18 datasets found
  1. f

    Behavior Change Collaborative Activities Index (BCCAI) scores of students in...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Anna-Sigrid Keck; Stephanie Sloane; Janet M. Liechty; Barbara H. Fiese; Sharon M. Donovan (2023). Behavior Change Collaborative Activities Index (BCCAI) scores of students in transdisciplinary (TD) and traditional doctoral programs at time of enrollment. [Dataset]. http://doi.org/10.1371/journal.pone.0189391.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Anna-Sigrid Keck; Stephanie Sloane; Janet M. Liechty; Barbara H. Fiese; Sharon M. Donovan
    License

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

    Description

    Behavior Change Collaborative Activities Index (BCCAI) scores of students in transdisciplinary (TD) and traditional doctoral programs at time of enrollment.

  2. Z

    Data from: Patterns of authorship in ecology and evolution: first, last and...

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    Updated May 31, 2022
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    Data from: Patterns of authorship in ecology and evolution: first, last and corresponding authorship vary with gender and geography [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4966823
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    Dataset updated
    May 31, 2022
    Dataset provided by
    Paine, C. E. Timothy
    Paine, C.E. Timothy
    Ritchey, Josiah P.
    Fox, Charles W.
    License

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

    Description

    The position of an author on the byline of a paper affects the inferences readers make about their contributions to the research. We examine gender differences in authorship in the ecology literature using two datasets: submissions to six journals between 2010 and 2015 (regardless of whether they were accepted), and manuscripts published by 151 journals between 2009 and 2015. Women were less likely to be last (i.e., 'senior') authors (averaging ~23% across journals, years and datasets) and sole authors (~24%), but more likely to be first author (~38%), relative to their overall frequency of authorship (~31%). However, the proportion of women in all authorship roles, except sole authorship, has increased year-on-year. Women were less likely to be authors on papers with male last authors, and all-male papers were more abundant than expected given the overall gender ratio. Women were equally-well represented on papers published in higher versus lower impact factor journals at all authorship positions. Female first authors were less likely to serve as corresponding author of their papers; this difference increased with the degree of gender inequality in the author's home country, but did not depend on the gender of the last author. First authors from non-English speaking countries were less likely to serve as corresponding author of their papers, especially if the last author was from an English-speaking country. That women more often delegate corresponding authorship to one of their coauthors may increase the likelihood that readers undervalue their role in the research by shifting credit for their contributions to coauthors. We suggest that author contribution statements be more universally adopted and that these statements declare how and/or why the corresponding author was selected for this role.

  3. Interdisciplinary Perspectives Index (IPI) scores of students in...

    • plos.figshare.com
    xls
    Updated Jun 18, 2023
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    Anna-Sigrid Keck; Stephanie Sloane; Janet M. Liechty; Barbara H. Fiese; Sharon M. Donovan (2023). Interdisciplinary Perspectives Index (IPI) scores of students in transdisciplinary (TD) and traditional doctoral programs at time of enrollment. [Dataset]. http://doi.org/10.1371/journal.pone.0189391.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 18, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Anna-Sigrid Keck; Stephanie Sloane; Janet M. Liechty; Barbara H. Fiese; Sharon M. Donovan
    License

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

    Description

    Interdisciplinary Perspectives Index (IPI) scores of students in transdisciplinary (TD) and traditional doctoral programs at time of enrollment.

  4. f

    Sample characteristics of students in transdisciplinary (TD) and traditional...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Anna-Sigrid Keck; Stephanie Sloane; Janet M. Liechty; Barbara H. Fiese; Sharon M. Donovan (2023). Sample characteristics of students in transdisciplinary (TD) and traditional doctoral programs at time of enrollment and advisor characteristics at program year 5. [Dataset]. http://doi.org/10.1371/journal.pone.0189391.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Anna-Sigrid Keck; Stephanie Sloane; Janet M. Liechty; Barbara H. Fiese; Sharon M. Donovan
    License

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

    Description

    Sample characteristics of students in transdisciplinary (TD) and traditional doctoral programs at time of enrollment and advisor characteristics at program year 5.

