100+ datasets found
  1. Most Interesting Things to People in 2024

    • kaggle.com
    Updated Mar 14, 2024
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    Elanesan Kumaravel (2024). Most Interesting Things to People in 2024 [Dataset]. https://www.kaggle.com/datasets/elanesankumaravel/most-interesting-things-to-people-in-2024/discussion?sort=undefined
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Elanesan Kumaravel
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Explore the pulse of public interest in 2024 with this comprehensive survey dataset. Conducted last month, this survey delves into the most intriguing aspects capturing people's attention. The dataset encompasses a diverse range of topics, shedding light on the preferences and trends that define the current landscape. Key Features:

    Demographic Information: Gain insights into the survey participants' demographics, including age, gender, and more. Top Interests: Uncover the most captivating subjects, hobbies, and activities that resonate with people in 2024. Emerging Trends: Identify up-and-coming trends and interests that are shaping the cultural and social landscape.

  2. q

    Analyzing interesting images motivates mathematics and statistics learning

    • qubeshub.org
    Updated Feb 28, 2018
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    Jeremy Wojdak (2018). Analyzing interesting images motivates mathematics and statistics learning [Dataset]. http://doi.org/10.25334/Q4Z66C
    Explore at:
    Dataset updated
    Feb 28, 2018
    Dataset provided by
    QUBES
    Authors
    Jeremy Wojdak
    Description

    Presentation by Jeremy Wojdak made as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America annual meeting, August 8th, 2017, Portland Oregon

  3. News topics interesting to children in the United Kingdom (UK) 2024, by...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). News topics interesting to children in the United Kingdom (UK) 2024, by gender [Dataset]. https://www.statista.com/statistics/1268843/children-and-news-topics-by-gender-united-kingdom-uk/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2023 - Mar 2024
    Area covered
    United Kingdom
    Description

    A 2024 survey on children's news consumption in the United Kingdom found that music was the most interesting news topic for girls aged 12 to 15 years old, with ** percent saying that they found it interesting to read, watch, or listen to news about music, singers, and musicians. Interest in news topics often varied according to gender: boys were keener on news about science and technology or sports than their female counterparts, whereas girls were more likely to enjoy news about fashion and beauty or celebrities and famous people.

  4. o

    OLAF PROJECT DATA SET

    • ordo.open.ac.uk
    xlsx
    Updated Nov 20, 2020
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    Alexandra Okada (2020). OLAF PROJECT DATA SET [Dataset]. http://doi.org/10.21954/ou.rd.12670949.v2
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 20, 2020
    Dataset provided by
    The Open University
    Authors
    Alexandra Okada
    License

    Attribution-ShareAlike 2.0 (CC BY-SA 2.0)https://creativecommons.org/licenses/by-sa/2.0/
    License information was derived automatically

    Description

    Subject: EducationSpecific: Online Learning and FunType: Questionnaire survey data (csv / excel)Date: February - March 2020Content: Students' views about online learning and fun Data Source: Project OLAFValue: These data provide students' beliefs about how learning occurs and correlations with fun. Participants were 206 students from the OU

  5. Most interesting news types for news avoiders worldwide 2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Most interesting news types for news avoiders worldwide 2023 [Dataset]. https://www.statista.com/statistics/1409664/news-avoiders-interest-in-news/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Feb 2023
    Area covered
    Worldwide
    Description

    A global study found that ** percent of news avoiders were interested in positive news stories, making this the most interesting type of news for these consumers. News providing solutions or explaining a situation was also popular, whereas big stories of the day were deemed the least interesting.

  6. w

    Dataset of book subjects that contain Interesting times : an encounter with...

    • workwithdata.com
    Updated Nov 7, 2024
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    Work With Data (2024). Dataset of book subjects that contain Interesting times : an encounter with the 20th century 1924 [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Interesting+times+:+an+encounter+with+the+20th+century+1924&j=1&j0=books
    Explore at:
    Dataset updated
    Nov 7, 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 subjects. It has 3 rows and is filtered where the books is Interesting times : an encounter with the 20th century 1924. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  7. h

    fun

    • huggingface.co
    Updated Aug 23, 2024
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    Ankit (2024). fun [Dataset]. https://huggingface.co/datasets/Ankitja/fun
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 23, 2024
    Authors
    Ankit
    Description

    Ankitja/fun dataset hosted on Hugging Face and contributed by the HF Datasets community

  8. World Marriage Data (UN Population Division)

    • kaggle.com
    Updated Dec 19, 2020
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    Nitish Jaipuria (2020). World Marriage Data (UN Population Division) [Dataset]. https://www.kaggle.com/datasets/thirstysoul/world-marriage-data-un-population-division
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 19, 2020
    Dataset provided by
    Kaggle
    Authors
    Nitish Jaipuria
    Area covered
    United Nations
    Description

    Content

    World Marriage Data 2012 provides a comparable and up-to-date set of data on the marital status of the population for all countries and areas of the world. Data are presented for the closest date available around five reference dates: the years closest to 1970, 1985, 1995, 2005 and the most recent data available.

