IDEAL is a database collecting of knowledge on experimentally verified intrinsically disordered proteins

Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.

Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.

Why Choose Success.ai?

• Best Price Guarantee: We offer industry-leading pricing and beat any competitor.
• Global Reach: Access over 28 million verified company profiles across 195 countries.
• Comprehensive Data: Over 15 data points, including company size, industry, funding, and technologies used.
• Accurate & Verified: AI-validated with a 99% accuracy rate, ensuring high-quality data.
• Real-Time Updates: Stay ahead with continuously updated company information.
• Ethically Sourced Data: Our B2B data is compliant with global privacy laws, ensuring responsible use.
• Dedicated Service: Receive personalized, curated data without the hassle of managing platforms.
• Tailored Solutions: Custom datasets are built to fit your unique business needs and industries.

Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.

Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:

Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.

From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.

Key Use Cases:

• Targeted Lead Generation: Build accurate lead lists by filtering data by company size, industry, or location. Target decision-makers in key industries to streamline your B2B sales outreach.
• Account-Based Marketing (ABM): Use B2B company data to personalize marketing campaigns, focusing on high-value accounts and improving conversion rates.
• Investment Research: Track company growth, funding rounds, and employee trends to identify investment opportunities or potential M&A targets.
• Market Research: Enrich your market intelligence initiatives by gain...

This dataset provides information about the number of properties, residents, and average property values for Ideal Street cross streets in Milan, MI.

Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

Key Features of the Dataset:

Verified Contact Details

Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

Detailed Professional Insights

Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

Business-Specific Information

Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

Continuously Updated Data

Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

Why Choose Success.ai?

At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

Use Cases: This dataset empowers you to:

Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

Get Started Today Request a sample or customize your dataset to fit your unique...

Customs records of are available for IDEAL FASTENER ASIA LTD 11 F. IDEAL. Learn about its Importer, supply capabilities and the countries to which it supplies goods

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Ideal. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Ideal. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Ideal, where there exist only two delineated age groups, the median household income is $30,556 for householders within the 25 to 44 years age group, compared to $22,083 for the 65 years and over age group.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Ideal median household income by age. You can refer the same here

The Alaska Geochemical Database Version 4.0 (AGDB4) contains geochemical data compilations in which each geologic material sample has one best value determination for each analyzed species, greatly improving efficiency of use. The relational database includes historical geochemical data archived in the USGS National Geochemical Database (NGDB), the Atomic Energy Commission National Uranium Resource Evaluation (NURE) Hydrogeochemical and Stream Sediment Reconnaissance databases, and the Alaska Division of Geological and Geophysical Surveys (DGGS) Geochemistry database. Data from the U.S. Bureau of Mines and the U.S. Bureau of Land Management are included as well. The data tables describe historical and new quantitative and qualitative geochemical analyses. The analytical results were determined by 120 laboratory and field analytical methods performed on 416,333 rock, sediment, soil, mineral, heavy-mineral concentrate, and oxalic acid leachate samples. The samples were collected as ...

Success.ai’s B2B Company Data API provides direct, on-demand access to in-depth firmographic insights for over 70 million companies worldwide. Covering key attributes such as industry classification, company size, revenue ranges, and geographic footprints, this API ensures your sales, marketing, and strategic planning efforts are informed by accurate, continuously updated, and AI-validated data.

Whether you’re evaluating new markets, refining your ICP (Ideal Customer Profile), or enhancing ABM campaigns, Success.ai’s B2B Company Data API delivers the intelligence needed to target the right organizations at the right time. Supported by our Best Price Guarantee, this solution empowers you to make data-driven decisions and gain a competitive edge in a complex global marketplace.

Why Choose Success.ai’s B2B Company Data API?

1. Comprehensive Global Coverage

   • Access profiles of over 70 million companies spanning multiple industries, sectors, and regions.
   • Confidently enter new markets, identify niche segments, and discover growth opportunities across the globe.

2. AI-Validated Accuracy

   • Benefit from 99% data accuracy through AI-driven validation, ensuring every insight is reliable and actionable.
   • Trust that your decisions are backed by current, high-quality information, minimizing risk and guesswork.

