39 datasets found
  1. Survey on Digital Privacy and Data Security

    • kaggle.com
    zip
    Updated Apr 9, 2025
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    Saanvi Anup K (2025). Survey on Digital Privacy and Data Security [Dataset]. https://www.kaggle.com/datasets/san445/survey-on-digital-privacy-and-data-security
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    zip(89365 bytes)Available download formats
    Dataset updated
    Apr 9, 2025
    Authors
    Saanvi Anup K
    License

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

    Description

    The "Data Privacy form." file contains responses to a data privacy awareness survey. The sheet is titled "Data Privacy and Data Security." and includes the following key areas: Demographics: Age range, gender, and location. Device usage: Types of digital devices used daily (e.g., phone, computer, TV). Privacy concerns: Level of concern about online privacy and trust in online platforms. Personal data sensitivity: Types of personal information respondents are most concerned about. Digital habits: Frequency of: Using online platforms Reading privacy policies Updating devices Using antivirus or ad-blockers Perceived data security: Trust in tech companies and using public Wi-Fi. Experiences: History of data breaches or identity theft. Other habits: Screentime, use of online payment methods, concerns about hacking. The data is structured but includes some formatting issues—such as mismatched headers and misplaced values—which could be cleaned up for better analysis. Let me know if you want a cleaned-up version, summary statistics, or visualizations from this dataset.

  2. London Privacy Register - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Feb 22, 2024
    + more versions
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    ckan.publishing.service.gov.uk (2024). London Privacy Register - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/london-privacy-register
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    Dataset updated
    Feb 22, 2024
    Dataset provided by
    CKANhttps://ckan.org/
    Area covered
    London
    Description

    This dataset is a central catalogue of Data Protection Impact Assessments (DPIAs) of smart city projects that collect personal information in public spaces. By publishing this in one place for the first time, it will enable public transparency and support good practice among operators. A DPIA helps to identify and minimise the risks of a project that uses personal data. Further information: DPIA registration form: https://www.london.gov.uk/dpia-register-form Information Commissioner DPIA: https://ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/accountability-and-governance/data-protection-impact-assessments/

  3. Privacy Shield Lists of U.S. Companies

    • catalog.data.gov
    Updated Sep 30, 2025
    + more versions
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    International Trade Administration (2025). Privacy Shield Lists of U.S. Companies [Dataset]. https://catalog.data.gov/dataset/privacy-shield-lists-of-u-s-companies-822c6
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    Dataset updated
    Sep 30, 2025
    Dataset provided by
    International Trade Administrationhttp://trade.gov/
    Area covered
    United States
    Description

    The EU-U.S. and Swiss-U.S. Privacy Shield Frameworks are mechanisms that companies can use to comply with data protection requirements when transferring personal data from the European Union and Switzerland to the United States. ITA\'s Privacy Shield Team maintains two lists that are made available to the public: 1) the Privacy Shield Active List, and 2) the Privacy Shield Inactive List. The Active List is an authoritative list of U.S. organizations that have self-certified to the Department of Commerce and declared their commitment to adhere to the Privacy Shield Principles. The Inactive List is an authoritative list of U.S. organizations that are no longer self-certified under Privacy Shield and are therefore no longer assured of the benefits of using Privacy Shield to receive personal data from the European Union and/or Switzerland. Upon request, the Privacy Shield Team may provide a copy of the list in the form of an Excel spreadsheet.

  4. C

    WaH informed consent and image rights forms

    • dataverse.csuc.cat
    pdf, txt
    Updated Jul 12, 2023
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    Carme Montserrat; Carme Montserrat; Marta Garcia Molsosa; Marta Garcia Molsosa (2023). WaH informed consent and image rights forms [Dataset]. http://doi.org/10.34810/data506
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    txt(6449), pdf(801115), pdf(257580), pdf(190399), pdf(1087773), pdf(188251), pdf(737114), pdf(1087535), pdf(737011), pdf(1104027), pdf(1104399)Available download formats
    Dataset updated
    Jul 12, 2023
    Dataset provided by
    CORA.Repositori de Dades de Recerca
    Authors
    Carme Montserrat; Carme Montserrat; Marta Garcia Molsosa; Marta Garcia Molsosa
    License

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

    Dataset funded by
    https://ror.org/03zhx9h04
    Description

    This dataset includes the informed consent forms template used in the research projecte "WeAreHere!"(WaH) ["SomAquí!"] for children's questionnaire, for teachers' questionnaire and for advisory groups. Children under 14 years old doing the questionnaire or participating in the advisory groups needed also the consent of their parents (informed consent forms also included in this dataset). It also includes the image rights forms template for children under 14 years old and 14 and over. All the documents are in Catalan language, except the informed consent forms for parents, that have a Catalan and Spanish version. The informed consent forms have been designed according to the Organic Law 3/2018 on Data Protection and Guarantee of Digital Rights and the General Data Protection Regulation (GDPR) 2016/679 of the European Parliament and of the Council and have been approved by the Ethical Committee of the University of Girona (CEBRU0009-21).

