37 datasets found
  1. Data from: Journal Ranking Dataset

    • kaggle.com
    Updated Aug 15, 2023
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    Abir (2023). Journal Ranking Dataset [Dataset]. https://www.kaggle.com/datasets/xabirhasan/journal-ranking-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 15, 2023
    Dataset provided by
    Kaggle
    Authors
    Abir
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Journals & Ranking

    An academic journal or research journal is a periodical publication in which research articles relating to a particular academic discipline is published, according to Wikipedia. Currently, there are more than 25,000 peer-reviewed journals that are indexed in citation index databases such as Scopus and Web of Science. These indexes are ranked on the basis of various metrics such as CiteScore, H-index, etc. The metrics are calculated from yearly citation data of the journal. A lot of efforts are given to make a metric that reflects the journal's quality.

    Journal Ranking Dataset

    This is a comprehensive dataset on the academic journals coving their metadata information as well as citation, metrics, and ranking information. Detailed data on their subject area is also given in this dataset. The dataset is collected from the following indexing databases: - Scimago Journal Ranking - Scopus - Web of Science Master Journal List

    The data is collected by scraping and then it was cleaned, details of which can be found in HERE.

    Key Features

    • Rank: Overall rank of journal (derived from sorted SJR index).
    • Title: Name or title of journal.
    • OA: Open Access or not.
    • Country: Country of origin.
    • SJR-index: A citation index calculated by Scimago.
    • CiteScore: A citation index calculated by Scopus.
    • H-index: Hirsh index, the largest number h such that at least h articles in that journal were cited at least h times each.
    • Best Quartile: Top Q-index or quartile a journal has in any subject area.
    • Best Categories: Subject areas with top quartile.
    • Best Subject Area: Highest ranking subject area.
    • Best Subject Rank: Rank of the highest ranking subject area.
    • Total Docs.: Total number of documents of the journal.
    • Total Docs. 3y: Total number of documents in the past 3 years.
    • Total Refs.: Total number of references of the journal.
    • Total Cites 3y: Total number of citations in the past 3 years.
    • Citable Docs. 3y: Total number of citable documents in the past 3 years.
    • Cites/Doc. 2y: Total number of citations divided by the total number of documents in the past 2 years.
    • Refs./Doc.: Total number of references divided by the total number of documents.
    • Publisher: Name of the publisher company of the journal.
    • Core Collection: Web of Science core collection name.
    • Coverage: Starting year of coverage.
    • Active: Active or inactive.
    • In-Press: Articles in press or not.
    • ISO Language Code: Three-letter ISO 639 code for language.
    • ASJC Codes: All Science Journal Classification codes for the journal.

    Rest of the features provide further details on the journal's subject area or category: - Life Sciences: Top level subject area. - Social Sciences: Top level subject area. - Physical Sciences: Top level subject area. - Health Sciences: Top level subject area. - 1000 General: ASJC main category. - 1100 Agricultural and Biological Sciences: ASJC main category. - 1200 Arts and Humanities: ASJC main category. - 1300 Biochemistry, Genetics and Molecular Biology: ASJC main category. - 1400 Business, Management and Accounting: ASJC main category. - 1500 Chemical Engineering: ASJC main category. - 1600 Chemistry: ASJC main category. - 1700 Computer Science: ASJC main category. - 1800 Decision Sciences: ASJC main category. - 1900 Earth and Planetary Sciences: ASJC main category. - 2000 Economics, Econometrics and Finance: ASJC main category. - 2100 Energy: ASJC main category. - 2200 Engineering: ASJC main category. - 2300 Environmental Science: ASJC main category. - 2400 Immunology and Microbiology: ASJC main category. - 2500 Materials Science: ASJC main category. - 2600 Mathematics: ASJC main category. - 2700 Medicine: ASJC main category. - 2800 Neuroscience: ASJC main category. - 2900 Nursing: ASJC main category. - 3000 Pharmacology, Toxicology and Pharmaceutics: ASJC main category. - 3100 Physics and Astronomy: ASJC main category. - 3200 Psychology: ASJC main category. - 3300 Social Sciences: ASJC main category. - 3400 Veterinary: ASJC main category. - 3500 Dentistry: ASJC main category. - 3600 Health Professions: ASJC main category.

