Search Constraints
Number of results to display per page
Search Results
-
- Description:
- This data was collected to assess the relationship between physical activity and meeting recovery, satisfaction, and effectiveness. It is cross-sectional survey data that focused on demographics, frequency and intensity of physical activity history, and measures that created meeting outcomes variables.
- Keyword:
- Physical activity, mental health, meeting outcomes, effectiveness, satisfaction, recovery, job-demands resources model
- Subject:
- Anxiety, Job burnout, Depression, Mental, Meetings, and Exercise
- Creator:
- Thiese, Matthew, Cox, Chapman, Joy, Tori, and Allen, Joseph A.
- Owner:
- Date Uploaded:
- 08/07/2025
- Date Modified:
- 08/07/2025
- Date Created:
- 2023-05-15 to 2023-06-15
- License:
- CCO – As the data author, you are choosing to place your data into the public domain.
-
- Description:
- This mixed-methods study assessed the experience of non-faculty university staff during and immediately after the pandemic. Qualitative interviews and focus groups explored the experience at various university levels - HR leadership, non-HR managers, and women staff, and questions were crafted from what researchers learned from quantitative survey results.
- Keyword:
- universities, women, university staff, COVID-19 pandemic, communication, hybrid work, flexible work, human resources, work-life balance, gender, and remote work
- Subject:
- COVID-19 Pandemic, 2020-2023, Communication, Universities and colleges - Professional staff, Gender identity in the workplace, Work-life balance, College department heads, Flexible work arrangements, Women, Personnel management, and Universities and colleges
- Creator:
- Benson, L. Scott , Gren, Lisa H., Biggs, Jeremy J., Frost, Caren J., Clark, Rebekah, and Pedersen, Kari
- Contributor:
- Ariana Callahan
- Owner:
- Based Near Label Tesim:
- Utah, Utah, United States
- Language:
- English
- Date Uploaded:
- 07/27/2025
- Date Modified:
- 09/25/2025
- Date Created:
- 2022-04 to 2023-08
- 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-njn9-ge3a
-
- Description:
- The Airborne Xanthomonas Experiments – Madras 2023 (AXE-M2023) dataset contains field-scale measurements of particle dispersion, deposition, and atmospheric turbulence during combine harvesting in Madras, Oregon, conducted over nine replicate trials in September 2023. Fluorescent microspheres of known sizes (33 µm and 165 µm) were released into the atmosphere from a combine harvester, and their downwind transport and deposition were measured using rotorod impaction traps, adhesive-coated deposition plates, and Cascade Settling Traps (CSTs). Simultaneously, two meteorological towers recorded turbulence and micrometeorological conditions using sonic anemometers and particle counters. The dataset includes spatial coordinate grids, deposition counts, derived mass concentrations, meteorological variables, and spliced images of deposition plates, all formatted in structured .CSV, .MAT, and .ZIP files. These data support analysis and modeling of near-surface transport dynamics, turbulent dispersion, and bioaerosol deposition in agricultural environments.
- Keyword:
- Field measurements, Bioaerosol transport, Particle deposition, Agricultural aerosols, and Turbulent dispersion
- Subject:
- Aerosols
- Creator:
- Huckins, Matthew K., Pardyjak, Eric R., Baldino, Katelyn D., Stoll, Rob, Dung, Jeremiah K.S., and Mahaffee, Walter F.
- Owner:
- maddiego1@yahoo.com
- Date Uploaded:
- 07/07/2025
- Date Modified:
- 07/08/2025
- Date Created:
- 2023-09-13 to 2023-09-15
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Identifier:
- https://doi.org/10.7278/S5d-aa6z-4m2k
-
- Description:
- Three distinct datasets derived from https://ccmc.gsfc.nasa.gov/models/IRI~2016/. NeVLFpropinclin5.dat - Electron density profile collected from https://ccmc.gsfc.nasa.gov/models/IRI~2016/ for Jan 2020 at a resolution of 1km, then interpolated smoothly to a resolution of 0.1km with no abrupt jumps. NiVLFpropinclin5.dat - O+ ion density profile taken from https://ccmc.gsfc.nasa.gov/models/IRI~2016/ for Jan 2020 at a resolution of 1km, then interpolated smoothly to a resolution of 0.1km with no abrupt jumps. NiHplusVLFpropinclin5HighlatAmerica.dat - H+ ion density profile collected from https://ccmc.gsfc.nasa.gov/models/IRI~2016/ for Jan 2020 at a resolution of 1km, then interpolated smoothly to a resolution of 0.1km with no abrupt jumps.