  5. Forecast: Internet Users Who Did Not Submit Forms to Public Authorities...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Internet Users Who Did Not Submit Forms to Public Authorities Because of Personal Data Protection and Security Concerns in the Last 12 Months by Household Type in the Netherlands 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/e4a963b069d92ead71ef1a770210a6ce16ada79f
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    Netherlands
    Description

    Forecast: Internet Users Who Did Not Submit Forms to Public Authorities Because of Personal Data Protection and Security Concerns in the Last 12 Months by Household Type in the Netherlands 2022 - 2026 Discover more data with ReportLinker!

  6. International data protection requirements interviews

    • zenodo.org
    Updated Apr 9, 2025
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    Anonymous; Anonymous (2025). International data protection requirements interviews [Dataset]. http://doi.org/10.5281/zenodo.15183928
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    Dataset updated
    Apr 9, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Anonymous; Anonymous
    License

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

    Description

    This dataset comprises semi-structured interviews conducted with domain experts in data protection and privacy regulations from various jurisdictions. All interviewee have formal legal education or are recognized as experts in the domain (ex: data protection authority, known authors/speakers). The purpose of the interviews is to identify common and divergent data protection regulatory requirements that impact transborder personal data flows and compliance in multiple systems.

    The database includes transcripts of expert interviews that have been made publicly available, upon informed and explicit consent from the participants. By default, all interviews are anonymized to protect the identity of the participants and to reduce potential bias during analysis. Other interviews may be available upon request, and other are kept confidential depending on the participants consent.

    The files have been named in the following manner: [COUNTRY OF EXPERTISE]-[Random letters]. This way, when referring to the specific subject, we can identify them this way.

    Transcripts were done with AI models upon the consent of the subject. The section in bold represent the interviewer, and normal font is the interviewee. For more details on the transcription purpose, you can check here [unavailable for reviewing reasons]

    In addition we have included a detailed codebook used to support qualitative analysis. The codebook provides definitions for each code used. When new codes emerged, these were added to the codebook with appropriate annotation (ex: labelled as new), including a definition and possibly verbatims.

    The guiding semi-structured interview and blinded consent form are included.

    For more information, please refer to [unavailable for reviewing reasons]

  7. G

    Client-Side Key Management for Forms Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
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    Growth Market Reports (2025). Client-Side Key Management for Forms Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/client-side-key-management-for-forms-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Client-Side Key Management for Forms Market Outlook



    According to our latest research, the global Client-Side Key Management for Forms market size reached USD 1.14 billion in 2024, reflecting the growing significance of data privacy and regulatory compliance in digital transactions. The market is projected to grow at a robust CAGR of 16.7% over the forecast period, reaching USD 5.31 billion by 2033. This remarkable expansion is primarily fueled by the increasing adoption of cloud-based services, a surge in cyber threats targeting online forms, and stringent data protection mandates across industries. The demand for advanced security solutions that empower organizations to maintain control over encryption keys at the client side is becoming a critical aspect of enterprise IT strategies worldwide.




    One of the primary growth drivers for the Client-Side Key Management for Forms market is the escalating frequency and sophistication of cyberattacks targeting sensitive data captured through web and mobile forms. Organizations are increasingly aware that traditional server-side encryption methods are often insufficient to counteract modern threats such as man-in-the-middle attacks and data interception during form submission. The ability to manage encryption keys on the client side ensures that sensitive information remains encrypted throughout its lifecycle, significantly reducing the risk of data breaches. Furthermore, this approach aligns with emerging privacy-by-design principles, making it an attractive option for businesses seeking to enhance their security posture without compromising user experience or operational efficiency.




    Another significant factor propelling the market is the evolving regulatory landscape, particularly in sectors such as healthcare, BFSI, and government. Regulations like the General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), and the California Consumer Privacy Act (CCPA) mandate stringent controls over personal and sensitive data. Client-side key management enables organizations to demonstrate compliance by providing auditable control over encryption keys and ensuring that data remains protected even before it enters the organization’s backend infrastructure. This capability is especially critical for multinational enterprises that operate across jurisdictions with varying data sovereignty requirements, further driving the adoption of client-side encryption solutions for forms.




    The rapid digital transformation across industries, coupled with the proliferation of cloud-native applications and remote workforces, is also catalyzing market growth. As organizations migrate to cloud environments and embrace SaaS platforms, concerns over data residency and unauthorized access have intensified. Client-side key management addresses these concerns by allowing enterprises to retain exclusive control over encryption keys, regardless of the underlying cloud provider or service architecture. This flexibility is particularly valued by large enterprises and highly regulated sectors, which require granular control over data security policies. The integration of advanced cryptographic algorithms and seamless user experiences is further enhancing the value proposition of client-side key management solutions, paving the way for sustained market expansion.




    From a regional perspective, North America is expected to maintain its dominance in the Client-Side Key Management for Forms market throughout the forecast period, driven by the presence of leading technology providers, a mature cybersecurity ecosystem, and early adoption of innovative security solutions. However, Asia Pacific is anticipated to exhibit the highest growth rate, supported by rapid digitalization, increasing internet penetration, and a surge in cybercrime incidents. Europe, with its stringent data protection regulations and growing awareness among enterprises, is also poised for steady growth. Meanwhile, the Middle East & Africa and Latin America are witnessing gradual adoption, primarily led by multinational corporations and government initiatives aimed at enhancing data security infrastructure.