  2. Supplementary data on journal quartiles and citation indicators across...

    • zenodo.org
    png
    Updated Apr 13, 2025
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    Serhii Nazarovets; Serhii Nazarovets (2025). Supplementary data on journal quartiles and citation indicators across disciplines [Dataset]. http://doi.org/10.5281/zenodo.15206056
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    pngAvailable download formats
    Dataset updated
    Apr 13, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Serhii Nazarovets; Serhii Nazarovets
    License

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

    Description

    This dataset provides supplementary data extracted and processed from the SCImago Journal Rank portal (2023) and the Scopus Discontinued Titles list (February 2025). It includes journal-level metrics such as SJR and h-index, quartile assignments, and subject category information. The files are intended to support exploratory analysis of citation patterns, disciplinary variations, and structural characteristics of journal evaluation systems. The dataset also contains Python code and visual materials used to examine relationships between prestige metrics and cumulative citation indicators.

    Contents:

    • Scimago Journal Rank 2023.xlsx – full SJR dataset with quartile and h-index data.
    • Q1 journals with h-index below 5 (SJR 2023).xlsx – filtered subset of Q1 journals with low citation impact.
    • Relationship between journal h-index and SJR 2023.png – visualization of SJR vs h-index by quartile.
    • Scopus Discontinued Titles (Feb 2025) – list of discontinued sources from Scopus used for consistency checks.
    • Python script for data processing and visualization.
  3. The Importance of Conference Proceedings in Research Evaluation: a...

    • figshare.com
    xlsx
    Updated May 7, 2020
    + more versions
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    Dmitry Kochetkov; Aliaksandr Birukou; Anna Ermolayeva (2020). The Importance of Conference Proceedings in Research Evaluation: a Methodology Based on Scimago Journal Rank (SJR) [Dataset]. http://doi.org/10.6084/m9.figshare.12129564.v1
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    xlsxAvailable download formats
    Dataset updated
    May 7, 2020
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Dmitry Kochetkov; Aliaksandr Birukou; Anna Ermolayeva
    License

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

    Description

    Conferences are an essential tool for scientific communication. In disciplines such as Computer Science, over 50% of original research results are published in conference proceedings. In this dataset, there is is a list of conference proceedings, categorized Q1 - Q4 by analogy with SJR journal quartiles. We have analyzed the role of conference proceedings in various disciplines and proposed an alternative approach to research evaluation based on conference proceedings and Scimago Journal Rank (SJR). Comparison of the resulting list in Computer Science with the CORE ranking showed a 62% match, as well as an average rank correlation of the distribution by category.

  4. f

    Data Used in Longitudinal and Joint Outcome Models.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon (2023). Data Used in Longitudinal and Joint Outcome Models. [Dataset]. http://doi.org/10.1371/journal.pone.0130027.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon
    License

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

    Description
    • 2004–2006 data were used in joint outcome models of age-specific mortality.Data Used in Longitudinal and Joint Outcome Models.
  5. Data articles in journals

    • zenodo.org
    csv, txt, xls
    Updated May 30, 2025
    + more versions
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    Carlota Balsa-Sanchez; Carlota Balsa-Sanchez; Vanesa Loureiro; Vanesa Loureiro (2025). Data articles in journals [Dataset]. http://doi.org/10.5281/zenodo.15553313
    Explore at:
    txt, csv, xlsAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Carlota Balsa-Sanchez; Carlota Balsa-Sanchez; Vanesa Loureiro; Vanesa Loureiro
    License

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

    Time period covered
    2025
    Description

    Version: 6

    Date of data collection: May 2025
    
    General description: Publication of datasets according to the FAIR principles could be reached publishing a data paper (and/or a software paper) in data journals as well as in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
    
    File list:
    
    - data_articles_journal_list_v6.xlsx: full list of 177 academic journals in which data papers or/and software papers could be published
    - data_articles_journal_list_v6.csv: full list of 177 academic journals in which data papers or/and software papers could be published
    - readme_v6.txt, with a detailed descritption of the dataset and its variables.
    
    Relationship between files: both files have the same information. Two different formats are offered to improve reuse
    
    Type of version of the dataset: final processed version
    
    Versions of the files: 6th version
    - Information updated: number of journals (17 were added and 4 were deleted), URL, document types associated to a specific journal.
    - Information added: diamond journals were identified.

