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Quarto GHA Workflow Runner committed Jun 5, 2024
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2 changes: 1 addition & 1 deletion .nojekyll
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6 changes: 4 additions & 2 deletions index.html
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<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">

<meta name="author" content="NASA Openscapes Team">
<meta name="dcterms.date" content="2024-06-04">
<meta name="dcterms.date" content="2024-06-05">

<title>EarthData Cloud Cookbook - NASA Earthdata Cloud Cookbook</title>
<style>
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<div>
<div class="quarto-title-meta-heading">Published</div>
<div class="quarto-title-meta-contents">
<p class="date">June 4, 2024</p>
<p class="date">June 5, 2024</p>
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</div>

Expand All @@ -597,6 +597,8 @@ <h1 class="title">NASA Earthdata Cloud Cookbook</h1>
<h2 class="anchored" data-anchor-id="welcome">Welcome</h2>
<p><strong>Welcome to the NASA Openscapes Earthdata Cloud Cookbook!</strong></p>
<p>This Cookbook is learning-oriented to support scientific researchers who use NASA Earthdata as NASA migrates data and workflows to the cloud. It has resources to learn how to work with NASA Earthdata in the cloud, as well as documentation for how to contribute to these resources. It is under active, open development.</p>
<p><strong>Tip: use the <em>earthaccess</em> Python library to access NASA Earthdata</strong>. <a href="https://earthaccess.readthedocs.io/en/latest/">earthaccess</a> is a Python library that streamlines access to NASA Earthdata locally or in the cloud. To learn more, see this <a href="https://nasa-openscapes.github.io/news/2024-03-04-earthaccess-tech-spotlight/">tech spotlight</a>, the <a href="https://www.earthdata.nasa.gov/learn/blog/earthaccess">NASA Earthdata blog post</a>, and these <a href="how-tos/find-data/find-python.html">how-to’s</a> and <a href="tutorials/">tutorials</a>.</p>
<p>Looking for R and MATLAB help? See the <a href="https://boettiger-lab.github.io/earthdatalogin/">earthdatalogin R package</a>, and tutorials for <a href="how-tos/find-data/find-r.html">R</a> and <a href="./tutorials/matlab.html">MATLAB</a> in this cookbook.</p>
</section>
<section id="the-cloud-paradigm" class="level2">
<h2 class="anchored" data-anchor-id="the-cloud-paradigm">The Cloud Paradigm</h2>
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4 changes: 2 additions & 2 deletions search.json
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"text": "Welcome to the NASA Openscapes Earthdata Cloud Cookbook!\nThis Cookbook is learning-oriented to support scientific researchers who use NASA Earthdata as NASA migrates data and workflows to the cloud. It has resources to learn how to work with NASA Earthdata in the cloud, as well as documentation for how to contribute to these resources. It is under active, open development."
"text": "Welcome to the NASA Openscapes Earthdata Cloud Cookbook!\nThis Cookbook is learning-oriented to support scientific researchers who use NASA Earthdata as NASA migrates data and workflows to the cloud. It has resources to learn how to work with NASA Earthdata in the cloud, as well as documentation for how to contribute to these resources. It is under active, open development.\nTip: use the earthaccess Python library to access NASA Earthdata. earthaccess is a Python library that streamlines access to NASA Earthdata locally or in the cloud. To learn more, see this tech spotlight, the NASA Earthdata blog post, and these how-to’s and tutorials.\nLooking for R and MATLAB help? See the earthdatalogin R package, and tutorials for R and MATLAB in this cookbook."
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"text": "Welcome to the NASA Openscapes Earthdata Cloud Cookbook!\nThis Cookbook is learning-oriented to support scientific researchers who use NASA Earthdata as NASA migrates data and workflows to the cloud. It has resources to learn how to work with NASA Earthdata in the cloud, as well as documentation for how to contribute to these resources. It is under active, open development."
"text": "Welcome to the NASA Openscapes Earthdata Cloud Cookbook!\nThis Cookbook is learning-oriented to support scientific researchers who use NASA Earthdata as NASA migrates data and workflows to the cloud. It has resources to learn how to work with NASA Earthdata in the cloud, as well as documentation for how to contribute to these resources. It is under active, open development.\nTip: use the earthaccess Python library to access NASA Earthdata. earthaccess is a Python library that streamlines access to NASA Earthdata locally or in the cloud. To learn more, see this tech spotlight, the NASA Earthdata blog post, and these how-to’s and tutorials.\nLooking for R and MATLAB help? See the earthdatalogin R package, and tutorials for R and MATLAB in this cookbook."
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