1) Data Introduction • The European Flights Dataset is a tabulated dataset of more than 680,000 air traffic records, including instrument flight (IFR) arrivals and operations at major European airports from January 2016 to May 2022.

2) Data Utilization (1) European Flights Dataset has characteristics that: • Each row contains 14 key items, including year, month, flight date, airport code and name, country name, and number of departures, arrivals, and total flights based on IFR. • The data are segmented by airport, country, and month, so they are well structured to analyze time series and spatial changes in European air traffic. (2) European Flights Dataset can be used to: • Analysis of Air Traffic Trends and Recovery: Using IFR operational performance by year, month, and airport, you can analyze changes in air traffic before and after the pandemic, seasonal trends, and speed of recovery. • Airport and Country Comparison Study: National/Airport performance data can be used to compare and evaluate major hub airports, cross-country aviation network structure, policy effectiveness, and more.

This dataset was prepared after 10 hours of combining these two datasets JFK, NYC, and LGA Weather dataset and NYC_Flight_Delay dataset.

On-time data for a random sample of flights that departed NYC (i.e. JFK, LGA or EWR) in 2013. year,month,day Date of departure.

dep_time,arr_time Departure and arrival times, local tz.

dep_delay,arr_delay Departure and arrival delays, in minutes. Negative times represent early departures/arrivals.

hour,minute Time of departure broken in to hour and minutes.

carrier Two letter carrier abbreviation. See airlines in the nycflights13 package for more information or google the airline code.

tailnum Plane tail number.

flight Flight number.

origin,dest Origin and destination. See airports in the nycflights13 package for more information or google airport the code.

air_time Amount of time spent in the air.

distance Distance flown.

Source Hadley Wickham (2014). nycflights13: Data about flights departing NYC in 2013. R package version 0.1.

Formats CSV file Tab-delimited text file

Format A tbl_df with 32,735 rows and 16 variables:

Photo by Phil Mosley on Unsplash

The number of flights performed globally by the airline industry has increased steadily since the early 2000s and reached **** million in 2019. However, due to the coronavirus pandemic, the number of flights dropped to **** million in 2020. The flight volume increased again in the following years and was forecasted to reach ** million in 2025.

This report describes a cooperative experiment conducted by ONERA and NASA, with the support of Airbus S.A.S. and easyJet Airline Company, Ltd. The study evaluated the benefits of two distinctly different methodologies for analyzing the same set of digital flight-recorded data. The experiment analyzed a set of easyJet commercial-flight data with both typical Flight Operational Quality Assur-ance (FOQA) software of an airline (in this case, AirFASE, developed by Airbus and Teledyne) and The Morning Report of Atypical Flights (developed by NASA). The study demonstrated the feasibility and potential value of using The Morning Report tool in conjunction with the FOQA airline tool and also showed the complementarities of the results produced by the two approaches.

The King Khalid International Airport Flights Dataset provides comprehensive flight movement data for both arrivals and departures at King Khalid International Airport (RUH / OERK), located in Riyadh, Saudi Arabia. This airport serves as a major hub for domestic and international air traffic across the Middle East.

The dataset was collected from multiple aviation and flight-tracking APIs, then cleaned, merged, and standardized into a single file stored in the efficient Apache Parquet format. Parquet ensures compact storage, faster read performance, and compatibility with modern data processing frameworks.

It contains a total of 153,308 records and 23 columns,each record includes detailed flight information such as flight number, aircraft model and registration, airline identifiers (IATA/ICAO), movement type (arrival or departure), flight status, cargo indicator, terminal, and scheduled times in both UTC and local time zones. It also contains structured information describing both origin and destination airports, including their IATA/ICAO codes, airport names, and time zones.

This dataset is suitable for data scientists, researchers, and aviation analysts interested in airport traffic analytics, flight scheduling patterns, operational efficiency, delay prediction, and airline performance studies. Its clear schema and consistent structure make it ideal for use in data visualization, statistical modeling, and machine learning projects.

You can work with this dataset using a variety of modern tools and frameworks, such as:

Python (Pandas, Polars, PyArrow, FastParquet) for data exploration and processing Jupyter or Kaggle Notebooks for interactive analysis and prototyping. Power BI or Tableau for data visualization and reporting. Apache Spark, DuckDB, or Dask for large-scale data handling. Matplotlib, Seaborn, or Plotly for data visualization and trend analysis. SQL-based analytical databases such as PostgreSQL, Amazon Redshift, Google BigQuery, or Snowflake for structured querying. The King Khalid International Airport Flights Dataset provides a structured, real-world view of air traffic activity in one of the Middle East’s most significant transportation hubs and is ready for advanced analysis and research applications.