    Version: 5

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2023/09/05

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
    File list:

    - data_articles_journal_list_v5.xlsx: full list of 162 academic journals in which data papers or/and software papers could be published
    - data_articles_journal_list_v5.csv: full list of 162 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 5th version
    - Information updated: number of journals, URL, document types associated to a specific journal.
    163 journals (excel y csv)

    Version: 4

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2022/12/15

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
    File list:

    - data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
    - data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 4th version
    - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
    - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

    Version: 3

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2022/10/28

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
    File list:

    - data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
    - data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 3rd version
    - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
    - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

    Erratum - Data articles in journals Version 3:

    Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2
    Data -- ISSN 2306-5729 -- JCR (JIF) n/a
    Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

    Version: 2

    Author: Francisco Rubio, Universitat Politècnia de València.

    Date of data collection: 2020/06/23

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
    File list:

    - data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
    - data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 2nd version
    - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
    - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

    Total size: 32 KB

    Version 1: Description

    This dataset contains a list of journals that publish data articles, code, software articles and database articles.

    The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals.
    Acknowledgements:
    Xaquín Lores Torres for his invaluable help in preparing this dataset.

  6. f

    Univariate Model Fits for Average Poor Mental Health Days and Average Poor...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon (2023). Univariate Model Fits for Average Poor Mental Health Days and Average Poor Physical Health Days. [Dataset]. http://doi.org/10.1371/journal.pone.0130027.t008
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon
    License

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

    Description

    Univariate Model Fits for Average Poor Mental Health Days and Average Poor Physical Health Days.

  7. f

    Univariate Model Fits for Ages 45–54, 55–64, and Ages 65–74 Mortality Rates....

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
    + more versions
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    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon (2023). Univariate Model Fits for Ages 45–54, 55–64, and Ages 65–74 Mortality Rates. [Dataset]. http://doi.org/10.1371/journal.pone.0130027.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon
    License

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

    Description

    Univariate Model Fits for Ages 45–54, 55–64, and Ages 65–74 Mortality Rates.

  8. f

    Joint Outcome Model Fit for Age-specific Mortality Rates.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon (2023). Joint Outcome Model Fit for Age-specific Mortality Rates. [Dataset]. http://doi.org/10.1371/journal.pone.0130027.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon
    License

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

    Description

    Joint Outcome Model Fit for Age-specific Mortality Rates.

  9. Historians' ranking of U.S. presidents 2021

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Historians' ranking of U.S. presidents 2021 [Dataset]. https://www.statista.com/statistics/1123920/us-presidents-historian-ranking/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the 2021 C-SPAN Survey of Presidential Leadership, Abraham Lincoln was chosen as the country's top ranked president for the fourth time in a row. This is the fourth survey of its kind; the first was conducted in 2000, during Bill Clinton's final year in office, while the subsequent three surveys were held in the years after each respective president left office. Compared to the previous survey, the top nine presidents have remained in the same positions, while Barack Obama moved up from 12th place in 2017 to round out the top 10 in 2021. The bottom three presidents also remained unchanged from previous surveys, and were Abraham Lincoln's two predecessors and successor, ranked so low due to their perceived failures before and after the American Civil War.

    Criteria A total of 142 experts took part in this survey, and were asked to rank each president on a scale of one (not effective) to ten (very effective) across ten different qualities. Scores in each area were then converted to an average value out of 100, and combined to give a total score out of 1,000. Generally, there was a strong correlation across the board in each area, for example, Lincoln ranked among the top four in each individual area, while Buchanan was in the bottom three of each. Despite this, there was some deviation; Lyndon Johnson was ranked second in the category Pursued Equal Justice For All, but 39th in International Relations. There has also been deviation over time, such as Woodrow Wilson falling from sixth place overall in 2000, to 13th place in 2021, or Ulysses S. Grant moving up from 33rd to 20th over the same period, as perceptions of past presidents' performances are revised over time.

