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):

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

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)

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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