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- Description:
- This data set contains 12-hour manual new snow and liquid precipitation equivalent (LPE) observations collected at the Alta-Collins (CLN) snow-study plot during the 2000–2023 cool seasons (October 1–April 30 with the year defined by the ending calendar year). CLN is located mid-mountain at Alta Ski Area in the Wasatch Range of northern Utah (approximately 111.63889W, 40.57607N) at an elevation of 2945 m.
- Keyword:
- precipitation, Atmospheric Sciences, and snow
- Subject:
- Atmospheric Sciences
- Creator:
- Wasserstein, M. L. and Steenburgh, W. J.
- Contributor:
- Alta Ski Area
- Owner:
- BRANDON PATTERSON
- Date Uploaded:
- 09/14/2023
- Date Modified:
- 09/15/2023
- Date Created:
- 1999–2023
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Keyword:
- Surface electric fields, FDTD
- Creator:
- Sharma Paneru, Prashanna
- Owner:
- Date Uploaded:
- 09/11/2023
- Date Modified:
- 09/13/2023
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
3. Dataset for: Anatomical Variations of the Cardiac Conduction System in Healthy Neonatal Human Hearts
- Keyword:
- Congenital Heart Surgery, Computer Vision, Anatomy, Pediatric, and Cardiology
- Creator:
- Cottle, Brian, Sachse, Frank, and Hitchcock, Robert
- Depositor:
- Madison Golden
- Owner:
- Brian Cottle
- Date Uploaded:
- 09/01/2023
- Date Modified:
- 09/01/2023
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Identifier:
- https://doi.org/10.7278/S50d-a5t5-5jm8
- Description:
- The purpose of this derived dataset was to analyze menstrual cycle lengths in relation to lunar calendar. This datafile of start and end date of 3324 menstrual cycles of 581 women is part of a combined dataset of three cohorts of heterosexually active women who received instruction in the Creighton Model FertilityCare System (CrM) through centres across the United States and Canada. The CrM has standardised protocols for teaching women how to observe, record, and interpret daily vaginal discharge from bleeding and cervical fluid on a daily diary, called a CrM chart, and to use these standardised observations to identify the estimated time of ovulation and days when intercourse is likely to result in pregnancy. The cohorts included: "Creighton Model Effectiveness, Intentions, and Behaviours Assessment" (CEIBA) (2009–2013), a prospective cohort of women without known subfertility, aimed to evaluate and classify pregnancy rates and pregnancy intentions during use of the CrM; "Creighton Model MultiCenter Fecundability Study" (CMFS) (1990–1996), a retrospective cohort of presumably fertile and subfertile women using CrM, aimed to assess the relationship between vulvar mucus observations and the day and cycle-specific probabilities of conception; and "Time to Pregnancy in Normal Fertility" (TTP) (2003–2006), a parallel-randomised trial, which aimed to assess the impact of CrM use on time to pregnancy in couples of proven fertility trying to conceive. Each of the cohorts aimed to include heterosexually active couples with normal fecundity. Eligibility criteria were assessed by women's responses to the CrM general intake form and/or a screening questionnaire. Eligibility requirements in the original studies included women, age 18–40 years old (upper limit of 35 years for TTP), not pregnant at entry, having regular menstrual bleeding, and not breast feeding (CMFS and TTP), or if breast feeding, not doing so exclusively (CEIBA). Recent users of oral contraceptives had to have at least one menstrual bleed (CEIBA) or two menstrual bleeds (TTP) since stopping the oral contraceptives; however, for CMFS there was no restriction for time since discontinuing oral contraceptives. All studies also required normal menstrual patterns since last use of depo-medroxy-progesterone acetate or a hormonal intra-uterine device.
