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109 results for “aviation”
Fiat CR42 " Falco" - Italian Aviation - Free
A personal tribute for our brave pilots during WWII. Song Rights of "Vittorio Daverio" Source: Objaverse 1.0 / Sketchfab
AVDATA-BR-CP - Brazilian Aviation Data - City-Pairs
<p>This dataset is named AVDATA-BR-CP, with the "CP" suffix denoting a collection of Brazilian aviation data organized by domestic city pairs in Brazil ("CP" stands for "city pairs"), updated on a monthly basis. The primary source of this data is the National Civil Aviation Agency (ANAC). The data and variables used are described in Oliveira, A. V. M. (2024), in the paper titled "AVDATABR: An Open Database for Brazilian Air Transport", published in Communications in Airline Economics Research, volume 1, article 10671652, available at https://zenodo.org/doi/10.5281/zenodo.10671652.</p>
Data Set: Renewable hydrogen fuels versus fossil fuels for trucking, shipping and aviation: A holistic cost model
<p>Data Set: Renewable hydrogen fuels versus fossil fuels for trucking, shipping and aviation: A holistic cost model</p>
Fig. 1 in Aviation Safety Ranking Values And Bird Species At Trabzon International Airport, Türkiye
Fig. 1. Study area (GOOGLE EARTH, 2022)
A glimpse into the foraging and movement behavior of Nyctalus aviator: a complementary study by acoustic recording and GPS tracking
<p>Species of open-space bats that are relatively large, such as bats from the genus <em>Nyctalus</em>, are considered as high-risk species for collisions with wind turbines. However, important information on their behavior and movement ecology, such as the locations and altitudes at which they forage, is still fragmentary, while crucial for their conservation in light of the increasing threat posed by progressing wind turbine construction. We adopted two different methods of microphone array recordings and GPS-tracking capturing data from different spatio-temporal scales in order to gain a complementary understanding of the echolocation and movement ecology of <em>Nyctalus aviator</em>, the largest open-space bat in Japan. Based on microphone-array recordings, we found that echolocation calls during natural foraging are adapted for fast-flight in open space optimal for aerial-hawing. In addition, we attached a GPS tag that can simultaneously monitor feeding buzz occurrence and confirmed that foraging occurred at 300 m altitude and that the flight altitude in mountainous areas is consistent with the turbine conflict zone. Thus, our acoustic GPS survey clearly identified<em> N. aviator</em> as a high-risk species in Japan.</p>
A glimpse into the foraging and movement behavior of Nyctalus aviator: a complementary study by acoustic recording and GPS tracking
Open the record for dataset details and reuse information.
Bird species in the diet of the birdlike noctule bat, Nyctalus aviator, in Japan.
<p>We investigate the birds in the diet of the birdlike noctule (<i>Nyctalus aviator</i>) through DNA amplification from feather remains found in fecal pellets. Our goal was to confirm that <i>N. aviator</i> preys on nocturnally migratory species, as does its European relative <i>N. lasiopterus</i>, and to gain insights into this hunting strategy (e.g. on the wing vs. from cavity-nest). The diversity and the characteristics of the birds found in the feces remains indicate that in Japan <i>N. aviator</i> employs a similar hunting strategy on songbirds as <i>N. lasiopterus</i> in Iberia. Both noctules are primarily generalist insectivores that prey on 5-25 g body mass songbirds seasonally during their migration and probably hunt them at high altitude. Accordingly, predation on birds seems to be a strategy that appears in distant points across the Palearctic and is not the result of local specialization. We hypothesize that the bird hunting behavior appeared during evolution as a trophic jump from a pre-existing hunting behavior on the many insects that carry out seasonal nocturnal migrations in temperate zones at high-altitude.</p>
Aviation contrail cirrus and radiative forcing over Europe for six months in 2020 during COVID-19 compared with 2019: Observations and model results
<p>This file contains supporting information for a manuscript submitted for publication.</p> <p>Aviation contrail cirrus and radiative forcing over Europe for six months in 2020 during COVID-19 compared with 2019: Observations and model results </p> <p>U. Schumann, L. Bugliaro, and C. Voigt</p> <p>Corresponding author: Ulrich Schumann (Ulrich.schumann@dlr.de)</p> <p>For details see the README.txt</p> <p> </p> <p> </p>
Data from: Aeroecology meets aviation safety: early warning systems in Europe and the Middle East prevent collisions between birds and aircraft
The aerosphere is utilized by billions of birds, moving for different reasons and from short to great distances spanning tens of thousands of kilometres. The aerosphere, however, is also utilized by aviation which leads to increasing conflicts in and around airfields as well as en-route. Collisions between birds and aircraft cost billions of euros annually and, in some cases, result in the loss of human lives. Simultaneously, aviation has diverse negative impacts on wildlife. During avian migration, due to the sheer numbers of birds in the air, the risk of bird strikes becomes particularly acute for low-flying aircraft, especially during military training flights. Over the last few decades, air forces across Europe and the Middle East have been developing solutions that integrate ecological research and aviation policy to reduce mutual negative interactions between birds and aircraft. In this paper we (1) provide a brief overview of the systems currently used in military aviation to monitor bird migration movements in the aerosphere, (2) provide a brief overview of the impact of bird strikes on military low-level operations, and (3) estimate the effectiveness of migration monitoring systems in bird strike avoidance. We compare systems from the Netherlands, Belgium, Germany, Poland and Israel, which are all areas that Palearctic migrants cross twice a year in huge numbers. We show that the en-route bird strikes have decreased considerably in countries where avoidance systems have been implemented, and that consequently bird strikes are on average 45% less frequent in countries with implemented avoidance systems in place. We conclude by showing the roles of operational weather radar networks, forecast models and international and interdisciplinary collaboration to create safer skies for aviation and birds.
