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README.md

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| **Session** | **Duration** | **Objective** |
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| :---------: | :----------: | :----------------------------------------------------------------------------------------------------------------------------------------: |
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| [I](./hands-on/session%20II/README.md) | 30 mins | This session begins with an overview of the NSDF and addresses users' challenges identified through interviews. |
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| [II](./hands-on/session%20II/README.md) | 1 hour | This session offers a hands-on experience with NSDF services, focusing on visualization and dashboard creation for Earth science datasets. |
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| [III](./hands-on/session%20III/README.md) | 1 hour | This session delves deeper into NSDF services tailored for the management and analysis of datasets exceeding 100TB. |
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| [II](./hands-on/session%20II/1.Tutorial.ipynb) | 1 hour | This session offers a hands-on experience with NSDF services, focusing on visualization and dashboard creation for Earth science datasets. |
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| [III](./hands-on/session%20III/3.Tutorial_PetascaleAnalysis.ipynb) | 1 hour | This session delves deeper into NSDF services tailored for the management and analysis of datasets exceeding 100TB. |
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| [IV](./hands-on/session%20III/README.md) | 30 mins | This session concludes with an interactive Q&A, allowing attendees to discuss applications of NSDF in various research fields. |

hands-on/session II/1.Tutorial.ipynb

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"## -> Step 4: Interactive Visualization and Analysis of Geospatial Data Using the NSDF Dashboard \n",
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"\n",
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"After validating the correct conversion from TIFF to IDX and visualizing statically the data. We create a dashboard that enables scientists to interact, visualize, and analyze geospatial data. You can zoom into data for detailed analysis, cropping subregions, and saving them locally in a Python-compatible format. For this step, you can have data locally (Option A) or grab the IDX files previously stored from remote storage (Option B). \n",
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"After validating the correct conversion from TIFF to IDX and visualizing statically the data, we create a dashboard that enables scientists to interact, visualize, and analyze geospatial data. You can zoom into data for detailed analysis, cropping subregions, and saving them locally in a Python-compatible format. For this step, you can have data locally (Option A) or grab the IDX files previously stored from remote storage (Option B). \n",
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"\n",
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"We present two geographical regions. The first region is for the state of Tennessee for consistency of the tutorial. However, we want to go beyond and show the power of interacting with a large geospatial dataset that may not fit in your local computer, for example, the Contiguous United States at 30 m resolution. \n",
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"\n",
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hands-on/session II/README.md

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<p><strong>Requirements:</strong> A GitHub account. No software installation required.</p>
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<p>
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<a href="https://github.com/codespaces/new/TauferLab/NSDF-Tutorial-2025?devcontainer_path=.devcontainer/session+II/devcontainer.json">
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<img src="https://github.com/codespaces/badge.svg" alt="Open in GitHub Codespaces">
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</a>
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<img src="https://github.com/codespaces/badge.svg" alt="Open in GitHub Codespaces">
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</a> <= Click here to take you to create a new codespace
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</p>
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<ol>
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<li>Use the <strong>main</strong> branch of the repository.</li>
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<li>Repository: <code>TauferLab/NSDF-Tutorial-2025</code>.</li>
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<li>Use the <strong>main</strong> branch of the repository.</li>
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<li>Dev container: <code>NSDF Tutorial – Session II</code>.</li>
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<li>Click <strong>Create Codespace</strong>.</li>
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</ol>
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<p>This process may take a few minutes. Once ready, run <code>Tutorial.ipynb</code> in Jupyter.</p>
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<p>This process may take a few minutes. Once ready, run <code>Hands-on/session II/Tutorial.ipynb</code> in Jupyter.</p>
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<div align="center">
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<img src="Materials/files/docs/codespaces.png" width="800">
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<br><em>Figure 1. Creating GitHub Codespaces</em>
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<img src="Materials/files/docs/vscode.png" width="800">
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<br><em>Figure 3. VS Code interface in Codespaces</em>
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</div>
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After the creation of the codespace, proceed to Session II by clicking in the file <a href="./1.Tutorial.ipynb">hands-on/session II/1.Tutorial.ipynb</a>
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<div align="center">
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<img src="Materials/files/docs/tutorial.png" width="800">
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<br><em>Figure 4. Opening the tutorial file</em>
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</div>
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## Option 2: Docker
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<p><strong>Requirements:</strong> Git, Docker Desktop (v4.15.10 or newer), 8 GB RAM, 5 GB disk space (See Appendix for more information on the installation.</p>

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