100+ datasets found
  1. f

    Datasheet1_FLAP: a framework for linking free-text addresses to the Ordnance...

    • frontiersin.figshare.com
    pdf
    Updated Nov 28, 2023
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    Huayu Zhang; Arlene Casey; Imane Guellil; Víctor Suárez-Paniagua; Clare MacRae; Charis Marwick; Honghan Wu; Bruce Guthrie; Beatrice Alex (2023). Datasheet1_FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database.pdf [Dataset]. http://doi.org/10.3389/fdgth.2023.1186208.s001
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    pdfAvailable download formats
    Dataset updated
    Nov 28, 2023
    Dataset provided by
    Frontiers
    Authors
    Huayu Zhang; Arlene Casey; Imane Guellil; Víctor Suárez-Paniagua; Clare MacRae; Charis Marwick; Honghan Wu; Bruce Guthrie; Beatrice Alex
    License

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

    Description

    IntroductionLinking free-text addresses to unique identifiers in a structural address database [the Ordnance Survey unique property reference number (UPRN) in the United Kingdom (UK)] is a necessary step for downstream geospatial analysis in many digital health systems, e.g., for identification of care home residents, understanding housing transitions in later life, and informing decision making on geographical health and social care resource distribution. However, there is a lack of open-source tools for this task with performance validated in a test data set.MethodsIn this article, we propose a generalisable solution (A Framework for Linking free-text Addresses to Ordnance Survey UPRN database, FLAP) based on a machine learning–based matching classifier coupled with a fuzzy aligning algorithm for feature generation with better performance than existing tools. The framework is implemented in Python as an Open Source tool (available at Link). We tested the framework in a real-world scenario of linking individual’s (n=771,588) addresses recorded as free text in the Community Health Index (CHI) of National Health Service (NHS) Tayside and NHS Fife to the Unique Property Reference Number database (UPRN DB).ResultsWe achieved an adjusted matching accuracy of 0.992 in a test data set randomly sampled (n=3,876) from NHS Tayside and NHS Fife CHI addresses. FLAP showed robustness against input variations including typographical errors, alternative formats, and partially incorrect information. It has also improved usability compared to existing solutions allowing the use of a customised threshold of matching confidence and selection of top n candidate records. The use of machine learning also provides better adaptability of the tool to new data and enables continuous improvement.DiscussionIn conclusion, we have developed a framework, FLAP, for linking free-text UK addresses to the UPRN DB with good performance and usability in a real-world task.

  2. National Statistics Address Lookup (March 2017) User Guide - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Jun 12, 2017
    + more versions
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    ckan.publishing.service.gov.uk (2017). National Statistics Address Lookup (March 2017) User Guide - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/national-statistics-address-lookup-march-2017-user-guide2
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    Dataset updated
    Jun 12, 2017
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This is the User Guide for the National Statistics Address Lookup (NSAL) for Great Britain as at March 2017. The NSAL relates the Unique Property Reference Number (UPRN) for each GB address to a range of current geographies via 'best-fit' allocation from 2011 output areas. (File Size - 303 KB)

  3. d

    Global Address Database (24M Streets) | Postal, Lat/Long, Localities &...

    • datarade.ai
    .csv
    Updated May 13, 2024
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    GeoPostcodes (2024). Global Address Database (24M Streets) | Postal, Lat/Long, Localities & Regions | Weekly Updates [Dataset]. https://datarade.ai/data-products/geopostcodes-address-data-global-coverage-24-m-streets-geopostcodes
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    .csvAvailable download formats
    Dataset updated
    May 13, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Holy See, Guam, Åland Islands, Gibraltar, Sint Maarten (Dutch part), Kazakhstan, Ireland, Tanzania, Guernsey, Malaysia
    Description

    A comprehensive self-hosted geospatial database of street names, coordinates, and address data ranges for Enterprise use. The address data are georeferenced with industry-standard WGS84 coordinates (geocoding).

