100+ datasets found
  1. r

    mock data

    • redivis.com
    Updated Aug 4, 2021
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    CUIT Sandbox (2021). mock data [Dataset]. https://redivis.com/datasets/1qsn-att9ajb16
    Explore at:
    Dataset updated
    Aug 4, 2021
    Dataset authored and provided by
    CUIT Sandbox
    Description

    data generated from https://www.mockaroo.com/

    The table mock data is part of the dataset A Restricted Dataset, available at https://redivis.com/datasets/1qsn-att9ajb16. It contains 1000 rows across 6 variables.

  2. R

    Openimagev7 Mock Dataset

    • universe.roboflow.com
    zip
    Updated Feb 13, 2025
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    livesens (2025). Openimagev7 Mock Dataset [Dataset]. https://universe.roboflow.com/livesens/openimagev7-mock
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    livesens
    License

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

    Variables measured
    Censor Bounding Boxes
    Description

    OpenImageV7 Mock

    ## Overview
    
    OpenImageV7 Mock is a dataset for object detection tasks - it contains Censor annotations for 9,987 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).
    
  3. mock dataset

    • kaggle.com
    Updated Apr 8, 2020
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    Abhishek Sharma (2020). mock dataset [Dataset]. https://www.kaggle.com/aks19900/aksdgb/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 8, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Abhishek Sharma
    Description

    Dataset

    This dataset was created by Abhishek Sharma

    Contents

  4. h

    mock

    • huggingface.co
    Updated May 28, 2025
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    a (2025). mock [Dataset]. https://huggingface.co/datasets/Ankeyta/mock
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    Dataset updated
    May 28, 2025
    Authors
    a
    Description

    Ankeyta/mock dataset hosted on Hugging Face and contributed by the HF Datasets community

  5. Mock data

    • kaggle.com
    Updated Feb 2, 2021
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    Donnaya Wangwongwatana (2021). Mock data [Dataset]. https://www.kaggle.com/datasets/donnayaplai/mock-data/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 2, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Donnaya Wangwongwatana
    Description

    Dataset

    This dataset was created by Donnaya Wangwongwatana

    Contents

  6. Mock DataSet

    • kaggle.com
    Updated Sep 17, 2022
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    Olubunmi Fadeyi (2022). Mock DataSet [Dataset]. https://www.kaggle.com/datasets/olubunmifadeyi/mock-dataset/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 17, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Olubunmi Fadeyi
    License

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

    Description

    Dataset

    This dataset was created by Olubunmi Fadeyi

    Released under CC0: Public Domain

    Contents

    Just viewing for practical purposes

  7. A

    API Mocking Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 15, 2025
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    Data Insights Market (2025). API Mocking Software Report [Dataset]. https://www.datainsightsmarket.com/reports/api-mocking-software-495217
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The API mocking software market is experiencing robust growth, projected to reach $25.6 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 18.8% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing complexity of modern software development necessitates efficient testing methodologies, and API mocking provides a crucial solution by simulating backend APIs during development and testing phases, accelerating the development lifecycle and reducing costs associated with delays. The rise of microservices architecture further amplifies this demand, as independent services require thorough testing before integration. Furthermore, the growing adoption of cloud-based solutions offers scalability and accessibility, contributing significantly to market growth. The market is segmented by application (large enterprises and SMEs) and deployment type (cloud-based and on-premise), with cloud-based solutions gaining significant traction due to their inherent flexibility and cost-effectiveness. Competitive activity is vibrant, with numerous players offering diverse features and pricing models, catering to varying needs within the development ecosystem. Geographical distribution shows significant market presence in North America and Europe, reflecting high technology adoption rates and a mature software development landscape in these regions. However, emerging economies in Asia-Pacific are also showing promising growth potential, driven by increasing digitalization and investment in software development capabilities. Continued growth in the API mocking software market is anticipated through 2033, driven by several factors. The increasing adoption of DevOps methodologies and the demand for faster release cycles necessitates robust testing solutions like API mocking. This trend will be further bolstered by innovations in the field, such as improved integration with CI/CD pipelines and the emergence of more sophisticated mocking tools capable of handling complex API interactions. While the on-premise segment will continue to exist, cloud-based solutions are expected to dominate the market due to their inherent advantages. The market's competitive landscape will remain dynamic, with ongoing innovation and potential mergers and acquisitions influencing market share. Geographic expansion will likely focus on regions with burgeoning technology sectors and a growing demand for agile software development practices. The overall outlook suggests a bright future for the API mocking software market, promising sustained growth and significant market expansion over the forecast period.