Decentralised Production of e-fuels for Aviation: calculation results
<p>This dataset contains the underlying results of the final and published version of the study: "Decentralised production of e-fuels for aviation: Implications and trade-offs of a targeted small-scale production of Sustainable Aviation Fuel based on Fischer-Tropsch Synthesis" - <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D3SE01156A">https://doi.org/10.1039/D3SE01156A</a></p>
Data for Airlines network analysis on an air-rail multimodal system. Journal of Open Aviation Science, 1(2)
<h2>About</h2> <p>This dataset contains all the input data required to generate the analysis and results of the article Delgado, L., Trapote-Barreira, C., Montlaur, A., Bolić, T., & Gurtner, G. (2023). <em>Airlines’ network analysis on an air-rail multimodal system</em>. Journal of Open Aviation Science, 1(2). <a href="https://doi.org/10.59490/joas.2023.7223" rel="nofollow">https://doi.org/10.59490/joas.2023.7223</a></p> <p>The code used is available on GitHub: <a href="https://github.com/UoW-ATM/joas_air_rail_network_analysis">https://github.com/UoW-ATM/joas_air_rail_network_analysis</a></p> <p>The path to the input data can be modified in the scripts provided in the GitHub repository. With the default setting, the input is in a folder called data.</p> <h2>Dataset structure</h2> <ul> <li>data_computed <ul> <li><em>rail_used_emissions.csv</em></li> <li><em>rail_used_emissions_2.csv</em></li> <li><em>routes_emissinos_v2.csv</em></li> </ul> </li> <li>flights_data4 <ul> <li>year=2023 <ul> <li>month=05 <ul> <li><em>1st_week_0523.csv</em></li> </ul> </li> </ul> </li> </ul> </li> <li>renfe <ul> <li>renfe_mid_long <ul> <li><em>agency.txt</em></li> <li><em>calendar.txt</em></li> <li><em>calendar_dates.txt</em></li> <li><em>routes.txt</em></li> <li><em>stops.txt</em></li> <li><em>stop_times.txt</em></li> <li><em>trips.txt</em></li> </ul> </li> </ul> </li> <li><em>aircraftDatabase.csv</em></li> <li><em>airport_static.csv</em></li> <li><em>code_seats.csv</em></li> <li><em>manual_fixed_airports.csv</em></li> <li><em>mat_corrected.csv</em></li> <li><em>type_code_missing.csv</em></li> </ul> <h2>Data description</h2> <h3>data_computed</h3> <p>This folder contains pre-computed values by the authors on rail and air emissions. These are estimated:</p> <ul> <li>For rail using <a href="http://ecopassenger.hafas.de/" rel="nofollow">EcoPassenger</a>.</li> <li>For flights based on the emission model from Montlaur, A., Delgado, L., & Trapote-Barreira, C. (2021). <a href="https://doi.org/10.3390/su131810401" rel="nofollow"><em>Analytical Models for CO<sub>2</sub> Emissions and Travel Time for Short-to-Medium-Haul Flights Considering Available Seats</em></a>. Sustainability 13.18 (2021) and from some specific flights using EUROCONTROL's <a href="https://www.eurocontrol.int/platform/integrated-aircraft-noise-and-emissions-modelling-platform">IMPACT </a>model.</li> </ul> <h3>flights_data4</h3> <p>Information from flights_data4 table from <a href="https://opensky-network.org/data/impala">OpenSky</a>. Please refer to the <a href="https://opensky-network.org/about/terms-of-use">terms of use of OpenSky</a> for the restrictions on the further use of these data.</p> <p>The file <em>1st_week_0523.csv </em>contains the information of the table flights_data4 from OpenSky for the week of the 1st May 2023 (01/05/2023 to 07/05/2003). This was downloaded with the SQL query </p> <p>SELECT * FROM flights_data4 WHERE lastseen >= 1682899200 AND firstseen <= 1683504000;</p> <p>Note that the lastseen and firstseen are in UnixTime and correspond to 2023-05-01 00:00:00 UTC and 2023-05-08 00:00:00 UTC respectively. This ensures capturing all flights landing on 01/05/2023 even if they departed the day before and departing on 07/05/2023 even if landing the day after.</p> <h3>renfe</h3> <p>renfe folder contains the General Transit Feed Specification (GTFS) data from the <a href="https://data.renfe.com/dataset/horarios-de-alta-velocidad-larga-distancia-y-media-distancia">Renfe</a> rail operator with the high-speed, long and medium distances timetables. Note that Renfe provides the data under a <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener">Creative Commons Attribution 4.0</a> license. </p> <h3>Other datasets</h3> <ul> <li><em>aircraftDatabase.csv </em>: Database containing information on aircraft information (type, manufacturer, license, etc.) as a function of their transponder icao24 code. Obtained from <a href="https://opensky-network.org/aircraft-database">OpenSky</a>.