Maroulas
Archaeological site
in Greece
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)
- NA
- Coordinates (DMS)
- NA
- Country (ISO 3166)
- Greece (GR)
Linked Data
There is no linked data available for this record.
Radiocarbon dates
(47)
| Lab ID | Context | Material | Taxon | Method | Uncalibrated age | Calibrated age | References |
|---|---|---|---|---|---|---|---|
| Gd‐11654 | Tr. 3, layer 5 | Carbonates | NA | NA | 11370±110 BP | 13455–13096 cal BP | Facorellis et al. 2010: 133 Table 3 |
| UCIAMS‐26187 | Tr. 2, sq. 11, ▼0.20 m | Sea shell: Patella sp., fragment | NA | NA | 9610±30 BP | 11155–10784 cal BP | Facorellis et al. 2010: 133 Table 3 |
| HD‐20578 | Tr. Δ1α, layer 1,▼0.20‐0.30 m | Sea shells | NA | NA | 9571±65 BP | 11160–10708 cal BP | Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3 |
| UCIAMS‐26183 | Tr. 2, sq. 11, ▼0.10 m | Sea shell: Patella caerulea L., 1758 | NA | NA | 9755±35 BP | 11241–11165 cal BP | Facorellis et al. 2010: 133 Table 3 |
| UCIAMS‐26191 | Tr. 2, sq. 10, ▼0.35 m | Sea shell: Patella caerulea L., 1758 | NA | NA | 9565±35 BP | 11090–10739 cal BP | Facorellis et al. 2010: 133 Table 3 |
| Poz‐2200 | Tr. 3 | Charcoal: Angiosperm | NA | NA | 9440±40 BP | 10989–10572 cal BP | Facorellis et al. 2010: 133 Table 3 |
| Poz‐6486 | Tr. 2 | Charcoal: Angiosperm | NA | NA | 9420±50 BP | 10989–10509 cal BP | Facorellis et al. 2010: 133 Table 3 |
| UCIAMS-26185 | Tr. 2, sq. 11, ▼0.15 m | Sea shell: Patella caerulea L., 1758 | NA | NA | 9690±35 BP | 11204–10877 cal BP | Facorellis et al. 2010: 133 Table 3 |
| UCIAMS‐26186 | Tr. 2, sq. 11, ▼0.20 m | Charcoal: Angiosperm | NA | NA | 9415±30 BP | 10704–10575 cal BP | Facorellis et al. 2010: 133 Table 3 |
| UCIAMS‐26188 | Tr. 2, sq. 10, ▼0.30 m | Charcoal: Angiosperm | NA | NA | 9405±30 BP | 10701–10570 cal BP | Facorellis et al. 2010: 133 Table 3 |
| UCIAMS‐26190 | Tr. 2, sq. 10, ▼0.35 m | Charcoal: Prunus sp. | NA | NA | 9405±30 BP | 10701–10570 cal BP | Facorellis et al. 2010: 133 Table 3 |
| UCIAMS‐26184 | Tr. 2, sq. 11, ▼0.15 m | Charcoal: Angiosperm | NA | NA | 9385±35 BP | 10697–10510 cal BP | Facorellis et al. 2010: 133 Table 3 |
| UCIAMS‐26189 | Tr. 2, sq. 10, ▼0.30 m | Sea shell: Patella caerulea L., 1758 | NA | NA | 9510±35 BP | 11070–10662 cal BP | Facorellis et al. 2010: 133 Table 3 |
| UCIAMS‐26182 | Tr. 2, sq. 11, ▼0.10 m | Charcoal: Angiosperm | NA | NA | 9350±35 BP | 10660–10439 cal BP | Facorellis et al. 2010: 133 Table 3 |
| HD-20581 | Tr. Δ1α/α, layer 1, ▼0.20‐0.30 m | Sea shells | NA | NA | 9346±67 BP | 10724–10300 cal BP | Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3 |
| GX-2837 | Surface material 1972 | Bone apatite, carbon dioxide | NA | NA | 7875±500 BP | 10110–7689 cal BP | Honea 1975: 279, Facorellis et al. 2010: 133 Table 3 |
| Gd-15365 | Tr. 2, ▼0.50 m; below the lower pavement | Organic fraction | NA | NA | 7680±120 BP | 8852–8190 cal BP | Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3 |
| Gd-15368 | Tr. 2, ▼0.38 m; just above the lower pavement | Organic fraction | NA | NA | 7240±120 BP | 8335–7838 cal BP | Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3 |
| Gd-11655 | Tr. 2, below the lower pavement | Carbonates | NA | NA | 6880±140 BP | 7970–7485 cal BP | Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3 |
| Gd-11653 | Tr. 2, just above the lower pavement | Carbonates | NA | NA | 6500±50 BP | 7555–7314 cal BP | Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3 |
