A5059279193- Research Data Management Practices
- Scientific Computing and Data Management
- Rangeland and Wildlife Management
- Plant Water Relations and Carbon Dynamics
- Meteorological Phenomena and Simulations
- Fire effects on ecosystems
- Data Analysis with R
- Reservoir Engineering and Simulation Methods
- Sport and Mega-Event Impacts
- Advanced Data Storage Technologies
- Cryospheric studies and observations
- Hydrology and Watershed Management Studies
Utah State University
2019-2021
There is broad interest to improve the reproducibility of published research. We developed a survey tool assess availability digital research artifacts alongside peer-reviewed journal articles (e.g. data, models, code, directions for use) and article results. used 360 1,989 by six hydrology water resources journals in 2017. Like studies from other fields, we reproduced results only small fraction (1.6% tested articles) using their available artifacts. estimated, with 95% confidence, that...
Climate change is a threat to ski resorts, the industry, and mountain communities that rely on tourism. Ski resorts may be able mitigate some of social economic impacts caused by climate with proactive adaptation strategies. Using historical weather data, future projections, interviews resort managers in Utah (United States), this research investigates effects across state. We examine temperature at all within state from 1980–2018 projections 2021–2100 under different scenarios (RCPs 2.6,...
There have been numerous calls to promote reproducible research. This growing awareness coincides with major advances in data/code sharing technologies. Yet authors, journals, institutions, and funders still need act advance more Here, we suggest view reproducibility as a continuum that includes the 1) availability of data, models, code, directions use digital artifacts, 2) replication results, 3) findings. We present simple survey tool assess where peer-reviewed journal article lies on...
In the Upper Colorado River Basin, agriculture is a major contributor to Utah’s economy, which may be stressed due changing climate. this study, two data-mining techniques and interview data are used explore how climate variability affects agricultural production way farmers have been adapting their practices these changes. first part of we multilinear regression random forest understand relationship between using temperature, precipitation, water availability, hay production, cattle herd...