  8. Privacy Notice (CDEI Fairness Innovation Challenge Form)

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 14, 2023
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    Centre for Data Ethics and Innovation (2023). Privacy Notice (CDEI Fairness Innovation Challenge Form) [Dataset]. https://www.gov.uk/government/publications/privacy-notice-cdei-fairness-innovation-challenge-form
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    Dataset updated
    Jun 14, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Centre for Data Ethics and Innovation
    Description

    CDEI plans to run a Fairness Innovation Challenge to support the development of novel solutions to address bias and discrimination across the artificial intelligence (AI) lifecycle. The challenge also aims to provide greater clarity about which assurance tools and techniques can be applied to address and improve fairness in AI systems, and encourage the development of holistic approaches to bias detection and mitigation, that move beyond purely technical notions of fairness.

    As we finalise the design and scope of this challenge, the CDEI is now collecting use case submissions of specific fairness-related problems faced by organisations designing, developing, and/or deploying AI systems. This privacy notice explains who the CDEI are, the personal data the CDEI collects, how the CDEI uses it, who the CDEI shares it with, and what your legal rights are.

  9. D

    GDPR Compliance Solutions Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). GDPR Compliance Solutions Market Research Report 2033 [Dataset]. https://dataintelo.com/report/gdpr-compliance-solutions-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    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

    GDPR Compliance Solutions Market Outlook



    As per our latest research, the global GDPR Compliance Solutions market size reached USD 4.8 billion in 2024, reflecting the increasing prioritization of data privacy and regulatory adherence across industries. The market is projected to expand at a robust CAGR of 21.2% from 2025 to 2033, reaching a forecasted value of USD 32.4 billion by 2033. This impressive growth is primarily driven by the widespread enforcement of data protection regulations, rising consumer awareness regarding personal data rights, and the proliferation of digital transformation initiatives within organizations worldwide.




    A significant growth factor for the GDPR Compliance Solutions market is the intensifying regulatory landscape. The General Data Protection Regulation (GDPR) has set a global benchmark for data privacy, compelling organizations not only in Europe but across the globe to adopt stringent compliance measures. The threat of substantial financial penalties, reputational damage, and potential litigation has pushed enterprises to seek robust GDPR compliance solutions. Additionally, the evolving nature of data breaches and cyber threats necessitates continuous investment in sophisticated compliance tools that can adapt to new risks and regulatory updates. This regulatory pressure is especially pronounced in sectors like BFSI, healthcare, and IT, where sensitive data is a core asset, further accelerating the adoption of GDPR compliance solutions.




    Another key driver fueling the expansion of the GDPR Compliance Solutions market is the accelerated pace of digitalization and cloud adoption. As organizations increasingly digitize operations and migrate data to cloud environments, the complexity of managing personal data and ensuring compliance grows exponentially. GDPR compliance solutions, encompassing both software and services, offer integrated capabilities for data mapping, monitoring, consent management, and breach notification. These solutions enable businesses to efficiently manage large volumes of data while ensuring compliance with GDPR’s rigorous requirements. Furthermore, the rise of remote work and globalized business operations has heightened the demand for scalable, automated compliance tools that can be deployed across diverse IT environments, supporting organizations of all sizes in their compliance journey.




    Rising consumer awareness and expectations regarding data privacy also play a pivotal role in shaping the GDPR Compliance Solutions market. Modern consumers are increasingly vigilant about how their personal information is collected, processed, and stored. This heightened awareness has led to greater scrutiny of organizational data practices and a demand for transparency and accountability. In response, businesses are leveraging GDPR compliance solutions not only to avoid regulatory penalties but also to build trust and enhance brand reputation. By demonstrating a commitment to data protection, organizations can differentiate themselves in competitive markets, attract privacy-conscious customers, and foster long-term loyalty. This shift towards privacy-centric business models is expected to sustain market growth well into the forecast period.




    From a regional perspective, Europe continues to dominate the GDPR Compliance Solutions market, given its role as the originator of the regulation and the high level of regulatory enforcement within the region. However, North America and Asia Pacific are witnessing rapid growth, driven by the extraterritorial reach of GDPR and the emergence of similar data protection laws. Multinational organizations operating across borders are increasingly adopting GDPR compliance solutions to ensure uniform data protection standards and mitigate cross-jurisdictional risks. The global nature of digital commerce and data flows further underscores the importance of comprehensive compliance strategies, positioning GDPR compliance solutions as a critical enabler of international business operations.



