Information on utilization and payment data for Home health agency, Hospice, skilled nursing facitlity. Information on Inpatient Prospective Payment System (IPPS) payments, Inpatient Rehabilitation Facilities (IRFs)

All states (including the District of Columbia) are required to provide data to The Centers for Medicare & Medicaid Services (CMS) on a range of Medicaid and Children’s Health Insurance Program (CHIP) indicators related to key application, eligibility, enrollment and call center processes. These data reflect enrollment activity for all populations receiving comprehensive Medicaid and CHIP benefits in all states, as well as state program performance. States submit this data via the Performance Indicator dataset. Further information about this dataset is available at: https://www.medicaid.gov/medicaid/national-medicaid-chip-program-information/medicaid-chip-enrollment-data/performance-indicator-technical-assistance/index.html.

Data obtained from computational DFT calculations on Cubic SnF is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files.

Database Security Solution Market Outlook

The global database security solution market was valued at USD 4.5 billion in 2023 and is projected to reach USD 11.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% from 2024 to 2032. This remarkable growth can be attributed to the increasing volume of data generated and stored by organizations, rising cyber threats, regulatory compliance requirements, and the growing adoption of cloud-based services across various industries.

One of the primary growth factors for the database security solution market is the exponential increase in data generation and storage. With the advent of big data, IoT, and advanced analytics, organizations are producing vast amounts of data that need to be securely stored and managed to prevent unauthorized access and data breaches. As a result, there is a growing demand for robust database security solutions that can protect sensitive information across diverse databases and platforms, ensuring data privacy and integrity.

Another significant growth driver is the rising number of cyber threats and data breaches. Organizations face sophisticated cyber-attacks that target confidential and high-value data, leading to financial losses, reputational damage, and regulatory penalties. This has necessitated the implementation of advanced database security solutions that offer real-time threat detection, encryption, access control, and audit capabilities to safeguard critical data and maintain business continuity.

Compliance with stringent regulatory frameworks is also propelling the growth of the database security solution market. Regulations such as GDPR, HIPAA, and CCPA mandate the protection of personal and sensitive information, compelling organizations to adopt comprehensive database security measures. Businesses are investing heavily in database security solutions to meet these regulatory requirements, avoid hefty fines, and build customer trust by ensuring data confidentiality and compliance.

The advent of Big Data Security has become a pivotal aspect in the realm of database security solutions. As organizations increasingly rely on big data analytics to drive business insights, the security of this data becomes paramount. Big Data Security involves implementing comprehensive measures to protect large volumes of data from unauthorized access and breaches. It encompasses various strategies, including encryption, access controls, and real-time monitoring, to ensure that sensitive data remains protected throughout its lifecycle. As the volume and complexity of data continue to grow, the demand for advanced Big Data Security solutions is expected to rise, driving further innovation and investment in this area.

Regionally, the database security solution market is witnessing significant growth, with North America leading the charge due to its advanced technological infrastructure, early adoption of innovative security solutions, and stringent data protection laws. Europe is also experiencing substantial growth driven by the enforcement of GDPR and increasing awareness of data privacy issues. The Asia Pacific region is projected to witness the highest CAGR during the forecast period, fueled by the rapid digital transformation, rising cyber threats, and growing government initiatives to enhance cybersecurity.

Component Analysis

The database security solution market can be segmented by component into software, hardware, and services. The software segment holds the largest market share, driven by the extensive use of database security software to protect data against unauthorized access, malware, and other cyber threats. These software solutions offer various functionalities such as encryption, access control, auditing, and monitoring, making them indispensable for organizations looking to secure their databases effectively.

The hardware segment, although smaller compared to software, plays a crucial role in enhancing database security. Hardware-based security solutions, such as hardware security modules (HSMs), are used for cryptographic key management and secure storage of sensitive data. These solutions provide an additional layer of security by ensuring that cryptographic operations are performed in a tamper-resistant environment, thus preventing unauthorized access and key compromise.

The services segment is also witnessing significant growth, driven by the increasing demand for m

The Database Security market is experiencing robust growth, projected to reach $2556.1 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 11.4% from 2025 to 2033. This expansion is fueled by the increasing frequency and sophistication of cyberattacks targeting sensitive data stored in databases, coupled with stringent data privacy regulations like GDPR and CCPA. The rising adoption of cloud computing and the proliferation of big data also contribute significantly to market growth, as organizations require robust security solutions to protect their valuable data assets across diverse environments. The market is segmented by application (SMEs, Large Enterprises) and type (Marketing, Sales, Operations, Finance, HR & Legal), with large enterprises and applications involving sensitive financial data demonstrating particularly high demand for advanced database security solutions. North America currently holds a dominant market share due to early adoption of advanced technologies and a strong regulatory landscape, but the Asia-Pacific region is poised for significant growth, driven by increasing digitalization and a rapidly expanding economy. The competitive landscape is characterized by a mix of established players like Oracle and IBM, alongside specialized security vendors such as Trustwave and McAfee. These companies offer a wide range of solutions, including database activity monitoring, encryption, access control, and vulnerability management. The market is witnessing innovation in areas like AI-powered threat detection and automated security response, which are enhancing the effectiveness and efficiency of database security solutions. However, challenges remain, including the rising complexity of cyber threats, the skills gap in cybersecurity professionals, and the high cost of implementing and maintaining comprehensive database security systems. The continued evolution of cyberattacks and data privacy regulations will be key drivers shaping the future of this dynamic market.