Typological dates
(25)
Bibliographic references
- No bibliographic information available. [Facorellis et al. 2010: 133 Table 3]
- No bibliographic information available. [Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3]
- No bibliographic information available. [Honea 1975: 279, Facorellis et al. 2010: 133 Table 3]
- No bibliographic information available. [Brami 2011]
- No bibliographic information available. [Mazurié de Kéroualin 2001, p. 102.]
- Jørgensen, E. K. (2020). The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic Norway: An Overview of Human-Climate Covariation. Quaternary International, 549, 36–51. https://doi.org/10.1016/j.quaint.2018.05.014 [Jørgensen 2020]
- No bibliographic information available. [Honea 1975: 279 Facorellis et al. 2010: 133 Table 3]
- No bibliographic information available. [Banadora Aura J. 2012.QI]
- No bibliographic information available. [Sampson et al. 2002: 48 62 Facorellis et al. 2010: 133 Table 3]
- http://www.14sea.org/ [14SEA]
- Weninger, B. (2022). CalPal Edition 2022.9. Zenodo. https://doi.org/1010.5281/zenodo.7422618 [CalPal2022]
- Perrin, T. (2021). Base de Données Archéologique (BDA) [Data set]. NAKALA. https://doi.org/10.34847/nkl.dde9fnm8 [BDA]
- 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{Facorellis et al. 2010: 133 Table 3,
}
@misc{Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3,
}
@misc{Honea 1975: 279, Facorellis et al. 2010: 133 Table 3,
}
@misc{Brami 2011,
}
@misc{Mazurié de Kéroualin 2001, p. 102.,
}
@article{Jorgensen2020,
title = {The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic Norway: An Overview of Human-Climate Covariation},
shorttitle = {The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic Norway},
author = {Jørgensen, Erlend Kirkeng},
date = {2020-05-30},
journaltitle = {Quaternary International},
shortjournal = {Quaternary International},
series = {Long-Term Perspectives on Circumpolar Social-Ecological Systems},
volume = {549},
pages = {36–51},
issn = {1040-6182},
doi = {10.1016/j.quaint.2018.05.014},
url = {https://www.sciencedirect.com/science/article/pii/S1040618217315124},
urldate = {2023-09-07},
abstract = {This paper presents the first palaeodemographic results of a newly assembled region-wide radiocarbon record of the Arctic regions of northern Norway. The dataset contains a comprehensive collection of radiocarbon dates in the area (N\,= 1205) and spans the 10,000-year period of hunter-gatherer settlement history from 11500 to 1500 cal BP. Utilizing local, high-resolution palaeoclimate data, the paper performs multi-proxy correlation testing of climate and demographic dynamics, looking for hunter-gatherer responses to climate variability. The paper compares both long-term climate trends and short-term disruptive climate events with the demographic development in the region. The results demonstrate marked demographic fluctuations throughout the period, characterized by a general increase, punctuated by three significant boom and bust-cycles centred on 6000, 3800 and 2200 cal BP, interpreted as instances of climate forcing of human demographic responses. The results strongly suggest the North Cape Current as a primary driver in the local environment and supports the patterns of covariance between coastal climate proxies and the palaeodemographic model. A mechanism of climate