14 datasets found
  1. Biotech Pharma and Research Information Database Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Biotech Pharma and Research Information Database Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/biotech-pharma-and-research-information-database-data-package/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package consists of bioresearch monitoring information system (BMIS) dataset, directory of the different biotech and biopharmaceutical and pharmaceutical companies in the United States and the European Union, establishment registration database, drug wholesale distributor and third-party logistics provider reporting database, establishment inspections conducted by FDA, and FDA post-marketing requirements and commitments searchable database.

  2. Superior 3Rd Party Logistics In Ca Importer/Buyer Data in USA, Superior 3Rd...

    • seair.co.in
    Updated Apr 15, 2025
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    Seair Exim Solutions (2025). Superior 3Rd Party Logistics In Ca Importer/Buyer Data in USA, Superior 3Rd Party Logistics In Ca Imports Data [Dataset]. https://www.seair.co.in/us-import/i-superior-3rd-party-logistics-in-ca.aspx
    Explore at:
    .text/.csv/.xml/.xls/.binAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Seair Exim Solutions
    Area covered
    United States
    Description

    Find details of Superior 3Rd Party Logistics In Ca Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

  3. d

    B2B Live Contact Data | 5M+ High Quality UK B2B Contacts

    • datarade.ai
    .csv, .xls, .txt
    Updated Jul 18, 2023
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    1 Stop Data (2023). B2B Live Contact Data | 5M+ High Quality UK B2B Contacts [Dataset]. https://datarade.ai/data-products/b2b-live-contact-data-5m-high-quality-uk-b2b-contacts-1-stop-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 18, 2023
    Dataset authored and provided by
    1 Stop Data
    Area covered
    United Kingdom
    Description

    From our comprehensive UK Data Lake, we proudly present 5M+ high-quality UK decision-makers and influencers.

    Take your ABM strategy to the next level, build a strong pipeline and close deals by laser targeting key decision-makers and influencers based on their department, job functions, job responsibilities, interest areas and expertise, then utilise essential prospect information, including verified work email addresses and business phone and social links.

    Our data is sourced directly from executives, businesses, official sources and registries, standardised, de-duped, and verified, and then processed through vigorous compliance procedures for GDPR/PECR on a legitimate interest basis and RTBI etc. This results in a highly accurate single source of quality and compliant B2B data.

    It is with our B2B Live Data Lake that we can enrich your CRM data, supply new prospect data, verify leads, and provide you with a custom dataset tailored to your target audience specifications. We also cater for big data licensing to software providers and agencies that intend to supply our data to their customers and use it in their software solutions.

    and much more

    Why Choose 1 Stop Data?

    • We offer our clients a unique, single source of quality and compliant data.
    • We don't rely on 3rd party vendors.
    • We utilise extensive verification processes to help ensure phone numbers and emails are accurate and connect to the right person.
    • We are budget-friendly and our team are highly experienced.

    Products and Services:

    The oscar4.io web platform for self-service data on demand Bulk data feeds Data hygiene, standardisation, cleansing and enrichment Know Your Business (KYB)

    Keywords:

    B2B,Prospect Data,Validated Work Emails,Personal Emails,Email Enrichment,Company Data,Lead Enrichment,Data Enhancement,Account Based Marketing (ABM),Customer Data,Phone Enrichment,LinkedIn URL,Market Intelligence,Business Intelligence,Data Append,Contact Data,Lead Generation,360-Degree Customer View,Data Cleansing,Lead Data,Email and Phone Validation,Data Augmentation,Segmentation,Data Enrichment,Email Marketing,Data Intelligence,Direct Marketing,Customer Insights,Audience Targeting,Audience Generation,Mobile Phone,B2B Data Enrichment,Social Advertising,Due Diligence,B2B Advertising,Audience Insights,B2B Lead Retargeting,Contact Information,Demographic Data,Consumer Data Enrichment,People-Based Marketing,Contact Data Enrichment,Customer Data Insights,Prospecting,Sales Intelligence,Predictive Analytics,Email Address Validation,Company Data Enrichment,Audience Intelligence,Cold Outreach,Analytics,Marketing Data Enrichment,Customer Acquisition,Data Cleansing,B2C Data,People Data,Professional Information,Recruiting and HR,KYC,B2B List Validation,Lead Information,Sales Prospecting,B2B Sales,B2B Data,Lead Lists,Contact Validation,Competitive Intelligence,Customer Data Enrichment,Identity Resolution,Identity Validation,Data Science,B2C Data Enrichment,B2C,Lead Data Enrichment,Social Media Data.

