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Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Business-Plan-Database.
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Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Database-Mart-LLC.
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India Number of Registered Company data was reported at 1,171,230.000 Unit in 2018. This records a decrease from the previous number of 1,172,583.000 Unit for 2017. India Number of Registered Company data is updated yearly, averaging 152,036.000 Unit from Mar 1957 (Median) to 2018, with 62 observations. The data reached an all-time high of 1,172,583.000 Unit in 2017 and a record low of 26,682.000 Unit in 1962. India Number of Registered Company data remains active status in CEIC and is reported by Ministry of Corporate Affairs. The data is categorized under Global Database’s India – Table IN.OC001: Registered Company: At Work.
This data contains Corporation and Other Business Entity Name information for each entity. Each record contains a current or previous name for an entity in the electronic database. The records include the Department of State ID number, Date Filed, Name Type and Name Status.
Unlike traditional ESG data sets that are focused on annual ratings and periodic corporate disclosure, Event Registry monitors company ESG behavior at the speed of current events detected in global news. We utilize AI to analyze over 150,000 sources and uncover ESG risks and opportunities hidden in unstructured news and PR articles. We identify company events leveraging the 26 ESG categories defined by the Sustainability Accounting Standards Board (SASB) and 17 Sustainable Development Goals (SDGs). The data feed covers 200.000+ companies with up to 5 years of history.
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Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Database-Marketing.
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This dataset provides a structured and machine-readable register of all companies recorded by the Companies Registration Office (CRO) in Ireland. It includes a daily snapshot of company records, covering both currently registered companies and historical records of dissolved or closed entities. The dataset aligns with the European Union’s Open Data Directive (Directive (EU) 2019/1024) and the Implementing Regulation (EU) 2023/138, which designates company and company ownership data as a high-value dataset. Updated daily, it ensures timely access to corporate information and is available for bulk download and API access under the Creative Commons Attribution 4.0 (CC BY 4.0) licence, allowing unrestricted reuse with appropriate attribution. By increasing transparency, accountability, and economic innovation, this dataset supports public sector initiatives, research, and digital services development. .hidden { display: none }
U.S. Government Workshttps://www.usa.gov/government-works
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The Organic INTEGRITY Database is a certified organic operations database that contains up-to-date and accurate information about operations that may and may not sell as organic, deterring fraud, increases supply chain transparency for buyers and sellers, and promotes market visibility for organic operations. Only certified operations can sell, label, or represent products as organic, unless exempt or excluded from certification. The INTEGRITY database improves access to certified organic operation information by giving industry and public users an easier way to search for data with greater precision than the formerly posted Annual Lists of Certified Operations. You can find a certified organic farm or business, or search for an operation with specific characteristics such as:
The status of an operation: Certified, Surrendered, Revoked, or Suspended The scopes for which an operation is certified: Crops, Livestock, Wild Crops, or Handling
The organic commodities and services that operations offer. A new, more structured classification system (sample provided) will help you find more of what you’re looking for and details about the flexible taxonomy can be found in the INTEGRITY Categories and Items list. Resources in this dataset:Resource Title: Organic INTEGRITY Database. File Name: Web Page, url: https://organic.ams.usda.gov/integrity/Default.aspx Find a specific certified organic farm or business, or search for an operation with specific characteristics. Listings come from USDA-Accredited Certifying Agents. Historical Annual Lists of Certified Organic Operations and monthly snapshots of the full data set are available for download on the Data History page. Only certified operations can sell, label or represent products as organic, unless exempt or excluded from certification.
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?
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:
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Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Action-Figure-Database.
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Japan JP: Number of Listed Domestic Companies: Total data was reported at 3,598.000 Unit in 2017. This records an increase from the previous number of 3,535.000 Unit for 2016. Japan JP: Number of Listed Domestic Companies: Total data is updated yearly, averaging 1,766.000 Unit from Dec 1975 (Median) to 2017, with 43 observations. The data reached an all-time high of 3,598.000 Unit in 2017 and a record low of 1,389.000 Unit in 1978. Japan JP: Number of Listed Domestic Companies: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Financial Sector. Listed domestic companies, including foreign companies which are exclusively listed, are those which have shares listed on an exchange at the end of the year. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies, such as holding companies and investment companies, regardless of their legal status, are excluded. A company with several classes of shares is counted once. Only companies admitted to listing on the exchange are included.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.
