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1,308 results for “Vehicle”
Doppler images obtained at each scan, for vehicle control vs A-395 treated (i.p. 10 mg/kg) male mice with hind limb ischaemia.
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Deep-Drawn U-Shaped Sheet Metal CAD Files Derived from NHTSA Crash Vehicles
<p>This dataset contains 90 U-shaped CAD geometries that are derived from the NHTSA crash vehicle simulation models. The geometries undergo a series of modifications:</p> <ul> <li>Shape Filtering: Select meshes suitable for deep drawing with a U-shaped profile.</li> <li>Duplicate Removal: Exclude symmetrical duplicates from vehicle structures.</li> <li>Boundary Representation Entity Definition: Place vertices on characteristic mesh features. Connect vertices with edges. Create faces from closed edge loops.</li> <li>Model Transformation: Orient models with drawing direction along -z, length along x, and width along y.</li> </ul> <p>The final CAD geometries represent the post-deep drawing state. Geometries are provided in neutral STEP format, each accompanied by an image. Further specifications are given in the associated publication(s).</p> <p>We want to thank the National Highway Traffic Safety Administration for providing the crash models and the allowance to publish a dataset. We want to inform users of the dataset that a sophisticated engineering evaluation has to be conducted whether the provided models should be used in crash simulation.</p>
Supplementary Videos for "Breaking through safety performance stagnation in autonomous vehicles with dense learning"
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Commercial vehicles in the RAI
<u>Source</u>: Europeana <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1652249766.0475.jpg">https://4dcity.org/imgupload/1652249766.0475.jpg</a> <br><u>Original Image URL</u>: <a href="https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F679415%2FBedrijfsautomobielen_in_de_RAI_%25280_53%2529.png&type=VIDEO">https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F679415%2FBedrijfsautomobielen_in_de_RAI_%25280_53%2529.png&type=VIDEO</a> <br><br><u>Image-Metadata:</u><br>Filename: 1652249766.0475.jpg<br>Image Dimensions: 360x288<br>Megapixels: 0.10 MP<br>Filesize: 138.81 KB<br>
Survey of electric vehicle owners and general population for identification of attitudes, concerns and barriers related to electric vehicle adoption in Finland
<p>This dataset (N=3857) contains responses to a survey conducted in Finland in 2022. The survey investigates lifestyle, car use, environmental and political attitudes, household carbon footprints, and attitudes towards electric vehicles. It is used in a study comparing electric vehicle owners to the general population, examining attitudes, concerns, and barriers related to electric vehicle adoption in Finland.</p> <p>The dataset is derived from the 2022 CLIMATE NUDGE survey (<a href="https://osf.io/3s8uc" target="_new" rel="noreferrer">https://osf.io/3s8uc</a>).</p>
Figure Source Data for "Breaking through safety performance stagnation in autonomous vehicles with dense learning"
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FIGURE 1 in Notes on Afrotropical Cydnidae (Heteroptera) with emphasis on vehicle-mounted net samples and description of a new species from Liberia, West Africa
FIGURE 1. Chilocoris elongatus sp. nov. A—habitus, male; B—pronotum in antero-diagonal view with pubescence, female; C—head in dorsal view, female; D—antenna, male; E—pronotum in dorsal view, male; F—male pygofer in ventral view; Gmale genital opening; H—male parameres. Scales: A = 2 mm; C+D = 0.5 mm; H = 0.1 mm.
FIG. 4 in Discovery of a Distinctive Spotted Color Pattern in the Cuskeel Neobythites unicolor (Teleostei, Ophidiidae) Based on Underwater-Vehicle Dives, with New Records from the Southern and Eastern Caribbean
FIG. 4. Number of pectoral-fin rays, length of longest gill filament, and otolith sulcus length against SL in Neobythites unicolor.
