UB-356

radiocarbon date Radiocarbon date from Ballynagilly, c. 4524–4095 cal BP
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

Measurement

Age (uncal BP)
3905
Error (±)
75
Lab
NA
Method
NA
Sample material
charcoal
Sample taxon
NA

Calibration

Calibration curve
IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, cal BP)
  • 4524–4145
  • 4121–4095

Context

Site
Ballynagilly
Context
Sample position
NA
Sample coordinates
NA

Bibliographic reference Bibliographic references (39)

@misc{Whittle et al. 2011b 591,
  
}
@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}
}
@dataset{IRDD,
  title = {Catalogue of Radiocarbon Determinations & Dendrochronology Dates (August 2019 Release)},
  author = {Chapple, Robert M},
  date = {2019},
  publisher = {Oculus Obscura Press},
  location = {Belfast},
  url = {https://sites.google.com/site/chapplearchaeology/irish-radiocarbon-dendrochronological-dates}
}
@misc{H743837,
  
}
@misc{Whittle et al. 2011b, 602,
  
}
@misc{Whittle et al. 2011,
  
}
@misc{Whittle et al. 2011; Smith et al. 1971,
  
}
@misc{Whittle et al. 2011b, 589,
  
}
@misc{McSparron 2003, 10; Waddell 2000, 54; Smith, Pearson & Pilcher 1973a, 218; Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.6; McSparron 2008, 20; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 602,
  
}
@misc{McSparron 2003, 10; Waddell 2000, 54; Eogan & Roche 1997, 40; Lavell 1971, 3B.4; McSparron 2008, 20; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 602,
  
}
@misc{McSparron 2003, 10; Waddell 2000, 54; Eogan & Roche 1997, 40; Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.4; McSparron 2008, 20; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 588,
  
}
@misc{McSparron 2003, 10; Waddell 2000, 54; Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.4; McSparron 2008, 20; Herity 1982, 288,
  
}
@misc{ApSimon 1969, 167; Ó Nualláin 1976, 114; McSparron 2003, 10; Case 1969, 10; Ó Nualláin 1972, 56; O'Kelly 1989, 348; Waddell 2000, 54; Eogan & Roche 1997, 40; Smith, Pearson & Pilcher 1970a, 289; Lavell 1971, 3B.1; McSparron 2008, 20; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 588,
  
}
@misc{Williams & Robinson 1983, 33; Smith, Pearson & Pilcher 1970a, 289; Lavell 1971, 3B.1,
  
}
@misc{ApSimon 1969, 167; Case 1969, 10; Smith, Pearson & Pilcher 1970a, 289-290,
  
}
@misc{ApSimon 1969, 167; Case 1969, 10,
  
}
@misc{Case 1969, 12; Waddell 2000, 53; Smith, Pearson & Pilcher 1973a, 218; Smith, Pearson & Pilcher 1970a, 289; Lavell 1971, 3B.1; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 602,
  
}
@misc{O'Kelly 1989, 348; Smith, Pearson & Pilcher 1973a, 219; Lavell 1971, 3B.6,
  
}
@misc{Waddell 2000, 53; Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.4; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 602; Meiklejohn & Woodman 2012, 25,
  
}
@misc{Waddell 2000, 53; Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.4; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 659,
  
}
@misc{Waddell 2000, 53; Smith, Pearson & Pilcher 1973a, 218; Lavell 1971, 3B.6; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 659,
  
}
@misc{Waddell 2000, 53, 54; Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.4; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 659,
  
}
@misc{Waddell 2000, 53, 54; Smith, Pearson & Pilcher 1973a, 218; Lavell 1971, 3B.6; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 659,
  
}
@misc{Smith, Pearson & Pilcher 1973a, 218; Lavell 1971, 3B.6,
  
}
@misc{Smith, Pearson & Pilcher 1973a, 219,
  
}
@misc{Smith, Pearson & Pilcher 1973a, 219; Lavell 1971, 3B.6,
  
}
@misc{Smith, Pearson & Pilcher 1973b, 599,
  
}
@misc{Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.4; Eogan 1984, 322,
  
}
@misc{Smith, Pearson & Pilcher 1971a, 107; Lavell 1971, 3B.4,
  
}
@misc{Smith, Pearson & Pilcher 1971a, 107; Lavell 1971, 3B.4; Eogan 1984, 322,
  
}
@misc{Pers. Comm A. Bevan,
  
}
@misc{Pers. Comm. Rowan McLaughlin, via Cultivating Societies,
  
}
@misc{Bevan2017; EUROEVOL; RADON,
  
}
@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{Whittle et al. 2011b 602,
  
