100+ datasets found
  1. f

    Using social media to promote academic research: Identifying the benefits of...

    • plos.figshare.com
    docx
    Updated May 31, 2023
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    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad (2023). Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work [Dataset]. http://doi.org/10.1371/journal.pone.0229446
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad
    License

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

    Description

    To disseminate research, scholars once relied on university media services or journal press releases, but today any academic can turn to Twitter to share their published work with a broader audience. The possibility that scholars can push their research out, rather than hope that it is pulled in, holds the potential for scholars to draw wide attention to their research. In this manuscript, we examine whether there are systematic differences in the types of scholars who most benefit from this push model. Specifically, we investigate the extent to which there are gender differences in the dissemination of research via Twitter. We carry out our analyses by tracking tweet patterns for articles published in six journals across two fields (political science and communication), and we pair this Twitter data with demographic and educational data about the authors of the published articles, as well as article citation rates. We find considerable evidence that, overall, article citations are positively correlated with tweets about the article, and we find little evidence to suggest that author gender affects the transmission of research in this new media.

  2. c

    Research data supporting “Papers, policy documents and patterns of...

    • repository.cam.ac.uk
    bin, pdf, xlsx
    Updated Sep 23, 2016
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    Cadwallader, Lauren; Altmetric.com (2016). Research data supporting “Papers, policy documents and patterns of attention” [Dataset]. http://doi.org/10.17863/CAM.4584
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    pdf(84898 bytes), xlsx(201684 bytes), xlsx(156100 bytes), bin(18985 bytes)Available download formats
    Dataset updated
    Sep 23, 2016
    Dataset provided by
    Apollo
    University of Cambridge
    Authors
    Cadwallader, Lauren; Altmetric.com
    License

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

    Description

    This is the Altmetric.com data for the set of journal articles used in this research. The data was provided by Altmetric.com, a research metrics company who track and collect the online conversations around millions of scholarly outputs. Altmetric continually monitors a variety of non-traditional sources to provide real-time updates on new mentions and shares of individual research outputs, which are collated and presented to users via Altmetric.com. The data was collated on the 15/08/2016. Any subsequent adjustments to the original data have been made by Dr Lauren Cadwallader and are fully explained in the document.

  3. Data from: National citation patterns of NEJM, The Lancet, JAMA and The BMJ...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    csv, txt
    Updated May 30, 2022
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    Gonzalo Casino; Roser Rius; Erik Cobo; Gonzalo Casino; Roser Rius; Erik Cobo (2022). Data from: National citation patterns of NEJM, The Lancet, JAMA and The BMJ in the lay press: a quantitative content analysis [Dataset]. http://doi.org/10.5061/dryad.bh576
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    txt, csvAvailable download formats
    Dataset updated
    May 30, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Gonzalo Casino; Roser Rius; Erik Cobo; Gonzalo Casino; Roser Rius; Erik Cobo
    License

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

    Description

    Objectives: To analyse the total number of newspaper articles citing the four leading general medical journals and to describe national citation patterns. Design: Quantitative content analysis Setting/sample: Full text of 22 general newspapers in 14 countries over the period 2008-2015, collected from LexisNexis. The 14 countries have been categorized into four regions: US, UK, Western World (EU countries other than UK, and Australia, New Zealand and Canada) and Rest of the World (other countries). Main outcome measure: Press citations of four medical journals (two American: NEJM and JAMA; and two British: The Lancet and The BMJ) in 22 newspapers. Results: British and American newspapers cited some of the four analysed medical journals about three times a week in 2008-2015 (weekly mean 3.2 and 2.7 citations respectively); the newspapers from other Western countries did so about once a week (weekly mean 1.1), and those from the Rest of the World cited them about once a month (monthly mean 1.1). The New York Times cited above all other newspapers (weekly mean 4.7). The analysis showed the existence of three national citation patterns in the daily press: American newspapers cited mostly American journals (70.0% of citations), British newspapers cited mostly British journals (86.5%), and the rest of the analysed press cited more British journals than American ones. The Lancet was the most cited journal in the press of almost all Western countries outside the US and the UK. Multivariate correspondence analysis confirmed the national patterns and showed that over 85% of the citation data variability is retained in just one single new variable: the national dimension. Conclusion: British and American newspapers are the ones that cite the four analysed medical journals more often, showing a domestic preference for their respective national journals; non-British and non-American newspapers show a common international citation pattern.

