add rest of tutorials

Author: JessicaS11

08.HDF5_and_ICESat-2_data_files/README.md

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+# Intro to HDF5 and ICESat-2 Data Files
+
+Instructor: Fernando Paolo (paolofer@jpl.nasa.gov)  
+
+## Tutorials:  
+
+Part 1: Introduction to HDF5 data model  
+Part 2: Reduction of ICESat-2 data files  
+
+## Goals:  
+
+- Familiarize with HDF5 data model  
+- Familiarize with HDF5 basic tools  
+- Have a quick overview of cloud options  
+- Download IS2 files according region of interest  
+- Extract variables of interest and filter in time and space  
+- Prepare data for large-scale processing  
+- Learn simple/generic data parallelization strategy  
+- Inspect data files from the command line  
+- Plot millions of points efficiently
+
+## Schedule
+
+Monday June 15: Hack-day #1 (10:30 - 11:30 AM)
+
+## Setup
+
+1. Login to JupyterHub: https://icesat-2.hackweek.io/hub/login
+2. Open a Terminal: Find Terminal icon at the bottom (or click the `+` sign on the top left)
+3. Clone GitHub repo (type on the terminal): `git clone https://github.com/ICESAT-2HackWeek/intro-hdf5.git`
+
+## Questions
+
+Post your question in the [#questions](https://icesat2hackweek.slack.com/archives/C014V14KA3G) channel on Slack
+
+## Credit
+
+The algorithms used in this tutorial are downscaled versions of an open-source Python altimetry package, currently being developed at JPL/Caltech: [captoolkit](https://github.com/fspaolo/captoolkit). This package provides a range of algorithms for common tasks in altimetry data processing. We also use the convenient data download interface from [icepyx](https://github.com/icesat2py/icepyx). 
+
+## License
+
+The content of this project itself is licensed under the [Creative Commons Attribution 3.0 Unported license](https://creativecommons.org/licenses/by/3.0/), and the underlying source code used to format and display that content is licensed under the [MIT licenseo](https://github.com/github/choosealicense.com/blob/gh-pages/LICENSE.md).