    Donald Trump The most recent president, Donald Trump, made his first appearance at number 41 on the list, out of a total of 44 entries (Grover Cleveland is generally viewed as the 22nd and 24th president, but has been included once here). In the individual criteria, Trump was ranked last in both Moral Authority and Administrative Skills, whereas Public Persuasion was the only area where he did not feature in the bottom quartile. The next survey will likely take place in either 2025 or 2029, at the end of Joe Biden's time in office, while we may be seeing Trump re-evaluated in the 2029 survey if he does run for office again and takes victory in the 2024 election.

  10. f

    Univariate Model Fits for Fair or Poor Health Prevalence and Percent of...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon (2023). Univariate Model Fits for Fair or Poor Health Prevalence and Percent of Births with Low Birth Weight. [Dataset]. http://doi.org/10.1371/journal.pone.0130027.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon
    License

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

    Description

    Univariate Model Fits for Fair or Poor Health Prevalence and Percent of Births with Low Birth Weight.

  11. d

    Public Investment Community Index

    • catalog.data.gov
    • data.ct.gov
    Updated Jul 19, 2025
    + more versions
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    data.ct.gov (2025). Public Investment Community Index [Dataset]. https://catalog.data.gov/dataset/public-investment-community-index
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    Dataset updated
    Jul 19, 2025
    Dataset provided by
    data.ct.gov
    Description

    The Office of Policy and Management (OPM) prepares the Public Investment Community (PIC) index not later than July 15 annually, pursuant to §7-545 of the Connecticut General Statutes (CGS). The PIC index measures the relative wealth and need of Connecticut’s towns by ranking them in descending order by their cumulative point allocations for: (1) per capita income; (2) adjusted equalized net grand list per capita; (3) equalized mill rate; (4) per capita aid to children receiving Temporary Family Assistance program benefits; and (5) unemployment rate. Pursuant to CGS §7-545 the PIC index includes each town that has a cumulative point ranking in the top quartile of the PIC Index (i.e. the 42 towns with the highest number of points). When a town’s ranking falls below the top quartile in a given fiscal year, the town's designation as a Public Investment Community continues for that year and the following four fiscal years. As a result, the PIC index includes certain towns carried over from previous fiscal years (indicated in the data as "grandfathered"). The PIC index determines eligibility for several financial assistance programs that various agencies administer, including: -Urban Action Bond Assistance -Small Town Economic Assistance Program -Community Economic Development Program -Residential Mortgage Guarantee Program -Education Cost Sharing -Malpractice Insurance Purchase Program -Connecticut Manufacturing Innovation Fund -Enterprise Corridor Zone Designation Most of the towns included on the PIC index are eligible to elect for assistance under the Small Town Economic Assistance Program (STEAP) in lieu of Urban Action Bond assistance, pursuant to CGS §4-66g(b). An eligible town’s legislative body (or its board of selectmen if the town’s legislative body is the town meeting) must vote to choose STEAP assistance and the town must notify OPM following the vote. STEAP election is valid for four years and the statute allows extensions for additional four-year periods.

  12. C

    Replication Data for Comparative analysis of academic achievement between...

    • dataverse.csuc.cat
    pdf, txt
    Updated Jul 14, 2025
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    Josep Nebot-Cegarra; Josep Nebot-Cegarra; Carlos Nebot-Bergua; Carlos Nebot-Bergua; Jordi Gascon-Bayarri; Jordi Gascon-Bayarri; Enric Macarulla; Enric Macarulla; Silvia Ricart; Silvia Ricart (2025). Replication Data for Comparative analysis of academic achievement between face-to-face and e-learning modalities [Dataset]. http://doi.org/10.34810/data1932
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    txt(9769), pdf(338835)Available download formats
    Dataset updated
    Jul 14, 2025
    Dataset provided by
    CORA.Repositori de Dades de Recerca
    Authors
    Josep Nebot-Cegarra; Josep Nebot-Cegarra; Carlos Nebot-Bergua; Carlos Nebot-Bergua; Jordi Gascon-Bayarri; Jordi Gascon-Bayarri; Enric Macarulla; Enric Macarulla; Silvia Ricart; Silvia Ricart
    License

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

    Description

    Purpose: To compare the academic outcomes of 1160 medical students in the anatomy of the human digestive system module, in topics studied face-to-face and online. Nature: Quantitative grades and quartile rankings. Scope of the dataset: Grades from four consecutive courses with the same topics, teachers, online resources, and type of assessment.