- Keyword:
- menstruation, fertility, fecundity, and menstrual cycle
- Subject:
- menstruation and reproductive health
- Creator:
- Najmabadi, Shahpar and Stanford, Joseph
- Contributor:
- Kruletz, Sebrena, Chang, Esther, Fryer, Julie, Lowe, Michael, Crockett, Becky, Krakowiak, Daisy, Hansen, Jared, Musso, Iris, Carruth, Kaitlin, Wu, Charles, Singh, Nirupma, and Xu, Crystal
- Owner:
- Joseph Stanford
- Language:
- English
- Date Uploaded:
- 08/24/2023
- Date Modified:
- 08/25/2023
- Date Created:
- 1990-2013
- 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-4gxs-s4hj
- Keyword:
- research education, learning modalities, responsible conduct of research
- Creator:
- Morris, Jesse
- Owner:
- Jesse Morris
- Date Uploaded:
- 08/23/2023
- Date Modified:
- 08/28/2023
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- 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:
- learning modalities, responsible conduct of research, and research education
- Subject:
- Undergraduates, Education, Higher, and Research--Moral and ethical aspects
- Creator:
- Morris, Jesse, Hofman, Erin, and Frost, Caren
- Owner:
- Jesse Morris
- Language:
- English
- Date Uploaded:
- 08/23/2023
- Date Modified:
- 08/30/2023
- Date Created:
- 20220914
- 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:
- Isotopic data in this database includes 863 samples from 34 papers and three previously published compilations. For each sample, this database provides location, age, and reference information presented in the first columns. Locations are recorded in latitude and longitude (WGS84). The information about the location source uses the same criteria used for the elemental geochemical database (“GPS”, “Figure-Polygon” and “Figure-Point”). Age is provided according to the original source and includes two general scenarios: an age with uncertainty at 2σ level and a general estimation for the age with no associated error. Sm-Nd and Rb-Sr data are based on whole rock analysis. Lu-Hf data are based on zircon analysis. Sm-Nd data includes Sm and Nd in ppm, 147Nd/144Nd and 143Nd/144Nd in ratios, Nd uncertainties at 2σ level, and Nd values in the epsilon notation as presented in the data source. Rb-Sr data include Rb and Sr in ppm; 87Rb/86Sr, 87Sr/86Sr, and initial 87Sr/86Sr in ratios, and Sr uncertainties at 2σ level. Lu-Hf data includes 176Yb/177Hf, 176Lu/177Hf, and 176Hf/177Hf rations and their uncertainties at 2σ level, the initial 176/177Hf ratio, Hf values in the epsilon notation and Hf uncertainties at 1σ and 2σ level, all as presented in the data source. Uncertainties related to the data location and heterogenous data distribution should be considered. Samples for the two batholiths in Mongolia are concentrated in central Mongolia and include Sm-Nd and Lu-Hf data. In the Erguna and Xing’an magmatic provinces, available samples provide mainly Lu-Hf data which are relatively better distributed than in the other regions.
- Keyword:
- Isotopes, Mongolo Okhotsk Ocean, Magmatism, and closure
- Creator:
- Johnson, Cari L., Lippert, Peter C., Ochir, Gerel, Henriquez, Susana, Webb, Laura E., and Lambart, Sarah
- Owner:
- Language:
- English
- Date Uploaded:
- 06/26/2023
- Date Modified:
- 08/15/2023
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- https://toi.lib.utah.edu/resolve/10.7278/S50d-0phb-z0x0
- Description:
- Abstract from Paper (Lange et. al, 2022): Atypical atrial flutter is seen post-ablation in patients, and it can be challenging to map. These flutters are typically set up around areas of scar in the left atrium. MRI can reliably identify left atrial scar. We propose a personalized computational model using patient specific scar information, to generate a monodomain model. In the model conductivities are adjusted for different tissue regions and flutter was induced with a premature pacing protocol. The model was tested prospectively in patients undergoing atypical flutter ablation. The simulation-predicted flutters were visualized and presented to clinicians. Validation of the computational model was motivated by recording from electroanatomical mapping. These personalized models successfully predicted clinically observed atypical flutter circuits and at times even better than invasive maps leading to flutter termination at isthmus sites predicted by the model.