SNF study location measurements of percent ground coverage provided by each understory species; percentages are averages of five 2-meter-diameter subsamples in each site (presented in table format)

Reproducibility data for the AntiBody Sequence Database (ABSD) article. This dataset contains the raw data (antibody sequences) extracted on June 20, 2024, from various databases, as well as the several scripts, to ensure the reproducibility of our results. External databases used: ABDB, AbPDB, CoV-AbDab, Genbank, IMGT, PDB, SACS, SAbDab, TheraSAbDab, UniProt, KABAT Scripts usage: each external database has a corresponding script to format all antibody sequences extracted from it. A last script enable merging all extracted antibody sequences while removing redundancy, standardizing and cleaning data.

Average percent coverage and standard deviation of each canopy stratum from subplots at each aspen site during the SNF study in the Superior National Forest, Minnesota

A large body of research has demonstrated that land use and urban form can have a significant effect on transportation outcomes. People who live and/or work in compact neighborhoods with a walkable street grid and easy access to public transit, jobs, stores, and services are more likely to have several transportation options to meet their everyday needs. As a result, they can choose to drive less, which reduces their emissions of greenhouse gases and other pollutants compared to people who live and work in places that are not location efficient. Walking, biking, and taking public transit can also save people money and improve their health by encouraging physical activity. The Smart Location Database summarizes several demographic, employment, and built environment variables for every census block group (CBG) in the United States. The database includes indicators of the commonly cited “D” variables shown in the transportation research literature to be related to travel behavior. The Ds include residential and employment density, land use diversity, design of the built environment, access to destinations, and distance to transit. SLD variables can be used as inputs to travel demand models, baseline data for scenario planning studies, and combined into composite indicators characterizing the relative location efficiency of CBG within U.S. metropolitan regions. This update features the most recent geographic boundaries (2019 Census Block Groups) and new and expanded sources of data used to calculate variables. Entirely new variables have been added and the methods used to calculate some of the SLD variables have changed. More information on the National Walkability index: https://www.epa.gov/smartgrowth/smart-location-mapping More information on the Smart Location Calculator: https://www.slc.gsa.gov/slc/

Weather data were collected by the National Weather Service in International Falls, Minnesota. International Falls is about 80 miles from the SNF, but the weather data is representative of the area. Total solar insolation measurements were made at Fall Lake Dam in Winton, Minn. by Prof. Donald Baker of the Department of Soil Science at the University of Minnesota, St. Paul. Insolation values were measured using a Yellow Springs solar cell calibrated against an Eppley Pyranometer. This data set contains monthly summaries of the daily average temperature (minimum, maximum, average) and insolation for the years 1976-1986.

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

The global Information Technology Application Innovation Databases market is experiencing robust growth, driven by the increasing adoption of cloud computing, big data analytics, and the digital transformation initiatives across various sectors. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $150 billion by 2033. Key drivers include the rising demand for real-time data processing, enhanced data security needs across sectors like Smart Government Affairs and Information Security, and the accelerating digitalization of industries. The market is segmented by database type (RDBMS and NoSQL) and application (Smart Government Affairs, Information Security, Industry Digitalization, Digital Industrialization, and Others). RDBMS currently holds a larger market share due to its established presence and maturity, but NoSQL databases are gaining traction, fueled by the need for scalability and flexibility in handling unstructured data. The strong growth in the Asia-Pacific region, particularly in China and India, is further contributing to the overall market expansion, driven by rapid technological advancements and increasing government investments in digital infrastructure. However, challenges like data privacy concerns, the complexity of database management, and the high initial investment costs act as restraints. The competitive landscape is highly fragmented, with major players including Oracle, IBM, Microsoft, Amazon (AWS), and Google Cloud Platform offering a range of database solutions. These companies are constantly innovating to improve performance, security, and scalability, leading to increased competition and fostering market growth. The shift toward cloud-based database solutions is a prominent trend, offering businesses scalability, cost-effectiveness, and improved accessibility. The convergence of databases with artificial intelligence (AI) and machine learning (ML) is also emerging as a key trend, enabling more intelligent data analysis and decision-making. Future growth will be significantly influenced by the adoption of advanced technologies like blockchain, serverless computing, and edge computing within database management systems. Continued investment in research and development will be crucial for companies to maintain their competitive edge in this rapidly evolving market.

