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- Description:
- We analyze a new set of 275 n-body calculations designed to place limits on the masses of the small circumbinary satellites in the Pluto-Charon system. Together with calculations reported in previous papers, we repeat that a robust upper limit on the total mass of the four satellites is ~ 9.5 x 10^19 g. For satellite volumes derived from \nh, this mass limit implies a robust upper limit on the bulk densities of Nix and Hydra, <=1.7 g/cm^3, that are comparable to the bulk density of Charon. Additional calculations demonstrate that satellite systems with mass <= 8.25 x 10^19 g are robustly stable over the current age of the Sun. The bulk densities of Nix and Hydra in these lower mass systems are clearly smaller than the bulk density of Charon. These new n-body\results enable accurate measurements of eccentricity and inclination for Nix, Kerberos, and Hydra that agree well with orbital elements derived from numerical calculations with new HST and New Horizons state vectors. With these new state vectors, Styx has a 37 % larger eccentricity and an 85% smaller inclination, which makes it more prone to gravitational perturbations from Nix.
- Keyword:
- dynamical evolution, Kerberos, Hydra, Nix, Charon, Pluto, planets, satellites, and Styx
- Subject:
- Astrophysics
- Creator:
- Kenyon, Scott J. and Bromley, Benjamin C.
- Owner:
- BENJAMIN BROMLEY
- Based Near Label Tesim:
- Greenbelt, Maryland, United States
- Language:
- English
- Date Uploaded:
- 01/29/2025
- Date Modified:
- 01/29/2025
- Date Created:
- 2022-03-26 to 2025-01-17
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset

- Description:
- This dataset containts post-processed data from 3 radiative-convective equilibrium simulations run by the System for Atmospheric Modeling (SAM). The scripts to produce the data and recreate the figures/tables of Garrett et al. 20XX are also included. SAM's configuration files and restart files are provided for those interested in recreating the full dataset of the simulations or creating new test cases.
- Keyword:
- Radiative-Convective Equilibrium, System for Atmospheric Modeling , and Clouds
- Subject:
- Atmospheric Science
- Creator:
- Krueger, Steve and Bois, Corey
- Contributor:
- Garrett, Timothy
- Owner:
- Language:
- English and Python
- Date Uploaded:
- 12/06/2024
- Date Modified:
- 12/18/2024
- Date Created:
- 2023-03-15
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset and Software or Program Code
- Identifier:
- https://doi.org/10.7278/S5d-hpjr-ckh0

- 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