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)

radiocarbon date Radiocarbon dates (69)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BM-1164 antler NA NA 3678±68 BP Marshall 2012 Bird et al. 2022
BM-1582 bone NA NA 3715±70 BP Marshall 2012 Bird et al. 2022
BM-1583 antler NA NA 4410±60 BP British Museum XIV 234 Bird et al. 2022
BM-1617 antler NA NA 4390±60 BP British Museum XIV 234 Bird et al. 2022
GU-5109 charcoal NA NA 8880±120 BP CBA Radiocarbon Index Bird et al. 2022
HAR-4878 charcoal NA NA 3400±150 BP Bevan2017; EUROEVOL; RADON Bird et al. 2022
HAR-4879 charcoal NA NA 3400±150 BP Bevan 2017 Bird et al. 2022
I-2328 antler NA NA 4130±105 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 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 HAYNES 1967;DAMON ET AL.1964FRISON 1991a Bird et al. 2022
I-3216 bone NA NA 2750±100 BP Reber 1965 Bird et al. 2022
OxA-13193 bone NA NA 1258±34 BP Bevan 2017 Bird et al. 2022
OxA-18649 tooth NA NA 3883±31 BP Bevan 2017 Bird et al. 2022
OxA-18651 charcoal (sapwood) NA NA 4360±29 BP Bevan 2017 Bird et al. 2022
OxA-18653 charcoal (sapwood) NA NA 321±23 BP Bevan 2017 Bird et al. 2022
OxA-18655 charcoal NA NA 8183±36 BP Bevan 2017 Bird et al. 2022
OxA-18656 charcoal (sapwood) NA NA 336±23 BP Bevan 2017 Bird et al. 2022
OxA-18657 grain (charred) NA NA 1134±24 BP Bevan 2017 Bird et al. 2022
OxA-18658 charcoal (sapwood) NA NA 3847±27 BP Bevan 2017 Bird et al. 2022
OxA-18659 charcoal NA NA 4534±35 BP Bevan 2017 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@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