SMS:Quick Tour - Datasets: Difference between revisions

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[[Image:Quick_Tour.jpg]]
[[Image:Quick_Tour.jpg]]


Large data arrays in SMS are organized as "data sets."  A data set is a set of vector or scalar values associated with a mesh, grid, or scatter point set.  Data sets can be steady state or transient (multiple time steps).  Most data sets represent model solutions but data sets also result from interpolation and operations on existing data sets.  Contour displays are based on the active data set for an object.  Data sets are managed using the Data Browser and the combo boxes at the top of the SMS window.
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]]
 
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[[Category:SMS Quick Tour|Datasets]]
[[Category: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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