Stonehenge Amesbury

Site type

Location

Coordinates (degrees): 051.179° N, 001.826° W
Coordinates (DMS): 051° 10' 00" W, 001° 49' 00" N
Country (ISO 3166): United Kingdom (GB)

Lab ID	Material	Taxon	Method	Uncalibrated age	Calibrated age	References
BM-1164	antler	NA	NA	3678±68 BP	4231–3836 cal BP	Marshall 2012 Bird et al. 2022
BM-1582	bone	NA	NA	3715±70 BP	4288–3848 cal BP	Marshall 2012 Bird et al. 2022
BM-1583	antler	NA	NA	4410±60 BP	5283–4855 cal BP	British Museum XIV 234 Bird et al. 2022
BM-1617	antler	NA	NA	4390±60 BP	5280–4845 cal BP	British Museum XIV 234 Bird et al. 2022
GU-5109	charcoal	NA	NA	8880±120 BP	10232–9560 cal BP	CBA Radiocarbon Index Bird et al. 2022
HAR-4878	charcoal	NA	NA	3400±150 BP	4084–3270 cal BP	Bevan2017; EUROEVOL; RADON Bird et al. 2022
HAR-4879	charcoal	NA	NA	3400±150 BP	4084–3270 cal BP	Bevan 2017 Bird et al. 2022
I-2328	antler	NA	NA	4130±105 BP	4874–4301 cal BP	Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Buckley Willis 1969 Bird et al. 2022
I-2384	antler	NA	NA	3570±110 BP	4217–3569 cal BP	Ritchie 1969; Bendremer and Dewar 1994; Buckley et al. 1968: 285; Snow 1995; Faunmap 2210 Bird et al. 2022
I-2445	antler	NA	NA	3190±105 BP	3688–3082 cal BP	HAYNES 1967;DAMON ET AL.1964FRISON 1991a Bird et al. 2022
I-3216	bone	NA	NA	2750±100 BP	3167–2710 cal BP	Reber 1965 Bird et al. 2022
OxA-13193	bone	NA	NA	1258±34 BP	1282–1074 cal BP	Bevan 2017 Bird et al. 2022
OxA-18649	tooth	NA	NA	3883±31 BP	4414–4186 cal BP	Bevan 2017 Bird et al. 2022
OxA-18651	charcoal (sapwood)	NA	NA	4360±29 BP	5026–4855 cal BP	Bevan 2017 Bird et al. 2022
OxA-18653	charcoal (sapwood)	NA	NA	321±23 BP	455–309 cal BP	Bevan 2017 Bird et al. 2022
OxA-18655	charcoal	NA	NA	8183±36 BP	9270–9017 cal BP	Bevan 2017 Bird et al. 2022
OxA-18656	charcoal (sapwood)	NA	NA	336±23 BP	467–314 cal BP	Bevan 2017 Bird et al. 2022
OxA-18657	grain (charred)	NA	NA	1134±24 BP	1173–958 cal BP	Bevan 2017 Bird et al. 2022
OxA-18658	charcoal (sapwood)	NA	NA	3847±27 BP	4404–4152 cal BP	Bevan 2017 Bird et al. 2022
OxA-18659	charcoal	NA	NA	4534±35 BP	5315–5050 cal BP	Bevan 2017 Bird et al. 2022

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [Marshall 2012]
No bibliographic information available. [British Museum XIV 234]
No bibliographic information available. [CBA Radiocarbon Index]
No bibliographic information available. [Bevan2017; EUROEVOL; RADON]
Bevan, A. H. (2017). Radiocarbon Dataset and Analysis from Bevan, A., Colledge, S., Fuller, D., Fyfe, R., Shennan, S. and C. Stevens 2017. Holocene Fluctuations in Human Population Demonstrate Repeated Links to Food Production and Climate [Data set]. UCL Institute of Archaeology. https://doi.org/10.14324/000.ds.10025178 [Bevan2017]
No bibliographic information available. [Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Buckley Willis 1969]
No bibliographic information available. [Ritchie 1969; Bendremer and Dewar 1994; Buckley et al. 1968: 285; Snow 1995; Faunmap 2210]
No bibliographic information available. [HAYNES 1967;DAMON ET AL.1964FRISON 1991a]
No bibliographic information available. [Reber 1965]
No bibliographic information available. [DoukaJacobs.2014Chrono]
No bibliographic information available. [Kiel DB 2017]
No bibliographic information available. [Bayliss et al. 2015: Table 1]
No bibliographic information available. [Kiel DB 2019]
No bibliographic information available. [Larsson 2019]
No bibliographic information available. [Chen et al.1992]
No bibliographic information available. [Oxford Datelist]
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{Marshall 2012,
  
}
@misc{British Museum XIV 234,
  
}
@misc{CBA Radiocarbon Index,
  
}
@misc{Bevan2017; EUROEVOL; RADON,
  
}
@dataset{Bevan2017,
  title = {Radiocarbon Dataset and Analysis from Bevan, A., Colledge, S., Fuller, D., Fyfe, R., Shennan, S. and C. Stevens 2017. Holocene Fluctuations in Human Population Demonstrate Repeated Links to Food Production and Climate},
  author = {Bevan, A. H.},
  date = {2017-10-20},
  publisher = {UCL Institute of Archaeology},
  location = {London, UK},
  doi = {10.14324/000.ds.10025178},
  url = {https://discovery.ucl.ac.uk/id/eprint/10025178/},
  urldate = {2023-09-07},
  langid = {english}
}
@misc{Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Buckley Willis 1969,
  
