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)
070.069° N, 029.915° E
Coordinates (DMS)
070° 04' 00" E, 029° 54' 00" N
Country (ISO 3166)
Norway (NO)

radiocarbon date Radiocarbon dates (13)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-398819 Charcoal NA NA 4570±30 BP 5440–5055 cal BP Pintal 1998 Bird et al. 2022
Beta-398820 Charcoal NA NA 4830±30 BP 5600–5477 cal BP Jørgensen 2020 Bird et al. 2022
Beta-398821 Charcoal NA NA 4500±30 BP 5296–5047 cal BP Jørgensen 2020 Bird et al. 2022
Beta-398822 Charcoal NA NA 4350±30 BP 5022–4850 cal BP Jørgensen 2020 Bird et al. 2022
Beta-398826 Charcoal NA NA 5560±30 BP 6396–6300 cal BP Jørgensen 2020 Bird et al. 2022
Beta-398828 Charcoal NA NA 3780±30 BP 4241–4015 cal BP Jørgensen 2020 Bird et al. 2022
Beta-398829 Charcoal NA NA 5840±30 BP 6735–6564 cal BP Pintal 1998 Bird et al. 2022
Beta-398830 Charcoal NA NA 5570±30 BP 6400–6300 cal BP Jørgensen 2020 Bird et al. 2022
Beta-398831 Charcoal NA NA 5730±30 BP 6627–6444 cal BP Jørgensen 2020 Bird et al. 2022
Beta-398833 Charcoal NA NA 5490±30 BP 6388–6210 cal BP Jørgensen 2020 Bird et al. 2022
Beta-398834 Charcoal NA NA 5480±30 BP 6310–6206 cal BP Jørgensen 2020 Bird et al. 2022
Beta-398835 Charcoal NA NA 5530±30 BP 6394–6286 cal BP Jørgensen 2020 Bird et al. 2022
Beta-398836 Charcoal NA NA 5470±30 BP 6306–6205 cal BP Jørgensen 2020 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Pintal 1998]
  • Jørgensen, E. K. (2020). The palaeodemographic and environmental dynamics of prehistoric Arctic Norway: an overview of human-climate covariation. Quaternary International, 549, 36–51. [Jørgensen 2017]
  • 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{Pintal 1998,
  
}
@article{jorgensen2020palaeodemographic,
  title = {The palaeodemographic and environmental dynamics of prehistoric Arctic Norway: an overview of human-climate covariation},
  author = {Jørgensen, Erlend Kirkeng},
  journal = {Quaternary International},
  volume = {549},
  pages = {36–51},
  year = {2020}
}
@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":"Pintal 1998","bibtex_type":"misc"}[{"bibtex_key":"jorgensen2020palaeodemographic","bibtex_type":"article","title":"{The palaeodemographic and environmental dynamics of prehistoric Arctic Norway: an overview of human-climate covariation}","author":"{Jørgensen, Erlend Kirkeng}","journal":"{Quaternary International}","volume":"{549}","pages":"{36–51}","year":"{2020}"}][{"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: Pintal 1998
:bibtex_type: :misc
---
- :bibtex_key: jorgensen2020palaeodemographic
  :bibtex_type: :article
  :title: "{The palaeodemographic and environmental dynamics of prehistoric Arctic
    Norway: an overview of human-climate covariation}"
  :author: "{Jørgensen, Erlend Kirkeng}"
  :journal: "{Quaternary International}"
  :volume: "{549}"
  :pages: "{36–51}"
  :year: "{2020}"
---
- :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