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Intagible-Assets Time Series for Shanghai New Centurion Network Information Technology Co Ltd. Shanghai New Centurion Network Information Technology Co., Ltd. provides IT data center operation and maintenance products and services in China. The company offers ZnAiops intelligent operation and management, automated operation and maintenance management, agile ITSM service management, unified intelligent monitoring, big data log analysis, application release management, CMDB IT asset management, and intelligent middle platform, as well as operation and maintenance brain: and panoramic observation solutions. It also provides database services and products, such as planning and designing, construction implementation, migration and launch, operation and maintenance optimization, and data application services for mainstream commercial databases, open source databases, and domestic databases; stream and batch data center; data asset management; ZnSQL heterogenous database intelligent management, data governance, NewSQL database cloud management, and SQL audit management platform; data visualization; and Xinchuang database solutions. In addition, the company is involved in the provision of smart operation and maintenance products and implementation services; third-party operation services for smart operation and maintenance software; traditional software products and development; and sale of original hardware, and software and services. The company was founded in 2006 and is headquartered in Shanghai, China.
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Comprehensive franchisor dataset covering every US franchise brand with corporate ownership, business history, executive contacts, financials such as average unit revenue, P&Ls (when available), continuity and turnover metrics.
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Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Saccharomyces-Genome-Database.
https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer
Browse LSEG's I/B/E/S Estimates, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.
Journal of Political Economy Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Political Economy is a monthly peer-reviewed academic journal published by the University of Chicago Press. Established by James Laurence Laughlin in 1892, it covers both theoretical and empirical economics. In the past, the journal published quarterly from its introduction through 1905, ten issues per volume from 1906 through 1921, and bimonthly from 1922 through 2019. The editor-in-chief is Magne Mogstad (University of Chicago). Abstract & Indexing Articles that appear in the Journal of Political Economy are indexed in the following abstracting and indexing services: Ulrich's Periodicals Directory (Print) Ulrichsweb (Online) J-Gate HINARI Association for Asian Studies Bibliography of Asian Studies (Online) Business Index CABI Abstracts on Hygiene and Communicable Diseases (Online) Agricultural Economics Database CAB Abstracts (Commonwealth Agricultural Bureaux) Dairy Science Abstracts (Online) Environmental Impact Global Health Leisure Tourism Database Nutrition and Food Sciences Database Rural Development Abstracts (Online) Soil Science Database Soils and Fertilizers (Online) Tropical Diseases Bulletin (Online) World Agricultural Economics and Rural Sociology Abstracts (Online) Clarivate Analytics Current Contents Social Sciences Citation Index Web of Science De Gruyter Saur Dietrich's Index Philosophicus IBZ - Internationale Bibliographie der Geistes- und Sozialwissenschaftlichen Zeitschriftenliteratur Internationale Bibliographie der Rezensionen Geistes- und Sozialwissenschaftlicher Literatur EBSCOhost America: History and Life ATLA Religion Database (American Theological Library Association) Biography Index: Past and Present (H.W. Wilson) Book Review Digest Plus (H.W. Wilson) Business Source Alumni Edition (Full Text) Business Source Complete (Full Text) Business Source Corporate (Full Text) Business Source Corporate Plus (Full Text) Business Source Elite (Full Text) Business Source Premier (Full Text) Business Source Ultimate (Full Text) Current Abstracts EBSCO MegaFILE (Full Text) EBSCO Periodicals Collection (Full Text) EconLit with Full Text (Full Text) ERIC (Education Resources Information Center) GeoRef Historical Abstracts (Online) Humanities & Social Sciences Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Source Humanities Source Ultimate Index to Legal Periodicals Retrospective: 1908-1981 (H.W. Wilson) Legal Source Library & Information Science Source MLA International Bibliography (Modern Language Association) OmniFile Full Text Mega (H.W. Wilson) Poetry & Short Story Reference Center Political Science Complete Public Affairs Index Readers' Guide Retrospective: 1890-1982 (H.W. Wilson) Russian Academy of Sciences Bibliographies Social Sciences Abstracts Social Sciences Full Text (H.W. Wilson) Social Sciences Index Retrospective: 1907-1983 (H.W. Wilson) SocINDEX SocINDEX with Full Text TOC Premier Women's Studies International Elsevier BV GEOBASE Scopus ERIC (Education Resources Information Center) ERIC (Education Resources Information Center) Gale Academic ASAP Academic OneFile Advanced Placement Government and Social Studies Book Review Index Plus Business & Company ProFile ASAP Business ASAP Business ASAP International Business