6 datasets found
  1. w

    Dataset of books called Differentiating the high school classroom : solution...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called Differentiating the high school classroom : solution strategies for 18 common obstacles [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Differentiating+the+high+school+classroom+%3A+solution+strategies+for+18+common+obstacles
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    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about books. It has 1 row and is filtered where the book is Differentiating the high school classroom : solution strategies for 18 common obstacles. It features 7 columns including author, publication date, language, and book publisher.

  2. r

    Analysis of CBCS publications for Open Access, data availability statements...

    • researchdata.se
    • figshare.scilifelab.se
    Updated Aug 29, 2023
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    Th. Theresa Kieselbach (2023). Analysis of CBCS publications for Open Access, data availability statements and persistent identifiers for supplementary data [Dataset]. http://doi.org/10.17044/SCILIFELAB.23641749
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    Dataset updated
    Aug 29, 2023
    Dataset provided by
    UmeƄ University
    Authors
    Th. Theresa Kieselbach
    License

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

    Description

    General description

    This dataset contains some markers of Open Science in the publications of the Chemical Biology Consortium Sweden (CBCS) between 2010 and July 2023. The sample of CBCS publications during this period consists of 188 articles. Every publication was visited manually at its DOI URL to answer the following questions.

    1. Is the research article an Open Access publication?

    2. Does the research article have a Creative Common license or a similar license?

    3. Does the research article contain a data availability statement?

    4. Did the authors submit data of their study to a repository such as EMBL, Genbank, Protein Data Bank PDB, Cambridge Crystallographic Data Centre CCDC, Dryad or a similar repository?

    5. Does the research article contain supplementary data?

    6. Do the supplementary data have a persistent identifier that makes them citable as a defined research output?

    Variables

    The data were compiled in a Microsoft Excel 365 document that includes the following variables.

    1. DOI URL of research article

    2. Year of publication

    3. Research article published with Open Access

    4. License for research article

    5. Data availability statement in article

    6. Supplementary data added to article

    7. Persistent identifier for supplementary data

    8. Authors submitted data to NCBI or EMBL or PDB or Dryad or CCDC

    Visualization

    Parts of the data were visualized in two figures as bar diagrams using Microsoft Excel 365. The first figure displays the number of publications during a year, the number of publications that is published with open access and the number of publications that contain a data availability statement (Figure 1). The second figure shows the number of publication sper year and how many publications contain supplementary data. This figure also shows how many of the supplementary datasets have a persistent identifier (Figure 2).

    File formats and software

    The file formats used in this dataset are:

    .csv (Text file) .docx (Microsoft Word 365 file) .jpg (JPEG image file) .pdf/A (Portable Document Format for archiving) .png (Portable Network Graphics image file) .pptx (Microsoft Power Point 365 file) .txt (Text file) .xlsx (Microsoft Excel 365 file)

    All files can be opened with Microsoft Office 365 and work likely also with the older versions Office 2019 and 2016.

    MD5 checksums

    Here is a list of all files of this dataset and of their MD5 checksums.

    1. Readme.txt (MD5: 795f171be340c13d78ba8608dafb3e76)
    2. Manifest.txt (MD5: 46787888019a87bb9d897effdf719b71)
    3. Materials_and_methods.docx (MD5: 0eedaebf5c88982896bd1e0fe57849c2),
    4. Materials_and_methods.pdf (MD5: d314bf2bdff866f827741d7a746f063b),
    5. Materials_and_methods.txt (MD5: 26e7319de89285fc5c1a503d0b01d08a),
    6. CBCS_publications_until_date_2023_07_05.xlsx (MD5: 532fec0bd177844ac0410b98de13ca7c),
    7. CBCS_publications_until_date_2023_07_05.csv (MD5: 2580410623f79959c488fdfefe8b4c7b),
    8. Data_from_CBCS_publications_until_date_2023_07_05_obtained_by_manual_collection.xlsx (MD5: 9c67dd84a6b56a45e1f50a28419930e5),
    9. Data_from_CBCS_publications_until_date_2023_07_05_obtained_by_manual_collection.csv (MD5: fb3ac69476bfc57a8adc734b4d48ea2b),
    10. Aggregated_data_from_CBCS_publications_until_2023_07_05.xlsx (MD5: 6b6cbf3b9617fa8960ff15834869f793),
    11. Aggregated_data_from_CBCS_publications_until_2023_07_05.csv (MD5: b2b8dd36ba86629ed455ae5ad2489d6e),
    12. Figure_1_CBCS_publications_until_2023_07_05_Open_Access_and_data_availablitiy_statement.xlsx (MD5: 9c0422cf1bbd63ac0709324cb128410e),
    13. Figure_1.pptx (MD5: 55a1d12b2a9a81dca4bb7f333002f7fe),
    14. Image_of_figure_1.jpg (MD5: 5179f69297fbbf2eaaf7b641784617d7),
    15. Image_of_figure_1.png (MD5: 8ec94efc07417d69115200529b359698),
    16. Figure_2_CBCS_publications_until_2023_07_05_supplementary_data_and_PID_for_supplementary_data.xlsx (MD5: f5f0d6e4218e390169c7409870227a0a),
    17. Figure_2.pptx (MD5: 0fd4c622dc0474549df88cf37d0e9d72),
    18. Image_of_figure_2.jpg (MD5: c6c68b63b7320597b239316a1c15e00d),
    19. Image_of_figure_2.png (MD5: 24413cc7d292f468bec0ac60cbaa7809)
  3. School District Finance Survey, 2009-10

