Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Terrain Data subset for the UAE region V002 contains Terrain-projected TOA Radiance, resampled at the surface and topographically corrected.

The dataset comprises novel aspects specifically, in terms of student grading in diverse educational cultures within the multiple countries – Researchers and other education sectors will be able to see the impact of having varied curriculums in a country. Dataset compares different levelling cases when student transfer from curriculum to curriculum and the unreliable levelling criteria set by schools currently in an international school. The collected data can be used within the intelligent algorithms specifically machine learning and pattern analysis methods, to develop an intelligent framework applicable in multi-cultural educational systems to aid in a smooth transition “levelling, hereafter” of students who relocate from a particular education curriculum to another; and minimize the impact of switching on the students’ educational performance. The preliminary variables taken into consideration when deciding which data to collect depended on the variables. UAE is a multicultural country with many expats relocating from regions such as Asia, Europe and America. In order to meet expats needs, UAE has established many international private schools, therefore UAE was chosen to be the location of study based on many cases and struggles in levelling declared by the Ministry of Education and schools. For the first time, we present this dataset comprising students’ records for two academic years that included math, English, and science for 3 terms. Selection of subject areas and number of terms was based on influence from other researchers in similar subject matters.

This dataset is about universities in the United Arab Emirates. It has 3 rows. It features 15 columns including country, city, total students, and domain.

Arabic(UAE) Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

This dataset is about companies in the United Arab Emirates. It has 11,448 rows. It features 30 columns including city, country, employees, and employee type.

This dataset contains "Distribution of Land Use by Emirate" for 2015-2021. Data from Federal Competitiveness and Statistics Authority. Follow datasource.kapsarc.org for timely data to advance energy economics research.- Total in some tables may not add up due to rounding.

The ‘BaseMapEnglish’ service for Abu Dhabi is a comprehensive reference base with Fundamental Geospatial Data Sets (FGDS) about the entire emirate. The service includes foundation geospatial information such as Abu Dhabi emirate boundary, Abu Dhabi municipalities’ jurisdictional areas, international boundary to KSA and Oman, Oasis boundaries, points of interests, cities, airports, seaports, roads, bridges, hydrographic features and vegetation areas. Additionally, features such as building extents, walls/sustaining walls and fences are included in this service. Environmental Systems Research Institute (ESRI) data sets for the boundaries of continents and other nations are also included in this service.

Point-of-interest (POI) is defined as a physical entity (such as a business) in a geo location (point) which may be (of interest).

We strive to provide the most accurate, complete and up to date point of interest datasets for all countries of the world. The United Arab Emirates POI Dataset is one of our worldwide POI datasets with over 98% coverage.

This is our process flow:

Our machine learning systems continuously crawl for new POI data
Our geoparsing and geocoding calculates their geo locations
Our categorization systems cleanup and standardize the datasets
Our data pipeline API publishes the datasets on our data store

POI Data is in a constant flux - especially so during times of drastic change such as the Covid-19 pandemic.

Every minute worldwide on an average day over 200 businesses will move, over 600 new businesses will open their doors and over 400 businesses will cease to exist.

In today's interconnected world, of the approximately 200 million POIs worldwide, over 94% have a public online presence. As a new POI comes into existence its information will appear very quickly in location based social networks (LBSNs), other social media, pictures, websites, blogs, press releases. Soon after that, our state-of-the-art POI Information retrieval system will pick it up.

We offer our customers perpetual data licenses for any dataset representing this ever changing information, downloaded at any given point in time. This makes our company's licensing model unique in the current Data as a Service - DaaS Industry. Our customers don't have to delete our data after the expiration of a certain "Term", regardless of whether the data was purchased as a one time snapshot, or via a recurring payment plan on our data update pipeline.

The main differentiators between us vs the competition are our flexible licensing terms and our data freshness.

