Bird et al. 2022

Bibliographic reference Bibliographic reference

  • 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] 
@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":"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: 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}"

Citing records

There are 179689 records in XRONOS that cite this reference.

radiocarbon date Radiocarbon dates (179689)

Site Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Batiscan A-1374 charred cooking residue NA NA 2860±20 BP Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement. Bird et al. 2022
Pointe-du-Buisson A-1376 charred cooking residue NA NA 2995±25 BP Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement. Bird et al. 2022
Pointe-du-Buisson A-1377 charred cooking residue NA NA 2975±30 BP Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement. Bird et al. 2022
Pointe-du-Buisson A-1378 charred cooking residue NA NA 2675±20 BP Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement. Bird et al. 2022
Pointe-du-Buisson A-1380 charred cooking residue NA NA 2390±15 BP Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement. Bird et al. 2022
Batiscan A-1381 charred cooking residue NA NA 3110±20 BP Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement. Bird et al. 2022
Mayapan A-13861 Charcoal NA NA 430±110 BP Peraza Lope et al: Table 1 Bird et al. 2022
Mayapan A-13862 Charcoal NA NA 655±30 BP Peraza Lope et al: Table 1 Bird et al. 2022
Nash (Wehler Farm) A-13891 UNKNOWN NA NA 740±85 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Nash (Wehler Farm) A-13894 UNKNOWN NA NA 835±90 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Ghatchi A-13938 charcoal NA NA 4885±125 BP Aguero et al 2009 Bird et al. 2022
Dates from unknown sites A-14 UNKNOWN NA NA 4185±62 BP Emerson et al. 2009 Archaic Societies: Diversity and Complexity... Bird et al. 2022
Savage A-14054 UNKNOWN NA NA 685±35 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Shawnee Flats II (PASS name Hanover Nursery) A-14056 UNKNOWN NA NA 535±50 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Breneman A-14057 UNKNOWN NA NA 585±40 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Ghatchi A-14110 charcoal NA NA 3685±50 BP Aguero et al 2009 Bird et al. 2022
Calar A-14111 Plant fragments NA NA 1810±55 BP Pestle et al 2015 Bird et al. 2022
Ghatchi A-14114 charcoal NA NA 3190±55 BP Aguero et al 2009 Bird et al. 2022
Canfield Flats A-14210 UNKNOWN NA NA 535±40 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Savage A-14211 UNKNOWN NA NA 600±65 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022

Metadata

Record created in XRONOS on 2022-12-02 00:40:38 UTC. Last updated on 2023-03-23 09:29:26 UTC. See changelog for details.
Contributors: XRONOS development team

Changelog

Bibtex:
@Misc{p3k14c, url = {https://www.p3k14c.org/}, note = {Bird, D., Miranda, L., Vander Linden, M. et al. p3k14c, a synthetic global database of archaeological radiocarbon dates. Sci Data 9, 27 (2022). https://doi.org/10.1038/s41597-022-01118-7} } → @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, Jos{\'e} 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}, }