  4. f

    Top tweeters of journal articles.

    • figshare.com
    xls
    Updated Jun 5, 2023
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    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad (2023). Top tweeters of journal articles. [Dataset]. http://doi.org/10.1371/journal.pone.0229446.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad
    License

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

    Description

    Top tweeters of journal articles.

  5. h

    few-shot-flat-colored-patterns

    • huggingface.co
    Updated Jun 29, 2022
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    HugGAN Community (2022). few-shot-flat-colored-patterns [Dataset]. https://huggingface.co/datasets/huggan/few-shot-flat-colored-patterns
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 29, 2022
    Dataset authored and provided by
    HugGAN Community
    Description

    Citation

    @article{DBLP:journals/corr/abs-2101-04775, author = {Bingchen Liu and Yizhe Zhu and Kunpeng Song and Ahmed Elgammal}, title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot Image Synthesis}, journal = {CoRR}, volume = {abs/2101.04775}, year = {2021}, url = {https://arxiv.org/abs/2101.04775}, eprinttype = {arXiv}, eprint = {2101.04775}, timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-flat-colored-patterns.

  6. n

    Data from: Gender differences in patterns of authorship do not affect peer...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Sep 22, 2016
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    Charles W. Fox; C. Sean Burns; Anna D. Muncy; Jennifer A. Meyer (2016). Gender differences in patterns of authorship do not affect peer review outcomes at an ecology journal [Dataset]. http://doi.org/10.5061/dryad.0mv3q
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    zipAvailable download formats
    Dataset updated
    Sep 22, 2016
    Dataset provided by
    British Ecological Society
    University of Kentucky
    Authors
    Charles W. Fox; C. Sean Burns; Anna D. Muncy; Jennifer A. Meyer
    License

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

    Description

    There is a widespread perception in the academic community that peer review is subject to many biases and can be influenced by the identity and biographic features (such as gender) of manuscript authors. We examined how patterns of authorship differ between men and women, and whether author gender influences editorial and peer review outcomes and/or the peer review process for papers submitted to the journal Functional Ecology between 2010 and 2014. Women represented approximately a third of all authors on papers submitted to Functional Ecology. Relative to overall frequency of authorship, women were underrepresented as solo authors (26% were women). On multi-authored papers, women were also underrepresented as last/senior authors (25% were women) but overrepresented as first authors (43% were women). Women first authors were less likely than men first authors to serve as corresponding and submitting author of their papers; this difference was not influenced by the gender of the last author. Women were more likely to be authors on papers if the last author was female. Papers with female authors (i) were equally likely to be sent for peer review, (ii) obtained equivalent peer review scores and (iii) were equally likely to be accepted for publication, compared to papers with male authors. There was no evidence that male editors or male reviewers treated papers authored by women differently than did female editors and reviewers, and no evidence that more senior editors reached different decisions than younger editors after review, or cumulative through the entire process, for papers authored by men vs. women. Papers authored by women were more likely to be reviewed by women. This is primarily because women were more likely to be invited to review if the authors on a paper were female than if the authors were male. Patterns of authorship, and the role undertaken as author (e.g., submitting and serving as corresponding author), differ notably between men and women for papers submitted to Functional Ecology. However, consistent with a growing body of literature indicating that peer review underlying the scholarly publishing process is largely gender-neutral, outcomes of editorial and peer review at Functional Ecology were not influenced by author gender.

  7. u

    Faculty Publication Patterns UIC Data

    • indigo.uic.edu
    xlsx
    Updated Jan 4, 2024
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    Sandra De Groote; Jung Mi Scoulas; Paula Dempsey; Felicia Barrett; Deborah Blecic (2024). Faculty Publication Patterns UIC Data [Dataset]. http://doi.org/10.25417/uic.24891984.v1
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    xlsxAvailable download formats
    Dataset updated
    Jan 4, 2024
    Dataset provided by
    University of Illinois Chicago
    Authors
    Sandra De Groote; Jung Mi Scoulas; Paula Dempsey; Felicia Barrett; Deborah Blecic
    License

    http://rightsstatements.org/vocab/InC/1.0/http://rightsstatements.org/vocab/InC/1.0/

