Site type

Location

Coordinates (degrees)
NA
Coordinates (DMS)
NA
Country (ISO 3166)
Greece (GR)

radiocarbon date 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 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 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 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 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 Facorellis et al. 2010: 133 Table 3
Poz‐2200 Tr. 3 Charcoal: Angiosperm NA NA 9440±40 BP Facorellis et al. 2010: 133 Table 3
Poz‐6486 Tr. 2 Charcoal: Angiosperm NA NA 9420±50 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 Facorellis et al. 2010: 133 Table 3
UCIAMS‐26186 Tr. 2, sq. 11, ▼0.20 m Charcoal: Angiosperm NA NA 9415±30 BP Facorellis et al. 2010: 133 Table 3
UCIAMS‐26188 Tr. 2, sq. 10, ▼0.30 m Charcoal: Angiosperm NA NA 9405±30 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 Facorellis et al. 2010: 133 Table 3
UCIAMS‐26184 Tr. 2, sq. 11, ▼0.15 m Charcoal: Angiosperm NA NA 9385±35 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 Facorellis et al. 2010: 133 Table 3
UCIAMS‐26182 Tr. 2, sq. 11, ▼0.10 m Charcoal: Angiosperm NA NA 9350±35 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 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 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 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 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 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 Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3

typological date Typological dates (25)

Classification Estimated age References
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Facorellis et al. 2010: 133 Table 3
Meso NA Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3
Meso NA Honea 1975: 279, Facorellis et al. 2010: 133 Table 3
Neo NA Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3
Neo NA Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3
Neo NA Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3
Neo NA Sampson et al. 2002: 48, 62, Facorellis et al. 2010: 133 Table 3
Epipalaeolithic NA NA

Bibliographic reference Bibliographic references

@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}"

Changelog