Longhouse
Archaeological site
in Canada
Record created in XRONOS on 2022-12-02 00:50:45 UTC.
Last updated on 2022-12-02 00:50:45 UTC.
See changelog for details.
Contributors: XRONOS development team
Contributors: XRONOS development team
Location
Radiocarbon dates
(7)
Typological dates
(0)
| Classification | Estimated age | References |
|---|
Bibliographic references
- No bibliographic information available. [RC 24 3 1982 262-290]
- No bibliographic information available. [Blake 1988; Morrison 1989; Burleigh et al. 1982; McCullough 1989; Bowman et al. 1990; Schledermann 1980 p.c. 1998]
- No bibliographic information available. [Lowdon and Blake 1979; Burke and Cinq-Mars 1996; Cinq-Mars 1979 1990 p.c. 1998; Morlan and Cinq-Mars 1982]
- No bibliographic information available. [Blake 1988; Morrison 1989; McCullough 1989; Schledermann 1980; Faunmap 4279]
- No bibliographic information available. [Blake 1988; Burleigh et al. 1982; Schledermann 1990; Bowman et al. 1990]
- No bibliographic information available. [Schledermann 1990; Faunmap 4282]
- 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{RC 24 3 1982 262-290,
}
@misc{Blake 1988; Morrison 1989; Burleigh et al. 1982; McCullough 1989; Bowman et al. 1990; Schledermann 1980 p.c. 1998,
}
@misc{Lowdon and Blake 1979; Burke and Cinq-Mars 1996; Cinq-Mars 1979 1990 p.c. 1998; Morlan and Cinq-Mars 1982,
}
@misc{Blake 1988; Morrison 1989; McCullough 1989; Schledermann 1980; Faunmap 4279,
}
@misc{Blake 1988; Burleigh et al. 1982; Schledermann 1990; Bowman et al. 1990,
}
@misc{Schledermann 1990; Faunmap 4282,
}
@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":"RC 24 3 1982 262-290","bibtex_type":"misc"}{"bibtex_key":"Blake 1988; Morrison 1989; Burleigh et al. 1982; McCullough 1989; Bowman et al. 1990; Schledermann 1980 p.c. 1998","bibtex_type":"misc"}{"bibtex_key":"Lowdon and Blake 1979; Burke and Cinq-Mars 1996; Cinq-Mars 1979 1990 p.c. 1998; Morlan and Cinq-Mars 1982","bibtex_type":"misc"}{"bibtex_key":"Blake 1988; Morrison 1989; McCullough 1989; Schledermann 1980; Faunmap 4279","bibtex_type":"misc"}{"bibtex_key":"Blake 1988; Burleigh et al. 1982; Schledermann 1990; Bowman et al. 1990","bibtex_type":"misc"}{"bibtex_key":"Schledermann 1990; Faunmap 4282","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: RC 24 3 1982 262-290
:bibtex_type: :misc
---
:bibtex_key: Blake 1988; Morrison 1989; Burleigh et al. 1982; McCullough 1989; Bowman
et al. 1990; Schledermann 1980 p.c. 1998
:bibtex_type: :misc
---
:bibtex_key: Lowdon and Blake 1979; Burke and Cinq-Mars 1996; Cinq-Mars 1979 1990
p.c. 1998; Morlan and Cinq-Mars 1982
:bibtex_type: :misc
---
:bibtex_key: Blake 1988; Morrison 1989; McCullough 1989; Schledermann 1980; Faunmap
4279
:bibtex_type: :misc
---
:bibtex_key: Blake 1988; Burleigh et al. 1982; Schledermann 1990; Bowman et al. 1990
:bibtex_type: :misc
---
:bibtex_key: Schledermann 1990; Faunmap 4282
: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}"