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-
- 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 homogeneous canopy cases differ in their vertical Leaf Area Density (LAD) distributions. Specifically, the case "Hom_Amazon_9mps" represents the canonical Amazon forest, characterized by a canopy height of hc = 39 m and a total Leaf Area Index (LAI) of 7.05. The canopy height is fixed across all cases. The remaining homogeneous configurations, i.e. "Hom_eq_gaps_9mps" and "Hom_eq_patches_9mps" feature a reduced LAD profile, with a corresponding LAI value of 5.36. 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:
- 06/05/2025
- 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-r15r-bdqq
-
- 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
-
- 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
-
- Description:
- The simulation 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. This simulation is forced with streamwise normalized pressure gradient of (1/ρ) (dp/dx) = 1 , where the friction velocity u* = 0.58 m/s and the boundary layer height zi = 1000 m are used as normalizing variables (i.e., dp/dx ~ (u*)^2/zi), and ρ refers to the hydrostatic density. Neutrally stratified conditions are assumed. The homogeneous canopy is characterized by a Leaf Area Index (LAI) of 5.36. This simulation shares the same canopy geometry as the case Hom_eq_gaps_9mps in Deposit 1; however, it differs in that it is driven by a prescribed pressure gradient rather than by geostrophic forcing. The simulations was 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 = 0.02 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-bg3w-c2a3
-
- 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 case "Hom_lim_9mps" features an almost non-existent vegetation density, with corresponding LAI values of 0.14, while the case “Empty_9mps” refers to a bare soil surface with no vegetation. 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-srwd-k33d
-
- Description:
- This dataset contains precipitation measurements from an OTT PARticle SIze and VELocity (PARSIVEL) disdrometer which was installed at the Atwater snow study plot in the town of Alta, Utah, USA (40.591269°N; 111.637789°W; 2682 m MSL) during the cool seasons ending 2023 through 2024.
- Keyword:
- Orographic precipitation, Snow, Disdrometer, and PARSIVEL
- Subject:
- Atmospheric Science, Precipitation, and Snow
- Creator:
- Evans, Ashley, Wasserstein, Michael L., Kingsmill, David E., Steenburgh, Jim, and Veals, Peter G.
- Owner:
- Based Near Label Tesim:
- Alta, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/05/2025
- Date Modified:
- 06/10/2025
- Date Created:
- 2022-11-15 to 2024-05-15
- 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-wtpn-az0j
-
- Description:
- This dataset contains measurements from an OTT PARticle SIze and VELocity (PARSIVEL) disdrometer which was installed on the roof of Highland High School in Salt Lake City, Utah, USA (40.724486°N; 111.843723°W; 1372 m MSL) during the cool seasons (November 15 – April 30) ending 2023 through 2024.
- Keyword:
- Orographic precipitation, Snow, Disdrometer, and PARSIVEL
- Subject:
- Atmospheric Science, Precipitation, and Snow
- Creator:
- Kingsmill, David E., Veals, Peter G., Wasserstein, Michael L., Evans, Ashley, and Steenburgh, Jim
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/05/2025
- Date Modified:
- 06/10/2025
- Date Created:
- 2022-11-26 to 2024-05-10
- 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-8vtz-5fsn
-
- 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:
- Madison Golden
- 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:
- This is data from a Micro Rain Radar (MRR) that was deployed at Alta, UT from 2022–2024. The MRR is a vertically pointing Doppler radar that operates at a frequency of 24 GHz (K-band). The radar collects time series of equivalent reflectivity, Doppler velocity, and Doppler velocity spectrum width, all in 1-dimension (the vertical).
- Keyword:
- MRR, Profiling Radar, Snow, and Precipitation
- Subject:
- Radar, Precipitation, Snow, and Atmospheric Science
- Creator:
- Steenburgh, Jim, Wasserstein, Michael L., and Veals, Peter G.
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Alta, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/02/2025
- Date Modified:
- 06/06/2025
- Date Created:
- 2022-10-28 to 2024-05-15
- 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-wern-v6kz
-
- Description:
- This is data from a Micro Rain Radar (MRR) that was deployed at Highland High School in Salt Lake City, UT from 2022–2024. The MRR is a vertically pointing Doppler radar that operates at a frequency of 24 GHz (K-band). The radar collects time series of equivalent reflectivity, Doppler velocity, and Doppler velocity spectrum width, all in 1-dimension (the vertical).
- Keyword:
- MRR, Profiling Radar, Snow, and Precipitation
- Subject:
- Radar, Precipitation, Snow, and Atmospheric Science
- Creator:
- Veals, Peter G., Wasserstein, Michael L., and Steenburgh, Jim
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/02/2025
- Date Modified:
- 06/06/2025
- Date Created:
- 2022-11-23 to 2024-05-10
- 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-n1jc-2d68
-
- 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 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:
- 06/02/2025
- 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/S50d-hmxz-4bf1
-
- 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:
- 06/02/2025
- 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/S50d-twbh-955q
-
- 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:
- 06/02/2025
- 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/S50d-6wz0-jk8j
-
- Description:
- This data set contains 12-hour manual new snow and liquid precipitation equivalent (LPE) observations collected at the Alta-Collins (CLN) snow-study plot during the 2000–2023 cool seasons (October 1–April 30 with the year defined by the ending calendar year). CLN is located mid-mountain at Alta Ski Area in the Wasatch Range of northern Utah (approximately 111.63889W, 40.57607N) at an elevation of 2945 m.
- Keyword:
- precipitation and atmospheric sciences
- Subject:
- atmospheric moisture
- Creator:
- Wasserstein, Michael L. and Steenburgh, Jim
- Owner:
- BRANDON PATTERSON
- Based Near Label Tesim:
- Alta, Utah, United States
- Language:
- English
- Date Uploaded:
- 09/14/2023
- Date Modified:
- 06/02/2025
- Date Created:
- 1999-01-01 to 2023-12-31
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Audio
- Identifier:
- https://doi.org/10.7278/S50d-nsy5-8bje
-
- Description:
- This study aims to quantify rare earth element enrichment within coal and coal-adjacent strata in the Uinta Region of Utah and western Colorado. Rare earth elements are a subset of critical minerals used for renewable energy technology in the transition toward carbon-neutral energy. This data contains samples from seven active mines and seven stratigraphically complete cores within the Uinta Region, geochemically evaluated via portable X-ray fluorescence (n=3,113) and inductively coupled plasma-mass spectrometry (n=143) elemental abundance methods. Historical evaluations of geochemical data on Uinta Region coal and coal-adjacent data are sparse, emphasizing the statistical significance of this study’s analyses. These results support the utilization of active mines and coal processing waste piles for the future of domestic rare earth element extraction, offering economic and environmental solutions to pressing global demands.
- Keyword:
- Mesaverde Group, Cretaceous, coal, critical minerals, energy transition, Blackhawk Formation, Uinta Region, and rare earth elements
- Subject:
- stratigraphy, geochemistry, coal resources, sedimentology, and economic geology
- Creator:
- Birgenheier, Lauren, Coe, Haley, Gall, Ryan, Fernandez, Diego, Giebel, Andrew, Vanden Berg, Michael D., and Free, Michael
- Contributor:
- Hamidat, Amin and Starkie, Erin
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States, Uinta Basin, Utah, United States, and Piceance Creek Basin, Colorado, United States
- Language:
- English
- Date Uploaded:
- 12/14/2023
- Date Modified:
- 06/02/2025
- Date Created:
- 2022-05-23 to 2023-03-01
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-5ny1-1wc1