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Resources for Training Machine Learning Algorithms Using CAM6 Simple Physics Packages
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Simple Physics CAM6 Codebase for Training Machine Learning Algorithms
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PedX Dataset
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Velocity and Vorticity Data Collected by and used to Validate a Field PIV Instrument
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Dataset for "Experimental Investigation into Efficiency Loss in Rotating Magnetic Field Thrusters"
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SHIFDR: Michigan Buildings Dataset
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Wave and plasma measurements of an electron cyclotron resonance ion source
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Novel Sensors for Autonomous Vehicle Perception - R0_FA0_sample
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Novel Sensors for Autonomous Vehicle Perception - R0_FA1_sample
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Force/Torque BigANT Processed Data
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Persistent Homology as a Heterogeneity Metric for Predicting Pore Size Change in Dissolving Carbonates Dataset
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Swarm-IGRF Large Residual Data
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Engineered immunologic niche monitors checkpoint blockade response and probes mechanisms of resistance
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Data for: Inverse design of triblock Janus spheres for self-assembly of complex structures in the crystallization slot via digital alchemy
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Data Set for Underdetermined Blind Source Separation of Cubesat Quad-Mag Magnetometer data
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Improving Forecasting Ability of GITM using Data-driven Model Refinement
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UofM pouch cell voltage and expansion dataset and modeling code
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Dataset for "Damage curves derived from Hurricane Ike in the west of Galveston Bay based on insurance claims and hydrodynamic simulations"
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A database for reduced-complexity modeling of fluid flows: the online collection
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Enhanced word embeddings using multi-semantic representation through lexical chains
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