A comprehensive dataset of place names, roads numbers and postcodes for Great Britain. Accurate locations Let your customer-facing staff find places quickly when talking to callers. OS Open Names provides the accurate locations of streets and postcodes in Great Britain. Place name data Quickly look up places and roads with two names. OS Open Names contains place name data in English and their Welsh, Scots or Gaelic alternatives. Simple licensing Save money and benefit from simple licensing terms. OS Open Names is free to view, download and use for commercial, education and personal purposes.

Variety of freely available Ordnance Survey digital mapping datasets including postcodes and administration boundaries. These datasets can be useful in helping to map a number of other datasets available on the London Datastore such as Borough or Ward level data.

The following OS products are available to download from the OS OpenData website:

• MiniScale®
• 1:250 000 Scale Colour Raster
• OS Street View®
• Boundary-Line™
• Code-Point Open®
• 1:50 000 Scale Gazetteer
• Strategi®
• Meridian™ 2
• OS Locator™
• OS Terrain 50
• Land-Form PANORAMA®
• OS VectorMap® District (vector)
• OS VectorMap® District (raster)

https://www.ordnancesurvey.co.uk/business-and-government/products/finder.html?Licensed%20for=OpenData%20(Free)&withdrawn=on">Click here to visit the Ordnance Survey OpenData pages

https://www.ordnancesurvey.co.uk/opendatadownload/products.html">Click here to download the Ordnance Survey OpenData files

Snapshot img

The automotive infotainment OS market size has the potential to grow by USD 247.84 million during 2021-2025, and the market’s growth momentum will accelerate at a CAGR of 9.70%.

This report provides a detailed analysis of the market by product (QNX, Linux, Microsoft Windows Embedded, and others), geography (APAC, Europe, MEA, North America, and South America), and key vendors.

Market Overview

Browse TOC and LoE with selected illustrations and example pages of Automotive Infotainment OS Market Request a FREE sample now!

Market Competitive Analysis

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

Alibaba Group Holding Ltd. Alphabet Inc. Apple Inc. Baidu Inc. BlackBerry Ltd. BMW AG Green Hills Software LLC Microsoft Corp. The Linux Foundation Wind River Systems Inc.

The automotive infotainment OS market is concentrated and the vendors are deploying various organic and inorganic growth strategies to compete in the market. Click here to uncover other successful business strategies deployed by the vendors.

The market players also significantly leverage external market drivers such as increasing use of automotive infotainment OS as a differentiator and medium to reduce the cost of additional features to achieve growth opportunities. However, factors such as rising adoption of smartphone-based automotive infotainment system as a cost-effective solution will challenge the growth of the market participants. To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Download a free sample of the automotive infotainment OS market forecast report for insights on complete key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies,

This automotive infotainment OS market analysis report also provides detailed information on the upcoming trends and challenges that will influence market growth. This will help companies create strategies to make the most of future growth opportunities.

Automotive Infotainment OS Market: Key Drivers and Trends

The use of automotive infotainment OS as a differentiator and medium to reduce the cost of additional features will drive the market growth during the forecast period. Several manufacturers in the automotive industry are actively invoked in the development of the infotainment system. Manufacturers of automotive infotainment systems are shifting toward the adoption of PC-like architectural concept. Herein, the functionality of the system is dependent on the main central processing unit (CPU). Consequently, the OS or software used in the system acts as the product differentiator among the brands. Android Automotive offers plentiful features to the vehicle infotainment system, including application support, touch, and notifications. Moreover, the automotive manufacturers look to control the OS on which their products run on and use it as a product differentiator to gain a competitive edge over their competitors.

The growing demand for automotive infotainment from entry-level and mid-segment vehicles will also fuel the growth of the automotive infotainment OS market size. The automotive infotainment OSs are penetrating extensively into the automotive market, with automotive OEMs developing low-cost solutions for entry-level vehicles. With increasing awareness and rising demand for telematics and built-in connectivity, automotive manufacturers have started to equip their mid-range vehicles with embedded infotainment OSs as standard features. In addition, a few of the leading automotive manufacturing companies have collaborated with infotainment OSs and software manufacturers to provide infotainment solutions in their mid-range vehicles. The demand for applications such as navigation systems and hands-free calling in mid-segment and entry-level vehicles is expected to boost the adoption of automotive infotainment OS significantly, in turn, driving the market growth.

Grab your Free Sample now to unlock further information on other key market drivers

Automotive Infotainment OS Market: Segmentation by Geography

For more insights on the market share of various regions Request for a FREE sample now!

33% of the market’s growth will originate from Europe during the forecast period. Germany is a key market for automotive infotainment OS in Europe. Market growth in this region will be faster than the growth of the market in MEA, North America, and South America.