    All geospatial data are provided in the official local languages. Names and other data in non-Roman languages are also made available in English through translations and transliterations.

    Use cases for the Global Address Database (Geospatial data)

    • Address capture and validation

    • Parcel delivery

    • Master Data Management

    • Logistics and Shipping

    • Sales and Marketing

    Additional features

    • Fully and accurately geocoded

    • Multi-language support

    • Address ranges for streets covered by several zip codes

    • Comprehensive city definitions across countries

    • Administrative areas with a level range of 0-4

    • International Address Formats

    For additional insights, you can combine the map data with:

    • UNLOCODE and IATA codes (geocoded)

    • Time zones and Daylight Saving Time (DST)

    • Population data: Past and future trends

    Data export methodology

    Our location data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Why companies choose our location databases

    • Enterprise-grade service

    • Reduce integration time and cost by 30%

    • Frequent, consistent updates for the highest quality

    Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

  4. AddressBase Premium - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Mar 29, 2019
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    ckan.publishing.service.gov.uk (2019). AddressBase Premium - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/addressbase-premium2
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Our flagship address database, AddressBase® Premium gives you the most up to date, accurate information about addresses, properties and land areas. You'll be more efficient - making it easier and quicker to deliver a smooth service to your customers without postcode look-ups and address auto-completion for your websites. The insights to property life cycles you'll find within AddressBase Premium can give you all the information you need to shape the way you plan, operate and communicate with your audience. At scales of 1:10,000, AddressBase Premium has all the information you'll need to conduct risk analysis at the level of individual addresses and spot patterns hidden in your own data. AddressBase Premium contains current properties and addresses sourced from local authorities, Ordnance Survey and Royal Mail matched to the Unique Property Reference Number. It includes a range of information relating to an address or property from creation to retirement or demolition.

  5. Price Paid Data

    • gov.uk
    Updated Sep 29, 2025
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    HM Land Registry (2025). Price Paid Data [Dataset]. https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads
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    Dataset updated
    Sep 29, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Description

    Our Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.

    Get up to date with the permitted use of our Price Paid Data:
    check what to consider when using or publishing our Price Paid Data

    Using or publishing our Price Paid Data

    If you use or publish our Price Paid Data, you must add the following attribution statement:

    Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.

    Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.

    Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.

    Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:

    • for personal and/or non-commercial use
    • to display for the purpose of providing residential property price information services

    If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.

    Address data

    The following fields comprise the address data included in Price Paid Data:

    • Postcode
    • PAON Primary Addressable Object Name (typically the house number or name)
    • SAON Secondary Addressable Object Name – if there is a sub-building, for example, the building is divided into flats, there will be a SAON
    • Street
    • Locality
    • Town/City
    • District
    • County

    August 2025 data (current month)

    The August 2025 release includes:

    • the first release of data for August 2025 (transactions received from the first to the last day of the month)
    • updates to earlier data releases
    • Standard Price Paid Data (SPPD) and Additional Price Paid Data (APPD) transactions

    As we will be adding to the August data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    Google Chrome (Chrome 88 onwards) is blocking downloads of our Price Paid Data. Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.

    We update the data on the 20th working day of each month. You can download the:

    Single file

    These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    The data is updated monthly and the average size of this file is 3.7 GB, you can download:

  6. d

    Location & Address Data Global (1.8 billion addresses)

    • datarade.ai
    .csv
    Updated Oct 8, 2020
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    Matrixian (2020). Location & Address Data Global (1.8 billion addresses) [Dataset]. https://datarade.ai/data-products/location-data-matrixian-group
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    .csvAvailable download formats
    Dataset updated
    Oct 8, 2020
    Dataset authored and provided by
    Matrixian
    Area covered
    Bouvet Island, Burkina Faso, Åland Islands, Mauritius, San Marino, United States Minor Outlying Islands, Central African Republic, Poland, Grenada, Cameroon
    Description

    For every organization it is important to have the correct address details of customers. We have a location database in which every address in the globe can be found. From more than 1.8 billion addresses and households we provide detailed information about the geo coordinates, the surrounded area and region.