3. Continuous Data Updates

   • Real-time refreshes keep you aligned with evolving market conditions, organizational changes, and industry dynamics.
   • Always operate with the most relevant data, ensuring your outreach and strategies remain timely and impactful.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage for all applications.

Data Highlights:

• 70M+ Verified Company Profiles: Leverage a vast database to discover new accounts, refine targeting, and guide strategic initiatives.
• Firmographic Insights: Gain visibility into industry classifications, company sizes, revenue tiers, and regional footprints.
• Continuously Updated: Stay current with market expansions, mergers, and new entrants, seizing opportunities early.
• Best Price Guarantee: Optimize ROI by accessing top-tier data at the most competitive prices on the market.

Key Features of the B2B Company Data API:

1. On-Demand Data Enrichment

   • Instantly enhance CRM records or marketing databases with verified company profiles, eliminating guesswork.
   • Maintain data hygiene and ensure teams always work with accurate, current intelligence.

2. Advanced Filtering and Query Capabilities

   • Query the API to segment companies by industry, location, employee count, or revenue.
   • Zero in on the precise accounts that match your ideal customer profile, improving conversion and engagement rates.

3. Real-Time Validation and Reliability

   • Rely on continuous data refreshes and AI validation for impeccable data integrity.
   • Reduce wasted effort and improve decision-making backed by trustworthy insights.

4. Scalable and Flexible Integration

   • Seamlessly integrate the API into CRMs, analytics tools, or marketing platforms, streamlining workflows.
   • Adjust parameters as market conditions evolve, ensuring your data needs always match your strategic priorities.

Strategic Use Cases:

1. Account-Based Marketing (ABM)

   • Identify high-value accounts aligned with your ICP using firmographic data.
   • Deliver personalized outreach, increasing engagement, deal size, and overall ABM success.

2. Market Expansion and Product Launches

   • Enter new markets with confidence by identifying industry leaders, rising players, and underserved segments.
   • Validate product-market fit and refine go-to-market strategies using data-driven insights.

3. Competitive Benchmarking and Analysis

   • Monitor industry landscapes and track competitor growth to anticipate trends and pivot strategies proactively.
   • Stay ahead of market shifts by aligning solutions with evolving customer needs.

4. Partner and Supplier Sourcing

   • Discover reliable partners, suppliers, or distributors based on firmographic filters.
   • Strengthen supply chains, reduce risks, and ensure stable growth through informed partner selection.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality B2B company data at industry-leading prices, maximizing ROI for data-driven initiatives.

2. Seamless Integration

   • Incorporate the API into existing workflows easily, eliminating manual data imports and siloed processes.

3. Data Accuracy with AI Validation

   • Rely on 99% accuracy to guide data-driven choices, refine targeting, and improve conversion rates.

4. Customizable and Scalable Solutions

   • Tailor datasets to focus on particular industries, regions, or company sizes, adapting as your goals shift.

Additi...