}
@misc{Whittle et al. 2011b 589,
  
}
@dataset{EUROEVOL,
  title = {The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset},
  author = {Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan, S.},
  date = {2015-07-09},
  url = {https://discovery.ucl.ac.uk/id/eprint/1469811/},
  urldate = {2023-09-07},
  abstract = {This dataset comprises the primary data collected for the Cultural Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan, UCL. The dataset offers the largest repository of archaeological site and radiocarbon data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating between the late Mesolithic and Early Bronze Age, as well as the largest collections of archaeobotanical data (>8300 records for 729 different species, genera and families, and the largest collection of animal bone data with >3 million NISP counts and >36,000 biometrics.},
  langid = {english}
}
@misc{Bevan2017; CALPAL; EUROEVOL; RADON,
  
}
@misc{Whittle et al. 2011b 609,
  
}
{"bibtex_key":"Whittle et al. 2011b 591","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. 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Comm A. Bevan","bibtex_type":"misc"}{"bibtex_key":"Pers. Comm. Rowan McLaughlin, via Cultivating Societies","bibtex_type":"misc"}{"bibtex_key":"Bevan2017; EUROEVOL; RADON","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":"Whittle et al. 2011b 602","bibtex_type":"misc"}{"bibtex_key":"Whittle et al. 2011b 589","bibtex_type":"misc"}[{"bibtex_key":"EUROEVOL","bibtex_type":"dataset","title":"{The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset}","author":"{Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan, S.}","date":"{2015-07-09}","url":"{https://discovery.ucl.ac.uk/id/eprint/1469811/}","urldate":"{2023-09-07}","abstract":"{This dataset comprises the primary data collected for the Cultural Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan, UCL. The dataset offers the largest repository of archaeological site and radiocarbon data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating between the late Mesolithic and Early Bronze Age, as well as the largest collections of archaeobotanical data (>8300 records for 729 different species, genera and families, and the largest collection of animal bone data with >3 million NISP counts and >36,000 biometrics.}","langid":"{english}"}]{"bibtex_key":"Bevan2017; CALPAL; EUROEVOL; RADON","bibtex_type":"misc"}{"bibtex_key":"Whittle et al. 2011b 609","bibtex_type":"misc"}
---
:bibtex_key: Whittle et al. 2011b 591
: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: IRDD
  :bibtex_type: :dataset
  :title: "{Catalogue of Radiocarbon Determinations & Dendrochronology Dates (August
    2019 Release)}"
  :author: "{Chapple, Robert M}"
  :date: "{2019}"
  :publisher: "{Oculus Obscura Press}"
  :location: "{Belfast}"
  :url: "{https://sites.google.com/site/chapplearchaeology/irish-radiocarbon-dendrochronological-dates}"
---
:bibtex_key: H743837
:bibtex_type: :misc
---
:bibtex_key: Whittle et al. 2011b, 602
:bibtex_type: :misc
---
:bibtex_key: Whittle et al. 2011
:bibtex_type: :misc
---
:bibtex_key: Whittle et al. 2011; Smith et al. 1971
:bibtex_type: :misc
---
:bibtex_key: Whittle et al. 2011b, 589
:bibtex_type: :misc
---
:bibtex_key: McSparron 2003, 10; Waddell 2000, 54; Smith, Pearson & Pilcher 1973a,
  218; Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.6; McSparron 2008, 20;
  Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan
  2011, 602
:bibtex_type: :misc
---
:bibtex_key: McSparron 2003, 10; Waddell 2000, 54; Eogan & Roche 1997, 40; Lavell
  1971, 3B.4; McSparron 2008, 20; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney,
  Mallory, Smyth, Kador & O'Sullivan 2011, 602
:bibtex_type: :misc
---
:bibtex_key: McSparron 2003, 10; Waddell 2000, 54; Eogan & Roche 1997, 40; Smith,
  Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.4; McSparron 2008, 20; Cooney, Bayliss,
  Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 588
:bibtex_type: :misc
---
:bibtex_key: McSparron 2003, 10; Waddell 2000, 54; Smith, Pearson & Pilcher 1971a,
  106; Lavell 1971, 3B.4; McSparron 2008, 20; Herity 1982, 288
