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[Tackling Toxicity.] Appendix A: Survey questions
This handout was presented along with a poster that presented the preliminary results from a survey of library employees on their experiences with toxic workplaces in libraries. This handout details the survey questions and the sources used to develop the survey. It was presented at the Electronic Resources & Libraries 2020 conference held in Austin, Texas.
Date:
March 10, 2020
Creator:
Dewitt-Miller, Erin & Crawford, Laurel
Object Type:
Text
System:
The UNT Digital Library
[Tackling Toxicity.] Appendix B: Warning Signs - Looking in from the Outside
This handout was presented along with a poster that presented the preliminary results from a survey of library employees on their experiences with toxic workplaces in libraries. This handout details signs to look for during interviews and suggested questions to ask to determine if their is a toxic workplace environment. It was presented at the Electronic Resources & Libraries 2020 conference held in Austin, Texas.
Date:
March 10, 2020
Creator:
Dewitt-Miller, Erin & Crawford, Laurel
Object Type:
Text
System:
The UNT Digital Library
Tackling Toxicity: Predicting, Surviving, & Preventing Toxic Workplaces
This poster presents preliminary results from a survey of library employees on their experiences with toxic workplaces in libraries. The poster includes the most-reported toxic behaviors, advice for employees and employers on how to manage or avoid a toxic workplace environment. It was presented at the Electronic Resources & Libraries 2020 conference held in Austin, Texas.
Date:
March 10, 2020
Creator:
Dewitt-Miller, Erin & Crawford, Laurel
Object Type:
Poster
System:
The UNT Digital Library
A semi-automated method for extracting channels and channel profiles from lidar-derived digital elevation models
Article introduces a semi-automated method for extracting stream channels and channel profiles from high-resolution digital elevation models (DEMs) using image processing techniques. The method is implemented as an ArcGIS Python add-in toolbar named Channel Extraction and demonstrated using a lidar-derived DEM in a study area along the San Andreas fault in California, USA.
Date:
March 10, 2020
Creator:
Dong, Pinliang; Zhong, Ruofei; Xia, Jisheng & Tan, Shucheng
Object Type:
Article
System:
The UNT Digital Library
Testing gene-environment interactions for rare and/or common variants in sequencing association studies
Article describes study in which novel approaches to test the effects of gene-environment (GE) interactions of rare and/or common risk, and/or protective variants in sequencing association studies were developed.
Date:
March 10, 2020
Creator:
Zhao, Zihan; Zhang, Jianjun; Sha, Qiuying & Hao, Han
Object Type:
Article
System:
The UNT Digital Library