Sign Up for a free trial: https://rampedup.io/sign-up-%2F-log-in - 7 Days and 50 Credits to test our quality and accuracy.

These are the fields available within the RampedUp Global dataset.

CONTACT DATA: Personal Email Address - We manage over 115 million personal email addresses Professional Email - We manage over 200 million professional email addresses Home Address - We manage over 20 million home addresses Mobile Phones - 65 million direct lines to decision makers Social Profiles - Individual Facebook, Twitter, and LinkedIn Local Address - We manage 65M locations for local office mailers, event-based marketing or face-to-face sales calls.

JOB DATA: Job Title - Standardized titles for ease of use and selection Company Name - The Contact's current employer Job Function - The Company Department associated with the job role Title Level - The Level in the Company associated with the job role Job Start Date - Identify people new to their role as a potential buyer

EMPLOYER DATA: Websites - Company Website, Root Domain, or Full Domain Addresses - Standardized Address, City, Region, Postal Code, and Country Phone - E164 phone with country code Social Profiles - LinkedIn, CrunchBase, Facebook, and Twitter

FIRMOGRAPHIC DATA: Industry - 420 classifications for categorizing the company’s main field of business Sector - 20 classifications for categorizing company industries 4 Digit SIC Code - 239 classifications and their definitions 6 Digit NAICS - 452 classifications and their definitions Revenue - Estimated revenue and bands from 1M to over 1B Employee Size - Exact employee count and bands Email Open Scores - Aggregated data at the domain level showing relationships between email opens and corporate domains. IP Address -Company level IP Addresses associated to Domains from a DNS lookup

CONSUMER DATA: Education - Alma Mater, Degree, Graduation Date Skills - Accumulated Skills associated with work experience
Interests - Known interests of contact Connections - Number of social connections. Followers - Number of social followers

Download our data dictionary: https://rampedup.io/our-data

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This data set includes information on Do Not Call and robocall complaints reported to the Federal Trade Commission. The data set contains information reported by consumers, including the telephone number originating the unwanted call, the date the complaint was created, the time the call was made, the consumer’s city and state locations reported, the subject of the call, and whether the call was a robocall. None of the information about the reported calls is verified.

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

• Global Coverage: With data spanning 195 countries, Success.ai delivers profiles that include crucial contact details like email addresses, phone numbers, and physical addresses.
• Tailored Data Solutions: Adapted to your specific business needs, our data sets include B2B contact data, phone number data, email address data, address data, and small business contact data.
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Analysis of ‘Do Not Call (DNC) Reported Calls Data 4/6/18 - 4/12/18’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/aa701dbd-d3d9-4316-8e11-0e49c32b078a on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This data set includes information on Do Not Call and robocall complaints reported to the Federal Trade Commission. The data set contains information reported by consumers, including the telephone number originating the unwanted call, the date the complaint was created, the time the call was made, the consumer’s city and state locations reported, the subject of the call, and whether the call was a robocall. None of the information about the reported calls is verified.

--- Original source retains full ownership of the source dataset ---

OpenWeb Ninja's Company Website Contacts Scraper API extracts/scrapes B2B Contact Data such as B2B Email Data, Phone Number Data, and Social Contacts from a website domain in real-time.

The API pulls public data from a company website domain & related sources on the web and returns email addresses, phone numbers, Facebook URL, TikTok URL, Instagram URL, LinkedIn URL, Twitter URL, Youtube Channel URL, GitHub URL, and Pinterest URL, when available.

OpenWeb Ninja's Company Website Contacts Scraper API's B2B Contact Data, Phone Number Data, and Social Contacts Data is typically used for: - B2B Contact Enrichment - B2B Email Marketing - B2B Lead Generation - Ads Targeting - Marketing/Sales Data Enrichment

OpenWeb Ninja's Company Website Contacts Scraper API Stats & Capabilities: - 1000+ Emails and Phone Numbers per company website domain are supported - 8 Social networks covered: Facebook, TikTok, Instagram, LinkedIn, Twitter, Youtube, GitHub, and Pinterest. - Scrapes all website pages, quickly. - Support for getting website domain by company name

Company phone numbers and email addresses sourced from publicly available information on official websites, providing reliable, up-to-date contact details.