[Note: Integrated as part of FoodData Central, April 2019.] The database consists of several sets of data: food descriptions, nutrients, weights and measures, footnotes, and sources of data. The Nutrient Data file contains mean nutrient values per 100 g of the edible portion of food, along with fields to further describe the mean value. Information is provided on household measures for food items. Weights are given for edible material without refuse. Footnotes are provided for a few items where information about food description, weights and measures, or nutrient values could not be accommodated in existing fields. Data have been compiled from published and unpublished sources. Published data sources include the scientific literature. Unpublished data include those obtained from the food industry, other government agencies, and research conducted under contracts initiated by USDA’s Agricultural Research Service (ARS). Updated data have been published electronically on the USDA Nutrient Data Laboratory (NDL) web site since 1992. Standard Reference (SR) 28 includes composition data for all the food groups and nutrients published in the 21 volumes of "Agriculture Handbook 8" (US Department of Agriculture 1976-92), and its four supplements (US Department of Agriculture 1990-93), which superseded the 1963 edition (Watt and Merrill, 1963). SR28 supersedes all previous releases, including the printed versions, in the event of any differences. Attribution for photos: Photo 1: k7246-9 Copyright free, public domain photo by Scott Bauer Photo 2: k8234-2 Copyright free, public domain photo by Scott Bauer Resources in this dataset:Resource Title: READ ME - Documentation and User Guide - Composition of Foods Raw, Processed, Prepared - USDA National Nutrient Database for Standard Reference, Release 28. File Name: sr28_doc.pdfResource Software Recommended: Adobe Acrobat Reader,url: http://www.adobe.com/prodindex/acrobat/readstep.html Resource Title: ASCII (6.0Mb; ISO/IEC 8859-1). File Name: sr28asc.zipResource Description: Delimited file suitable for importing into many programs. The tables are organized in a relational format, and can be used with a relational database management system (RDBMS), which will allow you to form your own queries and generate custom reports.Resource Title: ACCESS (25.2Mb). File Name: sr28db.zipResource Description: This file contains the SR28 data imported into a Microsoft Access (2007 or later) database. It includes relationships between files and a few sample queries and reports.Resource Title: ASCII (Abbreviated; 1.1Mb; ISO/IEC 8859-1). File Name: sr28abbr.zipResource Description: Delimited file suitable for importing into many programs. This file contains data for all food items in SR28, but not all nutrient values--starch, fluoride, betaine, vitamin D2 and D3, added vitamin E, added vitamin B12, alcohol, caffeine, theobromine, phytosterols, individual amino acids, individual fatty acids, or individual sugars are not included. These data are presented per 100 grams, edible portion. Up to two household measures are also provided, allowing the user to calculate the values per household measure, if desired.Resource Title: Excel (Abbreviated; 2.9Mb). File Name: sr28abxl.zipResource Description: For use with Microsoft Excel (2007 or later), but can also be used by many other spreadsheet programs. This file contains data for all food items in SR28, but not all nutrient values--starch, fluoride, betaine, vitamin D2 and D3, added vitamin E, added vitamin B12, alcohol, caffeine, theobromine, phytosterols, individual amino acids, individual fatty acids, or individual sugars are not included. These data are presented per 100 grams, edible portion. Up to two household measures are also provided, allowing the user to calculate the values per household measure, if desired.Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/ Resource Title: ASCII (Update Files; 1.1Mb; ISO/IEC 8859-1). File Name: sr28upd.zipResource Description: Update Files - Contains updates for those users who have loaded Release 27 into their own programs and wish to do their own updates. These files contain the updates between SR27 and SR28. Delimited file suitable for import into many programs.

Key Value Databases Market Outlook

The global Key Value Databases market size was valued at approximately USD 5.2 billion in 2023 and is anticipated to reach around USD 12.5 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 10.1% during the forecast period. The growth of this market is primarily driven by the rapid digital transformation initiatives across various industries, increasing adoption of NoSQL databases in big data and real-time web applications, and the growing need for high-performance data management solutions.

One of the critical growth factors propelling the Key Value Databases market is the burgeoning volume of unstructured data. Industries ranging from retail to healthcare are increasingly generating significant volumes of unstructured data that traditional relational databases struggle to manage efficiently. Key value databases, with their flexible schema and high performance, offer a robust solution for handling this unstructured data. Additionally, the increasing trend of adopting microservices architecture and distributed systems is encouraging organizations to leverage key value databases to ensure scalability and agility in their applications.

Another significant factor contributing to market growth is the rising demand for real-time data processing capabilities. In the era of digital business, enterprises are focusing on real-time analytics to make swift and informed decisions. Key value databases facilitate rapid data retrieval and low-latency transactions, making them ideal for applications such as fraud detection in BFSI, personalized marketing in retail, and patient monitoring in healthcare. This capability is crucial for businesses seeking competitive advantage through quick and responsive data-driven strategies.

Additionally, the adoption of cloud computing technologies has immensely benefited the key value databases market. Cloud platforms offer scalable infrastructure and services that can dynamically adjust to the demands of the database workloads. As businesses increasingly migrate their operations to the cloud to achieve cost-efficiency, flexibility, and resilience, the deployment of key value databases on cloud platforms has witnessed a significant surge. This shift is further bolstered by advancements in cloud-native technologies and the growing popularity of Database-as-a-Service (DBaaS) offerings.

