A comprehensive database of experimental and computational liquid-liquid extraction data for separating actinides and lanthanides, intended for use in machine learning models.

This data set contains data, HTML and document files downloaded and saved from the first incarnation of the Deep Space 1 Data web site. These data, despite superficial appearances, are not in a PDS standard format, nor is there sufficient documentation on format or content to prepare the data for external review or proper archiving. The bits were saved before the web site disappeared (c.2004) without explanation, in the hopes that resources could be found to decipher them.

Presented November 30, 2022, this webinar is part of the Child Welfare Information Technology Managers and Staff Series. The presentation focuses on threat prevention, new federal guidance on data security, and data breach or incident protocols.

Audio Description Version

Metadata-only record linking to the original dataset. Open original dataset below.

Users of the V-safe data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe data will not be presented and/or published in any way in which an individual can be identified.

Therefore, users will:

1. Not attempt to link or permit others to link the data with individually identified records in another database.
2. Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.
3. Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.
4. Understand that sub-national analyses are not appropriate for this national sample and will not be conducted.
5. Understand that V-safe is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe might not be representative or generalizable to the US population.

V-safe is an active surveillance program to monitor the safety of COVID-19 vaccines that are authorized for use under U.S. Food and Drug Administration (FDA) Emergency Use Authorization (EUA) and after FDA licensure.

These data include registrant information (deidentified), health check-in, and vaccination data collected through V-safe from 12/13/2020 to 06/30/2023. Please review the V-safe data user agreement before analyzing any V-safe data. Updated on September 5, 2025, to comply with the President's Executive Order 14168.

Quantum-Secure Database Market Outlook

According to our latest research, the Quantum-Secure Database market size reached USD 1.29 billion in 2024, driven by robust investments in quantum-resistant cybersecurity and the rising threat of quantum computing to conventional encryption methods. The market is forecasted to grow at a CAGR of 32.4% from 2025 to 2033, reaching an estimated USD 16.2 billion by 2033. This remarkable growth is primarily attributed to increasing regulatory pressures, the proliferation of sensitive data across industries, and the urgent need for future-proof data protection solutions.

One of the primary growth factors propelling the Quantum-Secure Database market is the accelerating advancement of quantum computing technologies. As quantum computers become more capable, they pose a significant threat to traditional cryptographic algorithms, such as RSA and ECC, which underpin most current data security protocols. Organizations across sectors, especially those handling highly sensitive information like BFSI, government, and healthcare, are increasingly aware of the risks posed by quantum attacks. This awareness is driving significant investments in quantum-secure database solutions that leverage quantum-resistant encryption methods, such as lattice-based, hash-based, and multivariate polynomial cryptography. The transition to quantum-safe infrastructure is now seen as a critical step in long-term data protection strategies, further fueling market demand.

Another key driver is the evolving regulatory landscape surrounding data privacy and security. Governments and regulatory bodies worldwide are enacting stricter compliance mandates to ensure the safety of critical data assets in the face of emerging quantum threats. For instance, the US National Institute of Standards and Technology (NIST) has accelerated its efforts to standardize post-quantum cryptography algorithms, prompting organizations to upgrade their existing database security frameworks. This regulatory momentum is compelling enterprises to adopt quantum-secure database solutions proactively, not only to achieve compliance but also to maintain customer trust and avoid potential financial penalties associated with data breaches. The intersection of regulatory pressure and technological innovation is expected to sustain high growth rates in this market throughout the forecast period.

The increasing digitization of business operations and the exponential growth of data volumes are further amplifying the need for advanced database security. As enterprises embrace cloud computing, IoT, and big data analytics, the attack surface for cyber threats expands, making traditional security measures inadequate. Quantum-secure databases offer a future-proof approach by integrating quantum-resistant cryptography at the data storage and transaction levels, ensuring that sensitive information remains protected even as quantum computers become mainstream. The growing adoption of cloud-based infrastructures, in particular, is accelerating the deployment of quantum-secure databases, as organizations seek scalable and resilient solutions to safeguard their critical assets against evolving cyber threats.

From a regional perspective, North America currently dominates the Quantum-Secure Database market, accounting for the largest revenue share in 2024, followed closely by Europe and the Asia Pacific. The region's leadership can be attributed to the presence of major technology providers, robust cybersecurity infrastructure, and early adoption of quantum-safe technologies among financial institutions and government agencies. Meanwhile, the Asia Pacific market is expected to exhibit the fastest growth over the forecast period, driven by rapid digital transformation, expanding IT infrastructure, and increasing awareness of quantum security risks among enterprises in China, Japan, and India. As quantum computing research accelerates globally, other regions such as Europe and the Middle East are also ramping up investments in quantum-secure database solutions, fostering a highly competitive and dynamic market landscape.