Introduction

This Japanese Call Center Speech Dataset for the Telecom industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Japanese-speaking telecom customers. Featuring over 40 hours of real-world, unscripted audio, it delivers authentic customer-agent interactions across key telecom support scenarios to help train robust ASR models.

Curated by FutureBeeAI, this dataset empowers voice AI engineers, telecom automation teams, and NLP researchers to build high-accuracy, production-ready models for telecom-specific use cases.

Speech Data

The dataset contains 40 hours of dual-channel call center recordings between native Japanese speakers. Captured in realistic customer support settings, these conversations span a wide range of telecom topics from network complaints to billing issues, offering a strong foundation for training and evaluating telecom voice AI solutions.

Topic Diversity

This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral ensuring broad scenario coverage for telecom AI development.

This variety helps train telecom-specific models to manage real-world customer interactions and understand context-specific voice patterns.

Transcription

All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.

These transcriptions are production-ready, allowing for faster development of ASR and conversational AI systems in the Telecom domain.

Metadata

Rich metadata is available for each participant and conversation:

No of Cell Phone User: Male: Age 60 Years and More data was reported at 8,834.890 Person th in 2017. This records an increase from the previous number of 8,187.283 Person th for 2016. No of Cell Phone User: Male: Age 60 Years and More data is updated yearly, averaging 8,511.086 Person th from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 8,834.890 Person th in 2017 and a record low of 8,187.283 Person th in 2016. No of Cell Phone User: Male: Age 60 Years and More data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Transport and Telecommunication Sector – Table BR.TB010: Number of Cell Phone User: by Sex and Age.

Analysis of ‘Do Not Call (DNC) Reported Calls Data 12/14/18 - 12/20/18’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d0fc1d53-5a49-4162-8436-836cae414b6f on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This data set includes information on Do Not Call and robocall complaints reported to the Federal Trade Commission. The data set contains information reported by consumers, including the telephone number originating the unwanted call, the date the complaint was created, the time the call was made, the consumer’s city and state locations reported, the subject of the call, and whether the call was a robocall. None of the information about the reported calls is verified.

--- Original source retains full ownership of the source dataset ---

911 Public Safety Answering Point (PSAP) service area boundaries in New Mexico According to the National Emergency Number Association (NENA), a Public Safety Answering Point (PSAP) is a facility equipped and staffed to receive 9-1-1 calls. The service area is the geographic area within which a 911 call placed using a landline is answered at the associated PSAP. This dataset only includes primary PSAPs. Secondary PSAPs, backup PSAPs, and wireless PSAPs have been excluded from this dataset. Primary PSAPs receive calls directly, whereas secondary PSAPs receive calls that have been transferred by a primary PSAP. Backup PSAPs provide service in cases where another PSAP is inoperable. Most military bases have their own emergency telephone systems. To connect to such system from within a military base it may be necessary to dial a number other than 9 1 1. Due to the sensitive nature of military installations, TGS did not actively research these systems. If civilian authorities in surrounding areas volunteered information about these systems or if adding a military PSAP was necessary to fill a hole in civilian provided data, TGS included it in this dataset. Otherwise military installations are depicted as being covered by one or more adjoining civilian emergency telephone systems. In some cases areas are covered by more than one PSAP boundary. In these cases, any of the applicable PSAPs may take a 911 call. Where a specific call is routed may depend on how busy the applicable PSAPS are (i.e. load balancing), operational status (i.e. redundancy), or time of date / day of week. If an area does not have 911 service, TGS included that area in the dataset along with the address and phone number of their dispatch center. These are areas where someone must dial a 7 or 10 digit number to get emergency services. These records can be identified by a "Y" in the [NON911EMNO] field. This indicates that dialing 911 inside one of these areas does not connect one with emergency services. This dataset was constructed by gathering information about PSAPs from state level officials. In some cases this was geospatial information, in others it was tabular. This information was supplemented with a list of PSAPs from the Federal Communications Commission (FCC). Each PSAP was researched to verify its tabular information. In cases where the source data was not geospatial, each PSAP was researched to determine its service area in terms of existing boundaries (e.g. city and county boundaries). In some cases existing boundaries had to be modified to reflect coverage areas (e.g. "entire county north of Country Road 30"). However, there may be cases where minor deviations from existing boundaries are not reflected in this dataset, such as the case where a particular PSAPs coverage area includes an entire county, and the homes and businesses along a road which is partly in another county. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics.