    Description

    As part of ARL’s Research Library Impact Framework initiative, the University of Illinois Chicago (UIC) conducted a study to demonstrate how the availability and use of library collections impacts faculty productivity and publication patterns over time. To address these questions, the project used various statistics: collection size (measured by journal holdings), collection use (measured by number of references in the publications), number of publications by faculty, publication impact (measured by number of citations), number of co-authors, grant funding, page counts, and faculty demographic information. This is the data collected to explore these relationships. The report summarizing the findings: De Groote, Sandra L., Jung Mi Scoulas, Paula R. Dempsey, Deborah D. Blecic, and Felicia A. Barrett. Library Impact Research Report: Faculty Publication Patterns at a Large Urban University and Correlation with Collections Use and Size. Washington, DC: Association of Research Libraries, June 30, 2022.https://doi.org/10.29242/report.uillinoischicago2022.

  8. Latitudinal patterns shelf fauna SCIHUB

    • catalog.data.gov
    Updated Nov 12, 2020
    + more versions
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    U.S. EPA Office of Research and Development (ORD) (2020). Latitudinal patterns shelf fauna SCIHUB [Dataset]. https://catalog.data.gov/dataset/latitudinal-patterns-shelf-fauna-scihub
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    The dataset includes benthic infaunal abundance data derived from the EPA National Coastal Assessment and Southern California Coastal Water Research Program Bight ’03 studies west coast shelf assessment studies in 2003, that were combined to form a composite data matrix of 255 stations by 1470 taxa. NCA successfully sampled 146 stations from Cape Flattery, WA, to Pt. Conception, CA in the period June 1 - 26, 2003 (NOAA Cruise AR-03-01-NC), with data from one additional NCA station off Santa Catalina Island provided to the study by SCCWRP. Fifty stations each within Washington and Oregon and 47 stations from California were successfully sampled. An additional 110 stations, located within the Channel Islands National Marine Sanctuary (27) and throughout the Southern California Bight (83, Pt. Conception, CA to the Mexican border), were successfully sampled for some or all of the NCA parameters within the target depth range by participants in the Bight ’03 survey (Ranasinghe et al. 2007). Benthic macrofaunal samples were obtained from these 257 stations, but two stations (OR03-0010, CA03-4339) failed quality assurance checks, and the final total included benthic samples from 255 stations. This dataset is associated with the following publication: Henkel, S., and W. Nelson. Assessment of spatial patterns in benthic macrofauna of the U.S. west coast continental shelf. Journal of Biogeography. Blackwell Publishing, Malden, MA, USA, 45(12): 2701-2717, (2018).

  9. d

    Data from: Patterns of functional diversity along latitudinal gradients of...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Dec 22, 2022
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    Denis Roy; Jonathan Diamond (2022). Patterns of functional diversity along latitudinal gradients of species richness in eleven fish families [Dataset]. http://doi.org/10.5061/dryad.37pvmcvpt
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    zipAvailable download formats
    Dataset updated
    Dec 22, 2022
    Dataset provided by
    Dryad
    Authors
    Denis Roy; Jonathan Diamond
    Time period covered
    2022
    Description

    Patterns of functional diversity along latitudinal gradients of species richness in eleven fish families This repository comprises the raw data relevant for entry into the scripts that generated the patterns for the manuscript titled: Patterns of functional diversity along latitudinal gradients of species richness in eleven fish families, authored by Jonathan Diamond and Denis Roy, in press with Global Ecology and Biogeography https://onlinelibrary.wiley.com/journal/14668238. You can download the raw data used for this research by clicking on the appropriate files. To process the files as we have for the manuscript, please see the scripts available at the following GitHub script repository: https://github.com/denisroy1/Patterns-of-Functional-Diversity-in-Fishes • Files listed as 'disdffamilyname.txt' correspond to family-specific estimates of functional diversity from the null model with 95% confidence intervals at each latitude. • Files listed 'familyname.txt' represent actual family-l...

  10. f

    Predicting the number of citations by article characteristics and tweets.