  4. HTTP Client Hint Data Set

    • kaggle.com
    zip
    Updated May 27, 2024
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    H-BRS - Data and Application Security Group (2024). HTTP Client Hint Data Set [Dataset]. https://www.kaggle.com/datasets/dasgroup/http-client-hints-dataset
    Explore at:
    zip(1144843980 bytes)Available download formats
    Dataset updated
    May 27, 2024
    Authors
    H-BRS - Data and Application Security Group
    License

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

    Description

    Login Pages HTTP Client Hints Dataset

    HTTP client hint crawling data of all login pages of the 8M Tranco list websites.

    This data set contains the crawled Accept-CH HTTP header values on all Tranco-list-related login pages from August 2022 to December 2023. You can use the data set to reproduce our study results regarding the client hint usage on the Web.

    We crawled the data from three different continents (North America: Johnstown, Ohio, USA; Europe: Frankfurt and Biere, Germany; Asia: Singapore) and two different Internet Service Providers (ISP), which were Amazon Web Services (AWS) and Deutsche Telekom (DT).

    Overview

    You can find the crawling data inside the crawl_data_redacted folder of this repository. It is subdivided into our four different crawling regions, which are also the subfolders:

    • eu_otc: Crawling data from Biere, Germany (Europe), using the DT ISP.
    • eu_aws: Crawling data from Frankfurt, Germany (Europe), using the AWS ISP.
    • ap_aws: Crawling data from Singapore (Asia), using the AWS ISP.
    • us_aws: Crawling data from Johnstown, Ohio, USA (North America), using the AWS ISP.

    Each folder includes the following files:

    • crawl_data_login_urls_only.csv: Contains the responses from all crawled login URLs
    • crawl_data_clustered_third_party_urls_only.csv: Contains the responses from requests to third party URLs that were initiated by the login URLs
    • crawl_data_trackerlist_urls_only.csv: Contains the responses from requests to third-party URLs that were identified as trackers and initiated by the login URLs.

    General

    Each data set file contains the following columns:

    ColumnData TypeDescriptionExample
    dateTimestampPoint in time when the URL was crawled2023-03-03 14:45:25.525
    login_urlStringUniform Resource Locator (URL) of the login URL that should be crawledhttps://www.example.com/login.html
    login_url_hostnameStringHostname belonging to the crawled login URLwww.example.com
    urlStringThe actual URL that was crawled. In case it differs from login_url, it indicates a third party request.https://www.example.com/index.html
    url_hostnameStringHostname belonging to the URLwww.example.com
    Accept-CH Values (many columns)IntegerThe column name shows the corresponding value that was present in the Accept-CH HTTP Header (e.g., sec-ch-ua-platform). Its value shows whether this value was present (1) or not (0)1 - 0

    Data Creation

    We used the Tranco List from June 21st, 2022 and visited all 8M hostnames of this list with a crawler bot to identify their login pages. We then crawled the login pages on a monthly basis and recorded the Accept-CH HTTP header sent by each website. For technical reasons, we had crawling gaps of one (October 2022) and two months (October/November 2023). However, the impact should be minimal (see Publication).

    Publication

    You can find more details on our conducted study in the following journal article:

    A Privacy Measure Turned Upside Down? Investigating the Use of HTTP Client Hints on the Web
    Stephan Wiefling, Marian Hönscheid, and Luigi Lo Iacono.
    19th International Conference on Availability, Reliability and Security (ARES '24), Vienna, Austria

    Bibtex

    ...
    