Annotated Vehicle Dataset for BBSL Specification-based Testing in Autonomous Driving Systems (Modified from KITTI)
<p>This dataset consists of four ZIP files containing annotated images used for experiments in the research of formal specification and specification-based testing for image recognition in autonomous driving systems. The dataset has been derived and modified from the KITTI dataset.</p> <ul> <li> <p><strong>image1.zip</strong>: Contains 349 images. These images are part of the first subset used in the experiments.</p> </li> <li> <p><strong>label1.zip</strong>: Contains the 2D bounding box annotations for vehicles corresponding to the images in <strong>image1.zip</strong>. There are 349 annotation files, and in total, 2,736 vehicles are annotated.</p> </li> <li> <p><strong>image2.zip</strong>: Contains 1,300 images. These images are part of the second subset used in the experiments.</p> </li> <li> <p><strong>label2.zip</strong>: Contains the 2D bounding box annotations for vehicles corresponding to the images in <strong>image2.zip</strong>. There are 1,300 annotation files, and in total, 5,644 vehicles are annotated.</p> </li> </ul> <p>The dataset was utilized in the research project focused on Bounding Box Specification Language (BBSL), a formal specification language designed for image recognition in autonomous driving systems. This research explores specification-based testing methodologies for object detection systems.</p> <p>The BBSL project and related testing tools can be accessed on GitHub: <a href="https://github.com/IOKENTOI/BBSL-test" target="_new" rel="noopener">https://github.com/IOKENTOI/BBSL-test</a>.</p> <p>The original KITTI dataset used for modification can be found at <a href="https://www.cvlibs.net/datasets/kitti/index.php">[KITTI dataset source link]</a>.<br>If you use this dataset, please cite the original KITTI dataset:<br>@inproceedings{Geiger2012CVPR,<br> author = {Andreas Geiger and Philip Lenz and Raquel Urtasun},<br> title = {Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite},<br> booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},<br> year = {2012}<br>}</p>
Evaluate the Safety & Bioequivalence of a Generic Butenafine Cream & Lotrimin Ultra® & Compare Both to a Vehicle Control in Treatment of Interdigital Tinea Pedis
ClinicalTrials.gov study NCT01580878. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Phase 3 Study to Compare the Safety and Efficacy of 5% Dapsone Topical Gel, (DTG) Twice Daily in Combination With Once Daily Vehicle Control, Adapalene Gel 0.1% or Benzoyl Peroxide Gel 4%
ClinicalTrials.gov study NCT00151541. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The Impact of Sleep Disorders on Motor Vehicle Accidents
ClinicalTrials.gov study NCT00163670. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Study of Hydroxypropyl Guar Galactomannan 0.25% (HPGG) Versus Vehicle in Dry Eye Patients
ClinicalTrials.gov study NCT00840268. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Study Comparing the Efficacy and Safety of IDP-121 and IDP-121 Vehicle Lotion in the Treatment of Acne Vulgaris
ClinicalTrials.gov study NCT02491060. IPD Sharing: Not stated. Countries: 0. Publications: 0.
GSK2894512 Vehicle-Controlled Study for Adult Plaque Psoriasis
ClinicalTrials.gov study NCT03202004. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Study Comparing Product 0405 to a Vehicle Control in the Treatment of Mild to Moderate Atopic Dermatitis in Pediatric Subjects
ClinicalTrials.gov study NCT02176551. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Study of AL-38583 Ophthalmic Solution 0.05%, 0.010% Versus AL-38583 Vehicle for Dry Eye
ClinicalTrials.gov study NCT00893139. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Clinical & Radiographic Evaluation of LSTR in Non-vital Primary Molars Using Two Different Vehicles
ClinicalTrials.gov study NCT05079802. IPD Sharing: NO. Countries: 0. Publications: 0.
Study of Olopatadine HCl Ophthalmic Solutions Compared to Vehicle Using the Conjunctival Allergen Challenge (CAC) Model of Acute Allergic Conjunctivitis in Japanese Subjects
ClinicalTrials.gov study NCT00987272. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Verification of the Efficacy/Safety of the Mixed Drug Injectable Delivery Vehicle for Treating Intractable Hearing Loss
ClinicalTrials.gov study NCT06437054. IPD Sharing: NO. Countries: 0. Publications: 0.
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.