Collection Business Insights: Essentials Business Insights: Global Business, Economics and Theory Collection Expanded Academic ASAP General Business File ASAP General OneFile General Reference Center Gold General Reference Centre International InfoTrac Custom InfoTrac Student Edition MLA International Bibliography (Modern Language Association) Popular Magazines US History Collection H.W. Wilson Social Sciences Index National Library of Medicine PubMed OCLC ArticleFirst Periodical Abstracts Sociological Abstracts (Online), Selective Ovid EconLit ERIC (Education Resources Information Center) GeoRef ProQuest ABI/INFORM Collection ABI/INFORM Global (American Business Information) ABI/INFORM Research (American Business Information) Business Premium Collection EconLit ERIC (Education Resources Information Center) GeoRef Health Management Database Health Research Premium Collection Hospital Premium Collection International Bibliography of the Social Sciences, Core MLA International Bibliography (Modern Language Association) PAIS Archive Professional ABI/INFORM Complete Professional ProQuest Central ProQuest 5000 ProQuest 5000 International ProQuest Central ProQuest Pharma Collection Research Library Social Science Database Social Science Premium Collection Sociological Abstracts (Online), Selective Worldwide Political Science Abstracts, Selective SCIMP (Selective Cooperative Index of Management Periodicals) Taylor & Francis Educational Research Abstracts Online Wiley-Blackwell Publishing Asia Asian - Pacific Economic Literature (Online)
https://library.unimelb.edu.au/Digital-Scholarship/restrictive-licence-templatehttps://library.unimelb.edu.au/Digital-Scholarship/restrictive-licence-template
The MPPDA Digital Archives consists of a database of the extant records of the General Correspondence files of the Motion Picture Producers and Distributors of America, Inc., covering the period from 1922 to 1939. Established in 1922, the MPPDA was the trade association for the motion picture industry, and included all the major companies producing and distributing motion pictures in the United States in its membership. The association was popularly known as the Hays Office, after its first President, Will H. Hays, who remained office until 1945. Hays was a leading Republican party politician, who resigned from President Warren Harding's Cabinet to take up the MPPDA position. After Hays' retirement, the association was renamed the Motion Picture Association of America.The documents in the MPPDA ís General Correspondence files are an immensely rich source of information about the history of the motion picture industry. They describe the organization and operation of the industry's trade association, and include extensive correspondence and other documentation relating to industry policy and public relations, distributor-exhibitor relations, censorship and self-regulation. The great majority of this material is unavailable from other sources.Grants:* 1997, 1998, MPPDA Archive digitisation and database development. Flinders University Establishment Grant to digitise the microfilm of the MPPDA Archive and develop a publicly accessible database.* 2000, 2001, Reforming the Movies: A Political History of the American Cinema, 1908 - 1940. ARC A00104524Date coverage: 1922 - 1939Location: United States
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Background: Air pollution is speculated to affect the reproductive health of women. However, a longitudinal association between exposure to air pollution and dysmenorrhea has not been identified, which this study aimed to examine this point.Methods: Two nationwide databases, namely the Taiwan Air Quality Monitoring database and the Taiwan National Health Research Institutes database were linked. Women with a history of dysmenorrhea (International Classification of Disease, Ninth Revision, Clinical Modification code 625.3) before 2000 were excluded. All participants were followed from January 1, 2000 until the diagnosis of dysmenorrhea, withdrawal from National Health Insurance, or December 31, 2013. Furthermore, air pollutants were categorized into quartiles with three cut-off points (25th, 50th, and 75th percentiles). The Cox regression model was used to calculate the hazard ratios of dysmenorrhea.Results: This study enrolled 296,078 women. The mean concentrations of yearly air pollutants were 28.2 (±12.6) ppb for nitric oxides (NOx), 8.91 (±7.93) ppb for nitric oxide (NO), 19.3 (±5.49) ppb for nitrogen dioxide (NO2), 0.54 (±0.18) ppm for carbon monoxide (CO), and 31.8 (±6.80) μg/m3 for PM2.5. In total, 12,514 individuals developed dysmenorrhea during the 12-year follow-up. Relative to women exposed to Q1 concentrations of NOx, women exposed to Q4 concentrations exhibited a significantly higher dysmenorrhea risk [adjusted hazard ratio (aHR)= 27.9, 95% confidence interval (CI) = 21.6–31.3]; similarly higher risk was found for exposure to NO (aHR = 16.7, 95% CI = 15.4–18.4) and NO2 (aHR = 33.1, 95% CI = 30.9–37.4). For CO, the relative dysmenorrhea risk in women with Q4 level exposure was 28.7 (95% CI = 25.4–33.6). For PM2.5, women at the Q4 exposure level were 27.6 times (95% CI = 23.1–29.1) more likely to develop dysmenorrhea than those at the Q1 exposure level.Conclusion: Our results showed that women would have higher dysmenorrhea incidences while exposure to high concentrations of NO, NO2, NOx, CO, and PM2.5.