  13. Z

    Data articles in journals

    • data.niaid.nih.gov
    Updated Sep 22, 2023
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    Loureiro, Vanesa (2023). Data articles in journals [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3753373
    Explore at:
    Dataset updated
    Sep 22, 2023
    Dataset provided by
    Balsa-Sanchez, Carlota
    Loureiro, Vanesa
    License

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

    Description

    Version: 5

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2023/09/05

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v5.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_v5.csv: full list of 140 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 5th version - Information updated: number of journals, URL, document types associated to a specific journal.

    Version: 4

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2022/12/15

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 4th version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

    Version: 3

    Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

    Date of data collection: 2022/10/28

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 3rd version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

    Erratum - Data articles in journals Version 3:

    Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2 Data -- ISSN 2306-5729 -- JCR (JIF) n/a Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

    Version: 2

    Author: Francisco Rubio, Universitat Politècnia de València.

    Date of data collection: 2020/06/23

    General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers. File list:

    • data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
    • data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

    Relationship between files: both files have the same information. Two different formats are offered to improve reuse

    Type of version of the dataset: final processed version

    Versions of the files: 2nd version - Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types - Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

    Total size: 32 KB

    Version 1: Description

    This dataset contains a list of journals that publish data articles, code, software articles and database articles.

    The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals. Acknowledgements: Xaquín Lores Torres for his invaluable help in preparing this dataset.

  14. r

    Journal of Environmental Chemical Engineering Impact Factor 2024-2025 -...

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Journal of Environmental Chemical Engineering Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/550/journal-of-environmental-chemical-engineering
    Explore at:
    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Environmental Chemical Engineering Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Environmental Chemical Engineering provides a forum for the publication of original research on the development of sustainable technologies focusing on water and wastewater treatment and reuse; pollution prevention; resource recovery of waste; nanomaterials for environmental applications; sustainability and environmental safety; and recent developments on green chemistry. JECE calls for full-length research papers, critical review papers, perspectives and letters to the Editor that cover the following fields: Physico-chemical processes: Adsorption/biosorption, ion exchange, membrane processes, magnetic separation, particle separation, phase separation, multiphase extraction, thermal/evaporative processes Advanced oxidation processes: Heterogeneous catalysis, UV/H2O2, Fenton oxidation, ozonation, sonolysis, plasma processes, electrochemical treatment, wet air oxidation Nanomaterials for environmental and chemical applications: Adsorbents, catalysts, nanocomposites, metal-organic frameworks, nanocarbon materials Biological processes: Anaerobic process, aerobic process, biofilm process, membrane bioreactorSustainable technologies: Water reclamation and reuse, carbon capture, wast-to-energy/materials, resource recovery JECE also covers the following fields: Occurence, fate, transport and detection of micropollutants, nanoparticles and microplastics Antimicrobial resistance Greenhouse gas mitigation technologies Novel disinfection methods Zero or minimal liquid discharge technologies Biofuel production Advanced water analytics Abstracting and Indexing INSPEC Journal Title Abbreviations CHEM ENG J ISSN 1385-8947 h-index 172 CiteScore SJR SNIP CiteScore Rank 8.47 2.066 1.941 Subject field Quartiles Rank Percentile Category: Engineering Subcategory: Industrial and Manufacturing Engineering Q1 5 / 323 98% Category: Environmental Science Subcategory: Environmental Chemistry Q1 5 / 100 95% Category: Chemical Engineering Subcategory: General Chemical Engineering Q1 8 / 272 97% Category: Chemistry Subcategory: General Chemistry Q1 22 / 371 94%

  15. m

    PUCV Contexto Tabla 4. Producción de alta calidad - %Q1

    • data.mendeley.com
    Updated Oct 21, 2020
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    Atilio Bustos-González (2020). PUCV Contexto Tabla 4. Producción de alta calidad - %Q1 [Dataset]. http://doi.org/10.17632/v2b2hgjn8j.1
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    Dataset updated
    Oct 21, 2020
    Authors
    Atilio Bustos-González
    License

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

    Description

    High Quality Publications (Q1): the number of publications that an institution publishes in the most influential scholarly journals of the world. These are those ranked in the first quartile (25%) in their categories as ordered by SCImago Journal Rank (SJRII) indicator (Miguel, Chinchilla-Rodríguez and Moya-Anegón, 2011; Chinchilla-Rodríguez, Miguel, and Moya-Anegón, 2015). Size-dependent indicator.

