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- 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:
- Madison Golden
- 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:
- 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:
- 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
- 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:
- 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 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:
- 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:
- 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 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
- 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 repository includes a file containing polygon data for river channel data for eight study reaches (1, 2A, 2B, 2B short, 3A, 3B, 4A, 4B) across multiple years (1974, 1981, 1995, 2000, 2007 to 2017, and 2018 to 2022), along the Escalante River, Utah, USA. Each channel delineation is uniquely identified by year and reach. Historic imagery was collected from United States Geological Survey and Bureau of Land Management; sourced imagery was accessed through EarthExplorer ( https://earthexplorer.usgs.gov/#close); NAIP imagery from the USDA Geospatial Data Gateway ( https://datagateway.nrcs.usda.gov/GDGHome_DirectDownLoad.aspx); and ESRI imagery from World Imagery Wayback ( https://livingatlas.arcgis.com/wayback/#active=16681&mapCenter=-111.19835%2C37.64870%2C18)
- Keyword:
- Escalante River Watershed, Channel Delineation, GIS, and shapefiles
- Subject:
- Image processing, Water channels, Geographic Information Systems, and Rivers/streams
- Creator:
- McNeally, Phoebe, Scott, Michael L., Williams, Erin J., Friedman, Jonathan M. , and Spence, John R.
- Owner:
- Based Near Label Tesim:
- Escalante, Utah, United States
- Language:
- English
- Date Uploaded:
- 05/27/2025
- Date Modified:
- 05/29/2025
- Date Created:
- 2022 to 2023 (collected) and 1974, 1981, 1995, 2000, 2007 to 2017, 2018 to 2022 (sources)
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset and Map or Cartographic Material
- Identifier:
- https://doi.org/10.7278/S5d-hyk0-w2kf
- Description:
- We deployed a Nanometrics Trillium Compact 20-s, three-component broadband seismometer on the summit of Devils Tower between October 12-13, 2024. The instrument was hauled and carried to the summit by a team of climbers under an approved permit from the National Park Service. The seismometer (labelled station D) was located on the northern portion of the tower summit. It was placed on bare bedrock, with a dab of adhesive putty under each foot to aid coupling, leveled and oriented north, and then covered to prevent wind buffeting. The seismometer was paired with a 24-bit Nanometrics Centaur datalogger recording continuous data at 100 Hz. Two additional identical seismometer setups were also deployed: station C on bedrock near the base of the tower’s south wall, and station A on a large flat boulder embedded in colluvium ~200 m south of the tower. The various instruments had different run times: station D on top of the tower ran the longest for 21 hours from afternoon to late morning, while the overlapping duration of the three sensors was 19 hours (10/12 20:00 to 10/13 15:00 UTC).
- Keyword:
- national parks, modal analysis, and seismology
- Subject:
- seismology and modal response
- Creator:
- Moore, Jeffrey R., Vollinger, Kathryn, and Burjánek, Jan
- Owner:
- Jeff Moore
- Based Near Label Tesim:
- Devils Tower, Wyoming, United States
- Language:
- English
- Date Uploaded:
- 05/14/2025
- Date Modified:
- 05/28/2025
- Date Created:
- 2024-10-12 to 2024-10-13
- 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-ajvn-wqqq
- Description:
- This dataset includes the python scripts and data required to reproduce work outlined in Mayhew et al. 2025 “The Global Importance of Gas-phase Peroxy Radical Accretion Reactions”. The study investigates the effect of a new atmospheric chemical pathway, gas-phase peroxy radical (RO2) accretion reactions, on global secondary organic aerosol (SOA).
- Keyword:
- Peroxy radical, Climate, Air quality, Aerosol, Accretion reactions, and RO2
- Subject:
- Climate and Air quality
- Creator:
- Haskins, Jessica and Mayhew, Alfred
- Owner:
- Madison Golden
- Language:
- English
- Date Uploaded:
- 04/14/2025
- Date Modified:
- 07/10/2025
- Date Created:
- 2025-04-01
- 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-80qm-kyjj
- 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 2023/2024 cool season (October 1–April 30). 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:
- atmospheric sciences and precipitation
- Subject:
- Precipitation
- Creator:
- Wasserstein, Michael L. and Steenburgh, Jim
- Owner:
- Based Near Label Tesim:
- Alta, Utah, United States
- Language:
- English
- Date Uploaded:
- 04/09/2025
- Date Modified:
- 04/25/2025
- Date Created:
- 2023-10-01 to 2024-04-30
- 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-dx7x-d8ay