Search Constraints
Filtering by:
Date created tesim
2015 to 2023
Remove constraint Date created tesim: 2015 to 2023
1 - 5 of 5
Number of results to display per page
Search Results
-
- 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:
- National aggregation of patient care reports associated with 9-1-1 activations for emergency care. Go to www.nemesis.org for details.
- Keyword:
- national data, pre-hospital, paramedic, Emergency Medical Services, 9-1-1, Emergency Care, and 911
- Subject:
- Emergency Medical Care
- Creator:
- Office of EMS, U.S. Department of Transportation, and National Highway Safety Administration
- Contributor:
- NEMSIS Technical Assistance Center
- Owner:
- BRIAN MCBRIDE
- Based Near Label Tesim:
- United States, , United States
- Language:
- English
- Date Uploaded:
- 07/10/2019
- Date Modified:
- 04/16/2024
- Date Created:
- 2015-01-01 to 2015-12-31
- License:
- Other – See README file for more information.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5SX6BC3
-
- Description:
- Each saguaro was temporarily instrumented with a Raspberry Shake 3D seismometer. The Raspberry Shake 3D is a low-cost and light-weight three-component seismometer that has been extensively benchmarked against other instruments (e.g., Arosio et al., 2023). It records three mutually-orthogonal components of motion (two horizontal and one vertical) using 4.5 Hz geophones with range electronically extended down to at least 0.5 Hz, at a sampling rate of 100 Hz, and internal data storage. I devised a custom mounting bracket for this study consisting of a 3D-printed platform that could be strapped to a saguaro stem and leveled about 1.5 m above ground level. The mounting height was arbitrary, being as high as feasible without requiring a ladder, and the method ensured that no damage was caused to the cactus. A small portable battery provided power.
- Keyword:
- photogrammetry, Saguaro cactus, Ambient vibration, Modal analysis, Numerical modeling, and Biomechanical characterization
- Subject:
- geophysics, seismology, ecology, and remote sensing
- Creator:
- Moore, Jeffrey R.
- Owner:
- Jeff Moore
- Based Near Label Tesim:
- Arizona, Arizona, United States
- Language:
- English
- Date Uploaded:
- 04/07/2025
- Date Modified:
- 04/25/2025
- Date Created:
- 2025-02-17 to 2025-03-28
- 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/S5d-kx51-x9dg
-
- 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 the code and data files to create the results published in the paper: Impact on Cloud Properties of Reduced-Sulphur Shipping Fuel in the Eastern North Atlantic, https://doi.org/10.5194/egusphere-2025-2075 The global reduction in shipping fuel sulphur that culminated in 2020 with an ~80% reduction has enabled an inadvertent experiment on the role of aerosol-cloud interaction (ACI) in the climate system. We compare observations collected at the Atmospheric Radiation Measurement program’s (ARM) Eastern North Atlantic site (ARM-ENA, 39.1 N, 28.0 W) during two June to September periods: 2016-2018 (pre-2020) and 2021-2023 (post-2020). We find a significant (~15%) decrease in cloud condensation nuclei concentrations post-2020, which resulted in a decrease in cloud droplet number (Nd) and an increase in effective radius (re) of marine boundary layer clouds. However, cloud liquid water path (LWP) increased post- 2020. The increase in LWP offset the increase in re, resulting in insignificant changes to the optical depth distribution. MODIS and CERES data in the vicinity of ENA during these periods produce similar results also with negligible change in the albedo and optical depth distributions. Regional cloud occurrence declined in line with changes in the large-scale meteorology. Our results point to a complicated interplay among the factors that modulate cloud feedback in the Eastern North Atlantic. This is the IDL code and data files to create the figures for the paper about the above research.
- Keyword:
- cloud properties, Eastern North Atlantic
- Subject:
- clouds and cloud physics
- Creator:
- Benson, Sally and Mace, Gerald G.
- Owner:
- Sally Benson
- Date Uploaded:
- 10/10/2025
- Date Modified:
- 11/05/2025
- Date Created:
- 2016-06-01 to 2023-09-30
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Identifier:
- https://doi.org/10.7278/S5d-ppzy-3nkj