44 datasets found
  1. B

    Google Data Search Exercises

    • borealisdata.ca
    • search.dataone.org
    Updated Aug 26, 2024
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    Julie Marcoux (2024). Google Data Search Exercises [Dataset]. http://doi.org/10.5683/SP3/MW7BKH
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 26, 2024
    Dataset provided by
    Borealis
    Authors
    Julie Marcoux
    License

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

    Description

    Google data search exercises can be used to practice finding data or statistics on a topic of interest, including using Google's own internal tools and by using advanced operators.

  2. Google Data Analytics

    • kaggle.com
    zip
    Updated Sep 11, 2021
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    Vipul Acholia (2021). Google Data Analytics [Dataset]. https://www.kaggle.com/vipulacholia/google-data-analytics
    Explore at:
    zip(172980232 bytes)Available download formats
    Dataset updated
    Sep 11, 2021
    Authors
    Vipul Acholia
    Description

    Dataset

    This dataset was created by Vipul Acholia

    Contents

    It contains the following files:

  3. Google SERP Data, Web Search Data, Google Images Data | Real-Time API

    • datarade.ai
    .json, .csv
    Updated Jul 7, 2024
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    OpenWeb Ninja (2024). Google SERP Data, Web Search Data, Google Images Data | Real-Time API [Dataset]. https://datarade.ai/data-products/openweb-ninja-google-data-google-image-data-google-serp-d-openweb-ninja
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Jul 7, 2024
    Dataset authored and provided by
    OpenWeb Ninja
    Area covered
    Panama, Virgin Islands (U.S.), Uruguay, Tokelau, Barbados, South Georgia and the South Sandwich Islands, Burundi, Uganda, Grenada, Ireland
    Description

    OpenWeb Ninja's Google Images Data (Google SERP Data) API provides real-time image search capabilities for images sourced from all public sources on the web.

    The API enables you to search and access more than 100 billion images from across the web including advanced filtering capabilities as supported by Google Advanced Image Search. The API provides Google Images Data (Google SERP Data) including details such as image URL, title, size information, thumbnail, source information, and more data points. The API supports advanced filtering and options such as file type, image color, usage rights, creation time, and more. In addition, any Advanced Google Search operators can be used with the API.

    OpenWeb Ninja's Google Images Data & Google SERP Data API common use cases:

    • Creative Media Production: Enhance digital content with a vast array of real-time images, ensuring engaging and brand-aligned visuals for blogs, social media, and advertising.

    • AI Model Enhancement: Train and refine AI models with diverse, annotated images, improving object recognition and image classification accuracy.

    • Trend Analysis: Identify emerging market trends and consumer preferences through real-time visual data, enabling proactive business decisions.

    • Innovative Product Design: Inspire product innovation by exploring current design trends and competitor products, ensuring market-relevant offerings.

    • Advanced Search Optimization: Improve search engines and applications with enriched image datasets, providing users with accurate, relevant, and visually appealing search results.

    OpenWeb Ninja's Annotated Imagery Data & Google SERP Data Stats & Capabilities:

    • 100B+ Images: Access an extensive database of over 100 billion images.

    • Images Data from all Public Sources (Google SERP Data): Benefit from a comprehensive aggregation of image data from various public websites, ensuring a wide range of sources and perspectives.

    • Extensive Search and Filtering Capabilities: Utilize advanced search operators and filters to refine image searches by file type, color, usage rights, creation time, and more, making it easy to find exactly what you need.

    • Rich Data Points: Each image comes with more than 10 data points, including URL, title (annotation), size information, thumbnail, and source information, providing a detailed context for each image.

  4. d

    Tutorial: How to use Google Data Studio and ArcGIS Online to create an...

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Apr 15, 2022
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    Sarah Beganskas (2022). Tutorial: How to use Google Data Studio and ArcGIS Online to create an interactive data portal [Dataset]. http://doi.org/10.4211/hs.9edae0ef99224e0b85303c6d45797d56
    Explore at:
    Dataset updated
    Apr 15, 2022
    Dataset provided by
    Hydroshare
    Authors
    Sarah Beganskas
    Description

    This tutorial will teach you how to take time-series data from many field sites and create a shareable online map, where clicking on a field location brings you to a page with interactive graph(s).

    The tutorial can be completed with a sample dataset (provided via a Google Drive link within the document) or with your own time-series data from multiple field sites.

    Part 1 covers how to make interactive graphs in Google Data Studio and Part 2 covers how to link data pages to an interactive map with ArcGIS Online. The tutorial will take 1-2 hours to complete.