  7. d

    UK Customer Services Contacts Database

    • datamx.io
    • data.wu.ac.at
    Updated Aug 10, 2015
    + more versions
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    (2015). UK Customer Services Contacts Database [Dataset]. https://datamx.io/dataset/uk-customer-services-contacts-database
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    Dataset updated
    Aug 10, 2015
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Customer Contacts Database Information showing customer contacts to UK Contact Centres and One Stop Centres by month. Dataset Guidance: F2F = Face-to-face (One Stop Centre) CC = Contact centre (Call centre/telephone)

  8. Care Homes Database

    • infinity-db.co.uk
    xlsx
    Updated Sep 26, 2022
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    Infinity Databank (2022). Care Homes Database [Dataset]. https://infinity-db.co.uk/care-homes-database/
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    xlsxAvailable download formats
    Dataset updated
    Sep 26, 2022
    Dataset authored and provided by
    Infinity Databank
    License

    https://infinity-db.co.uk/https://infinity-db.co.uk/

    Description

    Our care homes database contains residential and nursing care homes, and includes valid care home email addresses by size and region.

  9. Central and Local Government Unregistered Land

    • data.gov.uk
    csv, xls
    Updated Aug 6, 2020
    + more versions
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    Ministry of Housing, Communities and Local Government (2020). Central and Local Government Unregistered Land [Dataset]. https://data.gov.uk/dataset/4f5ed3a2-1dbc-41bc-ba1b-bf840e781e08/central-and-local-government-unregistered-land
    Explore at:
    csv, xlsAvailable download formats
    Dataset updated
    Aug 6, 2020
    Authors
    Ministry of Housing, Communities and Local Government
    License

    https://data.gov.uk/dataset/4f5ed3a2-1dbc-41bc-ba1b-bf840e781e08/central-and-local-government-unregistered-land#licence-infohttps://data.gov.uk/dataset/4f5ed3a2-1dbc-41bc-ba1b-bf840e781e08/central-and-local-government-unregistered-land#licence-info

    Description

    A list of central and local government land in England, which may not be registered with HM Land Registry (HMLR).

    HMLR has created this dataset for the Ministry for Housing, Communities and Local Government (MHCLG) by combining HMLR freehold polygon data with the public sector ownership data currently openly available from the Office of Government Property.

    The dataset is not definitive or complete as not all central and local government data is captured, and/or available, and the two datasets are not held in the same format. The list is therefore indicative rather than definitive.

    Intellectual Property Rights

    The dataset includes address data processed against Ordnance Survey’s AddressBase Premium product and incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data:

    • for personal and/or non-commercial use
    • in relation to the analysis of public sector land and property.

    If you want to use the Address Data in any other way, you must contact Royal Mail. Email

    Address data

    The following fields comprise the address data included in the dataset

    • Property Name
    • Street No
    • Road
    • Town
    • Postcode
  10. National Statistics Address Lookup (March 2017) - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 12, 2017
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    ckan.publishing.service.gov.uk (2017). National Statistics Address Lookup (March 2017) - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/national-statistics-address-lookup-march-20172
    Explore at:
    Dataset updated
    Jun 12, 2017
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Click on the title for more details and to download the file. (File Size - 372 MB).

  11. Company Data | UK SME Database | 2.5M+ Small & Medium Businesses with...

    • data.success.ai
    Updated Dec 17, 2024
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    Success.ai (2024). Company Data | UK SME Database | 2.5M+ Small & Medium Businesses with Contact Details | Best Price Guarantee [Dataset]. https://data.success.ai/?page=17
    Explore at:
    Dataset updated
    Dec 17, 2024
    Dataset provided by
    Area covered
    Isle of Man, Jersey, Ireland, United Kingdom, Guernsey
    Description

    Access 2.5 million verified UK small and medium-sized business profiles with decision-maker contacts and firmographics. Ideal for B2B sales and market expansion. Best Price Guarantee.