Component Analysis

The Quantum-Secure Database market is segmented by component into software, hardware, and services, each playing a pivotal role in the overall ecosystem. The software segment currently holds the largest market share, as organizations prioritize the integration of quantum-resistant cryptographic algorithms into the

Z-Edgar/agent-safe-data dataset hosted on Hugging Face and contributed by the HF Datasets community

A database where EPA has compiled data on public drinking water systems and whether they have certain drinking water violations. This data is collected by the states and given to the EPA. This dataset is associated with the following publication: Pennino, M., J. Compton, and S. Leibowitz. Trends in Drinking Water Nitrate Violations Across the United States. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 13450-13460, (2017).

Safety Data Sheet Management Market size was valued at USD 14.9 Billion in 2024 and is projected to reach USD 25.4 Billion by 2031, growing at a CAGR of 7.8 % during the forecast period 2024-2031.

Stringent Regulatory Requirements: Increasing global regulations and compliance standards for hazardous materials drive the need for efficient SDS management systems.

Workplace Safety Concerns: Workplace safety is a paramount concern for businesses across diverse industries. An increasing focus on employee health and well-being has led companies to adopt stringent safety measures. Safety Data Sheets (SDS) are integral to these measures, providing detailed information on the properties and handling of hazardous chemicals. Effective SDS management systems ensure that employees are well-informed about the risks and safe handling procedures associated with chemicals they work with. This not only helps in complying with Occupational Safety and Health Administration (OSHA) standards but also mitigates the financial and reputational risks associated with workplace accidents. The growing emphasis on creating safer work environments has driven companies to seek comprehensive SDS management solutions, thus propelling the market forward. Growth in Chemical Industry: The chemical industry is experiencing robust growth, driven by increasing demand from sectors such as pharmaceuticals, agriculture, and manufacturing. As the volume and variety of chemicals being produced and used escalate, so does the complexity of managing their safety data. Regulatory bodies mandate that up-to-date and accurate SDS be provided and maintained for chemicals, ensuring safe usage, handling, and disposal. Companies in the chemical industry are consequently investing in advanced SDS management systems to streamline compliance with these regulations, manage inventory, and ensure that safety information is readily accessible. This sector’s expansion significantly contributes to the growth of the SDS management market. Technological Advancements: Technological advancements in digital solutions have revolutionized the SDS management landscape. Innovations like cloud-based platforms, Artificial Intelligence (AI), and mobile applications have made it easier and more efficient to manage, access, and update safety data sheets. These technologies offer real-time updates, enhanced accuracy, and improved accessibility, thereby improving compliance and reducing administrative burdens. AI can automate the extraction and updating of safety data, while mobile applications allow for on-the-go access to critical safety information. These technological advancements not only enhance operational efficiency but also provide a competitive edge to businesses, making them a driving force in the market. Environmental Regulations: Environmental regulations across the globe are becoming increasingly stringent, compelling organizations to adopt robust compliance mechanisms. Regulatory frameworks such as the Globally Harmonized System (GHS) for Classification and Labelling of Chemicals necessitate that businesses maintain accurate and up-to-date SDS. Compliance with these regulations is critical to avoid hefty fines, legal repercussions, and potential operational shutdowns. The increasing enforcement of environmental laws and standards drives the demand for efficient SDS management systems that can handle complex regulations and ensure seamless compliance. As a result, regulatory pressure acts as a significant market driver, pushing organizations to invest in advanced SDS management solutions. Globalization of Supply Chains: International trade and complex supply chains require standardized and accessible SDS documentation across borders. Risk Management: Companies are increasingly adopting SDS management systems to mitigate risks associated with hazardous materials and ensure swift response in emergencies. Cost Efficiency: Automated SDS management systems reduce administrative burden, minimize errors, and save costs associated with manual data handling. Corporate Responsibility and Sustainability: Growing emphasis on corporate social responsibility and sustainability practices encourages companies to adopt comprehensive SDS management systems. Digital Transformation: The shift towards digital transformation in various industries propels the adoption of electronic SDS management solutions.

As required by Directive 2004/49/EC, in order to be granted access to the railway infrastructure, a railway undertaking must hold a safety certificate. The award of a safety certificate, gives confirmation that the railway undertaking has established its safety management system and is able to comply with relevant safety standards and rules in order to control risks and operate safely on the network. The safety certificate comprises Part A (confirmation of acceptance of the railway undertaking’s safety management system) and Part B (confirmation of acceptance of the provisions adopted by the railway undertaking to meet specific requirements necessary for the safe operation of the relevant network).