Inventory of various satellite image data acquired for the Superior National Forest, MN study including MSS, TM, SPOT, and HRV1-HRV2 over a period from 03JUL1983 to 16AUG1990

The National Diabetes Audit (NDA) is part of the National Clinical Audit and Patient Outcomes Programme (NCAPOP) which is commissioned by the Healthcare Quality Improvement Partnership (HQIP) and funded by NHS England. The NDA is managed by NHS Digital in partnership with Diabetes UK. The NDA measures the effectiveness of diabetes healthcare against NICE Clinical Guidelines and NICE Quality Standards, in England and Wales. The NDA collects, analyses and reports data for use by primary care and specialist services, local and national commissioners to support change and improvement in the quality of services and health outcomes for people with diabetes. This data release includes the care process and treatment target measurements for 2019-20 (1st January 2019 – 31st March 2020). Data were collected during May and June 2020. The national report, scheduled for 2021, will contain commentary on the audit findings and recommendations. We will communicate to users when the publication date for this report has been finalised. GP practice participation in England and Wales has increased from 98.0 per cent in 2018-19 to 99.2 per cent in 2019-20. Diabetes specialist service participation stands at 98 services in 2019-20. For NDA 2019-20, Diabetes Eye Screening (DES) data has been collected directly from DES providers for the first time. All but one DES provider in England (Liverpool) successfully submitted data, although three providers made partial submissions. For Liverpool, eye examination information secondarily recorded in Primary Care systems has been used, which is likely to be incomplete. The new 'Retinal Screening' care process measure appears in the care process and treatment targets worksheets and also feeds into the new 'All Nine Care Processes' measure, which is reported in addition to the longstanding ‘All Eight Care Processes'. Please note that there is a potential issue with the SNOMED codes used to identify if a person has had their serum creatinine care process check. Two serum/plasma creatinine codes were removed from the NDA creatinine code set during the universal SNOMED code refresh. This has affected the measurement of creatinine care process completion in a small number of health economies, and thereby has the potential to influence the all eight/nine care process percentages for organisations/areas that still use these codes. To resolve the issue, the NDA business rules are currently being amended to add these codes back into future NDA data extractions.

Comprehensive dataset of 15 Stores and shoppings in Maine, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Swedish Contextual Database provides a large number of longitudinal and regional macro-level indicators primarily assembled to facilitate research on the effects of contextual factors on family and fertility behavior. It can be linked to the individual-level data of the Swedish GGS as well as to data of other surveys. It can also be used for other types of research and for teaching. The comparative data will also be integrated into the international Contextual Database of the GGP. The contextual data are available open-access through the GGP webpage: www.ggp-i.org and through the webpage of Stockholm University Demography Unit www.suda.su.se

Purpose:

The Swedish contextual database (CDB) was established to accompany the Swedish Generations and Gender Survey (GGS) and to complement the contextual database of the international Generations and Gender Programme (GGP).

The Swedish Contextual Data Collection is available in xls format. In addition to that, the internationally comparative data will be integrated into the Contextual Database (CDB) of the GGP in 2018. These data can be exported in other formats, as well (e.g. CSV, XML). The indicators can also be accessed in a single file in STATA or SPSS format. The data can be matched with the Swedish GGS. International regional coding schemes are also supported, such as NUTS, OECD.

The NYS Department of Environmental Conservation (DEC) collects and maintains several datasets on the locations, distribution and status of species of plants and animals. Information on distribution by county from the following three databases was extracted and compiled into this dataset. First, the New York Natural Heritage Program biodiversity database: Rare animals, rare plants, and significant natural communities. Significant natural communities are rare or high-quality wetlands, forests, grasslands, ponds, streams, and other types of habitats. Next, the 2nd NYS Breeding Bird Atlas Project database: Birds documented as breeding during the atlas project from 2000-2005. And last, DEC’s NYS Reptile and Amphibian Database: Reptiles and amphibians; most records are from the NYS Amphibian & Reptile Atlas Project (Herp Atlas) from 1990-1999.

This data set is a Microsoft Access database containing detailed station data (station name number, date, location, depth, time, and bottom temperature) as well as species, fish counts and measurements, and habitat data derived from the raw video and still images and from chevron fish traps.

The Database Automation Systems market is experiencing robust growth, driven by the increasing complexity of databases, the rising demand for improved operational efficiency, and the need for enhanced data security. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated $45 billion by 2033. This expansion is fueled by several key trends, including the widespread adoption of cloud-based database solutions, the growing popularity of DevOps methodologies, and the increasing focus on automation across various industries. The on-premise segment currently holds a significant market share, but cloud-based solutions are rapidly gaining traction due to their scalability, cost-effectiveness, and accessibility. The IT & Telecom sector is a major driver of market growth, followed by the Government and Transportation sectors. However, challenges such as the high initial investment costs associated with implementing database automation systems and the need for skilled professionals to manage these systems act as restraints. The geographical distribution of the market reflects a strong presence in North America, followed by Europe and Asia Pacific. North America’s dominance is attributed to early adoption of advanced technologies and a robust IT infrastructure. However, emerging economies in Asia Pacific, particularly India and China, are showing significant growth potential due to increasing digitalization and investments in IT infrastructure. The competitive landscape is characterized by a mix of established players like Oracle, IBM, and Microsoft, alongside specialized database automation vendors like Datavail and Quest Software. These companies are continuously innovating to enhance their offerings, focusing on AI-powered automation, improved integration with other IT tools, and enhanced security features to maintain their competitive edge.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information