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1,308 results for “Vehicle”
Data for project: Discontinuance among California’s electric vehicle buyers: Why are some consumers abandoning their electric vehicles?
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Data from: A view from above: A view from above: unmanned aerial vehicles (UAVs) provide a new tool for assessing liana infestation in tropical forest canopies
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Acoustic parameters of Phyllodytes luteolus in conditions of low and high noise from vehicle traffic
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Data from: A few large roads or many small ones? How to accommodate growth in vehicle numbers to minimise impacts on wildlife
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Resveratrol loaded chitosan-pectin core-shell nanoparticles as novel drug delivery vehicle for sustained release and improved antioxidant activities
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Possibility of bridge inspection through drive-by vehicles
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Data from: Unmanned aerial vehicles for high-throughput phenotyping and agronomic research
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Unmanned aerial vehicles as a useful tool for investigating animal movements - samples
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Wildlife-vehicle collisions at 42 Florida State Parks, 2005-2015
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Data from: Interspecific analysis of vehicle avoidance behavior in birds
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Water quality and spatial parameters from the main channel of a 6th order stream collected with an uncrewed surface vehicle
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Hopping on: Conspecific traveller density within a vehicle regulates parasitic hitchhiking between ephemeral microcosms
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Homeowner Associations as a vehicle for promoting native urban biodiversity
The loss of habitat due to suburban and urban development represents one of the greatest threats to biodiversity. Conservation developments have emerged as a key player for reconciling new ex-urban residential development with ecosystem services. However, since more than half of the world population live in urban and suburban developments, identifying conservation partners to facilitate with retrofitting existing residential neighborhoods becomes paramount. Homeowner Associations (HOA) manage a significant proportion of residential developments in the United States, which includes the landscape design for yards and gardens. These areas have the potential to mitigate the loss of urban biodiversity when they provide habitat for native wildlife. Therefore the conditions and restrictions imposed upon the homeowner by the HOA could have profound effects on the local wildlife habitat. We explored the potential of HOAs to promote conservation by synthesizing research from three monitoring programs from Phoenix, AZ. We compared native bird diversity, arthropod diversity, and plant diversity between neighborhoods with and without an HOA. Neighborhoods belonging to HOAs had significantly greater bird and plant diversity, though insect diversity did not differ. The institutional framework structuring HOAs including sanctions for enforcement coupled with a predictable maintenance regime that introduces regular disturbance might explain why neighborhoods with an HOA had greater bird diversity. For neighborhoods with an HOA, we analyzed landscape form and management practices. We linked these features with ecological function and suggested how to modify management practices by adopting strategies from the Sustainable Sites Initiative, an international sustainable landscaping program, to help support biodiversity in current and future residential landscapes.
STRIDE Project C - Performance Measurement and Management Using Connected and Automated Vehicle Data
<p>The main objective of this study is to develop a methodological framework to estimate system performance measurements using CV data. The study also provides a validation of the framework as a proof of concept by determining performance measurements from traditional and CV data. In doing so, the microscopic simulation software VISSIM with trajectory conversion algorithm (TCA) is used to generate CV data, particularly basic safety message (BSM) for a study corridor located in Birmingham, AL. The estimated performance measures can be used by a system operator, planner, or an automated system to support decisions associated with these processes. The measurements can be also used to derive information for dissemination to travelers, third-party data aggregators, traveler information service providers, and other agencies. The collected and archived data includes real-world data collected from different sources in addition to simulation model results.</p>
Snow depth mapping with an Unmanned Aerial Vehicles in heterogeneous mountain site (Izas Catchment, Pyrenees)
<p>Recent developments in unmanned aircraft vehicles (UAV) and Structure for Motion (SfM photogrammetry or simply SfM) algorithms have proved their worth for determining snow depth distribution. This dataset presents UAV and Terrestrial Laser Scanner (TLS) snow depth obsrevations obtained in complex alpine terrain in the Pyrenees. UAV observations have been acqired with a fixed-wing UAV working in RTK mode with an RGB camera. During the 2018-19 season, seven field campaigns (13 UAV flights) were undertaken covering 0.48 km2 . Several UAV observations were obtained under different light conditions and flight block configurations (altitude and image overlaps) in the same day with the aim if evaluating UAV observations when compared ti a well-established close range remote sensing technique (TLS).</p>
Field-based individual plant phenotyping of herbaceous species by unmanned aerial vehicle
<p>1. Recent advances in Unmanned Aerial Vehicle (UAVs) and image processing have made high-throughput field phenotyping possible at plot/canopy level in the mass grown experiment. Such techniques are now expected to be used for individual level phenotyping in the single grown experiment.</p> <p>2. We found two main challenges of phenotyping individual plants in the single grown experiment: plant segmentation from weedy backgrounds and the estimation of complex traits that are difficult to measure manurally.</p> <p>3. In this study, we proposed a methodological framework for field-based individual plant phenotyping by UAV. Two contributions, which are weed elimination for individual plant segmentation, and complex traits (volume and outline) extraction, have been developed. The framework demonstrated its utility in the phenotyping of<i> Helianthus tuberosus</i>(Jerusalem artichoke), an herbaceous perennial plant species.</p> <p>4. The proposed framework can be applied to either small and large scale phenotyping experiments.</p>
Faster-RCNN-Vehicles Dataset
<p>A model trained on the Vehicles Dataset using TFOD API</p>
THE COMPLEX OF RECONNAISSANCE AND FIRE DESTRUCTION OF TARGETS BASED ON UNMANNED AERIAL VEHICLES
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OBJECTIVE INDICATORS OF NONCOMPLIANCE WITH SAFETY REGULATIONS FOR VEHICLE MOVEMENT OR UTILIZATION
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Raw data of the article:Proof-of-Concept Study on the Use of Tangerine-Derived Nanovesicles as siRNA Delivery Vehicles toward Colorectal Cancer Cell Line SW480
<p>In the last years, the field of nanomedicine and drug delivery has grown exponentially, providing new platforms to carry therapeutic agents into the target sites. Extracellular vesicles (EVs) are ready-to-use, biocompatible, and non-toxic nanoparticles that are revolutionizing the field of drug delivery. EVs are involved in cell-cell communication and mediate many physiological and pathological processes by transferring their bioactive cargo to target cells. Recently, nanovesicles from plants (PDNVs) are raising the interest of the scientific community due to their high yield and biocompatibility. This study aims to evaluate whether PDNVs may be used as drug delivery systems. We isolated and characterized nanovesicles from tangerine juice (TNVs) that were comparable to mammalian EVs in size and morphology. TNVs carry the traditional EV marker HSP70 and, as demonstrated by metabolomic analysis, contain flavonoids, organic acids, and limonoids. TNVs were loaded with DDHD1-siRNA through electroporation, obtaining a loading efficiency of 13%. We found that the DDHD1-siRNA complex TNVs were able to deliver DDHD1-siRNA to human colorectal cancer cells, inhibiting the target expression by about 60%. This study represents a proof of concept for the use of PDNVs as vehicles of RNA interference (RNAi) toward mammalian cells.</p>
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.