Document Databases play a crucial role in the modern data landscape, especially as organizations seek more flexible and scalable solutions for managing semi-structured and unstructured data. Unlike traditional relational databases, document databases store data in a format that is more aligned with the way applications naturally handle data, such as JSON or XML. This allows for more intuitive data modeling and easier integration with modern application development frameworks. As businesses increasingly adopt agile methodologies and microservices architectures, the demand for document databases is on the rise, providing a robust foundation for applications that require dynamic schema evolution and rapid development cycles.

Regionally, North America currently holds the largest market share in the key value databases market, driven by the presence of major technology companies and extensive adoption of advanced data management solutions. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period. The rapid digitalization across emerging economies, increasing investments in IT infrastructure, and the growing number of SMEs adopting key value databases are key factors contributing to this growth. Europe, Latin America, and the Middle East & Africa are also witnessing steady adoption of key value databases as organizations in these regions increasingly recognize the benefits of efficient and flexible data management.

Type Analysis

The key value databases market is segmented by type into in-memory and persistent databases. In-memory databases store data directly in the main memory (RAM), which allows for faster data retrieval and processing compared to traditional disk-based storage. The demand for in-memory key value databases is growing rapidly, driven by applications that require high-speed data access and real-time processing capabilities. Industries such as finance, telecommunications, and online gaming are increasingly adopting in-memory databases to meet their performance requirements.

Persistent key value

Customs records of are available for IDEAL TRADING FOODS LLC. Learn about its Importer, supply capabilities and the countries to which it supplies goods

1444 Global import shipment records of Household Good with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Success.ai delivers a sophisticated array of contact data services tailored to enhance online marketing and support comprehensive data enrichment initiatives. Our resources encompass a wide range of essential information including email addresses, phone numbers, B2B contacts, and direct CEO connections, alongside expansive B2C data, facilitating robust competitive intelligence and sales data enrichment.

• Targeted Email Address Data: Access a vast array of email information pivotal for executing precise online marketing campaigns and engaging with key business stakeholders.
• Comprehensive Phone Number Data: Utilize our extensive phone data for telemarketing, enhancing direct contact strategies, and improving customer interaction.
• Dynamic B2B and B2C Contact Data: With our detailed B2B and B2C contact data, tailor your outreach and ensure your messaging reaches the right audience, from C-suite executives to crucial consumer segments.
• Exclusive CEO Contact Information: Directly reach top-tier executives with our verified CEO contact data, ideal for high-level networking and partnership development.

Strategic Use Cases Supported by Our Data:

• Online Marketing: Leverage our email and phone data to drive targeted online marketing strategies, enhancing lead generation and customer engagement.
• Data Enrichment: Refine your database accuracy with our data enrichment services, ensuring your business decisions are based on the most current and comprehensive data.
• B2B Data Enrichment: Specifically tailor your B2B databases to improve the quality of business contact data, enhancing outreach efforts and operational efficiency.
• Sales Data Enrichment: Elevate your sales strategies with enriched contact data that increases conversion rates and sales success.
• Competitive Intelligence: Gain a competitive edge by using our detailed contact data to gather intelligence on market trends, competitor activities, and industry shifts.

Why Choose Success.ai?

• Unmatched Data Precision: We ensure a 99% accuracy rate across all data points through rigorous validation processes, supporting your strategic needs with reliable data.
• Global Reach with Tailored Solutions: Our data spans across global markets but is finely tuned to meet local business requirements, ensuring you have access to pertinent information wherever your business operates.
• Affordable Pricing with Best Value: We are committed to providing the most cost-effective data solutions on the market, ensuring you receive the best value for your investment without compromising on quality.
• Ethical Data Practices: Compliance with international data privacy standards is at the heart of what we do, ensuring that your use of our data is both responsible and legally sound.

Get Started with Success.ai Today: Partner with Success.ai to harness the full potential of high-quality contact data. Whether you're aiming to enhance your online marketing efforts, enrich your sales databases, or gain strategic competitive intelligence, our comprehensive data solutions are designed to propel your business to new heights.