We provide the minimal and maximum altitude at which a target was confirmed in each flight. When only one value is presented it means that the target was located just once.

The CALIPSO Night Validation Flights (CALIPSO-NVF) airborne deployment was conducted in August 2022 out of Bermuda. The goal was to conduct a series of nighttime underflights of the CALIPSO satellite with the NASA Langley High Spectral Resolution Lidar (HSRL-2). Airborne measurements from the NASA Langley HSRL-2 instrument are essential for verifying the calibration accuracy of the CALIPSO lidar and for acquiring information on aerosol optical properties used for its aerosol profile retrievals. By flying under the CALIPSO ground track, HSRL-2 provides an independent measurement of lidar attenuated backscatter with a higher signal-to-noise ratio. To obtain this important validation dataset, the HSRL-2 was flown on board the LaRC B-200 King Air as CALIPSO passed within range of the aircraft. The western Atlantic Ocean was selected for CALIPSO-NVF to allow unobstructed, 45-minute flights along the satellite ground track. Five nighttime underflights were executed in total – four in cloud-free skies on August 7, 10, 12, and 17th, yielding ideal data from both instruments for calibration validation. The fifth flight on August 18th targeted measurements beneath cirrus to assess the accuracy of CALIPSO aerosol retrievals through high clouds at night, an important but previously unexplored validation target. Total research flight time was 17.7 hours, sampling 2,200 km along the CALIPSO ground track.

Data from the 1982 NASA Langley Airborne Lidar flights following the eruption of El Chichon beginning in July 1982 and continuing to January 1984. Data in ASCII format.

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

The impact of the novel coronavirus (COVID-19) can be seen on every sector of the most affected countries as well as globally. In the week starting January 4, 2021, the number of scheduled flights worldwide was down by 43.5 percent compared to the week of January 6, 2020. The impact of COVID-19 on the Chinese aviation reached a peak in the week starting February 17, 2020, with flight numbers down by 70.8 percent. Aviation market prior to COVID-19 outbreak Before the coronavirus outbreak hit the globe, the aviation industry was improving at a steady pace across countries. For instance, the projected annual growth of revenue ton-miles (RTM) for international flights by U.S. commercial air carriers was at roughly four percent for the period between 2020 and 2040. Prior to the coronavirus outbreak, the forecasted aircraft maintenance, repair and overhaul (MRO) market size in North America was over 22 billion U.S. dollars in 2020. After the adjustments with respect to radical changes driven by coronavirus shock, the North American MRO market is now estimated to generate roughly 12 billion U.S. dollars during the same period. Besides, it was estimated that between 2019 and 2038 over 260,000 technicians in the aviation industry will be demanded in the Asia Pacific region only. Aviation market after COVID-19 shock Coronavirus pandemic hit the passenger aviation much worse than cargo aviation because of lockdowns and bans restricting international travel across the globe. As a result of persisting COVID-19 shocks, passenger aviation is expected to lose roughly 370 billion U.S. dollars in 2020. Even though some countries started to recover as the coronavirus spread is being contained, the desired level of recovery may take at least several quarters or years. The change of airlines’ capacity will most likely remain at least ten percent below the 2019 levels. The longer recovery periods are attributed to several factors including the COVID-19 economic recession, confidence of people to travel, and stringent travel restrictions. Therefore, some institutions forecast the aviation industry to recover at a much slower pace than what was expected.

Southwest Airlines were the most dominant domestic carrier in Dallas Love Field and Chicago Midway International airports, with ** and ** percent of all domestic flights, respectively, between September 2023 and August 2024.

Original data:https://doi.org/10.7910/DVN/HG7NV7This data has been rearranged and converted in parquet.

United States No. of Flights: SFO Terminal: G data was reported at 47.000 Unit in 30 Nov 2025. This records an increase from the previous number of 46.000 Unit for 29 Nov 2025. United States No. of Flights: SFO Terminal: G data is updated daily, averaging 17.000 Unit from May 2008 (Median) to 30 Nov 2025, with 6417 observations. The data reached an all-time high of 74.000 Unit in 02 Feb 2020 and a record low of 0.000 Unit in 08 May 2018. United States No. of Flights: SFO Terminal: G data remains active status in CEIC and is reported by U.S. Customs and Border Protection. The data is categorized under Global Database’s United States – Table US.TA: Airport Statistics: Number of Flights: by Airport. [COVID-19-IMPACT]

You can get all global flight information in 1 API call or track flights based on flight number, airline, departure/arrival airport, and more. The data updates frequently, around every 5 minutes. The details of the data include:

Geography: Location information such as latitude, longitude, altitude, and direction. Speed: Vertical and horizontal speed of aircraft. Departure and arrival: IATA codes and ICAO codes of the departure and arrival airport. Aircraft and flight: IATA and ICAO number of flight and registration number, ICAO code, and ICAO24 code of aircraft. Airline: IATA code, and ICAO code of airline. System information: Squawk, status, and last updated in Epoch.

