28 datasets found
  1. T

    Lead - Price Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 1, 2011
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    TRADING ECONOMICS (2011). Lead - Price Data [Dataset]. https://tradingeconomics.com/commodity/lead
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Sep 1, 2011
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jul 5, 1993 - Aug 1, 2025
    Area covered
    World
    Description

    Lead rose to 1,974.78 USD/T on August 1, 2025, up 0.07% from the previous day. Over the past month, Lead's price has fallen 4.22%, and is down 2.38% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lead - values, historical data, forecasts and news - updated on August of 2025.

  2. T

    LME Index - Price Data

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 2, 2025
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    TRADING ECONOMICS (2025). LME Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/lme
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Aug 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jul 2, 1984 - Jul 31, 2025
    Area covered
    World
    Description

    LME Index fell to 4,124.80 Index Points on July 31, 2025, down 1.11% from the previous day. Over the past month, LME Index's price has fallen 2.70%, but it is still 6.44% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. LME Index - values, historical data, forecasts and news - updated on August of 2025.

  3. T

    Zinc - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 1, 2025
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    TRADING ECONOMICS (2025). Zinc - Price Data [Dataset]. https://tradingeconomics.com/commodity/zinc
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1960 - Aug 1, 2025
    Area covered
    World
    Description

    Zinc fell to 2,732.85 USD/T on August 1, 2025, down 1.20% from the previous day. Over the past month, Zinc's price has fallen 0.83%, but it is still 3.01% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Zinc - values, historical data, forecasts and news - updated on August of 2025.

  4. Supply Chain Shipment Pricing Dataset

    • catalog.data.gov
    • gimi9.com
    • +2more
    Updated Jul 18, 2024
    + more versions
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    data.usaid.gov (2024). Supply Chain Shipment Pricing Dataset [Dataset]. https://catalog.data.gov/dataset/supply-chain-shipment-pricing-data-07d29
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    Dataset updated
    Jul 18, 2024
    Dataset provided by
    United States Agency for International Developmenthttp://usaid.gov/
    Description

    This dataset provides supply chain health commodity shipment and pricing data. Specifically, the data set identifies Antiretroviral (ARV) and HIV lab shipments to supported countries. In addition, the data set provides the commodity pricing and associated supply chain expenses necessary to move the commodities to countries for use. The dataset has similar fields to the Global Fund's Price, Quality and Reporting (PQR) data. PEPFAR and the Global Fund represent the two largest procurers of HIV health commodities. This dataset, when analyzed in conjunction with the PQR data, provides a more complete picture of global spending on specific health commodities. The data are particularly valuable for understanding ranges and trends in pricing as well as volumes delivered by country. The US Government believes this data will help stakeholders make better, data-driven decisions. Care should be taken to consider contextual factors when using the database. Conclusions related to costs associated with moving specific line items or products to specific countries and lead times by product/country will not be accurate.

  5. T

    Tin - Price Data

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 31, 2025
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    TRADING ECONOMICS (2025). Tin - Price Data [Dataset]. https://tradingeconomics.com/commodity/tin
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1960 - Jul 31, 2025
    Area covered
    World
    Description

    Tin fell to 32,710 USD/T on July 31, 2025, down 1.95% from the previous day. Over the past month, Tin's price has fallen 2.83%, but it is still 9.42% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Tin - values, historical data, forecasts and news - updated on August of 2025.

  6. b

    Car Prices Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Mar 20, 2023
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    Bright Data (2023). Car Prices Dataset [Dataset]. https://brightdata.com/products/datasets/car-prices
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Gain valuable insights into the automotive market with our comprehensive Car Prices Dataset. Designed for businesses, analysts, and researchers, this dataset provides real-time and historical car pricing data to support market analysis, pricing strategies, and trend forecasting.

    Dataset Features

    Vehicle Listings: Access detailed car listings, including make, model, year, trim, and specifications. Ideal for tracking market trends and pricing fluctuations. Pricing Data: Get real-time and historical car prices from multiple sources, including dealerships, marketplaces, and private sellers. Market Trends & Valuations: Analyze price changes over time, compare vehicle depreciation rates, and identify emerging pricing trends. Dealer & Seller Information: Extract seller details, including dealership names, locations, and contact information for lead generation and competitive analysis.

    Customizable Subsets for Specific Needs Our Car Prices Dataset is fully customizable, allowing you to filter data based on vehicle type, location, price range, and other key attributes. Whether you need a broad dataset for market research or a focused subset for competitive analysis, we tailor the dataset to your needs.

