Garton Slack
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Last updated on 2022-12-02 00:50:45 UTC.
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Lab ID | Context | Material | Taxon | Method | Uncalibrated age | Calibrated age | References |
---|---|---|---|---|---|---|---|
HAR-1227 | from a layer of black soil at the bottom of a large Iron Age grave | wood | hawthorn type; charcoal from fairly large timbers | NA | 3200±70 BP | 3572–3237 cal BP | Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-1228 | from a deposit containing wood, charcoal, and carbonised grain at the base of Iron Age silo | wood | Quercus sp. from fairly large timbers; | NA | 2130±70 BP | 2320–1940 cal BP | Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-1235 | from pit 1, trench X, section S5, layer C (Iron Age grain silo?); c 0.66m below the scraped surface. | wood | Quercus sp. from fairly large timbers; | NA | 2340±80 BP | 2705–2148 cal BP | Jordon et al 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-1236 | from a secondary cremation burial, at the bottom of an oval grave, in a round barrow | wood | Quercus sp. from fairly large timbers | NA | 3550±70 BP | 4080–3638 cal BP | Jordan et al. 1994; Kneisel, Hinz, and Rinne 2014 |
HAR-1282 | from a Bronze Age grave which also con tained six sheet bronze beads, 13 jet buttons, a jet toggle, and a necklace of 180 jet beads | collagen, bone | Homo sapiens | NA | 3520±70 BP | 3980–3584 cal BP | Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-1284 | from trench 1, section A, ?a sunken path in a ritual pit. | collagen, bone | antler, red deer | NA | 3870±110 BP | 4579–3928 cal BP | Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-2488 | from pit 1, section G2, in the centre of a rectangular enclosure | charcoal | hawthorn type (Rosaceae, sub-family Pomoideae) from branch-sized and fairly large timbers; c 25% identified | NA | 1750±60 BP | 1818–1525 cal BP | Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-2491 | from pit 1 | charcoal | Quercus sp., Fraxinus sp. and Corylus avellana or Alnus glutinosa, from fairly large timbers | NA | 3462±70 BP | 3902–3495 cal BP | Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-1283 | from a grave between barrows 3 and 4 (Tr 3K5) | collagen, bone | Homo sapiens | NA | 2350±120 BP | 2738–2105 cal BP | Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-2492 | from posthole 3, Ext sEXTIOB v" | charcoal | Quercus sp, from fairly large timbers | NA | 3370±70 BP | 3827–3451 cal BP | Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-2493 | from a cremation burial | charcoal | Quercus sp., from fairly large timbers | NA | 3350±80 BP | 3827–3398 cal BP | Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-3620 | from the central grave in barrow 2, associated with an La Tène Mirror | collagen, bone | Homo sapiens | NA | 2030±70 BP | 2291–1749 cal BP | Jordan et al. 1994 Kneisel, Hinz, and Rinne 2014 |
HAR-1227 | wood | NA | NA | 3200±70 BP | 3572–3237 cal BP | Jordan et al. 1994 Bird et al. 2022 | |
HAR-1228 | wood | NA | NA | 2130±70 BP | 2320–1940 cal BP | Jordan et al. 1994 Bird et al. 2022 | |
HAR-1235 | wood | NA | NA | 2340±80 BP | 2705–2148 cal BP | Jordon et al 1994 Bird et al. 2022 | |
HAR-1236 | wood | NA | NA | 3550±70 BP | 4080–3638 cal BP | Jordan et al. 1994; Bird et al. 2022 | |
HAR-1274 | bone | NA | NA | 1920±90 BP | 2097–1611 cal BP | Bevan 2017 Bird et al. 2022 | |
HAR-1275 | bone | NA | NA | 1870±70 BP | 1981–1610 cal BP | Bevan 2017 Bird et al. 2022 | |
HAR-1282 | collagen bone | NA | NA | 3520±70 BP | 3980–3584 cal BP | Jordan et al. 1994 Bird et al. 2022 | |
HAR-1283 | collagen bone | NA | NA | 2350±120 BP | 2738–2105 cal BP | Jordan et al. 1994 Bird et al. 2022 |
Bibliographic references
- No bibliographic information available. [Jordan et al. 1994]
- No bibliographic information available. [Jordon et al 1994]
- No bibliographic information available. [Jordan et al. 1994;]
- 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. [Lanting J.N.Van der Plicht J. I996 Palaeohistoria 37/38: 7I-125. Renault-Miskovsky J. Leroi-Gourhan Arl. 1981. Bull. AFEQ vol 3-4 : 121-128]
- No bibliographic information available. [Maroto J. 2012. QI 247: 15-25.]
- Kneisel, J., Hinz, M., & Rinne, C. (2014). RADON-B – Radiocarbon Dates Online (Version 2014). Database for European 14C Dates for the Bronze and Early Iron Age [Data set]. https://radon-b.ufg.uni-kiel.de [RADON-B]
- 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]
@misc{Jordan et al. 1994,
}
@misc{Jordon et al 1994,
}
@misc{Jordan et al. 1994;,
}
@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{Lanting J.N.Van der Plicht J. I996 Palaeohistoria 37/38: 7I-125. Renault-Miskovsky J. Leroi-Gourhan Arl. 1981. Bull. AFEQ vol 3-4 : 121-128,
}
@misc{Maroto J. 2012. QI 247: 15-25.,
}
@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":"Jordon et al 1994","bibtex_type":"misc"}{"bibtex_key":"Jordan et al. 1994;","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":"Lanting J.N.Van der Plicht J. I996 Palaeohistoria 37/38: 7I-125. Renault-Miskovsky J. Leroi-Gourhan Arl. 1981. Bull. AFEQ vol 3-4 : 121-128","bibtex_type":"misc"}{"bibtex_key":"Maroto J. 2012. QI 247: 15-25.","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: Jordon et al 1994
:bibtex_type: :misc
---
:bibtex_key: Jordan et al. 1994;
: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: 'Lanting J.N.Van der Plicht J. I996 Palaeohistoria 37/38: 7I-125. Renault-Miskovsky
J. Leroi-Gourhan Arl. 1981. Bull. AFEQ vol 3-4 : 121-128'
:bibtex_type: :misc
---
:bibtex_key: 'Maroto J. 2012. QI 247: 15-25.'
: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}"