  16. w

    Ratio of House Prices to Earnings, Borough

    • data.wu.ac.at
    • data.europa.eu
    xls
    Updated Sep 26, 2015
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    London Datastore Archive (2015). Ratio of House Prices to Earnings, Borough [Dataset]. https://data.wu.ac.at/schema/datahub_io/Y2U0Y2MzMjItYTU1MS00YTJjLTkxMDYtMDcwZWMwYzFhMzFk
    Explore at:
    xls(69632.0)Available download formats
    Dataset updated
    Sep 26, 2015
    Dataset provided by
    London Datastore Archive
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    This table shows the average House Price/Earnings ratio, which is an important indicator of housing affordability. Ratios are calculated by dividing house price by the median earnings of a borough.

    The Annual Survey of Hours and Earnings (ASHE) is based on a 1 per cent sample of employee jobs. Information on earnings and hours is obtained in confidence from employers. It does not cover the self-employed nor does it cover employees not paid during the reference period. Information is as at April each year. The statistics used are workplace based full-time individual earnings.

    Land Registry housing data are for the first half of the year only, so that they comparable to the ASHE data which are as at April.
    Prior to 2006 data are not available for Inner and Outer London.

    The lowest 25 per cent of prices are below the lower quartile; the highest 75 per cent are above the lower quartile.
    The "lower quartile" property price/income is determined by ranking all property prices/incomes in ascending order.
    The 'median' property price/income is determined by ranking all property prices/incomes in ascending order. The point at which one half of the values are above and one half are below is the median.

    Regional data has not been published by DCLG since 2012. Data for regions has been calculated by the GLA. Data for 2014 has been calculated by the GLA.

    Link to DCLG Live Tables

  17. Frequency of major discrepancies between registry and publication, by...

    • plos.figshare.com
    xls
    Updated Nov 22, 2024
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    Bing-Han Shang; Fang-Hui Yang; Yao Lin; Szymon Bialka; Dina Christa Janse van Rensburg; Adriano R. Tonelli; Sheikh Mohammed Shariful Islam; Izumi Kawagoe; Caroline Rhéaume; Kai-Ping Zhang (2024). Frequency of major discrepancies between registry and publication, by different journal quartiles. [Dataset]. http://doi.org/10.1371/journal.pone.0305027.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bing-Han Shang; Fang-Hui Yang; Yao Lin; Szymon Bialka; Dina Christa Janse van Rensburg; Adriano R. Tonelli; Sheikh Mohammed Shariful Islam; Izumi Kawagoe; Caroline Rhéaume; Kai-Ping Zhang
    License

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

    Description

    Frequency of major discrepancies between registry and publication, by different journal quartiles.

  18. g

    Ratio of House Prices to Earnings, Borough | gimi9.com

    • gimi9.com
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    Ratio of House Prices to Earnings, Borough | gimi9.com [Dataset]. https://gimi9.com/dataset/uk_ratio-of-house-prices-to-earnings-borough
    Explore at:
    Description

    🇬🇧 United Kingdom English This table shows the average House Price/Earnings ratio, which is an important indicator of housing affordability. Ratios are calculated by dividing house price by the median earnings of a borough. The Annual Survey of Hours and Earnings (ASHE) is based on a 1 per cent sample of employee jobs. Information on earnings and hours is obtained in confidence from employers. It does not cover the self-employed nor does it cover employees not paid during the reference period. Information is as at April each year. The statistics used are workplace based full-time individual earnings. Pre-2013 Land Registry housing data are for the first half of the year only, so that they are comparable to the ASHE data which are as at April. This is no longer the case from 2013 onwards as this data uses house price data from the ONS House Price Statistics for Small Areas statistical release. Prior to 2006 data are not available for Inner and Outer London. The lowest 25 per cent of prices are below the lower quartile; the highest 75 per cent are above the lower quartile. The "lower quartile" property price/income is determined by ranking all property prices/incomes in ascending order. The 'median' property price/income is determined by ranking all property prices/incomes in ascending order. The point at which one half of the values are above and one half are below is the median. Regional data has not been published by DCLG since 2012. Data for regions has been calculated by the GLA. Data since 2014 has been calculated by the GLA using Land Registry house prices and ONS Earnings data. Link to DCLG Live Tables An interactive map showing the affordability ratios by local authority for 2013, 2014 and 2015 is also available.