    • figshare.com
    xls
    Updated May 31, 2023
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    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad (2023). Predicting the number of citations by article characteristics and tweets. [Dataset]. http://doi.org/10.1371/journal.pone.0229446.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad
    License

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

    Description

    Predicting the number of citations by article characteristics and tweets.

  11. Z

    Supplementary material 3 from: Jin S, Parks KS, Janzen DH, Hallwachs W, Dyer...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Nov 15, 2023
    + more versions
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    Whitfield, James B. (2023). Supplementary material 3 from: Jin S, Parks KS, Janzen DH, Hallwachs W, Dyer LA, Whitfield JB (2023) The wing interference patterns (WIPs) of Parapanteles (Braconidae, Microgastrinae): demonstrating a powerful and accessible tool for species-level identification of small and clear winged insects. Journal of Hymenoptera Research 96: 967-982. https://doi.org/10.3897/jhr.96.111382 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10132479
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    Dataset updated
    Nov 15, 2023
    Dataset provided by
    Whitfield, James B.
    Dyer, Lee A.
    Parks, Kyle S.
    Jin, Shuyang
    Hallwachs, Winnie
    Janzen, Daniel H.
    License

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

    Description

    Wing interference patterns

  12. D

    Supplementary Data: Simulating past land use patterns; the impact of the...

    • dataverse.nl
    Updated May 9, 2018
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    Kleijn, de, Maurice; Kleijn, de, Maurice (2018). Supplementary Data: Simulating past land use patterns; the impact of the Romans on the Lower-Rhine delta in the first century AD [Dataset]. http://doi.org/10.34894/7PFIDN
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    tiff(132378), tiff(132434), tiff(133108), tiff(131790), bin(3445), bin(6898), text/x-fixed-field(17556623), html(4365), tiff(131530), tiff(131024), tiff(130674), tiff(132206), tiff(133126), tiff(161870), tiff(133114), tiff(132976), tiff(130318), bin(5684), bin(74), bin(21214), txt(1705), tiff(132578), bin(6901), tiff(133048), bin(185), tiff(130124), xlsx(48125), xml(825), bin(2055), bin(16018), bin(1936896), tiff(134302), bin(765), tiff(133172), xlsx(45894), html(1045), tiff(132864), tiff(133042), tiff(134214), xml(2714), bin(3252), text/x-fixed-field(49621428), tiff(134004), text/x-fixed-field(49561870), csv(111), txt(5091), tiff(132706), bin(4986), tiff(132282), tiff(130670), bin(3762), tiff(133096), text/x-fixed-field(77516790), bin(113), tiff(133086), bin(3329), tiff(130966), bin(7488), bin(3482), tiff(133166), tiff(134348), tiff(138478), tiff(1019240), tiff(133852), tiff(57682), bin(21231104), csv(77), tiff(132192), bin(18397), bin(158), xlsx(49674), tiff(133116), tiff(1464110), bin(210860), tiff(1900978), bin(92), tiff(133100), tiff(131342), tiff(132710), bin(15221), application/zipped-shapefile(4859), tiff(131742), bin(8375), xlsx(337510), tiff(131724), tiff(133004), tiff(132406), bin(30224), application/zipped-shapefile(790293), tiff(108310), tiff(130726), application/zipped-shapefile(597816), text/x-fixed-field(18100811), tiff(132736), bin(348), tiff(33464), tiff(129892), tiff(132924), tiff(134238), xml(1219), tiff(9376891), tiff(132156), application/zipped-shapefile(6392), csv(112), xml(767), tiff(131474), tiff(14172), bin(214), tiff(132048), tiff(133080), bin(498), tiff(132896), bin(2548), html(8976), tiff(130858), tiff(131486), bin(1140), tiff(133148), tiff(130886), tiff(132360), tiff(131632), tiff(131334), bin(4489), tiff(131756), tiff(133018), tiff(132782), tiff(132744), tiff(131158), tiff(131638), tiff(132450), application/zipped-shapefile(4570), bin(3013), xlsx(343696), tiff(133866), tiff(133112), bin(170), tiff(131440), tiff(134298), tiff(66384), tiff(131634), tiff(132234), tiff(132318), csv(114), tiff(131414), tiff(131792), xml(134), tiff(132968), tiff(131592), tiff(131488), tiff(130976), tiff(130002), tiff(133098), bin(3756), tiff(133744), tiff(131114), bin(5092), tiff(131768), bin(3758), bin(53041), tiff(130892), xlsx(135944), bin(133), tiff(130600), tiff(131476), tiff(132036), tiff(130216), tiff(132682), tiff(132914), tiff(131524), tiff(130776), tiff(133158), tiff(130476), xlsx(159606), bin(7276), tiff(130864), tiff(131694), bin(2890), xml(119), bin(5), tiff(131788), bin(450), tiff(132938), bin(9126), html(1256), bin(374), bin(6281), bin(39094), tiff(131928), tiff(134200), html(19962), tiff(134194), bin(4543), tiff(132456), bin(20281682), tiff(130480), tiff(1947944), text/x-fixed-field(49589778), tiff(130880), tiff(131404)Available download formats
    Dataset updated
    May 9, 2018
    Dataset provided by
    DataverseNL
    Authors
    Kleijn, de, Maurice; Kleijn, de, Maurice
    License