  5. Comparison of journal self-citations in COVID-19 with other infectious...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Dec 5, 2024
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    Alvaro Quincho-Lopez (2024). Comparison of journal self-citations in COVID-19 with other infectious diseases. [Dataset]. http://doi.org/10.1371/journal.pone.0314976.t003
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    xlsAvailable download formats
    Dataset updated
    Dec 5, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alvaro Quincho-Lopez
    License

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

    Description

    Comparison of journal self-citations in COVID-19 with other infectious diseases.

  6. Data from: Patterns and biases in climate change research on amphibians and...

    • data.niaid.nih.gov
    • data.subak.org
    • +2more
    zip
    Updated Aug 9, 2016
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    Maiken Winter; Wolfgang Fiedler; Wesley M. Hochachka; Arnulf Koehncke; Shai Meiri; Ignacio De la Riva (2016). Patterns and biases in climate change research on amphibians and reptiles: a systematic review [Dataset]. http://doi.org/10.5061/dryad.54k37
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    zipAvailable download formats
    Dataset updated
    Aug 9, 2016
    Dataset provided by
    Cornell University
    Museo Nacional de Ciencias Naturales
    WWF Germany
    Tel Aviv University
    Authors
    Maiken Winter; Wolfgang Fiedler; Wesley M. Hochachka; Arnulf Koehncke; Shai Meiri; Ignacio De la Riva
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    global, Global
    Description

    Climate change probably has severe impacts on animal populations, but demonstrating a causal link can be difficult because of potential influences by additional factors. Assessing global impacts of climate change effects may also be hampered by narrow taxonomic and geographical research foci. We review studies on the effects of climate change on populations of amphibians and reptiles to assess climate change effects and potential biases associated with the body of work that has been conducted within the last decade. We use data from 104 studies regarding the effect of climate on 313 species, from 464 species–study combinations. Climate change effects were reported in 65% of studies. Climate change was identified as causing population declines or range restrictions in half of the cases. The probability of identifying an effect of climate change varied among regions, taxa and research methods. Climatic effects were equally prevalent in studies exclusively investigating climate factors (more than 50% of studies) and in studies including additional factors, thus bolstering confidence in the results of studies exclusively examining effects of climate change. Our analyses reveal biases with respect to geography, taxonomy and research question, making global conclusions impossible. Additional research should focus on under-represented regions, taxa and questions. Conservation and climate policy should consider the documented harm climate change causes reptiles and amphibians.

  7. Most productive journals with at least 600 COVID-19 publications indexed in...

    • figshare.com
    xls
    Updated Dec 5, 2024
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    Alvaro Quincho-Lopez (2024). Most productive journals with at least 600 COVID-19 publications indexed in the Web of Science 2020–2023. [Dataset]. http://doi.org/10.1371/journal.pone.0314976.t002
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    xlsAvailable download formats
    Dataset updated
    Dec 5, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alvaro Quincho-Lopez
    License

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

    Description

    Most productive journals with at least 600 COVID-19 publications indexed in the Web of Science 2020–2023.

  8. Perforated Metal Sheet Price

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Mar 1, 2025
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    IndexBox Inc. (2025). Perforated Metal Sheet Price [Dataset]. https://www.indexbox.io/search/perforated-metal-sheet-price/
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    docx, pdf, doc, xls, xlsxAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Mar 23, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Explore the factors influencing the cost of perforated metal sheets, including material type, thickness, hole pattern, and sheet size. Understand how materials like steel, stainless steel, aluminum, copper, and brass affect pricing. Learn why stainless steel sheets are typically more expensive due to their corrosion resistance. Discover the impact of thickness, hole patterns, sheet size, regional factors, and market fluctuations on pricing.

  9. f

    Death to a herdmate as a predictor of adrenal GC activity.

