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
Bonner-Young (No name in PASS) A-15067 UNKNOWN NA NA 500±35 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Bonner-Young (No name in PASS) A-15068 UNKNOWN NA NA 515±60 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Beaver Meadow Bog A-15069 UNKNOWN NA NA 1155±75 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Savage A-15070 UNKNOWN NA NA 605±40 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Nash (Wehler Farm) A-15092 UNKNOWN NA NA 390±40 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Shawnee Flats II (PASS name Hanover Nursery) A-15276 UNKNOWN NA NA 350±45 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Quiggle (PASS name Quiggle Farm) A-15278 UNKNOWN NA NA 355±35 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Quiggle (PASS name Quiggle Farm) A-15279 UNKNOWN NA NA 295±35 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Quiggle (PASS name Quiggle Farm) A-15280 UNKNOWN NA NA 585±30 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Quiggle (PASS name Quiggle Farm) A-15281 UNKNOWN NA NA 335±45 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Quiggle (PASS name Quiggle Farm) A-15282 UNKNOWN NA NA 455±40 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Reuben King (PASS name King) A-15283 UNKNOWN NA NA 495±55 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Reuben King (PASS name King) A-15284 UNKNOWN NA NA 435±50 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Kaufmann II A-15288 UNKNOWN NA NA 400±35 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Kaufmann II A-15289 UNKNOWN NA NA 415±35 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Kaufmann II A-15290 UNKNOWN NA NA 475±35 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Blunston A-15606 UNKNOWN NA NA 415±40 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Blunston A-15607 UNKNOWN NA NA 415±40 BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Dates from unknown sites A-1627 CHARCOAL NA RADIOMETRIC 950±50 BP Schiffer and Staski 1982 Bird et al. 2022
Dates from unknown sites A-1628 CHARCOAL NA RADIOMETRIC 890±50 BP Schiffer and Staski 1982 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}, }