Search for a business by name. You can obtain business information and then proceed to purchase a certificate of good standing or other documents. The purpose of this search is simply to determine whether a company/entity exists and to provide basic information on the company/entity.

This is the HANA database of handwritten personal names as introduced in the paper HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition (official code available here). The minipics are from police register sheets from Copenhagen which cover all adults (above the age of 10) residing in the capital of Denmark, Copenhagen, in the period from 1890 to 1923.

The labels in the .csv files refer to the main character on the original register sheets. Each row contains a reference to the corresponding image as the first element and the name as the second element. The HANA database consists of 1,105,904 images with corresponding labels. The last name is always only one word and if multiple last names were transcribed, the last of these were chosen as the last name, while the remaining were moved to the end of the first names. The first names can consist of up to nine individual words.

All names are written in lower case letters and contain only characters which are used in Danish words, which implies 29 alphabetic characters i.e., this database includes the letters æ, ø, and å.

If anything is missing or if you are interested in the original documents from Copenhagen Archives to improve, e.g., the segmentation, feel free to reach out at sfw@sam.sdu.dk.

We wish you the best of luck.

Provides comprehensive coverage for the major Chinese romanization systems and their variants, and if needed can be expanded considerably with dialectical variants (Cantonese, Hakka, Hokkien, etc.).

The Place Name database is maintained by Survey and Mapping Office of LandsD. The original source of the Database is based on “A Gazetteer of Place Names” with the first edition published in 1960, containing placename features mapped at 1:25,000. The Database stores and maintains names of settlement (e.g. area, town, village), hydrographic features (e.g. river, channel), and topographic features (e.g. relief).

This list is a work-in-progress and will be updated at least quarterly. This version updates column names and corrects spellings of several streets in order to alleviate confusion and simplify street name research. It represents an inventory of official street name spellings in the City of New Orleans. Several sources contain various spellings and formats of street names. This list represents street name spellings and formats researched by the City of New Orleans GIS and City Planning Commission.Note: This list may not represent what is currently displayed on street signs. City of New Orleans official street list is derived from New Orleans street centerline file, 9-1-1 centerline file, and CPC plat maps. Fields include the full street name and the parsed elements along with abbreviations using US Postal Standards. We invite your input to as we work toward one enterprise street name list.Status: Current: Currently a known used street name in New Orleans Other: Currently a known used street name on a planned but not developed street. May be a retired street name.

.NAME.TR Whois Database, discover comprehensive ownership details, registration dates, and more for .NAME.TR TLD with Whois Data Center.

Snag Your Name LLC Whois Database, discover comprehensive ownership details, registration dates, and more for Snag Your Name LLC with Whois Data Center.

This dataset compiles the first version of the worldwide gender-name dictionary (WGND) including 6.2 million names for 182 different countries to disambiguate the gender.

The first names file contains data on the first names attributed to children born in France since 1900. These data are available at the level of France and by department. The files available for download list births and not living people in a given year. They are available in two formats (DBASE and CSV). To use these large files, it is recommended to use a database manager or statistical software. The file at the national level can be opened from some spreadsheets. The file at the departmental level is however too large (3.8 million lines) to be consulted with a spreadsheet, so it is proposed in a lighter version with births since 2000 only. The data can be accessed in: - a national data file containing the first names attributed to children born in France between 1900 and 2022 (data before 2012 relate only to France outside Mayotte) and the numbers by sex associated with each first name; - a departmental data file containing the same information at the department of birth level; - a lighter data file that contains information at the department level of birth since the year 2000.

Hongkong Domain Name Information Management Co., Ltd. Whois Database, discover comprehensive ownership details, registration dates, and more for Hongkong Domain Name Information Management Co., Ltd. with Whois Data Center.

Comprehensive dataset of 1 Newsstands in [no name], Russia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

115386 Global import shipment records of Name plates with prices, volume & current Buyer’s suppliers relationships based on actual Global import trade database.

Polygon data set with the labels for the geonames from the topographic maps of the BEV Important fields and data types of the attribute table: Data source: geonam_text.shp

Name lists used for data augmentation for testing biases (in terms of error disparities) of Name Entity Recognition in Danish NLP pipelines.

The following lists are from Statistics Denmark:

• majority_first_names_2023_men.csv
• majority_first_names_2023_women.csv
• majority_last_names_2023.csv

The following lists are from Eva Villarsen Meldgaard. 2005. Muslimske fornavne i danmark. Publisher: Københavns Universitet

• minority_first_names_men.csv
• minority_first_names_men.csv

The list majority_unisex_names.csv is retrieved from The Agency of Family Law in Denmark, and the numbers are retrieved from the above lists from Statistics Denmark.

The list minority_last_names.csv is retrieved from FamilyEducation.

The list overlapping_names.csv contains first names, which both occur on the list of majority names and the list of minority names.

Have you ever wondered where a place got its name from? This page is the beginning of a much larger project that will attempt to geospatially document as much as we are able to regarding Tennessee's history of place names. The data as it currently exists represents many years of work by my friend, the geographer and author, Allen Coggins. He provided me with an Access database with 11,720 records of places with information including: name origin, place description, notes, and the starting and ending dates of any associated post offices. This is the work that he managed to digitize from a card catalog (now in my possession). I estimate that the records in the database represent about 1/3rd of the card catalog's records. The data I present here relates to 2,349 records which I was able to easily (enough) match to the GNIS dataset (which has 77,746 Tennessee records in the version that I accessed 2/28/2025).The sheer volume of this project means that this will take years to develop. Index cards will need to be scanned and digitized. Records will need to be matched and georeferenced. All this will only be to catch up to where Allen got us. Surely we will learn more about origins of place names as the project progresses. We will need to accurately document our work along the way.

This data contains Corporation and Other Business Entity Name information for each entity. Each record contains a current or previous name for an entity in the electronic database. The records include the Department of State ID number, Date Filed, Name Type and Name Status.

Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name Development database.

Street Name Master List - contains all the reserved and active street names.

Name Thread Corporation Whois Database, discover comprehensive ownership details, registration dates, and more for Name Thread Corporation with Whois Data Center.

This data set contains disambiguated publication data from zbMATH (www.zbmath.org) for use in author name disambiguation (AND). It covers 28321 publications with 33810 authorship records, authored by 2946 distinct authors. Authorship records have been manually annotated with author identifiers.

This download includes additional data sets for advanced, selective disambiguation.

For details, see "Mark-Christoph Müller, Florian Reitz, and Nicolas Roy (2017): Data Sets for Author Name Disambiguation: An Empirical Analysis and a New Resource", Scientometrics, doi:10.1007/s11192-017-2363-5.