10 datasets found
  1. Medium Turkey - Content Stats

    • kaggle.com
    Updated Aug 29, 2024
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    Ritalin56 (2024). Medium Turkey - Content Stats [Dataset]. https://www.kaggle.com/datasets/ritalin56/medium-turkey-content-stats/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 29, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ritalin56
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    (TR) Bu veri seti, Medium Türkiye'de yazılmış olan 203 adet makale/blog yazısını içermektedir

    (ENG) This dataset contains 203 articles/blog posts written on "Medium Turkey"

    • Title: Article Name
    • tag: The category to which the article belongs
    • number of read: Number of times the article was read
    • date: Share Date
  2. f

    Improving Patient Outcomes with Predictive Analytics and Data-Driven...

    • fatposglobal.com
    csv, xml
    Updated Jan 15, 2025
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    Market View Insight (2025). Improving Patient Outcomes with Predictive Analytics and Data-Driven Decision-Making [Dataset]. https://www.fatposglobal.com/blog/improving-patient-outcomes-with-predictive-analytics-and-datadriven-decisionmaking
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    xml, csvAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Market View Insight
    License

    https://fatposglobal.com/privacy-policyhttps://fatposglobal.com/privacy-policy

    Time period covered
    Jan 1, 1950 - Dec 18, 2013
    Dataset funded by
    Market View Insight
    Description

    Introduction The healthcare industry is increasingly recognizing the importance of utilizing predictive analytics and data-driven decision-making to improve patient outcomes......

  3. c

    Blog | The National Practitioner Data Bank (NPDB) Introduces Interactive...

    • s.cnmilf.com
    • data.virginia.gov
    • +1more
    Updated Mar 26, 2025
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    Harnam Singh (2025). Blog | The National Practitioner Data Bank (NPDB) Introduces Interactive Data Analysis Applications [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/blog-the-national-practitioner-data-bank-npdb-introduces-interactive-data-analysis-applica
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Harnam Singh
    Description

    This blog post was posted by Harnam Singh on May 29, 2014.

  4. n

    HadISD: Global sub-daily, surface meteorological station data, 1931-2017,...

    • data-search.nerc.ac.uk
    • catalogue.ceda.ac.uk
    Updated Jul 24, 2021
    + more versions
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    (2021). HadISD: Global sub-daily, surface meteorological station data, 1931-2017, v2.0.2.2017p [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/search?keyword=dewpoint
    Explore at:
    Dataset updated
    Jul 24, 2021
    Description

    This is version 2.0.2.2017p of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data that extends HadISD v2.0.1.2016f to include 2017 and so spans 1931-2017. These data include an update to the station selected and contain 8103 stations. These are the preliminary data for this version, a finalised version will be released in a few months with any station updates. The quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. The data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format "station_code"_HadISD_HadOBS_19310101-20171231_v2-0-2-2017p.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height. To keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/ References: When using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference) : Dunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016. Dunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012 Smith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1 For a homogeneity assessment of HadISD please see this following reference Dunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. "Pairwise homogeneity assessment of HadISD." Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014.

  5. Dig Into Details: Leveraging Granular Data in Industry Analysis

    • ibisworld.com
    Updated Sep 18, 2023
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    Dig Into Details: Leveraging Granular Data in Industry Analysis [Dataset]. https://www.ibisworld.com/blog/granular-data-in-industry-analysis/99/5641/
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    Dataset updated
    Sep 18, 2023
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Sep 18, 2023
    Description

    Dig into granular industry data: what it is, how to use it and why you should pay attention to it.

  6. I

    Global Blog Writing Service Market Growth Drivers and Challenges 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Blog Writing Service Market Growth Drivers and Challenges 2025-2032 [Dataset]. https://www.statsndata.org/report/blog-writing-service-market-112214
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    excel, pdfAvailable download formats
    Dataset updated
    Jun 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Blog Writing Service market is experiencing significant growth as businesses increasingly recognize the importance of high-quality content in establishing their online presence and engaging with customers. With the digital landscape evolving rapidly, companies across various industries are seeking professional b

  7. Z

    WSSSPE 5.1 - Data for speed blog analysis

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jan 24, 2020
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    Jay, Caroline (2020). WSSSPE 5.1 - Data for speed blog analysis [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_1305090
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    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Haines, Robert
    Jay, Caroline
    License

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

    Description

    Data and coding for the thematic/framework analysis of speed blogs produced at WSSSPE 5.1.

    WSSSPE5.1_blogs.docx contains the original text of the speed blogs, obtained from the Software Sustainability Institute website. Authors of the individual speed blogs are credited in the text of each post.

    WSSSPE5.1_blogpost_coding.xlxs contains the results of the thematic analysis.

  8. n

    HadISD: Global sub-daily, surface meteorological station data, 1931-2019,...

    • data-search.nerc.ac.uk
    • catalogue.ceda.ac.uk
    Updated Jul 24, 2021
    + more versions
    Share
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    Click to copy link
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    (2021). HadISD: Global sub-daily, surface meteorological station data, 1931-2017, v2.0.2.2017p [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/search?keyword=dewpoint
    Explore at:
    Dataset updated
    Jul 24, 2021
    Description

    This is version 3.1.0.2019f of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data that extends HadISD v3.0.0.2018f to include 2019 and so spans 1931-2019. The quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. The data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format "station_code"_HadISD_HadOBS_19310101-20200101_v3-1-0-2019f.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height. To keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/ References: When using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference) : Dunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note. Dunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016. Dunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012 Smith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1 For a homogeneity assessment of HadISD please see this following reference Dunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. "Pairwise homogeneity assessment of HadISD." Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014.

  9. Between-subject analysis.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Bridianne O’Dea; Tjeerd W. Boonstra; Mark E. Larsen; Thin Nguyen; Svetha Venkatesh; Helen Christensen (2023). Between-subject analysis. [Dataset]. http://doi.org/10.1371/journal.pone.0251787.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bridianne O’Dea; Tjeerd W. Boonstra; Mark E. Larsen; Thin Nguyen; Svetha Venkatesh; Helen Christensen
    License

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

    Description

    Between-subject analysis.

  10. u

    Fashion Industry Statistics 2025

    • upmetrics.co
    webpage
    Updated Jan 27, 2024
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    Upmetrics (2024). Fashion Industry Statistics 2025 [Dataset]. https://upmetrics.co/blog/fashion-industry-statistics
    Explore at:
    webpageAvailable download formats
    Dataset updated
    Jan 27, 2024
    Dataset authored and provided by
    Upmetrics
    License

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

    Time period covered
    2024
    Description

    A comprehensive dataset providing insights into the fashion industry, including market size, employment statistics, trends, and analysis on the apparel sector for 2025.

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

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Ritalin56 (2024). Medium Turkey - Content Stats [Dataset]. https://www.kaggle.com/datasets/ritalin56/medium-turkey-content-stats/discussion
Organization logo

Medium Turkey - Content Stats

Medium Turkey - Blog data analysis

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 29, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Ritalin56
License

Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically

Description

(TR) Bu veri seti, Medium Türkiye'de yazılmış olan 203 adet makale/blog yazısını içermektedir

(ENG) This dataset contains 203 articles/blog posts written on "Medium Turkey"

  • Title: Article Name
  • tag: The category to which the article belongs
  • number of read: Number of times the article was read
  • date: Share Date
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