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Merge pull request #123 from jukent/vast-meaning
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consistent VAST name meaning
clyne authored Mar 6, 2024
2 parents adf6e53 + 9136845 commit d437daf
Showing 3 changed files with 5 additions and 5 deletions.
2 changes: 1 addition & 1 deletion LICENSE
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The MIT License (MIT)

Copyright (c) 2022 Visualization and Analysis Software Team, NCAR
Copyright (c) 2022 Visualization & Analysis Systems Technologies, NCAR

Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
4 changes: 2 additions & 2 deletions config.yml
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baseURL : https://vast.ucar.edu/
languageCode : en-us
title : "VAST | Visualization and Analysis Software and Technology"
title : "VAST | Visualization & Analysis Systems Technologies"
theme : ncar
enableGitInfo : true
summarylength : 25
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params:
name: VAST
dateFormat: "26 FEB 1994"
description: "VAST is the Visualization and Analysis Software and Technology section at the National Center for Atmospheric Research (NCAR)."
description: "VAST is the Visualization & Analysis Systems Technologies section at the National Center for Atmospheric Research (NCAR)."
author: "VAST"
email: "vast@ucar.edu"

4 changes: 2 additions & 2 deletions content/about/_index.md
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---
title: "VISUALIZATION AND ANALYSIS SOFTWARE AND TECHNOLOGY"
title: "VISUALIZATION AND ANALYSIS SYSTEMS TECHNOLOGIES"
date: 2022-04-27T00:00:00-06:00
image: images/banners/limb.jpg
---

NCAR’s Visualization and Analysis Software and Technology (VAST) section helps scientists, students, policy makers, and the public better understand enormous volumes of geoscientific data. Numerical simulations of complex natural phenomena, running on some of the world’s most powerful supercomputers, and a wide range of earth observing instruments all produce tremendous amounts of numerical data about the natural world. Helping explore, explain, understand, and gain insight into these complex troves of data is the mission of VAST.
NCAR’s Visualization & Analysis Systems Technologies (VAST) section helps scientists, students, policy makers, and the public better understand enormous volumes of geoscientific data. Numerical simulations of complex natural phenomena, running on some of the world’s most powerful supercomputers, and a wide range of earth observing instruments all produce tremendous amounts of numerical data about the natural world. Helping explore, explain, understand, and gain insight into these complex troves of data is the mission of VAST.

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