South Fork Payette River, Idaho (August 2019)

Below are resources I have found helpful in advancing my science and my efforts towards creating a more diverse, equitable, and inclusive scientific community as well as resources to be a better scientist (this list is always growing):

Counseling Services at UNR: www.unr.edu/counseling

Anti-Racism Resources
Particles for Justice Recommended Resources compiled for the Strike for Black Lives
Resources compiled by #ShutDownSTEM
Links pulled from the article "White Academia: Do Better" by Jasmine Roberts:

• ​TEDx talks to help educate on racism and actions to eliminate it
• 7 Anti-Racist Books
• Podcasts on Race in America

Understanding Tribal Lands (UNR is on the land of the Washoe Tribe)
Map of Native Lands of North America: https://native-land.ca/
Information on Tribal Lands in Nevada
Understanding more about UNR Land Grab (High Country News)

Searching for Jobs or Graduate School Opportunities
Sign up for the Earth Science Job Board mailing list
Sign up for ecolog-l mailing list
Josh's Water Jobs
Texas A&M Natural Resources Job Board
Society for Freshwater Science Job Board
Association for the Sciences of Limnology and Oceanography Job Board

Applying for federal jobs? Some useful links from Francine Mejia, Kathi Jo Jankowski, & Bella Oleksy:
USAJobs Guide for Biologists and Ecologists
Insights into Government Employment
Writing a Federal Government Resume
Twitter thread by Jordan Read on applying for USGS Data Science jobs
​Examples of Qualification Letters

​Resources on how to live a sustainable life as a scientist (trying not to work to death)
Conscious Leadership​

Statistics
UC Riverside Graduate Quantitative Methods Center: Resources on Statistical Analysis
University of Washington Applied Time Series Analysis for Fisheries and Environmental Sciences
PDF of Spatio-temporal Statistics with R by ​Wikle, C. K., Zammit-Mangion, A., and Cressie, N. (2019)

Guides to using Stan/rstan (from UNR StatsChat group): 
Quick walkthrough on using Rstan: https://ourcodingclub.github.io/tutorials/stan-intro/
Another guide: https://m-clark.github.io/bayesian-basics/
Introduction to Stan: https://betanalpha.github.io/assets/case_studies/stan_intro.html
List of tutorials and papers directly on Stan website: https://mc-stan.org/users/documentation/tutorials
MCMC interactive sampling visualization: http://chi-feng.github.io/mcmc-demo/app.html
Stan reference manual on HMC sampling: https://mc-stan.org/docs/2_26/reference-manual/hmc-chapter.html

Field Resources
Essential Accessories for Using a Smartphone in the Field
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