Contact us to discover how we can customize our offerings to suit your specific business requirements.

If data in a geospatial collaborative are like ingredients in a restaurant, then your authoritative content is the crème de la crème.Sharing authoritative content comes with certain responsibilities. Although data governance is necessary for collaborative GIS, it needn't be burdensome. This Guide provides a simple set of Best Practices to help partners maximize the effectiveness of shared authoritative data (making it extra delicious!). Think of it as your recipe for success.For quick reference, download the checklist version of these Best Practices for Authoritative Data Providers. (Word document)

This dataset is randomly collected from an Iranian telecom company's database over a period of 12 months. Sourced from the UC Irvine Machine Learning Repository: https://archive.ics.uci.edu/

Success.ai provides a robust, enterprise-grade solution with access to over 150 million verified employee profiles, encompassing comprehensive B2B and B2C contact data. This extensive database is crafted to assist organizations in targeting key decision-makers, enhancing recruitment processes, and powering dynamic B2B marketing initiatives. Our offerings are designed to meet diverse industry needs, from small businesses to large enterprises, ensuring global coverage and up-to-date information.

• Global Coverage: With data spanning 195 countries, Success.ai delivers profiles that include crucial contact details like email addresses, phone numbers, and physical addresses.
• Tailored Data Solutions: Adapted to your specific business needs, our data sets include B2B contact data, phone number data, email address data, address data, and small business contact data.
• Real-Time Accuracy: Continuously updated to maintain the utmost accuracy and relevance, helping you make informed decisions swiftly.
• Compliance and Ethics: Our data collection and processing are fully compliant with global standards, ensuring ethical usage across all business practices.
• Strategic Use Cases: Ideal for targeted lead generation, personalized marketing campaigns, strategic sales outreach, and comprehensive market research.

Why Choose Success.ai?

• Best Price Guarantee: We offer competitive pricing, ensuring you get the best value for comprehensive contact data.
• Advanced Data Validation: Utilize our AI technology for a 99% accuracy rate across all data points.
• Comprehensive Reach: From local businesses to global enterprises, access detailed contact data for over 150 million profiles.
• Customized Data Delivery: Receive data tailored to your requirements, directly integrated into your systems without the need for complex platform management.

Key Use Cases:

• B2B Marketing: Leverage accurate email and phone data to execute precise marketing campaigns.
• Sales Enhancement: Utilize verified contact details to reach decision-makers and close deals more effectively.
• Recruitment Efficiency: Access up-to-date contact information to source and recruit top talent globally.
• Customer Insights: Enhance your understanding of customer bases with detailed address and demographic data.
• Network Expansion: Utilize comprehensive B2C contact data to broaden your consumer outreach and engagement.

Success.ai stands as your premier partner in harnessing the power of detailed contact data to drive business growth and operational efficiency. Our commitment to delivering tailored, accurate, and ethically sourced data ensures that you can engage with your target audience effectively and responsibly.

Get started with Success.ai today and experience how our B2B and B2C contact data solutions can transform your business strategies and lead you to achieve measurable success.

No one beats us on price. Period.

Code and Data of "A Non-Equilibrium Dissipation Parameter and the Ideal Glass",just run "p4.py"

This paper explains the size and value "anomalies" in stock returns using an economically motivated two-beta model. We break the beta of a stock with the market portfolio into two components, one reflecting news about the market's future cash flows and one reflecting news about the market's discount rates. Intertemporal asset pricing theory suggests that the former should have a higher price of risk; thus beta, like cholesterol, comes in "bad" and "good" varieties. Empirically, we find that value stocks and small stocks have considerably higher cash-flow betas than growth stocks and large stocks, and this can explain their higher average returns. The poor performance of the capital asset pricing model (CAPM) since 1963 is explained by the fact that growth stocks and high-past-beta stocks have predominantly good betas with low risk prices.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