    Popular Use Cases

    Market Analysis & Pricing Strategy: Track vehicle price trends, compare competitor pricing, and optimize pricing strategies for dealerships and resellers. Automotive Valuation & Depreciation Studies: Analyze historical pricing data to assess vehicle depreciation rates and predict future values. Competitive Intelligence: Monitor competitor pricing, dealership inventory, and promotional offers to stay ahead in the market. Lead Generation & Sales Optimization: Identify potential buyers and sellers, track demand for specific vehicle models, and enhance sales strategies. AI & Predictive Analytics: Leverage structured car pricing data for AI-driven forecasting, automated pricing models, and trend prediction.

    Whether you're tracking car prices, analyzing market trends, or optimizing sales strategies, our Car Prices Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

  7. Success.ai | LinkedIn Full Dataset – 700M Public Profiles & 70M Companies –...

    • datarade.ai
    Updated Jan 1, 2022
    + more versions
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    Success.ai (2022). Success.ai | LinkedIn Full Dataset – 700M Public Profiles & 70M Companies – Global Dataset – Best Price and Quality Guarantee [Dataset]. https://datarade.ai/data-products/success-ai-linkedin-full-dataset-700m-public-profiles-7-success-ai
    Explore at:
    .json, .csv, .bin, .xml, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2022
    Dataset provided by
    Area covered
    Anguilla, Samoa, Tajikistan, Cambodia, Norfolk Island, Jamaica, Equatorial Guinea, Mali, Holy See, Bulgaria
    Description

    Success.ai’s LinkedIn Data Solutions offer unparalleled access to a vast dataset of 700 million public LinkedIn profiles and 70 million LinkedIn company records, making it one of the most comprehensive and reliable LinkedIn datasets available on the market today. Our employee data and LinkedIn data are ideal for businesses looking to streamline recruitment efforts, build highly targeted lead lists, or develop personalized B2B marketing campaigns.

    Whether you’re looking for recruiting data, conducting investment research, or seeking to enrich your CRM systems with accurate and up-to-date LinkedIn profile data, Success.ai provides everything you need with pinpoint precision. By tapping into LinkedIn company data, you’ll have access to over 40 critical data points per profile, including education, professional history, and skills.

    Key Benefits of Success.ai’s LinkedIn Data: Our LinkedIn data solution offers more than just a dataset. With GDPR-compliant data, AI-enhanced accuracy, and a price match guarantee, Success.ai ensures you receive the highest-quality data at the best price in the market. Our datasets are delivered in Parquet format for easy integration into your systems, and with millions of profiles updated daily, you can trust that you’re always working with fresh, relevant data.

    Global Reach and Industry Coverage: Our LinkedIn data covers professionals across all industries and sectors, providing you with detailed insights into businesses around the world. Our geographic coverage spans 259M profiles in the United States, 22M in the United Kingdom, 27M in India, and thousands of profiles in regions such as Europe, Latin America, and Asia Pacific. With LinkedIn company data, you can access profiles of top companies from the United States (6M+), United Kingdom (2M+), and beyond, helping you scale your outreach globally.

    Why Choose Success.ai’s LinkedIn Data: Success.ai stands out for its tailored approach and white-glove service, making it easy for businesses to receive exactly the data they need without managing complex data platforms. Our dedicated Success Managers will curate and deliver your dataset based on your specific requirements, so you can focus on what matters most—reaching the right audience. Whether you’re sourcing employee data, LinkedIn profile data, or recruiting data, our service ensures a seamless experience with 99% data accuracy.

    • Best Price Guarantee: We offer unbeatable pricing on LinkedIn data, and we’ll match any competitor.
    • Global Scale: Access 700 million LinkedIn profiles and 70 million company records globally.
    • AI-Verified Accuracy: Enjoy 99% data accuracy through our advanced AI and manual validation processes.
    • Real-Time Data: Profiles are updated daily, ensuring you always have the most relevant insights.
    • Tailored Solutions: Get custom-curated LinkedIn data delivered directly, without managing platforms.
    • Ethically Sourced Data: Compliant with global privacy laws, ensuring responsible data usage.
    • Comprehensive Profiles: Over 40 data points per profile, including job titles, skills, and company details.
    • Wide Industry Coverage: Covering sectors from tech to finance across regions like the US, UK, Europe, and Asia.