    • figshare.com
    xls
    Updated Jun 6, 2023
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    Sharon S. Glaeser; Katie L. Edwards; Nadja Wielebnowski; Janine L. Brown (2023). Death to a herdmate as a predictor of adrenal GC activity. [Dataset]. http://doi.org/10.1371/journal.pone.0241910.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sharon S. Glaeser; Katie L. Edwards; Nadja Wielebnowski; Janine L. Brown
    License

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

    Description

    Fixed effects, effect size with standard error (SE), Wald statistic, and p-value from GLMMs, and whether the mean cortisol concentration post-event is higher or lower than pre-event. Degrees of freedom (df) was 1 in all pair-wise comparisons.

  10. Tuberculosis and HIV/AIDS research.

    • plos.figshare.com
    • figshare.com
    xlsx
    Updated Dec 5, 2024
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    Alvaro Quincho-Lopez (2024). Tuberculosis and HIV/AIDS research. [Dataset]. http://doi.org/10.1371/journal.pone.0314976.s003
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    xlsxAvailable download formats
    Dataset updated
    Dec 5, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alvaro Quincho-Lopez
    License

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

    Description

    IntroductionJournal self-citation contributes to the overall citation count of a journal and to some metrics like the impact factor. However, little is known about the extent of journal self-citations in COVID-19 research. This study aimed to determine the journal self-citations in COVID-19 research and to compare them according to the type of publication and publisher.MethodsData in COVID-19 research extracted from the Web of Science Core Collection 2020–2023 was collected and further analyzed with InCites. The journals with the highest self-citation rates and self-citation per publication were identified. Statistical comparisons were made according to the type of publication and publishers, as well as with other major infectious diseases.ResultsThe median self-citation rate was 4.0% (IQR 0–11.7%), and the median journal self-citation rate was 5.9% (IQR 0–12.5%). 1,859 journals (13% of total coverage) had self-citation rates at or above 20%, meaning that more than one in five references are journal self-citations. There was a positive and statistically significant correlation of self-citations with the other indicators, including number of publications, citations, and self-citations per publication (p

  11. Birth to a herdmate as a predictor of adrenal GC activity.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 9, 2023
    + more versions
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    Sharon S. Glaeser; Katie L. Edwards; Nadja Wielebnowski; Janine L. Brown (2023). Birth to a herdmate as a predictor of adrenal GC activity. [Dataset]. http://doi.org/10.1371/journal.pone.0241910.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sharon S. Glaeser; Katie L. Edwards; Nadja Wielebnowski; Janine L. Brown
    License

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

    Description

    Fixed effects, effect size with standard error (SE), Wald statistic, and p-value from GLMMs, and whether mean cortisol concentration post-event was higher or lower than pre-event. Degrees of freedom (df) was 1 in all pair-wise comparisons.

  12. f

    Summary of fertilizer perception Likert scale questions.

    • plos.figshare.com
    xls
    Updated Jul 19, 2024
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    Heather D. Craska; Amélie Y. Davis (2024). Summary of fertilizer perception Likert scale questions. [Dataset]. http://doi.org/10.1371/journal.pone.0306550.t003
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    xlsAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Heather D. Craska; Amélie Y. Davis
    License

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

    Description

    Summary of fertilizer perception Likert scale questions.

  13. f

    Multiple ridge regression analyses (ridge parameter, k = 0.02) on the number...

    • figshare.com
    xls
    Updated Jun 11, 2023
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    Md Sohel Rana; Caroline Lee; Jim M. Lea; Dana L. M. Campbell (2023). Multiple ridge regression analyses (ridge parameter, k = 0.02) on the number of hens in the ‘sun-shade’ and ‘cloud-shade’ across the day in WA for all observation months. [Dataset]. http://doi.org/10.1371/journal.pone.0268854.t009
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    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Md Sohel Rana; Caroline Lee; Jim M. Lea; Dana L. M. Campbell
    License

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

    Description

    Only variables that significantly contributed to the most parsimonious model are presented.