    Component Analysis



    The GDPR Compliance Solutions market is broadly segmented by component into software and services, each playing a crucial role in enabling organizations to meet regulatory requirements. Software solutions form the backbone of GDPR compliance efforts, offering functionalities such as data discovery, classification, consent management, and automated reporting. These platforms are designed to integrate seamlessly with existing IT infrastructures, providing

  10. R

    Form Autofill Abuse Protection Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Research Intelo (2025). Form Autofill Abuse Protection Market Research Report 2033 [Dataset]. https://researchintelo.com/report/form-autofill-abuse-protection-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Research Intelo
    License

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

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Form Autofill Abuse Protection Market Outlook



    According to our latest research, the Global Form Autofill Abuse Protection market size was valued at $1.2 billion in 2024 and is projected to reach $4.3 billion by 2033, expanding at a robust CAGR of 15.8% during the forecast period of 2025–2033. The primary factor driving this impressive growth is the escalating sophistication of automated cyberattacks, particularly bot-driven fraud and credential stuffing incidents targeting digital forms across industries. As enterprises and organizations increasingly digitize their customer interactions, the need to protect sensitive data from malicious form autofill exploitation has become paramount, fueling demand for advanced form autofill abuse protection solutions globally.



    Regional Outlook



    North America currently holds the largest share of the global Form Autofill Abuse Protection market, accounting for approximately 38% of total revenue in 2024. This dominance is underpinned by the region’s mature cybersecurity landscape, high digital adoption rates, and stringent regulatory frameworks such as the California Consumer Privacy Act (CCPA) and Gramm-Leach-Bliley Act (GLBA). Leading technology companies and financial institutions in the United States and Canada have prioritized investments in form autofill abuse protection to mitigate risks associated with online transactions and user authentication processes. Furthermore, the presence of established cybersecurity vendors and a robust ecosystem of managed security service providers has accelerated the deployment of both on-premises and cloud-based solutions, reinforcing North America’s leadership in this market.



    The Asia Pacific region is forecasted to exhibit the fastest CAGR of 19.2% from 2025 to 2033, driven by rapid digital transformation initiatives, burgeoning e-commerce markets, and increasing cyberattack sophistication. Countries such as China, India, Japan, and South Korea are witnessing a surge in online financial services and digital healthcare platforms, making them prime targets for form autofill abuse. Governments and enterprises are ramping up investments in cybersecurity infrastructure, with a particular focus on AI-driven threat detection and real-time fraud prevention tools. The proliferation of smartphones and mobile applications in Asia Pacific further expands the attack surface, necessitating advanced protection measures and fostering market growth at an accelerated pace.



    Emerging economies in Latin America, the Middle East, and Africa are gradually increasing their adoption of form autofill abuse protection solutions, albeit at a slower pace compared to developed markets. Localized challenges such as limited cybersecurity awareness, budget constraints, and fragmented regulatory environments hinder widespread deployment. However, growing internet penetration, the expansion of digital banking, and the rise of regional e-commerce platforms are creating new opportunities for solution providers. Policy reforms and cross-border collaborations aimed at enhancing digital trust and data privacy are expected to stimulate market demand, even as these regions work to overcome infrastructural and educational gaps.



    Report Scope






    <t

    Attributes Details
    Report Title Form Autofill Abuse Protection Market Research Report 2033
    By Component Software, Services
    By Deployment Mode On-Premises, Cloud
    By Organization Size Small and Medium Enterprises, Large Enterprises
    By Application Banking and Financial Services, E-commerce, Healthcare, Government, IT and Telecom, Others
    By End-User Enterprises, Individuals
  11. Consent Form template for research in Residential Buildings

    • zenodo.org
    Updated Apr 11, 2025
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    Paul Moran; Paul Moran; Jamie Goggins; Jamie Goggins; McGinley Orlaith; Ciara Ahern; Ciara Ahern; Gerard Obasi; Gerard Obasi; Aimee Byrne; Aimee Byrne; McGinley Orlaith (2025). Consent Form template for research in Residential Buildings [Dataset]. http://doi.org/10.5281/zenodo.15198261
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Paul Moran; Paul Moran; Jamie Goggins; Jamie Goggins; McGinley Orlaith; Ciara Ahern; Ciara Ahern; Gerard Obasi; Gerard Obasi; Aimee Byrne; Aimee Byrne; McGinley Orlaith
    License

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

    Description

    This document is a customisable consent form template designed for researchers conducting studies in residential buildings. It facilitates informed consent from building owners or authorised representatives by clearly outlining the project description, purpose and type of data collection, data storage and retention, confidentiality and data sharing policies, and participants' rights, including voluntary participation and the right to withdraw. The form also includes contact information for questions or withdrawal and a section on participants’ rights under GDPR. In addition, it emphasises the potential for collected data to be reused in future research, supporting data reusability and repurposing. This maximises the utility of a single dataset by enabling it to support diverse research outcomes, while also reducing the environmental footprint associated with repeated data collection and processing. This template ensures ethical compliance, transparency, and sustainability in research involving residential properties.

    Disclaimer: This guide is meant to act as a template for commonality across projects and allow projects to share data in line with GDPR projection laws. However, the data controller who is using the template is responsible for the content of the consent form (not just the text in brackets), and how it is edited to suit their project and ensuring it is in line with GDPR data protection laws. Your consent form should get approval / sign off from the data protection officer of the data controller’s respective organisation.

