Search Constraints
« Previous |
1 - 10 of 124
|
Next »
Number of results to display per page
Search Results
-
- Description:
- This dataset evaluates geologic trends in and controls on rare earth element (REE)-enrichment of coal in eastern Utah. 1945 bituminous coal samples from 68 mine, core, and outcrop localities from the Blackhawk Formation (n = 378) and Ferron Sandstone (n = 1567) in eastern Utah were geochemically evaluated using portable X-ray fluorescence (n = 1945) and inductively coupled plasma-mass spectrometry (n = 100) to quantify REE content. Using coal as a secondary REE source could bolster global REE production, leveraging existing coal infrastructure to alleviate CM supply chain bottlenecks and couple traditional coal geology with the innovative resource needs of the future.
- Keyword:
- Uinta Region, rare earth elements, and coal
- Subject:
- coal resources, economic geology, sedimentology, and stratigraphy
- Creator:
- Fausett, Peyton Douglas, Birgenheier, Lauren P. , Coe, Haley H. , Morris, Emily, Fernandez, Diego, and Wilcock, Laura
- Owner:
- Based Near Label Tesim:
- Utah, Utah, United States
- Language:
- English
- Date Uploaded:
- 08/20/2025
- Date Modified:
- 08/22/2025
- Date Created:
- 2022-05-26 to 2024-07-16
- 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-049t-t7jh
-
- Description:
- This dataset contains the behavioral and neurophysiological data supporting the manuscript “Evidence that interval-counting neurons play a critical role in call recognition by Cope’s gray treefrogs.” Together, these datasets provide a direct link between behavioral selectivity for species-specific advertisement calls and the response properties of specialized temporal processing neurons., Behavioral dataset(20240815_MixedIntervalPhonotaxis_Kamath.xlsx): Binary phonotaxis responses of female Hyla chrysoscelis collected during the 2024 breeding season. Each row represents an individual frog, and columns report responses (1 = positive phonotaxis, 0 = no response) across standard and temporally disrupted advertisement call conditions (1X, MI=2X, MI=3X, AI=2X, AI=3X)., and Neurophysiology dataset (20250815_ExtracellularICN_LIN_Kamath.xlsx): In vivo extracellular single-unit recordings from three classes of auditory midbrain neurons—interval-counting neurons (ICNs), long-interval neurons (LINs), and temporally non-selective neurons—collected between July 2024 and August 2025. Each sheet reports neuron metadata (recording date, ID, frequency sensitivity, pulse rate, pulse number threshold for ICNs) and normalized spike responses to standard and temporally disrupted stimuli (MI and AI paradigms).
- Keyword:
- Neural basis of numerosity, Neural correlates of behavior, Neurophysiology, Temporal processing, Inferior colliculus, and Acoustic communication
- Subject:
- Acoustic communication, Neuroethology, Neurophysiology, and Animal behavior
- Creator:
- Kamath, Vinayak G.
- Contributor:
- Bee, Mark A., Alluri, Rishi K., Rose, Gary J., Acord, A. Sage, and Mukhopadhyay, Anwesha
- Owner:
- Based Near Label Tesim:
- Ramsey, Minnesota, United States, Saint Paul, Minnesota, United States, and Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 08/19/2025
- Date Modified:
- 08/21/2025
- Date Created:
- 2024-05-01 to 2025-08-15
- 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-7mt5-z18h
-
- 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:
- Pedersen, Kari, Clark, Rebekah, Frost, Caren J., Benson, L. Scott, Biggs, Jeremy J., and Gren, Lisa H.
- Contributor:
- Ariana Callahan
- Owner:
- Language:
- English
- Date Uploaded:
- 07/27/2025
- Date Modified:
- 07/29/2025
- 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 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
-
- 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_4_9mps” refers to gaps with D = 400 m, the configuration labeled “Gap_8_9mps” refers to gaps with D = 800 m, and the configuration labeled “Gap_12_9mps” refers to gaps with D = 1200 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-3ve7-pm2e