  8. g

    MOCK Qualtrics dataset

    • rubenarslan.github.io
    • cran.r-universe.dev
    • +1more
    Updated Aug 1, 2018
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    Ruben Arslan (2018). MOCK Qualtrics dataset [Dataset]. http://doi.org/10.5281/zenodo.1326520
    Explore at:
    Dataset updated
    Aug 1, 2018
    Dataset provided by
    MPI Human Development, Berlin
    Authors
    Ruben Arslan
    Time period covered
    2018
    Area covered
    Nowhere
    Variables measured
    Q7, Q10, ResponseSet
    Description

    a MOCK dataset used to show how to import Qualtrics metadata into the codebook R package

    Table of variables

    This table contains variable names, labels, and number of missing values. See the complete codebook for more.

    namelabeln_missing
    ResponseSetNA0
    Q7NA0
    Q10NA0

    Note

    This dataset was automatically described using the codebook R package (version 0.9.5).

  9. mock data

    • kaggle.com
    Updated Jul 20, 2021
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    Faith Omotayo (2021). mock data [Dataset]. https://www.kaggle.com/theaomotayo/mock-data/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 20, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Faith Omotayo
    Description

    Dataset

    This dataset was created by Faith Omotayo

    Contents

  10. R

    For Mock Defense Dataset

    • universe.roboflow.com
    zip
    Updated Apr 9, 2025
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    Download and Delete (2025). For Mock Defense Dataset [Dataset]. https://universe.roboflow.com/download-and-delete/for-mock-defense
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Download and Delete
    License

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

    Variables measured
    Objects WOtT Bounding Boxes
    Description

    FOR MOCK DEFENSE

    ## Overview
    
    FOR MOCK DEFENSE is a dataset for object detection tasks - it contains Objects WOtT annotations for 20,001 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).
    
  11. Mock data for a variant calling exercise

    • zenodo.org
    application/gzip
    Updated Apr 5, 2021
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    Manu Tamminen; Manu Tamminen (2021). Mock data for a variant calling exercise [Dataset]. http://doi.org/10.5281/zenodo.4662575
    Explore at:
    application/gzipAvailable download formats
    Dataset updated
    Apr 5, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Manu Tamminen; Manu Tamminen
    License

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

    Description
  12. p

    Nichols-mock Elementary School

    • publicschoolreview.com
    json, xml
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    Public School Review, Nichols-mock Elementary School [Dataset]. https://www.publicschoolreview.com/nichols-mock-elementary-school-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset authored and provided by
    Public School Review
    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, 2025 - Dec 31, 2025
    Description

    Historical Dataset of Nichols-mock Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Distribution of Students By Grade Trends

  13. mock data

    • kaggle.com
    Updated Sep 3, 2022
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    Aman ullah (2022). mock data [Dataset]. https://www.kaggle.com/datasets/amanullah22/mock-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 3, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aman ullah
    Description

    Dataset

    This dataset was created by Aman ullah

    Contents

  14. p

    Trends in Total Students (1999-2023): Drs Reed - Mock Elementary School

    • publicschoolreview.com
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    Public School Review, Trends in Total Students (1999-2023): Drs Reed - Mock Elementary School [Dataset]. https://www.publicschoolreview.com/drs-reed-mock-elementary-school-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual total students amount from 1999 to 2023 for Drs Reed - Mock Elementary School

  15. h

    legacy-mock-corpus

    • huggingface.co
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    Carl Ji, legacy-mock-corpus [Dataset]. https://huggingface.co/datasets/jixy2012/legacy-mock-corpus
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Carl Ji
    Description

    jixy2012/legacy-mock-corpus dataset hosted on Hugging Face and contributed by the HF Datasets community

  16. Minimal viral mock communities

    • figshare.com
    txt
    Updated Jun 28, 2024
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    Ekaterina Avershina; Einar Elvbakken Birkeland; Torbjørn Rognes; Paula Istvan; Trine Ballestad Rounge (2024). Minimal viral mock communities [Dataset]. http://doi.org/10.6084/m9.figshare.26117944.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 28, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Ekaterina Avershina; Einar Elvbakken Birkeland; Torbjørn Rognes; Paula Istvan; Trine Ballestad Rounge
    License

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

    Description

    Minimal viral mock community metagenomes used as a test set for VirMake. VC1, VC2, VC3 each contain only 3 phages, and each share viral genomes with the other communities. List of viral genomes included in each dataset is provided in the communities.tsv description file.

  17. o

    Mock Road Cross Street Data in Berlin Center, OH

    • ownerly.com
    Updated Dec 9, 2021
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    Ownerly (2021). Mock Road Cross Street Data in Berlin Center, OH [Dataset]. https://www.ownerly.com/oh/berlin-center/mock-rd-home-details
    Explore at:
    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Berlin Center, Ohio, Mock Road
    Description

    This dataset provides information about the number of properties, residents, and average property values for Mock Road cross streets in Berlin Center, OH.