  5. p

    RCS Data Indonesia

    • listtodata.com
    .csv, .xls, .txt
    Updated Jul 17, 2025
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    List to Data (2025). RCS Data Indonesia [Dataset]. https://listtodata.com/rcs-data-indonesia
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 17, 2025
    Authors
    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
    Indonesia
    Variables measured
    phone numbers, Email Address, full name, Address, City, State, gender,age,income,ip address,
    Description

    RCS Data Indonesia is a special tool that provides accurate information about RCS users. You can easily filter this data by gender, age, and relationship status. This tool lets you find exactly what you want. We follow GDPR rules to protect user privacy and keep personal information safe. Our team checks every entry carefully. We remove incorrect data, so you always see updated and accurate information. With this database, you will have the latest details about this data user, all organized easily. Moreover, RCS Data Indonesia is a collection of user data from trusted sources. It gets regular updates, so you won’t worry about old information. This database works well for businesses, researchers, and anyone looking for clear details. This database keeps everything simple and effective while following privacy rules. You can trust this tool to help you learn more about these data users easily. Indonesia RCS data stores data about RCS services. It helps mobile carriers, service providers, and third-party apps manage and analyze communication. Thus, it improves the RCS ecosystem’s efficiency. This data gives you 100% correct information about this data user. We can assist you in understanding or finding what you need. It has a replacement guarantee, so you will always get valid, up-to-date data. Each user shares their information with permission. This means you won’t have privacy issues. With this data, you can do great work on your projects or businesses. However, Indonesia RCS data follows high standards. It makes sure each piece is clear and correct. This data works well for businesses or individuals who need accurate information. You can connect effectively and responsibly with these users. This resource is really helpful for your research or projects. It gives you the information you need safely. Overall, this data is reliable and useful. It helps you understand RCS users better.

  6. o

    European TPP Registry

    • openbankingtracker.com
    html
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    Open Banking Tracker, European TPP Registry [Dataset]. https://www.openbankingtracker.com/tpp-directory
    Explore at:
    htmlAvailable download formats
    Dataset authored and provided by
    Open Banking Tracker
    Description

    Database of 434 licensed Third Party Providers under PSD2 regulation

  7. Phor USA Import Data, US Phor Importers / Buyers List

    • seair.co.in
    Updated May 4, 2024
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    Seair Exim Solutions (2024). Phor USA Import Data, US Phor Importers / Buyers List [Dataset]. https://www.seair.co.in/us-import/product-phor/i-superior-3rd-party-logistics/e-anpario-plc.aspx
    Explore at:
    .text/.csv/.xml/.xls/.binAvailable download formats
    Dataset updated
    May 4, 2024
    Dataset authored and provided by
    Seair Exim Solutions
    Area covered
    United States
    Description

    View details of Phor import data and shipment reports in US with product description, price, date, quantity, major us ports, countries and US buyers/importers list, overseas suppliers/exporters list.

  8. Amazon third-party seller share 2007-2025

    • statista.com
    Updated Feb 6, 2026
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    Statista (2026). Amazon third-party seller share 2007-2025 [Dataset]. https://www.statista.com/statistics/259782/third-party-seller-share-of-amazon-platform/
    Explore at:
    Dataset updated
    Feb 6, 2026
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Amazon not only boasts a hugely successful online retail platform but also a thriving digital marketplace, which is seamlessly integrated with the main retail shopping experience. That being said, in the fourth quarter of 2025, ** percent of paid units were sold by third-party sellers. 1P and 3P Amazon sellers There are many ways of selling on Amazon. Firstly there are first-party (1P) vendor sales, where vendors send their inventory to Amazon, who in turn control the pricing and include “ships from and sold by Amazon.com” on product listings. The benefits of 1P sales on Amazon are wholesale purchases from Amazon, priority selling and brand trust through Amazon’s credibility as a seller. Amazon also permits third-party (3P) sales on its marketplace. Both individuals and professional sellers can sell on Amazon Marketplace. When it comes to order fulfillment, possible options are Fulfillment by Amazon (FBA) and Fulfillment by Merchant (FBM). Items are displayed as “sold by MERCHANT and Fulfilled by Amazon / Fulfilled by MERCHANT”. 3P sales are a popular strategy for sellers to make up for certain 1P sales disadvantages, namely improved margins through better pricing control, more favorable payment terms and less reliance on the relationship with Amazon. Amazon seller revenues This magic formula has ultimately cashed in for Amazon, which has seen its net revenues multiply in recent years. In 2024, the e-commerce giant generated approximately *** billion dollars in third-party seller services, an increase of about ** billion dollars from the previous year. While these figures are the product of orders throughout the year, a significant chunk is attributable to special offer and discount days. According to a survey, Black Friday is the shopping event driving the largest sales increase for Amazon sellers, followed by two of the company's own events, Prime Day and Amazon Summer Sale. In the context of the coronavirus pandemic, Amazon Prime Day played a particularly decisive role for small and medium-sized businesses around the world, many of which had to turn to online sales overnight in order to survive.

