Bloodmoor Hill Carelton Colville
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
Linked Data
There is no linked data available for this record.
Radiocarbon dates
(58)
| Lab ID | Context | Material | Taxon | Method | Uncalibrated age | Calibrated age | References |
|---|---|---|---|---|---|---|---|
| OxA-14008 | ceramic residue (charred) | NA | NA | 1615±65 BP | 1692–1358 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-14016 | ceramic residue (charred) | NA | NA | 1489±24 BP | 1401–1311 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-14017 | ceramic residue (charred) | NA | NA | 1697±26 BP | 1692–1534 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-14018 | ceramic residue (charred) | NA | NA | 1635±40 BP | 1685–1407 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-14019 | ceramic residue (charred) | NA | NA | 1559±24 BP | 1518–1383 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-14044 | bone | NA | NA | 1851±28 BP | 1825–1708 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-14232 | ceramic residue (charred) | NA | NA | 1477±27 BP | 1390–1307 cal BP | Bevan 2017 Bird et al. 2022 | |
| OxA-14244 | ceramic residue (charred) | NA | NA | 1598±30 BP | 1530–1410 cal BP | Kaminska L. 2006.ERAUL 115: 49-52. Nejmann L. 2011 Archaeometry Bird et al. 2022 | |
| UB-4907 | bone | NA | NA | 1271±19 BP | 1275–1179 cal BP | Bevan 2017 Bird et al. 2022 | |
| UB-4908 | bone | NA | NA | 1331±21 BP | 1297–1263 cal BP | Bevan 2017 Bird et al. 2022 | |
| UB-4909 | bone | NA | NA | 1368±19 BP | 1305–1280 cal BP | Bevan 2017 Bird et al. 2022 | |
| UB-4911 | bone | NA | NA | 1401±21 BP | 1345–1289 cal BP | Bevan 2017 Bird et al. 2022 | |
| UB-4912 | bone | NA | NA | 1326±16 BP | 1294–1265 cal BP | Bevan 2017 Bird et al. 2022 | |
| UB-4913 | bone | NA | NA | 1371±15 BP | 1300–1287 cal BP | Bevan 2017 Bird et al. 2022 | |
| UB-4914 | bone | NA | NA | 1397±18 BP | 1343–1290 cal BP | Bevan 2017 Bird et al. 2022 | |
| UB-4915 | bone | NA | NA | 1364±19 BP | 1304–1280 cal BP | Bevan 2017 Bird et al. 2022 | |
| UB-4916 | bone | NA | NA | 1372±19 BP | 1305–1282 cal BP | Bevan 2017 Bird et al. 2022 | |
| UB-6185 | bone | NA | NA | 1787±17 BP | 1714–1625 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. [Golovanova 2010. Antiquity 84: 299-320.]
- No bibliographic information available. [Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and regional settlement patterns revealed by time-series analyses of an archaeological radiocarbon database for the South-Central Andes (16-25S). Quaternary International 356 4-14.]
- No bibliographic information available. [Jacobi R. 2006. JQS 21: 557-573. Higham T.F.G. 2006a. Radiocarbon 48(2): 179-95.]
- No bibliographic information available. [Caron-Laviolette E. 2018 Quaternary International 49: 12-29]
- No bibliographic information available. [Kaminska L. 2006.ERAUL 115: 49-52. Nejmann L. 2011 Archaeometry]
- 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{Golovanova 2010. Antiquity 84: 299-320.,
}
@misc{Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and regional settlement patterns revealed by time-series analyses of an archaeological radiocarbon database for the South-Central Andes (16-25S). Quaternary International 356 4-14.,
}
@misc{Jacobi R. 2006. JQS 21: 557-573. Higham T.F.G. 2006a. Radiocarbon 48(2): 179-95.,
}
@misc{Caron-Laviolette E. 2018 Quaternary International 49: 12-29,
}
@misc{Kaminska L. 2006.ERAUL 115: 49-52. Nejmann L. 2011 Archaeometry,
}
@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":"Golovanova 2010. Antiquity 84: 299-320.","bibtex_type":"misc"}{"bibtex_key":"Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and regional settlement patterns revealed by time-series analyses of an archaeological radiocarbon database for the South-Central Andes (16-25S). Quaternary International 356 4-14.","bibtex_type":"misc"}{"bibtex_key":"Jacobi R. 2006. JQS 21: 557-573. Higham T.F.G. 2006a. Radiocarbon 48(2): 179-95.","bibtex_type":"misc"}{"bibtex_key":"Caron-Laviolette E. 2018 Quaternary International 49: 12-29","bibtex_type":"misc"}{"bibtex_key":"Kaminska L. 2006.ERAUL 115: 49-52. Nejmann L. 2011 Archaeometry","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: 'Golovanova 2010. Antiquity 84: 299-320.'
:bibtex_type: :misc
---
:bibtex_key: Gayo E. M. Latorre C. & Santoro C. M. (2015). Timing of occupation and
regional settlement patterns revealed by time-series analyses of an archaeological
radiocarbon database for the South-Central Andes (16-25S). Quaternary International
356 4-14.
:bibtex_type: :misc
---
:bibtex_key: 'Jacobi R. 2006. JQS 21: 557-573. Higham T.F.G. 2006a. Radiocarbon
48(2): 179-95.'
:bibtex_type: :misc
---
:bibtex_key: 'Caron-Laviolette E. 2018 Quaternary International 49: 12-29'
:bibtex_type: :misc
---
:bibtex_key: 'Kaminska L. 2006.ERAUL 115: 49-52. Nejmann L. 2011 Archaeometry'
: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}"