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

    Area covered
    Lower Rhine
    Description

    This dataset cotains supplementary data for the journal article "Simulating past land use patterns; the impact of the Romans on the Lower-Rhine delta in the first century AD" published in the "Journal of Archaeological Science Research"

  13. Dataset: Species presence, trait and philogeny database. Data from: Shift...

    • zenodo.org
    Updated Jan 6, 2021
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    Lindsay Backhaus; Lindsay Backhaus; Georg Albert; Georg Albert; Anibal Cuchietti; Anibal Cuchietti; Luisa Maria Jaimes Nino; Luisa Maria Jaimes Nino; Nina Fahs; Aleš Lisner; Aleš Lisner; Vojtěch Kolář; Vojtěch Kolář; Janez Kermavnar; Janez Kermavnar; Stefan Widmer; Stefan Widmer; Zita Zimermmann; Nora Rofrics; Francesco de Bello; Francesco de Bello; Jan Lepš; Jan Lepš; Nagore García Medina; Nagore García Medina; Nina Fahs; Zita Zimermmann; Nora Rofrics (2021). Dataset: Species presence, trait and philogeny database. Data from: Shift from trait convergence to divergence along old field succession. Journal of Vegetation Science. [Dataset]. http://doi.org/10.5281/zenodo.4416105
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    Dataset updated
    Jan 6, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Lindsay Backhaus; Lindsay Backhaus; Georg Albert; Georg Albert; Anibal Cuchietti; Anibal Cuchietti; Luisa Maria Jaimes Nino; Luisa Maria Jaimes Nino; Nina Fahs; Aleš Lisner; Aleš Lisner; Vojtěch Kolář; Vojtěch Kolář; Janez Kermavnar; Janez Kermavnar; Stefan Widmer; Stefan Widmer; Zita Zimermmann; Nora Rofrics; Francesco de Bello; Francesco de Bello; Jan Lepš; Jan Lepš; Nagore García Medina; Nagore García Medina; Nina Fahs; Zita Zimermmann; Nora Rofrics
    License

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

    Description

    This dataset was use in the manuscript "Shift from trait convergence to divergence along old field succession" publish at Journal of Vegetation Science. It contains the data of species presence at three different plots and species trait values (SLA, LDMC, height, seed weight and Phylogeny). We show that at the initial stage of succession, there is a scale-invariant pattern of trait convergence. On the contrary, in the late and intermediate stages of succession we observed that trait divergence became frequent at smaller grains and extents. The trend along the chronosequence is consistent with the theoretical hypothesis that predicts a shift from convergence to divergence along succession.

  14. d

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

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Sep 12, 2019
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    Charles W. Fox; Josiah P. Ritchey; C.E. Timothy Paine; C. E. Timothy Paine (2019). Patterns of authorship in ecology and evolution: first, last and corresponding authorship vary with gender and geography [Dataset]. http://doi.org/10.5061/dryad.k0h70b0
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    zipAvailable download formats
    Dataset updated
    Sep 12, 2019
    Dataset provided by
    Dryad
    Authors
    Charles W. Fox; Josiah P. Ritchey; C.E. Timothy Paine; C. E. Timothy Paine
    Time period covered
    2019
    Description

    Authorship of submitted papers_anonymizedThe submitted papers dataset used for analyses in Fox et al. The dataset has been anonymized by removing author country identifiers (and associated country data), inclusion of which could allow some authors to be identified; the dataset only includes higher level geographic locations.Data for Dryad_anonymized.xlsx

  15. d

    Data from: Regional patterns of magnetite authigenesis in the Appalachian...

