Update plot-neon-rgb-camera-data.md

add space after div so header shows up correctly. remove Jupyter Notebook shortcut tip

tutorials/Python/AOP/RGB-camera/plot-aop-camera/plot-neon-rgb-camera-data.md

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 This tutorial introduces NEON RGB camera images (<a href="https://data.neonscience.org/data-products/DP3.30010.001" target="_blank">Data Product DP3.30010.001</a>) and uses the Python package `rasterio` to read in and plot the camera data in Python. In this lesson, we will read in an RGB camera tile collected over the NEON Smithsonian Environmental Research Center (<a href="https://www.neonscience.org/field-sites/serc" target="_blank">SERC</a>) site and plot the mutliband image, as well as the individual bands. This lesson was adapted from the <a href="https://rasterio.readthedocs.io/en/stable/topics/plotting.html" target="_blank">rasterio plotting documentation</a>.
 
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 ### Objectives
 
 After completing this tutorial, you will be able to: 
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 In this lesson we will keep it simple and show how to read in and plot a single camera file (1km x 1km ortho-mosaicked tile) - a first step in any research incorporating the AOP camera data (in Python).
 
-**Tip:** To run a code chunk (cell) in Jupyter Notebook you can either select `Cell > Run Cells` with your cursor placed in the cell you want to run, or use the shortcut key `Shift + Enter`. For more handy shortcuts, refer to the tab `Help > Keyboard Shortcuts`. 
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 ### Import required packages