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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 and atmospheric sciences
- Subject:
- atmospheric moisture
- Creator:
- Wasserstein, M. L. and Steenburgh, W. J.
- Contributor:
- Alta Ski Area
- Owner:
- BRANDON PATTERSON
- Based Near Label Tesim:
- Alta, Utah, United States
- Language:
- English
- Date Uploaded:
- 09/14/2023
- Date Modified:
- 11/29/2023
- Date Created:
- 1999-01-01 to 2023-12-31
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- www.doi.org/10.7278/S50d-nsy5-8bje
-
- Description:
- See attached README for further description.
- Keyword:
- surface electric fields and FDTD
- Subject:
- electric field
- Creator:
- Sharma Paneru, Prashanna
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 09/11/2023
- Date Modified:
- 11/29/2023
- Date Created:
- 2021-05-01 to 2023-09-30
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Identifier:
- https://hive.utah.edu/concern/datasets/6q182k22r
-
Dataset for: Anatomical Variations of the Cardiac Conduction System in Healthy Neonatal Human Hearts
- Description:
- See README file for further description.
- Keyword:
- congenital heart surgery and computer vision
- Subject:
- Heart Defects, Congenital and Thoracic Surgery
- Creator:
- Cottle, Brian, Hitchcock, Robert, and Sachse, Frank
- Depositor:
- Madison Golden
- Owner:
- Brian Cottle
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 09/01/2023
- Date Modified:
- 11/29/2023
- Date Created:
- 2021-04-01 to 2023-08-31
- 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-a5t5-5jm8
-
- 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, and Virtual outcrop models of ancient river-dominated delta system
- Subject:
- Cretaceous Period, Outcrops, and Deltas
- Creator:
- Emma Morris, Cari Johnson, and Claire Atlas
- Owner:
- Emma Morris
- Based Near Label Tesim:
- Helper, Utah, United States
- Language:
- English
- Date Uploaded:
- 04/07/2023
- Date Modified:
- 11/28/2023
- Date Created:
- 2020-01-01 to 2022-05-31
- 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
-
- 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 and patient contact
- Subject:
- cardiology
- Creator:
- Rubin, Michael, Haroldsen, Candace, and Leecaster, Molly
- Owner:
- Michael Rubin
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 05/23/2023
- Date Modified:
- 11/28/2023
- Date Created:
- 2018-03-01 to 2018-04-28
- 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:
- 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:
- Biomedical Engineering, Computer Simulation, and Atrial Flutter
- Subject:
- Biomedical Engineering
- Creator:
- Lange, Matthias, Dosdall, Derek J., Kwan, Eugene, MacLeod, Rob S., Bunch,T. Jared, and Ranjan, Ravi
- Owner:
- Matthias Lange
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/10/2023
- Date Modified:
- 11/28/2023
- Date Created:
- 2020-01-01 to 2022-12-31
- License:
- CC BY – Allows others to use and share your data, even commercially, with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://toi.lib.utah.edu/resolve/10.7278/S50d-fdna-tekm
-
- Description:
- This dataset contains code used to generate and the results of 2D numerical modeling simulations of ambient resonance in damaged rock slopes. All simulations were performed using the Universal Distinct Element Code (UDEC) version 7.0. We simulated progressive damage for three different landslide types: slab toppling, flexural toppling, and planar sliding. For each scenario we simulated several stages of progressive rock slope damage. Subsequently, we recorded the resonance response of the rock slope at each stage by measuring x-direction velocity at one or more measuring points throughout the model.
- Subject:
- landslides, mathematical modeling, slope stability, and engineering geology
- Creator:
- Moore, Jeffrey R. and Jensen, Erin K.
- Owner:
- Jeff Moore
- Based Near Label Tesim:
- Utah, Utah, United States
- Language:
- English
- Date Uploaded:
- 10/18/2023
- Date Modified:
- 10/28/2023
- Date Created:
- 2023-01-01 to 2023-10-18
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-j662-kdt9
-
- 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:
- Localization of the components of the cardiac conduction system (CCS) is essential for many therapeutic procedures in cardiac surgery and interventional cardiology. While histological studies provided fundamental insights into CCS localization, this information is incomplete and difficult to translate to aid in intraprocedural localization. To advance our understanding of CCS localization, we set out to establish a framework for quantifying nodal region morphology. Using this framework, we quantitatively analyzed the sinoatrial node (SAN) and atrioventricular node (AVN) in ovine with menstrual age ranging from 4.4 to 58.3 months. In particular, we studied the SAN and AVN in relation to the epicardial and endocardial surfaces, respectively. Using anatomical landmarks, we excised the nodes and adjacent tissues, sectioned those at a thickness of 4 µm at 100 µm intervals, and applied Masson’s trichrome stain to the sections. These sections were then imaged, segmented to identify nodal tissue, and analyzed to quantify nodal depth and superficial tissue composition. The minimal SAN depth ranged between 20 and 926 µm. AVN minimal depth ranged between 59 and 1192 µm in the AVN extension region, 49 and 980 µm for the compact node, and 148 and 888 µm for the transition to His Bundle region. Using a logarithmic regression model, we found that minimal depth increased logarithmically with age for the AVN (R2=0.818, P=0.002). Also, the myocardial overlay of the AVN was heterogeneous within different regions and decreased with increasing age. Age associated alterations of SAN minimal depth were insignificant. Our study presents examples of characteristic tissue patterns superficial to the AVN and within the SAN. We suggest that the presented framework provides quantitative information for CCS localization. Our studies indicate that procedural methods and localization approaches in regions near the AVN should account for the age of patients in cardiac surgery and interventional cardiology.
- Subject:
- cardiology and physiology
- Creator:
- Frank Sachse, Brian K. Cottle, and Jordan Johnson
- Owner:
- Frank Sachse
- Language:
- English
- Date Uploaded:
- 11/13/2019
- Date Modified:
- 05/17/2023
- Date Created:
- 2018
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/doi:10.7278/S50D-546S-4RVW
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- Creator:
- Chen, Jiahui , Breen, Joe, Van der Merwe, Jacobus, and Phillips, Jeff M.
- Owner:
- Jiahui Chen
- Date Uploaded:
- 09/04/2020
- Date Modified:
- 09/04/2020