The increasing demand for advanced infotainment OS is one of the prime factors that will facilitate the automotive infotainment OS market growth in Europe over the forecast period. To g

The advent of powerful machine learning algorithms as well as the availability of high volume of pharmacological data has given new fuel to QSAR, opening new unprecedented options for deriving highly predictive models for assisting the rationale design of new bioactive compounds, for screening and prioritizing large molecular libraries, and for repurposing new drugs toward new clinical uses. Here, we present PoseidonQ (an acronym for Personal Optimization Software for Efficient Implementation and Derivation of Online QSAR), a user-friendly software solution designed to simplify the derivation of the QSAR model for drug design and discovery. PoseidonQ incorporates 22 machine learning algorithms, 17 types of molecular fingerprints, and 208 RDKit molecular descriptors and enables the quick derivation of both regression and classification models along with a calculated and easily interpretable applicability domain. Importantly, the platform is automatically linked to the latest version of the ChEMBL database, thus providing streamlined access to large amounts of curated bioactivity data. Importantly, the user is also given the option of gathering high-quality experimental data based on customizable filtering settings. Noteworthy, PoseidonQ facilitates the deployment of trained QSAR models as web-based applications through seamless integration with Streamlit Cloud and GitHub, empowering users to share, refine, and integrate models effortlessly. Interestingly, the translation of QSAR models into web-based applications makes them free accessible, portable, and ready for screening large volumes of new data without limits. By unifying data preparation, model generation, and deployment into an intuitive workflow, PoseidonQ makes advanced QSAR modeling for drug design and discovery accessible to a wide audience of researchers irrespective of their skill levels. PoseidonQ bridges the gap between complex machine learning techniques and practical drug discovery applications, enhancing the efficiency, collaboration, and adoption of QSAR approaches in modern drug discovery programs. PoseidonQ is available for Windows and Linux (ubuntu 22.04 distro) operating systems and can be downloaded for free at https://github.com/Muzatheking12/PoseidonQ.

ordnance survey code-point (postcode points) - open data: free and open postcode location data. Can be used for geographical analysis, simple route planning, asset management and much more.Code-Point® Open | Map Postcode Data | Free OS Data downloads

Introduction The dataset provides detailed information about UK Power Networks' Grid and Primary Sites. It includes key characteristics such as:

Spatial coordinates of each site Year commissioned Asset counts against each site Power transformer count Local authority information Winter and summer demand Transformer ratings

This data is useful for understanding the infrastructure and capacity of the electricity network across its regions.

Methodological Approach

Source: Various internal data domains - geospatial, asset, long term development statement; as well as openly available data from the Ordnance Survey and Office of National Statistics Manipulation: Various data characteristics were combined together using Functional Locations (FLOCs)

Quality Control Statement The data is provided "as is".

Assurance Statement The Open Data team has checked the data against source to ensure data accuracy and consistency. The data domain owners have checked their respective data aspects.

Other Contains data from Office for National Statistics licensed under the Open Government Licence v.3.0. Local Authority District (2022) to Grouped Local Authority District (2022) Lookup for EW - data.gov.uk

Contains Ordnance Survey data Crown copyright and database right [2019-]. Free OS OpenData Map Downloads | Free Vector & Raster Map Data | OS Data Hub

Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/To view this data please register and login.

I am here to facilitate users with an accurate method to convert Qmail Maildir to PDF format with all attachments. Saving data in PDF document is always been beneficial for the users as there are multiple advantages of it. PDF format is the securest one and able to store huge elements of data like text, videos, images, links, hyperlinks, audio and even movies etc. No one can alter/edit the Maildir data, and it can be locked by applying password facility, this saves PDF files from any unauthorized access.

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No doubt that this conversion method to import Maildir to PDF is the most convenient one. It enables moving multiple Maidir files to PDF with so much ease and without any error. Users may simply choose multiple Maildir files on a selective basis. The software does preserve the attachments securely during migration. And the folder structure of Maildir files of Tmp, New, and Cur, also be unchanged, and users get all these in its original form in PST file. The software provides a separate option to decide the preferred location for saving output files. There are also filter options like to, date range, from, etc. The software imports Maildir and also Maildir ++ files impeccably from Dovecot, Postfix, Mutt, and Kmail etc.

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MBOX Converter to convert multiple MBOX files to various file formats and web-based applications.

MBOX Converter for Windows OS Users

MBOX files are supported by 20+ email clients. MBOX Converter support MBOX mailboxes conversion from all MBOX supported email application. With this solution users can easily export batch MBOX files to PST, IMAP, NSF, PDF, HTML, MSG, EMLX, EML, RTF, DOC, etc. MBOX Converter for Win provides four modes to view MBOX file data like Hex View, Header View, Raw View, and HTML View. The tool also provides an option to export the MBOX mailbox to Gmail, Exchange Server, Office 365, Outlook.com, Thunderbird, Windows Live Mail, etc. Protect emails properties during the MBOX file conversion process and also maintain the original folder structure.