forcing mediation through marine trophic webs is proposed as a tentative explanation of the observed demographic fluxes, and a comparison with inter-regional results demonstrate remarkable similarity in demographic trends across mid-Holocene north and west Europe. The results of the north Norwegian radiocarbon record are thus consistent with independent, international efforts, corroborating the existing pan-European results and help further substantiate super-regional climate variability as the primary driver of population dynamics regardless of economic adaptation.},
keywords = {Archaeology,Human ecology,Human/climate covariation,Northern Norway,Palaeodemographic modelling,Summed probability distribution (SPD)}
}
@misc{Honea 1975: 279 Facorellis et al. 2010: 133 Table 3,
}
@misc{Banadora Aura J. 2012.QI,
}
@misc{Sampson et al. 2002: 48 62 Facorellis et al. 2010: 133 Table 3,
}
@misc{14SEA,
url = {http://www.14sea.org/},
note = {Reingruber, A., and Thissen, L. (2017). The 14SEA Project: A 14C database for Southeast Europe and Anatolia (10,000–3000 calBC). Updated 2017-01-31. http://www.14sea.org/index.html}
}
@misc{CalPal,
title = {CalPal Edition 2022.9},
author = {Weninger, Bernie},
year = {2022},
month = {sep},
doi = {1010.5281/zenodo.7422618},
url = {https://zenodo.org/record/7422618},
abstract = {CalPal is scientific freeware for 14C-based chronological research for Holocene and Palaeolithic Archaeology.},
copyright = {Creative Commons Attribution 4.0 International, Open Access},
howpublished = {Zenodo},
month_numeric = {9}
}
@dataset{BDA,
title = {Base de Données Archéologique (BDA)},
author = {Perrin, Thomas},
date = {2021-02-03},
publisher = {NAKALA},
doi = {10.34847/nkl.dde9fnm8},
url = {https://nakala.fr/10.34847/nkl.dde9fnm8},
urldate = {2023-09-07},
abstract = {Exports in .xlsx format of the main tables of the BDA database (Archaeological Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.},
langid = {french}
}
@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":"Facorellis et al. 2010: 133 Table 3","bibtex_type":"misc"}{"bibtex_key":"Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3","bibtex_type":"misc"}{"bibtex_key":"Honea 1975: 279, Facorellis et al. 2010: 133 Table 3","bibtex_type":"misc"}{"bibtex_key":"Brami 2011","bibtex_type":"misc"}{"bibtex_key":"Mazurié de Kéroualin 2001, p. 102.","bibtex_type":"misc"}[{"bibtex_key":"Jorgensen2020","bibtex_type":"article","title":"{The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic Norway: An Overview of Human-Climate Covariation}","shorttitle":"{The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic Norway}","author":"{Jørgensen, Erlend Kirkeng}","date":"{2020-05-30}","journaltitle":"{Quaternary International}","shortjournal":"{Quaternary International}","series":"{Long-Term Perspectives on Circumpolar Social-Ecological Systems}","volume":"{549}","pages":"{36–51}","issn":"{1040-6182}","doi":"{10.1016/j.quaint.2018.05.014}","url":"{https://www.sciencedirect.com/science/article/pii/S1040618217315124}","urldate":"{2023-09-07}","abstract":"{This paper presents the first palaeodemographic results of a newly assembled region-wide radiocarbon record of the Arctic regions of northern Norway. The dataset contains a comprehensive collection of radiocarbon dates in the area (N\\,= 1205) and spans the 10,000-year period of hunter-gatherer settlement history from 11500 to 1500 cal