The Statistics allows you to generate a number of detailed reports from the Safety Certificates Database, on the basis of a set of pre-defined filters. A number of the reports may be used to support planning of the safety certification process and supervision process, especially for the cross border operations.

Tempe’s trust data for this measure is collected every month and comes from the “Safety” result from the monthly administered Police Sentiment Survey. There is one question which feeds into these results: "When it comes to the threat of crime, how safe do you feel in your neighborhood?" Benchmark data is from cohorts of communities with similar characteristics, such as size, population density, and region. This data is collected every month and quarter via a recurring report.This page provides data for the Feeling of Safety in Your Neighborhood performance measure. The performance measure dashboard is available at 1.05 Feeling of Safety in Your Neighborhood.Data Dictionary Additional Information Source: Zencity Contact: Amber Asburry Contact email: strategic_management_innovation@tempe.gov Data Source Type: Excel, CSV Preparation Method: Take the "Safety" score from the Police Sentiment Survey. This score includes the average of the top two results from the question underneath this area on the report. These months are then averaged to get the quarterly score. Publish Frequency: Monthly Publish Method: Manual

Daratumumab is widely used in multiple myeloma (MM) and light chain amyloidosis (AL amyloidosis). The purpose of this study was to identify adverse event (AE) signals for daratumumab through the FDA Adverse Event Reporting System (FAERS) database to assess its safety in a large sample of people. Based on data from the FAERS database, three disproportionality analysis methods were used to mine AE signals for daratumumab, including reporting odd ratio (ROR), proportional reporting ratio (PRR), and bayesian configuration promotion neural network (BCPNN). A total of 9220 AE reports with daratumumab as the primary suspect drug were collected, containing 23,946 AEs. Within these reports, 252 preferred terms (PT) levels, 73 high level term (HLT) levels and 11 system organ class (SOC) levels of AE signals were detected, along with some new AEs. Most AEs occurred within the first month after drug administration. Our findings were consistent with the results of established studies that daratumumab has a good safety profile. The newly identified AEs are of concern and prospective clinical studies are needed to confirm whether they are causally related to daratumumab. This study provided an early warning for the safe use of daratumumab and also provided guidance for further safety studies.

This dataset comes from the biennial City of Tempe Employee Survey question about feeling safe in the physical work environment (building). The Employee Survey question relating to this performance measure: “Please rate your level of agreement: My physical work environment (building) is safe, clean & maintained in good operating order.” Survey respondents are asked to rate their agreement level on a scale of 5 to 1, where 5 means “Strongly Agree” and 1 means “Strongly Disagree” (without “don’t know” responses included).The survey was voluntary, and employees were allowed to complete the survey during work hours or at home. The survey allowed employees to respond anonymously and has a 95% confidence level. This page provides data about the Feeling Safe in City Facilities performance measure. The performance measure dashboard is available at 1.11 Feeling Safe in City FacilitiesAdditional InformationSource: Employee SurveyContact: Wydale HolmesContact E-Mail: Wydale_Holmes@tempe.govData Source Type: CSVPreparation Method: Data received from vendor and entered in CSVPublish Frequency: BiennialPublish Method: ManualData Dictionary (update pending)

.SAFE Whois Database, discover comprehensive ownership details, registration dates, and more for .SAFE TLD with Whois Data Center.

189 Global import shipment records of Security Safe with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This data were collected during the Safety Pilot Model Deployment (SPMD). The data sets that these entities will provide include basic safety messages (BSM), vehicle trajectories, and various driver-vehicle interaction data, as well as contextual data that describes the circumstances under which the Model Deployment data was collected. Large portion of the data contained in this environment is obtained from on board vehicle devices and roadside units. This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

Researchers from the University of Colorado Boulder's Center for the Study and Prevention of Violence (CSPV) partnered with educators in 46 middle schools to implement Safe Communities Safe Schools (SCSS). SCSS seeks to prevent and reduce behavioral incidents, address mental and behavioral health concerns, and increase prosocial behavior in the school setting through three core program components: developing a functioning multidisciplinary school team, building capacity around data use, and selecting and implementing evidence-based programs. The study explored research questions in three areas: readiness (whether schools met baseline criteria and experienced changes in readiness over time), implementation (whether the SCSS model was implemented as intended; whether it is feasible, acceptable, and effective when implemented schoolwide), and associated outcomes (effects on school climate, safety, related behavioral and mental health indicators, and academic outcomes). To explore questions in these three areas, CSPV and external evaluators from American Institutes for Research conducted a mixed-methods randomized control trial with a staggered implementation design using qualitative data (open-ended questions on implementation surveys, focus groups) and quantitative data (staff and student school climate data, attendance/truancy rates, and suspension rates, and academic achievement data). This collection is organized into 12 parts and includes administrative school record data, student and staff climate surveys, and fidelity data. School record data from years 1 and 2 of the study include school-level attendance, truancy, and suspension rates, as well as student-level assessment data. Qualitative focus group data is not currently included in the collection.