The core attribute coverage is as follows:

Poi Field Data Coverage (%) poi_name 100 brand 4 poi_tel 48 formatted_address 100 main_category 96 latitude 100 longitude 100 neighborhood 2 source_url 47 email 6 opening_hours 43

The data may be visualized on a map at https://store.poidata.xyz/ae and a data sample may be downloaded at https://store.poidata.xyz/datafiles/ae_sample.csv

This dataset is about cities in the United Arab Emirates. It has 3 rows. It features 7 columns including country, population, latitude, and longitude.

This dataset is about sites in the United Arab Emirates. It has 1 row. It features 10 columns including country, inscription date, is the site in danger, and removal date.

Government Spending in the United Arab Emirates decreased to 173763.70 AED Million in 2020 from 179323.82 AED Million in 2019. This dataset provides - United Arab Emirates Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about United Arab Emirates Public Consumption Expenditure

• United Arab Emirates Public Consumption Expenditure was reported at 63.851 USD bn in Dec 2023.
• This records an increase from the previous number of 63.583 USD bn for Dec 2022.
• United Arab Emirates Public Consumption Expenditure data is updated yearly, averaging 8.693 USD bn from Dec 1972 to 2023, with 52 observations.
• The data reached an all-time high of 63.851 USD bn in 2023 and a record low of 205.199 USD mn in 1972.
• United Arab Emirates Public Consumption Expenditure data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Nominal GDP: Government Consumption Expenditure: USD: Annual.

CEIC converts annual Government Consumption Expenditure into USD. Federal Competitiveness and Statistics Centre provides Government Consumption Expenditure in local currency based on SNA 2008. The International Monetary Fund average market exchange rate is used for currency conversions. Government Consumption Expenditure prior to 2010 is based on SNA 1993.

Here are a few use cases for this project:

1. Automated traffic monitoring: The "car UAE" model can be used by traffic authorities to automatically detect and recognize license plates of cars on roads, parking lots, and at toll stations, making it easier to monitor traffic flow, identify traffic rule violators, and maintain a database of vehicle information.

2. Parking management systems: The model can be integrated into smart parking systems to automatically identify and track vehicles entering and exiting parking zones, enabling efficient management of parking spaces and billing customers based on their usage.

3. Advanced vehicle security systems: The "car UAE" model can be used to create security systems at residential and commercial premises that allow automatic access only to authorized vehicles, based on their license plate numbers.

4. Car rental services: Car rental companies can utilize the model to maintain a database of rented cars and their license plates, allowing them to keep track of the vehicles and their usage. This information could also be used to locate cars if they are overdue for return.

5. Traffic analysis studies: Researchers and urban planners can use the computer vision model to automatically collect license plate data from various locations around the UAE. This information can then be used to analyze traffic patterns, identify high-traffic areas, and plan improvements to road infrastructure.

High-quality UAE Arabic call center speech dataset for general use. Ideal for AI training, speech recognition, and NLP applications. Download now!

The United Arab Emirates recorded a Government Budget surplus equal to 4.50 percent of the country's Gross Domestic Product in 2023. This dataset provides - United Arab Emirates Government Budget - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset is about athletes in the United Arab Emirates. It has 15 rows. It features 8 columns including birth date, country, gender, and sport.

The Social Security Rate For Employees in the United Arab Emirates stands at 5 percent. This dataset provides - United Arab Emirates Social Security Rate For Employees - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Main nodes and major lines of the electricity transmission network of the united Arab Emirates. Interconnection lines with neighboring countries included. The properties for nodes are "name" and "node type" (city, town, plant, dam...). The properties for lines are the "transmission power" in kV (e.g. 400), the "type of line" (single, double...), the linked nodes (identified by the nodes names) and, for international interconnections, the "interconnection" property gathers the two linked countries identified by name. The format is GeoJSON, nodes are displayed as points and lines as lines. Data comes from the Arab Union of Electricity and country utilities (AADC, ADDC, DEWA, SEWA & FEWA).

Comprehensive dataset of 4 Public transports in United Arab Emirates as of June, 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.

The United Arab Emirates recorded a Government Debt to GDP of 32.10 percent of the country's Gross Domestic Product in 2024. This dataset provides - United Arab Emirates Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.