SMS:Quick Tour - Datasets: Difference between revisions

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Large data arrays in SMS are organized as "datasets."  A dataset is a set of vector or scalar values associated with a mesh, grid, or scatter point set.  Datasets can be steady state or transient (multiple time steps).  Most datasets represent model solutions but datasets also result from interpolation and operations on existing datasets.  Contour displays are based on the active dataset for an object.  Datasets are managed using the Project Explorer. Datasets can be manipulated using Dataset Toolbox.
Large data arrays in SMS are organized as "datasets."  A dataset is a set of vector or scalar values associated with a mesh, grid, or scatter point set.  Datasets can be steady state or transient (multiple time steps).  Most datasets represent model solutions but datasets also result from interpolation and operations on existing datasets.  Contour displays are based on the active dataset for an object.  Datasets are managed using the Project Explorer. Datasets can be manipulated using Dataset Toolbox.


[[Image:databrowser.gif]]
[[File:SMS Dataset Toolbox.png|600 px]]




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[[Category:SMS Quick Tour|Datasets]]
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Latest revision as of 15:45, 1 May 2020

Quick Tour.jpg

Large data arrays in SMS are organized as "datasets." A dataset is a set of vector or scalar values associated with a mesh, grid, or scatter point set. Datasets can be steady state or transient (multiple time steps). Most datasets represent model solutions but datasets also result from interpolation and operations on existing datasets. Contour displays are based on the active dataset for an object. Datasets are managed using the Project Explorer. Datasets can be manipulated using Dataset Toolbox.

SMS Dataset Toolbox.png


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