  12. Data from: Forms of nature protection in Poland

    • kaggle.com
    zip
    Updated Feb 19, 2022
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    Julia (2022). Forms of nature protection in Poland [Dataset]. https://www.kaggle.com/juliastencel/forms-of-nature-protection-in-poland
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    zip(1284 bytes)Available download formats
    Dataset updated
    Feb 19, 2022
    Authors
    Julia
    Area covered
    Poland
    Description

    Simple data about areas covered by forms of nature protection over the years in Poland. The data does not include the 'Natura 2000' program. The data comes from the Central Statistical Office in Poland.

  13. d

    Yilan County Environmental Protection Bureau Application Form Download

    • data.gov.tw
    csv, json, xml
    Updated Jun 12, 2017
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    Environmental Protection Bureau of Yi-Lan County (2017). Yilan County Environmental Protection Bureau Application Form Download [Dataset]. https://data.gov.tw/en/datasets/42194
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    xml, csv, jsonAvailable download formats
    Dataset updated
    Jun 12, 2017
    Dataset authored and provided by
    Environmental Protection Bureau of Yi-Lan County
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Yilan County
    Description

    Provided by the Yilan County Environmental Protection Bureau, Yilan County Environmental Protection Bureau application form download data (CSV, XML, JSON format data)

  14. D

    Privacy‑Preserving Biometrics Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Privacy‑Preserving Biometrics Market Research Report 2033 [Dataset]. https://dataintelo.com/report/privacypreserving-biometrics-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    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

    Privacy‑Preserving Biometrics Market Outlook



    As per our latest research, the global privacy-preserving biometrics market size in 2024 stands at USD 2.3 billion, with a robust compound annual growth rate (CAGR) of 18.1% anticipated through the forecast period. This growth trajectory is expected to propel the market to reach approximately USD 11.9 billion by 2033. The market’s expansion is primarily fueled by the surging demand for advanced biometric security solutions that safeguard user privacy amidst escalating cyber threats and intensifying regulatory pressures worldwide.



    One of the most significant growth drivers for the privacy-preserving biometrics market is the increasing emphasis on data protection and privacy regulations globally. Legislation such as the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the United States, and other similar frameworks across Asia Pacific and Latin America have compelled organizations to adopt biometric systems that not only authenticate individuals securely but also ensure that sensitive biometric data is protected from misuse or unauthorized access. This regulatory landscape has accelerated the adoption of privacy-enhancing technologies such as homomorphic encryption, secure multi-party computation, and federated learning within biometric applications, thereby fostering market growth.



    Another crucial growth factor is the rising incidences of identity theft, data breaches, and sophisticated cyberattacks targeting biometric databases. As organizations across sectors such as banking, healthcare, government, and retail increasingly leverage biometrics for authentication, the risk of biometric data exploitation has become a critical concern. Privacy-preserving biometrics address these vulnerabilities by ensuring that raw biometric data is never exposed, stored, or transmitted in a form that can be reverse-engineered or compromised. This heightened focus on secure biometric modalities and advanced cryptographic techniques is driving the rapid integration of privacy-preserving solutions in both legacy and new biometric systems.



    Technological advancements and the proliferation of digital transformation across industries are also catalyzing market expansion. Innovations in artificial intelligence, machine learning, and edge computing have enabled the development of highly accurate, scalable, and privacy-centric biometric systems. These solutions facilitate seamless user experiences while maintaining stringent privacy standards. The increasing adoption of cloud-based biometric services, particularly among small and medium enterprises (SMEs), further amplifies market growth by providing cost-effective, scalable, and easily deployable privacy-preserving biometric solutions.



    From a regional perspective, North America currently leads the privacy-preserving biometrics market, driven by early technology adoption, stringent regulatory frameworks, and high investment in cybersecurity infrastructure. However, Asia Pacific is projected to exhibit the fastest growth over the forecast period, owing to rapid urbanization, increased digitalization, and government-led initiatives to enhance public safety and digital identity infrastructure. Europe remains a significant contributor, buoyed by strong regulatory compliance and robust demand from the BFSI and healthcare sectors. Meanwhile, emerging markets in Latin America and the Middle East & Africa are witnessing rising adoption rates, driven by increasing awareness of privacy risks and the need for secure authentication methods.



    Technology Analysis



    The technology landscape of the privacy-preserving biometrics market is characterized by rapid innovation and the integration of advanced cryptographic and privacy-enhancing tools. Homomorphic encryption is gaining substantial traction, enabling computations on encrypted biometric data without exposing the raw inputs, thereby maintaining data confidentiality throughout the authentication process. Secure multi-party computation allows multiple parties to collaboratively compute a function over their inputs while keeping those inputs private, a critical feature for distributed biometric systems in sectors such as finance and healthcare where data sharing is essential yet privacy-sensitive. Differential privacy offers mathematical guarantees that individual biometric data cannot be inferred from aggregate datasets, thus ensuring comp

  15. Privacy notice for family forms

    • gov.uk
    Updated Mar 5, 2021
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    HM Courts & Tribunals Service (2021). Privacy notice for family forms [Dataset]. https://www.gov.uk/government/publications/privacy-notice-for-family-forms
    Explore at:
    Dataset updated
    Mar 5, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Courts & Tribunals Service
    Description

    Family proceedings are cases where the court is asked to resolve an issue in relation to children. It also includes disputes between parties, such as divorce and financial remedies.

