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Rural Science Teachers Social Network Analysis Matrices, Rebecca L. Sansom, Tracy Poulsen
Rural Science Teachers Social Network Analysis Matrices, Rebecca L. Sansom, Tracy Poulsen
ScholarsArchive Data
These are the social network matrices for our study of rural science teachers. Each matrix is located on a separate tab on the spreadsheet.
Twitter Database Health Visualization, Tor Qureshi
Twitter Database Health Visualization, Tor Qureshi
2023 IDIR Data Visualization Challenges
By utilizing the Twitter IDs and their corresponding posts in the database, we were able to create a UI that generates a graph that demonstrates a word or phrases' usage over time based on the number of times mentioned within the time span of the database (2011-2023). In the future, this could be improved by combining it with the Twitter API to monitor live trends and associations.
Web Cam Feeders Data Collection Sheet, Center For Urban Resilience
Web Cam Feeders Data Collection Sheet, Center For Urban Resilience
Module 13: Birds in the Urban Landscape
No abstract provided.
Ray Et Al.: Pheromone Of The Velvet Longhorned Beetle Trichoferus Campestris, Ann M. Ray, Joseph A. Francese, Yunfan Zou, Kristopher Watson, Damon J. Crook, Jocelyn G. Millar
Ray Et Al.: Pheromone Of The Velvet Longhorned Beetle Trichoferus Campestris, Ann M. Ray, Joseph A. Francese, Yunfan Zou, Kristopher Watson, Damon J. Crook, Jocelyn G. Millar
Faculty Scholarship
No abstract provided.
Greek New Testament For Data Analysis, Keith L. Yoder
Greek New Testament For Data Analysis, Keith L. Yoder
Keith L. Yoder
Lights, Camera...Citizen Science: Assessing The Effectiveness Of Smartphone-Based Video Training In Invasive Plant Identification Dataset, Jared Starr, Charles M. Schweik, Nathan Bush, Lena Fletcher, John T. Finn, Jennifer Fish, Charles T. Bargeron
Lights, Camera...Citizen Science: Assessing The Effectiveness Of Smartphone-Based Video Training In Invasive Plant Identification Dataset, Jared Starr, Charles M. Schweik, Nathan Bush, Lena Fletcher, John T. Finn, Jennifer Fish, Charles T. Bargeron
Environmental Conservation Datasets
The rapid growth and increasing popularity of smartphone technology is putting sophisticated data-collection tools in the hands of more and more citizens. This has exciting implications for the expanding field of citizen science. With smartphone-based applications (apps), it is now increasingly practical to remotely acquire high quality citizen-submitted data at a fraction of the cost of a traditional study. Yet, one impediment to citizen science projects is the question of how to train participants. The traditional “in-person” training model, while effective, can be cost prohibitive as the spatial scale of a project increases. To explore possible solutions, we analyze three …