- Keyword:
- Electron density, FDTD, IRI, Ion density, and ionosphere
- Subject:
- ionosphere, Ionospheric electron density, and electrons
- Creator:
- Pedgaonkar, Apoorva
- Owner:
- maddiego1@yahoo.com
- Date Uploaded:
- 06/09/2025
- Date Modified:
- 06/09/2025
- Date Created:
- 2024-07-12 to 2025-03-05
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Identifier:
- https://doi.org/10.7278/S5d-khd5-xqhg
-
- Description:
- The simulations related to the present dataset investigate the effects of heterogeneity in tall vegetated canopies, designed to emulate structural and aerodynamic characteristics of the Amazon rainforest. A total of 15 canopy configurations are considered, all assuming neutral stratification and a boundary layer height of zi = 1000 m. Fourteen configurations are driven by a geostrophic wind speed of 9 m/s, with a friction velocity of u* = 0.313 m/s. In contrast, the configuration Hom_eq_gaps_pfx_9mps is forced by a streamwise pressure gradient normalized as (1/ρ)(∂p/∂x) = 1, where ρ denotes hydrostatic density. This normalization employs a reference friction velocity of u* = 0.58 m/s and the same boundary layer height zi = 1000 m, such that ∂p/∂x ∼ (u*)^2/zi. and See README file for data retrieval instructions.
- Keyword:
- Large Eddy Simulations, TKE budget, traditional turbulence statistics, and Vegetated canopies
- Subject:
- Turbulence, Computational fluid dynamics , and Atmospheric science
- Creator:
- Salmaso, Giulia and Calaf, Marc
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/09/2025
- Date Modified:
- 06/18/2025
- Date Created:
- 2022-01-01 to 2025-05-29
- 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-n96s-3gkr
-
- Creator:
- Pedgaonkar, Apoorva
- Owner:
- Date Uploaded:
- 06/06/2025
- Date Modified:
- 06/06/2025
- Rights Statement:
- In Copyright
- Resource Type:
- Dataset
-
- Creator:
- Pedgaonkar, Apoorva
- Owner:
- Date Uploaded:
- 06/06/2025
- Date Modified:
- 06/06/2025
- Rights Statement:
- In Copyright
- Resource Type:
- Dataset
-
- Creator:
- Pedgaonkar, Apoorva
- Owner:
- Date Uploaded:
- 06/06/2025
- Date Modified:
- 06/06/2025
- Rights Statement:
- In Copyright
- Resource Type:
- Dataset
-
- Description:
- The simulations associated with this dataset form part of a broader investigation into the effects of heterogeneity in tall vegetated canopies, designed to emulate structural and aerodynamic characteristics of the Amazon rainforest. All cases are forced by a geostrophic wind of 9 m s⁻¹ under neutrally stratified conditions. The vegetated canopy configurations feature canopies with circular patches of vegetation surrounded by bare soil that are randomly distributed over the domain. The numerical value in each patch case name corresponds to the diameter of the patches, D, expressed in meters after multiplication by a factor of 100. Thus: the configurations labeled “Patch_4_9mps” and “Patch_4_h_9mps” refer to gaps with D = 400 m, the configuration labeled “Patch_8_9mps” refers to gaps with D = 800 m, and the configuration labeled “Patch_12_9mps” refers to gaps with D = 1200 m. The suffix “_h” in the simulation label “Patch_4_h_9mps” stands for “half,” indicating that the number of vegetation patches in this configuration is half that of the corresponding “Patch_4_9mps” simulation. Across all configurations, the canopy height is fixed at hc = 39 m, and the vegetation is characterized by a vertically distributed leaf area density, with a Leaf Area Index (LAI) of 7.05. Simulations were conducted using a Large-Eddy Simulation (LES) domain of size (Lx, Ly, Lz) = (2π, 2π, 1) km, where x, y, and z denote the streamwise, spanwise, and vertical directions. The computational grid consists of (Nx, Ny, Nz) = (256,256,256) points, yielding a spatial resolution of (Δx, Δy, Δz) = (24.5, 24.5, 3.9) m. An aerodynamic roughness length of z0 = 0.01 m is imposed at the surface. Time integration employs a fixed time step of Δt = 0.05 s. Simulations are spun up for 25 h, and data are sampled over the final 5 h of integration. To facilitate data access, a MATLAB script (main_load_snapshots.m) and a supporting function (load_snaps.m) are provided. These scripts load the binary files and organize them into 4D arrays for subsequent analysis. and See README file for data retrieval instructions.
