Dataset

This dataset was created by Zahra Zolghadr

Contents

Safely upload client/brand first party CRM/loyalty data. TrueData will append with relevant digital identifiers (HEM, MAID, UID 2.0, CTV IDs) and distribute to directly or via LiveRamp to any destination. Activate across Desktop, Mobile App/Web, CTV, DOOH, Audio. Ingest raw data to build derivative internal products.

With Versium REACH's Firmographic Append tool in the Business to Business Direct product suite you unlock the ability to append valuable firmographic data for your customer and prospect contact lists. With only a few available attributes needed you can tap into Versium's industry-leading identity resolution engine and proprietary database to append rich firmographic data. To append data you will only need any of the following: - Email - Business Domain - Business Name, Address, City, State - Business Name, Phone

Boost your B2B database with BoldData’s data appending and enrichment services. Access verified company data from official trade registers with high match rates. Enhance CRM, sales, and marketing with global coverage of 380M+ businesses.

Our Contact Validation and Append solution identifies and fixes errors in your existing customer database whilst appending missing information, including email addresses and telephone numbers. This comprehensive approach allows you to provide excellent customer service, obtain accurate billing information, and achieve high collection rates across all your communications.

What is it? A combination of cleansing, validation, correction and appending solutions applied to your customer base, whether residential or commercial. The full process involves the following steps:

• Data Cleansing: Identification and removal of duplicate, outdated, or incorrect contact records
• Validation: Real-time verification of email addresses and telephone numbers to ensure deliverability
• Correction: Automatic fixing of common formatting errors and standardisation of contact data
• Appending: Enhancement of incomplete records with missing email addresses and telephone numbers from our comprehensive database

This multi-step approach ensures your contact database is not only clean and accurate, but also complete with the most up-to-date information available.

Use cases - Deliver more messaging to the right customers - Ensure your communications reach their intended recipients by maintaining accurate contact details - Less wastage for your messaging and marketing - Reduce bounce rates and failed delivery attempts, maximising your marketing budget efficiency - Increase delivery success and engagement propensity - Clean, validated contact data leads to higher open rates, click-through rates, and overall campaign performance - Improve customer service delivery - Reach customers through their preferred contact methods with confidence in data accuracy - Enhance billing and collection processes - Accurate contact information supports successful payment reminders and collection activities - Maintain GDPR compliance - Keep your contact database current and accurate in line with data protection requirements

Appending materials

This data set includes soil moisture data for the following 10 Iowa counties: Boone, Dallas, Franklin, Hamilton, Hardin, Jasper, Marshall, Polk, Story, and Wright. These data were created by appending existing county digital soils data provided by the Iowa Cooperative Soil Survey (ICCS) and clipping them by the SMEX02 project area boundary.

This is a test model for Choctawatchee river appending with the existing database

The Natural Resources Program Center conducted a land cover analysis to determine land cover types, acres and their subsequent percentages for the National Wildlife Refuge System. The National Land Cover Database (NLCD) 2001 was used to determine land cover classes and calculate number of acres at national and regional scales. Coordination Areas, National Wildlife Refuges, Wildlife Management Areas and Waterfowl Production Areas were extracted from the U.S. Fish and Wildlife Service interest boundary. Excluding Hawaii and Puerto Rico, other pacific and Caribbean were not included in the analysis due to absence of land cover data in the area. The FwsInterest feature class is an aggregated data layer derived by appending separate regional feature data sets into a single national set. The spatial and positional accuracy of this information will vary depending on the original source data and methods utilized. For additional details on FWS boundary data refer to http://www.fws.gov/GIS/data/CadastralDB/index.htm. The NLCD layer was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. It was developed for the United States at medium spatial resolution. This landcover map and all documents pertaining to it are considered "provisional" until a formal accuracy assessment can be conducted. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer et al. (2004) and http://www.mrlc.gov/mrlc2k.asp.

With Versium REACH's Contact Append or Contact Append Plus you can add consumer contact data, including multiple phone numbers or mobile-only to your list of customers or prospects. With Versium REACH you are connected to our proprietary database of over 300+ million consumers, 1 Billion emails, and over 150 million households in the United States. Through either our API or platform you can have contact data appended to your records with any of the following supplied values; Email Address Phone Postal Address, City, State, ZIP First Name, Last Name, City, State First Name, Last Name, ZIP

This dataset is subset of the address point data from Minnesota suppliers which have been reviewed by the United States Department of Transportation for the National Address Database and matched against the United States Postal Service national address database to append each address with a Zip+4 attribute code. Only matching locations (USPS_matched) are appended and retained in the dataset.