:bibtex_type: :misc
---
:bibtex_key: ApSimon 1969, 167; Ó Nualláin 1976, 114; McSparron 2003, 10; Case 1969,
  10; Ó Nualláin 1972, 56; O'Kelly 1989, 348; Waddell 2000, 54; Eogan & Roche 1997,
  40; Smith, Pearson & Pilcher 1970a, 289; Lavell 1971, 3B.1; McSparron 2008, 20;
  Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan
  2011, 588
:bibtex_type: :misc
---
:bibtex_key: Williams & Robinson 1983, 33; Smith, Pearson & Pilcher 1970a, 289; Lavell
  1971, 3B.1
:bibtex_type: :misc
---
:bibtex_key: ApSimon 1969, 167; Case 1969, 10; Smith, Pearson & Pilcher 1970a, 289-290
:bibtex_type: :misc
---
:bibtex_key: ApSimon 1969, 167; Case 1969, 10
:bibtex_type: :misc
---
:bibtex_key: Case 1969, 12; Waddell 2000, 53; Smith, Pearson & Pilcher 1973a, 218;
  Smith, Pearson & Pilcher 1970a, 289; Lavell 1971, 3B.1; Cooney, Bayliss, Healy,
  Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan 2011, 602
:bibtex_type: :misc
---
:bibtex_key: O'Kelly 1989, 348; Smith, Pearson & Pilcher 1973a, 219; Lavell 1971,
  3B.6
:bibtex_type: :misc
---
:bibtex_key: Waddell 2000, 53; Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.4;
  Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan
  2011, 602; Meiklejohn & Woodman 2012, 25
:bibtex_type: :misc
---
:bibtex_key: Waddell 2000, 53; Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.4;
  Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan
  2011, 659
:bibtex_type: :misc
---
:bibtex_key: Waddell 2000, 53; Smith, Pearson & Pilcher 1973a, 218; Lavell 1971, 3B.6;
  Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador & O'Sullivan
  2011, 659
:bibtex_type: :misc
---
:bibtex_key: Waddell 2000, 53, 54; Smith, Pearson & Pilcher 1971a, 106; Lavell 1971,
  3B.4; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador &
  O'Sullivan 2011, 659
:bibtex_type: :misc
---
:bibtex_key: Waddell 2000, 53, 54; Smith, Pearson & Pilcher 1973a, 218; Lavell 1971,
  3B.6; Cooney, Bayliss, Healy, Whittle, Danaher, Cagney, Mallory, Smyth, Kador &
  O'Sullivan 2011, 659
:bibtex_type: :misc
---
:bibtex_key: Smith, Pearson & Pilcher 1973a, 218; Lavell 1971, 3B.6
:bibtex_type: :misc
---
:bibtex_key: Smith, Pearson & Pilcher 1973a, 219
:bibtex_type: :misc
---
:bibtex_key: Smith, Pearson & Pilcher 1973a, 219; Lavell 1971, 3B.6
:bibtex_type: :misc
---
:bibtex_key: Smith, Pearson & Pilcher 1973b, 599
:bibtex_type: :misc
---
:bibtex_key: Smith, Pearson & Pilcher 1971a, 106; Lavell 1971, 3B.4; Eogan 1984, 322
:bibtex_type: :misc
---
:bibtex_key: Smith, Pearson & Pilcher 1971a, 107; Lavell 1971, 3B.4
:bibtex_type: :misc
---
:bibtex_key: Smith, Pearson & Pilcher 1971a, 107; Lavell 1971, 3B.4; Eogan 1984, 322
:bibtex_type: :misc
---
:bibtex_key: Pers. Comm A. Bevan
:bibtex_type: :misc
---
:bibtex_key: Pers. Comm. Rowan McLaughlin, via Cultivating Societies
:bibtex_type: :misc
---
:bibtex_key: Bevan2017; EUROEVOL; RADON
: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: Whittle et al. 2011b 602
:bibtex_type: :misc
---
:bibtex_key: Whittle et al. 2011b 589
:bibtex_type: :misc
---
- :bibtex_key: EUROEVOL
  :bibtex_type: :dataset
  :title: "{The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset}"
  :author: "{Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan,
    S.}"
  :date: "{2015-07-09}"
  :url: "{https://discovery.ucl.ac.uk/id/eprint/1469811/}"
  :urldate: "{2023-09-07}"
  :abstract: "{This dataset comprises the primary data collected for the Cultural
    Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan,
    UCL. The dataset offers the largest repository of archaeological site and radiocarbon
    data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating
    between the late Mesolithic and Early Bronze Age, as well as the largest collections
    of archaeobotanical data (>8300 records for 729 different species, genera and
    families, and the largest collection of animal bone data with >3 million NISP
    counts and >36,000 biometrics.}"
  :langid: "{english}"
---
:bibtex_key: Bevan2017; CALPAL; EUROEVOL; RADON
:bibtex_type: :misc
---
:bibtex_key: Whittle et al. 2011b 609
:bibtex_type: :misc

Changelog