- Keyword:
- Vegetated canopies, Large Eddy Simulations, Instantaneous velocity fields, Quadrant Analysis, and Roughness Sublayer Flow Statistics
- Subject:
- Turbulence, Atmospheric science, and Computational fluid dynamics
- Creator:
- Salmaso, Giulia and Calaf, Marc
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- binary
- Date Uploaded:
- 06/06/2025
- Date Modified:
- 06/18/2025
- Date Created:
- 2022-01-01 to 2025-05-29
- 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-kd2t-86ww
-
- Description:
- The simulations associated with this dataset form part of a broader investigation into the effects of heterogeneity in tall vegetated canopies, designed to emulate structural and aerodynamic characteristics of the Amazon rainforest. All cases are forced by a geostrophic wind of 9 m s⁻¹ under neutrally stratified conditions. The vegetated canopy configurations feature a vegetation cover with circular gaps composed of bare soil that are randomly distributed over the domain. The numerical value in each gap case name corresponds to the diameter of the gaps, D, expressed in meters after multiplication by a factor of 100. Thus: the configuration labeled “Gap_12_8_9mps” refers to gaps with D = 1200 m and D = 800 m, and the configuration labeled “Gap_12_8_4_9mps” refers to gaps with D = 1200 m, D = 800 m, and D = 400 m. Across all configurations, the canopy height is fixed at hc = 39 m, and the vegetation is characterized by a vertically distributed leaf area density, with a Leaf Area Index (LAI) of 7.05. Simulations were conducted using a Large-Eddy Simulation (LES) domain of size (Lx, Ly, Lz) = (2π, 2π, 1) km, where x, y, and z denote the streamwise, spanwise, and vertical directions. The computational grid consists of (Nx, Ny, Nz) = (256,256,256) points, yielding a spatial resolution of (Δx, Δy, Δz) = (24.5, 24.5, 3.9) m. An aerodynamic roughness length of z0 = 0.01 m is imposed at the surface. Time integration employs a fixed time step of Δt = 0.05 s. Simulations are spun up for 25 h, and data are sampled over the final 5 h of integration. To facilitate data access, a MATLAB script (main_load_snapshots.m) and a supporting function (load_snaps.m) are provided. These scripts load the binary files and organize them into 4D arrays for subsequent analysis. and See README file for data retrieval instructions.
- Keyword:
- Vegetated canopies, Large Eddy Simulations, Instantaneous velocity fields, Quadrant Analysis, and Roughness Sublayer Flow Statistics
- Subject:
- Turbulence, Atmospheric science, and Computational fluid dynamics
- Creator:
- Salmaso, Giulia and Calaf, Marc
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- binary
- Date Uploaded:
- 06/06/2025
- Date Modified:
- 06/10/2025
- Date Created:
- 2022-01-01 to 2025-05-29
- 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-44de-p0td