Projections of commercial airline flight schedules worldwide. Describe characteristics of each flight such as: departure and arrival airports, flight times, carrier, fares, capacity, and more. Projections are made at the beginning of every time period (month or year) and project the schedules for that time period until the next update is received. Data from 1979-March 1987 are available monthly. Data from 1987 onward are available annually.
Air Timetables
A popular dataset for node classification on heterogeneous graphs.
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Explore the historical Whois records related to oag-airline-of-the-year-awards.com (Domain). Get insights into ownership history and changes over time.
https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules
OAG Aviation Worldwide, UAB financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.
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The global Aviation Analytics market is experiencing robust growth, projected to reach a substantial size by 2033, driven by a compound annual growth rate (CAGR) of 13.35% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the increasing operational complexities within the aviation industry necessitate sophisticated analytical tools for enhanced decision-making. Airlines and airports are leveraging analytics for improved efficiency in areas such as fuel management, revenue optimization, and risk mitigation. Secondly, the burgeoning adoption of advanced technologies like AI and machine learning is further propelling market growth. These technologies enable predictive analytics, providing airlines and airports with valuable insights into passenger behavior, operational performance, and potential disruptions. Furthermore, the rising need for enhanced customer experience and streamlined operations is driving demand for solutions that offer comprehensive data analysis and actionable insights. Segmentation reveals strong growth across various end-users (airlines, airports), business functions (sales & marketing, finance, MRO operations, supply chain), and applications (risk management, inventory management, fuel management, revenue management, customer analytics). North America and Europe currently hold significant market shares, but the Asia-Pacific region is poised for rapid expansion due to increasing air travel and infrastructure development. The competitive landscape is marked by a mix of established players like L3Harris Technologies, Honeywell International, GE Digital, IBM, and Collins Aerospace, alongside specialized aviation analytics providers. These companies are continuously innovating to provide comprehensive and integrated solutions catering to the diverse needs of the aviation sector. The market's future trajectory indicates a continued shift towards cloud-based solutions and advanced analytics capabilities, driven by the need for real-time insights and scalable infrastructure. Challenges remain, including data integration complexities, cybersecurity concerns, and the need for skilled professionals to interpret and leverage the analytical outputs effectively. Nevertheless, the overall growth outlook for the Aviation Analytics market remains positive, presenting substantial opportunities for established players and new entrants alike. This comprehensive report provides a detailed analysis of the Aviation Analytics Market, offering invaluable insights for stakeholders across the aviation ecosystem. With a study period spanning 2019-2033, a base year of 2025, and a forecast period of 2025-2033, this report leverages historical data (2019-2024) to project future market trends and growth. The market is segmented by end-user (Airlines, Airports), business function (Sales & Marketing, Finance, MRO Operations, Supply Chain), and application (Risk Management, Inventory Management, Fuel Management, Revenue Management, Customer Analytics). The report values the market in millions of USD and analyzes key players like L3Harris Technologies, Honeywell, and Boeing, among others. Recent developments include: July 2023: Noida International Airport in India selected SITA's Airport Management System to help automate and streamline the operations of the airport., June 2022: LexisNexis Risk Solutions launched flight status data tracking using Chainlink Node.. Key drivers for this market are: Increase in Internet of Things (IoT) and Autonomous Systems, Rise in Demand for Military and Defense Satellite Communication Solutions. Potential restraints include: Cybersecurity Threats to Satellite Communication, Interference in Transmission of Data. Notable trends are: Airlines Segment to Witness Highest Growth During the Forecast Period.
Horaires d'Air
This dataset contains the number of travelers between Korea and Thailand by air, extracted from OAG data. The departure country of the passenger flight is indicated in the ‘Orig_Country_name’ column, and the arrival country is indicated in the ‘Dest_Country_name’ column. The number of travelers is based on the ‘Total_Est_Pax’ information from the OAG data.
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Explore the historical Whois records related to oag.com (Domain). Get insights into ownership history and changes over time.
Modelo Digital Batimétrico
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
WFS service of the development plan “Construction plan OAG-Gelaende incl. 1. Modification of the city of Bühl from XPlanung 5.0. Description: OAG-Gelaende incl. 1. Change.
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Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company OAG-Aviation-Worldwide-Limited.
Χρονοδιαγράμματα αέρα
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Explore historical ownership and registration records by performing a reverse Whois lookup for the email address dnsmaster@oag.com..
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Original provider: Observatorio Ambiental Granadilla
Dataset credits:
Data provider
Observatorio Ambiental Granadilla
Originating data center
Satellite Tracking and Analysis Tool (STAT)
Project partner
Observatorio Ambiental Granadilla (OAG).- Dr Antonio Machado
Sociedad de Estudio de Cetáceos en el Archipiélago Canario (SECAC).- Vidal Martín
Centro de Gestión de Biodiversidad (BIOGES) del Departamento de Biología de la Universidad de Las Palmas de Gran Canaria.- Dr Luis Pelipe López-Jurado
Centro de Recuperación de Fauna Silvestre del Cabildo Insular de Gran Canaria (CRFS).- Pascual Calabuig
Project sponsor or sponsor description
Ministerio de Fomento
Abstract:
The waters around Canary Islands constitute a foraging ground for juvenile loggerheads from different Atlantic nesting populations.
