Site type

Location

Coordinates (degrees)
058.999° N, 003.015° W
Coordinates (DMS)
058° 59' 00" W, 003° 00' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (32)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
OxA-1117 NA bone NA NA 1980±80 BP 2115–1720 cal BP Cessford 2005: 85 Bronk Ramsey et al. 2009: 337 Bird et al. 2022
OxA-4739 NA bone/tooth NA NA 920±80 BP 956–686 cal BP Moore et al. 1986 Gowlett and Hedges 1987 Housley 1994 Schyle 1996 Bird et al. 2022
Pta-1606 NA bone NA NA 4130±60 BP 4831–4450 cal BP Maggs T. 1984. The Iron Age South of the Zambezi. In: Klein R.G. (ed.) Southern African Prehistory and Palaeoenvironments. A.A.Balkema Rotterdam and Boston: 329–360 Bird et al. 2022
Pta-1626 NA bone NA NA 4300±60 BP 5047–4645 cal BP Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon 13: 378-394 Bird et al. 2022
Pta-2649 NA bone NA NA 4220±60 BP 4869–4535 cal BP Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80 Bird et al. 2022
Q-1363 NA bone NA NA 4540±110 BP 5470–4871 cal BP Bevan 2017 Bird et al. 2022
Q-1451 NA bone NA NA 4110±100 BP 4859–4310 cal BP Carter P.L. Mitchell P.J. and Vinnicombe P. 1988. Sehonghong: The Middle and Later Stone Age industrial sequence at a Lesotho rockshelter. British Archaeological Reports International Series. Bird et al. 2022
Q-1479 NA bone NA NA 4170±75 BP 4855–4450 cal BP Bevan 2017 Bird et al. 2022
Q-1480 NA bone NA NA 3905±70 BP 4522–4098 cal BP Larsson 2019 Bird et al. 2022
SRR-754 NA bone NA NA 4360±50 BP 5255–4836 cal BP Bevan 2017 Bird et al. 2022
SRR-755 NA bone NA NA 3870±55 BP 4420–4097 cal BP Ashmore 2004 Bird et al. 2022
SUERC-23993 NA bone NA NA 4490±35 BP 5297–4984 cal BP Larsson 2019 Bird et al. 2022
SUERC-23997 NA bone NA NA 4395±35 BP 5214–4858 cal BP Larsson 2019 Bird et al. 2022
SUERC-23998 NA bone NA NA 4585±35 BP 5449–5055 cal BP Larsson 2019 Bird et al. 2022
SUERC-23999 NA bone NA NA 4555±35 BP 5434–5051 cal BP Larsson 2019 Bird et al. 2022
SUERC-24000 NA bone NA NA 4440±35 BP 5281–4878 cal BP Larsson 2019 Bird et al. 2022
SUERC-24001 NA bone NA NA 4280±35 BP 4959–4727 cal BP Larsson 2019 Bird et al. 2022
SUERC-24002 NA bone NA NA 4510±35 BP 5305–5047 cal BP Larsson 2019 Bird et al. 2022
SUERC-24003 NA bone NA NA 4570±35 BP 5442–5052 cal BP Larsson 2019 Bird et al. 2022
SUERC-24007 NA bone NA NA 4255±35 BP 4869–4652 cal BP Larsson 2019 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Larsson 2019,
  
}
@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{Ashmore 2004,
  
}
@misc{Cessford 2005: 85 Bronk Ramsey et al. 2009: 337,
  
}
@misc{Moore et al. 1986 Gowlett and Hedges 1987 Housley 1994 Schyle 1996,
  
}
@misc{Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon 13: 378-394,
  
}
@misc{Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80,
  
}
@misc{Maggs T. 1984. The Iron Age South of the Zambezi. In: Klein R.G. (ed.) Southern African Prehistory and Palaeoenvironments. A.A.Balkema Rotterdam and Boston: 329–360,
  
}
@misc{Carter P.L. Mitchell P.J. and Vinnicombe P. 1988. Sehonghong: The Middle and Later Stone Age industrial sequence at a Lesotho rockshelter. British Archaeological Reports International Series.,
  
}
@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":"Larsson 2019","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":"Ashmore 2004","bibtex_type":"misc"}{"bibtex_key":"Cessford 2005: 85 Bronk Ramsey et al. 2009: 337","bibtex_type":"misc"}{"bibtex_key":"Moore et al. 1986 Gowlett and Hedges 1987 Housley 1994 Schyle 1996","bibtex_type":"misc"}{"bibtex_key":"Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon 13: 378-394","bibtex_type":"misc"}{"bibtex_key":"Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80","bibtex_type":"misc"}{"bibtex_key":"Maggs T. 1984. The Iron Age South of the Zambezi. In: Klein R.G. (ed.) Southern African Prehistory and Palaeoenvironments. A.A.Balkema Rotterdam and Boston: 329–360","bibtex_type":"misc"}{"bibtex_key":"Carter P.L. Mitchell P.J. and Vinnicombe P. 1988. Sehonghong: The Middle and Later Stone Age industrial sequence at a Lesotho rockshelter. British Archaeological Reports International Series.","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: Larsson 2019
: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: Ashmore 2004
:bibtex_type: :misc
---
:bibtex_key: 'Cessford 2005: 85 Bronk Ramsey et al. 2009: 337'
:bibtex_type: :misc
---
:bibtex_key: Moore et al. 1986 Gowlett and Hedges 1987 Housley 1994 Schyle 1996
:bibtex_type: :misc
---
:bibtex_key: 'Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon
  13: 378-394'
:bibtex_type: :misc
---
:bibtex_key: 'Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon
  23: 43-80'
:bibtex_type: :misc
---
:bibtex_key: 'Maggs T. 1984. The Iron Age South of the Zambezi. In: Klein R.G. (ed.)
  Southern African Prehistory and Palaeoenvironments. A.A.Balkema Rotterdam and Boston:
  329–360'
:bibtex_type: :misc
---
:bibtex_key: 'Carter P.L. Mitchell P.J. and Vinnicombe P. 1988. Sehonghong: The Middle
  and Later Stone Age industrial sequence at a Lesotho rockshelter. British Archaeological
  Reports International Series.'
: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