11 datasets found
  1. f

    dataset for dating app use and TNSB.sav

    • figshare.com
    bin
    Updated Jan 16, 2024
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    Yao Yao (2024). dataset for dating app use and TNSB.sav [Dataset]. http://doi.org/10.6084/m9.figshare.25001390.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Jan 16, 2024
    Dataset provided by
    figshare
    Authors
    Yao Yao
    License

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

    Description

    This research conducted an online survey to investigate the relationship between dating app use and hookup intention. It measured dating app use, perceived descriptive norms, injunctive norms, fear of negative evaluation, hookup intention, and demographic information including age, gender, sexual orientation, and relationship status.

  2. f

    OKCupid Datasets

    • figshare.com
    bin
    Updated May 30, 2023
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    Spyder IDE (2023). OKCupid Datasets [Dataset]. http://doi.org/10.6084/m9.figshare.14987388.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    figshare
    Authors
    Spyder IDE
    License

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

    Description

    This is a public dataset called OKCupid, collected by Kirkegaard and Bjerrekaer. The dataset is composed of 68,371 records and 2,626 variables. It is shared for educational purposes. Formatted in Arrow Parquet.Description from the authors:"A very large dataset (N=68,371, 2,620 variables) from the dating site OKCupid is presented and made publicly available for use by others. As an example of the analyses one can do with the dataset, a cognitive ability test is constructed from 14 suitable items. To validate the dataset and the test, the relationship of cognitive ability to religious beliefs and political interest/participation is examined. Cognitive ability is found to be negatively related to all measures of religious belief (latent correlations -.26 to -.35), and found to be positively related to all measures of political interest and participation (latent correlations .19 to .32). To further validate the dataset, we examined the relationship between Zodiac sign and every other variable. We found very scant evidence of any influence (the distribution of p-values from chi square tests was flat). Limitations of the dataset are discussed."

  3. Archive: COVID-19 Vaccination Demographic Trends by Report Date, National

    • healthdata.gov
    • data.virginia.gov
    • +3more
    application/rdfxml +5
    Updated Nov 18, 2021
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    data.cdc.gov (2021). Archive: COVID-19 Vaccination Demographic Trends by Report Date, National [Dataset]. https://healthdata.gov/CDC/Archive-COVID-19-Vaccination-Demographic-Trends-by/h2yn-hkty
    Explore at:
    xml, json, tsv, csv, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Nov 18, 2021
    Dataset provided by
    data.cdc.gov
    Description

    This data dictionary provides information about archived demographic trend data for people receiving COVID-19 vaccinations in the United States at the national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.

    These data have been archived to provide historical demographic trend data for COVID-19 vaccine recipients prior to CDC converting the Vaccination Demographic Trends site to using data based on the date of vaccine administration. Previously, the Vaccination Demographic Trends site presented trend data by the date the vaccination was reported to CDC.

  4. Tinder: annual direct revenue 2015-2024

    • statista.com
    Updated Jun 2, 2025
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    Statista (2025). Tinder: annual direct revenue 2015-2024 [Dataset]. https://www.statista.com/statistics/1101990/tinder-global-direct-revenue/
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    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, Tinder's direct revenue amounted to *** billion U.S. dollars, an increase of around one percent from the previous year. Tinder is an online dating application that allows users to anonymously swipe to like or dislike other profiles based on photos. It is owned by the internet company Match Group, Inc.

  5. f

    Demographic information of participants.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 1, 2023
    + more versions
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    Edmond Pui-Hang Choi; Janet Yuen-Ha Wong; Herman Hay-Ming Lo; Wendy Wong; Jasmine Hin-Man Chio; Daniel Yee-Tak Fong (2023). Demographic information of participants. [Dataset]. http://doi.org/10.1371/journal.pone.0165394.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Edmond Pui-Hang Choi; Janet Yuen-Ha Wong; Herman Hay-Ming Lo; Wendy Wong; Jasmine Hin-Man Chio; Daniel Yee-Tak Fong
    License

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

    Description

    Demographic information of participants.

  6. w

    Dataset of books called Quantitative methods in law : studies in the...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called Quantitative methods in law : studies in the application of mathematical probability and statistics to legal problems [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Quantitative+methods+in+law+%3A+studies+in+the+application+of+mathematical+probability+and+statistics+to+legal+problems
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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 Quantitative methods in law : studies in the application of mathematical probability and statistics to legal problems. It features 7 columns including author, publication date, language, and book publisher.