Data Enrichment Platform Market Outlook

According to our latest research, the global Data Enrichment Platform market size reached USD 2.47 billion in 2024, reflecting robust adoption across multiple industries. The market is projected to grow at a CAGR of 14.2% from 2025 to 2033, with the total market value expected to reach USD 7.72 billion by 2033. This remarkable growth is fueled by the increasing demand for high-quality, actionable data to drive decision-making, enhance customer engagement, and support digital transformation initiatives across sectors.

A primary growth driver for the Data Enrichment Platform market is the exponential rise in data volumes generated by businesses worldwide. Organizations are increasingly recognizing the importance of transforming raw data into valuable insights, which is only possible through advanced data enrichment solutions. These platforms enable companies to append, cleanse, and validate their datasets, ensuring high data accuracy and relevancy. The proliferation of digital channels, IoT devices, and cloud-based applications has further intensified the need for real-time data enrichment, as enterprises strive to personalize customer experiences and optimize operational efficiency. Additionally, the rapid adoption of artificial intelligence and machine learning technologies within data enrichment platforms has significantly improved the speed and accuracy of data processing, making these solutions indispensable for modern enterprises.

Another significant factor propelling market growth is the rising focus on regulatory compliance and risk mitigation. With stringent data privacy regulations such as GDPR, CCPA, and others coming into effect, organizations must ensure that their data repositories are accurate, up-to-date, and compliant. Data enrichment platforms help businesses identify outdated or incorrect information, reduce compliance risks, and maintain robust audit trails. This capability is especially crucial for sectors such as BFSI, healthcare, and government, where data integrity and compliance are paramount. The integration of enrichment solutions with existing CRM, ERP, and marketing automation systems has further expanded their applications, making it easier for organizations to maintain clean and compliant datasets across all functions.

The evolving landscape of customer engagement and marketing strategies is also fueling demand for data enrichment platforms. Businesses are increasingly leveraging enriched data to gain a 360-degree view of their customers, segment audiences more effectively, and deliver hyper-personalized content. Enhanced data quality empowers sales and marketing teams to target prospects with precision, improve lead scoring, and drive higher conversion rates. Moreover, in highly competitive sectors like retail and e-commerce, enriched data supports dynamic pricing, inventory management, and customer retention initiatives. As digital transformation accelerates across industries, the ability to derive actionable insights from enriched data is becoming a key differentiator for businesses seeking to gain a competitive edge.

From a regional perspective, North America continues to dominate the Data Enrichment Platform market, accounting for the largest share in 2024. This leadership is attributed to the presence of major technology providers, high adoption rates of advanced analytics solutions, and a mature digital infrastructure. Europe follows closely, driven by stringent data privacy regulations and a strong focus on data-driven decision-making. The Asia Pacific region is emerging as a high-growth market, supported by rapid digitalization, expanding e-commerce sectors, and increasing investments in cloud and AI technologies. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as organizations in these regions ramp up their digital transformation efforts.

Merchant Data Enrichment is becoming a pivotal aspect of the data enrichment landscape, especially as businesses seek to enhance their understanding of transaction data. By leveraging merchant data enrichment, organizations can gain deeper insights into consumer spending patterns and merchant behaviors, which are critical for tailoring marketing strategies and improving customer engagement. This process involves appending

Abstract

This dataset was derived by the Bioregional Assessment Programme. The parent datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this dataset are described in the History field in this metadata statement.

This dataset is a subset of the QLD bore data (c4110cd3-5053-4830-8ad1-533ecd2e67c9) for the Galilee Assesment extent with Assets and drawdown data attached.

Dataset History

Data from the following source datasheets within the QLD groundwater database were used: Registrations, Casing, Aquifer, Stratigraphy, Pump test and water levels.

Relevant data was extracted from these source datasheets and compiled in new tab called "SWL Interp". Then the hydrostratigraphic interpretation from the original data compilation was incorporated into the "SWL interp" datasheet in the column called BA "strat". These interpretations are tagged in the "strat interp source" column as "July14 SWL" . For completeness the original interpretation is included in the datasheet called "July14SWL"

The focus of these updated interpretation were bores that maybe screened in aquifers in the Galilee Basin. Bores that were interpreted utilising the updated data are tagged in the "strat interp source" column as "Mar17 interp".

This dataset was then clipped to the Assessment extent (see lineage) and some bores to the east added in (to use for Figure 79, GAL Group 3-4).

A spatial join (250m) was done with the points from the Assets database to append information about the assets into the dataset and columns with null fields removed.

This dataset was then used to append values (using extract values to points) from the drawdown grids (Clematis, BCB and Alluvium) for the 5th, 50th and 95th percentile of drawdown in the model layers.

The spreadsheet QLDGALBoresNotInAssets.xlsx is an extract of the dataset to produce bores that aren't in the asset list.

