Site types
Settlement and

Location

100 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
052.017° N, 000.566° W
Coordinates (DMS)
052° 01' 00" W, 000° 33' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (127)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
HAR-2157 charcoal hawthorn type (Rosaceae, sub family Pomoideae) and Prunus sp. (eg. blackthorn), not twiggy NA 2670±80 BP 2993–2495 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-3093 from aposthole building with inconclusive stratigraphical relationships to any other reliably dated feature within the Iron Age settlement charcoal Quercus sp., from mature timbers NA 2370±110 BP 2736–2146 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-3094 from an enclosure ditch charcoal Quercus sp., Corylus/Alnus sp. and Fraxinus sp., from mature timbers NA 2270±70 BP 2465–2060 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-3097 from an Iron Age gully enclosing a round house charcoal Quercus sp. and Corylus/Alnus sp. from mature timbers, also Rosaceae, sub-family Pomoideae, from mature, branch-sized and twig-sized wood NA 2440±90 BP 2740–2338 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-3945 from lens of charcoal and earth in enclosure ditch charcoal NA NA 2330±60 BP 2695–2150 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-3950 from second phase of enclosure system charcoal NA NA 2310±110 BP 2710–2054 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-3952 from a posthole, forming part of a stratigraphically aerly structure charcoal NA NA 2140±110 BP 2350–1832 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-4439 from a pit in sequence of Late(?) Iron Age occupation charcoal Quercus sp. and Prunus sp. from mature timber NA 2320±80 BP 2700–2121 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-4442 from a possibly Late Iron Age posthole charcoal Quercus sp. from mature timbers NA 2180±80 BP 2345–1951 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-1841 from a shallow ditch, cut by Iron Age features charcoal hawthorn type (Crataegus/Pyrus/Malus/Sorbus sp.) and probably Prunus sp (eg. blackthorn) NA 2400±100 BP 2740–2158 cal BP Jordan et al. 1994, 15 Kneisel, Hinz, and Rinne 2014
HAR-3095 from a dump of burnt material including bone and loom weights charcoal Quercus sp., Corylus/Alnus sp. and Fraxinus sp. from mature timbers NA 2080±70 BP 2304–1835 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-3944 from lens of charcoal and earth in enclosure ditch charcoal NA NA 2240±70 BP 2357–2009 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
HAR-3951 from a lens of charcoal and burnt material in a storage pit, associated with Middle Iron Age pottery charcoal NA NA 2970±130 BP 3445–2789 cal BP Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014
BM-1445 bone NA NA 3578±48 BP 4068–3718 cal BP Banadora Straus L.G. 2011.QI 242: 328-335. Bird et al. 2022
Birm-410 wood NA NA 3840±130 BP 4780–3849 cal BP Bevan 2017 Bird et al. 2022
Birm-431 charcoal NA NA 3360±200 BP 4150–3076 cal BP Bevan 2017 Bird et al. 2022
Birm-432 charcoal NA NA 2110±120 BP 2348–1748 cal BP Bevan 2017 Bird et al. 2022
GrA-33496 ceramic residue (charred) NA NA 2290±40 BP 2355–2155 cal BP Bevan 2017 Bird et al. 2022
GrA-33497 ceramic residue (charred) NA NA 2480±50 BP 2723–2366 cal BP Bevan 2017 Bird et al. 2022
GrA-33511 ceramic residue (charred) NA NA 2115±35 BP 2291–1995 cal BP Bevan 2017 Bird et al. 2022

typological date Typological dates (13)

Classification Estimated age References
Iron Age NA Jordan et al. 1994
Iron Age NA Jordan et al. 1994
Iron Age NA Jordan et al. 1994
Iron Age NA Jordan et al. 1994
Iron Age NA Jordan et al. 1994
Iron Age NA Jordan et al. 1994
Iron Age NA Jordan et al. 1994
Iron Age NA Jordan et al. 1994
Iron Age NA Jordan et al. 1994
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Jordan et al. 1994, 15
Iron Age NA Jordan et al. 1994
Iron Age NA Jordan et al. 1994
Iron Age NA Jordan et al. 1994

Bibliographic reference Bibliographic references

@misc{Jordan et al. 1994,
  
}
@misc{Jordan et al. 1994, 15,
  
}
@misc{Banadora Straus L.G. 2011.QI 242: 328-335.,
  
}
@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{Valladas  2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx.  Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.,
  