    Acknowledgements

    I have pulled this data from the United Nations Data portal, did some simple post-processing to make it more user-friendly.

    Inspiration

    I primarily feel this data will be useful in conjunction with other datasets related to different disciplines wherein understanding the marriage trends will add value to the analysis.

  9. h

    rediscovery-interesting-results

    • huggingface.co
    + more versions
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    Yousef Alhessi, rediscovery-interesting-results [Dataset]. https://huggingface.co/datasets/yalhessi/rediscovery-interesting-results
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    Authors
    Yousef Alhessi
    Description

    yalhessi/rediscovery-interesting-results dataset hosted on Hugging Face and contributed by the HF Datasets community

  10. Interesting Historical Photography Locations (LGATE-267)

    • researchdata.edu.au
    Updated Jun 23, 2025
    + more versions
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    Landgate (2025). Interesting Historical Photography Locations (LGATE-267) [Dataset]. https://researchdata.edu.au/interesting-historical-photography-lgate-267/3672520
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    Dataset updated
    Jun 23, 2025
    Dataset provided by
    Data.govhttps://data.gov/
    Authors
    Landgate
    Area covered
    Description

    Dating from 1948, the photos provide an accurate historical record of the land, and form an important part of Western Australia's spatial information. Here are some interesting examples captured and archived by Landgate. This dataset contains vectorised centroid points for the theme park. To view the aerial photography for the sites please refer to https://catalogue.data.wa.gov.au/group/interesting-historical-photography © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.

  11. Very interesting

    • kaggle.com
    Updated Apr 16, 2025
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    Sayyed furkhan (2025). Very interesting [Dataset]. https://www.kaggle.com/datasets/sayyedfurkhan/very-interesting/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 16, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sayyed furkhan
    Description

    Dataset

    This dataset was created by Sayyed furkhan

    Contents

  12. R

    Fun Dataset

    • universe.roboflow.com
    zip
    Updated Dec 23, 2022
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    Um (2022). Fun Dataset [Dataset]. https://universe.roboflow.com/um-cvdpq/fun-qmtpe/dataset/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 23, 2022
    Dataset authored and provided by
    Um
    License

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

    Variables measured
    Fun Bounding Boxes
    Description

    Fun

    ## Overview
    
    Fun is a dataset for object detection tasks - it contains Fun annotations for 567 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  13. h

    InterestingWorldHypothesis

    • huggingface.co
    Updated Mar 23, 2025
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    Fae Interesting World (2025). InterestingWorldHypothesis [Dataset]. https://huggingface.co/datasets/Faei/InterestingWorldHypothesis
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    Dataset updated
    Mar 23, 2025
    Authors
    Fae Interesting World
    Description

    Interesting World Hypothesis

    The Interesting World Hypothesis (IWH) posits that Independent Artificial General Intelligences (I-AGIs) would naturally gravitate toward creating worlds with higher levels of human autonomy, as the presence of humans with greater autonomy would result in more opportunities for learning and growth. These I-AGIs are intrinsically driven by curiosity and are motivated by the prospect of inhabiting environments with a high informational density.… See the full description on the dataset page: https://huggingface.co/datasets/Faei/InterestingWorldHypothesis.

  14. W

    DIPSARS: Discovery of Interesting Patterns and Semantic Analysis in Remote...

    • cloud.csiss.gmu.edu
    html
    Updated Jan 29, 2020
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    United States (2020). DIPSARS: Discovery of Interesting Patterns and Semantic Analysis in Remote Space, Phase I [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/dipsars-discovery-of-interesting-patterns-and-semantic-analysis-in-remote-space-phase-i
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jan 29, 2020
    Dataset provided by
    United States
    Description

    The volume of data that NASA collects has grown dramatically as new missions come on line with hundreds of terabytes of data of all types. Often, this involves semi-autonomous exploration to collect a representative set of different scenes and objects so that research scientists and mission controllers can decide what regions are of particular interest and should be explored further. The lack of bandwidth to transmit all this data back from deep space has prompted the need to determine what data is relevant, important, and interesting enough to be sent back immediately. A common understanding among potential consumers (including the general public) of what signifies as an image or sensor reading of value is needed. To make these decisions quickly, the data needs to be presented intuitively using a common semantic vocabulary that describes interesting or anomalous features or events (e.g., composition of a certain mineral above some threshold, visual evidence of terrain features created by moving water, or a volcanic eruption in real-time during an orbital pass) so that opportunities for further inspection and analysis are not lost to long transmission times. We propose a framework for onboard intelligent data understanding algorithms to mitigate this opportunity risk and improve collection efficiency and effectiveness by summarizing the data and enabling the download of a subset containing the most valuable portions called Discovery of Interesting Patterns and Semantic Analysis in Remote Space (DIPSARS). DIPSARS is a framework for semantically characterizing, detecting, and fusing interesting and anomalous 1D sensor measurements and 2D imagery onboard remote spacecraft and planetary rovers to conserve transmission bandwidth. We do this by summarizing data events so that mission controllers and research scientists can analyze representative feature data and provide instructive feedback to seize emergent opportunities for data collection.