    Key Use Cases:

    • Sales Prospecting and Lead Generation: Build targeted lead lists using LinkedIn company data and professional profiles, helping sales teams engage decision-makers at high-value accounts.
    • Recruitment and Talent Sourcing: Use LinkedIn profile data to identify and reach top candidates globally. Our employee data includes work history, skills, and education, providing all the details you need for successful recruitment.
    • Account-Based Marketing (ABM): Use our LinkedIn company data to tailor marketing campaigns to key accounts, making your outreach efforts more personalized and effective.
    • Investment Research & Due Diligence: Identify companies with strong growth potential using LinkedIn company data. Access key data points such as funding history, employee count, and company trends to fuel investment decisions.
    • Competitor Analysis: Stay ahead of your competition by tracking hiring trends, employee movement, and company growth through LinkedIn data. Use these insights to adjust your market strategy and improve your competitive positioning.
    • CRM Data Enrichment: Enhance your CRM systems with real-time updates from Success.ai’s LinkedIn data, ensuring that your sales and marketing teams are always working with accurate and up-to-date information.
    • Comprehensive Data Points for LinkedIn Profiles: Our LinkedIn profile data includes over 40 key data points for every individual and company, ensuring a complete understanding of each contact:

    LinkedIn URL: Access direct links to LinkedIn profiles for immediate insights. Full Name: Verified first and last names. Job Title: Current job titles, and prior experience. Company Information: Company name, LinkedIn URL, domain, and location. Work and Per...

  8. National Database of Childcare Prices, [United States], 2008-2018

    • childandfamilydataarchive.org
    ascii, delimited, r +3
    Updated May 22, 2023
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    Brown, Bridget; Branscome, Kenley; ZuWallack, Randal; Landivar, Liana Christin; deWolf, Mark (2023). National Database of Childcare Prices, [United States], 2008-2018 [Dataset]. http://doi.org/10.3886/ICPSR38303.v2
    Explore at:
    r, delimited, spss, stata, sas, asciiAvailable download formats
    Dataset updated
    May 22, 2023
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Brown, Bridget; Branscome, Kenley; ZuWallack, Randal; Landivar, Liana Christin; deWolf, Mark
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38303/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38303/terms

    Time period covered
    Jan 1, 2008 - Dec 31, 2018
    Area covered
    United States
    Description

    The National Database of Childcare Prices (NDCP) provides childcare prices at the county level in the United States. The NDCP is a new data source, and the most comprehensive federal source of childcare prices at the county level in the United States. The NDCP was developed to fill a need for local-level childcare price data, standardized across U.S. states. Most existing sources of childcare price data provide prices at the state level, yet parents must choose childcare providers that are in close proximity to their homes or workplaces. Therefore, state averages are unlikely to be good estimates of the prices parents encounter in the market. State average prices do not reflect the substantial variation in prices from one locale to the next within a state and underestimate prices in urban areas. The NDCP provides data on the price of childcare by children's age groups and care setting (home-based or center-based) at the median and 75th percentile over an 11-year period (2008-2018, inclusive) at the county level. The data were obtained from state Lead Agencies responsible for conducting market rate surveys (MRS) according to Child Care and Development Fund regulations. A MRS is the collection and analysis of prices charged by childcare providers for services in the priced market. All state Lead Agencies must conduct a survey and develop a report on local childcare prices in their state every three years. The Women's Bureau contracted with ICF to obtain reports and data from previously conducted surveys to develop the NDCP. The NDCP standardizes and harmonizes data across years and geographies for about 200 previously-conducted MRS. The NDCP also provides county-level demographic and economic data from the American Community Survey. The accompanying User Guide (U.S. Department of Labor, Women's Bureau National Database of Childcare Prices: Final Report) provides detailed information about the data sources, data collection strategy, standardization and imputation of the data, and data limitations to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices. Appendix A: Data Collection Protocol and Decisions Made During Data Entry Process, Including State Nuances Appendix B: List of Imputations Performed for Each State and Year Appendix C: Initial Price Modes per States' MRS Reports Appendix D: Data Dictionary and Additional Imputation Methodology Appendix E: Making the Database Accessible

  9. Import Export Data | Import, Export & Trade Professionals in Asia | Verified...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Import Export Data | Import, Export & Trade Professionals in Asia | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/import-export-data-import-export-trade-professionals-in-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Lao People's Democratic Republic, Azerbaijan, Brunei Darussalam, Indonesia, India, Kuwait, Syrian Arab Republic, Qatar, Bhutan, Afghanistan
    Description

    Success.ai’s Import Export Data for Import, Export & Trade Professionals in Asia delivers a comprehensive dataset tailored for businesses aiming to connect with key players in Asia’s dynamic trade industry. Covering professionals involved in import/export operations, international logistics, and supply chain management, this dataset provides verified contact details, firmographic insights, and actionable professional data.