Users of the V-safe data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe data will not be presented and/or published in any way in which an individual can be identified.

Therefore, users will:

1. Not attempt to link or permit others to link the data with individually identified records in another database.
2. Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.
3. Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.
4. Understand that sub-national analyses are not appropriate for this national sample and will not be conducted.
5. Understand that V-safe is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe might not be representative or generalizable to the US population.

V-safe is an active surveillance program to monitor the safety of COVID-19 vaccines that are authorized for use under U.S. Food and Drug Administration (FDA) Emergency Use Authorization (EUA) and after FDA licensure.

These data include MedDRA coded text responses collected through V-safe from 12/13/2020 to 06/30/2023. Please review the V-safe data user agreement before analyzing any V-safe data.

Quantum-Resistant Database Encryption Market Outlook

According to our latest research, the global quantum-resistant database encryption market size reached USD 1.42 billion in 2024, with a robust compound annual growth rate (CAGR) of 38.7% projected through 2033. By the end of 2033, the market is forecasted to achieve a value of USD 18.36 billion, reflecting the surging demand for advanced cryptographic solutions to protect sensitive data against the looming threat of quantum computing. This exceptional growth is primarily driven by the urgent need for next-generation encryption technologies across critical industries, as enterprises and governments worldwide race to future-proof their cybersecurity infrastructure.

The primary growth factor propelling the quantum-resistant database encryption market is the accelerating advancement in quantum computing technologies. As quantum computers edge closer to mainstream adoption, traditional encryption algorithms such as RSA and ECC face obsolescence due to their vulnerability to quantum attacks. This has galvanized organizations across the BFSI, healthcare, and government sectors to proactively transition towards quantum-resistant encryption protocols. Furthermore, regulatory bodies are increasingly mandating the adoption of post-quantum cryptography to safeguard national security interests and ensure compliance with emerging data protection standards. The heightened awareness of quantum threats, combined with the proliferation of mission-critical digital assets, is catalyzing investments in quantum-safe database encryption solutions.

Another significant driver is the rapid digital transformation and cloud migration observed across enterprises of all sizes. As organizations pivot towards hybrid and multi-cloud environments, the risk of data exposure intensifies, necessitating robust encryption mechanisms that can withstand both classical and quantum attacks. Quantum-resistant encryption technologies are gaining traction for their ability to provide long-term data confidentiality in dynamic, distributed computing ecosystems. Additionally, the surge in remote work, IoT adoption, and cross-border data flows is amplifying the need for scalable, future-proof database encryption platforms. Vendors are responding by integrating quantum-safe algorithms into their software and hardware offerings, enabling seamless deployment across diverse IT architectures.

The competitive landscape is further shaped by the increasing frequency and sophistication of cyberattacks targeting enterprise databases. High-profile data breaches and ransomware incidents have underscored the inadequacy of legacy encryption methods, prompting a paradigm shift towards quantum-resistant solutions. Industry leaders are collaborating with academic institutions and cryptographic research organizations to develop and standardize post-quantum encryption algorithms. The market is also witnessing significant government funding and strategic partnerships aimed at accelerating the commercialization of quantum-safe database encryption technologies. As a result, the ecosystem is evolving rapidly, with startups and established players vying for market share through innovation, interoperability, and compliance-driven offerings.

From a regional perspective, North America currently dominates the quantum-resistant database encryption market, accounting for over 42% of global revenue in 2024. This leadership is attributed to the presence of major technology providers, early adoption by financial institutions, and robust government initiatives focused on quantum-safe cybersecurity. Europe follows closely, driven by stringent data privacy regulations and a strong emphasis on digital sovereignty. The Asia Pacific region is emerging as the fastest-growing market, fueled by rapid digitalization, expanding cloud infrastructure, and heightened investments in quantum computing research. Latin America and the Middle East & Africa are also witnessing gradual uptake, supported by increasing awareness and regulatory support for advanced encryption technologies.

This report provides data on statewide sudden, unexpected infant deaths (SUID) as well as risk factors and preventive measures.

1797 United States import shipment records of Safe locks from China with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.