  9. Email Hosting Services Market Growth Analysis - Size and Forecast 2025-2029...

    • technavio.com
    pdf
    Updated May 8, 2025
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    Technavio (2025). Email Hosting Services Market Growth Analysis - Size and Forecast 2025-2029 | Technavio [Dataset]. https://www.technavio.com/report/email-hosting-services-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 8, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Description

    snapshot-tab-pane Email Hosting Services Market Size 2025-2029The email hosting services market size is forecast to increase by USD 56.34 billion, at a CAGR of 23.1% between 2024 and 2029.The market is witnessing significant growth, driven by the increasing demand for cloud-based applications. This trend is particularly prominent in industries such as finance, where email hosting services are essential for secure communication and data protection. However, keeping pace with evolving customer demands poses a challenge for market participants. As businesses continue to prioritize digital transformation and seek more efficient and customized email solutions, service providers must adapt quickly to remain competitive.This dynamic market landscape calls for strategic planning and agility from companies seeking to capitalize on opportunities and navigate challenges effectively.What will be the Size of the Email Hosting Services Market during the forecast period?Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report. Request Free SampleEmail hosting services continue to evolve, adapting to the ever-changing needs of businesses across various sectors. These services encompass a range of features, from email clients and collaboration tools to disaster recovery and email archiving. VPS hosting, SMTP servers, mobile access, and pricing models are seamlessly integrated, providing flexibility and customization. Disaster recovery and data backup ensure business continuity, while email security safeguards sensitive information. PCI DSS compliance and integration with third-party applications enhance security and streamline workflows. Virtual mailboxes, webmail access, and spam filtering improve user experience and productivity. Collaboration tools foster teamwork, while email templates and list management simplify email marketing efforts.Email automation and API integrations enable efficient communication and workflow processes. Subscription plans cater to diverse business sizes and needs. The email hosting market is characterized by continuous innovation, with new features and applications unfolding regularly. Staying informed and adaptable to these evolving trends is crucial for businesses seeking to maximize the potential of their email hosting services.How is this Email Hosting Services Industry segmented?The email hosting services industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.Application Large enterpriseSmall and medium-sized enterprisesType WebmailHosted emailDeployment Private cloudPublic cloudHybrid cloudGeography North America USCanadaEurope FranceGermanyItalyUKAPAC ChinaIndiaJapanSouth KoreaRest of World (ROW) By Application InsightsThe large enterprise segment is estimated to witness significant growth during the forecast period.Email hosting services cater to the communication needs of large enterprises, which generate a substantial volume of emails daily for both internal and external communication. These advanced solutions address the complex structures and diverse requirements of massive organizations, offering top-tier security features, compliance tools, and seamless integration with other enterprise software. Top email hosting services prioritize calendar integrations, ensuring schedules align across teams. Click-through rates are closely monitored to gauge email campaign success. DNS management and email delivery rate are essential for maintaining brand reputation and ensuring email deliverability. Dedicated and managed hosting options provide customizable solutions for large enterprises, while customer support and data backup ensure business continuity.Email forwarding and technical support facilitate efficient communication, while email security, spam filtering, and virus scanning protect sensitive information. Third-party integrations, such as collaboration tools and contact management systems, streamline workflows. Pricing models vary, with options for subscription plans, list management, and email marketing services. Security audits and SSL certificates ensure data privacy, while API integrations and email automation enhance productivity. Cloud hosting and disaster recovery solutions offer scalability and business continuity, while email migration and IMAP servers enable seamless transition to new platforms. Virtual mailboxes, webmail access, and SMTP servers cater to the needs of remote and traveling employees.Mobile access and email templates simplify communication on the go. Collaboration tools, such as email archiving and VPS hosting, enable efficient teamwork a

  10. m

    Data Center Power Companies Matrix by Mordor Intelligence

    • mordorintelligence.com
    Updated Jan 7, 2026
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    Mordor Intelligence (2026). Data Center Power Companies Matrix by Mordor Intelligence [Dataset]. https://www.mordorintelligence.com/industry-reports/global-data-center-power-market-industry/companies
    Explore at:
    Dataset updated
    Jan 7, 2026
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/terms-and-conditionshttps://www.mordorintelligence.com/terms-and-conditions

