Waterbolk 1972, Weinstein 1984]
No bibliographic information available. [Barker and Mackey 1968, Tauber 1968]
No bibliographic information available. [Byrd 2005; Benz 2014; Flohr et al. 2016]
No bibliographic information available. [Byrd 2005; Benz 2014; CalPal; Flohr et al. 2016]
No bibliographic information available. [Byrd 1994; Benz 2014; Maher et al. 2011]
No bibliographic information available. [Rambeau et al. 2011; Benz 2014]
No bibliographic information available. [Rambeau et al. 2011; Benz 2014; Flohr et al. 2016]
No bibliographic information available. [Weinstein 1994; Byrd 2005; Benz 2014; Flohr et al. 2016]
No bibliographic information available. [Vogel and Waterbolk 1972; Byrd 2005; Benz 2014; Flohr et al. 2016]
No bibliographic information available. [Vogel and Waterbolk 1972; Weinstein 1984; Benz 2014;Flohr et al. 2016]
No bibliographic information available. [Vogel and Waterbolk 1972; Byrd 2005; Benz 2014; CalPal; Flohr et al. 2016]
No bibliographic information available. [Tauber 1968; Rambeau 2011; Benz 2014; Flohr et al. 2016]
No bibliographic information available. [Weinstein 1984; Benz 2014; CalPal; Flohr et al. 2016]
No bibliographic information available. [Tauber 1968; Weinstein 1984; CalPal; Flohr et al. 2016]
No bibliographic information available. [Kirkbride 1967; Tauber 1968; Flohr et al. 2016]
No bibliographic information available. [Kirkbride 1967; Benz 2014; Flohr et al. 2016]
No bibliographic information available. [Stuckenrath and Lawn 1969; Bar-Yosef 1981; CalPal; Flohr et al. 2016]
No bibliographic information available. [Vogel and Waterbolk 1972;Byrd 2005; Benz 2014; CalPal; Flohr et al. 2016]
No bibliographic information available. [Bar-Yosef 1981; CalPal; Flohr et al. 2016]
No bibliographic information available. [Stuckenrath and Lawn 1969; Weinstein 1984; CalPal; Flohr et al. 2016]
No bibliographic information available. [base ASPRO]
No bibliographic information available. [Byrd 1988a Byrd 1989b Byrd 1994 Schyle 1996]
No bibliographic information available. [Kirkbride 1966a Barker and Mackey 1968 Weinstein 1984]
No bibliographic information available. [PPND; Rambeau et al. 2011]
No bibliographic information available. [Vogel and Waterbolk 1972 50]
No bibliographic information available. [Tauber 1968 324]
No bibliographic information available. [Kirkbride 1967 12]
No bibliographic information available. [Tauber 1968 323]
No bibliographic information available. [Stuckenrath and Lawn 1969 Bar-Yosef 1981b]
No bibliographic information available. [Vogel and Waterbolk 1972 Bar-Yosef 1981b]
No bibliographic information available. [Bar-Yosef 1981b Weinstein 1984]
No bibliographic information available. [Stuckenrath and Lawn 1969 152]
No bibliographic information available. [Stuckenrath and Lawn 1969 153]
Weninger, B. (2022). CalPal Edition 2022.9. Zenodo. https://doi.org/1010.5281/zenodo.7422618 [CalPal2022]
http://context-database.uni-koeln.de/index.php [CONTEXT]
Palmisano, A., Bevan, A., Lawrence, D., & Shennan, S. (2022). The NERD Dataset: Near East Radiocarbon Dates between 15,000 and 1,500 Cal. Yr. BP. 10(0), 2. https://doi.org/10.5334/joad.90 [NERD]
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]

