for Researchers & Teams
Command-line Stata (from RStudio Server)
Local Sync for Research Data
Creating an Email Group List
Connect to a Database Server
Publish Synthesis Data Products
Share Files and Folders with Anyone
Remote Meeting Participants
Run Python Scripts on the Cluster
Run R Scripts on the Cluster
Publish a Shiny App
Create Projects on GitLab
The Compute Cluster
Bulk Uploads and Downloads by SFTP
Research Data Directory
What resources exist for collaborative writing?
How to create a symlink to a research directory in Jupyter lab?
What are SESYNC's cyberinfrastructure policies?
How does SESYNC wind down computational support?
Why isn't my research data directory in '/nfs'?
How do I connect to a video conference?
Why does does my virtual machine show less memory than I requested?
Why does git show that all my files changed when I didn't change them?
What is a virtual machine?
What support does SESYNC provide for custom virtual machines?
Will SESYNC purchase software?
When are the server maintenance windows?
What happens to my jobs during the maintenance window?
How do I manage my mailing list?
Where are Shiny apps published?
How do I access Linux resources?
How do I schedule a conference call?
How do I access my research data directory?
When does SESYNC setup resources for my group?
Should I use GitHub or SESYNC's GitLab?
What's the difference between git, GitHub, and GitLab?
Can code move between GitLab, GitHub, and Bitbucket?
What is the compute cluster?
How do I access my Windows virtual machine?
Do I have to use the cluster?
What's the procedure for having remote participants at my meeting?
What resources are available in the conference rooms?
How do I get a SESYNC account?
How do I create an RStudio project with git?
How do I change my SESYNC password?
What is my SESYNC username?
What resources are available?
How do I contact IT or research support staff?
Publishing Data Papers
Sharing your RShiny App
Adventures in Windows Dynamic Memory
Raster Change Detection Analysis with Two Images
Making "dataspice" at #runconf18
Build a Shiny App to Browse MODIS Data
Standardizing Non-standard Evaluation in R
Writing Data Management Plans
Images for Data Exploration in RShiny Apps
Plots in R
Spatial R Packages
Maps with R
tidyr & dplyr