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- Description:
- This dataset includes the GEOS-Chem model output and python scripts required to reproduce work outlined in 'Potential Air Quality Side-Effects of Emitting H2O2 to Enhance Methane Oxidation as a Climate Solution' by Mayhew and Haskins. The study investigates the predicted change to a selection of air pollutants resulting from the addition of elevated point sources of H2O2 to GEOS-Chem to simulate a proposed methane mitigation technology. The efficiency of this technology is also assessed according to a simplified theoretical framework which is tested against the GEOS-Chem output.
- Keyword:
- Air Quality
- Subject:
- methane, air quality, and oxidation
- Creator:
- Jessica Haskins and Alfred Mayhew
- Owner:
- Madison Golden
- Language:
- English
- Date Uploaded:
- 12/05/2024
- Date Modified:
- 12/10/2024
- Date Created:
- 2024-10-01
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset and Software or Program Code
- Identifier:
- https://doi.org/10.7278/S5d-gjdh-vkvn
-
- Description:
- Skull thickness distributions were collected from infants under 12 months of age (n=266). Data-driven age groups were established based on the variability of skull thickness with age. By providing anatomical standards and guidelines for each age and sex group, this work aims to improve consistency in infant head trauma modeling studies.
- Keyword:
- data-driven methods, child abuse, infant skull, skull thickness, and infant head trauma
- Subject:
- skull, child maltreatment, and infant
- Creator:
- Alsanea,Yousef and Coats, Brittany
- Depositor:
- Kaylee Alexander
- Owner:
- Based Near Label Tesim:
- Utah, Utah, United States
- Language:
- English
- Date Uploaded:
- 12/02/2024
- Date Modified:
- 12/10/2024
- Date Created:
- 2020-01-01 to 2024-11-22
- 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-v0r0-f8qs
-
- Description:
- This is a data set for generating current densities used for the validation of two methods. Similarly, it gives the electric fields for the 80-minute validation of the two methods. Furthermore, the partial transfer function method calculated electric fields are also deposited in this dataset. Similarly, the spectrum of each source and impulse response obtained from the FDTD model are also included. Finally, the electric fields were obtained for 8 hours using the PTF method.
- Keyword:
- FDTD, Geoelectric fields, Partial transfer function, and Long-time span
- Subject:
- geoelectricity and finite difference time domain method
- Creator:
- Sharma Paneru, Prashanna
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 11/08/2024
- Date Modified:
- 11/11/2024
- Date Created:
- 2024-01-01 to 2024-11-08
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-ev5n-d1v5
-
- Description:
- The mechanisms governing tree drought mortality and recovery remain a subject of inquiry and active debate given their role in the terrestrial carbon cycle and their concomitant impact on climate change. Counter-intuitively, many trees do not die during the drought itself. Indeed, observations globally have documented that trees often grow for several years after drought before mortality. A combination of meta-analysis and tree physiological models demonstrate that optimal carbon allocation after drought explains observed patterns of delayed tree mortality and provides a predictive recovery framework. Specifically, post-drought, trees attempt to repair water transport tissue and achieve positive carbon balance through regrowing drought-damaged xylem. Further, the number of years of xylem regrowth required to recover function increases with tree size, explaining why drought mortality increases with size. These results indicate that tree resilience to drought-kill may increase in the future, provided that CO2 fertilization facilitates more rapid xylem regrowth.
- Keyword:
- drought, optimality theory, vegetation model, CO2 fertilization, hydraulic-carbon coupling, and carbon metabolism
- Subject:
- droughts and vegetation
- Creator:
- Trugman, Anna T. , Detto, Matteo , Bartlett, Megan K., Medvigy, David, Anderegg, William R. L., Schwalm, Christopher, Schaffer, Ben, and Pacala, Stephen W.
- Owner:
- BRIAN MCBRIDE
- Language:
- English
- Date Uploaded:
- 07/10/2019
- Date Modified:
- 11/05/2024
- Date Created:
- 2018-01-01 to 2018-05-31
- 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/S5N29V4F
-
- 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:
- 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:
- 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:
- Tropical convective clouds evolve over a wide range of temporal and spatial scales, which makes them difficult to simulate numerically. Here we propose that cloud statistical properties can be derived within a simplified time-independent coordinate system of cloud number n, saturated static energy h⋆, and cloud perimeter λ. Under the constraint that circulations around cloud edge compete with each other for total buoyant energy and air, we show that the product of cloud number and cloud perimeter nλ is invariant with λ and that cloud number follows a negative exponential with respect to cloud-edge deviations of h⋆ with respect to the mean. Overall, the summed perimeter of all clouds scales as the square root of the atmospheric static stability. These theoretical results suggest that the complexity of cloud field structures can be viewed statistically as an emergent property of atmospheric bulk thermodynamics. Comparison with a detailed tropical cloud field simulation shows general agreement to within ≤13%. For the sake of developing hypotheses about cloud temporal evolution that are testable in high resolution simulations, the shapes of tropical cloud perimeter distributions are predicted to be invariant as climate warms, although with a modest increase in total cloud amount.
- Keyword:
- climate, clouds, statistics, and atmospheric sciences
- Subject:
- atmospheric sciences
- Creator:
- Garrett, Tim
- Owner:
- BRIAN MCBRIDE
- Language:
- English
- Date Uploaded:
- 07/10/2019
- 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:
- https://doi.org/10.7278/S5CV4FWW
-
- 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:
- The dataset contains velocity measurements along the fiber optic cable connecting the University of Utah campus to the University of Utah Downtown data center (875 West Temple, Salt Lake City, UT). The data has been collected using the Distributed acoustic sensing (DAS) system that records the vibration signals along 8.4 km long optical fiber every 4.9-m interval with a sampling rate of approximately 1000 Hz. The fiber is mainly installed along the red line of TRAX, which is the light rail system of the Utah Transit Authority. The route intersects the East Bench fault, which is known as an active fault segment of the Wasatch Fault zone. Although no earthquake signals were detected, the velocity data converted to strain rate clearly show the operation of trains between the stations at 450 S Main Street and 900 South 200 West. Analysis of this dataset is expected to provide insights into seismic velocities at shallow depths and structures associated with fault scarps. and See README file for data retrieval instructions.
- Keyword:
- seismology, urban seismology, distributed acoustic sensing, fiber optic cable, and strain rate
- Subject:
- Geophysics, Seismology, Seismology--Observations, and Surface fault ruptures
- Creator:
- Kim, HyeJeong and Lin, Fan-Chi
- Contributor:
- Chambers, Derrick
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 07/01/2024
- Date Modified:
- 11/05/2024
- Date Created:
- 2023-05-24 to 2023-05-26 (period 1), 2023-08-03 to 2023-08-11 (period 3), 2023-12-22 to 2024-01-02 (period 4), and 2023-06-29 to 2023-07-10 (period 2)
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Identifier:
- https://doi.org/10.7278/S5d-kgxx-ev8y