@misc{Byrd 2005:26,
  
}
@misc{Byrd 1988a, Byrd 1989b, Byrd 1994, Schyle 1996,
  
}
@misc{PPND, CONTEXT, CalPal,
  
}
@misc{Kirkbride 1966a, Barker and Mackey 1968, Weinstein 1984,
  
}
@misc{Vogel and Waterbolk 1972, 50,
  
}
@misc{Tauber 1968, 324,
  
}
@misc{Kirkbride 1967, 12,
  
}
@misc{Tauber 1968, 323,
  
}
@misc{Stuckenrath and Lawn 1969, Bar-Yosef 1981b,
  
}
@misc{Vogel and Waterbolk 1972, Bar-Yosef 1981b,
  
}
@misc{Bar-Yosef 1981b, Weinstein 1984,
  
}
@misc{Stuckenrath and Lawn 1969, 152,
  
}
@misc{Stuckenrath and Lawn 1969, 153,
  
}
@misc{Stuckenrath and Lawn 1969, Weinstein 1984,
  
}
@misc{Kirkbride 1967, Tauber 1968, Weinstein 1984,
  
}
@misc{Tauber 1968, Weinstein 1984,
  
}
@misc{Vogel and Waterbolk 1972, Weinstein 1984,
  
}
@misc{Barker and Mackey 1968, Tauber 1968,
  
}
@misc{Byrd 2005; Benz 2014; Flohr et al. 2016,
  
}
@misc{Byrd 2005; Benz 2014; CalPal; Flohr et al. 2016,
  
}
@misc{Byrd 1994; Benz 2014; Maher et al. 2011,
  
}
@misc{Rambeau et al. 2011; Benz 2014,
  
}
@misc{Rambeau et al. 2011; Benz 2014; Flohr et al. 2016,
  
}
@misc{Weinstein 1994; Byrd 2005; Benz 2014; Flohr et al. 2016,
  
}
@misc{Vogel and Waterbolk 1972; Byrd 2005; Benz 2014; Flohr et al. 2016,
  
}
@misc{Vogel and Waterbolk 1972; Weinstein 1984; Benz 2014;Flohr et al. 2016,
  
}
@misc{Vogel and Waterbolk 1972; Byrd 2005; Benz 2014; CalPal; Flohr et al. 2016,
  
}
@misc{Tauber 1968; Rambeau 2011; Benz 2014; Flohr et al. 2016,
  
}
@misc{Weinstein 1984; Benz 2014; CalPal; Flohr et al. 2016,
  
}
@misc{Tauber 1968; Weinstein 1984; CalPal; Flohr et al. 2016,
  
}
@misc{Kirkbride 1967; Tauber 1968; Flohr et al. 2016,
  
}
@misc{Kirkbride 1967; Benz 2014; Flohr et al. 2016,
  
}
@misc{Stuckenrath and Lawn 1969; Bar-Yosef 1981; CalPal; Flohr et al. 2016,
  
}
@misc{Vogel and Waterbolk 1972;Byrd 2005; Benz 2014; CalPal; Flohr et al. 2016,
  
}
@misc{Bar-Yosef 1981; CalPal; Flohr et al. 2016,
  
}
@misc{Stuckenrath and Lawn 1969; Weinstein 1984; CalPal; Flohr et al. 2016,
  
}
@misc{base ASPRO,
  
}
@misc{Byrd 1988a Byrd 1989b Byrd 1994 Schyle 1996,
  
}
@misc{Kirkbride 1966a Barker and Mackey 1968 Weinstein 1984,
  
}
@misc{PPND; Rambeau et al. 2011,
  
}
@misc{Vogel and Waterbolk 1972 50,
  
}
@misc{Tauber 1968 324,
  
}
@misc{Kirkbride 1967 12,
  
}
@misc{Tauber 1968 323,
  
}
@misc{Stuckenrath and Lawn 1969 Bar-Yosef 1981b,
  
}
@misc{Vogel and Waterbolk 1972 Bar-Yosef 1981b,
  
}
@misc{Bar-Yosef 1981b Weinstein 1984,
  
}
@misc{Stuckenrath and Lawn 1969 152,
  
}
@misc{Stuckenrath and Lawn 1969 153,
  
}
@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}
}
@misc{CONTEXT,
  url = {http://context-database.uni-koeln.de/index.php},
  note = {Schyle, D. & Böhner, U. 2006. Near Eastern radiocarbon CONTEXT database. https://doi.org/10.1594/GFZ.CONTEXT.ED1}
}
@article{NERD,
  title = {The NERD Dataset: Near East Radiocarbon Dates between 15,000 and 1,500 Cal. Yr. BP},
  shorttitle = {The NERD Dataset},
  author = {Palmisano, Alessio and Bevan, Andrew and Lawrence, Dan and Shennan, Stephen},
  date = {2022-02-22},
  volume = {10},
  number = {0},
  pages = {2},
  publisher = {Ubiquity Press},
  issn = {2049-1565},
  doi = {10.5334/joad.90},
  url = {https://openarchaeologydata.metajnl.com/articles/10.5334/joad.90},
  urldate = {2023-09-07},
  abstract = {To our knowledge, the dataset described in this paper represents the largest existing repository of uncalibrated radiocarbon dates for the whole Near East from the Late Pleistocene to the Late Holocene (15,000 – 1,500 cal. yr. BP). It is composed of 11,027 radiocarbon dates from 1,023 sites that have been collected comprehensively by cross-checking multiple sources (extant digital archives and databases, edited volumes, monographs, journals papers, archaeological excavation reports, etc.) under the umbrella of the Leverhulme Trust funded project “Changing the Face of the Mediterranean” and of the ERC project “CLASS – Climate, Landscape, Settlement and Society: Exploring Human-Environment Interaction in the Ancient Near East”. This is an ongoing dataset that will be updated step by step with newly published radiocarbon dates.},
  issue = {0},
  langid = {american},
  file = {/home/joeroe/g/work/library/2022/Palmisano_et_al_2022.pdf}
}
@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}
}