    Description

    Our comprehensive proprietary performance metrics of key Data Center Power players beyond traditional revenue and ranking measures

  11. g

    Trust, Privacy & Data Sharing

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +1more
    Updated Mar 27, 2019
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    Keusch, Florian (2019). Trust, Privacy & Data Sharing [Dataset]. http://doi.org/10.4232/1.13248
    Explore at:
    (489921), (345057), (401430)Available download formats
    Dataset updated
    Mar 27, 2019
    Dataset provided by
    GESIS Data Archive
    GESIS search
    Authors
    Keusch, Florian
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    Apr 14, 2018 - Nov 11, 2018
    Description

    The goal of this study was to measure the attitudes towards data sharing and data-collecting organizations before and after the introduction of the EU General Data Protection regulations (GDPR) among people in Germany. The data come from a three-wave split-panel web survey among people 18 years and older in Germany who were recruited from a German nonprobability online panel. In April 2018 (before the GDPR came into effect), 2,095 participants completed the Wave 1 questionnaire on device ownership, social media use, trust in different data collecting organizations, willingness to share data, general trust, awareness of and knowledge about the GDPR, and privacy concerns. In July and in October 2018 (after the GDPR came into effect), respondents from the earlier waves were invited to participate in a second and a third web survey that repeated most of the questions from the first wave. In addition to participants from the earlier waves, fresh respondents were also invited to Waves 2 and 3. A total of 2,046 (Wave 2) and 2,117 (Wave 3) respondents completed the questionnaire in the subsequent waves. 1,269 participated in all three waves.

    Topics:

    Wave 1

    Possession of smartphone, mobile phone, PC, tablet and/or e-book reader; social media use: account with user name and password at selected providers (Google, Facebook, Twitter, LinkedIn, Xing); trust in institutions (Google, Facebook, Bundesamt für Statistik, Universitätsforscher) with regard to the protection of personal data and reasons for this assessment; probability scale with regard to the protection of personal data at the above-mentioned institutions and reasons for this assessment; agreement with the import of personal data of the social insurance institutions to the survey data; general personal trust; awareness of the EU General Data Protection regulations (GDPR) ; knowledge test: goals of the GDPR (open); feeling of invaded privacy by the following institutions: Google, Facebook, government agencies, university researchers; general privacy concerns.

    Wave 2

    Possession of smartphone, mobile phone, PC, tablet and/or e-book reader; social media use: account with user name and password with selected providers (Google, Facebook, Twitter, LinkedIn, Xing); trust in institutions (Google, Facebook, Federal Statistical Office, university researchers) with regard to the protection of personal data; general personal trust; awareness of the EU General Data Protection regulations (GDPR); knowledge test: goals of the GDPR (open); consent to the storage of various personal data by Facebook or Google (name, e-mail address, home address, date of birth, telephone number, income, marital status, number of children, current location, Internet browser history, account names from other social media and data received from third parties); feeling of invasion of privacy by the following institutions: Google, Facebook, government agencies, university researchers; general privacy concerns.

    Wave 3

    Possession of smartphone, mobile phone, PC, tablet and/or e-book reader; social media use: account with user name and password at selected providers (Google, Facebook, Twitter, LinkedIn, Xing); trust in institutions (Google, Facebook, Federal Statistical Office, university researchers) with regard to the protection of personal data; general personal trust; awareness of the EU General Data Protection regulations (GDPR); knowledge test: goals of the GDPR (open); concerns about privacy in general; comprehensibility of excerpts of the contents of the EU General Data Protection regulations (GDPR) (resp. on passenger rights in the event of denied boarding and flight delays); estimated popularity of smartphones (proportion of smartphone owners per 100 adult Germans); repetition of the question on trust data collecting organisations (Google, Facebook) with regard to the protection of personal data and general personal trust; readiness for data exchange by Google (or Facebook or the Federal Statistical Office) for research purposes (or for commercial purposes).

    Demography: sex; age (year of birth); federal state; school education; professional qualification.

    Additionally coded was: running number; respondent ID; experimental groups GDPR Info; duration (reaction time in seconds); used device type to complete the questionnaire.

    The questionnaire also included two experiments, one on the effect of GDPR-related information on trust in data collecting organisations and one on the comfort of data shar...