</li> <li><em>airport_static.csv</em>: Airport ICAO code, latitude and longitude.</li> <li><em>code_seats.csv</em>: allows each aircraft model to be related to the seats in the cabin. It has been extracted from airline websites and other sources.</li> <li><em>manual_fixed_airports.csv</em>: List of manually modified airports for arrival/departure to fix wrong rotations from OpenSky data. For each airport ICAO code, it provides the one that should be used instead and some information on that airport (e.g., name)</li> <li><em>mat_corrected.csv</em>: identifies the rotation of each aircraft in the week of study. This is especially relevant for fleet analysis as it is necessary to know the start and end airport of each rotation for each day. It has been identified with an ad-hoc algorithm, and some data has been corrected with <a href="https://www.flightradar24.com/">FlightRadar24</a> data support.</li> <li><em>type_code_missing.csv</em>: relates the transponders' icao24 identifiers missing from OpenSky to the aircraft type (complement aircraftDatabase), compiled from <a href="https://www.flightradar24.com/" rel="nofollow">FlightRadar24</a>.</li> </ul>
Model simulation data used in "An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing" (Thor et al., GMD, 2022)
<p>This archive contains files that were used to produce the results published in the article "An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing" by Thor et al.</p> <p>The directory nml contains namelist setups (configuration files) used for each of the simulations that were performed for this study.<br> The used MESSy version is d2.54.0.3-pre2.55-02-2077-g6eca90858-dirty_6eca90858ecb4ee8fb8900681a94a79ac3d612af_2021-01-26T11:10:08+01:00_2021-02-18T09:14:01+0100 for the QCTM simulations and d2.54.0.3-pre2.55-02-1466-g1fb086944_1fb0869442bf4f1bb10a7dd5f36e4bde5c0cf6d7_2020-10-27T18:17:50+01:00_2020-10-27T18:24:16+0100 for the aerosol simulations (http://www.messy-interface.org).</p> <p>The directory figures contains ipython scripts that were used to produce the figures in the paper.</p>
Aviation Fuel Production Pathways from Lignocellulosic Biomass via Alcohol Intermediates – A Technical Analysis - Supplementary Material
<p>Data for the associated publication </p>
A stylized study of the climate response to longwave and shortwave forcing at the altitude of aviation-induced cirrus
<p>Data and figures including MATLAB code used for plotting figures and creating tables of this study.<br>Case Deatils.xlsx: Details of all cases analysed in this study, which can be used to reproduce the results of this study. <br><br></p>
CMIP6 SSP2-4.5 Aviation emissions with corrected geographical distribution after Thor et al., 2023
<p>The files contain the CMIP6 SSP2-4.5 emissions for the aviation sector with corrected geographical distribution, as described by Thor et al. 2023.</p> <p>1) cos²(lat)<br>2) a factor (uncorrected emissions / corrected emissions) to yield the same global total emissions in the corrected files. This corresponds to the 1.912 factor as described by Thor et al. 2023.</p> <p>The fix has been performed for:<br>BC, NOX, NMVOC, NH3, CO2, VOC, SO2, CO and OC</p> <p>Thor, R. N., Mertens, M., Matthes, S., Righi, M., Hendricks, J., Brinkop, S., Graf, P., Grewe, V., Jöckel, P., and Smith, S.: An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing, Geosci. Model Dev., 16, 1459–1466, https://doi.org/10.5194/gmd-16-1459-2023, 2023. </p>
CEDS v2017-08-30/2017-10-05 Aviation emissions with corrected geographical distribution after Thor et al., 2023
<p>The files contain the CEDS aviation emissions (v. 2017-10-05 for SO2 and 2017-08-30 for all others) with corrected geographical distribution, as described by Thor et al. 2023.<br>Accordingly, the emissions have been scaled with two factors:</p> <p>1) cos(lat)<br>2) a factor (uncorrected emissions / corrected emissions) to yield the same global total emissions in the corrected files. </p> <p>The fix has been performed for:<br>BC, NOX, NMVOC, NH3, CO2, SO2, CO and OC</p> <p><br>For more information contact Mariano Mertens (mariano.mertens@dlr.de) or check Thor et al. 2023.</p> <p>Thor, R. N., Mertens, M., Matthes, S., Righi, M., Hendricks, J., Brinkop, S., Graf, P., Grewe, V., Jöckel, P., and Smith, S.: An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing, Geosci. Model Dev., 16, 1459–1466, https://doi.org/10.5194/gmd-16-1459-2023, 2023. </p> <p>DOI for data:<br>10.5281/zenodo.13911489</p>
Data from: Impacts of biomass production at civil airports on grassland bird conservation and aviation strike risk
