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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:
- 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:
- This dataset includes seismic waveforms for an event used in the study "Effects of 2.5-D ultra-low and ultra-high velocity zones on flip-reverse-stacking (FRS) of the ScS wavefield". In addition, because ultra-high velocity zone (UHVZ) synthetic computations can be challenging when using ray based methods, we include our full waveform solutions for 1-D and 2.5-D UHVZ models as discussed in our manuscript. These can be used to benchmark other methods.
- Keyword:
- ultra-low velocity zones and core-mantle boundary
- Subject:
- Geophysics and Seismology
- Creator:
- Thorne, Michael S.
- Owner:
- Michael Thorne
- Language:
- English
- Date Uploaded:
- 07/06/2024
- Date Modified:
- 07/15/2024
- Date Created:
- 2024-01-01 to 2024-06-01
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-gsmt-m8bc
-
- 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:
- Supplementary material for a research paper submitted to the Journal of Applied Meteorology and Climatology. An animated gif and a readme file.
- Keyword:
- weather, flow, animation, Meteor Craterkatabatic flow, hydraulic jump, potential temperature profile, IOP7, METCRAX, basin, and cold intrusions
- Subject:
- Windstorm dynamics and Meteorological modeling
- Creator:
- Lehner, M., Kalthoff, N, Haiden, T., Whiteman, C. David, Adler, B., and Hoch, S. W.
- Owner:
- BRIAN MCBRIDE
- Based Near Label Tesim:
- Meteor Crater, Arizona, United States
- Language:
- English
- Date Uploaded:
- 07/10/2019
- Date Modified:
- 04/18/2024
- Date Created:
- 2017-10-10
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Image
- Identifier:
- https://doi.org/10.7278/S54J0C86
-
- 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:
- Weather-related research often requires synthesizing vast amounts of data that need archival solutions that are both economical and viable during and past the lifetime of the project. Public cloud computing services (e.g., from Amazon, Microsoft, or Google) or private clouds managed by research institutions are providing object data storage systems appropriate for long-term archives of such large geophysical data sets. , Current Status: Our research group no longer needs to maintain archives of High Resolution Rapid Refresh (HRRR) model output at the University of Utah since complete publicly-accessible archives of HRRR model output are now available from the Google Cloud Platform and Amazon Web Services (AWS) as part of the NOAA Open Data Program. Google and AWS store the HRRR model output in GRIB2 format, a file type that efficiently stores hundreds of two-dimensional variable fields for a single valid time. Despite the highly compressible nature of GRIB2 files, they are often on the order of several hundred MB each, making high-volume input/output applications challenging due to the memory and compute resources needed to parse these files. With support from the Amazon Sustainability Data Initiative, our group is now creating and maintaining HRRR model output in an optimized format, Zarr, in a publicly-accessible S3 bucket- hrrrzarr. HRRR-Zarr contains sets for each model run of analysis and forecast files sectioned into 96 small chunks for every variable. The structure of the HRRR-Zarr files are designed to allow users the flexibility to access only the data they need through selecting subdomains and parameters of interest without the overhead that comes from accessing numerous GRIB2 files. , and History: This effort began in 2015 to illustrate the use of a private cloud object store developed by the Center for High Performance Computing (CHPC) at the University of Utah. We began archiving thousands of two-dimensional gridded fields (each one containing over 1.9 million values over the contiguous United States) from the High-Resolution Rapid Refresh (HRRR) data assimilation and forecast modeling system. The archive has been used for retrospective analyses of meteorological conditions during high-impact weather events, assessing the accuracy of the HRRR forecasts, and providing initial and boundary conditions for research simulations. The archive has been accessible interactively and through automated download procedures for researchers at other institutions that can be tailored by the user to extract individual two-dimensional grids from within the highly compressed files. Over a thousand users have voluntarily registered to use the HRRR archive at the University of Utah. Our archive has grown to over 130 Tbytes of model output but we no longer need to continue that effort since the GRIB2 files are available now via Google and AWS. As mentioned above, we now provide much of the same information in an alternative format that is appropriate particularly for machine-learning applications.
