@@ -13,12 +13,12 @@ These tutorials were largely developed by volunteer instructors. Each tutorial w
1313## Re-create the icesat2 hackweek JupyterLab environment with Pangeo Binder
1414
1515## Tutorials
16- ### Introductory Session (slides)
16+ ### 01. Introductory Session (slides)
1717* Anthony Arendt and Charley Haley*
1818
19- [ Slides] ( https://docs.google.com/presentation/d/1kNc6u4mz9qt5TI-DCosSL6jZ5M7q_k3godlBrOE891c/edit?usp=sharing )
19+ * [Slides](https://docs.google.com/presentation/d/1kNc6u4mz9qt5TI-DCosSL6jZ5M7q_k3godlBrOE891c/edit?usp=sharing)
2020
21- ### ICESat-2 Mission: Satellite, Sensor, and Data
21+ ### 02. ICESat-2 Mission: Satellite, Sensor, and Data
2222* Axel Schweiger*
2323
2424* Welcome by the NASA Cryosphere Program Manager (* Thorsten Markus* )
@@ -27,25 +27,26 @@ These tutorials were largely developed by volunteer instructors. Each tutorial w
2727* ICESat-2 data products (* Ben Smith* )
2828 * [ Slides] ( https://github.com/ICESAT-2HackWeek/intro_ICESat2/blob/master/ICESat-2_data_products_Hackweek2020.pptx )
2929
30- ### Git and GitHub
30+ ### 03. Git and GitHub
3131* Fernando Perez*
3232
3333[ intro-git] ( https://github.com/ICESAT-2HackWeek/intro-git )
34+
3435[ Slides] ( https://docs.google.com/presentation/d/1pOWte7V5UbnVBvRktvLbLTRluDwrGbXtIdAZhzAd1AE/edit?usp=sharing )
3536
36- ### Jupyter and iPython
37+ ### 04. Jupyter and iPython
3738* Fernando Perez*
3839
39- [ intro-jupyter] ( https://github.com/ICESAT-2HackWeek/intro-jupyter )
40- [ Slides] ( https://docs.google.com/presentation/d/1TfY7rnCuGQDrlvsf2-P9lNADT2vwiJsdb7vmgZ3SDmA/edit?usp=sharing )
40+ * [intro-jupyter](https://github.com/ICESAT-2HackWeek/intro-jupyter)
41+ * [Slides](https://docs.google.com/presentation/d/1TfY7rnCuGQDrlvsf2-P9lNADT2vwiJsdb7vmgZ3SDmA/edit?usp=sharing)
4142
4243
43- ### overview of python / numpy / pandas / matplotlib / geospatial data processing
44+ ### 05. overview of python / numpy / pandas / matplotlib / geospatial data processing
4445* David Shean*
4546
4647[ geospatial-analysis] ( https://github.com/ICESAT-2HackWeek/geospatial-analysis )
4748
48- ### Introduction to ICESat-2 Sea Ice and Land Ice Products and Data Access
49+ ### 06. Introduction to ICESat-2 Sea Ice and Land Ice Products and Data Access
4950
5051* Sea ice products: overview of products, algorithms, and parameters for sea ice investigations (* Alek Petty* )
5152
@@ -57,32 +58,32 @@ These tutorials were largely developed by volunteer instructors. Each tutorial w
5758
5859* [ data access lesson] ( https://nbviewer.jupyter.org/github/ICESAT-2HackWeek/data-access/blob/master/notebooks/01-Data_Resources_Intro.ipynb )
5960
60- ### Programmatic ICESat-2 data access
61+ ### 07. Programmatic ICESat-2 data access
6162* Jessica Scheick and Amy Steiker*
6263
6364[ Programmatic ICESat-2 data access] ( https://github.com/ICESAT-2HackWeek/data-access )
6465
65- ### Introduction to HDF5 and ICESat-2 data files
66+ ### 08. Introduction to HDF5 and ICESat-2 data files
6667* Fernando Paolo*
6768
6869[ Introduction to HDF5 and ICESat-2 data files] ( https://github.com/ICESAT-2HackWeek/intro-hdf5 )
6970
70- ### Land ice applications
71+ ### 09. Land ice applications
7172* Ben Smith*
7273
7374[ Land ice applications] ( https://github.com/ICESAT-2HackWeek/Land_Ice_Applications )
7475
75- ### Sea ice applications
76+ ### 10. Sea ice applications
7677* Ellen Buckley*
7778
7879 [ Sea ice applications] ( https://github.com/ICESAT-2HackWeek/sea-ice-tutorials )
7980
80- ### Science data generation
81+ ### 11. Science data generation
8182 * Johan Nilsson*
8283
8384 [ Science data generation] ( https://github.com/ICESAT-2HackWeek/ScienceDataGeneration )
8485
85- ### Machine learning
86+ ### 12. Machine learning
8687* Yara Mohajerani and Shane Grigsby*
8788
8889[ Machine learning] ( https://github.com/ICESAT-2HackWeek/Machine-Learning )
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