  14. f

    Prices for key factors, their initial values, and how they change over...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 2, 2023
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    Simon J. Lloyd; Zaid Chalabi (2023). Prices for key factors, their initial values, and how they change over timea. [Dataset]. http://doi.org/10.1371/journal.pone.0246788.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Simon J. Lloyd; Zaid Chalabi
    License

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

    Description

    Prices for key factors, their initial values, and how they change over timea.

  15. Characteristics of the faculty cohorts in our study.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
    + more versions
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    Xiao Han T. Zeng; Jordi Duch; Marta Sales-Pardo; João A. G. Moreira; Filippo Radicchi; Haroldo V. Ribeiro; Teresa K. Woodruff; Luís A. Nunes Amaral (2023). Characteristics of the faculty cohorts in our study. [Dataset]. http://doi.org/10.1371/journal.pbio.1002573.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xiao Han T. Zeng; Jordi Duch; Marta Sales-Pardo; João A. G. Moreira; Filippo Radicchi; Haroldo V. Ribeiro; Teresa K. Woodruff; Luís A. Nunes Amaral
    License

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

    Description

    Characteristics of the faculty cohorts in our study.

  16. f

    Mean annual hydrological components in different model experiments with...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 3, 2023
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    Ling Zhang; Zhuotong Nan; Yi Xu; Shuo Li (2023). Mean annual hydrological components in different model experiments with different land use patterns and climate conditions (values in parentheses indicate percentages (%) of change relative to E1). [Dataset]. http://doi.org/10.1371/journal.pone.0158394.t009
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ling Zhang; Zhuotong Nan; Yi Xu; Shuo Li
    License

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

    Description

    Mean annual hydrological components in different model experiments with different land use patterns and climate conditions (values in parentheses indicate percentages (%) of change relative to E1).

  17. f

    The impact of the factor misallocation between China’s three major...

    • plos.figshare.com
    xls
    Updated Oct 26, 2023
    + more versions
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    Bochao Zhang; Wanhao Dong; Jin Yao (2023). The impact of the factor misallocation between China’s three major industries on the income disparities between provinces and industries. [Dataset]. http://doi.org/10.1371/journal.pone.0292927.t007
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    xlsAvailable download formats
    Dataset updated
    Oct 26, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bochao Zhang; Wanhao Dong; Jin Yao
    License

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

    Area covered
    China
    Description

    The impact of the factor misallocation between China’s three major industries on the income disparities between provinces and industries.

  18. f

    Multiple ridge regression analyses (ridge parameter, k = 0.02) on the number...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
    + more versions
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    Md Sohel Rana; Caroline Lee; Jim M. Lea; Dana L. M. Campbell (2023). Multiple ridge regression analyses (ridge parameter, k = 0.02) on the number of hens in the ‘sun’ across the day in TAS for different observation months. [Dataset]. http://doi.org/10.1371/journal.pone.0268854.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Md Sohel Rana; Caroline Lee; Jim M. Lea; Dana L. M. Campbell
    License

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

    Description

    Only variables that significantly contributed to the most parsimonious model are presented.

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

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Anna-Sigrid Keck; Stephanie Sloane; Janet M. Liechty; Barbara H. Fiese; Sharon M. Donovan (2023). Behavior Change Collaborative Activities Index (BCCAI) scores of students in transdisciplinary (TD) and traditional doctoral programs at time of enrollment. [Dataset]. http://doi.org/10.1371/journal.pone.0189391.t002

Behavior Change Collaborative Activities Index (BCCAI) scores of students in transdisciplinary (TD) and traditional doctoral programs at time of enrollment.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 1, 2023
Dataset provided by
PLOS ONE
Authors
Anna-Sigrid Keck; Stephanie Sloane; Janet M. Liechty; Barbara H. Fiese; Sharon M. Donovan
License

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

Description

Behavior Change Collaborative Activities Index (BCCAI) scores of students in transdisciplinary (TD) and traditional doctoral programs at time of enrollment.

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