Eye Kettleby
Archaeological site
in United Kingdom
Record created in XRONOS on 2022-12-02 00:50:45 UTC.
Last updated on 2022-12-02 00:50:45 UTC.
See changelog for details.
Contributors: XRONOS development team
Contributors: XRONOS development team
Location
- Coordinates (degrees)
- 052.753° N, 000.917° W
- Coordinates (DMS)
- 052° 45' 00" W, 000° 55' 00" N
- Country (ISO 3166)
- United Kingdom (GB)
Linked Data
There is no linked data available for this record.
Radiocarbon dates
(54)
| Lab ID | Context | Material | Taxon | Method | Uncalibrated age | Calibrated age | References |
|---|---|---|---|---|---|---|---|
| OxA-10376 | charcoal (sapwoodsingle) | NA | NA | 3447±37 BP | 3830–3580 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-10377 | charcoal (single) | NA | NA | 3524±37 BP | 3890–3697 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-10378 | charcoal (single) | NA | NA | 3287±38 BP | 3579–3403 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-10379 | charcoal (single) | NA | NA | 3362±37 BP | 3689–3485 cal BP | Ashmore 2004 Bird et al. 2022 | |
| OxA-10478 | charcoal (single) | NA | NA | 3090±50 BP | 3436–3170 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-11324 | charcoal (single) | NA | NA | 2914±37 BP | 3165–2959 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-11325 | charcoal (sapwood) | NA | NA | 3570±40 BP | 3977–3723 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-11326 | charcoal (single) | NA | NA | 3600±40 BP | 4075–3732 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-11327 | charcoal (sapwoodsingle) | NA | NA | 3278±40 BP | 3575–3398 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-11328 | charcoal (sapwoodsingle) | NA | NA | 3295±40 BP | 3629–3407 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-11329 | charcoal (sapwoodsingle) | NA | NA | 3302±40 BP | 3635–3447 cal BP | Street M. 1993. Bird et al. 2022 | |
| OxA-11372 | charcoal (single) | NA | NA | 3584±37 BP | 3982–3728 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-11373 | charcoal (single) | NA | NA | 3520±37 BP | 3889–3695 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-11374 | charcoal (single) | NA | NA | 2747±35 BP | 2930–2761 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-11375 | charcoal (bark) | NA | NA | 3159±37 BP | 3453–3265 cal BP | Asomband 1998; Garcin et al. 2018 Bird et al. 2022 | |
| OxA-11488 | charcoal (single) | NA | NA | 3104±38 BP | 3393–3215 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-11489 | charcoal (single) | NA | NA | 3085±40 BP | 3382–3180 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-12689 | bone (cremated) | NA | NA | 3267±33 BP | 3565–3401 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-12690 | bone (cremated) | NA | NA | 3260±33 BP | 3562–3400 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-12691 | bone (cremated) | NA | NA | 3212±32 BP | 3467–3375 cal BP | Bevan 2017 Bird et al. 2022 |
Typological dates
(0)
| Classification | Estimated age | References |
|---|
Bibliographic references
- 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. [Ashmore 2004]
- No bibliographic information available. [Street M. 1993.]
- No bibliographic information available. [Asomband 1998; Garcin et al. 2018]
- No bibliographic information available. [White M. 2006. World Archaeology 38: 547-575. Juby C. 2011. PhD Royal Holloway. Higham T.F.G. 2006a. Radiocarbon 48(2): 179-95.]
- No bibliographic information available. [Proslov N.D. Rogachev A.D.(eds.) Palaeolithic at the Koskeni-Borschchevo area on the river Don. 1879) 1979 (results of field investigation). Leningrad 1982 (in russian). Marom 2012. PNAS 109: 6878-6881]
- No bibliographic information available. [http://carbon14.univ-lyon1.fr/banadora.htm Valladas H. 2001. Radiocarbon 43: 977.]
- No bibliographic information available. [Ramsey C.B. 2002. Archaeometry 443: 1-149.]
- 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]
@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{Street M. 1993.,
}
@misc{Asomband 1998; Garcin et al. 2018,
}
@misc{White M. 2006. World Archaeology 38: 547-575. Juby C. 2011. PhD Royal Holloway. Higham T.F.G. 2006a. Radiocarbon 48(2): 179-95.,
}
@misc{Proslov N.D. Rogachev A.D.(eds.) Palaeolithic at the Koskeni-Borschchevo area on the river Don. 1879) 1979 (results of field investigation). Leningrad 1982 (in russian). Marom 2012. PNAS 109: 6878-6881,
}
@misc{http://carbon14.univ-lyon1.fr/banadora.htm Valladas H. 2001. Radiocarbon 43: 977.,
}
@misc{Ramsey C.B. 2002. Archaeometry 443: 1-149.,
}
@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":"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":"Street M. 1993.","bibtex_type":"misc"}{"bibtex_key":"Asomband 1998; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"White M. 2006. World Archaeology 38: 547-575. Juby C. 2011. PhD Royal Holloway. Higham T.F.G. 2006a. Radiocarbon 48(2): 179-95.","bibtex_type":"misc"}{"bibtex_key":"Proslov N.D. Rogachev A.D.(eds.) Palaeolithic at the Koskeni-Borschchevo area on the river Don. 1879) 1979 (results of field investigation). Leningrad 1982 (in russian). Marom 2012. PNAS 109: 6878-6881","bibtex_type":"misc"}{"bibtex_key":"http://carbon14.univ-lyon1.fr/banadora.htm Valladas H. 2001. Radiocarbon 43: 977.","bibtex_type":"misc"}{"bibtex_key":"Ramsey C.B. 2002. Archaeometry 443: 1-149.","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: 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: Street M. 1993.
:bibtex_type: :misc
---
:bibtex_key: Asomband 1998; Garcin et al. 2018
:bibtex_type: :misc
---
:bibtex_key: 'White M. 2006. World Archaeology 38: 547-575. Juby C. 2011. PhD Royal
Holloway. Higham T.F.G. 2006a. Radiocarbon 48(2): 179-95.'
:bibtex_type: :misc
---
:bibtex_key: 'Proslov N.D. Rogachev A.D.(eds.) Palaeolithic at the Koskeni-Borschchevo
area on the river Don. 1879) 1979 (results of field investigation). Leningrad 1982
(in russian). Marom 2012. PNAS 109: 6878-6881'
:bibtex_type: :misc
---
:bibtex_key: 'http://carbon14.univ-lyon1.fr/banadora.htm Valladas H. 2001. Radiocarbon
43: 977.'
:bibtex_type: :misc
---
:bibtex_key: 'Ramsey C.B. 2002. Archaeometry 443: 1-149.'
: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}"