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)
047.369° N, 012.387° E
Coordinates (DMS)
047° 22' 00" E, 012° 23' 00" N
Country (ISO 3166)
Austria (AT)

radiocarbon date Radiocarbon dates (15)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
VERA-1265 charcoal NA 14C 3160±30 BP 3449–3275 cal BP Capuzzo, Boaretto, and Barceló 2014 Weninger 2022
VERA-1266 charcoal NA 14C 3065±30 BP 3361–3209 cal BP Capuzzo, Boaretto, and Barceló 2014 Weninger 2022
VERA-1267 charcoal NA 14C 3220±30 BP 3481–3380 cal BP Capuzzo, Boaretto, and Barceló 2014 Weninger 2022
VERA-1268 charcoal NA 14C 3100±35 BP 3384–3220 cal BP Capuzzo, Boaretto, and Barceló 2014 Weninger 2022
VERA-1269 charcoal NA 14C 3025±35 BP 3345–3079 cal BP Capuzzo, Boaretto, and Barceló 2014 Weninger 2022
VERA-1269 Joch A 40, horno 4 Madera carbonizada NA NA 3025±35 BP 3345–3079 cal BP GOLDENBERG G. 2004, pp. 165-176.
VERA-1266 Joch A 37, zona de fundición (Röstbett) Madera carbonizada NA NA 3065±30 BP 3361–3209 cal BP GOLDENBERG G. 2004, pp. 165-176.
VERA-1268 Joch A 39, horno 3 Madera carbonizada NA NA 3100±35 BP 3384–3220 cal BP GOLDENBERG G. 2004, pp. 165-176.
VERA-1265 Joch A 36, estrato de carbones Madera carbonizada NA NA 3160±30 BP 3449–3275 cal BP GOLDENBERG G. 2004, pp. 165-176.
VERA-1267 Joch A 38, horno 2 Madera carbonizada NA NA 3220±30 BP 3481–3380 cal BP GOLDENBERG G. 2004, pp. 165-176.
VERA-1265 charcoal NA NA 3160±30 BP 3449–3275 cal BP Capuzzo, Boaretto, and Barceló 2014 Bird et al. 2022
VERA-1266 charcoal NA NA 3065±30 BP 3361–3209 cal BP Capuzzo, Boaretto, and Barceló 2014 Bird et al. 2022
VERA-1267 charcoal NA NA 3220±30 BP 3481–3380 cal BP Capuzzo, Boaretto, and Barceló 2014 Bird et al. 2022
VERA-1268 charcoal NA NA 3100±35 BP 3384–3220 cal BP Capuzzo, Boaretto, and Barceló 2014 Bird et al. 2022
VERA-1269 charcoal NA NA 3025±35 BP 3345–3079 cal BP Djindjian F. 1999. Le Paleolithique superieur en Europe. Paris Collin. Bolus Arch. 2006. Korr 36: 1-1. Pacher M. 2001. CAD. LAB. XEOL. LAKE 26:304. Verpoorte A. 2012. AK 42: 135-142.. Moreau J. 2015. JHE 78: 158-180. Bird et al. 2022

typological date Typological dates (5)

Classification Estimated age References
Bronze Age NA Capuzzo, Boaretto, and Barceló 2014
Bronze Age NA Capuzzo, Boaretto, and Barceló 2014
Bronze Age NA Capuzzo, Boaretto, and Barceló 2014
Bronze Age NA Capuzzo, Boaretto, and Barceló 2014
Bronze Age NA Capuzzo, Boaretto, and Barceló 2014

Bibliographic reference Bibliographic references

@article{CapuzzoEtAl2014,
  title = {EUBAR: A Database of 14C Measurements for the European Bronze Age. A Bayesian Analysis of 14C-Dated Archaeological Contexts from Northern Italy and Southern France},
  shorttitle = {EUBAR},
  author = {Capuzzo, Giacomo and Boaretto, Elisabetta and Barceló, Juan A.},
  year = {2014},
  month = {jan},
  journal = {Radiocarbon},
  volume = {56},
  number = {2},
  pages = {851–869},
  issn = {0033-8222, 1945-5755},
  doi = {10.2458/56.17453},
  abstract = {The chronological framework of European protohistory is mostly a relative chronology based on typology and stratigraphic data. Synchronization of different time periods suffers from a lack of absolute dates; therefore, disagreements between different chronological schemes are difficult to reconcile. An alternative approach was applied in this study to build a more precise and accurate absolute chronology. To the best of our knowledge, we have collected all the published 14C dates for the archaeological sites in the region from the Ebro River (Spain) to the Middle Danube Valley (Austria) for the period 1800–750 BC. The available archaeological information associated with the 14C dates was organized in a database that totaled more than 1600 14C dates. In order to build an accurate and precise chronology, quality selection rules have been applied to the 14C dates based on both archaeological context and analytical quality. Using the OxCal software and Bayesian analysis, several 14C time sequences were created following the archaeological data and different possible scenarios were tested in northern Italy and southern France.},
  langid = {english},
  month_numeric = {1}
}
@misc{GOLDENBERG G. 2004, pp. 165-176.,
  
}
@misc{Djindjian F.  1999. Le Paleolithique superieur en Europe. Paris Collin. Bolus  Arch. 2006. Korr 36: 1-1. Pacher M. 2001. CAD. LAB. XEOL. LAKE 26:304. Verpoorte A. 2012. AK 42: 135-142.. Moreau J.  2015. JHE 78: 158-180.,
  
