Dutch John sites

Site type

Location

Map Map with labels Imagery

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): 040.887° N, 109.508° W
Coordinates (DMS): 040° 53' 00" W, 109° 30' 00" N
Country (ISO 3166): United States (US)

Lab ID	Material	Taxon	Method	Uncalibrated age	Calibrated age	References
Beta-107701	CHARCOAL	NA	NA	600±40 BP	652–540 cal BP	PUGH 2000 Bird et al. 2022
Beta-107704	CHARCOAL	NA	NA	1070±30 BP	1056–925 cal BP	Loosle and Johnson 2000:107 Bird et al. 2022
Beta-107705	CHARCOAL	NA	RADIOMETRIC	3500±70 BP	3968–3575 cal BP	UWyo2021 Bird et al. 2022
Beta-107706	WOOD	piece of lean-to	NA	70±30 BP	258–31 cal BP	UWyo2021 Bird et al. 2022
Beta-107707	CHARCOAL	NA	NA	1160±40 BP	1178–961 cal BP	LOOSLE AND JOHNSON (EDITORS) 2000 Bird et al. 2022
Beta-107708	CHARCOAL	NA	NA	1170±40 BP	1179–971 cal BP	LOOSLE 1999 Bird et al. 2022
Beta-107709	CHARCOAL	NA	NA	1060±30 BP	1055–920 cal BP	LOOSLE AND JOHNSON (EDITORS) 2000 Bird et al. 2022
Beta-107710	CHARCOAL	NA	RADIOMETRIC	6310±60 BP	7419–7021 cal BP	UWyo2021 Bird et al. 2022
Beta-107711	CHARCOAL	NA	RADIOMETRIC	4110±40 BP	4820–4451 cal BP	LOOSLE 1999 Bird et al. 2022
Beta-107712	CHARCOAL	NA	RADIOMETRIC	2040±60 BP	2145–1829 cal BP	LOOSLE 1999 Bird et al. 2022
Beta-107713	CHARCOAL	NA	RADIOMETRIC	1820±60 BP	1869–1568 cal BP	Loosle 1999 Bird et al. 2022
Beta-121194	CHARCOAL	NA	RADIOMETRIC	1770±50 BP	1780–1538 cal BP	Loosle and Johnson 2000:37 Bird et al. 2022
Beta-121195	CHARCOAL	NA	RADIOMETRIC	1760±60 BP	1818–1532 cal BP	Loosle and Johnson 2000:37 Bird et al. 2022
Beta-121196	CHARCOAL	NA	RADIOMETRIC	1400±50 BP	1384–1177 cal BP	Loosle and Johnson 2000:37 Bird et al. 2022
Beta-121197	CHARCOAL	NA	RADIOMETRIC	1710±60 BP	1725–1416 cal BP	Loosle and Johnson 2000:37 Bird et al. 2022
Beta-121198	CHARCOAL	NA	RADIOMETRIC	1330±60 BP	1348–1077 cal BP	Loosle and Johnson 2000:37 Bird et al. 2022
Beta-121199	CHARCOAL	NA	NA	1620±60 BP	1691–1374 cal BP	PUGH 2000 Bird et al. 2022
Beta-121200	CHARCOAL	NA	NA	690±60 BP	723–551 cal BP	PUGH 2000 Bird et al. 2022
Beta-121201	CHARCOAL	NA	AMS	7120±90 BP	8167–7745 cal BP	PUGH 2000 Bird et al. 2022
Beta-132170	CHARCOAL	NA	RADIOMETRIC	3130±70 BP	3481–3165 cal BP	UWyo2021 Bird et al. 2022

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [PUGH 2000]
No bibliographic information available. [Loosle and Johnson 2000:107]
No bibliographic information available. [UWyo2021]
No bibliographic information available. [LOOSLE AND JOHNSON (EDITORS) 2000]
No bibliographic information available. [LOOSLE 1999]
No bibliographic information available. [Loosle 1999]
No bibliographic information available. [Loosle and Johnson 2000:37]
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{PUGH 2000,
  
}
@misc{Loosle and Johnson 2000:107,
  
}
@misc{UWyo2021,
  
}
@misc{LOOSLE AND JOHNSON (EDITORS) 2000,
  
}
@misc{LOOSLE 1999,
  
}
@misc{Loosle 1999,
  
}
@misc{Loosle and Johnson 2000:37,
  
}
@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":"PUGH 2000","bibtex_type":"misc"}{"bibtex_key":"Loosle and Johnson 2000:107","bibtex_type":"misc"}{"bibtex_key":"UWyo2021","bibtex_type":"misc"}{"bibtex_key":"LOOSLE AND JOHNSON (EDITORS) 2000","bibtex_type":"misc"}{"bibtex_key":"LOOSLE 1999","bibtex_type":"misc"}{"bibtex_key":"Loosle 1999","bibtex_type":"misc"}{"bibtex_key":"Loosle and Johnson 2000:37","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: PUGH 2000
:bibtex_type: :misc
---
:bibtex_key: Loosle and Johnson 2000:107
:bibtex_type: :misc
---
:bibtex_key: UWyo2021
:bibtex_type: :misc
---
:bibtex_key: LOOSLE AND JOHNSON (EDITORS) 2000
:bibtex_type: :misc
---
:bibtex_key: LOOSLE 1999
:bibtex_type: :misc
---
:bibtex_key: Loosle 1999
:bibtex_type: :misc
---
:bibtex_key: Loosle and Johnson 2000:37
: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

Imported from source database via c14bazAAR

XRONOS development team 2022-12-02 00:50:45 UTC

Location

Linked Data

Radiocarbon dates (26)

Typological dates (0)

Bibliographic references

Changelog

Imported from source database via c14bazAAR