  12. d

    Small Business Contact Data | Small Business Database | Decision Makers |...

    • datarade.ai
    Updated Aug 9, 2024
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    Exellius Systems (2024). Small Business Contact Data | Small Business Database | Decision Makers | 45M+ Contacts | E-mail, Direct Dails | 100% Accurate Data | 16+ Attributes [Dataset]. https://datarade.ai/data-products/small-business-contact-data-small-business-database-decis-exellius-systems
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Exellius Systems
    Area covered
    Aruba, Saint Barthélemy, Micronesia (Federated States of), State of, San Marino, Papua New Guinea, Belize, Bonaire, Italy, Northern Mariana Islands
    Description

    Introducing Our Global Small Business Contact Data Solution

    In today’s dynamic business landscape, connecting with small businesses is essential for growth. Our Global Small Business Contact Data provides you with the tools to reach and engage with millions of small business owners and decision-makers worldwide.

    What Sets Our Data Apart?

    Our data is specifically focused on small businesses, offering you a targeted and efficient way to connect with your ideal customers. With over 41 million verified contacts, including business emails and phone numbers, we prioritise accuracy to ensure your outreach is effective.

    Our Data Collection Process

    We employ a robust data collection process that combines the power of ten dynamic publication sites with our dedicated Contact Discovery Team. This dual approach guarantees a comprehensive and reliable database of small business contacts.

    Applications Across Diverse Industries

    Our data is versatile and applicable to a wide range of industries. Whether you’re in finance, technology, or retail, you can leverage our small business contact data to identify new opportunities, expand your customer base, and build strong partnerships.

    Seamless Integration

    Our small business database seamlessly integrates with our broader data collection framework. This allows you to access additional valuable insights, such as market trends and competitor analysis, to inform your business decisions.

    Building Strong Relationships

    Connecting with small business owners is about building relationships. Our data helps you identify key decision-makers and reach out to them directly. Whether you’re offering products, services, or partnerships, our data empowers you to connect with the right people at the right time.

    Privacy and Security

    We are committed to protecting your data and the privacy of our contacts. Our data collection and handling processes adhere to strict privacy regulations, ensuring your peace of mind.

    Continuous Improvement

    We are constantly enhancing our small business contact data solution to provide you with the most accurate and up-to-date information. Our commitment to quality ensures that you have the best possible data to support your business growth.

    Global Coverage

    Our small business contact data covers a wide range of countries, including the United States, Canada, the United Kingdom, Germany, France, Australia, Japan, China, India, Brazil, and many more.

    Industries We Cover

    Our data spans across various industries, including finance, technology, healthcare, retail, energy, transportation, hospitality, and more.

    Comprehensive Business Information

    In addition to contact details, our database includes valuable information about business size and revenue, enabling you to target specific segments of the small business market.

    Our Global Small Business Contact Data is more than just a list of contacts; it’s a powerful tool to help you achieve your business goals. By providing accurate, comprehensive, and actionable data, we empower you to connect with small businesses, build lasting relationships, and drive growth.

  13. ONS Postcode Directory (February 2024) for the UK

    • geoportal.statistics.gov.uk
    Updated Feb 28, 2024
    + more versions
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    Office for National Statistics (2024). ONS Postcode Directory (February 2024) for the UK [Dataset]. https://geoportal.statistics.gov.uk/datasets/e14b1475ecf74b58804cf667b6740706
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    Dataset updated
    Feb 28, 2024
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2024 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England, Wales and Northern Ireland. It helps support the production of area-based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 231 MB) Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.