}
@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}
}
@misc{EUBAR,
  url = {https://telearchaeology.org/EUBAR/},
  note = {CAPUZZO G, BOARETTO E, BARCELÓ JA. 2014. EUBAR: A database of 14C measurements for the European Bronze Age. A Bayesian analysis of 14C-dated archaeological contexts from Northern Italy and Southern France. Radiocarbon 56(2):851-69.}
}
@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":"CapuzzoEtAl2014","bibtex_type":"article","title":"{EUBAR: A Database of 14C Measurements for the European Bronze Age. A Bayesian Analysis of 14C-Dated Archaeological Contexts from Northern Italy and Southern France}","shorttitle":"{EUBAR}","author":"{Capuzzo, Giacomo and Boaretto, Elisabetta and Barceló, Juan A.}","year":"{2014}","month":"{jan}","journal":"{Radiocarbon}","volume":"{56}","number":"{2}","pages":"{851–869}","issn":"{0033-8222, 1945-5755}","doi":"{10.2458/56.17453}","abstract":"{The chronological framework of European protohistory is mostly a relative chronology based on typology and stratigraphic data. Synchronization of different time periods suffers from a lack of absolute dates; therefore, disagreements between different chronological schemes are difficult to reconcile. An alternative approach was applied in this study to build a more precise and accurate absolute chronology. To the best of our knowledge, we have collected all the published 14C dates for the archaeological sites in the region from the Ebro River (Spain) to the Middle Danube Valley (Austria) for the period 1800–750 BC. The available archaeological information associated with the 14C dates was organized in a database that totaled more than 1600 14C dates. In order to build an accurate and precise chronology, quality selection rules have been applied to the 14C dates based on both archaeological context and analytical quality. Using the OxCal software and Bayesian analysis, several 14C time sequences were created following the archaeological data and different possible scenarios were tested in northern Italy and southern France.}","langid":"{english}","month_numeric":"{1}"}]{"bibtex_key":"GOLDENBERG G. 2004, pp. 165-176.","bibtex_type":"misc"}{"bibtex_key":"Djindjian F.  1999. Le Paleolithique superieur en Europe. Paris Collin. Bolus  Arch. 2006. Korr 36: 1-1. Pacher M. 2001. CAD. LAB. XEOL. LAKE 26:304. Verpoorte A. 2012. AK 42: 135-142.. Moreau J.  2015. JHE 78: 158-180.","bibtex_type":"misc"}[{"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":"EUBAR","bibtex_type":"misc","url":"{https://telearchaeology.org/EUBAR/}","note":"{CAPUZZO G, BOARETTO E, BARCELÓ JA. 2014. EUBAR: A database of 14C measurements for the European Bronze Age. A Bayesian analysis of 14C-dated archaeological contexts from Northern Italy and Southern France. Radiocarbon 56(2):851-69.}"}][{"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: CapuzzoEtAl2014
  :bibtex_type: :article
  :title: "{EUBAR: A Database of 14C Measurements for the European Bronze Age. A Bayesian
    Analysis of 14C-Dated Archaeological Contexts from Northern Italy and Southern
    France}"
  :shorttitle: "{EUBAR}"
  :author: "{Capuzzo, Giacomo and Boaretto, Elisabetta and Barceló, Juan A.}"
  :year: "{2014}"
  :month: "{jan}"
  :journal: "{Radiocarbon}"
  :volume: "{56}"
  :number: "{2}"
  :pages: "{851–869}"
  :issn: "{0033-8222, 1945-5755}"
  :doi: "{10.2458/56.17453}"
  :abstract: "{The chronological framework of European protohistory is mostly a relative
    chronology based on typology and stratigraphic data. Synchronization of different
    time periods suffers from a lack of absolute dates; therefore, disagreements between
    different chronological schemes are difficult to reconcile. An alternative approach
    was applied in this study to build a more precise and accurate absolute chronology.
    To the best of our knowledge, we have collected all the published 14C dates for
    the archaeological sites in the region from the Ebro River (Spain) to the Middle
    Danube Valley (Austria) for the period 1800–750 BC. The available archaeological
    information associated with the 14C dates was organized in a database that totaled
    more than 1600 14C dates. In order to build an accurate and precise chronology,
    quality selection rules have been applied to the 14C dates based on both archaeological
    context and analytical quality. Using the OxCal software and Bayesian analysis,
    several 14C time sequences were created following the archaeological data and
    different possible scenarios were tested in northern Italy and southern France.}"
  :langid: "{english}"
  :month_numeric: "{1}"
---
:bibtex_key: GOLDENBERG G. 2004, pp. 165-176.
:bibtex_type: :misc
---
:bibtex_key: 'Djindjian F.  1999. Le Paleolithique superieur en Europe. Paris Collin.
  Bolus  Arch. 2006. Korr 36: 1-1. Pacher M. 2001. CAD. LAB. XEOL. LAKE 26:304. Verpoorte
  A. 2012. AK 42: 135-142.. Moreau J.  2015. JHE 78: 158-180.'
:bibtex_type: :misc
---
- :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: EUBAR
  :bibtex_type: :misc
  :url: "{https://telearchaeology.org/EUBAR/}"
  :note: "{CAPUZZO G, BOARETTO E, BARCELÓ JA. 2014. EUBAR: A database of 14C measurements
    for the European Bronze Age. A Bayesian analysis of 14C-dated archaeological contexts
    from Northern Italy and Southern France. Radiocarbon 56(2):851-69.}"
---
- :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