    With access to over 700 million verified global profiles and 70 million business datasets, Success.ai ensures your outreach, market research, and trade strategies are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is essential for navigating the complexities of global trade in Asia.

    Why Choose Success.ai’s Import Export Data?

    1. Verified Contact Data for Effective Engagement

      • Access verified work emails, phone numbers, and LinkedIn profiles of trade professionals, logistics experts, and supply chain managers.
      • AI-driven validation ensures 99% accuracy, reducing data gaps and improving communication efficiency.
    2. Comprehensive Coverage of Asian Trade Markets

      • Includes profiles of professionals from key Asian markets such as China, India, Japan, South Korea, and Southeast Asia.
      • Gain insights into regional trade trends, import/export regulations, and supply chain dynamics.
    3. Continuously Updated Datasets

      • Real-time updates capture changes in leadership roles, trade activities, and market expansions.
      • Stay aligned with evolving market conditions and emerging trade opportunities.
    4. Ethical and Compliant

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

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with import/export professionals, logistics managers, and trade consultants across Asia.
    • 70M Business Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic footprints.
    • Contact Details: Gain verified work emails, phone numbers, and business locations for precise targeting.
    • Industry Trends: Understand key import/export opportunities, supply chain challenges, and market dynamics in Asia.

    Key Features of the Dataset:

    1. Professional Profiles in Import/Export and Logistics

      • Identify and engage with trade professionals managing cross-border operations, customs compliance, and supply chain efficiency.
      • Target individuals responsible for vendor selection, international partnerships, and trade negotiations.
    2. Firmographic and Geographic Insights

      • Access data on company structures, trade volumes, and operational hubs in key Asian markets.
      • Pinpoint high-value prospects in established and emerging trade routes for strategic engagement.
    3. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (manufacturing, wholesale, retail), geographic location, or revenue size.
      • Tailor campaigns to address specific trade needs such as market entry, cost optimization, or regulatory compliance.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with trade professionals.

    Strategic Use Cases:

    1. Sales and Business Development

      • Present trade services, logistics solutions, or supply chain optimization tools to import/export managers and trade consultants.
      • Build relationships with procurement teams and logistics managers seeking reliable partners and innovative solutions.
    2. Market Research and Competitive Analysis

      • Analyze trends in Asia’s import/export landscape, including key trade routes, regulatory changes, and logistics challenges.
      • Benchmark against competitors to identify growth opportunities, underserved markets, and emerging needs.
    3. Partnership Development and Trade Collaboration

      • Engage with businesses seeking partnerships for supply chain management, customs compliance, or international expansion.
      • Foster alliances that enhance efficiency, reduce costs, and drive growth in the import/export sector.
    4. Recruitment and Talent Acquisition

      • Target HR professionals and hiring managers recruiting for roles in international trade, logistics, or operations.
      • Provide workforce optimization platforms or training solutions tailored to the trade and logistics industry.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality import/export data at competitive prices, ensuring maximum ROI for your marketing, sales, and trade initiatives.
    2. Seamless Integration

      • Integrate verified trade data into CRM systems, analytics platforms, or marketing tools via APIs or downloadable formats, simplifying workflows and ...
  10. Customer_support_data

    • kaggle.com
    Updated Jun 2, 2025
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    Akash Bommidi (2025). Customer_support_data [Dataset]. https://www.kaggle.com/datasets/akashbommidi/customer-support-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 2, 2025
    Dataset provided by
    Kaggle
    Authors
    Akash Bommidi
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset contains detailed records of customer interactions handled by a customer service team through various communication channels such as inbound calls, outbound calls, and digital touchpoints. It includes over 85,000 entries with information related to the nature of the issue, product categories, agent details, and customer satisfaction scores (CSAT).

    Key features include:

    Issue Metadata: Timestamps for when the issue was reported and responded to.

    Categorization: High-level and sub-level issue categories for better analysis.

    Agent Information: Names, supervisors, managers, shift, and tenure bucket.

    Customer Feedback: CSAT scores and free-text customer remarks.

    Transactional Data:Order IDs, product categories, item prices, and customer city.

    This dataset is ideal for exploratory data analysis (EDA), natural language processing (NLP), time-to-resolution analysis, customer satisfaction prediction, and performance benchmarking of service agents.