  14. p

    UK WhatsApp Phone Number Data

    • listtodata.com
    .csv, .xls, .txt
    Updated Jul 17, 2025
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    List to Data (2025). UK WhatsApp Phone Number Data [Dataset]. https://listtodata.com/uk-whatsapp-data
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    .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
    United Kingdom
    Variables measured
    phone numbers, Email Address, full name, Address, City, State, gender,age,income,ip address,
    Description

    UK whatsapp number list is one of the latest tools that will meet your needs. Moreover, this directory is the latest creation of List to Data. With this, you can contact the corporate leaders of your target firms, who might assist you in achieving your objective. Furthermore, we keep the UK whatsapp number list GDPR standards and have well-constructed verified data. We regularly update the data as well. Not to mention that it will allow you to interact with potential investors. It will therefore assist you in generating more sales leads and boosting your company’s revenue. UK whatsapp phone number data contains the contact addresses of the people who live in the country. You can get thousands of contacts and other information in this database. UK whatsapp phone number data can boost digital marketing campaigns. Running an online campaign is crucial right now if you want to stay in the spotlight. You cannot accomplish anything without the internet and digital marketing. Indeed, we all understand that at this time it is a must to communicate. We cannot overlook the fact that gadgets are used by everyone. Because of this, we must face reality and update our marketing strategy.

  15. List of .gov.uk domain names

    • gov.uk
    Updated Jan 13, 2025
    + more versions
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    Government Digital Service (2025). List of .gov.uk domain names [Dataset]. https://www.gov.uk/government/publications/list-of-gov-uk-domain-names
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    Dataset updated
    Jan 13, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Government Digital Service
    Description

    The UK government manages the .gov.uk domain name.

    Public sector bodies may register .gov.uk domain names for a variety of reasons. The rules governing which organisations can register for a .gov.uk domain names, how to choose appropriate names and manage them are set out in the apply for a .gov.uk domain name: step by step.

    About the list of .gov.uk domains

    The list of .gov.uk domain names is available in CSV format with 3 columns.

    1. Domain name: the domain name registered for use, which should work with or without a preceding ‘www’.

    2. Owner: the name of the organisation that owns the domain name, for example a central government department or local authority.

    3. Representing: the organisation the domain name is registered for, often the same as the owner but could be an agency or other organisation the owner is registering the domain on behalf of.

  16. NHS Contact Database

    • infinity-db.co.uk
    xlsx
    Updated Oct 25, 2022
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    Infinity Databank (2022). NHS Contact Database [Dataset]. https://infinity-db.co.uk/nhs-database-contact-us/
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    xlsxAvailable download formats
    Dataset updated
    Oct 25, 2022
    Dataset authored and provided by
    Infinity Databank
    License

    https://infinity-db.co.uk/https://infinity-db.co.uk/

    Description

    With NHS contact database selections covering CEO's, Directors and Management decision makers, responsive marketing lists can be purchased by job role, seniority level, size and region.

  17. Contact Databases - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Aug 30, 2013
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    ckan.publishing.service.gov.uk (2013). Contact Databases - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/contact-databases
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    Dataset updated
    Aug 30, 2013
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Staff details including addresses and telephone numbers

  18. G

    List of Companies Registered In Glasgow

    • dtechtive.com
    • find.data.gov.scot
    csv
    Updated May 29, 2025
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    Glasgow City Council (uSmart) (2025). List of Companies Registered In Glasgow [Dataset]. https://dtechtive.com/datasets/39425
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    csv(0.0063 MB), csv(10.3079 MB)Available download formats
    Dataset updated
    May 29, 2025
    Dataset provided by
    Glasgow City Council (uSmart)
    Area covered
    Glasgow
    Description

