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- Description:
- This collection includes radial component displacement seismograms in the time window including the SKS, SKKS and SPdKS seismic arrivals. These data all interact with ultra-low velocity zone (ULVZ) structures at the core-mantle boundary beneath East Asia. Data used in the study of Festin et al., 2024 (TSR) is included in this collection.
- Keyword:
- ultra-low velocity zones, core-mantle boundary, hotspots, large low velocity provinces, and mantle phases
- Subject:
- geophysics, geology, and seismology
- Creator:
- Thorne, Michael
- Owner:
- Michael Thorne
- Language:
- English
- Date Uploaded:
- 04/12/2024
- Date Modified:
- 05/13/2024
- Date Created:
- 2019-01-01 to 2020-01-01
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-7n1m-4fdp
-
- Description:
- The data from the Digital Library Outreach and Instruction survey is intended to discover how digital library practitioners at various types of cultural institutions promote their unique resources, beyond simply placing content in an online repository for users to discover. Types of outreach investigated include social media promotion, integration of digital collections into teaching and instruction activities, and partnerships with external campus units or community organizations.
- Keyword:
- survey response data, digital libraries, digital repositories, institutional repositories, outreach, instruction, digital humanities, digital scholarship, promotion, partnerships, digital exhibits, and digital collections
- Subject:
- Digital libraries, Library outreach programs, Instruction librarians, and Internet surveys
- Creator:
- Wittmann, Rachel, Myntti, Jeremy, Neatrour, Anna, and Cummings, Rebekah
- Contributor:
- Monson, Jane
- Depositor:
- Kaylee Alexander
- Owner:
- Language:
- English
- Date Uploaded:
- 04/01/2024
- Date Modified:
- 11/05/2024
- Date Created:
- 2022-11-02 to 2022-11-18
- 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-whba-w5tz
-
- Description:
- The microbiology data represents the microorganisms recovered during the study period at the University of Utah hospital from samples collected from patients, environmental surfaces, and healthcare personnel (HCP) hands using premoistened sponges. Patient samples were collected daily from the axilla, groin, and perianal areas or stool. Environmental samples were collected daily from room surfaces and unit common areas (such as bed rails, overbed tables, door handles, computer keyboards, and other high-touch areas). HCP hands were periodically sampled upon HCP exit from a patient room after engaging in health care activities. Samples were collected from the 20-bed University of Utah Hospital Cardiovascular ICU (CVICU) over a 54 day period. The information from these datasets can be used to understand how different organisms appear and move throughout a hospital ward over a period of time.
- Keyword:
- patient sampling, microbiology, multidrug-resistant organisms, healthcare worker hand sampling, and environmental sampling
- Subject:
- microbiology
- Creator:
- Rubin, Michael , Leecaster, Molly, and Haroldsen, Candace
- Contributor:
- Kristina Stratford and Tavis Huber
- Owner:
- Michael Rubin
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 12/26/2023
- Date Modified:
- 01/04/2024
- 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:
- http://doi.org/10.7278/S50d-n2s8-h8jk
-
- Description:
- This dataset contains room occupancy during the study period at University of Utah hospital. Admission, Discharge, and Transfer (ADT) data is captured in participating hospitals to characterize room occupancy and non-occupancy in wards. These data are pulled from multiple sources collected during the study by study staff as well as harvested EHR data. Data were adjudicated and compiled into one comprehensive file. Data manipulation included redaction of dates, replaced with study days 1-n, as well as transformation from long format to wide for ease of use.
- Keyword:
- bed occupancy, transfer, discharge, ADT, and admission
- Subject:
- bed occupancy
- Creator:
- Haroldsen, Candace, Rubin, Michael, and Leecaster, Molly
- Contributor:
- Huber, Tavis and Stratford, Kristina
- Owner:
- Michael Rubin
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 12/26/2023
- Date Modified:
- 11/05/2024
- Date Created:
- 2018-01-01 to 2018-12-31
- 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-6wz0-jk8j
-
- 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. This dataset contains cleaned event-level data processed from sensor pings of RFD reads between healthcare worker worn sensors and environmental sensors placed in facility using methods described in the "Data Cleaning Steps" section.
- Keyword:
- patient contact and wireless sensors
- Subject:
- cardiology
- Creator:
- Leecaster, Molly, Rubin, Michael, and Haroldsen, Candace
- Contributor:
- Huber, Tavis and Stratford, Kristina
- Owner:
- Michael Rubin
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 12/26/2023
- Date Modified:
- 11/05/2024
- Date Created:
- 2018-01-01 to 2018-12-31
- 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-hmxz-4bf1
-
- 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. This dataset contains cleaned sensor pings of RFD reads between healthcare worker worn sensors and environmental sensors placed in facility using methods described in the "Data Cleaning Steps" section.
