CyVerse NEON Airborne Observation Platform Workshop

Location: ENR2 Room N595

Times: 09:00 - 17:00 MST, UTC-7

Date: Friday November 19th 2021

Ready to join the workshop? Follow these steps:

Step 1: Create CyVerse Account (free) CyVerse User Portal

Please use your institutional email address, and if you don’t have an ORCID ID - sign up for one of those too, they’re super important and valuable!

Step 2: Sign up for Workshop Workshop Enrollment

Step 3: Review this website – training materials will be posted or linked from here

Goal

The goals of the workshop are to allow you as new data scientists to leave with an understanding of the NEON Data API and working with NEON AOP data and to introduce CyVerse as a platform for conducting data intensive scientific research.

You will have opportunities to work in your preferred Integrated Development Environment (IDE) in the public research cyberinfrastructure. CyVerse enables you to work with large and very large analyses. You will be able to work with NEON AOP data across many sites and many years worth of data without ever having to “download” anything over your local internet service provider.

Tutorial Maintainer(s)

Who to contact if this guide needs fixing.

Maintainer	Institution	GitHub Username
Tyson Swetnam	CyVerse / University of Arizona	`tyson-swetnam`
Bridget Hass	NEON / Battelle Inc	`bridgethass`

Content Links

Use the table of contents on the left side of the page to navigate

Prerequisites

Downloads, access, and services

In order to complete this tutorial you will need access to the following services/software

Prerequisite	Preparation/Notes	Link/Download
	You will need a CyVerse account to use our tools	CyVerse User Portal
	CyberDuck File manager (Windows and Mac OS X only)	Download Cyberduck
	GitHub allows you to create your own version controlled repositories	GitHub
	Google Earth Engine (GEE) code editor account	GEE

Platform(s)

We provide ready-to-use examples of (1) Docker containers with pre-configured geospatial software environments, (2) Notebook examples of NEON AOP geospatial data analyses, & (3) ReadTheDocs style documentation that will allow for self-paced asynchonous learning as well as opportunities for in-person live coding.

We will use the following CyVerse platform(s):

Platform	Interface	Link	Platform Tour
Data Store	GUI/Command line	Data Store	Data Store Guide
Discovery Environment	Web/Point-and-click	Discovery Environment	Discovery Environment Guide
Learning Center	ReadTheDocs	This website	CyVerse Learning Center

Application(s) used

Discovery Environment App(s):

App name	Version	Description	GitHub repositories
RStudio	`latest`	Rocker Project RStudio with geospatial applications pre-installed	CyVerse RStudio GitHub
JupyterLab	`2.2.9`	Jupyter Lab Data Science Notebook with geospatial applications pre-installed	CyVerse JupyterLab GitHub
GIS Desktop	`latest`	Ubuntu Desktop with QGIS, GRASS-GIS, SAGA-GIS, PDAL, & GDAL tools	QGIS Xpra GitHub

Input and example data

In order to complete this tutorial you will need to have the following inputs prepared

Input File(s)	Format	Preparation/Notes	Example Data
NEON API	various	Use in browser or R Studio Shiny App	NEON Shiny Browser
Sample Datasets	various	Example datasets cached on the CyVerse Data Store	WebDav

Fix or improve this documentation

Search for an answer: CyVerse Learning Center
Ask us for help: click on the lower right-hand side of the page
Report an issue or submit a change: Github Repo Link
Send feedback: learning@CyVerse.org

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