State of Palestine (West Bank and Gaza) Avg Number of Telephone Calls data was reported at 69,848,994.000 Unit th in 2017. This records a decrease from the previous number of 96,706,960.000 Unit th for 2016. State of Palestine (West Bank and Gaza) Avg Number of Telephone Calls data is updated yearly, averaging 94,717,618.000 Unit th from Dec 2004 (Median) to 2017, with 13 observations. The data reached an all-time high of 103,248,599.000 Unit th in 2013 and a record low of 33,905,287.000 Unit th in 2004. State of Palestine (West Bank and Gaza) Avg Number of Telephone Calls data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.TB003: Number of Phone Subscribers and Calls.

Please review this brief video for a better understanding of how these data are created: https://www.youtube.com/watch?v=lvTCjVHxpAU

This data represents police response activity. Each row is a record of a Call for Service (CfS) logged with the Seattle Police Department (SPD) Communications Center. Calls originated from the community and range from in progress or active emergencies to requests for problem solving. Additionally, officers will log calls from their observations of the field.

Previous versions of this data set have withheld approximately 40% of calls. This updated process will release more than 95% of all calls but we will no longer provide latitude and longitude specific location data. In an effort to safeguard the privacy of our community, calls will only be located to the “beat” level. Beats are the most granular unit of management used for patrol deployment. To learn more about patrol deployment, please visit: https://www.seattle.gov/police/about-us/about-policing/precinct-and-patrol-boundaries.

As with any data, certain conditions and qualifications apply:

1) These data are queried from the Data Analytics Platform (DAP), and updated incrementally on a daily basis. A full refresh will occur twice a year and is intended to reconcile minor changes.

2) This data set only contains records of police response. If a call is queued in the system but cleared before an officer can respond, it will not be included.

3) These data contain administrative call types. Use the “Initial” and “Final” call type to identify the calls you wish to include in your analysis.

We invite you to engage these data, ask questions and explore.

Abstract

The spread of COVID-19 and government-imposed social distancing practices across the globe has severely limited the use of traditional, face-to-face interviews. Phone surveys, on the other hand, do not require face-to-face interactions and could elicit information from individuals, households rapidly and at low cost. These platforms also offer flexibility to alter sampling and/or questionnaire design in response to evolving needs. The objective of this survey is to monitor the impact of COVID-19 and the economic downturn on Iraqi individuals and households, and consequently better inform government mitigation policies – in the short- and medium-run. The short and repeated household phone-survey collected information on key indicators such as employment, food insecurity, subjective wellbeing and access to market, healthcare, and education to identify the most vulnerable groups and assess their needs. The phone survey was implemented on a monthly basis to monitor changes over time.

Geographic coverage

The survey covered all 18 governorates of Iraq.

Analysis unit

Individual and Household

Kind of data

Sample survey data [ssd]

Frequency of data collection

Data was collected monthly

Sampling procedure

The data collection methodology consists of a countrywide survey covering the 18 governorates in Iraq. The sample size is disaggregated by 18 governorates and the survey firm applied a random sampling approach to reach participants from different governorates in order to reach the given geographical quotas. The governorate population and details of quota are provided in Annex I of the survey report provided as supporting documentation.

All major Mobile Network Operators (MNOs) active in the country were included within the sampling frame to ensure a representative sample. The sample size is designed to detect changes in the prevalence of food insecurity (mainly people with inadequate food consumption) at governorate level as reported in the 2016 Comprehensive Food Security and Vulnerability Analysis (CFSVA) survey in Iraq.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaires are provided as supporting documentation, in English.

Response rate

The response rate for each round of the survey remained above 75 percent. For example, in August, a total of 1,843 individuals were contacted out of which 1,621 (each from a unique household) agreed and completed the survey; yielding a response rate of 80.1 percent. While the survey is designed to be a panel, households that could not be tracked are replaced with new households to meet the required quota. Response rate for both September and October rounds were above 75 percent. The survey allowed for maximum of 5 telephone contact attempts to reach the targeted respondents. Average number of attempts per phone number was below 1.5 calls for all three rounds.

