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9 results for “bird strike”
Dataset for: Methodology to identify and quantify flight path dependent bird strike scenarios over aircraft
<h1>ScenarioGenerator</h1> <h2>Description</h2> <p>This project is a Python project containing a demonstrations of the methodology developed by J. Bertholdt. <br>The code takes stl files and flight path data in order to create bird strike impact scenarios for each cell. <br>With this data it is possible to approximate the impact intensity and create heat maps over the geometry.</p> <h2>Features</h2> <p>- Data processing: The code creates scenarios (impact vector, angle, velocity and bird data) for hit areas and estimates peak pressure and total impulse. <br>- Data saving: The code saves the data in forms of csv files.<br>- Data reader: The code can read the csv files and recreate the processed data and mesh.<br>- Data visualization: The code contains examples for data filtering and plotting. </p> <h2>Installation</h2> <p>1. Download Code<br>2. Adjust directories in data_reader_demo.py and stl_processing_demo.<br>3. Create a virtual environment:</p> <h3>Required packages:</h3> <p>- numpy<br>- birdpressure<br>- matplotlib<br>- pyvista</p>
Data set for design for bird strike crashworthiness using a building block approach applied to the Flying-V aircraft
<p>Data set for the manuscript:</p> <p>Chen SY, van de Waerdt W, Castro SGP (2022). Design for bird strike crashworthiness using a building block approach applied to the Flying-V aircraft. Preprint. DOI: <a href="https://doi.org/10.31224/2559">https://doi.org/10.31224/2559</a></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>
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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Use of avian GPS tracking to mitigate human fatalities from bird strikes caused by large soaring birds
<p>1. Birds striking aircraft cause substantial economic loss worldwide and, more worryingly, human and wildlife fatalities. Designing effective measures to avoid fatal bird strikes requires in-depth knowledge of the characteristics of this incident type and the flight behaviors of the bird species involved.</p> <p>2. The characteristics of bird strikes involving aircraft crashes or loss of human life in Spain were studied and compared to flight patterns of bird monitored by GPS. We tracked 210 individuals of the three species that cause the most crashes and human fatalities in Spain: griffon and cinereous vultures (<i>Gyps fulvus</i> and <i>Aegypius monachus</i>) and white storks (<i>Ciconia ciconia</i>).</p> <p>3. All the crashes involved general aviation aircraft, while none were recorded in commercial aviation. Most occurred outside airport boundaries, at midday and in the warmest months, which all correspond with the maximum flight activity of the studied species.</p> <p>4. Bird flight altitudes overlapped the legal flight altitude limit set for general aviation.</p> <p>5. Policy implications: Mitigation of fatal bird strikes should especially address the conflict between general aviation and large soaring birds. Air transportation authorities should consider modifying the flight ceiling for general aviation flights above the studied species' maximum flight altitude. Moreover, policymakers should issue pilots with recommendations regarding the dates and times of peak activity of large soaring bird species to improve flight safety.</p>
Use of avian GPS tracking to mitigate human fatalities from bird strikes caused by large soaring birds
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Aviation Safety Reporting System: Bird or Animal Strike Reports
A sampling of reports referencing a bird or animal strike incident.
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.