    • datadiscoverystudio.org
    html +1
    Updated 1989
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    (1989). Regional patterns of magnetite authigenesis in the Appalachian Basin: implications for the mechanism of late Paleozoic remagnetization. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/a5fe2cf496c64095b5178383c66ba2db/html
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    multipart/related;type=text/tab-separated-values;boundary=>>>>>>>>>>;, htmlAvailable download formats
    Dataset updated
    1989
    Area covered
    Description

    McCabe, C., Jackson, M. and Saffer, B. (1989). Regional patterns of magnetite authigenesis in the Appalachian Basin: implications for the mechanism of late Paleozoic remagnetization. Journal of Geophysical Research 94: doi: 10.1029/89JB00930. issn: 0148-0227. Type: [ Outcrop ] Class: [ Sedimentary ] Lithology: [ Oolitic Limestone|Limestone ] Ages: [ 250 to 472 Ma N 3 ] from Earthref Magic

  16. p

    Data from: Occurrence and distribution patterns of the diseases of goat in...

    • openacessjournal.primarydomain.in
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    Open access journals, Occurrence and distribution patterns of the diseases of goat in dhaka, bangladesh [Dataset]. https://www.openacessjournal.primarydomain.in/abstract/419
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    Dataset authored and provided by
    Open access journals
    Area covered
    Bangladesh, Dhaka
    Description

    Occurrence and distribution patterns of the diseases of goat in dhaka bangladesh Objective The study was conducted to determine the occurrence and distribution patterns of diseases in goat during the period of January 2018 to December 2018 Materials and Methods A total of 452 goats were recorded during the study period The diseases were diagnosed based on clinical signs owners complain and laboratory findings The prevalence was measured according to season and age of the goats which wer

  17. Data from: Michigan Plecoptera (Stoneflies): Distribution Patterns And An...

    • gbif.org
    Updated May 6, 2022
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    Scott A. Grubbs; Massimo Pessino; R. Edward DeWalt; Scott A. Grubbs; Massimo Pessino; R. Edward DeWalt (2022). Michigan Plecoptera (Stoneflies): Distribution Patterns And An Updated Species List [Dataset]. http://doi.org/10.5281/zenodo.4753235
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    Dataset updated
    May 6, 2022
    Dataset provided by
    Plazi
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Authors
    Scott A. Grubbs; Massimo Pessino; R. Edward DeWalt; Scott A. Grubbs; Massimo Pessino; R. Edward DeWalt
    License

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

    Description

    This dataset contains the digitized treatments in Plazi based on the original journal article Grubbs, Scott A., Pessino, Massimo, DeWalt, R. Edward (2012): Michigan Plecoptera (Stoneflies): Distribution Patterns And An Updated Species List. Illiesia 8 (18): 162-173, DOI: http://doi.org/10.5281/zenodo.4753235

  18. d

    Data from: Global biome patterns of the Middle and Late Pleistocene

    • datadryad.org
    • data.niaid.nih.gov
    zip
    Updated Apr 7, 2023
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    Brian Huntley; Judy Allen; Matthew Forrest; Thomas Hickler; Ralf Ohlemüller; Joy Singarayer; Paul Valdes (2023). Global biome patterns of the Middle and Late Pleistocene [Dataset]. http://doi.org/10.5061/dryad.pnvx0k6rw
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    zipAvailable download formats
    Dataset updated
    Apr 7, 2023
    Dataset provided by
    Dryad
    Authors
    Brian Huntley; Judy Allen; Matthew Forrest; Thomas Hickler; Ralf Ohlemüller; Joy Singarayer; Paul Valdes
    Time period covered
    2022
    Description