The Granadilla Environmental Observatory (OAG, Observatorio Ambiental Granadilla) is developing a monitoring program of the loggerhead in order to gain additional information on the distributional patterns of the species provided by previous programs (i.e. Aegina).
The OAG is a Spanish State foundation recently created and based in Tenerife, Canary Islands, aiming to monitor environmental conditions of the sea and the state of biodiversity and marine protected areas in waters around the Canary Islands and, extensively, the archipelago of Madeira and the Azores (the Atlantic subregion called Macaronesia). One of its objectives is also the follow-up of the impacts of large marine-based infrastructures, such as large ports.
Purpose: Loggerheads are present in the archipelago the entire the year, but there are no breeding colonies. To study an open resident segment of the Atlantic population, satellite tracking data from previous projects were compiled, and 19 additional animals marked, increasing the dataset to 39 turtles, with 14,608 high quality signals. Each year observation transects were performed on at least three islands for estimating the relative density of turtles. To analyze the segment size/age structure as well as the negative impacting factors on the species, data from all recovery centers in the Canaries were compiled and studied (2,836 specimens, 1998-2012). These dataseries are far from being optimal, but constitute the best available information at present.
Supplemental information: Visit STAT's project page for additional information.
This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Discover the worldwide distribution of the Oag surname. Present in 22 countries with 630 registered people.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Multivariate risk factors associated with OAG.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Results of Fisher’s exact test comparing the OAG and non-OAG groups.
Data from a monitoring program of the loggerhead in waters around Canary Islands. AccConID=24 AccConstrDescription=This license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms AccConstrDisplay=This dataset is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. AccConstrEN=Attribution-NonCommercial (CC BY-NC) AccessConstraint=Attribution-NonCommercial (CC BY-NC) AccessConstraints=Only data aggregated per 1-degree cell are available through OBIS. For access to additional data, the provider needs to be contacted Acronym=None added_date=2018-03-13 09:59:55.767000 BrackishFlag=0 CDate=2011-03-31 cdm_data_type=Other CheckedFlag=0 Citation=None Comments=None ContactEmail=None Conventions=COARDS, CF-1.6, ACDD-1.3 CurrencyDate=None DasID=2825 DasOrigin=Monitoring: field survey DasType=Data DasTypeID=1 DateLastModified={'date': '2025-04-25 01:33:51.812809', 'timezone_type': 1, 'timezone': '+02:00'} DescrCompFlag=0 DescrTransFlag=0 Easternmost_Easting=32.5 EmbargoDate=None EngAbstract=Data from a monitoring program of the loggerhead in waters around Canary Islands. EngDescr=The waters around Canary Islands constitute a foraging ground for juvenile loggerheads from different Atlantic nesting populations.
The Granadilla Environmental Observatory (OAG, Observatorio Ambiental Granadilla) is developing a monitoring program of the loggerhead in order to gain additional information on the distributional patterns of the species provided by previous programs (i.e. Aegina).
The OAG is a Spanish State foundation recently created and based in Tenerife, Canary Islands, aiming to monitor environmental conditions of the sea and the state of biodiversity and marine protected areas in waters around the Canary Islands and, extensively, the archipelago of Madeira and the Azores (the Atlantic subregion called Macaronesia). One of its objectives is also the follow-up of the impacts of large marine-based infrastructures, such as large ports. FreshFlag=0 GBIF_UUID=bceba6e4-7951-49f9-b528-30d85cdd8af5 geospatial_lat_max=45.5 geospatial_lat_min=5.5 geospatial_lat_units=degrees_north geospatial_lon_max=32.5 geospatial_lon_min=-74.5 geospatial_lon_units=degrees_east infoUrl=None InputNotes=None institution=OAG License=https://creativecommons.org/licenses/by-nc/4.0 Lineage=Prior to publication data undergo quality control checked which are described in https://github.com/EMODnet/EMODnetBiocheck?tab=readme-ov-file#understanding-the-output MarineFlag=1 modified_sync=2021-02-04 00:00:00 Northernmost_Northing=45.5 OrigAbstract=None OrigDescr=None OrigDescrLang=English OrigDescrLangNL=Engels OrigLangCode=en OrigLangCodeExtended=eng OrigLangID=15 OrigTitle=None OrigTitleLang=None OrigTitleLangCode=None OrigTitleLangID=None OrigTitleLangNL=None Progress=In Progress PublicFlag=1 ReleaseDate=Mar 13 2018 12:00AM ReleaseDate0=2018-03-13 RevisionDate=None SizeReference=None sourceUrl=(local files) Southernmost_Northing=5.5 standard_name_vocabulary=CF Standard Name Table v70 StandardTitle=Canary Islands - OAG StatusID=1 subsetVariables=ScientificName,BasisOfRecord,YearCollected,MonthCollected,DayCollected,sex,lifestage,aphia_id TerrestrialFlag=0 time_coverage_end=2012-03-17T01:00:00Z time_coverage_start=2008-01-01T01:00:00Z UDate=2025-03-26 VersionDate=None VersionDay=31 VersionMonth=3 VersionName=1 VersionYear=2011 VlizCoreFlag=1 Westernmost_Easting=-74.5
Projections of commercial airline flight schedules worldwide. Describe characteristics of each flight such as: departure and arrival airports, flight times, carrier, fares, capacity, and more. Projections are made at the beginning of every time period (month or year) and project the schedules for that time period until the next update is received. Data from 1979-March 1987 are available monthly. Data from 1987 onward are available annually.