    Feature-wise Explanation

    • Unique id: A unique identifier for each customer support ticket. Used for tracking, not used in modeling.
    • channel_name: The communication channel used by the customer (e.g., Email, Chat, Phone), which influences response quality and time.
    • category: Broad classification of the support issue (e.g., Technical, Billing, Account), useful in understanding issue trends.
    • Sub-category: More specific issue label under each category (e.g., "Login Failure" under Technical) to capture granular insights.
    • Customer Remarks: Free-text input from customers about their issue; useful for sentiment analysis or NLP-based features.
    • Order_id: The ID of the order associated with the issue; may not be directly useful unless joined with order metadata.
    • order_date_time: Timestamp of the order; can be used to derive delays or time gaps relative to issue date.
    • Issue_reported at: Time when the customer reported the issue; helps calculate response and resolution delays.
    • issue_responded: Time when the support agent responded; combined with report time to calculate response duration.
    • Survey_response_Date: Date when customer gave the CSAT feedback; useful to understand follow-up timing, but not always predictive.
    • Customer_City: The city where the customer resides; can identify location-based trends or systemic issues.
    • Product_category: The type of product involved in the support ticket; some product types may result in higher or lower CSAT.
    • Item_price: Price of the item involved; higher prices might lead to higher customer expectations and affect satisfaction.
    • connected_handling_time: Total time spent by the agent resolving the issue; excessive durations may signal complexity or inefficiency.
    • Agent_name: Name of the support agent handling the ticket; can be encoded to understand individual performance impact.
    • Supervisor: The agent’s supervisor; useful to analyze team-level trends in CSAT.
    • Manager: The manager overseeing the support process; can help identify management-level influence on support quality.
    • Tenure Bucket: Agent experience group (e.g., 0–6 months, 6–12 months); more experienced agents might resolve issues better.
    • Agent Shift: Time shift during which the case was handled (e.g., Day, Night); night shifts might see different trends in CSAT.
    • CSAT Score (Target Variable): Customer satisfaction score (1 to 5); the main variable we aim to classify using other features.
  11. LinkedIn Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Mar 27, 2025
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    Bright Data (2025). LinkedIn Datasets [Dataset]. https://brightdata.com/products/datasets/linkedin
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

    Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

    Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

    Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

    Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

  12. c

    Supply Chain DataSet

    • cubig.ai
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    CUBIG, Supply Chain DataSet [Dataset]. https://cubig.ai/store/products/307/supply-chain-dataset
    Explore at:
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Privacy-preserving data transformation via differential privacy, Synthetic data generation using AI techniques for model training
    Description

    1) Data Introduction • The Supply Chain DataSet includes a variety of information across the supply chain, including production, inventory, ordering, shipping, sales, suppliers, and transportation of products, which can be used to analyze supply chains and research efficiency in the manufacturing and distribution industries.

    2) Data Utilization (1) Supply Chain DataSet has characteristics that: • This dataset includes a variety of characteristics needed to operate the supply chain, including product type, SKU, price, inventory level, sales, sales, lead time, manufacturing and transportation costs, defect rates, and customer characteristics. (2) Supply Chain DataSet can be used to: • Inventory and Demand Forecast: Data such as inventory, sales volume, and lead time can be used to forecast demand and develop inventory optimization models. • Supply chain efficiency analysis: By analyzing various indicators such as sales, cost, defect rate, and transportation by product, it can be used to improve supply chain operational efficiency and strategize.

  13. US Value Added Resellers

    • dataandsons.com
    csv, zip
    Updated Jun 26, 2018
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    Rank Blade (2018). US Value Added Resellers [Dataset]. https://www.dataandsons.com/categories/lead-generation/us-value-added-resellers
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Jun 26, 2018
    Dataset provided by
    Authors
    Rank Blade
    License

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

    Description

    About this Dataset

    List of 1,000 US-based Value Added Resellers (VARs)

    What you will find below: - Contact Name - Title - Company - Phone - Address - & more

    Category

    Lead Generation

    Keywords

    lead gen,vars,business

    Row Count

    1000

    Price

    $199.00

  14. App Developer Data | B2B Contact Data for IT Professionals Worldwide | 170M...

    • datarade.ai
    Updated Oct 27, 2021
    + more versions
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    Success.ai (2021). App Developer Data | B2B Contact Data for IT Professionals Worldwide | 170M Verified Profiles with Emails & Phone Numbers | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/app-developer-data-b2b-contact-data-for-it-professionals-wo-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Micronesia (Federated States of), Italy, Greece, Eritrea, Lesotho, Syrian Arab Republic, Senegal, Vanuatu, Anguilla, Liechtenstein
    Description

    Success.ai’s B2B Contact Data for IT Professionals Worldwide is an advanced, AI-validated solution designed to help businesses connect with top IT talent and decision-makers globally. With access to over 170 million verified profiles, this dataset includes key contact information such as work emails, phone numbers, and additional professional details, ensuring you can easily engage with IT leaders and specialists across various industries.