    The 20,000+ registered companies with a registered address in Glasgow. The information is extracted from Companies House. It includes the company name, number, category (private limited, partnership), registered address, postcode, industry (SIC code), status (ex: active or liquidation), incorporation date... It is likely that some companies may just lie off Glasgow City Council's boundary. If you find a problem in the data, you can check the source either in the full UK list or by looking up a company or let us know. The data dictionary supplied by Companies House can be viewed here. There is also a data dictionary with field names and meanings contained in the resources. This dataset does not imply: - a partnership with Companies House - an endorsement by Companies House - a product approval by Companies House Licence: None glasgow-post-codes-py.txt - https://dataservices.open.glasgow.gov.uk/Download/Organisation/cc57ac4b-12d5-43b1-ad25-434638eec18c/Dataset/3093e34f-6dcb-4980-840b-965421c1b091/File/c2634107-bd43-4537-adb8-9046aeed844e/Version/c8fde78e-5396-4293-ac35-6f6c96a5d642

  19. w

    return-address.co.uk - Historical whois Lookup

    • whoisdatacenter.com
    csv
    Updated Aug 18, 2023
    + more versions
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    AllHeart Web Inc (2023). return-address.co.uk - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/return-address.co.uk/
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    csvAvailable download formats
    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Oct 3, 2025
    Area covered
    United Kingdom
    Description

    Explore the historical Whois records related to return-address.co.uk (Domain). Get insights into ownership history and changes over time.

  20. Doctors Database

    • infinity-db.co.uk
    xlsx
    Updated Sep 30, 2022
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    Infinity Databank (2022). Doctors Database [Dataset]. https://infinity-db.co.uk/nhs-doctors-database/
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    xlsxAvailable download formats
    Dataset updated
    Sep 30, 2022
    Dataset authored and provided by
    Infinity Databank
    License

    https://infinity-db.co.uk/https://infinity-db.co.uk/

    Description

    Our NHS doctors database holds current medical and clinical specialists, and has valid doctors email addresses, for responsive clinical marketing and medical research.

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Huayu Zhang; Arlene Casey; Imane Guellil; Víctor Suárez-Paniagua; Clare MacRae; Charis Marwick; Honghan Wu; Bruce Guthrie; Beatrice Alex (2023). Datasheet1_FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database.pdf [Dataset]. http://doi.org/10.3389/fdgth.2023.1186208.s001

Datasheet1_FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database.pdf

Related Article
Explore at:
pdfAvailable download formats
Dataset updated
Nov 28, 2023
Dataset provided by
Frontiers
Authors
Huayu Zhang; Arlene Casey; Imane Guellil; Víctor Suárez-Paniagua; Clare MacRae; Charis Marwick; Honghan Wu; Bruce Guthrie; Beatrice Alex
License

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

Description

IntroductionLinking free-text addresses to unique identifiers in a structural address database [the Ordnance Survey unique property reference number (UPRN) in the United Kingdom (UK)] is a necessary step for downstream geospatial analysis in many digital health systems, e.g., for identification of care home residents, understanding housing transitions in later life, and informing decision making on geographical health and social care resource distribution. However, there is a lack of open-source tools for this task with performance validated in a test data set.MethodsIn this article, we propose a generalisable solution (A Framework for Linking free-text Addresses to Ordnance Survey UPRN database, FLAP) based on a machine learning–based matching classifier coupled with a fuzzy aligning algorithm for feature generation with better performance than existing tools. The framework is implemented in Python as an Open Source tool (available at Link). We tested the framework in a real-world scenario of linking individual’s (n=771,588) addresses recorded as free text in the Community Health Index (CHI) of National Health Service (NHS) Tayside and NHS Fife to the Unique Property Reference Number database (UPRN DB).ResultsWe achieved an adjusted matching accuracy of 0.992 in a test data set randomly sampled (n=3,876) from NHS Tayside and NHS Fife CHI addresses. FLAP showed robustness against input variations including typographical errors, alternative formats, and partially incorrect information. It has also improved usability compared to existing solutions allowing the use of a customised threshold of matching confidence and selection of top n candidate records. The use of machine learning also provides better adaptability of the tool to new data and enables continuous improvement.DiscussionIn conclusion, we have developed a framework, FLAP, for linking free-text UK addresses to the UPRN DB with good performance and usability in a real-world task.

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