  16. D

    GDPR Data Deletion Automation Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). GDPR Data Deletion Automation Market Research Report 2033 [Dataset]. https://dataintelo.com/report/gdpr-data-deletion-automation-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    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

    GDPR Data Deletion Automation Market Outlook



    According to our latest research, the global GDPR Data Deletion Automation market size reached USD 1.32 billion in 2024, reflecting robust demand for automated compliance solutions amidst tightening data privacy regulations. The market is projected to expand at a remarkable CAGR of 21.6% from 2025 to 2033, ultimately reaching a forecasted value of USD 9.88 billion by 2033. This extraordinary growth is primarily driven by the increasing volume of personal data processed by organizations and the escalating enforcement of the General Data Protection Regulation (GDPR) across industries worldwide.




    A key growth factor fueling the GDPR Data Deletion Automation market is the escalating complexity and volume of data that organizations must manage, store, and, when necessary, delete in compliance with GDPR mandates. With the proliferation of digital transformation initiatives, enterprises are generating and collecting unprecedented amounts of personal and sensitive data. Manual data deletion processes have proven to be inefficient, error-prone, and costly, especially as organizations scale. Automated GDPR data deletion solutions address these challenges by streamlining the process, reducing the risk of non-compliance, and enabling organizations to respond quickly to data subject requests for erasure. This efficiency not only ensures regulatory adherence but also enhances operational productivity, making automation an indispensable investment for modern data-driven enterprises.




    Another significant driver for the GDPR Data Deletion Automation market is the increasing frequency and severity of regulatory penalties associated with GDPR non-compliance. Regulatory bodies across Europe and other GDPR-adopting regions have intensified their scrutiny, levying substantial fines for breaches and inadequate data management practices. The financial and reputational risks associated with non-compliance have compelled organizations to seek robust, scalable, and auditable solutions for managing data deletion. Automated tools offer features such as real-time audit trails, policy enforcement, and integration with diverse data repositories, thereby reducing the likelihood of compliance lapses. The heightened awareness of these risks and the tangible benefits of automation are accelerating the adoption of GDPR data deletion automation across sectors such as BFSI, healthcare, and retail.




    The rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies is also shaping the trajectory of the GDPR Data Deletion Automation market. AI-driven automation platforms are capable of intelligently identifying personal data across disparate systems, assessing its eligibility for deletion, and executing erasure requests in a manner compliant with GDPR requirements. These technological advancements are enabling organizations to manage complex data landscapes with greater accuracy and efficiency. Furthermore, the integration of automation with broader data governance and security frameworks is fostering a holistic approach to privacy compliance, which is increasingly demanded by both regulators and consumers. As AI and ML capabilities continue to evolve, their role in enhancing the effectiveness and scalability of GDPR data deletion automation solutions will become even more pronounced.




    Regionally, Europe remains the epicenter of the GDPR Data Deletion Automation market due to its early and stringent implementation of GDPR. However, North America and Asia Pacific are emerging as significant growth regions, driven by the adoption of GDPR-equivalent data privacy laws and the globalization of business operations. The increasing cross-border flow of data, coupled with rising consumer awareness of privacy rights, is prompting organizations in these regions to invest in automated compliance solutions. While Europe is expected to maintain its leadership in market share, North America is anticipated to exhibit the highest CAGR during the forecast period, reflecting the region’s proactive approach to data privacy and security.



    Component Analysis



    The Component segment of the GDPR Data Deletion Automation market is bifurcated into software and services, each playing a pivotal role in enabling organizations to achieve and maintain GDPR compliance. Software solutions form the backbone of this market, offering a comprehensive suite of tools designed to automate the identification, classificati

  17. Special Protection Areas (SPAs) bird data assemblages - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated May 26, 2016
    + more versions
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    ckan.publishing.service.gov.uk (2016). Special Protection Areas (SPAs) bird data assemblages - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/special-protection-areas-spas-bird-data-assemblages
    Explore at:
    Dataset updated
    May 26, 2016
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This dataset contains details for each and every bird assemblage on every Special Protection Area (SPA). Special Protection Areas (SPAs) are strictly protected sites classified in accordance with Article 4 of the EC Birds Directive, which came into force in April 1979. They are classified for rare and vulnerable birds (as listed on Annex I of the Directive), and for regularly occurring migratory species. The EU Commission requires information on each site to be compiled in the form of a Standard Data Form. This dataset is updated every time a new or amended batch of information is submitted to the EU Commission. This dataset contains information drawn from section 3.3 of the Standard Data Form (other important species) and also repeated in free text form in the quality and importance section (section 4.2). This dataset is only applicable to December 2015 onwards - prior to that date the bird assemblage data was integrated with the other bird data (see Special Protection Areas bird data submitted to the EU). From December 2015 onwards this included the following fields SITE_CODE DESIGNATION_TYPE_CODE (always SPA) SITE_NAME COUNTRY_CODE OTHER_SPECIES_GROUP (B = birds) OTHER_SPECIES_CODE (see other_species_name for translation of code). OTHER_SPECIES_NAME (Waterfowl assemblage or breeding seabird assemblage) OTHER_SPECIES_SENSITIVE (0= none sensitive, 1 = sensitive. Note none of these data are sensitive) OTHER_SPECIES_NP (1= feature no longer present) OTHER_SPECIES_SIZE_MIN OTHER_SPECIES_SIZE_MAX (note that min and max are the same for all assemblages) OTHER_SPECIES_UNIT (i= individuals) OTHER_SPECIES_CATEGORY – blank in this case because quantitative population size is always given instead of these broad categories. OTHER_SPECIES_MOTIVATION (C: International Conventions - in this case Ramsar for the non breeding waterfowl; D: other reasons)

