Site types
Fortified settlement and

Location

Coordinates (degrees)
052.510° N, 016.497° E
Coordinates (DMS)
052° 30' 00" E, 016° 29' 00" N
Country (ISO 3166)
Poland (PL)

radiocarbon date Radiocarbon dates (26)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Ki-9679 Schicht III; Schnitt F; sample: 366 collagen, bone NA NA 2460±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9684 Schicht III; Schnitt F; sample: 341 collagen, bone NA NA 2630±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9724 Schicht Iva; Schnitt B; sample: 218, Haus 2 collagen, bone NA NA 2620±50 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9678 Schicht III; Schnitt F; sample: 61 collagen, bone NA NA 2580±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9680 Schicht III; Schnitt G; sample: 424 collagen, bone NA NA 2920±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9681 Schicht IIIa; Schnitt B; sample: 21, Haus 2 collagen, bone NA NA 2590±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9683 Schicht III; Schnitt A; sample: 61 collagen, bone NA NA 2400±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9722 Schicht IIIa; Schnitt B; sample: 21, Haus 2 collagen, bone NA NA 2640±50 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9721 Schicht IIIa; Schnitt B; sample: 21 collagen, bone NA NA 2560±50 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9682 Schicht IVa; Schnitt B; sample: 218, Haus 2 collagen, bone NA NA 2570±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9685 Schicht III; Schnitt F; sample: 341 collagen, bone NA NA 2605±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9686 Schicht III; Schnitt A; sample: 61 collagen, bone NA NA 2450±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9723 Schicht Iva; Schnitt B; sample: 218, Haus 2 collagen, bone NA NA 2550±50 BP Malinowski 2004; Skripkin/Kovaljuch 2004, 152 Kneisel, Hinz, and Rinne 2014
Ki-9678 collagen bone NA NA 2580±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004 152 Bird et al. 2022
Ki-9679 collagen bone NA NA 2460±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004 152 Bird et al. 2022
Ki-9680 collagen bone NA NA 2920±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004 152 Bird et al. 2022
Ki-9681 collagen bone NA NA 2590±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004 152 Bird et al. 2022
Ki-9682 collagen bone NA NA 2570±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004 152 Bird et al. 2022
Ki-9683 collagen bone NA NA 2400±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004 152 Bird et al. 2022
Ki-9684 collagen bone NA NA 2630±60 BP Malinowski 2004; Skripkin/Kovaljuch 2004 152 Bird et al. 2022

typological date Typological dates (13)

Classification Estimated age References
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152
Late Bronze /Early Iron Age (spät Bronze-/früh Eisenzeit) NA Malinowski 2004; Skripkin/Kovaljuch 2004, 152

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Malinowski 2004; Skripkin/Kovaljuch 2004, 152]
  • No bibliographic information available. [Malinowski 2004; Skripkin/Kovaljuch 2004 152]
  • Kneisel, J., Hinz, M., & Rinne, C. (2014). RADON-B – Radiocarbon Dates Online (Version 2014). Database for European 14C Dates for the Bronze and Early Iron Age [Data set]. https://radon-b.ufg.uni-kiel.de [RADON-B]
  • 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{Malinowski 2004; Skripkin/Kovaljuch 2004, 152,
  
}
@misc{Malinowski 2004; Skripkin/Kovaljuch 2004 152,
  
}
@dataset{RADON-B,
  title = {RADON-B – Radiocarbon Dates Online (Version 2014).  Database for European 14C Dates for the Bronze and Early Iron Age},
  author = {Kneisel, Jutta and Hinz, Martin and Rinne, Christophe},
  date = {2014},
  url = {https://radon-b.ufg.uni-kiel.de},
  abstract = {The database provides a quick overview of 14C dates from Europe. The time frame was limited to the Bronze and Early Iron Ages and covers the period from 2300 BC to 500 BC. The database can be searched by geographic or chronological factors, but also according to the nature of the sample material, the sites or features. The data and related information were taken from the literature cited in each case, and due to the timing of phases and culture assignment, are subject to change. We therefore assume no responsibility for the accuracy of source data.}
}
@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":"Malinowski 2004; Skripkin/Kovaljuch 2004, 152","bibtex_type":"misc"}{"bibtex_key":"Malinowski 2004; Skripkin/Kovaljuch 2004 152","bibtex_type":"misc"}[{"bibtex_key":"RADON-B","bibtex_type":"dataset","title":"{RADON-B – Radiocarbon Dates Online (Version 2014).  Database for European 14C Dates for the Bronze and Early Iron Age}","author":"{Kneisel, Jutta and Hinz, Martin and Rinne, Christophe}","date":"{2014}","url":"{https://radon-b.ufg.uni-kiel.de}","abstract":"{The database provides a quick overview of 14C dates from Europe. The time frame was limited to the Bronze and Early Iron Ages and covers the period from 2300 BC to 500 BC. The database can be searched by geographic or chronological factors, but also according to the nature of the sample material, the sites or features. The data and related information were taken from the literature cited in each case, and due to the timing of phases and culture assignment, are subject to change. We therefore assume no responsibility for the accuracy of source data.}"}][{"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: Malinowski 2004; Skripkin/Kovaljuch 2004, 152
:bibtex_type: :misc
---
:bibtex_key: Malinowski 2004; Skripkin/Kovaljuch 2004 152
:bibtex_type: :misc
---
- :bibtex_key: RADON-B
  :bibtex_type: :dataset
  :title: "{RADON-B – Radiocarbon Dates Online (Version 2014).  Database for European
    14C Dates for the Bronze and Early Iron Age}"
  :author: "{Kneisel, Jutta and Hinz, Martin and Rinne, Christophe}"
  :date: "{2014}"
  :url: "{https://radon-b.ufg.uni-kiel.de}"
  :abstract: "{The database provides a quick overview of 14C dates from Europe. The
    time frame was limited to the Bronze and Early Iron Ages and covers the period
    from 2300 BC to 500 BC. The database can be searched by geographic or chronological
    factors, but also according to the nature of the sample material, the sites or
    features. The data and related information were taken from the literature cited
    in each case, and due to the timing of phases and culture assignment, are subject
    to change. We therefore assume no responsibility for the accuracy of source data.}"
---
- :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