}
@misc{Ritchie 1969; Bendremer and Dewar 1994; Buckley et al. 1968: 285; Snow 1995; Faunmap 2210,
  
}
@misc{HAYNES 1967;DAMON ET AL.1964FRISON 1991a,
  
}
@misc{Reber 1965,
  
}
@misc{DoukaJacobs.2014Chrono,
  
}
@misc{Kiel DB 2017,
  
}
@misc{Bayliss et al. 2015: Table 1,
  
}
@misc{Kiel DB 2019,
  
}
@misc{Larsson 2019,
  
}
@misc{Chen et al.1992,
  
}
@misc{Oxford Datelist,
  
}
@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":"Marshall 2012","bibtex_type":"misc"}{"bibtex_key":"British Museum XIV 234","bibtex_type":"misc"}{"bibtex_key":"CBA Radiocarbon Index","bibtex_type":"misc"}{"bibtex_key":"Bevan2017; EUROEVOL; RADON","bibtex_type":"misc"}[{"bibtex_key":"Bevan2017","bibtex_type":"dataset","title":"{Radiocarbon Dataset and Analysis from Bevan, A., Colledge, S., Fuller, D., Fyfe, R., Shennan, S. and C. Stevens 2017. Holocene Fluctuations in Human Population Demonstrate Repeated Links to Food Production and Climate}","author":"{Bevan, A. H.}","date":"{2017-10-20}","publisher":"{UCL Institute of Archaeology}","location":"{London, UK}","doi":"{10.14324/000.ds.10025178}","url":"{https://discovery.ucl.ac.uk/id/eprint/10025178/}","urldate":"{2023-09-07}","langid":"{english}"}]{"bibtex_key":"Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Buckley Willis 1969","bibtex_type":"misc"}{"bibtex_key":"Ritchie 1969; Bendremer and Dewar 1994; Buckley et al. 1968: 285; Snow 1995; Faunmap 2210","bibtex_type":"misc"}{"bibtex_key":"HAYNES 1967;DAMON ET AL.1964FRISON 1991a","bibtex_type":"misc"}{"bibtex_key":"Reber 1965","bibtex_type":"misc"}{"bibtex_key":"DoukaJacobs.2014Chrono","bibtex_type":"misc"}{"bibtex_key":"Kiel DB 2017","bibtex_type":"misc"}{"bibtex_key":"Bayliss et al. 2015: Table 1","bibtex_type":"misc"}{"bibtex_key":"Kiel DB 2019","bibtex_type":"misc"}{"bibtex_key":"Larsson 2019","bibtex_type":"misc"}{"bibtex_key":"Chen et al.1992","bibtex_type":"misc"}{"bibtex_key":"Oxford Datelist","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: Marshall 2012
:bibtex_type: :misc
---
:bibtex_key: British Museum XIV 234
:bibtex_type: :misc
---
:bibtex_key: CBA Radiocarbon Index
:bibtex_type: :misc
---
:bibtex_key: Bevan2017; EUROEVOL; RADON
:bibtex_type: :misc
---
- :bibtex_key: Bevan2017
  :bibtex_type: :dataset
  :title: "{Radiocarbon Dataset and Analysis from Bevan, A., Colledge, S., Fuller,
    D., Fyfe, R., Shennan, S. and C. Stevens 2017. Holocene Fluctuations in Human
    Population Demonstrate Repeated Links to Food Production and Climate}"
  :author: "{Bevan, A. H.}"
  :date: "{2017-10-20}"
  :publisher: "{UCL Institute of Archaeology}"
  :location: "{London, UK}"
  :doi: "{10.14324/000.ds.10025178}"
  :url: "{https://discovery.ucl.ac.uk/id/eprint/10025178/}"
  :urldate: "{2023-09-07}"
  :langid: "{english}"
---
:bibtex_key: Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Buckley Willis
  1969
:bibtex_type: :misc
---
:bibtex_key: 'Ritchie 1969; Bendremer and Dewar 1994; Buckley et al. 1968: 285; Snow
  1995; Faunmap 2210'
:bibtex_type: :misc
---
:bibtex_key: HAYNES 1967;DAMON ET AL.1964FRISON 1991a
:bibtex_type: :misc
---
:bibtex_key: Reber 1965
:bibtex_type: :misc
---
:bibtex_key: DoukaJacobs.2014Chrono
:bibtex_type: :misc
---
:bibtex_key: Kiel DB 2017
:bibtex_type: :misc
---
:bibtex_key: 'Bayliss et al. 2015: Table 1'
:bibtex_type: :misc
---
:bibtex_key: Kiel DB 2019
:bibtex_type: :misc
---
:bibtex_key: Larsson 2019
:bibtex_type: :misc
---
:bibtex_key: Chen et al.1992
:bibtex_type: :misc
---
:bibtex_key: Oxford Datelist
: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

Linked Data

Radiocarbon dates (69)

Typological dates (0)

Bibliographic references

Changelog

Imported from source database via c14bazAAR