US B2B Contact Database | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON Elevate your sales and marketing efforts with America's most comprehensive B2B contact data, featuring over 200M+ verified records of decision-makers, from CEOs to managers, across all industries. Powered by AI and refreshed bi-weekly, this dataset ensures you have access to the freshest, most accurate contact details available for effective outreach and engagement.

Key Features & Stats:

200M+ Decision-Makers: Includes C-level executives, VPs, Directors, and Managers.

95% Accuracy: Email & Phone numbers verified for maximum deliverability.

Bi-Weekly Updates: Never waste time on outdated leads with our frequent data refreshes.

50+ Data Points: Comprehensive firmographic, technographic, and contact details.

Core Fields:

Direct Work Emails & Personal Emails for effective outreach.

Mobile Phone Numbers for cold calls and SMS campaigns.

Full Name, Job Title, Seniority for better personalization.

Company Insights: Size, Revenue, Funding data, Industry, and Tech Stack for a complete profile.

Location: HQ and regional offices to target local, national, or international markets.

Top Use Cases:

Cold Email & Calling Campaigns: Target the right people with accurate contact data.

CRM & Marketing Automation Enrichment: Enhance your CRM with enriched data for better lead management.

ABM & Sales Intelligence: Target the right decision-makers and personalize your approach.

Recruiting & Talent Mapping: Access CEO and senior leadership data for executive search.

Instant Delivery Options:

JSON – Bulk downloads via S3 for easy integration.

REST API – Real-time integration for seamless workflow automation.

CRM Sync – Direct integration with your CRM for streamlined lead management.

Enterprise-Grade Quality:

SOC 2 Compliant: Ensuring the highest standards of security and data privacy.

GDPR/CCPA Ready: Fully compliant with global data protection regulations.

Triple-Verification Process: Ensuring the accuracy and deliverability of every record.

Suppression List Management: Eliminate irrelevant or non-opt-in contacts from your outreach.

US Business Contacts | B2B Email Database | Sales Leads | CRM Enrichment | Verified Phone Numbers | ABM Data | CEO Contact Data | US B2B Leads | US prospects data

Afghanistan number dataset lets you filter by gender, age, and relationship status to find exactly what you’re looking for. We define this data by organizing it in a way that makes it easy to find the right contacts. Additionally, we follow strict GDPR rules to protect personal information. We update the information regularly to keep your contact lists fresh and useful. However, when you use our Afghanistan number dataset, you can easily search and filter the contacts you want to reach. You don’t have to worry about outdated information because we take care of removing invalid data for you. Our focus on following GDPR rules ensures that you handle data responsibly and legally. Afghanistan phone data offers 100% correct and valid information. We define the data by organizing phone numbers from Afghanistan that you can use right away. If any number turns out to be incorrect, we have a replacement guarantee in place. This helps you always have the right details. Additionally, we collect the data on a customer-permission basis. We also focus on opt-in data, so the people on this list have agreed to be contacted. Our replacement guarantee makes sure you get the right information, and if a number doesn’t work, we replace it. Businesses trust us because we provide data that they can use to connect with people who want to hear from them. We make it simple to reach customers while respecting their privacy. We collect opt-in data, so businesses can use numbers confidently and legally. Afghanistan phone number list provides mobile users’ contact information for Afghanistan. We define this list by gathering phone numbers of people living in Afghanistan. This list includes details like mobile numbers and more, all organized in one place for easy access. The data comes from trusted sources, ensuring its reliability. We provide source URLs to show where we collect the data from. However, we know that accurate phone data matters, especially for businesses looking to contact customers in Afghanistan. We collect the phone numbers in our list carefully and update them regularly. This way, we can provide you with the most current information available. With our reliable support, you can always reach out if you need help using the list.

No of Mobile Phone Subscribers: per 1000 Persons: SB: Tomsk Region data was reported at 1.792 Unit th in 2023. This records an increase from the previous number of 1.784 Unit th for 2022. No of Mobile Phone Subscribers: per 1000 Persons: SB: Tomsk Region data is updated yearly, averaging 1.416 Unit th from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 1.825 Unit th in 2019 and a record low of 0.003 Unit th in 1999. No of Mobile Phone Subscribers: per 1000 Persons: SB: Tomsk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Transport and Telecommunications Sector – Table RU.TG009: Number of Mobile Phone Subscribers: per 1000 Persons: by Region.