Dataset Citation

Bioregional Assessment Programme (2017) Galilee groundwater data October 2016 v3. Bioregional Assessment Derived Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/c198b028-c08e-4bf6-b633-9126e99c514f.

Dataset Ancestors

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From Galilee Drawdown Rasters

• Derived From Galilee groundwater numerical modelling AEM models

• Derived From Matters of State environmental significance (version 4.1), Queensland

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From South Australia SA - Regional - NRM Board - Water Asset Information Tool - WAIT - databases

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From National Groundwater Information System (NGIS) v1.1

• Derived From GAL Aquifer Formation Extents v01

• Derived From GAL Aquifer Formation Extents v02

• Derived From Bioregional Assessment areas v04

• Derived From Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014

• Derived From Asset database for the Galilee subregion on 04 January 2016

• Derived From Australia - Species of National Environmental Significance Database

• Derived From Gippsland Project boundary

• Derived From Galilee model HRV receptors gdb

• Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)

• Derived From Galilee drawdown grids

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014

• Derived From Environmental Asset Database - Commonwealth Environmental Water Office

• Derived From Geoscience Australia GEODATA TOPO series - 1:1 Million to 1:10 Million scale

• Derived From QLD Dept of Natural Resources and Mines, Surface Water Entitlements 131204

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From Ramsar Wetlands of Australia

• Derived From GEODATA TOPO 250K Series 3

• Derived From Queensland groundwater data October 2016

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Permanent and Semi-Permanent Waterbodies of the Lake Eyre Basin (Queensland and South Australia) (DRAFT)

• Derived From Phanerozoic OZ SEEBASE v2 GIS

• Derived From Asset database for the Galilee subregion on 2 December 2014

• Derived From Key Environmental Assets - KEA - of the Murray Darling Basin

• Derived From Bioregional Assessment areas v03

• Derived From Asset database for the Galilee subregion on 04 January 2016 Public

• Derived From Bioregional Assessment areas v05

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• Derived From Great Artesian Basin and Laura Basin groundwater recharge areas

• Derived From Birds Australia - Important Bird Areas (IBA) 2009

• Derived From QLD DNRM Licence Locations Linked to Cadastre Plan - v1 - 20140307

• Derived From Asset database for the Galilee subregion on 22 May 2015

• Derived From Galilee Groundwater Model, Hydrogeological Formation Extents v01

• Derived From Queensland petroleum exploration data - QPED

• Derived From Australia World Heritage Areas

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Surface Geology of Australia, 1:2 500 000 scale, 2012 edition

• Derived From Bioregional Assessment areas v06

• Derived From Geological Provinces - Full Extent

• Derived From Biodiversity status of pre-clearing and remnant regional ecosystems - South East Qld

• Derived From Asset list for Galilee - 20140605

• Derived From

With Versium REACH's Consumer to Business tool you can unlock the professional data for prospects that are only providing you with their personal email address. Get back business information for your prospects needing only their personal email address. Versium's industry-leading identity resolution engine will locate and append the prospect's business email and/or firmographic data for their business.

With over 60 Million business professionals and 30+ million businesses in Versium's proprietary database, you will greatly increase you ability to identify key contact points and attributes that you were missing before.

Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.

With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

Here is a list of what sorts of attributes are available for each output type listed above:

Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
- Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
- Current Affairs and Politics
- Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
- Antiques - Home Improvement - Gardening - Cooking - Exercise
- Sports - Outdoors - Womens Apparel
- Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

Here is a list of what sorts of attributes are available for each output type listed above:

Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
- Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
- Current Affairs and Politics
- Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
- Antiques - Home Improvement - Gardening - Cooking - Exercise
- Sports - Outdoors - Womens Apparel
- Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

Alesco’s aggregated consumer email database consists of over 2.3 billion U.S. records with name, address and email. The database is fully CAN-SPAM and privacy compliant, and records include referring URL, IP address and date stamp. Postal addresses are address standardized and processed through the US postal service National Change of Address (NCOA) service. Available for licensing!

File size: 2.3 Billion IP Address: 1.9 Billion eAppend data: 1.48 Billion (full name/postal) Acquisition: 269 Million (full demo’s)

Fields Included: -Name -Address -Email -Phone -IP Address

Contact Append / Contact Append Plus: Append consumer emails that have been validated for deliverability (~90% to 95% accuracy). Append phone numbers that have been labeled as the best number to reach someone at (Landlines, VOIP, and Mobile phones included as a default) Append address information for mailing and geo segmentation purposes

Demographic Append: Add consumer demographic data to your list of customers or prospects.

List Generation: Create a list of consumer targets from scratch by using demographic, geolocation, and financial data

Online Audience: B2C social media and programmatic display marketing - Increase match rates by 30% to 300%

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.