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- Description:
- Librarian tracked all Read and Publish support activities between March 2025 through August 2025, assigning each activity to a category (Author Support, Publisher Coordination, data Management, Communication and Training, Systems and Internal Workflow) and recording time spent on each activity. The purpose of the study is to better understand the infrastructure, expertise, and library staff time needed to support institutional Read and Publish agreements.
- Keyword:
- open access publishing, transformative agreements, and library workload
- Subject:
- Library administration and Library management
- Creator:
- Jarvis, Christy
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 12/10/2025
- Date Modified:
- 12/12/2025
- Date Created:
- 2025-03-01 to 2025-08-31
- License:
- CC BY – Allows others to use and share your data, even commercially, with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-0zzd-2928
-
- Description:
- This dataset contains measurements of airborne particle concentrations and environmental conditions collected in clinical settings, including dental clinics and hospitals. Data were recorded using a GRIMM 1.109 (Grimm Technologies, Inc., Douglasville, GA, USA) aerosol spectrometer and TSI Q-Trak Indoor Air Quality (IAQ) Monitor (TSI Incorporated, Shoreview, MN, USA) (Appendix E) to assess indoor air quality and bioaerosol exposure. This dataset can be used to evaluate indoor air quality, particle exposure levels, and environmental conditions in healthcare environments.
- Keyword:
- Enviornmental Monitoring and Clinical Setting
- Subject:
- Indoor air pollution and Environmental monitoring
- Creator:
- Kerry, Kelly and Sleeth, Darrah
- Contributor:
- Crimmins, Chase, Ahmed, Tanvir, Kaur, Kamaljeet, Layton, Austin, Myers, Elizabeth, and Warren, Kristi Jo
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 10/21/2025
- Date Modified:
- 11/26/2025
- Date Created:
- 2024-11-11 to 2024-12-13 and 2025-01-14 to 2025-03-06
- License:
- CC BY – Allows others to use and share your data, even commercially, with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-z698-tjcz
-
- Description:
- The Cam FAIS Biomechanics data repository is a collection of hip 3D clinical computed tomography (CT) images (.nii), associated surface files of the proximal femur and ipsilateral hemipelvis (.k), and rigid body transforms (.txt). These datasets were collected for two different groups denoted by their group identifiers (Cam and Norm). For a detailed description of participant selection, data collection, and data processing methods, please refer to https://doi.org/10.1002/jor.24509.
- Keyword:
- Hip, Cam Femoroacetabular Impingement Syndrome, and Kinematics
- Subject:
- Biomechanics
- Creator:
- Anderson, Andrew E., Atkins, Penny R., Fiorentino, Niccolo, Lisonbee, Rich, Zitnay, Jared, and Schuring, Lindsay
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 09/30/2025
- Date Modified:
- 10/08/2025
- Date Created:
- 2014-01-01 to 2016-01-01
- License:
- CC BY – Allows others to use and share your data, even commercially, with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-btv7-ztpw
-
- Description:
- The Femur Statistical Shape Model data repository is a collection of hip 3D clinical computed tomography (CT) or magnetic resonance imaging (MRI) images (.nii.gz), associated surface files of the proximal femur (.vtk), and ShapeWorks project file (.xlsx) with related subject-specific correspondence models (.particles), groomed surface files (.vtk) and cutting planes (.json). These datasets were collected separately and under different conditions, so each of the datasets are separated into different groups denoted by their group identifiers (dod, fai, ihc, nih, and P). For a detailed description of participant selection, data collection, and data processing methods, please refer to https://doi.org/10.1177/23259671241309604. and See README file for data retrieval instructions.
- Keyword:
- Athlete, Cam Femoroacetabular Impingement Syndrome (FAIS), Femur, Statistical Shape Model, and Morphometrics
- Subject:
- Morphology
- Creator:
- Braun, Bergen, Anderson, Andrew E., Mozingo, Joseph, Lisonbee, Rich, Zitnay, Jared, and Schuring, Lindsay
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 09/30/2025
- Date Modified:
- 10/08/2025
- Date Created:
- 01-01-2020 to 01-01-2023
- 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-g56x-w613
-
- Description:
- This dataset provides measured maximum dynamic modulus (E_max*) values for eleven asphalt mixtures using Bending Beam Rheometer (BBR) tests at low temperatures (0°C to –24°C). It includes binder properties, RAP content, and volumetric parameters, with results compared to Hirsch model predictions. The dataset supports more accurate mechanistic-empirical pavement design, particularly for predicting fatigue, rutting, and thermal cracking.
- Keyword:
- Dynamic Modulus, Hirsch Model, Bending Beam Rheometer, Fatigue Cracking, Thermal Cracking, and Mechanistic‑Empirical Pavement Design
- Subject:
- Pavement design and Mathematical models
- Creator:
- Adejube, Jeremiah, Romero Zambrana, Pedro, Fieldkircher, Beatriz Paula, and VanFrank, Kevin M.
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 09/04/2025
- Date Modified:
- 10/14/2025
- Date Created:
- 2024-01-08 to 2025-08-11
- License:
- CC BY – Allows others to use and share your data, even commercially, with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-y2c1-jw38
-
- Description:
- This dataset contains extracellular neurophysiological recordings from long interval neurons in the midbrain of Pseudacris feriarum frogs collected from sympatric and allopatric populations (Alabama, Georgia, South Carolina). Frogs were presented with synthetic acoustic stimuli varying in pulse rate (5–70 pulses/s) to assess pulse rate selectivity. Data include neuronal responses to acoustic stimuli.
- Keyword:
- Reinforcement, Species recognition, Long interval neurons, and Temporal selectivity
- Subject:
- Neurophysiology, Acoustic Communication, Auditory System, Amphibians, and Pulse Rate Selectivity
- Creator:
- Mukhopadhyay, Anwesha, Kamath, Vinayak G. , McDowell, Jamie M., Acord, Auburn S., Alluri, Rishi K., Rose, Gary J., and Lemmon, Emily M.
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 08/21/2025
- Date Modified:
- 01/14/2026
- Date Created:
- 2022-02-11 to 2025-6-11
- 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-6y5c-bdvx
-
- 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:
- 01/16/2026
- 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:
- 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
-
- 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