description: The Alaska Geochemical Database Version 2.0 (AGDB2) contains new geochemical data compilations in which each geologic material sample has one "best value" determination for each analyzed species, greatly improving speed and efficiency of use. Like the Alaska Geochemical Database (AGDB) before it, the AGDB2 was created and designed to compile and integrate geochemical data from Alaska in order to facilitate geologic mapping, petrologic studies, mineral resource assessments, definition of geochemical baseline values and statistics, environmental impact assessments, and studies in medical geology. This relational database, created from the Alaska Geochemical Database (AGDB) that was released in 2011, serves as a data archive in support of present and future Alaskan geologic and geochemical projects, and contains data tables in several different formats describing historical and new quantitative and qualitative geochemical analyses. The analytical results were determined by 85 laboratory and field analytical methods on 264,095 rock, sediment, soil, mineral and heavy-mineral concentrate samples. Most samples were collected by U.S. Geological Survey (USGS) personnel and analyzed in USGS laboratories or, under contracts, in commercial analytical laboratories. These data represent analyses of samples collected as part of various USGS programs and projects from 1962 through 2009. In addition, mineralogical data from 18,138 nonmagnetic heavy mineral concentrate samples are included in this database. The AGDB2 includes historical geochemical data originally archived in the USGS Rock Analysis Storage System (RASS) database, used from the mid-1960s through the late 1980s and the USGS PLUTO database used from the mid-1970s through the mid-1990s. All of these data are currently maintained in the National Geochemical Database (NGDB). Retrievals from the NGDB were used to generate most of the AGDB data set. These data were checked for accuracy regarding sample location, sample media type, and analytical methods used. This arduous process of reviewing, verifying and, where necessary, editing all USGS geochemical data resulted in a significantly improved Alaska geochemical dataset. USGS data that were not previously in the NGDB because the data predate the earliest USGS geochemical databases, or were once excluded for programmatic reasons, are included here in the AGDB2 and will be added to the NGDB. The AGDB2 data provided here are the most accurate and complete to date, and should be useful for a wide variety of geochemical studies. The AGDB2 data provided in the linked database may be updated or changed periodically.; abstract: The Alaska Geochemical Database Version 2.0 (AGDB2) contains new geochemical data compilations in which each geologic material sample has one "best value" determination for each analyzed species, greatly improving speed and efficiency of use. Like the Alaska Geochemical Database (AGDB) before it, the AGDB2 was created and designed to compile and integrate geochemical data from Alaska in order to facilitate geologic mapping, petrologic studies, mineral resource assessments, definition of geochemical baseline values and statistics, environmental impact assessments, and studies in medical geology. This relational database, created from the Alaska Geochemical Database (AGDB) that was released in 2011, serves as a data archive in support of present and future Alaskan geologic and geochemical projects, and contains data tables in several different formats describing historical and new quantitative and qualitative geochemical analyses. The analytical results were determined by 85 laboratory and field analytical methods on 264,095 rock, sediment, soil, mineral and heavy-mineral concentrate samples. Most samples were collected by U.S. Geological Survey (USGS) personnel and analyzed in USGS laboratories or, under contracts, in commercial analytical laboratories. These data represent analyses of samples collected as part of various USGS programs and projects from 1962 through 2009. In addition, mineralogical data from 18,138 nonmagnetic heavy mineral concentrate samples are included in this database. The AGDB2 includes historical geochemical data originally archived in the USGS Rock Analysis Storage System (RASS) database, used from the mid-1960s through the late 1980s and the USGS PLUTO database used from the mid-1970s through the mid-1990s. All of these data are currently maintained in the National Geochemical Database (NGDB). Retrievals from the NGDB were used to generate most of the AGDB data set. These data were checked for accuracy regarding sample location, sample media type, and analytical methods used. This arduous process of reviewing, verifying and, where necessary, editing all USGS geochemical data resulted in a significantly improved Alaska geochemical dataset. USGS data that were not previously in the NGDB because the data predate the earliest USGS geochemical databases, or were once excluded for programmatic reasons, are included here in the AGDB2 and will be added to the NGDB. The AGDB2 data provided here are the most accurate and complete to date, and should be useful for a wide variety of geochemical studies. The AGDB2 data provided in the linked database may be updated or changed periodically.