Success.ai’s Private Company Data Solutions offer businesses access to over 28 million verified company profiles, delivering detailed insights into private company data across multiple industries. Our solution includes firmographic data and business location data for companies of all sizes, from large enterprises to small businesses. Whether you're seeking small business contact data or company funding data, Success.ai’s company data solutions empower businesses with the accuracy and depth they need to drive B2B sales, marketing, and research initiatives.
At Success.ai, we offer tailored B2B datasets to meet specific business requirements. With our white-glove service, you’ll receive curated datasets customized to fit your needs, without the hassle of managing data platforms yourself. Our solution is GDPR-compliant, AI-validated with a 99% accuracy rate, and offers the best price guarantee on the market.
Why choose Success.ai?
Our database includes comprehensive insights into company structures, employee counts, key technologies, and company funding data. Whether you’re targeting companies by business location or looking for detailed firmographic data, Success.ai’s datasets ensure you have all the data you need to drive your strategy.
Comprehensive data points:
Company Name LinkedIn URL Company Domain Company Description Business Location: Full details down to the city, state, and country Company Industry Employee Count Technologies Used Funding Information: Total funding and the latest funding dates
Maximize your sales potential by targeting decision-makers and building targeted account lists using Success.ai’s B2B contact data and company profiles. Our datasets are ideal for account-based marketing (ABM), investment research, market analysis, and CRM enrichment. Success.ai’s company data provides sales and marketing teams with the actionable insights they need to scale their efforts efficiently.
Key Use Cases:
With Success.ai, you’ll benefit from our best price guarantee, industry-leading accuracy, and white-glove service. We specialize in private company data, small business contact data, and business location data, providing comprehensive solutions for B2B marketing, sales, and research teams. Whether you need firmographic data or insights on company funding, our real-time datasets will help you stay ahead of the competition.
Get started with Success.ai today and take advantage of our price match guarantee, ensuring you receive the best possible deal on high-quality company data. Contact us to receive your custom dataset and transform your business with real-time insights.
Bytemine offers a comprehensive Alumni Contact Data solution covering all major colleges and universities across the United States. Designed for teams that need accurate, scalable, and multi-dimensional alumni information, our database includes both historical and current alumni records enriched with verified contact details and career insights.
Whether you’re building alumni engagement programs, fundraising campaigns, talent pipelines, or marketing outreach initiatives, our alumni dataset enables you to connect with graduates at every stage of their career. Each contact record is enriched with key data points such as name, graduation year, degree, university attended, current job title, employer, location, work email, personal email, mobile number, and more.
Bytemine’s alumni data includes:
Coverage across all US colleges and universities Verified work and personal emails Direct mobile numbers Historical alumni data for past graduates Current data for recent graduates and active professionals Job title, employer, industry, seniority, and location data Education details including major, degree, and graduation year
This dataset is ideal for:
University alumni relations and advancement teams Fundraising and donor development Career services and job placement teams Recruiting firms and HR tech platforms SaaS tools and marketplaces building alumni networks Marketing and sales teams targeting professionals by educational background EdTech and continuing education providers targeting past students
Access is available via a searchable web platform or API, allowing you to query alumni records, filter by graduation year, field of study, employer, location, or other attributes, and export lists for outreach or integration into your CRM or product.
Our data is sourced through direct licensing from educational databases, employment platforms, and verified third-party aggregators. All data is validated for accuracy and updated regularly to reflect current career paths and contact channels. Historical data allows you to connect with long-graduated professionals, while real-time updates ensure you’re reaching alumni in their most recent roles.
Bytemine’s Alumni Contact Data is trusted by educational institutions, nonprofit organizations, recruitment firms, and technology platforms looking to strengthen alumni engagement, drive fundraising success, and expand outreach to educated professionals.
Whether you need to build an alumni community, launch a fundraising campaign, or recruit from a targeted university background, Bytemine provides the data infrastructure to make it happen.
https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Business-Plan-Database.