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Near Eastern radiocarbon CONTEXT database. https://doi.org/10.1594/GFZ.CONTEXT.ED1}"}][{"bibtex_key":"NERD","bibtex_type":"article","title":"{The NERD Dataset: Near East Radiocarbon Dates between 15,000 and 1,500 Cal. Yr. BP}","shorttitle":"{The NERD Dataset}","author":"{Palmisano, Alessio and Bevan, Andrew and Lawrence, Dan and Shennan, Stephen}","date":"{2022-02-22}","volume":"{10}","number":"{0}","pages":"{2}","publisher":"{Ubiquity Press}","issn":"{2049-1565}","doi":"{10.5334/joad.90}","url":"{https://openarchaeologydata.metajnl.com/articles/10.5334/joad.90}","urldate":"{2023-09-07}","abstract":"{To our knowledge, the dataset described in this paper represents the largest existing repository of uncalibrated radiocarbon dates for the whole Near East from the Late Pleistocene to the Late Holocene (15,000 – 1,500 cal. yr. BP). It is composed of 11,027 radiocarbon dates from 1,023 sites that have been collected comprehensively by cross-checking multiple sources (extant digital archives and databases, edited volumes, monographs, journals papers, archaeological excavation reports, etc.) under the umbrella of the Leverhulme Trust funded project “Changing the Face of the Mediterranean” and of the ERC project “CLASS – Climate, Landscape, Settlement and Society: Exploring Human-Environment Interaction in the Ancient Near East”. 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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: Byrd 2005:26
:bibtex_type: :misc
---
:bibtex_key: Byrd 1988a, Byrd 1989b, Byrd 1994, Schyle 1996
:bibtex_type: :misc
---
:bibtex_key: PPND, CONTEXT, CalPal
:bibtex_type: :misc
---
:bibtex_key: Kirkbride 1966a, Barker and Mackey 1968, Weinstein 1984
:bibtex_type: :misc
---
:bibtex_key: Vogel and Waterbolk 1972, 50
:bibtex_type: :misc
---
:bibtex_key: Tauber 1968, 324
:bibtex_type: :misc
---
:bibtex_key: Kirkbride 1967, 12
:bibtex_type: :misc
---
:bibtex_key: Tauber 1968, 323
:bibtex_type: :misc
---
:bibtex_key: Stuckenrath and Lawn 1969, Bar-Yosef 1981b
:bibtex_type: :misc
---
:bibtex_key: Vogel and Waterbolk 1972, Bar-Yosef 1981b
:bibtex_type: :misc
---
:bibtex_key: Bar-Yosef 1981b, Weinstein 1984
:bibtex_type: :misc
---
:bibtex_key: Stuckenrath and Lawn 1969, 152
:bibtex_type: :misc
---
:bibtex_key: Stuckenrath and Lawn 1969, 153
:bibtex_type: :misc
---
:bibtex_key: Stuckenrath and Lawn 1969, Weinstein 1984
:bibtex_type: :misc
---
:bibtex_key: Kirkbride 1967, Tauber 1968, Weinstein 1984
:bibtex_type: :misc
---
:bibtex_key: Tauber 1968, Weinstein 1984
:bibtex_type: :misc
---
:bibtex_key: Vogel and Waterbolk 1972, Weinstein 1984
:bibtex_type: :misc
---
:bibtex_key: Barker and Mackey 1968, Tauber 1968
:bibtex_type: :misc
---
:bibtex_key: Byrd 2005; Benz 2014; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Byrd 2005; Benz 2014; CalPal; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Byrd 1994; Benz 2014; Maher et al. 2011
:bibtex_type: :misc
---
:bibtex_key: Rambeau et al. 2011; Benz 2014
:bibtex_type: :misc
---
:bibtex_key: Rambeau et al. 2011; Benz 2014; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Weinstein 1994; Byrd 2005; Benz 2014; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Vogel and Waterbolk 1972; Byrd 2005; Benz 2014; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Vogel and Waterbolk 1972; Weinstein 1984; Benz 2014;Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Vogel and Waterbolk 1972; Byrd 2005; Benz 2014; CalPal; Flohr et al.
  2016
:bibtex_type: :misc
---