Growing concerns about climate change, foreign oil dependency, and environmental quality have fostered interest in perennial native grasses (e.g. switchgrass [Panicum virgatum]) for bioenergy production while also maintaining biodiversity and ecosystem function. However, biomass cultivation in marginal landscapes such as airport grasslands may have detrimental effects on aviation safety as well as conservation efforts for grassland birds. In 2011–2013 we investigated effects of vegetation composition and harvest frequency on seasonal species richness and habitat use of grassland birds and modeled relative abundance, aviation risk, and conservation value of birds associated with biomass crops. Avian relative abundance was greater in switchgrass monoculture plots during the winter months, whereas Native Warm-Season Grass (NWSG) mixed species plantings were favored by species during the breeding season. Conversely, treatment differences in aviation risk and conservation value were not biologically significant. Only 2.6% of observations included avian species of high hazard to aircraft, providing support for semi-natural grasslands as a feasible landcover option at civil airports. Additionally, varied harvest frequencies across a mosaic of switchgrass monocultures and NWSG plots allows for biomass production with multiple vegetation structure options for grassland birds to increase seasonal avian biodiversity and habitat use.
Decreased aviation leads to increased ice crystal number and a positive radiative effect
<p>This is the dataset to support our paper titled of "Decreased aviation leads to increased ice crystal number and a positive radiative effect". Travel restrictions in the wake of the COVID-19 pandemic resulted in an unprecedented decrease of 73% in global flight mileage in April-May 2020 compared to 2019. Here we examine the CALIPSO satellite observations and find a significant increase in ice crystal number concentrations (Ni) in cirrus clouds in the mid-latitudes of the Northern Hemisphere, which we attribute to an increase in homogeneous freezing when soot from aircraft emissions is reduced. A relatively small positive radiative effect of 21 mWm<sup>-2</sup> is estimated if a decrease in aircraft traffic continues. We infer from this analysis that the worldwide adoption of biofuel blending in aircraft fuels that lead to smaller soot emissions could lead to a significant change in the microphysical properties of cirrus clouds but a rather small positive radiative effect.</p> <p>This dataset including three sections. The data are model output or input from climate simulations conducted with Community Earth System Model (CESM) version 1.2.2 with IMPACT aerosol module. The input files are default in the component set of "FC5" in the CESM model. The files in the dataset are described below:</p> <p><strong>Model code.zip: </strong>This tar file contains the sources code of the IMPACT aerosol module that we implemented as additional aerosol module embedded in the CESM model which is publicly available from NCAR repository. This code is used to create model output list in this dataset.</p> <p><strong>2020_act.rar: </strong>This tar file contains NetCDF out file of daily mean meteorological and aerosol fields during January and May in 2020 from the model based on the actual aviation activity in 2020.</p> <p><strong>2020_yes.rar: </strong>This tar file contains NetCDF out file of daily mean meteorological and aerosol fields during January and May in 2020 from the model assuming the aviation activity in 2020 is same as 2019.</p> <p><strong>Year_act.zip: </strong>This tar file contains NetCDF out file of annual mean meteorological and aerosol fields in the next five years from the model assuming the aviation restriction in 2020 last for the next five years.</p> <p><strong>Year_yes.zip: </strong>This tar file contains NetCDF out file of annual mean meteorological and aerosol fields in the next five years from the model assuming the aviation activity keeping same as 2019 in the next five years.</p> <p><strong>filght.zip:</strong> The FlightRadar24 commercial database of flight mileages from January 2019 to May 2020 at 1°x1° resolution, which were used as input file in our model.</p> <p> </p> <p> </p>
Data from: Nucleation of jet engine oil vapours is a large source of aviation-related ultrafine particles
<p>Data of Figures 1-3</p>
Screening for Coronary Artery Disease USing Primary Evaluation With Coronary CTA in Aviation Medicine (SUSPECT)
ClinicalTrials.gov study NCT05508893. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.