  19. r

    Journal of Environmental Chemical Engineering Publication fee -...

    • researchhelpdesk.org
    Updated May 6, 2022
    + more versions
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    Research Help Desk (2022). Journal of Environmental Chemical Engineering Publication fee - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/publication-fee/550/journal-of-environmental-chemical-engineering
    Explore at:
    Dataset updated
    May 6, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Environmental Chemical Engineering Publication fee - ResearchHelpDesk - The Journal of Environmental Chemical Engineering provides a forum for the publication of original research on the development of sustainable technologies focusing on water and wastewater treatment and reuse; pollution prevention; resource recovery of waste; nanomaterials for environmental applications; sustainability and environmental safety; and recent developments on green chemistry. JECE calls for full-length research papers, critical review papers, perspectives and letters to the Editor that cover the following fields: Physico-chemical processes: Adsorption/biosorption, ion exchange, membrane processes, magnetic separation, particle separation, phase separation, multiphase extraction, thermal/evaporative processes Advanced oxidation processes: Heterogeneous catalysis, UV/H2O2, Fenton oxidation, ozonation, sonolysis, plasma processes, electrochemical treatment, wet air oxidation Nanomaterials for environmental and chemical applications: Adsorbents, catalysts, nanocomposites, metal-organic frameworks, nanocarbon materials Biological processes: Anaerobic process, aerobic process, biofilm process, membrane bioreactorSustainable technologies: Water reclamation and reuse, carbon capture, wast-to-energy/materials, resource recovery JECE also covers the following fields: Occurence, fate, transport and detection of micropollutants, nanoparticles and microplastics Antimicrobial resistance Greenhouse gas mitigation technologies Novel disinfection methods Zero or minimal liquid discharge technologies Biofuel production Advanced water analytics Abstracting and Indexing INSPEC Journal Title Abbreviations CHEM ENG J ISSN 1385-8947 h-index 172 CiteScore SJR SNIP CiteScore Rank 8.47 2.066 1.941 Subject field Quartiles Rank Percentile Category: Engineering Subcategory: Industrial and Manufacturing Engineering Q1 5 / 323 98% Category: Environmental Science Subcategory: Environmental Chemistry Q1 5 / 100 95% Category: Chemical Engineering Subcategory: General Chemical Engineering Q1 8 / 272 97% Category: Chemistry Subcategory: General Chemistry Q1 22 / 371 94%

  20. f

    Integrated ranking (by ZIP code) of Davidson county subpopulations based on...

    • figshare.com
    xls
    Updated May 31, 2023
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    Dana M. Brantley-Sieders; Kang-Hsien Fan; Sandra L. Deming-Halverson; Yu Shyr; Rebecca S. Cook (2023). Integrated ranking (by ZIP code) of Davidson county subpopulations based on risk factors associated with breast cancer. [Dataset]. http://doi.org/10.1371/journal.pone.0045238.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Dana M. Brantley-Sieders; Kang-Hsien Fan; Sandra L. Deming-Halverson; Yu Shyr; Rebecca S. Cook
    License

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

    Description

    Davidson county ZIP codes were ranked for each risk factor in numerical order according to: breast cancer incidence per 100,000 women, percentage of the female population over the age of 50 years, breast cancer mortality rate per 100,000 women, rate of Stage IV diagnosis, annual median income per household, the percentage of the female population lacking health insurance, and the percentage of the non-white population. Based on their numerical ranking in each dataset category, each ZIP code was assigned a risk factor quartile score, with 1 indicating the lowest quartile, and 4 indicating the highest quartile for each risk factor. The quartile score for breast cancer mortality rate was weighted double. The sum of the quartile scores of each category was calculated for each ZIP code to generate the integrated quartile score. A high integrated quartile score is intended to identify ZIP codes with the greatest need of breast cancer-related resources aimed at reducing breast cancer mortality.

