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- 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 is a retrospective study of de-identified electronic-medical record data of transgender and gender-diverse (TGD; i.e. those whose gender identity does not align with their sex assigned at birth) adults 18 years and older who receive gender-affirming care within the University of Utah healthcare system. Gender-affirming care includes gender-affirming hormone therapy (i.e. estrogen- or testosterone-based medications) and gender-affirming surgeries. The goal of creating this dataset is to contribute to the growing literature needed about the TGD population in order to facilitate public health efforts to address health disparities as well as answer clinically impactful questions.
- Keyword:
- sexual and gender minority, Transgender, Gender-affirming care, and Health Equity
- Subject:
- Gender reassignment surgery , Gender Transition, Transgender and gender nonconformity, Gender-nonconforming people , Transgender people, and Gender Identity
- Creator:
- Talboys, Sharon, Ho, Tiffany , and Mark, Bayarmaa
- Owner:
- Based Near Label Tesim:
- University of Utah, Utah, United States
- Date Uploaded:
- 01/19/2024
- Date Modified:
- 05/31/2024
- Date Created:
- 2013-01-01 to 2023-04-30
- 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-h68c-s203
-
- 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
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- 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:
- This dataset encompasses the results of a series of controlled experiments conducted at the University of Utah's Industrial Hygiene Research Laboratory between November 2021 and November 2022. It includes data from tests assessing aerosol containment and surface contamination using the U-COVER device. The dataset details the effectiveness of different device designs (D1A, D1B, D2) in containing salt aerosols under various conditions, including with and without exhaust ventilation. Measurements were conducted using GRIMM Model 1.109 Portable Aerosol Spectrometers and analyzed for particle size distributions and concentrations. The findings provide insights into the protective capabilities of the U-COVER device in medical settings, with implications for healthcare worker safety."
- Keyword:
- Aerosol Containment , U-COVER Device, Industrial Hygiene, Particle Measurement, Ventilation Effects, Healthcare Worker Safety, Air Quality Monitoring and Assessment, Laboratory Safety and Testing Methods, and Infection Control in Healthcare
- Subject:
- Environmental Monitoring, Infection Control , Respiratory Protective Devices, Aerosols, Occupational Health , and Environmental Health
- Creator:
- Fang, Runcheng, Andrus, Niles, Dominguez, Thomas, Sleeth, Darrah K., and Jones, Rachael M.
- Owner:
- Based Near Label Tesim:
- Utah State University, Utah, United States
- Date Uploaded:
- 11/09/2023
- Date Modified:
- 12/04/2023
- Date Created:
- 2021-11-01 to 2022-11-30
- 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-ty62-keqa