7 datasets found

  1. Number of samples for each age and sex after removing samples with missing...

    • plos.figshare.com
    xls
    Updated Jul 18, 2024
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    Hitomi Ogata; Yosuke Isoyama; Sayaka Nose-Ogura; Narumi Nagai; Momoko Kayaba; João Gabriel Segato Kruse; Ivan Seleznov; Miki Kaneko; Taiki Shigematsu; Ken Kiyono (2024). Number of samples for each age and sex after removing samples with missing values. [Dataset]. http://doi.org/10.1371/journal.pone.0307238.t001
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    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0307238.t001
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hitomi Ogata; Yosuke Isoyama; Sayaka Nose-Ogura; Narumi Nagai; Momoko Kayaba; João Gabriel Segato Kruse; Ivan Seleznov; Miki Kaneko; Taiki Shigematsu; Ken Kiyono
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Number of samples for each age and sex after removing samples with missing values.

  2. Estimated parameters, α(q) and Cq for 2nd, 10th, 90th, and 98th centile for...

    • plos.figshare.com
    xls
    Updated Jul 18, 2024
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    Hitomi Ogata; Yosuke Isoyama; Sayaka Nose-Ogura; Narumi Nagai; Momoko Kayaba; João Gabriel Segato Kruse; Ivan Seleznov; Miki Kaneko; Taiki Shigematsu; Ken Kiyono (2024). Estimated parameters, α(q) and Cq for 2nd, 10th, 90th, and 98th centile for females. [Dataset]. http://doi.org/10.1371/journal.pone.0307238.t003
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0307238.t003
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hitomi Ogata; Yosuke Isoyama; Sayaka Nose-Ogura; Narumi Nagai; Momoko Kayaba; João Gabriel Segato Kruse; Ivan Seleznov; Miki Kaneko; Taiki Shigematsu; Ken Kiyono
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Estimated parameters, α(q) and Cq for 2nd, 10th, 90th, and 98th centile for females.

  3. Estimated parameters, α(q) and Cq for 2nd, 10th, 90th, and 98th centile for...

    • plos.figshare.com
    xls
    Updated Jul 18, 2024
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    Hitomi Ogata; Yosuke Isoyama; Sayaka Nose-Ogura; Narumi Nagai; Momoko Kayaba; João Gabriel Segato Kruse; Ivan Seleznov; Miki Kaneko; Taiki Shigematsu; Ken Kiyono (2024). Estimated parameters, α(q) and Cq for 2nd, 10th, 90th, and 98th centile for males. [Dataset]. http://doi.org/10.1371/journal.pone.0307238.t002
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0307238.t002
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hitomi Ogata; Yosuke Isoyama; Sayaka Nose-Ogura; Narumi Nagai; Momoko Kayaba; João Gabriel Segato Kruse; Ivan Seleznov; Miki Kaneko; Taiki Shigematsu; Ken Kiyono
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Estimated parameters, α(q) and Cq for 2nd, 10th, 90th, and 98th centile for males.

  4. Short-term frequency dependence measures can be poor predictors of the...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Oct 9, 2022
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    Alys Jepson; Olga Nev; Richard J. Lindsay; Robert E. Beardmore; Ivana Gudelj (2022). Short-term frequency dependence measures can be poor predictors of the long-term community dynamics [Dataset]. http://doi.org/10.6084/m9.figshare.21295518.v1
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    xlsxAvailable download formats
    Unique identifier
    https://doi.org/10.6084/m9.figshare.21295518.v1
    Dataset updated
    Oct 9, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Alys Jepson; Olga Nev; Richard J. Lindsay; Robert E. Beardmore; Ivana Gudelj
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Short and long-term competitions for resources between Candida albicans and Candida glabrata in the absence and presence of an antifungal drug fluconazole

  5. f

    Appendix B. Mathematical details of the computation of the means, variances,...

    • figshare.com
    • wiley.figshare.com
    html
    Updated Jun 2, 2023
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    Subhash R. Lele (2023). Appendix B. Mathematical details of the computation of the means, variances, and covariance of the nonstationary Gompertz process. [Dataset]. http://doi.org/10.6084/m9.figshare.3525641.v1
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    htmlAvailable download formats
    Unique identifier
    https://doi.org/10.6084/m9.figshare.3525641.v1
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Wiley
    Authors
    Subhash R. Lele
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Mathematical details of the computation of the means, variances, and covariance of the nonstationary Gompertz process.

  6. Probability of crossing 3 population thresholds defined in Treves and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 12, 2024
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    Glenn E. Stauffer; Erik R. Olson; Jerrold L. Belant; Jennifer L. Stenglein; Jennifer L. Price Tack; Timothy R. van Deelen; David M. MacFarland; Nathan M. Roberts (2024). Probability of crossing 3 population thresholds defined in Treves and Louchouarn (TL) [2] for various fall 2021 harvest scenarios when starting population is specified as a predicted “count” (Count) or a scaled occupancy estimate (Occ; Stauffer et al. [5]), and using parameterization from TL or corrected parameterization from this paper (Current). [Dataset]. http://doi.org/10.1371/journal.pone.0301487.t002
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0301487.t002
    Dataset updated
    Jun 12, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Glenn E. Stauffer; Erik R. Olson; Jerrold L. Belant; Jennifer L. Stenglein; Jennifer L. Price Tack; Timothy R. van Deelen; David M. MacFarland; Nathan M. Roberts
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Probability of crossing 3 population thresholds defined in Treves and Louchouarn (TL) [2] for various fall 2021 harvest scenarios when starting population is specified as a predicted “count” (Count) or a scaled occupancy estimate (Occ; Stauffer et al. [5]), and using parameterization from TL or corrected parameterization from this paper (Current).

  7. Inclusion and exclusion criteria used for title and abstract, stage 1 and...

    • plos.figshare.com
    xls
    Updated Apr 30, 2024
    + more versions
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    Naomi M. Fuller; Christopher F. McQuaid; Martin J. Harker; Chathika K. Weerasuriya; Timothy D. McHugh; Gwenan M. Knight (2024). Inclusion and exclusion criteria used for title and abstract, stage 1 and stage 2 screening. [Dataset]. http://doi.org/10.1371/journal.ppat.1011574.t001
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    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.ppat.1011574.t001
    Dataset updated
    Apr 30, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Naomi M. Fuller; Christopher F. McQuaid; Martin J. Harker; Chathika K. Weerasuriya; Timothy D. McHugh; Gwenan M. Knight
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Inclusion and exclusion criteria used for title and abstract, stage 1 and stage 2 screening.

  8. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Hitomi Ogata; Yosuke Isoyama; Sayaka Nose-Ogura; Narumi Nagai; Momoko Kayaba; João Gabriel Segato Kruse; Ivan Seleznov; Miki Kaneko; Taiki Shigematsu; Ken Kiyono (2024). Number of samples for each age and sex after removing samples with missing values. [Dataset]. http://doi.org/10.1371/journal.pone.0307238.t001
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Number of samples for each age and sex after removing samples with missing values.

Related Article
Explore at:
xlsAvailable download formats
Unique identifier
https://doi.org/10.1371/journal.pone.0307238.t001
Dataset updated
Jul 18, 2024
Dataset provided by
PLOShttp://plos.org/
Authors
Hitomi Ogata; Yosuke Isoyama; Sayaka Nose-Ogura; Narumi Nagai; Momoko Kayaba; João Gabriel Segato Kruse; Ivan Seleznov; Miki Kaneko; Taiki Shigematsu; Ken Kiyono
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Number of samples for each age and sex after removing samples with missing values.

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