:bibtex_key: Tauber 1968; Rambeau 2011; Benz 2014; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Weinstein 1984; Benz 2014; CalPal; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Tauber 1968; Weinstein 1984; CalPal; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Kirkbride 1967; Tauber 1968; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Kirkbride 1967; Benz 2014; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Stuckenrath and Lawn 1969; Bar-Yosef 1981; CalPal; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Vogel and Waterbolk 1972;Byrd 2005; Benz 2014; CalPal; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Bar-Yosef 1981; CalPal; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Stuckenrath and Lawn 1969; Weinstein 1984; CalPal; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: base ASPRO
:bibtex_type: :misc
---
:bibtex_key: Byrd 1988a Byrd 1989b Byrd 1994 Schyle 1996
:bibtex_type: :misc
---
:bibtex_key: Kirkbride 1966a Barker and Mackey 1968 Weinstein 1984
:bibtex_type: :misc
---
:bibtex_key: PPND; Rambeau et al. 2011
:bibtex_type: :misc
---
:bibtex_key: Vogel and Waterbolk 1972 50
:bibtex_type: :misc
---
:bibtex_key: Tauber 1968 324
:bibtex_type: :misc
---
:bibtex_key: Kirkbride 1967 12
:bibtex_type: :misc
---
:bibtex_key: Tauber 1968 323
:bibtex_type: :misc
---
:bibtex_key: Stuckenrath and Lawn 1969 Bar-Yosef 1981b
:bibtex_type: :misc
---
:bibtex_key: Vogel and Waterbolk 1972 Bar-Yosef 1981b
:bibtex_type: :misc
---
:bibtex_key: Bar-Yosef 1981b Weinstein 1984
:bibtex_type: :misc
---
:bibtex_key: Stuckenrath and Lawn 1969 152
:bibtex_type: :misc
---
:bibtex_key: Stuckenrath and Lawn 1969 153
: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: CONTEXT
  :bibtex_type: :misc
  :url: "{http://context-database.uni-koeln.de/index.php}"
  :note: "{Schyle, D. & Böhner, U. 2006. Near Eastern radiocarbon CONTEXT database.
    https://doi.org/10.1594/GFZ.CONTEXT.ED1}"
---
- :bibtex_key: NERD
  :bibtex_type: :article
  :title: "{The NERD Dataset: Near East Radiocarbon Dates between 15,000 and 1,500
    Cal. Yr. BP}"
  :shorttitle: "{The NERD Dataset}"
  :author: "{Palmisano, Alessio and Bevan, Andrew and Lawrence, Dan and Shennan, Stephen}"
  :date: "{2022-02-22}"
  :volume: "{10}"
  :number: "{0}"
  :pages: "{2}"
  :publisher: "{Ubiquity Press}"
  :issn: "{2049-1565}"
  :doi: "{10.5334/joad.90}"
  :url: "{https://openarchaeologydata.metajnl.com/articles/10.5334/joad.90}"
  :urldate: "{2023-09-07}"
  :abstract: "{To our knowledge, the dataset described in this paper represents the
    largest existing repository of uncalibrated radiocarbon dates for the whole Near
    East from the Late Pleistocene to the Late Holocene (15,000 – 1,500 cal. yr. BP).
    It is composed of 11,027 radiocarbon dates from 1,023 sites that have been collected
    comprehensively by cross-checking multiple sources (extant digital archives and
    databases, edited volumes, monographs, journals papers, archaeological excavation
    reports, etc.) under the umbrella of the Leverhulme Trust funded project “Changing
    the Face of the Mediterranean” and of the ERC project “CLASS – Climate, Landscape,
    Settlement and Society: Exploring Human-Environment Interaction in the Ancient
    Near East”. This is an ongoing dataset that will be updated step by step with
    newly published radiocarbon dates.}"
  :issue: "{0}"
  :langid: "{american}"
  :file: "{/home/joeroe/g/work/library/2022/Palmisano_et_al_2022.pdf}"
---
- :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}"

Changelog

Imported from source database via c14bazAAR

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

Location

Linked Data

Radiocarbon dates (119)

Typological dates (125)

Bibliographic references

Changelog

Imported from source database via c14bazAAR