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Aug 12, 2023
    + more versions
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    National Center for Education Statistics (NCES) (2023). School District Finance Survey, 2009-10 [Dataset]. https://catalog.data.gov/dataset/school-district-finance-survey-2009-10-0e75c
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    School District Finance Survey, 2009-10 (F-33 2009-10), is a study that is part of the Common Core of Data (CCD) program; program data available since 1990 at . F-33 2009-10 (https://nces.ed.gov/ccd/f33ageninfo.asp) is a universe survey that is designed to provide finance data for all local education agencies (LEAs) that provide free public elementary and secondary education in the United States. The data file for F-33 2009-10 contains 18,247 records representing the public elementary and secondary education agencies in the 50 United States and the District of Columbia. Key statistics produced from F-33 2009-10 are expenditures by object and function, indebtedness, and revenues by source. The F-33 is collaboration by the National Center for Education Statistics (NCES) and the Census Bureau. Census is the primary collection agent. Census refers to the collection as the Annual Survey of Local Government Finances: School Systems and releases its own version of the data file and publication based on that file. The NCES and Census files differ in their inclusion of independent charter school districts, the classification of some revenue items, and the inclusion of some expenditure items.

  4. School District Finance Survey, 2011-12

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Mar 4, 2024
    + more versions
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    National Center for Education Statistics (NCES) (2024). School District Finance Survey, 2011-12 [Dataset]. https://catalog.data.gov/dataset/school-district-finance-survey-2011-12-9e223
    Explore at:
    Dataset updated
    Mar 4, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    School District Finance Survey, 2011-12 (F-33 2011-12), is a study that is part of the Common Core of Data (CCD) program; program data available since 1990 at . F-33 2011-12 (https://nces.ed.gov/ccd/f33ageninfo.asp) is a universe survey that is designed to provide finance data for all local education agencies (LEAs) that provide free public elementary and secondary education in the United States. The data file for F-33 2011-12 contains records representing the public elementary and secondary education agencies in the 50 United States and the District of Columbia. Key statistics produced from F-33 2011-12 are expenditures by object and function, indebtedness, and revenues by source. The F-33 is collaboration by the National Center for Education Statistics (NCES) and the Census Bureau. Census is the primary collection agent. Census refers to the collection as the Annual Survey of Local Government Finances: School Systems and releases its own version of the data file and publication based on that file. The NCES and Census files differ in their inclusion of independent charter school districts, the classification of some revenue items, and the inclusion of some expenditure items.

  5. w

    Dataset of books series that contain The persistence of the Common Law : an...

    • workwithdata.com
    Updated Nov 25, 2024
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    Work With Data (2024). Dataset of books series that contain The persistence of the Common Law : an inaugural lecture delivered in the University of Birmingham on 19th March, 1970 [Dataset]. https://www.workwithdata.com/datasets/book-series?f=1&fcol0=j0-book&fop0=%3D&fval0=The+persistence+of+the+Common+Law+%3A+an+inaugural+lecture+delivered+in+the+University+of+Birmingham+on+19th+March%2C+1970&j=1&j0=books
    Explore at:
    Dataset updated
    Nov 25, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about book series. It has 1 row and is filtered where the books is The persistence of the Common Law : an inaugural lecture delivered in the University of Birmingham on 19th March, 1970. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  6. w

    Dataset of books called The worst golf course ever : Coldham Common : a...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called The worst golf course ever : Coldham Common : a history of the Cambridge University Golf Club 1869-1919 [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=The+worst+golf+course+ever+%3A+Coldham+Common+%3A+a+history+of+the+Cambridge+University+Golf+Club+1869-1919
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about books. It has 1 row and is filtered where the book is The worst golf course ever : Coldham Common : a history of the Cambridge University Golf Club 1869-1919. It features 7 columns including author, publication date, language, and book publisher.

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    Learn how you can add new datasets to our index.

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Work With Data (2025). Dataset of books called Differentiating the high school classroom : solution strategies for 18 common obstacles [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Differentiating+the+high+school+classroom+%3A+solution+strategies+for+18+common+obstacles

Dataset of books called Differentiating the high school classroom : solution strategies for 18 common obstacles

Explore at:
Dataset updated
Apr 17, 2025
Dataset authored and provided by
Work With Data
License

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

Description

This dataset is about books. It has 1 row and is filtered where the book is Differentiating the high school classroom : solution strategies for 18 common obstacles. It features 7 columns including author, publication date, language, and book publisher.

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