    An example interactive map and data portal can be found at: https://temple.maps.arcgis.com/apps/View/index.html?appid=a259e4ec88c94ddfbf3528dc8a5d77e8

  5. Google Data Analytics Capstone

    • kaggle.com
    Updated Sep 1, 2022
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    Husain Unwala (2022). Google Data Analytics Capstone [Dataset]. https://www.kaggle.com/datasets/husainunwala/google-data-analytics-capstone
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 1, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Husain Unwala
    Description

    Dataset

    This dataset was created by Husain Unwala

    Contents

  6. H

    Google Data Studio

    • hydroshare.org
    • beta.hydroshare.org
    zip
    Updated May 1, 2022
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    Robert Sarnoski (2022). Google Data Studio [Dataset]. https://www.hydroshare.org/resource/130e12edf54b4472bcaca82e0a44c9b1
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    May 1, 2022
    Dataset provided by
    HydroShare
    Authors
    Robert Sarnoski
    License

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

    Area covered
    Description

    Google Data Studio report for water quality data collected on Stillwater Run.

  7. Google user data requests from federal agencies and governments H1 2024, by...

    • statista.com
    Updated Feb 10, 2025
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    Statista (2025). Google user data requests from federal agencies and governments H1 2024, by country [Dataset]. https://www.statista.com/statistics/273501/global-data-requests-from-google-by-federal-agencies-and-governments/
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    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the first half of 2024, Google received over 82,000 requests for disclosure of user information from the U.S. federal agencies and other government entities. The Indian government ranked second by the number of requests about user information disclosure sent to Google, followed by Germany.

  8. COVID-19 Community Mobility Reports

    • google.com
    • google.com.tr
    • +5more
    csv, pdf
    Updated Oct 17, 2022
    + more versions
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    Google (2022). COVID-19 Community Mobility Reports [Dataset]. https://www.google.com/covid19/mobility/
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Oct 17, 2022
    Dataset provided by
    Googlehttp://google.com/
    Google Searchhttp://google.com/
    Authors
    Google
    Description

    As global communities responded to COVID-19, we heard from public health officials that the same type of aggregated, anonymized insights we use in products such as Google Maps would be helpful as they made critical decisions to combat COVID-19. These Community Mobility Reports aimed to provide insights into what changed in response to policies aimed at combating COVID-19. The reports charted movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

  9. Google_marketshare.xlsx

    • figshare.com
    xlsx
    Updated May 18, 2021
    + more versions
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    Matheus Lotto (2021). Google_marketshare.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.14614566.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 18, 2021
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Matheus Lotto
    License

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

    Description

    Raw Data of manuscript: "Social isolation intensified the interests in toothache-related digital information during the COVID-19 pandemic"

  10. Google-data-analyst-case-study-by-Pardeep-Sharma

    • kaggle.com
    Updated Jan 10, 2023
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    Deepe98 (2023). Google-data-analyst-case-study-by-Pardeep-Sharma [Dataset]. https://www.kaggle.com/datasets/deepe98/google-data-analyst-case-study-by-pardeep-sharma/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 10, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Deepe98
    Description

    Dataset

    This dataset was created by Deepe98

    Contents

  11. Z

    Immigration Trends Using Google Data

    • data.niaid.nih.gov
    Updated Jul 18, 2024
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    Wanner, Philippe (2024). Immigration Trends Using Google Data [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_5046403
    Explore at:
    Dataset updated
    Jul 18, 2024
    Dataset authored and provided by
    Wanner, Philippe
    License

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

    Description

    For a country to efficiently monitor international migration, quick access to information on migration flows is helpful. However, traditional data sources fail to provide immediate information on migration flows and do not facilitate the correct anticipation of these flows in the short term. To tackle this issue, this paper evaluates the predictive capacity of big data to estimate the current level or to predict short-term flows. The results show that Google Trends can provide information that reflects the attractiveness of Switzerland for to immigrants from different countries and predict, to some extent, current and future (short-term) migration flows of adults arriving from Spain or Italy. However, the predictions appear not to be satisfactory for other flows (from France and Germany). Additional studies based on alternative approaches are needed to validate or overturn our study results.

    Data and codebook along DDI standard

  12. Google water withdrawals 2023, by data center

    • statista.com
    Updated Oct 24, 2024
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    Statista (2024). Google water withdrawals 2023, by data center [Dataset]. https://www.statista.com/statistics/1498226/google-water-withdrawals-worldwide-by-data-center/
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    Dataset updated
    Oct 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, Google’s data centers accounted for over 7.6 billion gallons of water withdrawals. Council Bluffs, in Iowa, accounted for the largest share, with around 1.3 billions gallons. Mayes County, Oklahoma, ranked second, also with more than one billion gallons' worth of withdrawals. Water in data centers is mainly used for cooling.