BP. Utilizing local, high-resolution palaeoclimate data, the paper performs multi-proxy correlation testing of climate and demographic dynamics, looking for hunter-gatherer responses to climate variability. The paper compares both long-term climate trends and short-term disruptive climate events with the demographic development in the region. The results demonstrate marked demographic fluctuations throughout the period, characterized by a general increase, punctuated by three significant boom and bust-cycles centred on 6000, 3800 and 2200 cal BP, interpreted as instances of climate forcing of human demographic responses. The results strongly suggest the North Cape Current as a primary driver in the local environment and supports the patterns of covariance between coastal climate proxies and the palaeodemographic model. A mechanism of climate forcing mediation through marine trophic webs is proposed as a tentative explanation of the observed demographic fluxes, and a comparison with inter-regional results demonstrate remarkable similarity in demographic trends across mid-Holocene north and west Europe. The results of the north Norwegian radiocarbon record are thus consistent with independent, international efforts, corroborating the existing pan-European results and help further substantiate super-regional climate variability as the primary driver of population dynamics regardless of economic adaptation.}","keywords":"{Archaeology,Human ecology,Human/climate covariation,Northern Norway,Palaeodemographic modelling,Summed probability distribution (SPD)}"}]{"bibtex_key":"Honea 1975: 279 Facorellis et al. 2010: 133 Table 3","bibtex_type":"misc"}{"bibtex_key":"Banadora Aura J. 2012.QI","bibtex_type":"misc"}{"bibtex_key":"Sampson et al. 2002: 48 62 Facorellis et al. 2010: 133 Table 3","bibtex_type":"misc"}[{"bibtex_key":"14SEA","bibtex_type":"misc","url":"{http://www.14sea.org/}","note":"{Reingruber, A., and Thissen, L. (2017). The 14SEA Project: A 14C database for Southeast Europe and Anatolia (10,000–3000 calBC). Updated 2017-01-31. http://www.14sea.org/index.html}"}][{"bibtex_key":"CalPal","bibtex_type":"misc","title":"{CalPal Edition 2022.9}","author":"{Weninger, Bernie}","year":"{2022}","month":"{sep}","doi":"{1010.5281/zenodo.7422618}","url":"{https://zenodo.org/record/7422618}","abstract":"{CalPal is scientific freeware for 14C-based chronological research for Holocene and Palaeolithic Archaeology.}","copyright":"{Creative Commons Attribution 4.0 International, Open Access}","howpublished":"{Zenodo}","month_numeric":"{9}"}][{"bibtex_key":"BDA","bibtex_type":"dataset","title":"{Base de Données Archéologique (BDA)}","author":"{Perrin, Thomas}","date":"{2021-02-03}","publisher":"{NAKALA}","doi":"{10.34847/nkl.dde9fnm8}","url":"{https://nakala.fr/10.34847/nkl.dde9fnm8}","urldate":"{2023-09-07}","abstract":"{Exports in .xlsx format of the main tables of the BDA database (Archaeological Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.}","langid":"{french}"}][{"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: 'Facorellis et al. 2010: 133 Table 3'
:bibtex_type: :misc
---
:bibtex_key: 'Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3'
:bibtex_type: :misc
---
:bibtex_key: 'Honea 1975: 279, Facorellis et al. 2010: 133 Table 3'
:bibtex_type: :misc
---
:bibtex_key: Brami 2011
:bibtex_type: :misc
---
:bibtex_key: Mazurié de Kéroualin 2001, p. 102.