    Our comprehensive data is continually updated to ensure accuracy, relevance, and compliance with global standards. Whether you're looking to expand your network, enhance lead generation, or improve recruitment processes, Success.ai’s IT professional database is designed to meet the evolving needs of your business.

    Key Features of Success.ai’s IT Professional Contact Data

    • Global Coverage Across the IT Industry Success.ai offers a diverse range of IT professionals, including but not limited to:

    Software Engineers & Developers: Specialists in coding, programming, and software development. IT Managers & Directors: Decision-makers responsible for IT infrastructure and strategy. Systems Administrators: Experts managing system installations, configurations, and troubleshooting. Cloud Computing Specialists: Professionals focused on cloud storage and infrastructure services. Cybersecurity Experts: IT professionals safeguarding data and systems from cyber threats. IT Consultants & Analysts: Advisers providing strategic recommendations on technology improvements.

    This dataset spans 170M+ verified profiles across more than 250 countries, ensuring you reach the right IT professionals, wherever they are.

    • Verified and Continuously Updated Data

      99% Accuracy: Data is AI-validated to ensure that you are reaching the right contacts with accurate, up-to-date information. Real-Time Updates: Success.ai’s dataset is constantly refreshed, ensuring that the information you receive is always relevant and timely. Global Compliance: Our data collection adheres to GDPR, CCPA, and other data privacy standards, ensuring that your outreach practices are ethical and compliant.

    • Customizable Data Solutions Success.ai provides multiple delivery methods to suit your business needs:

    API Integration: Seamlessly integrate our data into your CRM, marketing automation, or lead-generation systems for real-time updates. Custom Flat Files: Receive highly targeted and segmented datasets, preformatted to your specifications, making integration easy.

    Why Choose Success.ai’s IT Professional Contact Data?

    • Best Price Guarantee We offer the most competitive pricing in the industry, ensuring you get exceptional value for high-quality, verified contact data.

    • Targeted Outreach to IT Professionals Our comprehensive dataset is perfect for precision targeting, making it easier to connect with key IT professionals. With detailed profiles, including work emails and phone numbers, you can engage with decision-makers directly and increase the efficiency of your campaigns.

    • Strategic Use Cases

      Lead Generation: Use our verified contact information to target IT decision-makers and specialists for your lead generation campaigns. Sales Outreach: Reach out to key IT managers, directors, and consultants to promote your product or service and close high-value deals. Recruitment: Source top-tier IT talent with verified contact data for software developers, network administrators, and IT executives. Marketing Campaigns: Run hyper-targeted marketing campaigns for IT professionals globally to promote tech services, job openings, or industry innovations. Business Expansion: Use data-driven insights to expand your global outreach, identifying opportunities and building relationships in untapped markets.

    • Key Data Highlights

      170M+ Verified Profiles of IT professionals worldwide, covering a wide range of roles and industries. 50M Work Emails to help you reach the right IT contacts. 30M Company Profiles with insights on the organizations that these professionals represent. 700M+ LinkedIn Professional Profiles globally, enhancing your ability to access verified IT contacts across various platforms.

    Powerful APIs for Enhanced Functionality

    • Enrichment API Keep your data up to date with our Enrichment API, providing real-time enrichment of your existing contact database. Perfect for businesses that want to maintain accurate and current information about their leads and customers.

    • Lead Generation API Maximize your lead generation campaigns by accessing Success.ai’s vast and verified dataset, which includes work emails and phone numbers for IT professionals worldwide. Our API supports up to 860,000 API calls per day, ensuring scalability for large enterprises.

    • Use Cases for IT Professional Contact Data

    • Lead Generation for IT Solutions Target IT decision-makers, software developers, and cybersecuri...

