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- Description:
- The COVID-19 pandemic disrupted scientific research, teaching, and learning in higher education and forced many institutions to explore new modalities in response to the abrupt shift to remote learning. Accordingly, many colleges and universities struggled to provide the training, technology, and best practices to support faculty and students, especially those at historically disadvantaged and underrepresented institutions. In this study we investigate different remote learning modalities to improve and enhance research education training for faculty and students. We specifically focus on Responsible and Ethical Conduct of Research (RECR) and Research Mentoring content to help address the newly established requirements of the National Science Foundation for investigators. To address this need we conducted a workshop to determine the effectiveness of three common research education modalities: Live Lecture, Podcast, and Reading. The Live Lecture sessions provided the most evidence of learning based on the comparison between pre- and post-test results, whereas the Podcast format was well received but produced a slight (and non-significant) decline in scores between the pre- and post-tests. The Reading format showed no significant improvement in learning. The results of our workshop illuminate the effectiveness and obstacles associated with various remote learning modalities, enabling us to pinpoint areas that require additional refinement and effort, including the addition of interactive media in Reading materials.
- Keyword:
- responsible conduct of research and learning modalities
- Subject:
- Undergraduates, Research--Moral and ethical aspects, and Education, Higher
- Creator:
- Frost, Caren, Hofman, Erin, and Morris, Jesse
- Owner:
- Jesse Morris
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 08/23/2023
- Date Modified:
- 11/29/2023
- Date Created:
- 2022-09-14
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-3sq8-aj8y
- Description:
- Objectives: Falls in hospitals pose a significant safety risk, leading to injuries, prolonged hospitalization, and lasting complications. This study explores the potential of augmented reality (AR) technology in healthcare facility design to mitigate fall risk. Background: Few studies have investigated the impact of hospital room layouts on falls due to the high cost of building physical prototypes. This study introduces an innovative approach using AR technology to advance methods for healthcare facility design efficiently. Methods: Ten healthy participants enrolled in this study to examine different hospital room designs in AR. Factors of interest included room configuration, door type, exit side of the bed, toilet placement, and the presence of IV equipment. AR trackers captured trajectories of the body as participants navigated through these AR hospital layouts, providing insights into user behavior and preferences. Results: Door type influenced the degree of backward and sideways movement, with the presence of an IV pole intensifying the interaction between door and room type, leading to increased sideways and backward motion. Participants displayed varying patterns of backward and sideways travel depending on the specific room configurations they encountered. Conclusions: AR can be an efficient and cost-effective method to modify room configurations to identify important design factors before conducting physical testing. The results of this study provide valuable insights into the effect of environmental factors on movement patterns in simulated hospital rooms. These results highlight the importance of considering environmental factors, such as the type of door and bathroom location, when designing healthcare facilities.
- Keyword:
- hospital room and fall prevention
- Subject:
- Patients' Rooms and Accident Prevention
- Creator:
- Seddighi, Nooshin, Fino, Peter C. , and Wong, Bob
- Owner:
- Madison Golden
- Based Near Label Tesim:
- University of Utah, Utah, United States
- Language:
- English
- Date Uploaded:
- 11/09/2023
- Date Modified:
- 10/29/2024
- Date Created:
- 2022-07-14 to 2022-11-18
- License:
- Other – See README file for more information.
- Resource Type:
- Dataset
- Identifier:
- http://doi.org/10.7278/S50d-evm5-vh17
- Description:
- The dataset was collected in the process of carrying out a research on the effects of photochemical aging and interactions with secondary organic aerosols on cellular toxicity of combustion particles between the year 2021 to 2022
- Keyword:
- combustion particles, photochemical aging, and secondary organic aerosols
- Subject:
- combustion, combustion products, photochemical reactions, and aerosols
- Creator:
- Reuben, Attah, Kelly, Kerry, and Kaur, Kamaljeet
- Owner:
- Reuben Attah
- Based Near Label Tesim:
- University of Utah, Utah, United States
- Language:
- English
- Date Uploaded:
- 02/09/2023
- Date Modified:
- 06/03/2024
- Date Created:
- 2021-06-01 to 2022-12-31
- License:
- CC BY – Allows others to use and share your data, even commercially, with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-2a2h-jeaa
- Description:
- This dataset accompanies the research article entitled, "Ambient vibration modal analysis of natural rock towers and fins," where we investigate the ambient vibrations of 14 rock rowers and perform modal analysis on 3D models of the landforms. Included are the vibration data and 3D models.
- Keyword:
- modal analysis, geology, Utah, photogrammetry, sandstone, conglomerate, resonance, environmental seismology, and rock towers
- Subject:
- geology and seismology
- Creator:
- Bodtker, Jackson, Bessette-Kirton, Erin K., Dzubay, Alex, Vollinger, Kathryn, Geimer, Paul R., Moore, Jeffrey R., and Finnegan, Riley
- Owner:
- BRANDON PATTERSON
- Based Near Label Tesim:
- Utah, Utah, United States
- Language:
- English
- Date Uploaded:
- 09/17/2021
- Date Modified:
- 12/07/2023
- Date Created:
- 2018-01-01 to 2021-09-17
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50D-N12Q-SA1Z
- Description:
- The purpose of this dataset is to use a full powered pilot sample (n=166) and a randomized waitlist control experimental design where participants are exposed to either the full intervention for 16 weeks or partial intervention for the first 8 weeks and then full intervention for weeks 9-16. All participants were given a follow-up survey 4 weeks after completing the intervention. The measures included in this dataset are related to respite, respite time-use, and well-being. These pilot data were used to assess feasibility and to explore hypotheses regarding the potential efficacy of the intervention, as well as the mechanism (i.e., time-use satisfaction) underlying the interventions effect on wellbeing.
