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Search results matching "Names"
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German Administrative Boundaries Geodata sql

What information does the dataset contain The files contain the names and administrative boundaries of all German administrative units, so classified: * 11.329 Communities (municipalities, cities, joint communities, independent municipalities) * 402 Counties / urban districts * 16 Federal states Furthermore, the units are organized hierarchically , so that one can easily see which county a community falls under, or which federal state a county is in. The population is also included. What data fields/columns are included Classification; Name; Population; County Code; Federal State ID Which file format is the data available in .sql - You will receive the data as a database export for MySQL . What is the source of the data The data was extracted from OpenStreetMap (http://www.openstreetmap.org/) and is published under CC-BY-SA 2.0 license (http://creativecommons.org/licenses/by-sa/2.0/).Each section of the data must also stay under this license; the original source must be cited with each use.The price listed below includes the processing and formatting of the data, and is not a licensing fee. The OpenStreetMap data can be used without a licensing fee.

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Shapefile Germany json kml shp sql wkt

The files contain vector data on the geopolitical boundaries of Germany in various and universal geodata formats. Scale: 1:1 Million. Projection: WGS84. The following data formats are available: shapefile for ESRI ArcGIS, KML for Google Maps/Google Earth, GeoJSON for web applications or Quantum GIS, WKT as a text presentation, SQL for Mysql-Geometry. Thereby almost every GIS system should be able to work with the data. Sample data: Name: Deutschland Shape type: 25 (PolygonM) Field names: Name Field types: String:50 Number of shapes: 1 Begin shape 1 of 1 Shape id: 1 Shape type: 25 (PolygonM) Shape record: Deutschland Vertex: 8.712532 47.692883 0.000000 0.000000 Vertex: 8.703282 47.695909 0.000000 0.000000 Vertex: 8.696174 47.696222 0.000000 0.000000 Vertex: 8.670170 47.688208 0.000000 0.000000 MULTIPOLYGON(((13.1271364 54.4694154,13.1207806 54.4486293,13.124013 54.4440709,13.1370545 54.4445353,13.1458005 54.4479173,13.2021202 54.4696251,13.2157373 54.4686868,13.2183625 54.4653273,13.2249065 54.4670648,13.2279825 54.4742454,13.2234129 54.482959,13.2285538 54.485849,13.2267011 54.4869364,13.2080833 54.4855757,13.1980274 54.4893109,13.2000436 54.4921834,13.1971271 54.4937108,13.1811625 54.4947668,13.1563698 54.4890536

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Polish Last Names csv txt sql xls

This dataset contains a list of common Polish last names and can be used for checking web forms as well as name research. There is a total of about 100,000 last names with their approximate count and frequency in Poland. The file is available in .SQL, .CSV, and .XLS for further use and processing. Sample data: "1";"Nowak";"41747";"0.005264445" "2";"Wójcik";"20424";"0.002575539" "3";"Kowalczyk";"20057";"0.002529259" "4";"Woźniak";"18472";"0.002329385" "5";"Kowalski";"14901";"0.001879069" "6";"Kowalska";"13911";"0.001754226" "7";"Mazur";"13467";"0.001698236" "8";"Kaczmarek";"13413";"0.001691427" "9";"Krawczyk";"13394";"0.001689031" "10";"Wiśniewski";"11305";"0.0014256" "11";"Zając";"11090";"0.001398488" "12";"Król";"10915";"0.00137642" "13";"Wiśniewska";"10719";"0.001351704" "14";"Wieczorek";"10381";"0.001309081"

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German Last Names csv txt sql txt

This dataset contains a list of common German last names and can be used for checking web forms, data cleansing, marketing, as well as name research. There is a total of about 280,000 last names with their approximate frequency in Germany. The file is available in .SQL for databases, .TXT for full text, and .CSV and .XLS for Microsoft Excel. Sample data: Müller Schmidt Schneider Fischer Weber Meyer Wagner Becker Schulz Hoffmann Schäfer Bauer Koch Richter .... INSERT INTO deutscheNachnamen (nachname, count) VALUES ('Müller', 0.0093420892867869), ('Schmidt', 0.00686185376133498), ('Schneider', 0.00425821153864757), ('Fischer', 0.003572982518439), ('Weber', 0.00316020458807341), ('Meyer', 0.00297253812926703), ('Wagner', 0.00293376893138738), ('Becker', 0.00266525361400467), ('Schulz', 0.00261931174668809), ('Hoffmann', 0.00255133691017806),

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List of German Domain Names - 2013 Update zip

What does this dataset contain You will receive an updated list of almost all German domain names. The list was created in April 2013 through individual web crawling. All domain names listed were registered at that time and responding to web requests on port 80. Some domains may only be place holders instead of full websites. Possible uses for the list include search engines, web crawling applications, internet marketing, domain testing, or other web projects requiring a comprehensive list of all domains in Germany. What data fields are included only the domain name (example: www.heise.de) Which file formats are available compressed text file How many entries does the dataset have over 9.4 million entries When was the data compiled April 2013 What is the source of the data Individual web crawling Sample data: domainwegschnapper.de domain-weiterleiten.de domainweiterleitung.de domain-weiterleitung.de domainweiterleitungen.de domain-weiterleitungen.de domainwelt24.de domain-welt.de domainwelten.de domainweltkarte.de ..

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Full List of .pro Domains csv txt sql txt

A complete list of all domains under .pro (professional) as a full text. What data fields/columns are included Registered domain name (Note: There is not necessarily a website at every domain) Which file format is the data available in TXT, CSV, SQL How many entries does the dataset have 108,425 lines When was the data compiled January 2012 Sample Data: heiraten.pro heirat.pro heiress.pro heir.pro heiser.pro heisman.pro heizkosten.pro heizoel.pro heizung.pro hekwerken.pro hekwerk.pro helderziendenlive.pro helderzienden.pro helena.pro helfen.pro helga.pro helicopteros.pro

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List of Domains for Chinese Government Websites txt

The file contains a list, displayed as full text, of the websites under the “.gov.cn” top level domain (the websites and domains of Chinese government institutions). There is not necessarily a website attached to each of the 7,906 domain names. Sample data: www.overseas.xm.gov.cn. www.paxm.xm.gov.cn. www.pixian.chengdu.gov.cn. www.pj.suzhou.gov.cn. www.pl.gansu.gov.cn. www.pljingchuan.gansu.gov.cn.

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