Site type

Location

200 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)
058.645° N, 156.182° W
Coordinates (DMS)
058° 38' 00" W, 156° 10' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (35)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
I-1157 charred wood; bois carbonisé NA NA 3090±200 BP 3820–2775 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
I-1158 charred wood; bois carbonisé NA NA 2110±350 BP 2879–1305 cal BP Stanford 1999: 291; Frison 1991; Hannus 1989; Haynes 1992: 360; Martin 1987; Stewart and Martin 1993; Faunmap 737 Bird et al. 2022
I-1159 charred wood; bois carbonisé NA NA 3050±250 BP 3893–2545 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
I-1160 charred wood; bois carbonisé NA NA 7360±250 BP 8717–7662 cal BP CARD Bird et al. 2022
I-1629 charred wood; bois carbonisé NA NA 3900±130 BP 4810–3930 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
I-1630 charred wood; bois carbonisé NA NA 3840±130 BP 4780–3849 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
I-1631 charred wood; bois carbonisé NA NA 1895±140 BP 2295–1422 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
I-1632 charred wood; bois carbonisé NA NA 670±105 BP 791–500 cal BP Capuzzo, Boaretto, and Barceló 2014 Bird et al. 2022
I-1633 charred wood; bois carbonisé NA NA 1790±130 BP 1992–1401 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
I-1634 charred wood; bois carbonisé NA NA 4240±250 BP 5471–4095 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277; Faunmap 4511 Bird et al. 2022
I-1635 charred wood; bois carbonisé NA NA 845±100 BP 956–567 cal BP Capuzzo, Boaretto, and Barceló 2014 Bird et al. 2022
I-1946 charred wood; bois carbonisé NA NA 4430±110 BP 5442–4824 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
I-1947 charred wood; bois carbonisé NA NA 3450±110 BP 3984–3450 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
I-1948 charred wood; bois carbonisé NA NA 2140±105 BP 2347–1842 cal BP CARD Bird et al. 2022
I-210 charred wood; bois carbonisé NA NA 1850±100 BP 1992–1538 cal BP Guthrie 1968; Faunmap 4517 Bird et al. 2022
I-3114 charred wood; bois carbonisé NA NA 3900±120 BP 4800–3977 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
I-3115 charred wood; bois carbonisé NA NA 3390±110 BP 3904–3385 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022
I-3116 charred wood; bois carbonisé NA NA 1690±110 BP 1822–1360 cal BP Ziolkowski et al 1994 Bird et al. 2022
I-517 charred wood; bois carbonisé NA NA 3125±200 BP 3828–2795 cal BP Druss 1977 Bird et al. 2022
I-518 charred wood; bois carbonisé NA NA 3250±200 BP 3980–2955 cal BP Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277,
  
}
@misc{Stanford 1999: 291; Frison 1991; Hannus 1989; Haynes 1992: 360; Martin 1987; Stewart and Martin 1993; Faunmap 737,
  
}
@misc{CARD,
  
}
@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{Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277; Faunmap 4511,
  
}
@misc{Guthrie 1968; Faunmap 4517,
  
}
@misc{Ziolkowski et al 1994,
  
}
@misc{Druss 1977,
  
}
@misc{Faunmap 47,
  
}
@misc{Benedict and Olson 1978; Faunmap 47,
  
}
@misc{Herbstritt 1988; Kinsey 1975; Kraft 1975; Faunmap 834,
  
}
@misc{Gordon 1996; Nash 1975,
  
}
@misc{Wilmeth 1978; Buckley and Willis 1972; Cox 1978; Tuck 1975 1976a 1978,
  
}
@misc{Faunmap 1251,
  
}
@misc{Mills 1994; Dumond 1987; West 1981; Dumond et al. 1976; Henn 1978,
  
}
@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":"Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277","bibtex_type":"misc"}{"bibtex_key":"Stanford 1999: 291; Frison 1991; Hannus 1989; Haynes 1992: 360; Martin 1987; Stewart and Martin 1993; Faunmap 737","bibtex_type":"misc"}{"bibtex_key":"CARD","bibtex_type":"misc"}[{"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":"Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman 1964: 274-277; Faunmap 4511","bibtex_type":"misc"}{"bibtex_key":"Guthrie 1968; Faunmap 4517","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"Druss 1977","bibtex_type":"misc"}{"bibtex_key":"Faunmap 47","bibtex_type":"misc"}{"bibtex_key":"Benedict and Olson 1978; Faunmap 47","bibtex_type":"misc"}{"bibtex_key":"Herbstritt 1988; Kinsey 1975; Kraft 1975; Faunmap 834","bibtex_type":"misc"}{"bibtex_key":"Gordon 1996; Nash 1975","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Buckley and Willis 1972; Cox 1978; Tuck 1975 1976a 1978","bibtex_type":"misc"}{"bibtex_key":"Faunmap 1251","bibtex_type":"misc"}{"bibtex_key":"Mills 1994; Dumond 1987; West 1981; Dumond et al. 1976; Henn 1978","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: 'Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman
  1964: 274-277'
:bibtex_type: :misc
---
:bibtex_key: 'Stanford 1999: 291; Frison 1991; Hannus 1989; Haynes 1992: 360; Martin
  1987; Stewart and Martin 1993; Faunmap 737'
:bibtex_type: :misc
---
:bibtex_key: CARD
:bibtex_type: :misc
---
- :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: 'Mills 1994; Buckley and Willis 1970: 111-114; Dumond 1981 1984; Trautman
  1964: 274-277; Faunmap 4511'
:bibtex_type: :misc
---
:bibtex_key: Guthrie 1968; Faunmap 4517
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: Druss 1977
:bibtex_type: :misc
---
:bibtex_key: Faunmap 47
:bibtex_type: :misc
---
:bibtex_key: Benedict and Olson 1978; Faunmap 47
:bibtex_type: :misc
---
:bibtex_key: Herbstritt 1988; Kinsey 1975; Kraft 1975; Faunmap 834
:bibtex_type: :misc
---
:bibtex_key: Gordon 1996; Nash 1975
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Buckley and Willis 1972; Cox 1978; Tuck 1975 1976a 1978
:bibtex_type: :misc
---
:bibtex_key: Faunmap 1251
:bibtex_type: :misc
---
:bibtex_key: Mills 1994; Dumond 1987; West 1981; Dumond et al. 1976; Henn 1978
: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