  7. User base of Tinder India 2021, by age

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). User base of Tinder India 2021, by age [Dataset]. https://www.statista.com/forecasts/1269353/india-user-base-of-tinder-by-age
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    India
    Description

    As of September 2021, around ** percent of Tinder users in India were aged between 25 and 34 years and around ** percent of users were aged between 35 and 44 years. Tinder is the most popular dating app in India.

  8. f

    Anonymised dataset.

    • plos.figshare.com
    xlsx
    Updated May 8, 2025
    + more versions
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    Angelica Emery-Rhowbotham; Helen Killaspy; Sharon Eager; Brynmor Lloyd-Evans (2025). Anonymised dataset. [Dataset]. http://doi.org/10.1371/journal.pmen.0000184.s004
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    xlsxAvailable download formats
    Dataset updated
    May 8, 2025
    Dataset provided by
    PLOS Mental Health
    Authors
    Angelica Emery-Rhowbotham; Helen Killaspy; Sharon Eager; Brynmor Lloyd-Evans
    License

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

    Description

    Most people seek to establish romantic or intimate relationships in life, including people with mental health problems. However, this has been a neglected topic in mental health practice and research. This study aimed to investigate views of mental health and social care staff about the appropriateness of helping service users with romantic relationships, barriers to doing this, and suggestions for useful ways to support this. An online survey comprising both closed, multiple response and free-text questions was circulated to mental health organisations across the U.K. via social media, professional networks and use of snowballing sampling. A total of 63 responses were received. Quantitative data were analysed using descriptive statistics, and are reported as frequencies and percentages. Qualitative data were interpreted using thematic analysis, using an inductive approach. Although most participants reported that ‘finding a relationship’ conversations were appropriate in their job role, many barriers to supporting service users were identified, including: a lack of training; concerns about professional boundaries; concerns about service user capacity and vulnerability; and concerns about being intrusive. Participant suggestions for future support included educating service users on safe dating behaviours, and practical interventions such as assisting service users to use dating sites and engage with social activities to develop social skills and meet others. Staff were willing to help service users seek an intimate relationship but may need specific training or guidance to facilitate this confidently and safely. This study elucidates the need for further research in this area, particularly in understanding service user perspectives, and in developing resources to support staff in this work.

  9. d

    NFL Data (Historic Data Available) - Sports Data, National Football League...

    • datarade.ai
    Updated Sep 26, 2024
    + more versions
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    APISCRAPY (2024). NFL Data (Historic Data Available) - Sports Data, National Football League Datasets. Free Trial Available [Dataset]. https://datarade.ai/data-products/nfl-data-historic-data-available-sports-data-national-fo-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Sep 26, 2024
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Poland, Norway, Iceland, Italy, Lithuania, Malta, Bosnia and Herzegovina, Ireland, Portugal, China
    Description

    Our NFL Data product offers extensive access to historic and current National Football League statistics and results, available in multiple formats. Whether you're a sports analyst, data scientist, fantasy football enthusiast, or a developer building sports-related apps, this dataset provides everything you need to dive deep into NFL performance insights.

    Key Benefits:

    Comprehensive Coverage: Includes historic and real-time data on NFL stats, game results, team performance, player metrics, and more.

    Multiple Formats: Datasets are available in various formats (CSV, JSON, XML) for easy integration into your tools and applications.

    User-Friendly Access: Whether you are an advanced analyst or a beginner, you can easily access and manipulate data to suit your needs.

    Free Trial: Explore the full range of data with our free trial before committing, ensuring the product meets your expectations.

    Customizable: Filter and download only the data you need, tailored to specific seasons, teams, or players.

    API Access: Developers can integrate real-time NFL data into their apps with API support, allowing seamless updates and user engagement.

    Use Cases:

    Fantasy Football Players: Use the data to analyze player performance, helping to draft winning teams and make better game-day decisions.

    Sports Analysts: Dive deep into historical and current NFL stats for research, articles, and game predictions.

    Developers: Build custom sports apps and dashboards by integrating NFL data directly through API access.

    Betting & Prediction Models: Use data to create accurate predictions for NFL games, helping sportsbooks and bettors alike.