- Keyword:
- patient contact and wireless sensors
- Subject:
- cardiology
- Creator:
- Rubin, Michael, Haroldsen, Candace, and Leecaster, Molly
- Contributor:
- Huber, Tavis and Stratford, Kristina
- Owner:
- Michael Rubin
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 12/26/2023
- Date Modified:
- 11/05/2024
- Date Created:
- 2018-01-01 to 2018-12-31
- 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-twbh-955q
-
- Description:
- A comprehensive geochemical and stratigraphic study of Cretaceous coal-bearing strata in Utah and western Colorado was performed to evaluate geologic trends in REE-enrichment, as well as elucidate enrichment mechanisms. Preliminary portable X-ray fluorescence (pXRF) analyses (n = 5659) was combined with Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) analyses (n = 135) on particularly REE-enriched samples. Sampling and analyses from active and historic mines as well as nearby cores and outcrops were performed with an emphasis on sedimentary, stratigraphic, geographic, and mining context.
- Keyword:
- critical minerals, Cretaceous period, Mesaverde Group, rare earth elements, energy transition, Ferron Sandstone, Blackhawk Formation, Uinta region, and coal
- Subject:
- economic geology, core analysis, critical minerals , coal resources, nonmetallic mineral resources, sedimentology, and stratigraphy
- Creator:
- Birgenheier, Lauren, Fausett, Peyton, Gall, Ryan, Fernandez, Diego , Giebel, Andrew , Vanden Berg, Michael D., Morris, Emma , Wilcock, Laura , Coe, Haley , and Free, Michael
- Contributor:
- Hoskins, Brittney, Ashurst-McGee, Logan, and Bailey, Nick
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States, Uinta Basin, Utah, United States, and Piceance Creek Basin, Colorado, United States
- Language:
- English
- Date Uploaded:
- 12/14/2023
- Date Modified:
- 12/19/2023
- Date Created:
- 2022-05-23 to 2023-08-18
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- https://www.doi.org/10.7278/S50d-08s4-3d7j
-
- Description:
- This study aims to quantify rare earth element enrichment within coal and coal-adjacent strata in the Uinta Region of Utah and western Colorado. Rare earth elements are a subset of critical minerals used for renewable energy technology in the transition toward carbon-neutral energy. This data contains samples from seven active mines and seven stratigraphically complete cores within the Uinta Region, geochemically evaluated via portable X-ray fluorescence (n=3,113) and inductively coupled plasma-mass spectrometry (n=143) elemental abundance methods. Historical evaluations of geochemical data on Uinta Region coal and coal-adjacent data are sparse, emphasizing the statistical significance of this study’s analyses. These results support the utilization of active mines and coal processing waste piles for the future of domestic rare earth element extraction, offering economic and environmental solutions to pressing global demands.
- Keyword:
- Mesaverde Group, Cretaceous, coal, critical minerals, energy transition, Blackhawk Formation, Uinta Region, and rare earth elements
- Subject:
- stratigraphy, geochemistry, coal resources, sedimentology, and economic geology
- Creator:
- Birgenheier, Lauren, Coe, Haley, Gall, Ryan, Fernandez, Diego, Giebel, Andrew, Vanden Berg, Michael D., and Free, Michael
- Contributor:
- Hamidat, Amin and Starkie, Erin
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States, Uinta Basin, Utah, United States, and Piceance Creek Basin, Colorado, United States
- Language:
- English
- Date Uploaded:
- 12/14/2023
- Date Modified:
- 12/19/2023
- Date Created:
- 2022-05-23 to 2023-03-01
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- www.doi.org/10.7278/S50d-5ny1-1wc1
-
- Description:
- This dataset provides access to data from personnel records of miner employment from 1900–1919. Records from the Utah Copper Company are handwritten and contain the following employee information: name, date employed, address, dependents, age, weight, height, eyes, hair, gender, and nationality. Data has been transcribed and released as a .tsv (Tab Separated Values) file. Technical metadata has been redacted.
- Keyword:
- mining, copper miners, Bingham Copper Mine, and labor records
- Subject:
- mining camps, miners, Bingham Copper Mine (Utah), and copper miners
- Creator:
- Neatrour, Anna and Wittmann, Rachel Jane
- Depositor:
- Kaylee Alexander
- Owner:
- ANNA NEATROUR
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 11/16/2023
- Date Modified:
- 11/05/2024
- Date Created:
- 1900-01-01 to 1919-12-31 (original data) and 2019-01-01 to 2021-12-31 (transcribed)
- License:
- CCO – As the data author, you are choosing to place your data into the public domain.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-7zxh-42hf
-
- 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