Sunflower – XRONOS

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): 035.343° N, 118.730° W
Coordinates (DMS): 035° 20' 00" W, 118° 43' 00" N
Country (ISO 3166): United States (US)

Lab ID	Material	Taxon	Method	Uncalibrated age	Calibrated age	References
Beta-123226	CHARCOAL	NA	NA	1750±50 BP	1730–1538 cal BP	Basgall Giambastiani 1999 Bird et al. 2022
Beta-123227	CHARCOAL	NA	NA	2070±50 BP	2288–1889 cal BP	Basgall Giambastiani 1999 Bird et al. 2022
Beta-123228	CHARCOAL	NA	NA	2200±50 BP	2338–2060 cal BP	Basgall Giambastiani 1999 Bird et al. 2022
Beta-221312	CHARCOAL	floral	NA	5160±50 BP	6105–5749 cal BP	Tiley 2008 Bird et al. 2022
Beta-227541	SHELL	marine Olivella	NA	4920±50 BP	5844–5581 cal BP	Nicholson 2008 Bird et al. 2022
Beta-227542	SHELL	marine Olivella	NA	2270±40 BP	2349–2152 cal BP	Nicholson 2008 Bird et al. 2022
Beta-227544	SHELL	marine Olivella	NA	3480±50 BP	3880–3590 cal BP	Nicholson 2008 Bird et al. 2022
Beta-227545	SHELL	marine Tivela	NA	8120±50 BP	9268–8815 cal BP	Tiley 2008 Bird et al. 2022
Beta-227547	SHELL	marine Olivella	NA	1690±40 BP	1701–1479 cal BP	Nicholson 2008 Bird et al. 2022
Beta-227549	SHELL	marine Olivella	NA	6110±40 BP	7158–6885 cal BP	Tiley 2008 Bird et al. 2022
Beta-227550	SHELL	marine Olivella	NA	3640±40 BP	4085–3846 cal BP	Nicholson 2008 Bird et al. 2022
Beta-227551	SHELL	marine Olivella	NA	4850±40 BP	5656–5476 cal BP	Nicholson 2008 Bird et al. 2022
Beta-227552	SHELL	marine Olivella	NA	3440±50 BP	3833–3570 cal BP	Tiley 2008 Bird et al. 2022
Beta-227553	SHELL	marine Olivella	NA	3690±40 BP	4148–3906 cal BP	Nicholson 2008 Bird et al. 2022
Beta-227554	SHELL	marine Olivella	NA	4380±50 BP	5270–4844 cal BP	Tiley 2008 Bird et al. 2022

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [Basgall Giambastiani 1999]
No bibliographic information available. [Tiley 2008]
No bibliographic information available. [Nicholson 2008]
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{Basgall Giambastiani 1999,
  
}
@misc{Tiley 2008,
  
}
@misc{Nicholson 2008,
  
}
@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":"Basgall Giambastiani 1999","bibtex_type":"misc"}{"bibtex_key":"Tiley 2008","bibtex_type":"misc"}{"bibtex_key":"Nicholson 2008","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: Basgall Giambastiani 1999
:bibtex_type: :misc
---
:bibtex_key: Tiley 2008
:bibtex_type: :misc
---
:bibtex_key: Nicholson 2008
: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 (15)

Typological dates (0)

Bibliographic references

Changelog

Imported from source database via c14bazAAR