Topper – XRONOS

Site type

Location

Coordinates (degrees): 032.988° N, 081.358° W
Coordinates (DMS): 032° 59' 00" W, 081° 21' 00" N
Country (ISO 3166): United States (US)

Lab ID	Context	Material	Taxon	Method	Uncalibrated age	Calibrated age	References
AA-100293	NA	SEEDS	Vitis rotundifolia	AMS	8226±55 BP	9403–9022 cal BP	Anderson Smallwood Goodyear and Walters (2016) The Paleoindian and Early Archaic Hilltop… Tennessee Archaeology 8(1-2) Bird et al. 2022
Beta-169426	NA	POTTERYRESIDUE	NA	AMS	1470±40 BP	1403–1300 cal BP	Smith and Stephenson 2017-The spatial dimension of the Woodland period Bird et al. 2022
Beta-169427	NA	POTTERYRESIDUE	soot	AMS	710±40 BP	721–560 cal BP	Smith and Stephenson PC 2020 Bird et al. 2022
Beta-350126	NA	SEEDS	Zea mays	AMS	890±30 BP	905–728 cal BP	Walters 2016-Deeply Rooted: A Feasibility study… Bird et al. 2022

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [Anderson Smallwood Goodyear and Walters (2016) The Paleoindian and Early Archaic Hilltop… Tennessee Archaeology 8(1-2)]
No bibliographic information available. [Smith and Stephenson PC 2020]
No bibliographic information available. [Smith and Stephenson 2017-The spatial dimension of the Woodland period]
No bibliographic information available. [Walters 2016-Deeply Rooted: A Feasibility study…]
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{Anderson Smallwood Goodyear and Walters (2016) The Paleoindian and Early Archaic Hilltop… Tennessee Archaeology 8(1-2),
  
}
@misc{Smith and Stephenson PC 2020,
  
}
@misc{Smith and Stephenson 2017-The spatial dimension of the Woodland period,
  
}
@misc{Walters 2016-Deeply Rooted: A Feasibility study…,
  
}
@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":"Anderson Smallwood Goodyear and Walters (2016) The Paleoindian and Early Archaic Hilltop… Tennessee Archaeology 8(1-2)","bibtex_type":"misc"}{"bibtex_key":"Smith and Stephenson PC 2020","bibtex_type":"misc"}{"bibtex_key":"Smith and Stephenson 2017-The spatial dimension of the Woodland period","bibtex_type":"misc"}{"bibtex_key":"Walters 2016-Deeply Rooted: A Feasibility study…","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: Anderson Smallwood Goodyear and Walters (2016) The Paleoindian and Early
  Archaic Hilltop… Tennessee Archaeology 8(1-2)
:bibtex_type: :misc
---
:bibtex_key: Smith and Stephenson PC 2020
:bibtex_type: :misc
---
:bibtex_key: Smith and Stephenson 2017-The spatial dimension of the Woodland period
:bibtex_type: :misc
---
:bibtex_key: 'Walters 2016-Deeply Rooted: A Feasibility study…'
: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 (4)

Typological dates (0)

Bibliographic references

Changelog

Imported from source database via c14bazAAR