This listing includes four datasets which, when combined, thoroughly describe the existing airfields in the State of Alaska. The challenge for this dataset, for those who care to attempt it, is to create an interactive graphical representation of this information that provides as much of this data on demand as possible.

This dataset was pulled from the faa.gov and is current as of 30 March 2017.

No research has yet been done on this dataset. Creating a usable graphical representation of this data (i.e. a map that shows all airfields and provides detailed information when each airfield is selected) would prove a very useful planning tool for emergency response planning in the state of Alaska. The intent of posting this dataset is to seek feedback and analysis along those lines.

Above all it is important that any code used to transform this dataset be reusable, since the FAA regularly updates their information on these airfields. An ideal solution would allow these datasets to be fed in one end and spit out a beautiful, intuitive, user-friendly product at the other end.

All the data files are provided in .csv format. The dictionary that contains the definitions for the various fields is provided in Excel because it contains multiple spreadsheets (one to describe each .csv file). It is recommended that you download the Excel file so you can refer to it in Excel while you work on the .csv files.

Air transport — long traffic data—

Global Green Airport Market size was valued at USD 4.6 billion in 2022 and is poised to grow from USD 5.07 billion in 2023 to USD 11.03 billion by 2031, growing at a CAGR of 10.2% during the forecast period (2024-2031).

The "flights.csv" dataset contains information about the flights of an airport. This dataset includes information such as departure and arrival time, delays, flight company, flight number, flight origin and destination, flight duration, distance, hour and minute of flight, and exact date and time of flight. This data can be used in management analysis and strategies and provide useful information about the performance of flights and placement companies. The analysis of the data in this dataset can be used as a basis for the following activities: - Analysis of time patterns and trends: by examining the departure and arrival time of the aircraft, changes and time changes, patterns and trends in flight behavior can be identified. - Analysis of American companies: By viewing information about airlines such as the number of flights, the impact and overall performance, you can compare and analyze the performance of each company. - Analysis of delays and service quality: By examining delays and arrival time, I can collect and analyze information about the quality of services provided by the airport and companies. - Analysis of flight routes: by checking the origin and destination of flights, distances and flight duration, popular routes and people's choices can be identified and analyzed. - Analysis of airport performance: by observing the characteristics of flights and airport performance, it is possible to identify and analyze the strengths and weaknesses of the airport and suggest improvements.

It provides various tools for data analysis and visualization and can be used as a basis for managerial decisions in the field of aviation industry.

Airline Company Codes (in order of frequency for this dataset)

WN -- Southwest Airlines Co.

DL -- Delta Air Lines Inc.

AA -- American Airlines Inc.

UA -- United Air Lines Inc.

B6 -- JetBlue Airways

AS -- Alaska Airlines Inc.

NK -- Spirit Air Lines

G4 -- Allegiant Air

F9 -- Frontier Airlines Inc.

HA -- Hawaiian Airlines Inc.

SY -- Sun Country Airlines d/b/a MN Airlines

VX -- Virgin America

Airport Robots Market size was valued at USD 725.06 million in 2019 and is poised to grow from USD 834.47 million in 2023 to USD 2568.14 million by 2031, growing at a CAGR of 17.8% in the forecast period (2024-2031).

This is the dataset accompanying the paper 'Citizen Science Study of Overflight Noise from New and Old Generation Aircraft at London City Airport'.The dataset is an Excel file of noise data collected near London City Airport using the Explane app. The dataset includes the raw data as well as the pivot tables used to generate the diagrams.

This layer visualizes over 60,000 commercial flight paths. The data was obtained from openflights.org, and was last updated in June 2014. The site states, "The third-party that OpenFlights uses for route data ceased providing updates in June 2014. The current data is of historical value only. As of June 2014, the OpenFlights/Airline Route Mapper Route Database contains 67,663 routes between 3,321 airports on 548 airlines spanning the globe. Creating and maintaining this database has required and continues to require an immense amount of work. We need your support to keep this database up-to-date."To donate, visit the site and click the PayPal link.Routes were created using the XY-to-line tool in ArcGIS Pro, inspired by Kenneth Field's work, and following a modified methodology from Michael Markieta (www.spatialanalysis.ca/2011/global-connectivity-mapping-out-flight-routes).Some cleanup was required in the original data, including adding missing location data for several airports and some missing IATA codes. Before performing the point to line conversion, the key to preserving attributes in the original data is a combination of the INDEX and MATCH functions in Microsoft Excel. Example function: =INDEX(Airlines!$B$2:$B$6200,MATCH(Routes!$A2,Airlines!$D$2:Airlines!$D$6200,0))                                                

UK Green Motion Car & Van Rental Locations Database in Excel – Verified Addresses & Postcodes 2025The UK Green Motion Car & Van Rental Locations Database 2025 is a verified, carefully curated, and regularly updated Excel directory of Green Motion vehicle rental branches, airport counters...

There are two folders and one file:Folders: 02-01-Excel: This excel file includes the 56-year (from February 1963 to February 2020) wind data at Zabol airport meteorological station (Station ID=40829), located at 31° 5^' N longitude and 61° 32^' E latitude02-02- WRPLOT: The above data is entered into WRPLOT software to analyze the wind pattern.File:02-03- Wind data_Month: Monthly wind data in the mentioned station (at 02-01).

Daily rainfall data was collect by the Bureau of Meteorology (BoM). This dataset contains data collected from 1950 to 2009. The stations that are represented in this data set are Carnarvon Airport, Exmouth Gulf, Gnaraloo, Learmonth Airport, Ningaloo, Quobba, Vlaming Head and Warroora. This data was downloaded from the Bureau of Meteorology's Climate Data Online website as separate csv files for each year, they were then collated into one MS Excel spreadsheet per station. A text file containing notes on the data was also downloaded at the same time. This data was obtained for the Ningaloo Project.