- Keyword:
- Computer Simulation and Atrial flutter
- Subject:
- Biomedical Engineering
- Creator:
- Bunch,T. Jared, Lange, Matthias, MacLeod, Rob S., Ranjan, Ravi, Kwan, Eugene, and Dosdall, Derek J.
- Owner:
- Matthias Lange
- Language:
- English
- Date Uploaded:
- 06/10/2023
- Date Modified:
- 06/20/2023
- Date Created:
- 2020-2022
- License:
- CC BY – Allows others to use and share your data, even commercially, with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://toi.lib.utah.edu/resolve/10.7278/S50d-fdna-tekm
9. Raw Wireless Sensor Data from the University of Utah from the CDC-funded Granular Modeling Project
- Description:
- The objective of using the wireless sensors was to improve understanding of the heterogeneity of healthcare worker (HCW) contact with patients and the physical environment in patients’ rooms. The framework and design were based on contact networks with a) nodes defined by HCW’s, rooms, and items in the room and b) edges defined by HCW’s in the room, near the bed, and touching items. Nodes had characteristics of HCW role and room number. Edges had characteristics of day, start time, and duration. Thus, patterns and heterogeneity could be understood within contexts of time, space, roles, and patient characteristics. At the University of Utah Hospital Cardiovascular ICU (CVICU), a 20-bed unit, we collected data for 54 days. HCW contact with patients was measured using wireless sensors to capture time spent in patient rooms as well as time spent near the patient bed. HCW contact with the physical environment was measured using wireless sensors on the following items in patient rooms: door, sink, toilet, over-bed table, keyboard, vital signs monitor touchscreen, and cart. HCW’s clipped a sensor to their clothing or lanyard.
- Keyword:
- wireless sensors, patient contact, HCW, contact networks, patient interaction, and health care workers
- Subject:
- cardiology
- Creator:
- Haroldsen, Candace, Leecaster, Molly, and Rubin, Michael
- Owner:
- Michael Rubin
- Language:
- English
- Date Uploaded:
- 05/23/2023
- Date Modified:
- 05/30/2023
- Date Created:
- 20180301 to 20180428
- 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-acm8-epwg
- Description:
- This study investigates the internal facies architecture of a river-dominated delta deposit using outcrops of the Cretaceous Panther Tongue of the Star Point Sandstone in central Utah, U.S.A. A series of photorealistic virtual outcrop models (VOM) were created from ~13 linear-km of outcrop. These VOMs, alongside field observations, were used to identify and map facies and facies associations over the ~25 m-thick stratigraphic interval. A new workflow for querying VOMs as outcrop analogs for subsurface reservoir analogs was developed, using a database of measurements (Panther Tongue - outcrop analog - metric database) was constructed using 60 digital sections that were measured within the VOMs at 152 m (~500 ft) spacing. This database characterizes a total of 508 sandstone beds by their thickness, length, and dip, from which the average thickness (0.78 m), bed length (330 m), and bed dip (2˚ towards the south) were calculated. Thinning rates were also calculated in both depositional strike and depositional dip directions (1.37x10-2 and 1.01x10-2 respectively). The workflow established in this study is applicable to other sedimentary outcrops and environments, thus demonstrating that VOMs can be used as a basis for quantitative database development and reservoir modeling inputs.
- Keyword:
- Shallow marine sedimentology , Outcrop metrics, Virtual outcrop models, Reservoir characterization , and Delta lobes
- Subject:
- Virtual outcrop models of ancient river-dominated delta system
- Creator:
- Claire Atlas, Emma Morris, and Cari Johnson
- Owner:
- Emma Morris
- Language:
- English
- Date Uploaded:
- 04/07/2023
- Date Modified:
- 04/07/2023
- Date Created:
- January 2020-May 2022
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Other
- Identifier:
- https://doi.org/10.7278/S50d-njws-r7tz