  18. D

    Formjacking Protection Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Formjacking Protection Market Research Report 2033 [Dataset]. https://dataintelo.com/report/formjacking-protection-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    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

    Formjacking Protection Market Outlook



    According to our latest research, the global Formjacking Protection Market size reached USD 881 million in 2024, reflecting robust demand for advanced cybersecurity solutions. The market is expected to expand at a CAGR of 14.2% from 2025 to 2033, reaching an estimated USD 2,800 million by 2033. This accelerated growth is driven by the increasing sophistication of cyber threats targeting online forms, particularly in sectors such as retail, BFSI, and healthcare, where sensitive customer data is frequently processed. Rising awareness of data privacy regulations and the financial and reputational risks associated with data breaches are key factors propelling the adoption of formjacking protection solutions worldwide.




    The primary growth driver for the Formjacking Protection Market is the escalating number of cyberattacks targeting web forms, which are integral to digital transactions and customer engagement. As businesses increasingly digitize their operations, online forms have become attractive targets for attackers seeking to steal payment information, personal identification data, and login credentials. Formjacking attacks, which involve injecting malicious JavaScript code into web pages to harvest data, have surged in both frequency and sophistication. High-profile breaches and regulatory scrutiny have heightened the urgency for organizations to deploy advanced formjacking protection tools, including real-time threat detection, behavioral analytics, and automated incident response, further fueling market expansion.




    Another significant factor contributing to the market’s growth is the proliferation of e-commerce and online financial services, which rely heavily on secure web forms for transactions and customer onboarding. The rise of remote work and digital-first business models during and after the pandemic has intensified the need for robust cybersecurity frameworks. Enterprises are increasingly prioritizing investments in formjacking protection to comply with stringent data protection laws such as GDPR, CCPA, and PCI DSS. Additionally, increased consumer awareness regarding data privacy has prompted businesses to adopt proactive measures to safeguard customer trust, thus accelerating the penetration of formjacking protection solutions across various industry verticals.




    Technological advancements and innovation in cybersecurity are also shaping the evolution of the Formjacking Protection Market. Vendors are integrating artificial intelligence, machine learning, and automation into their solutions to enhance detection accuracy, reduce false positives, and provide comprehensive coverage across web assets. The adoption of cloud-based deployment models is making these solutions more accessible to small and medium enterprises, democratizing access to enterprise-grade protection. Furthermore, partnerships between cybersecurity vendors and web hosting providers are streamlining the implementation process, enabling organizations to deploy protection at scale and in real time. These trends are expected to drive sustained growth and innovation throughout the forecast period.




    Regionally, North America continues to dominate the Formjacking Protection Market, accounting for the largest revenue share in 2024. The region’s leadership is attributed to a mature digital ecosystem, high internet penetration, and stringent regulatory frameworks. However, Asia Pacific is emerging as the fastest-growing market, propelled by rapid digital transformation, expanding e-commerce sectors, and increasing cyber risk awareness among enterprises. Europe maintains a strong presence due to regulatory mandates and a robust cybersecurity infrastructure, while Latin America and the Middle East & Africa are witnessing gradual adoption, driven by digitalization initiatives and growing investment in cybersecurity. The global landscape is characterized by evolving threat vectors and the need for continuous innovation to stay ahead of cybercriminals.



    Component Analysis



    The Component segment of the Formjacking Protection Market is bifurcated into Software and Services, each playing a distinct yet complementary role in safeguarding digital assets. Software solutions form the backbone of formjacking protection, providing real-time monitoring, anomaly detection, and automated threat mitigation. These platforms are designed to integrate seamlessly with existing web in

  19. w

    Global Host Hardware Security Modules Market Research Report: By Application...

    • wiseguyreports.com
    Updated Aug 24, 2025
    + more versions
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    (2025). Global Host Hardware Security Modules Market Research Report: By Application (Payment Processing, Data Protection, Identity Management, Digital Signatures), By End Use (Banking, Government, Healthcare, Retail, Telecommunications), By Form Factor (Internal Modules, External Modules, Portable Modules), By Deployment Type (On-Premises, Cloud-Based, Hybrid) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/host-hardware-security-modules-market
    Explore at:
    Dataset updated
    Aug 24, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Aug 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20244.96(USD Billion)
    MARKET SIZE 20255.49(USD Billion)
    MARKET SIZE 203515.0(USD Billion)
    SEGMENTS COVEREDApplication, End Use, Form Factor, Deployment Type, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSGrowing cybersecurity threats, Increasing regulatory compliance, Rising demand for data encryption, Advancements in technology, Expanding adoption of cloud services
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDGemalto, Micro Focus, HSM Solutions, Kaspersky, Radware, Stormshield, Fujitsu, Spectra Logic, Thales, Huawei, Entrust, Dell, Atos, Securosys, NICE, IBM
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESGrowing demand for data security, Increasing cyber threats and compliance needs, Rise in cloud-based services adoption, Expansion of IoT applications, Advancements in cryptographic technologies
    COMPOUND ANNUAL GROWTH RATE (CAGR) 10.6% (2025 - 2035)
  20. G