- Keyword:
- respite, caregiver, behavior modification, online intervention, and community-engaged research
- Subject:
- Internet-Based Intervention, Caregivers, and Dementia
- Creator:
- Utz, Rebecca
- Owner:
- Date Uploaded:
- 02/10/2024
- Date Modified:
- 10/29/2024
- Date Created:
- 2020-10-14 to 2022-08-05
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- http://doi.org/10.7278/S50d-2rgg-4549
- Description:
- This dataset contains GIS map data and monitoring datasets collected between 2018 and 2022 at the Courthouse Mesa rock slope instability near Moab, Utah. Map data consist of an orthophoto, a polyline shapefile delineating mapped surficial cracks, and a point shapefile showing the locations of crack width monitoring points (M1–M5) and a vibrating wire crackmeter. Monitoring data include four years of continuous crack aperture measurements from the crackmeter, periodic crack width measurements from M1–M5, and three sets of air temperature measurements recorded between 2018 and 2022. Air temperatures were measured at the surface and inside the crack at several depths throughout the monitoring period.
- Subject:
- slope stability, engineering geology, geomorphology, and landslides
- Creator:
- Moore, Jeffrey R., Jensen, Erin K., Finnegan, Riley, and Geimer, Paul R.
- Owner:
- Erin Jensen
- Based Near Label Tesim:
- Moab, Utah, United States
- Language:
- English
- Date Uploaded:
- 07/19/2023
- Date Modified:
- 10/27/2023
- Date Created:
- 2018-01-01 to 2022-12-31
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-e0es-913n
- Description:
- This dataset contains measurements from an OTT PARticle SIze and VELocity (PARSIVEL) disdrometer which was installed on the roof of Highland High School in Salt Lake City, Utah, USA (40.724486°N; 111.843723°W; 1372 m MSL) during the cool seasons (November 15 – April 30) ending 2023 through 2024.
- Keyword:
- Orographic precipitation, Snow, Disdrometer, and PARSIVEL
- Subject:
- Atmospheric Science, Precipitation, and Snow
- Creator:
- Kingsmill, David E., Veals, Peter G., Wasserstein, Michael L., Evans, Ashley, and Steenburgh, Jim
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/05/2025
- Date Modified:
- 06/10/2025
- Date Created:
- 2022-11-26 to 2024-05-10
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-8vtz-5fsn
- Description:
- This is data from a Micro Rain Radar (MRR) that was deployed at Alta, UT from 2022–2024. The MRR is a vertically pointing Doppler radar that operates at a frequency of 24 GHz (K-band). The radar collects time series of equivalent reflectivity, Doppler velocity, and Doppler velocity spectrum width, all in 1-dimension (the vertical).
- Keyword:
- MRR, Profiling Radar, Snow, and Precipitation
- Subject:
- Radar, Precipitation, Snow, and Atmospheric Science
- Creator:
- Steenburgh, Jim, Wasserstein, Michael L., and Veals, Peter G.
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Alta, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/02/2025
- Date Modified:
- 06/06/2025
- Date Created:
- 2022-10-28 to 2024-05-15
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-wern-v6kz
- Description:
- This dataset contains precipitation measurements from an OTT PARticle SIze and VELocity (PARSIVEL) disdrometer which was installed at the Atwater snow study plot in the town of Alta, Utah, USA (40.591269°N; 111.637789°W; 2682 m MSL) during the cool seasons ending 2023 through 2024.
- Keyword:
- Orographic precipitation, Snow, Disdrometer, and PARSIVEL
- Subject:
- Atmospheric Science, Precipitation, and Snow
- Creator:
- Evans, Ashley, Wasserstein, Michael L., Kingsmill, David E., Steenburgh, Jim, and Veals, Peter G.
- Owner:
- Based Near Label Tesim:
- Alta, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/05/2025
- Date Modified:
- 06/10/2025
- Date Created:
- 2022-11-15 to 2024-05-15
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-wtpn-az0j
- Description:
- This is data from a Micro Rain Radar (MRR) that was deployed at Highland High School in Salt Lake City, UT from 2022–2024. The MRR is a vertically pointing Doppler radar that operates at a frequency of 24 GHz (K-band). The radar collects time series of equivalent reflectivity, Doppler velocity, and Doppler velocity spectrum width, all in 1-dimension (the vertical).
- Keyword:
- MRR, Profiling Radar, Snow, and Precipitation
- Subject:
- Radar, Precipitation, Snow, and Atmospheric Science
- Creator:
- Veals, Peter G., Wasserstein, Michael L., and Steenburgh, Jim
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/02/2025
- Date Modified:
- 06/06/2025
- Date Created:
- 2022-11-23 to 2024-05-10
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-n1jc-2d68