  13. Divvy dataset - Google Data Analysis Certificate

    • kaggle.com
    Updated Apr 17, 2024
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    Raí Santos (2024). Divvy dataset - Google Data Analysis Certificate [Dataset]. https://www.kaggle.com/datasets/raisantosdev/divvy-dataset-google-data-analysis-certificate/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 17, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Raí Santos
    Description

    Dataset

    This dataset was created by Raí Santos

    Contents

  14. 1st-Project_Bike_share_capstone

    • kaggle.com
    Updated Aug 22, 2022
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    Eloy (2022). 1st-Project_Bike_share_capstone [Dataset]. https://www.kaggle.com/elben13/1stproject-bike-share-capstone/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 22, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Eloy
    Description

    Dataset

    This dataset was created by Eloy

    Contents

  15. f

    Comparisons of different xHier-Hybrid architectures with flyweel or CAES as...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Mengshu Sun; Yuankun Xue; Paul Bogdan; Jian Tang; Yanzhi Wang; Xue Lin (2023). Comparisons of different xHier-Hybrid architectures with flyweel or CAES as secondary ESD at the data center-level, based on the optimal Hier-Homo architecture. [Dataset]. http://doi.org/10.1371/journal.pone.0191450.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mengshu Sun; Yuankun Xue; Paul Bogdan; Jian Tang; Yanzhi Wang; Xue Lin
    License

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

    Description

    Comparisons of different xHier-Hybrid architectures with flyweel or CAES as secondary ESD at the data center-level, based on the optimal Hier-Homo architecture.

  16. i

    Nvidia's Rise in AI: Financial Gains and Environmental Challenges - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
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    IndexBox Inc. (2025). Nvidia's Rise in AI: Financial Gains and Environmental Challenges - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/nvidias-ai-dominance-financial-success-vs-environmental-concerns/
    Explore at:
    xls, doc, xlsx, docx, pdfAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jun 1, 2025
    Area covered
    World
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    Nvidia's dominance in the AI chip market promises financial success but raises environmental concerns due to soaring electricity demands.

  17. Summary of key characteristics of ESDs.

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Mengshu Sun; Yuankun Xue; Paul Bogdan; Jian Tang; Yanzhi Wang; Xue Lin (2023). Summary of key characteristics of ESDs. [Dataset]. http://doi.org/10.1371/journal.pone.0191450.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mengshu Sun; Yuankun Xue; Paul Bogdan; Jian Tang; Yanzhi Wang; Xue Lin
    License

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

    Description

    Summary of key characteristics of ESDs.

  18. Google Data Analytics Certificate Capstone Data

    • kaggle.com
    Updated Mar 25, 2023
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    Phil Poccia (2023). Google Data Analytics Certificate Capstone Data [Dataset]. https://www.kaggle.com/datasets/philpoccia/google-data-analytics-certificate-capstone-data/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 25, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Phil Poccia
    Description

    Dataset

    This dataset was created by Phil Poccia

    Contents

  19. Cyclistic Case Study

    • kaggle.com
    zip
    Updated May 1, 2021
    + more versions
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    Riley Sackett (2021). Cyclistic Case Study [Dataset]. https://www.kaggle.com/rileysackett/cyclistic-case-study
    Explore at:
    zip(151209059 bytes)Available download formats
    Dataset updated
    May 1, 2021
    Authors
    Riley Sackett
    Description

    Dataset

    This dataset was created by Riley Sackett

    Contents

    It contains the following files:

  20. f

    Comparisons of Hier-Homo architectures with different ESD type combinations....

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Mengshu Sun; Yuankun Xue; Paul Bogdan; Jian Tang; Yanzhi Wang; Xue Lin (2023). Comparisons of Hier-Homo architectures with different ESD type combinations. [Dataset]. http://doi.org/10.1371/journal.pone.0191450.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mengshu Sun; Yuankun Xue; Paul Bogdan; Jian Tang; Yanzhi Wang; Xue Lin
    License

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

    Description

    Comparisons of Hier-Homo architectures with different ESD type combinations.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Julie Marcoux (2024). Google Data Search Exercises [Dataset]. http://doi.org/10.5683/SP3/MW7BKH

Google Data Search Exercises

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 26, 2024
Dataset provided by
Borealis
Authors
Julie Marcoux
License

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

Description

Google data search exercises can be used to practice finding data or statistics on a topic of interest, including using Google's own internal tools and by using advanced operators.

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