    Personal Data-Privacy Robot Chip Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 4, 2025
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    Growth Market Reports (2025). Personal Data-Privacy Robot Chip Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/personal-data-privacy-robot-chip-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Personal Data-Privacy Robot Chip Market Outlook




    According to our latest research, the global Personal Data-Privacy Robot Chip market size reached USD 4.8 billion in 2024, reflecting robust demand for privacy-centric hardware solutions across various sectors. The market is expected to witness a Compound Annual Growth Rate (CAGR) of 17.1% from 2025 to 2033, driving the market to a forecasted value of USD 21.6 billion by 2033. The principal growth driver is the escalating need for secure data processing and privacy protection in an increasingly connected digital environment, where both consumers and enterprises are prioritizing data security and regulatory compliance.




    The primary growth factor propelling the Personal Data-Privacy Robot Chip market is the exponential surge in data breaches and cyber-attacks, which have put personal and organizational data at significant risk. As the volume of sensitive data generated by smart devices, autonomous systems, and IoT platforms continues to rise, there is mounting pressure on manufacturers and service providers to integrate advanced privacy protection mechanisms at the hardware level. This has led to a surge in the adoption of specialized chips that can autonomously handle data encryption, anonymization, and secure storage, reducing reliance on software-based security solutions that are often more vulnerable to external threats. Regulatory frameworks such as GDPR, CCPA, and other data protection laws across major economies are further accelerating this trend, compelling organizations to invest in robust privacy-preserving technologies.




    Another significant driver is the rapid proliferation of smart devices and the growing penetration of artificial intelligence in consumer electronics, healthcare, and automotive sectors. As these devices become more intelligent and interconnected, the risk of personal data exposure multiplies. The integration of Personal Data-Privacy Robot Chips ensures that sensitive information is processed locally and securely, minimizing data transmission vulnerabilities. This on-device approach to privacy aligns with the evolving consumer expectations for transparency and control over their personal information. Additionally, advancements in chip fabrication and miniaturization are enabling the deployment of these privacy solutions in a wide array of form factors, from wearable devices to autonomous vehicles, broadening the addressable market.




    Furthermore, the increasing adoption of cloud computing and edge computing paradigms is reshaping data privacy strategies across industries. Enterprises are recognizing the need to balance the benefits of cloud scalability with the imperative of data confidentiality. Personal Data-Privacy Robot Chips are being leveraged to enable secure data processing at the edge, allowing organizations to comply with data residency requirements and reduce latency. This is particularly critical in sectors such as healthcare and finance, where real-time data privacy is paramount. The convergence of hardware-based privacy solutions with advanced machine learning algorithms is also fostering innovation, enabling chips to dynamically adapt to emerging threats and privacy requirements.




    Regionally, North America continues to dominate the Personal Data-Privacy Robot Chip market due to its advanced technological infrastructure, high adoption of smart devices, and stringent regulatory landscape. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid digitalization, expanding consumer electronics markets, and increasing government initiatives around data protection. Europe, with its strong emphasis on privacy rights and regulatory compliance, remains a key contributor to market revenue, while Latin America and the Middle East & Africa are witnessing gradual adoption driven by growing awareness and infrastructural developments.





    Component Analysis




    The Personal Data-Privacy Robot Chip market is segmented by component into hardware, software, and services, ea

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Saanvi Anup K (2025). Survey on Digital Privacy and Data Security [Dataset]. https://www.kaggle.com/datasets/san445/survey-on-digital-privacy-and-data-security
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Survey on Digital Privacy and Data Security

Exploring Behaviors, Concerns, and Attitudes Toward Online Data Security

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zip(89365 bytes)Available download formats
Dataset updated
Apr 9, 2025
Authors
Saanvi Anup K
License

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

Description

The "Data Privacy form." file contains responses to a data privacy awareness survey. The sheet is titled "Data Privacy and Data Security." and includes the following key areas: Demographics: Age range, gender, and location. Device usage: Types of digital devices used daily (e.g., phone, computer, TV). Privacy concerns: Level of concern about online privacy and trust in online platforms. Personal data sensitivity: Types of personal information respondents are most concerned about. Digital habits: Frequency of: Using online platforms Reading privacy policies Updating devices Using antivirus or ad-blockers Perceived data security: Trust in tech companies and using public Wi-Fi. Experiences: History of data breaches or identity theft. Other habits: Screentime, use of online payment methods, concerns about hacking. The data is structured but includes some formatting issues—such as mismatched headers and misplaced values—which could be cleaned up for better analysis. Let me know if you want a cleaned-up version, summary statistics, or visualizations from this dataset.

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