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162
datasets available to search
ShareScore release 0.9.0
Dataset results
162 results for “airport”
Wave Simulation Results Using XBeach and Application Results at Kansai International Airport (KIX)
<p>The dataset includes input files for the numerical simulations (grids, topography, boundary conditions, and parameter settings), XBeach simulation results for a wind speed of 30 m/s, and the application results for Kansai International Airport (KIX).</p>
Synthetic Aircraft Landing Trajectory Dataset for Oslo Airport
<p>This dataset is <span>a collection of synthetically generated landing trajectories for Oslo airport.</span></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.
Bird strikes at commercial airports explained by citizen science and weather radar data
<p>1. Aircraft collisions with birds span the entire history of human aviation, including fatal collisions during some of the first powered human flights. Much effort has been expended to reduce such collisions, but increased knowledge about bird movements and species occurrence could dramatically improve decision support and proactive measures to reduce them. Migratory movements of birds pose a unique, often overlooked, threat to aviation that is particularly difficult for individual airports to monitor and predict: the occurrence of birds vary extensively in space and time at the local scales of airport responses.</p> <p>2. We use two publicly available datasets, radar data from the US NEXRAD network characterizing migration movements and eBird data collected by citizen scientists to map bird movements and species composition with low human effort expenditures but high temporal and spatial resolution relative to other large scale bird survey methods. As a test case we compare these results from weather radar distributions and eBird species composition with detailed bird strike records from three major New York airports.</p> <p>3. We show that weather radar based estimates of migration intensity can accurately predict probability of bird strikes, with 80% of the variation in bird strikes across the year explained by the average amount of migratory movements captured on weather radar. We also show that eBird based estimates of species occurrence can, using species' body mass and flocking propensity, accurately predict when most damaging strikes occur.</p> <p>4. Synthesis and applications: Our results highlight the power of federating datasets with movement and distribution data for developing better and more taxonomically and ecologically tuned models of likelihood of strikes occurring and severity of strikes. By better understanding when, and where, different species occur, airports across the world can predict seasonal periods of collision risks with greater temporal and spatial resolution; such predictions include potential to predict when the most severe and damaging strikes may occur.</p>
FIGURE 15 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 15. Brevipalpus phoenicis female dorsum, venter and deutonymph (after Baker & Tuttle 1987).
FIGURE 36. A in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 36. A) Phyllotetranychus aegyptium female dorsum (after Sayed 1938); B) Phyllotetranychus romaine female dorsum and palp (after Pritchard & Baker 1958).
FIGURE 33 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 33. Crossipalpus verticillatae female dorsum, venter of gnathosoma and palpi (after Smiley et al. 1996).
FIGURE 27 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 27. Obdulia tamaricis female dorsum (original), venter and palps (after Pritchard & Baker 1958).
The Airports, Air Quality, and Asthma (AAA) Study
ClinicalTrials.gov study NCT07047430. IPD Sharing: YES. Countries: 1. Publications: 2.
Raw data from: Airport noise disturbs foraging behavior of Japanese pipistrelle bats
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Bird strikes at commercial airports explained by citizen science and weather radar data
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Data from: Impacts of biomass production at civil airports on grassland bird conservation and aviation strike risk
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Data from: Take-off engine particle emission indices for in-service aircraft at Los Angeles International Airport
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Datasets and benchmarks for airport ground movement research
<p>Datasets and benchmarks for airport ground movement research, derived from OpenStreetMap and data supplied by Manchester Airport PLC</p>
Code - Effects of horizontal resolution and updated surface data on the simulated low-level winds over Incheon International Airport
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IMPROVING WORLDWIDE AIRPORT SECURITY TRAINING FOR MILITARY PERSONNEL
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Aerial View Swiss International Flight LX35 Approaching Zurich International Airport
<p>December 3, 2016</p> <p>Return from MRS Fall Meeting 2016 in Boston</p>
"UZBEKISTAN AIRPORTS" AKSIYADORLIK JAMIYATI BOSHQARUVINI TUBDAN TAKOMILLASHTIRISH
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FIGURE 22 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 22. Cenopalpus capensis female dorsum and venter (after Meyer 1979).
FIGURE 16 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 16. Priscapalpus macropilis female dorsum and venter (after De Leon 1961).
ScienceDex guides
Understand access before you commit
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.