:bibtex_type: :misc
---
- :bibtex_key: Jorgensen2020
:bibtex_type: :article
:title: "{The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic
Norway: An Overview of Human-Climate Covariation}"
:shorttitle: "{The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic
Norway}"
:author: "{Jørgensen, Erlend Kirkeng}"
:date: "{2020-05-30}"
:journaltitle: "{Quaternary International}"
:shortjournal: "{Quaternary International}"
:series: "{Long-Term Perspectives on Circumpolar Social-Ecological Systems}"
:volume: "{549}"
:pages: "{36–51}"
:issn: "{1040-6182}"
:doi: "{10.1016/j.quaint.2018.05.014}"
:url: "{https://www.sciencedirect.com/science/article/pii/S1040618217315124}"
:urldate: "{2023-09-07}"
:abstract: "{This paper presents the first palaeodemographic results of a newly
assembled region-wide radiocarbon record of the Arctic regions of northern Norway.
The dataset contains a comprehensive collection of radiocarbon dates in the area
(N\\,= 1205) and spans the 10,000-year period of hunter-gatherer settlement history
from 11500 to 1500 cal BP. Utilizing local, high-resolution palaeoclimate data,
the paper performs multi-proxy correlation testing of climate and demographic
dynamics, looking for hunter-gatherer responses to climate variability. The paper
compares both long-term climate trends and short-term disruptive climate events
with the demographic development in the region. The results demonstrate marked
demographic fluctuations throughout the period, characterized by a general increase,
punctuated by three significant boom and bust-cycles centred on 6000, 3800 and
2200 cal BP, interpreted as instances of climate forcing of human demographic
responses. The results strongly suggest the North Cape Current as a primary driver
in the local environment and supports the patterns of covariance between coastal
climate proxies and the palaeodemographic model. A mechanism of climate forcing
mediation through marine trophic webs is proposed as a tentative explanation of
the observed demographic fluxes, and a comparison with inter-regional results
demonstrate remarkable similarity in demographic trends across mid-Holocene north
and west Europe. The results of the north Norwegian radiocarbon record are thus
consistent with independent, international efforts, corroborating the existing
pan-European results and help further substantiate super-regional climate variability
as the primary driver of population dynamics regardless of economic adaptation.}"
:keywords: "{Archaeology,Human ecology,Human/climate covariation,Northern Norway,Palaeodemographic
modelling,Summed probability distribution (SPD)}"
---
:bibtex_key: 'Honea 1975: 279 Facorellis et al. 2010: 133 Table 3'
:bibtex_type: :misc
---
:bibtex_key: Banadora Aura J. 2012.QI
:bibtex_type: :misc
---
:bibtex_key: 'Sampson et al. 2002: 48 62 Facorellis et al. 2010: 133 Table 3'
:bibtex_type: :misc
---
- :bibtex_key: 14SEA
:bibtex_type: :misc
:url: "{http://www.14sea.org/}"
:note: "{Reingruber, A., and Thissen, L. (2017). The 14SEA Project: A 14C database
for Southeast Europe and Anatolia (10,000–3000 calBC). Updated 2017-01-31. http://www.14sea.org/index.html}"
---
- :bibtex_key: CalPal
:bibtex_type: :misc
:title: "{CalPal Edition 2022.9}"
:author: "{Weninger, Bernie}"
:year: "{2022}"
:month: "{sep}"
:doi: "{1010.5281/zenodo.7422618}"
:url: "{https://zenodo.org/record/7422618}"
:abstract: "{CalPal is scientific freeware for 14C-based chronological research
for Holocene and Palaeolithic Archaeology.}"
:copyright: "{Creative Commons Attribution 4.0 International, Open Access}"
:howpublished: "{Zenodo}"
:month_numeric: "{9}"
---
- :bibtex_key: BDA
:bibtex_type: :dataset
:title: "{Base de Données Archéologique (BDA)}"
:author: "{Perrin, Thomas}"
:date: "{2021-02-03}"
:publisher: "{NAKALA}"
:doi: "{10.34847/nkl.dde9fnm8}"
:url: "{https://nakala.fr/10.34847/nkl.dde9fnm8}"
:urldate: "{2023-09-07}"
:abstract: "{Exports in .xlsx format of the main tables of the BDA database (Archaeological
Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.}"
:langid: "{french}"
---
- :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}"