    Media Outlets: Enhance game previews, post-game analysis, and highlight reels with accurate, detailed NFL stats.

    Our NFL Data product ensures you have the most reliable, up-to-date information to drive your projects, whether it's enhancing user experiences, creating predictive models, or simply enjoying in-depth football analysis.

  10. d

    Planning Application Boundaries - Roscommon

    • datasalsa.com
    Updated Apr 24, 2025
    + more versions
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    Roscommon County Council (2025). Planning Application Boundaries - Roscommon [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=planning-application-boundaries-roscommon6
    Explore at:
    csv, gpkg, xlsx, zip, geojson, gdb, html, kml, arcgis geoservices rest api, txtAvailable download formats
    Dataset updated
    Apr 24, 2025
    Dataset authored and provided by
    Roscommon County Council
    License

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

    Time period covered
    Apr 24, 2025
    Area covered
    Roscommon
    Description

    Planning Application Boundaries - Roscommon. Published by Roscommon County Council. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Planning Applications lodged with Roscommon County Council since 2010. Dataset Publisher: Roscommon County Council, Dataset language: English, Spatial Projection: Web Mercator, Update Frequency: DailyField Descriptions: County: Planning Reference Number, PlanningAuthority: Roscommon County Council,ApplicationNumber: Planning Reference Number,ReceivedDate: Date Application Received,ApplicationType: Application Type,ApplicationStatus: Current Status of Application,Location: Address of proposed development, Description: Application description (limited to 254 characters), Decision: Decision made,DecisionDate: Decision made date, DecisionDueDate: Date decision due, WithdrawnDate: Date Application witrhdrawn,GrantDate: Date Application granted,ExpiryDate: Date Application Expires,AppealSubmittedDate: Date Appeal submitted (if appealed),AppealRefNum: Appeal reference number (if appealed),AppealDecision: Application Appealed decision (if appealed), AppealDecisionDate: Application Appealed decision date (if appealed), ITMEasting: ITM Easting Coordinate,ITMNorthing: ITM Northing CoordinateMoreInfo: Link to further informationRoscommon County Council provides this information with the understanding that it is not guaranteed to be accurate, correct or complete. Roscommon County Council accepts no liability for any loss or damage suffered by those using this data for any purpose....

  11. Price Paid Data

    • gov.uk
    Updated Jul 28, 2025
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    HM Land Registry (2025). Price Paid Data [Dataset]. https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads
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    Dataset updated
    Jul 28, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Description

    Our Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.

    Get up to date with the permitted use of our Price Paid Data:
    check what to consider when using or publishing our Price Paid Data

    Using or publishing our Price Paid Data

    If you use or publish our Price Paid Data, you must add the following attribution statement:

    Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.

    Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/" class="govuk-link">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.

    Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.

    Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:

    • for personal and/or non-commercial use
    • to display for the purpose of providing residential property price information services

    If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.

    Address data

    The following fields comprise the address data included in Price Paid Data:

    • Postcode
    • PAON Primary Addressable Object Name (typically the house number or name)
    • SAON Secondary Addressable Object Name – if there is a sub-building, for example, the building is divided into flats, there will be a SAON
    • Street
    • Locality
    • Town/City
    • District
    • County

    June 2025 data (current month)

    The June 2025 release includes:

    • the first release of data for June 2025 (transactions received from the first to the last day of the month)
    • updates to earlier data releases
    • Standard Price Paid Data (SPPD) and Additional Price Paid Data (APPD) transactions

    As we will be adding to the June data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    Google Chrome (Chrome 88 onwards) is blocking downloads of our Price Paid Data. Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.

    We update the data on the 20th working day of each month. You can download the:

    Single file

    These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    The data is updated monthly and the average size of this file is 3.7 GB, you can download:

    • <a

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

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Yao Yao (2024). dataset for dating app use and TNSB.sav [Dataset]. http://doi.org/10.6084/m9.figshare.25001390.v1

dataset for dating app use and TNSB.sav

Explore at:
binAvailable download formats
Dataset updated
Jan 16, 2024
Dataset provided by
figshare
Authors
Yao Yao
License

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

Description

This research conducted an online survey to investigate the relationship between dating app use and hookup intention. It measured dating app use, perceived descriptive norms, injunctive norms, fear of negative evaluation, hookup intention, and demographic information including age, gender, sexual orientation, and relationship status.

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