  12. v

    Third, Party Exports from India to Qatar

    • volza.com
    csv
    Updated Dec 2, 2026
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    Volza FZ LLC (2026). Third, Party Exports from India to Qatar [Dataset]. https://www.volza.com/exports-india/india-export-data-of-third-party-to-qatar
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 2, 2026
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Area covered
    Qatar, India
    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    Analyze 24 Third, Party export shipments from India to Qatar till Nov-25. Export data includes Buyers, Suppliers, Pricing, Qty & Contacts.

  13. d

    B2B Live Contact Data | 8M+ High Quality Enhanced US LinkedIn Profiles |...

    • datarade.ai
    .csv, .xls, .txt
    Updated Jul 18, 2023
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    1 Stop Data (2023). B2B Live Contact Data | 8M+ High Quality Enhanced US LinkedIn Profiles | Email Address, LinkedIn URL, Phone, Postal, Job Title + More [Dataset]. https://datarade.ai/data-products/b2b-live-contact-data-8m-high-quality-enhanced-us-linkedin-1-stop-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 18, 2023
    Dataset authored and provided by
    1 Stop Data
    Area covered
    United States
    Description

    From our comprehensive US Data Lake, we proudly present 8M+ high-quality enhanced US decision-makers and influencers.

    Take your ABM strategy to the next level, build a strong pipeline and close deals by laser targeting key decision-makers and influencers based on their department, job functions, job responsibilities, interest areas and expertise, then utilise essential prospect information, including verified work email addresses and business phone and social links.

    Our data is sourced directly from executives, businesses, official sources and registries, standardised, de-duped, and verified, and then processed through vigorous compliance procedures for GDPR/PECR on a legitimate interest basis and RTBI etc. This results in a highly accurate single source of quality and compliant B2B data.

    It is with our B2B Live Data Lake that we can enrich your CRM data, supply new prospect data, verify leads, and provide you with a custom dataset tailored to your target audience specifications. We also cater for big data licensing to software providers and agencies that intend to supply our data to their customers and use it in their software solutions.

    and much more

    Why Choose 1 Stop Data?

    • We offer our clients a unique, single source of quality and compliant data.
    • We don't rely on 3rd party vendors.
    • We utilise extensive verification processes to help ensure phone numbers and emails are accurate and connect to the right person.
    • We are budget-friendly and our team are highly experienced.

    Products and Services:

    The oscar4.io web platform for self-service data on demand Bulk data feeds Data hygiene, standardisation, cleansing and enrichment Know Your Business (KYB)

    Keywords:

    B2B,Prospect Data,Validated Work Emails,Personal Emails,Email Enrichment,Company Data,Lead Enrichment,Data Enhancement,Account Based Marketing (ABM),Customer Data,Phone Enrichment,LinkedIn URL,Market Intelligence,Business Intelligence,Data Append,Contact Data,Lead Generation,360-Degree Customer View,Data Cleansing,Lead Data,Email and Phone Validation,Data Augmentation,Segmentation,Data Enrichment,Email Marketing,Data Intelligence,Direct Marketing,Customer Insights,Audience Targeting,Audience Generation,Mobile Phone,B2B Data Enrichment,Social Advertising,Due Diligence,B2B Advertising,Audience Insights,B2B Lead Retargeting,Contact Information,Demographic Data,Consumer Data Enrichment,People-Based Marketing,Contact Data Enrichment,Customer Data Insights,Prospecting,Sales Intelligence,Predictive Analytics,Email Address Validation,Company Data Enrichment,Audience Intelligence,Cold Outreach,Analytics,Marketing Data Enrichment,Customer Acquisition,Data Cleansing,B2C Data,People Data,Professional Information,Recruiting and HR,KYC,B2B List Validation,Lead Information,Sales Prospecting,B2B Sales,B2B Data,Lead Lists,Contact Validation,Competitive Intelligence,Customer Data Enrichment,Identity Resolution,Identity Validation,Data Science,B2C Data Enrichment,B2C,Lead Data Enrichment,Social Media Data.

  14. d

    Audience Data | 330M+ Global Devices | Audience Targeting & Advertising |...