  18. R

    Baby Mock Sat Dataset

    • universe.roboflow.com
    zip
    Updated Mar 30, 2025
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    LASRRoboFlow (2025). Baby Mock Sat Dataset [Dataset]. https://universe.roboflow.com/lasrroboflow-mab3z/baby-mock-sat/model/10
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 30, 2025
    Dataset authored and provided by
    LASRRoboFlow
    License

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

    Variables measured
    Satellite Bounding Boxes
    Description

    Baby Mock Sat

    ## Overview
    
    Baby Mock Sat is a dataset for object detection tasks - it contains Satellite annotations for 226 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).
    
  19. h

    mnli-mock-contrastive-axes

    • huggingface.co
    Updated Feb 9, 2024
    + more versions
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    Milo Cress (2024). mnli-mock-contrastive-axes [Dataset]. https://huggingface.co/datasets/iamroot/mnli-mock-contrastive-axes
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 9, 2024
    Authors
    Milo Cress
    Description

    Dataset Card for "mnli-mock-contrastive-axes"

    More Information needed

  20. Medical Mock Survey Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 4, 2024
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    Dataintelo (2024). Medical Mock Survey Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/medical-mock-survey-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 4, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Medical Mock Survey Market Outlook



    The global medical mock survey market size is estimated at USD 2.5 billion in 2023 and is projected to reach USD 5.2 billion by 2032, growing at a CAGR of 8.4% during the forecast period. This significant market growth is driven by the increasing emphasis on quality healthcare services and the rising need for compliance with healthcare regulations and standards.



    One of the primary growth factors for the medical mock survey market is the ongoing demand for quality assurance in healthcare settings. Healthcare providers are under constant pressure to meet regulatory requirements and improve patient care standards. Mock surveys serve as a critical tool for identifying gaps in compliance and implementing corrective measures, thereby enhancing overall healthcare delivery. The heightened awareness among healthcare providers regarding the benefits of mock surveys is anticipated to drive market expansion.



    Technological advancements are another key driving force behind the market's growth. The advent of digital platforms and advanced analytics has revolutionized the way these surveys are conducted. Online and telephonic surveys are gaining popularity due to their convenience and efficiency. Moreover, the integration of artificial intelligence and machine learning in survey analysis provides deeper insights and more accurate assessments, further propelling market growth. The continuous evolution of these technologies promises an even more robust market in the coming years.



    The growing complexity of healthcare regulations also plays a pivotal role in the market's expansion. Governments and regulatory bodies across the globe are continually updating healthcare standards to ensure patient safety and improve service quality. Compliance with these ever-evolving standards is challenging for healthcare providers, making mock surveys an essential practice. These surveys help institutions stay ahead of regulatory changes and avoid penalties, thereby driving their adoption across various healthcare settings.



    From a regional perspective, North America dominates the medical mock survey market, owing to the stringent healthcare regulations and the high adoption rate of advanced healthcare technologies. However, significant growth is also expected in the Asia Pacific region, driven by the burgeoning healthcare sector and increasing investments in healthcare infrastructure. Regions like Europe and Latin America are also anticipated to witness steady growth due to rising healthcare awareness and regulatory reforms.



    Type Analysis



    In the medical mock survey market, the type segment is categorized into online surveys, paper-based surveys, and telephonic surveys. Online surveys hold a significant share due to their efficiency, cost-effectiveness, and ease of use. They enable real-time data collection and analysis, allowing healthcare providers to quickly identify and address compliance issues. The growing penetration of the internet and smartphones further supports the adoption of online surveys, making them a popular choice among healthcare institutions.



    Paper-based surveys, although traditional, still hold relevance in the market. They are particularly useful in regions with limited internet access or among populations that are less tech-savvy. These surveys provide a tangible format that can be easily distributed and collected, ensuring inclusivity. However, the manual effort required for data entry and analysis is a drawback, limiting their growth potential compared to online surveys.



    Telephonic surveys offer a middle ground by combining the personal touch of paper-based surveys with the convenience of digital platforms. They are especially effective in reaching out to patients and healthcare providers in remote areas where internet connectivity might be an issue. The ability to conduct interviews and get immediate feedback is a significant advantage, making telephonic surveys a valuable tool in the medical mock survey market.



    Moreover, the advancement in telecommunication technologies has enhanced the efficiency of telephonic surveys. Automated calling systems and voice recognition software have made it easier to conduct large-scale surveys, reducing the time and effort involved. This technological integration is expected to boost the adoption of telephonic surveys in the coming years, contributing to the overall growth of the market.



    Report Scope


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CUIT Sandbox (2021). mock data [Dataset]. https://redivis.com/datasets/1qsn-att9ajb16

mock data

Explore at:
Dataset updated
Aug 4, 2021
Dataset authored and provided by
CUIT Sandbox
Description

data generated from https://www.mockaroo.com/

The table mock data is part of the dataset A Restricted Dataset, available at https://redivis.com/datasets/1qsn-att9ajb16. It contains 1000 rows across 6 variables.

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