    Our primary aim was to assess the hypothesis that distinctive features of the patterns of vegetation change during successive Quaternary glacial–interglacial cycles reflect climatic differences arising from forcing differences. We addressed this hypothesis using 207 half-degree resolution global biome pattern simulations, for time slices between 800 ka and 2 ka, made using the LPJ-GUESS dynamic global vegetation model. Simulations were driven using ice-core atmospheric CO2 concentrations, Earth’s obliquity, and outputs from a pre-industrial and 206 palaeoclimate experiments; four additional simulations were driven using projected future CO2 concentrations. Climate experiments were run using HadCM3. Using a rule-based approach, above-ground biomass and leaf area index of LPJ-GUESS plant functional types were used to infer each grid cell’s biome. The hypothesis is supported by the palaeobiome simulations. To enable comparisons with the climatic forcing, multivariate analyses were performe...

  19. H

    Dataset of 'Global Patterns of the Contributions of Storm Frequency,...

    • beta.hydroshare.org
    • hydroshare.org
    • +1more
    zip
    Updated Mar 16, 2021
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    Stephen P Good (2021). Dataset of 'Global Patterns of the Contributions of Storm Frequency, Intensity, and Seasonality to Interannual Variability of Precipitation' [Dataset]. https://beta.hydroshare.org/resource/385acd1dc21e4198b73ecd912313b01d/
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    zip(81.2 MB)Available download formats
    Dataset updated
    Mar 16, 2021
    Dataset provided by
    HydroShare
    Authors
    Stephen P Good
    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, 1998 - Dec 31, 2013
    Area covered
    Tropical regions as covered by TRMM,
    Description

    This resource contains the datasets derived in the 2016 Journal of Climate publication by Stephen Good, Kaiyu Guan, and Kelly Caylor titled "Global Patterns of the Contributions of Storm Frequency, Intensity, and Seasonality to Interannual Variability of Precipitation" (DOI: 10.1175/JCLI-D-14-00653.1). Included here are the data in figure 6 of the paper. Each subplot of the figure has a csv file with 400 by 1440 elements. The files span from 50S to 50N and all the way around the globe starting at 0E. Units are as in the figure. Users are directed to the paper for more information.

  20. RAD-SEQ LINKAGE MAPPING AND PATTERNS OF SEGREGATION DISTORTION IN SEDGES:...

    • zenodo.org
    application/gzip, zip
    Updated Jan 21, 2020
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    Marcial Escudero; Marcial Escudero (2020). RAD-SEQ LINKAGE MAPPING AND PATTERNS OF SEGREGATION DISTORTION IN SEDGES: MEIOSIS AS A DRIVER OF KARYOTYPIC EVOLUTION IN ORGANISMS WITH HOLOCENTRIC CHROMOSOMES" in Journal of Evolutionary Biology [Dataset]. http://doi.org/10.5281/zenodo.1196852
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    application/gzip, zipAvailable download formats
    Dataset updated
    Jan 21, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Marcial Escudero; Marcial Escudero
    License

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

    Description

    This a data set from the paper RAD-SEQ LINKAGE MAPPING AND PATTERNS OF SEGREGATION DISTORTION IN SEDGES: MEIOSIS AS A DRIVER OF KARYOTYPIC EVOLUTION IN ORGANISMS WITH HOLOCENTRIC CHROMOSOMES" to be published in Journal of Evolutionary Biology

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Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad (2023). Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work [Dataset]. http://doi.org/10.1371/journal.pone.0229446

Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work

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88 scholarly articles cite this dataset (View in Google Scholar)
docxAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
PLOS ONE
Authors
Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad
License

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

Description

To disseminate research, scholars once relied on university media services or journal press releases, but today any academic can turn to Twitter to share their published work with a broader audience. The possibility that scholars can push their research out, rather than hope that it is pulled in, holds the potential for scholars to draw wide attention to their research. In this manuscript, we examine whether there are systematic differences in the types of scholars who most benefit from this push model. Specifically, we investigate the extent to which there are gender differences in the dissemination of research via Twitter. We carry out our analyses by tracking tweet patterns for articles published in six journals across two fields (political science and communication), and we pair this Twitter data with demographic and educational data about the authors of the published articles, as well as article citation rates. We find considerable evidence that, overall, article citations are positively correlated with tweets about the article, and we find little evidence to suggest that author gender affects the transmission of research in this new media.

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