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Abir (2023). Journal Ranking Dataset [Dataset]. https://www.kaggle.com/datasets/xabirhasan/journal-ranking-dataset
Organization logo

Data from: Journal Ranking Dataset

A dataset of journal ranking based on Scimago, Web of Science, and Scopus.

Related Article
Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 15, 2023
Dataset provided by
Kaggle
Authors
Abir
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

Journals & Ranking

An academic journal or research journal is a periodical publication in which research articles relating to a particular academic discipline is published, according to Wikipedia. Currently, there are more than 25,000 peer-reviewed journals that are indexed in citation index databases such as Scopus and Web of Science. These indexes are ranked on the basis of various metrics such as CiteScore, H-index, etc. The metrics are calculated from yearly citation data of the journal. A lot of efforts are given to make a metric that reflects the journal's quality.

Journal Ranking Dataset

This is a comprehensive dataset on the academic journals coving their metadata information as well as citation, metrics, and ranking information. Detailed data on their subject area is also given in this dataset. The dataset is collected from the following indexing databases: - Scimago Journal Ranking - Scopus - Web of Science Master Journal List

The data is collected by scraping and then it was cleaned, details of which can be found in HERE.

Key Features

  • Rank: Overall rank of journal (derived from sorted SJR index).
  • Title: Name or title of journal.
  • OA: Open Access or not.
  • Country: Country of origin.
  • SJR-index: A citation index calculated by Scimago.
  • CiteScore: A citation index calculated by Scopus.
  • H-index: Hirsh index, the largest number h such that at least h articles in that journal were cited at least h times each.
  • Best Quartile: Top Q-index or quartile a journal has in any subject area.
  • Best Categories: Subject areas with top quartile.
  • Best Subject Area: Highest ranking subject area.
  • Best Subject Rank: Rank of the highest ranking subject area.
  • Total Docs.: Total number of documents of the journal.
  • Total Docs. 3y: Total number of documents in the past 3 years.
  • Total Refs.: Total number of references of the journal.
  • Total Cites 3y: Total number of citations in the past 3 years.
  • Citable Docs. 3y: Total number of citable documents in the past 3 years.
  • Cites/Doc. 2y: Total number of citations divided by the total number of documents in the past 2 years.
  • Refs./Doc.: Total number of references divided by the total number of documents.
  • Publisher: Name of the publisher company of the journal.
  • Core Collection: Web of Science core collection name.
  • Coverage: Starting year of coverage.
  • Active: Active or inactive.
  • In-Press: Articles in press or not.
  • ISO Language Code: Three-letter ISO 639 code for language.
  • ASJC Codes: All Science Journal Classification codes for the journal.

Rest of the features provide further details on the journal's subject area or category: - Life Sciences: Top level subject area. - Social Sciences: Top level subject area. - Physical Sciences: Top level subject area. - Health Sciences: Top level subject area. - 1000 General: ASJC main category. - 1100 Agricultural and Biological Sciences: ASJC main category. - 1200 Arts and Humanities: ASJC main category. - 1300 Biochemistry, Genetics and Molecular Biology: ASJC main category. - 1400 Business, Management and Accounting: ASJC main category. - 1500 Chemical Engineering: ASJC main category. - 1600 Chemistry: ASJC main category. - 1700 Computer Science: ASJC main category. - 1800 Decision Sciences: ASJC main category. - 1900 Earth and Planetary Sciences: ASJC main category. - 2000 Economics, Econometrics and Finance: ASJC main category. - 2100 Energy: ASJC main category. - 2200 Engineering: ASJC main category. - 2300 Environmental Science: ASJC main category. - 2400 Immunology and Microbiology: ASJC main category. - 2500 Materials Science: ASJC main category. - 2600 Mathematics: ASJC main category. - 2700 Medicine: ASJC main category. - 2800 Neuroscience: ASJC main category. - 2900 Nursing: ASJC main category. - 3000 Pharmacology, Toxicology and Pharmaceutics: ASJC main category. - 3100 Physics and Astronomy: ASJC main category. - 3200 Psychology: ASJC main category. - 3300 Social Sciences: ASJC main category. - 3400 Veterinary: ASJC main category. - 3500 Dentistry: ASJC main category. - 3600 Health Professions: ASJC main category.

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