    • datarade.ai
    .json, .csv
    Updated Oct 1, 2024
    + more versions
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    Cite
    DRAKO (2024). Audience Data | 330M+ Global Devices | Audience Targeting & Advertising | API Delivery [Dataset]. https://datarade.ai/data-products/drako-audience-data-usa-canada-330m-devices-segment-drako
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset authored and provided by
    DRAKO
    Area covered
    Canada, United States
    Description

    DRAKO is a Mobile Location Audience Data provider with a programmatic trading desk specialising in geolocation analytics and programmatic advertising. Through our customised approach, we offer business and consumer insights as well as addressable audiences for advertising.

    Mobile Location Data can be meaningfully transformed into Audience Data when used in conjunction with other dataset. Our expansive POI Data allows us to segment users by visitation to major brands and retailers as well as categorizes them into syndicated segments. Beyond POI visits, our proprietary Home Location Model determines residents of geographic areas such as Designated Market Areas, Counties, or States. Relatedly, our Home Location Model also fuels our Geodemographic Census Data segments as we are able to determine residents of the smallest census units. Additionally, we also have audiences of: ticketed event and venue visitors; survey data; and retail data.

    All of our Audience Data is 100% deterministic in that it only includes high-quality, real visits to locations as defined by a POIs satellite imagery buildings contour. We never use a radius when building an audience unless requested.

    Overview of our Syndicated Audience Data Segments: - Brand/POI segments (specific named stores and locations) - Categories (behavioural segments - revealed habits) - Census demographic segments (HH income, race, religion, age, family structure, language, etc.,) - Events segments (ticketed live events, conferences, and seminars) - Resident segments (State/province, CMAs, DMAs, city, county, sub-county) - Political segments (Canadian Federal and Provincial, US Congressional Upper and Lower House, US States, City elections, etc.,) - Survey Data (Psychosocial/Demographic survey data) - Retail Data (Receipt/transaction data)

    All of our syndicated segments are customizable. That means you can limit them to people within a certain geography, remove employees, include only the most frequent visitors, define your own custom lookback, or extend our audiences using our Home, Work, and Social Extensions.

    In addition to our syndicated segments, we’re also able to run custom queries return to you all the Mobile Ad IDs (MAIDs) seen at in a specific location (address; latitude and longitude; or WKT84 Polygon) or in your defined geographic area of interest (political districts, DMAs, Zip Codes, etc.,)

    Beyond just returning all the MAIDs seen within a geofence, we are also able to offer additional customizable advantages: - Average precision between 5 and 15 meters - CRM list activation + extension - Extend beyond Mobile Location Data (MAIDs) with our device graph - Filter by frequency of visitations - Home and Work targeting (retrieve only employees or residents of an address) - Home extensions (devices that reside in the same dwelling from your seed geofence) - Rooftop level address geofencing precision (no radius used EVER unless user specified) - Social extensions (devices in the same social circle as users in your seed geofence) - Turn analytics into addressable audiences - Work extensions (coworkers of users in your seed geofence)

    Data Compliance: All of our Audience Data is fully CCPA compliant and 100% sourced from SDKs (Software Development Kits), the most reliable and consistent mobile data stream with end user consent available with only a 4-5 day delay. This means that our location and device ID data comes from partnerships with over 1,500+ mobile apps. This data comes with an associated location which is how we are able to segment using geofences.

    Data Quality: In addition to partnering with trusted SDKs, DRAKO has additional screening methods to ensure that our mobile location data is consistent and reliable. This includes data harmonization and quality scoring from all of our partners in order to disregard MAIDs with a low quality score.

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John Snow Labs (2021). Biotech Pharma and Research Information Database Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/biotech-pharma-and-research-information-database-data-package/
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Biotech Pharma and Research Information Database Data Package

US And EU Biopharmaceutical Companies;US And EU Pharmaceutical Companies;Establishment Registration Status;Bioresearch Health Monitoring Information System;3PL Contract Wholesale Distributor And Third-Party Logistics Providers Reporting

Explore at:
csvAvailable download formats
Dataset updated
Jan 20, 2021
Dataset authored and provided by
John Snow Labs
Description

This data package consists of bioresearch monitoring information system (BMIS) dataset, directory of the different biotech and biopharmaceutical and pharmaceutical companies in the United States and the European Union, establishment registration database, drug wholesale distributor and third-party logistics provider reporting database, establishment inspections conducted by FDA, and FDA post-marketing requirements and commitments searchable database.

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