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Found 6064 dataset(s) matching "CLASS".
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<b>Hazard Class 7</b>: Class 7 hazards are substances or materials that are radioactive. Radioactive substances are recognized by yellow and white HAZMAT signs, with a radioactive logo in the top,...
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Background Increasing evidence suggests that the effect of HLA-E on Natural Killer (NK) cell activity can be affected by the nature of the peptides bound to this non-classical, MHC class...
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<b>Hazard Class 8</b><span style='font-family: "Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:...
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<b>Hazard Class 8</b>: Class 8 hazards are corrosive substances, including hydrochloric acid, potassium hydroxide and sodium hydroxide. These DOT placards are half-white and half-black, with a...
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<b>Hazard Class 4</b>: Class 4 hazards are flammable solids. There are three divisions in this class, including flammable solids, spontaneously combustible materials and substances that are...
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<b>Hazard Class 8</b><span style='font-family: "Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:...
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<b>Hazard Class 9</b>: Class 9 hazards are classified as miscellaneous dangerous goods, which include lithium batteries, asbestos, dry ice and other consumer commodities. These products are...
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<b>Hazard Class 3</b>: Class 3 hazards are flammable liquids. These liquids include paints, alcohols, gasoline, kerosene and ethanol, and are recognized by red “flammable liquids” placards with...
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<b>Hazard Class 4</b>: Class 4 hazards are flammable solids. There are three divisions in this class, including flammable solids, spontaneously combustible materials and substances that are...
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<b>Hazard Class 4</b><span style='font-family: "Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:...
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<b>Hazard Class 4</b>: Class 4 hazards are flammable solids. There are three divisions in this class, including flammable solids, spontaneously combustible materials and substances that are...
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This dataset shows counts of transactions associated with authorizing vehicles to be used on public roads, commonly referred to as “buying tabs” or “buying tags”. The data includes newly...
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Background We apply a new machine learning method, the so-called Support Vector Machine method, to predict the protein structural class. Support Vector Machine method is performed based...
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This raster integrates the species-specific and community classifications using a hierarchical approach based on classification certainty. A 0.66 probability threshold was applied, with pixels...
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The National Longitudinal Study of the High School Class of 1972 (NLS-72) is part of the Secondary Longitudinal Studies (SLS) program; program data is available since 1972 at...
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This raster stack contains 15 probability layers representing the pixel-level predicted probability of membership in each species-specific vegetation class from 0 to 1. These probability layers...
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Background Leukocyte Immunoglobulin-like Receptor-1 (LIR-1) and LIR-2 (also known as ILT2 and ILT4 respectively) are highly related cell surface receptors that bind a broad range of...
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In this paper we propose an innovative learning algorithm - a variation of One-class Support Vector Machines (SVMs) learning algorithm to produce sparser solutions with much reduced...
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This raster depicts the distribution of 15 species-specific vegetation classes across the island of Lāna‘i at 2m resolution. It represents the final selected neural network model predictions with...
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This file shows average class sizes, pupil-teacher ratio, and size of largest and smallest classes for each school, broken out by grade and program type (General Education, Self-Contained Special...