Here's an example response from the API: [ { "geography": { "latitude": 43.5033, "longitude": -79.1297, "altitude": 7833.36, "direction": 70 }, "speed": { "horizontal": 833.4, "isGround": 0, "vertical": 0 }, "departure": { "iataCode": "YHM", "icaoCode": "CYHM" }, "arrival": { "iataCode": "YQM", "icaoCode": "CYQM" }, "aircraft": { "icaoCode": "B763", "regNumber": "CGYAJ", "icao24": "C08412" }, "airline": { "iataCode": "W8", "icaoCode": "CJT" }, "flight": { "iataNumber": "W8620", "icaoNumber": "CJT620", "number": "620" }, "system": { "updated": 1513148168, "squawk": "0000" }, "status": "en-route" } ]

Developer Information:

1) Available Endpoints &depIata= &depIcao= &arrIata= &arrIcao= &aircraftIcao= &regNum= &aircraftIcao24= &airlineIata= &airlineIcao= &flightIata= &flightIcao= &flightNum= &status= &limit= &lat=&lng=&distance=

2) Flights Tracker API Output

Specific flight based on: Flight IATA Number: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&flightIata=W8519

All flights of a specific Airlines: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&airlineIata=W8

Flights from departure location: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&depIata=MAD

Flights from arrival location: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&arrIata=GIG

Flights within a circle area based on lat and lng values and radius as the distance: GET https://aviation-edge.com/v2/public/flights?key=[API_KEY]&lat=51.5074&lng=0.1278&distance=100&arrIata=LHR

Combinations: two airports and a specific airline flying between them: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&depIata=ATL&arrIata=ORD&airlineIata=UA

In 2024, the number of users in the 'Flights' segment of the shared mobility market in the United States was modeled to stand at ************* users. Between 2017 and 2024, the figure dropped by ************ users, though the decline followed an uneven course rather than a steady trajectory. The forecast shows the number of users will steadily grow by ************ users from 2024 to 2030.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Flights.

This dataset provides black carbon (BC) mass mixing ratios (in units of ng BC / kg air) measured during NASA's Atmospheric Tomography (ATom)-1 flight campaign during July and August 2016. The BC-core masses of BC-containing aerosol particles were measured using a Single Particle Soot Photometer (SP2). Conversion to mass mixing ratio (MMR) is achieved by monitoring sample flow. Influences in air mass composition were determined using the Particle Analysis by Laser Mass Spectrometry (PALMS) instruments. Also included here are data from the Cloud, Aerosol and Precipitation Spectrometer (CAPS) instrument which are used to identify measurements taken while in clouds. Finally, the associated latitude, longitude, altitude, and the timestamp of each measurement are included. All data are at ten seconds resolution. ATom-1 flights originated from the Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America.

In 2024, Korean Air operated approximately ****** flights, showing an increase compared to the previous year. The airline has been recovering from the sharp decline in 2020 caused by the impact of COVID-19. In that year, the number of flights fell to its lowest point in the past decade.

United States No. of Flights: JFK Terminal: 1 data was reported at 30.000 Unit in 30 Nov 2025. This records a decrease from the previous number of 33.000 Unit for 29 Nov 2025. United States No. of Flights: JFK Terminal: 1 data is updated daily, averaging 0.000 Unit from May 2008 (Median) to 30 Nov 2025, with 6413 observations. The data reached an all-time high of 0.000 Unit in 30 Nov 2025 and a record low of 0.000 Unit in 30 Nov 2025. United States No. of Flights: JFK Terminal: 1 data remains active status in CEIC and is reported by U.S. Customs and Border Protection. The data is categorized under Global Database’s United States – Table US.TA: Airport Statistics: Number of Flights: by Airport. [COVID-19-IMPACT]

United States No. of Flights: STL Terminal: Main data was reported at 4.000 Unit in 30 Nov 2025. This records a decrease from the previous number of 6.000 Unit for 29 Nov 2025. United States No. of Flights: STL Terminal: Main data is updated daily, averaging 0.000 Unit from May 2008 (Median) to 30 Nov 2025, with 6218 observations. The data reached an all-time high of 10.000 Unit in 15 Mar 2025 and a record low of 0.000 Unit in 11 Sep 2020. United States No. of Flights: STL Terminal: Main data remains active status in CEIC and is reported by U.S. Customs and Border Protection. The data is categorized under Global Database’s United States – Table US.TA: Airport Statistics: Number of Flights: by Airport. [COVID-19-IMPACT]