  15. p

    Oman Number Dataset

    • listtodata.com
    .csv, .xls, .txt
    Updated Jul 17, 2025
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    List to Data (2025). Oman Number Dataset [Dataset]. https://listtodata.com/oman-dataset
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    List to Data
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2025 - Dec 31, 2025
    Area covered
    Oman
    Variables measured
    phone numbers, Email Address, full name, Address, City, State, gender,age,income,ip address,
    Description

    Oman number dataset can be a great element for direct marketing nationwide right now. Also, this Oman number dataset has thousands of active mobile numbers that help to increase sales in the company. Most importantly, you can develop your business by getting many trustworthy B2C customers. Likewise, clients can send you a fast reply if they need it or not. Furthermore, this Oman number dataset is a very essential tool for telemarketing. In other words, you get all these 95% accurate leads at a very cheap price from us. In addition, our List To Data website always follows the full GDPR rules strictly. As such, the return on investment (ROI) will give you satisfaction from the business. Oman phone data is a very powerful contact database that you can get in your budget. Moreover, the Oman phone data is very beneficial for fast business growth through direct marketing. Most importantly, our List To Data assures you that we give verified numbers at an affordable cost. Thus, you can say that, it brings you more profit than your expense. Additionally, the Oman phone data has all the details like name, age, gender, location, and business. Anyway, people can connect with the largest group of customers quickly through it. Nonetheless, people can use these cell numbers without any worry. Lastly, buy it from us as our experts are ready to present the most satisfactory service. Oman phone number list is very helpful for any business and marketing. People can use this Oman phone number list to develop their telemarketing. They can easily contact consumers through direct calls or SMS. In other words, we collect it from authentic sites, so you should buy our packages right now. Furthermore, you can believe this accurate directory to maximize your company’s growth rapidly. Also, we deliver the Oman phone number list in an Excel and CSV file. Actually, the country’s mobile number database will help you in getting more profit than investment. Likewise, the List To Data expert team is ready to help you 24 hours with any necessary details that can help your business. So, buy this telemarketing lead at a very reasonable price to expand sales through B2C customers.

  16. d

    Buy eCommerce Leads | eCommerce Store Owner Database 2025 | 3M+ Contacts |...

    • datarade.ai
    .csv, .xls
    Updated Feb 20, 2022
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    Lead for Business (2022). Buy eCommerce Leads | eCommerce Store Owner Database 2025 | 3M+ Contacts | Contact Direct Email and Mobile Number [Dataset]. https://datarade.ai/data-products/buy-ecommerce-leads-ecommerce-leads-database-ecommerce-le-lead-for-business
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Feb 20, 2022
    Dataset authored and provided by
    Lead for Business
    Area covered
    Kazakhstan, Argentina, Qatar, Finland, Canada, Jordan, Guernsey, Lithuania, United States of America, Maldives
    Description

    • 3M+ Contact Profiles • 5M+ Worldwide eCommerce Brands • Direct Contact Info for Decision Makers • Contact Direct Email and Mobile Number • 15+ eCommerce Platforms • 20+ Data Points • Lifetime Support Until You 100% Satisfied

    Buy eCommerce leads from our eCommerce leads database today. Reach out to eCommerce companies to expand your business. Now is the time to buy eCommerce leads and start running a campaign to attract new customers. We provide current and accurate information that will assist you in achieving your goals.

    Our database is made up of highly valuable and interested leads who are ready to make online purchases. You can always filter our data and choose the database that best meets your needs if you need eCommerce leads based on industry.

    We have millions of eCommerce data ready to go no matter where you are. We’ve acquired hundreds of clients from all over the world over the years and delivered data that they’re happy with.

    We were able to do so by obtaining data from various locations around the world. As a result, our database is widely accessible, and anyone can use it from any location on the planet. Please contact us if you want the best eCommerce leads .

    We sell eCommerce leads that can be filtered by industry. We know what you’re going through and what you’ll need for your next project. As a result, we’ve compiled a list of eCommerce leads that are exactly what you require. With the most potential data we provide, you can grow your business and achieve your business goals. All of our eCommerce leads are generated professionally, with real people – not bots – entering data.

    We’re a leading brand in the industry because we source data from the most well-known platforms, ensuring that the information you receive from us is accurate and reliable. That’s especially true because we verify each and every piece of information in order to provide you with yet another benefit in your life.

    The majority of our customers have had success with the information we’ve provided. That is why they keep contacting us for our services. You can count on our business-to-business eCommerce sales leads. Contact us to work with one of the most effective lead generation companies in the industry, which has already helped thousands of potential members achieve success.

    Every month, we update our eCommerce store sales leads in order to provide our clients with the most accurate data possible. We have a team of professionals who strive for excellence when it comes to gathering the right leads to ensure you get the number of sales you need. Our experts also double-check that all of the sales data we receive is genuine and accurate.

