Site type

Location

100 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
047.155° N, 007.667° E
Coordinates (DMS)
047° 09' 00" E, 007° 39' 00" N
Country (ISO 3166)
Switzerland (CH)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
B-114 charcoal NA NA 4390±80 BP 5286–4840 cal BP Breunig 1987 199 201; Müller-Beck/Oeschger 1967 Bird et al. 2022
B-115 wood NA NA 4950±90 BP 5907–5481 cal BP Breunig 1987 199; Oeschger et al. 1959 141 Bird et al. 2022
B-116 wood NA NA 4930±120 BP 5923–5330 cal BP Müller-Beck 1961 434; Müller-Beck/Oeschger 1967 Bird et al. 2022
B-120 wood NA NA 4500±100 BP 5446–4861 cal BP Breunig 1987 199; Oeschger et al. 1959 141 Bird et al. 2022
B-121 wood NA NA 4680±100 BP 5595–5051 cal BP Breunig 1987 199; Oeschger et al. 1959 141 Bird et al. 2022
B-122 wood NA NA 4750±100 BP 5717–5142 cal BP Breunig 1987 199; Oeschger et al. 1959 141 Bird et al. 2022
B-123 wood NA NA 4530±100 BP 5463–4872 cal BP Breunig 1987 199; Oeschger et al. 1959 141 Bird et al. 2022
B-125 wood NA NA 4550±100 BP 5472–4877 cal BP Breunig 1987 200; Oeschger et al. 1959 142 Bird et al. 2022
B-126 wood NA NA 4500±110 BP 5462–4854 cal BP Breunig 1987 199; Oeschger et al. 1959 141 Bird et al. 2022
B-244 charcoal NA NA 4790±120 BP 5891–5075 cal BP Breunig 1987 200 Bird et al. 2022
B-245 collagen bone NA NA 4630±120 BP 5590–4970 cal BP Breunig 1987 199 Bird et al. 2022
LJ-1293 wood NA NA 5060±35 BP 5905–5728 cal BP Ferguson et al. 1966 199f.; Breunig 1987 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Breunig 1987 199 201; Müller-Beck/Oeschger 1967,
  
}
@misc{Breunig 1987 199; Oeschger et al. 1959 141,
  
}
@misc{Müller-Beck 1961 434; Müller-Beck/Oeschger 1967,
  
}
@misc{Breunig 1987 200; Oeschger et al. 1959 142,
  
}
@misc{Breunig 1987 200,
  
}
@misc{Breunig 1987 199,
  
}
@misc{Ferguson et al. 1966 199f.; Breunig 1987,
  
}
@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":"Breunig 1987 199 201; Müller-Beck/Oeschger 1967","bibtex_type":"misc"}{"bibtex_key":"Breunig 1987 199; Oeschger et al. 1959 141","bibtex_type":"misc"}{"bibtex_key":"Müller-Beck 1961 434; Müller-Beck/Oeschger 1967","bibtex_type":"misc"}{"bibtex_key":"Breunig 1987 200; Oeschger et al. 1959 142","bibtex_type":"misc"}{"bibtex_key":"Breunig 1987 200","bibtex_type":"misc"}{"bibtex_key":"Breunig 1987 199","bibtex_type":"misc"}{"bibtex_key":"Ferguson et al. 1966 199f.; Breunig 1987","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: Breunig 1987 199 201; Müller-Beck/Oeschger 1967
:bibtex_type: :misc
---
:bibtex_key: Breunig 1987 199; Oeschger et al. 1959 141
:bibtex_type: :misc
---
:bibtex_key: Müller-Beck 1961 434; Müller-Beck/Oeschger 1967
:bibtex_type: :misc
---
:bibtex_key: Breunig 1987 200; Oeschger et al. 1959 142
:bibtex_type: :misc
---
:bibtex_key: Breunig 1987 200
:bibtex_type: :misc
---
:bibtex_key: Breunig 1987 199
:bibtex_type: :misc
---
:bibtex_key: Ferguson et al. 1966 199f.; Breunig 1987
: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}"

Changelog