4 datasets found
  1. f

    Excel spreadsheet containing, in separate sheets, the underlying numerical...

    • plos.figshare.com
    xlsx
    Updated Jun 21, 2023
    + more versions
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    Elenia Toccafondi; Marine Kanja; Flore Winter; Daniela Lener; Matteo Negroni (2023). Excel spreadsheet containing, in separate sheets, the underlying numerical data presented in the manuscript. [Dataset]. http://doi.org/10.1371/journal.ppat.1011207.s007
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS Pathogens
    Authors
    Elenia Toccafondi; Marine Kanja; Flore Winter; Daniela Lener; Matteo Negroni
    License

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

    Description

    Excel spreadsheet containing, in separate sheets, the underlying numerical data presented in the manuscript.

  2. r

    Data from: Survey responses on perceived cultural identity of...

    • researchdata.edu.au
    Updated Dec 22, 2023
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    Dr Min Jung Jee; Dr Min Jung Jee (2023). Survey responses on perceived cultural identity of Korean-Australians [Dataset]. http://doi.org/10.48610/0CFB2F4
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    Dataset updated
    Dec 22, 2023
    Dataset provided by
    The University of Queensland
    Authors
    Dr Min Jung Jee; Dr Min Jung Jee
    License

    http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditionshttp://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions

    Area covered
    Australia
    Description

    The data set is derived from survey responses provided by individual participants in the study, which are stored in an Excel file. As the data is original, no modifications, coding, and/or reversing have been applied. Only numerical data from the survey questions (on a Likert scale) and written responses from the open-ended questions are stored in the file. For detailed information regarding the survey questions, it is recommended to contact the project leader via email. All names have been removed from the data set to safeguard participants' anonymity.

  3. f

    S1 Data -

    • plos.figshare.com
    xlsx
    Updated Sep 5, 2024
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    Vida Mmbaga; George Mrema; Danstan Ngenzi; Welema Magoge; Emmanuel Mwakapasa; Frank Jacob; Hamza Matimba; Medard Beyanga; Angela Samweli; Michael Kiremeji; Mary Kitambi; Erasto Sylvanus; Ernest Kyungu; Gerald Manase; Joseph Hokororo; Christer Kanyankole; Martin Rwabilimbo; Issessanda Kaniki; George Kauki; Maria Ezekiely Kelly; William Mwengee; Gabriel Ayeni; Faraja Msemwa; Grace Saguti; George S. Mgomella; Kokuhabwa Mukurasi; Marcelina Mponela; Eliakimu Kapyolo; Jonathan Mcharo; Mary Mayige; Wangeci Gatei; Ishata Conteh; Peter Mala; Mahesh Swaminathan; Pius Horumpende; Paschal Ruggajo; Grace Magembe; Zabulon Yoti; Elias Kwesi; Tumaini Nagu (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0309762.s001
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    xlsxAvailable download formats
    Dataset updated
    Sep 5, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Vida Mmbaga; George Mrema; Danstan Ngenzi; Welema Magoge; Emmanuel Mwakapasa; Frank Jacob; Hamza Matimba; Medard Beyanga; Angela Samweli; Michael Kiremeji; Mary Kitambi; Erasto Sylvanus; Ernest Kyungu; Gerald Manase; Joseph Hokororo; Christer Kanyankole; Martin Rwabilimbo; Issessanda Kaniki; George Kauki; Maria Ezekiely Kelly; William Mwengee; Gabriel Ayeni; Faraja Msemwa; Grace Saguti; George S. Mgomella; Kokuhabwa Mukurasi; Marcelina Mponela; Eliakimu Kapyolo; Jonathan Mcharo; Mary Mayige; Wangeci Gatei; Ishata Conteh; Peter Mala; Mahesh Swaminathan; Pius Horumpende; Paschal Ruggajo; Grace Magembe; Zabulon Yoti; Elias Kwesi; Tumaini Nagu
    License

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

    Description

    IntroductionIn March 2023, a Marburg Virus Disease (MVD) outbreak was declared in Kagera region, Northwestern Tanzania. This was the first MVD outbreak in the country. We describe the epidemiological characteristics of MVD cases and contacts.MethodsThe Ministry of Health activated an outbreak response team. Outbreak investigation methods were applied to cases identified through MVD standard case definitions and confirmed through reverse-transcriptase polymerase chain reaction (RT PCR). All identified case contacts were added into the contact listing form and followed up in-person daily for any signs or symptoms for 21 days. Data collected from various forms was managed and analyzed using Excel and QGIS software for mapping.ResultsA total of nine MVD cases were reported with eight laboratory-confirmed and one probable. Two of the reported cases were frontline healthcare workers and seven were family related members. Cases were children and adults between 1–59 years of age with a median age of 34 years. Six were males. Six cases died equivalent to a case fatality rate (CFR) of 66.7%. A total of 212 individuals were identified as contacts and two (2) became cases. The outbreak was localized in two geo-administrative wards (Maruku and Kanyangereko) of Bukoba District Council.ConclusionTransmission during this outbreak occurred among family members and healthcare workers who provided care to the cases. The delay in detection aggravated the spread and possibly the consequent fatality but once confirmed the swift response stemmed further transmission containing the disease at the epicenter wards. The outbreak lasted for 72 days but as the origin is still unknown, further research is required to explore the source of this outbreak.

  4. Dataset for Tabata-Fukushima et al. Mitochondrial Complex I Reverse Electron...

    • figshare.com
    xlsx
    Updated Jan 9, 2024
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    Paul Brookes (2024). Dataset for Tabata-Fukushima et al. Mitochondrial Complex I Reverse Electron Transfer ROS paper (Redox Biology, 2024). [Dataset]. http://doi.org/10.6084/m9.figshare.24585234.v2
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    xlsxAvailable download formats
    Dataset updated
    Jan 9, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Paul Brookes
    License

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

    Description

    Original data set for Fukushima et al study on mitochondrial ROS generation under conditions simulating early reperfusion injury. Microsoft Excel spreadsheet, with one tab/sheet for each figure. See "Read Me" tab for more details. Note - Tukey's post-hoc tests used "Real Statistics" Excel plug-in. Underlying calculations are not included, since they will only be visible to those with the plug-in installed in Excel.

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Elenia Toccafondi; Marine Kanja; Flore Winter; Daniela Lener; Matteo Negroni (2023). Excel spreadsheet containing, in separate sheets, the underlying numerical data presented in the manuscript. [Dataset]. http://doi.org/10.1371/journal.ppat.1011207.s007

Excel spreadsheet containing, in separate sheets, the underlying numerical data presented in the manuscript.

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
Jun 21, 2023
Dataset provided by
PLOS Pathogens
Authors
Elenia Toccafondi; Marine Kanja; Flore Winter; Daniela Lener; Matteo Negroni
License

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

Description

Excel spreadsheet containing, in separate sheets, the underlying numerical data presented in the manuscript.

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