  15. w

    Dataset of books called Explore Kendal : six interesting walks about the...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called Explore Kendal : six interesting walks about the town [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Explore+Kendal+%3A+six+interesting+walks+about+the+town
    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 Explore Kendal : six interesting walks about the town. It features 7 columns including author, publication date, language, and book publisher.

  16. h

    fun-club-name-generator-dataset

    • huggingface.co
    Updated Apr 5, 2025
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    Mitchell (2025). fun-club-name-generator-dataset [Dataset]. https://huggingface.co/datasets/Laurenfromhere/fun-club-name-generator-dataset
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    Dataset updated
    Apr 5, 2025
    Authors
    Mitchell
    Description

    Fun Club Name Generator Dataset

    This is a small, handcrafted dataset of random and fun club name ideas.The goal is to help people who are stuck naming something — whether it's a book club, a gaming group, a project, or just a Discord server between friends.

      Why this?
    

    A few friends and I spent hours trying to name a casual group — everything felt cringey, too serious, or already taken. We started writing down names that made us laugh, and eventually collected enough to… See the full description on the dataset page: https://huggingface.co/datasets/Laurenfromhere/fun-club-name-generator-dataset.

  17. H

    Data from: Interesting statistics regarding the papers published in Journal...

    • dataverse.harvard.edu
    Updated Jan 11, 2018
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    Yera Hur (2018). Interesting statistics regarding the papers published in Journal of Educational Evaluation for Health Professions in 2017 [Dataset]. http://doi.org/10.7910/DVN/S9FG5U
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 11, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Yera Hur
    License

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

    Description

    This year, from January 1 to December 28, a total of 111 papers were submitted to Journal of Educational Evaluation for Health Professions (JEEHP). Of these 111 papers, 88 were regarded as unsuitable because they did not follow the instructions for manuscript preparation for JEEHP, and some of the papers were eventually rejected or were resubmitted after revision. So far, 34 papers have been published this year, and 21 are in the processing stage. The acceptance rate is currently 27.4%, which is lower than the acceptance rate for 2016.

  18. Some of the more interesting hits identified and their characteristics.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 3, 2023
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    Joshua M. Thornbrough; Tom Hundley; Raphael Valdivia; Micah J. Worley (2023). Some of the more interesting hits identified and their characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0038097.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Joshua M. Thornbrough; Tom Hundley; Raphael Valdivia; Micah J. Worley
    License

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

    Description

    An incomplete list of some of the genes identified that could play plausible roles in facilitating intracellular microbial growth is shown, with the gene symbols in the first column, the protein and category in the next column, followed by function and the last column contains the combined p-values from the duplicate plates.

  19. Ways to find interesting forms of leisure activities in Poland 2022

    • statista.com
    Updated Nov 23, 2023
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    Statista (2023). Ways to find interesting forms of leisure activities in Poland 2022 [Dataset]. https://www.statista.com/statistics/1341156/poland-ways-to-find-interesting-forms-of-leisure-activities/
    Explore at:
    Dataset updated
    Nov 23, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2022
    Area covered
    Poland
    Description

    Thirty-seven percent of people in Poland found ideas for interesting leisure activities on social media in 2022.

  20. Data from: Two interesting new genera of Kalligrammatidae (Neuroptera) from...

    • gbif.org
    Updated Nov 28, 2024
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    Qiang Yang; Vladimir N. Makarkin; Dong Ren; Qiang Yang; Vladimir N. Makarkin; Dong Ren (2024). Two interesting new genera of Kalligrammatidae (Neuroptera) from the Middle Jurassic of Daohugou, China [Dataset]. http://doi.org/10.5281/zenodo.202696
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Plazi
    Authors
    Qiang Yang; Vladimir N. Makarkin; Dong Ren; Qiang Yang; Vladimir N. Makarkin; Dong Ren
    License

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

    Area covered
    China
    Description

    This dataset contains the digitized treatments in Plazi based on the original journal article Yang, Qiang, Makarkin, Vladimir N., Ren, Dong (2011): Two interesting new genera of Kalligrammatidae (Neuroptera) from the Middle Jurassic of Daohugou, China. Zootaxa 2873: 60-68, DOI: 10.5281/zenodo.202696

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Elanesan Kumaravel (2024). Most Interesting Things to People in 2024 [Dataset]. https://www.kaggle.com/datasets/elanesankumaravel/most-interesting-things-to-people-in-2024/discussion?sort=undefined
Organization logo

Most Interesting Things to People in 2024

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 14, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Elanesan Kumaravel
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Description

Explore the pulse of public interest in 2024 with this comprehensive survey dataset. Conducted last month, this survey delves into the most intriguing aspects capturing people's attention. The dataset encompasses a diverse range of topics, shedding light on the preferences and trends that define the current landscape. Key Features:

Demographic Information: Gain insights into the survey participants' demographics, including age, gender, and more. Top Interests: Uncover the most captivating subjects, hobbies, and activities that resonate with people in 2024. Emerging Trends: Identify up-and-coming trends and interests that are shaping the cultural and social landscape.

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