}
@misc{Yravedra Sainz de los Terreros J.  2006. In: Miscelanea en homenaje a Victoria Cabrera Alcala de Henares: 280-289. Mallol C  2010 QI 214: 70-81. Maroto J.  2012. QI 247: 15-25.,
  
}
@misc{Jordan et al. 1994 15,
  
}
@misc{Nixon 2009,
  
}
@dataset{RADON-B,
  title = {RADON-B – Radiocarbon Dates Online (Version 2014).  Database for European 14C Dates for the Bronze and Early Iron Age},
  author = {Kneisel, Jutta and Hinz, Martin and Rinne, Christophe},
  date = {2014},
  url = {https://radon-b.ufg.uni-kiel.de},
  abstract = {The database provides a quick overview of 14C dates from Europe. The time frame was limited to the Bronze and Early Iron Ages and covers the period from 2300 BC to 500 BC. The database can be searched by geographic or chronological factors, but also according to the nature of the sample material, the sites or features. The data and related information were taken from the literature cited in each case, and due to the timing of phases and culture assignment, are subject to change. We therefore assume no responsibility for the accuracy of source data.}
}
@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":"Jordan et al. 1994","bibtex_type":"misc"}{"bibtex_key":"Jordan et al. 1994, 15","bibtex_type":"misc"}{"bibtex_key":"Banadora Straus L.G. 2011.QI 242: 328-335.","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":"Valladas  2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx.  Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.","bibtex_type":"misc"}{"bibtex_key":"Yravedra Sainz de los Terreros J.  2006. In: Miscelanea en homenaje a Victoria Cabrera Alcala de Henares: 280-289. Mallol C  2010 QI 214: 70-81. Maroto J.  2012. QI 247: 15-25.","bibtex_type":"misc"}{"bibtex_key":"Jordan et al. 1994 15","bibtex_type":"misc"}{"bibtex_key":"Nixon 2009","bibtex_type":"misc"}[{"bibtex_key":"RADON-B","bibtex_type":"dataset","title":"{RADON-B – Radiocarbon Dates Online (Version 2014).  Database for European 14C Dates for the Bronze and Early Iron Age}","author":"{Kneisel, Jutta and Hinz, Martin and Rinne, Christophe}","date":"{2014}","url":"{https://radon-b.ufg.uni-kiel.de}","abstract":"{The database provides a quick overview of 14C dates from Europe. The time frame was limited to the Bronze and Early Iron Ages and covers the period from 2300 BC to 500 BC. The database can be searched by geographic or chronological factors, but also according to the nature of the sample material, the sites or features. The data and related information were taken from the literature cited in each case, and due to the timing of phases and culture assignment, are subject to change. We therefore assume no responsibility for the accuracy of source data.}"}][{"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: Jordan et al. 1994
:bibtex_type: :misc
---
:bibtex_key: Jordan et al. 1994, 15
:bibtex_type: :misc
---
:bibtex_key: 'Banadora Straus L.G. 2011.QI 242: 328-335.'
: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: 'Valladas  2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie
  xxx (2014) xxxxxx.  Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.'
:bibtex_type: :misc
---
:bibtex_key: 'Yravedra Sainz de los Terreros J.  2006. In: Miscelanea en homenaje
  a Victoria Cabrera Alcala de Henares: 280-289. Mallol C  2010 QI 214: 70-81. Maroto
  J.  2012. QI 247: 15-25.'
:bibtex_type: :misc
---
:bibtex_key: Jordan et al. 1994 15
:bibtex_type: :misc
---
:bibtex_key: Nixon 2009
:bibtex_type: :misc
---
- :bibtex_key: RADON-B
  :bibtex_type: :dataset
  :title: "{RADON-B – Radiocarbon Dates Online (Version 2014).  Database for European
    14C Dates for the Bronze and Early Iron Age}"
  :author: "{Kneisel, Jutta and Hinz, Martin and Rinne, Christophe}"
  :date: "{2014}"
  :url: "{https://radon-b.ufg.uni-kiel.de}"
  :abstract: "{The database provides a quick overview of 14C dates from Europe. The
    time frame was limited to the Bronze and Early Iron Ages and covers the period
    from 2300 BC to 500 BC. The database can be searched by geographic or chronological
    factors, but also according to the nature of the sample material, the sites or
    features. The data and related information were taken from the literature cited
    in each case, and due to the timing of phases and culture assignment, are subject
    to change. We therefore assume no responsibility for the accuracy of source data.}"
---
- :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