- Keyword:
- data assimilation, Zarr, weather, forecasts, high resolution rapid refresh, and numerical weather prediction
- Subject:
- atmospheric science
- Creator:
- Horel, John and Blaylock, Brian
- Contributor:
- University of Utah Center for High Performance Computing, NOAA Earth Systems Research Laboratory, Amazon Open Data Program, and NOAA Environmental Modeling Center
- Depositor:
- BRIAN MCBRIDE
- Owner:
- JOHN HOREL
- Based Near Label Tesim:
- Alaska, Alaska, United States and United States, , United States
- Language:
- binary and English
- Date Uploaded:
- 07/10/2019
- Date Modified:
- 04/18/2024
- Date Created:
- 2015-04-18 to 2019-07-10
- License:
- CC BY – Allows others to use and share your data, even commercially, with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://dx.doi.org/10.7278/S5JQ0Z5B
-
- 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:
- We conducted a qualitative study using a phenomenological approach in India’s Spiti Valley between August and October 2023. Sixteen individuals, age 18 years and older, participated in one-on-one interviews. The interviews were transcribed from Hindi into English, reviewed for accuracy by a native speaker, and imported into Dedoose software. Data were analyzed using inductive coding. These are the raw data sheets associated with this study. Ethics approval was provided by the University of Utah’s Institutional Review Board (IRB:00167060).
- Keyword:
- Access to healthcare, Primary care, Health policy, Labor & Delivery, Integrative medicine, Traditional medicine, Pediatric care, AYUSH-based medicine, Prenatal care, Acute illness & injuries, Western medicine India, and Qualitative research
- Subject:
- Public Health, Primary Care, Maternal/Child Health, Pediatric Care, and Acute Injury Care
- Creator:
- Aguzzi, Annica, Benson, Lowell Scott, Frost, Caren J., Gren, Lisa H., and Singh, Tejinder
- Contributor:
- Khanna, Ishita and John, Monika
- Owner:
- Based Near Label Tesim:
- Spiti, Himachal Pradesh, India
- Language:
- English
- Date Uploaded:
- 05/28/2024
- Date Modified:
- 05/29/2024
- Date Created:
- 2023-08-01 to 2023-10-31
- 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/S5d-wnrh-fz0r
-
- Description:
- This file contains experimental data from the Ph.D. thesis “Mechanisms Governing Ash Aerosol Formation and Deposition during Solid Fuel Combustion” at the University of Utah. The data include particle sizes, weights, and compositions of ash aerosols and deposits formed in the combustion of a range of fossil and biomass solid fuels under a wide range of conditions. Operation pressure, fuel composition and combustor scale are changed across these tests. These experimental data can provide information and inputs for further studies, such as modeling the ash deposition process, in the future. Research background: Concern about global warming has called for new combustion systems to be used in order to reduce CO2 emissions from coal-fired power generation. Pressurized oxy-coal combustion coupled with carbon capture and storage as well as co-firing biomass with coal are gaining more interest in building new power plants and retrofitting existing plants. The combustion conditions of these systems could be significantly changed and thus affect the ash formation and deposition. The experimental work of this thesis consists of combustion tests at various scales and conditions, namely, on a 100 kWth rated oxy-fuel combustor (OFC), a 300 kWth rated entrained flow pressurized reactor (EFPR), a 1.5 MWth rated horizontal multifuel combustor (L1500) and a 500 MWe full-size utility boiler (Hunter). The solid fuels involved in these tests include pulverized coal, torrefied wood, blend fuels of the coal and wood, and coal with K/Cl/S additives. In each test, iso-kinetically sampled ash aerosols are analyzed in terms of particle size distributions and size-segregated compositions. Ash deposition rates are measured using a surface-temperature-controlled probe which simulates the deposition process on superheater tubes.
- Keyword:
- blended fuels, solid fuel combustion, ash aerosol, pulverized coal, ash deposit, coal-fired power generation, CO2 emissions, particulate matter emission, and torrefied wood
- Subject:
- Air Pollution and Chemical Engineering
- Creator:
- Li, Xiaolong
- Contributor:
- Brigham Young University Department of Chemical Engineering and University of Utah Industrial Combustion and Gasification Research Facility
- Owner:
- Based Near Label Tesim:
- University of Utah, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/23/2022
- Date Modified:
- 12/05/2023
- Date Created:
- 2017-04-01 to 2021-10-30
- License:
- CC BY – Allows others to use and share your data, even commercially, with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-k0kv-f0w2