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Times: 09:00 - 14:00 MST, UTC-7
Dates: Monday 9th, Tuesday 10th November 2020
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 -- all of our training materials will be posted or linked from here
1. Educate one another and engagement between TRIPODS and HDR scientists
2. Ensure that we are conducting open science
3. Use CyVerse architecture for reproducibile research
4. Frame questions for an Institute
Who to contact if this guide needs fixing. You can also email [email protected]
Maintainer | Institution | GitHub Username |
---|---|---|
Tyson Lee Swetnam | CyVerse / University of Arizona | tyson-swetnam |
Ryan Bartleme | CyVerse / University of Arizona | rbartleme |
.. toctree:: :maxdepth: 2 Home <self> Agenda <agenda.rst> Discovery Environment <step1.rst> Your Workspace <step2.rst> Version Control with GitHub <step5.rst> NEON Shiny App <step3.rst> Manage your cloud data <step4.rst>
In order to complete this tutorial you will need access to the following services/software
Prerequisite | Preparation/Notes | Link/Download |
---|---|---|
CyVerse account | You will need a CyVerse account to complete this exercise | |CyVerse User Portal| |
Cyberduck | Standalone software for upload/download to Data Store | Download Cyberduck |
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| |
Discovery Environment App(s):
App name | Version | Description | Quick Launch | GitHub repositories |
---|---|---|---|---|
Workspace | latest |
All the Things Geospatial | CyVerse Workspace GitHub | |
RStudio | 3.6.3 |
Rocker Project RStudio with geospatial applications pre-installed | CyVerse RStudio GitHub | |
JupyterLab | 2.2.5 |
Jupyter Lab Data Science Notebook with Geospatial applications pre-installed | CyVerse JupyterLab GitHub |
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 |
Fix or improve this documentation
- Search for an answer: |CyVerse Learning Center|
- Ask us for help: click |Intercom| on the lower right-hand side of the page
- Report an issue or submit a change: Github Repo Link
- Send feedback: [email protected]