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MEASUR your energy savings with the free DOE MEASUR software The Department of Energy (DOE), with Oak Ridge National Laboratory (ORNL), released version 1.0 of their energy efficiency software tool MEASUR (Manufacturing Energy Assessment Software for Utility Reduction). MEASUR has been available for several years as a beta version, being tested by industry experts and real users, and will continue to be updated and improved in the coming years. It is an integrated suite of tools to aid manufacturers in improving the efficiency of energy systems and equipment within a plant, including motors, pumps, fans, process heating, steam, and compressed air. Additionally, there are modules for wastewater energy analysis and to help perform energy treasure hunts. Several calculators are also included, allowing users to independently perform smaller calculations and analyses (such as estimating pump head, performing a fan traverse analysis, estimating waste heat recovery potential, and cataloging compressed air leaks). The MEASUR modules are based on previous DOE software tools that have been used by industry since the early 2000s (such as MotorMaster, AirMaster+, PSAT, PHAST, and FSAT). The original tools only ran on Windows operating systems, and by Windows 10, most of them were inoperable. DOE started their energy efficiency software tool revitalization effort in 2016, first with PSAT (for pumps), then began to integrate the other tools and expand their functionality and utility. The new MEASUR suite provides an extensively more user-friendly, modern, and versatile set of tools. All the assessment modules and most of the calculators have several visual components and graphs and detailed help text for every user input. To help reach international users, the tool utilizes Google translate and users can easily change unit systems, even converting existing user inputs if desired. The assessment files can be organized within the internal file system and easily shared to other users, regardless of their operating system. The entire suite is free, open-source, and can be downloaded on Windows, Mac, or Linux operating systems.

Context

Microsoft is an American company that develops and distributes software and services such as: a search engine (Bing), cloud solutions and the computer operating system Windows.

Market cap

Market capitalization of Microsoft (MSFT)

Market cap: $3.085 Trillion USD

As of February 2025 Microsoft has a market cap of $3.085 Trillion USD. This makes Microsoft the world's 2nd most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

Revenue

Revenue for Microsoft (MSFT)
Revenue in 2024 (TTM): $254.19 Billion USD

According to Microsoft's latest financial reports the company's current revenue (TTM ) is $254.19 Billion USD. In 2023 the company made a revenue of $227.58 Billion USD an increase over the revenue in the year 2022 that were of $204.09 Billion USD. The revenue is the total amount of income that a company generates by the sale of goods or services. Unlike with the earnings no expenses are subtracted.

Earnings

Earnings for Microsoft (MSFT)
Earnings in 2024 (TTM): $110.77 Billion USD

According to Microsoft's latest financial reports the company's current earnings are $254.19 Billion USD. In 2023 the company made an earning of $101.21 Billion USD, an increase over its 2022 earnings that were of $82.58 Billion USD. The earnings displayed on this page are the earnings before interest and taxes or simply EBIT.

End of Day market cap according to different sources On Feb 2nd, 2025 the market cap of Microsoft was reported to be:

• $3.085 Trillion USD by Nasdaq

• $3.085 Trillion USD by CompaniesMarketCap

• $3.085 Trillion USD by Yahoo Finance

Content

Geography: USA

Time period: March 1986- February 2025

Unit of analysis: Microsoft Stock Data 2025

Variables

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

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The dataset appears to focus on a collection of fitness applications, providing detailed information about various features, user ratings, and feedback. The columns include:

App Name: The name of the fitness application. User Rating (out of 5): The average rating given by users. OS Supported: The operating systems the app supports (e.g., iOS, Android). Key Features: A list of notable features for each app (e.g., calorie counting, workout plans). No. of Downloads (in millions): The total number of times the app has been downloaded. In-App Purchases: Indicates whether the app offers in-app purchases. Subscription Model: Information about the app's subscription options (monthly, yearly, or free). User Satisfaction (%): The percentage of users who are satisfied with the app. Common User Feedback: General user comments and feedback about the app (e.g., easy to use, accurate tracking). Positive Feedback: Specific positive aspects highlighted by users. Negative Feedback: Common criticisms or drawbacks users have encountered. This dataset provides a comprehensive comparison of popular fitness apps, allowing for an analysis of their popularity, features, pricing models, and user experiences. It includes both qualitative data (e.g., user feedback) and quantitative data (e.g., downloads, ratings, user satisfaction).

This Data is free to download under the Open Government License in order to access these files you will need software that is able to open Shapefiles. Free software is available such as QGIS. Upon accessing this Licensed Data you will be deemed to have accepted the terms of the Open Government Licence for Public Sector Information Contains OS data © Crown copyright and database rights [2023] OS [AC0000849998]

This dataset comprises river centrelines, digitised from OS 1:50,000 mapping. It consists of four components: rivers; canals; surface pipes (man-made channels for transporting water such as aqueducts and leats); and miscellaneous channels (including estuary and lake centre-lines and some underground channels). This dataset is a representation of the river network in Great Britain as a set of line segments, i.e. it does not comprise a geometric network.

PC Game Requirements Dataset

This dataset contains information on the PC requirements for a variety of different games. Each row represents a single game, and the following attributes are included:**

• Game: The name of the game
• Memory: The minimum amount of memory (RAM) required to run the game
• Graphics Card: The minimum required graphics card to run the game
• CPU: The minimum required central processing unit (CPU) to run the game
• File Size: The size of the game's installation file
• OS: The minimum required operating system to run the game

This dataset can be used to help determine whether a PC meets the requirements to run a particular game. It is important to note that meeting the minimum requirements does not guarantee optimal performance and that higher specifications may be needed for the best gaming experience.

The code used to scrape the data can be found here.