Broxmouth
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)
- 055.988° N, 002.481° W
- Coordinates (DMS)
- 055° 59' 00" W, 002° 28' 00" N
- Country (ISO 3166)
- United Kingdom (GB)
Linked Data
There is no linked data available for this record.
Radiocarbon dates
(35)
| Lab ID | Context | Material | Taxon | Method | Uncalibrated age | Calibrated age | References |
|---|---|---|---|---|---|---|---|
| GU-1069 | NA | bone | NA | NA | 1740±70 BP | 1820–1420 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1070 | NA | bone | NA | NA | 2180±60 BP | 2334–2003 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1138 | NA | bone | NA | NA | 2255±70 BP | 2410–2007 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1139 | NA | bone | NA | NA | 2155±60 BP | 2320–1996 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1140 | NA | bone | NA | NA | 2270±65 BP | 2460–2075 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1141 | NA | bone | NA | NA | 2160±60 BP | 2320–1998 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1143 | NA | bone | NA | NA | 2020±65 BP | 2144–1749 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1144 | NA | bone | NA | NA | 2200±65 BP | 2342–2006 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1145 | NA | bone | NA | NA | 2060±60 BP | 2293–1835 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1146 | NA | bone | NA | NA | 2145±60 BP | 2320–1951 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1197 | NA | charcoal | NA | NA | 2320±60 BP | 2685–2148 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1198 | NA | charcoal | NA | NA | 3770±250 BP | 4832–3493 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1199 | NA | charcoal | NA | NA | 2105±50 BP | 2300–1934 cal BP | Sutton 1982 Bird et al. 2022 |
| GU-1201 | NA | charcoal | NA | NA | 2470±65 BP | 2720–2364 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1202 | NA | charcoal | NA | NA | 2520±55 BP | 2749–2374 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1205 | NA | charcoal | NA | NA | 2295±50 BP | 2425–2147 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1206 | NA | charcoal | NA | NA | 2405±105 BP | 2743–2157 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1225 | NA | charcoal | NA | NA | 2250±55 BP | 2349–2124 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1226 | NA | charcoal | NA | NA | 2145±70 BP | 2330–1947 cal BP | Bevan 2017 Bird et al. 2022 |
| GU-1227 | NA | charcoal | NA | NA | 1850±250 BP | 2359–1277 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. [Sutton 1982]
- 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{Sutton 1982,
}
@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":"Sutton 1982","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: Sutton 1982
: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}"