    The accuracy of our eCommerce database is why the majority of our clients choose us. Furthermore, we offer round-the-clock support to provide on-demand solutions. We take care of everything so you can spend less time evaluating our product database and more time becoming one of them.

  17. p

    Trends in Reduced-Price Lunch Eligibility (1999-2023): Lead-deadwood High...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Reduced-Price Lunch Eligibility (1999-2023): Lead-deadwood High School - 01 vs. South Dakota vs. LEAD-Deadwood School District 40-1 [Dataset]. https://www.publicschoolreview.com/lead-deadwood-high-school-01-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Lead-Deadwood School District 40-1, South Dakota, Lead
    Description

    This dataset tracks annual reduced-price lunch eligibility from 1999 to 2023 for Lead-deadwood High School - 01 vs. South Dakota and LEAD-Deadwood School District 40-1

  18. New Domain Names Registered between April 1, 2018 and April 15, 2018 —...

    • dataandsons.com
    csv, zip
    Updated Apr 17, 2018
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    Jason Iverson Consulting (2018). New Domain Names Registered between April 1, 2018 and April 15, 2018 — United States Registrants [Dataset]. https://www.dataandsons.com/data-market/lead-generation/new-domain-names-registered-between-april-1-2018-and-april-15-2018-united-states-registrants
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Apr 17, 2018
    Dataset provided by
    Authors
    Jason Iverson Consulting
    License

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

    Time period covered
    Apr 1, 2018 - Apr 15, 2018
    Area covered
    United States
    Description

    About this Dataset

    For sale are domain names with WHO IS information that were registered between April 1, 2018 and April 15, 2018 by registrants in United States. Domains which obfuscate registrant, administrative, and other WHO IS contact details have been omitted from this dataset.

    The following information is available for download in this dataset:

    • Domain name, Created Date, Updated Date, Expiration Date, Registrar Name
    • Registrant Company, Name, Address, City, State/Province/Other, Postal Code, Country, Email, Phone #, Fax #
    • Administrative Company, Name, Address, City, State/Province/Other, Postal Code, Country, Email, Phone #, Fax #
    • Technical Company, Name, Address, City, State/Province/Other, Postal Code, Country, Email, Phone #, Fax #
    • Billing Company, Name, Address, City, State/Province/Other, Postal Code, Country, Email, Phone #, Fax #
    • NameServer1, NameServer2, NameServer3, NameServer4, - DomainStatus1, DomainStatus2, DomainStatus3, DomainStatus4

    Still unsure about purchasing this dataset? View and Download a free sample dataset of global domain name registrations in the Lead Generation category

    Are you interested in a more targeted domain name registration dataset? Select the "Ask Seller a Question" link, send me a message, and I'll get back to you as soon as I can.

    Category

    Lead Generation

    Keywords

    United-States,newly-registered-domain-names,who-is-data

    Row Count

    173922

    Price

    $20.00

  19. Small Business Contact Data | North American Small Business Owners |...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Small Business Contact Data | North American Small Business Owners | Verified Contact Details from 170M Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/small-business-contact-data-north-american-small-business-o-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    United States
    Description

    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...

  20. p

    Trends in Reduced-Price Lunch Eligibility (2016-2023): Lead Academy vs....

    • publicschoolreview.com
    Updated Nov 2, 2018
    + more versions
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    Public School Review (2018). Trends in Reduced-Price Lunch Eligibility (2016-2023): Lead Academy vs. South Carolina vs. Sc Public Charter School District [Dataset]. https://www.publicschoolreview.com/lead-academy-profile/29607
    Explore at:
    Dataset updated
    Nov 2, 2018
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual reduced-price lunch eligibility from 2016 to 2023 for Lead Academy vs. South Carolina and Sc Public Charter School District

Share
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TRADING ECONOMICS (2011). Lead - Price Data [Dataset]. https://tradingeconomics.com/commodity/lead

Lead - Price Data

Lead - Historical Dataset (1993-07-05/2025-08-01)

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
csv, xml, json, excelAvailable download formats
Dataset updated
Sep 1, 2011
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Jul 5, 1993 - Aug 1, 2025
Area covered
World
Description

Lead rose to 1,974.78 USD/T on August 1, 2025, up 0.07% from the previous day. Over the past month, Lead's price has fallen 4.22%, and is down 2.38% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lead - values, historical data, forecasts and news - updated on August of 2025.

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