Search Data.gov
Found 2786 dataset(s) matching "Digital level".
-
The MMS magnetic field power spectral density (BPSD) is computed onboard by the Digital Signal Processor (DSP). The fast Fourier transform (FFT) calculation is performed on a digitized version of...
-
The MMS magnetic field power spectral density (BPSD) is computed onboard by the Digital Signal Processor (DSP). The fast Fourier transform (FFT) calculation is performed on a digitized version of...
-
The MMS electric field power spectral density (EPSD) is computed onboard by the Digital Signal Processor (DSP). The fast Fourier transform (FFT) calculation is performed on a digitized version of...
-
The MMS magnetic field power spectral density (BPSD) is computed onboard by the Digital Signal Processor (DSP). The fast Fourier transform (FFT) calculation is performed on a digitized version of...
-
The MMS electric field power spectral density (EPSD) is computed onboard by the Digital Signal Processor (DSP). The fast Fourier transform (FFT) calculation is performed on a digitized version of...
-
The MMS electric field power spectral density (EPSD) is computed onboard by the Digital Signal Processor (DSP). The fast Fourier transform (FFT) calculation is performed on a digitized version of...
-
The 2009 Digital Surface Model (DSM) dataset consists of single band rasters at 1-meter pixel resolution that were generated to orthorectify a four band ortho imagery acquisition, and to support...
-
This data set includes 956 polygons labeled with a sensitivity-unit code that represents the sensitivity of ground water to contamination in Lawrence County, SD. This data set is a result of a...
-
The data include atmospheric-loading frequency response functions (table 1) and filtered detrended and reconstructed (trends restored) groundwater levels (tables 2–4) computed for selected, parsed...
-
This child data release provides the information needed to download from the USGS EarthExplorer portal digital orthophotos acquired along the Tanana and Nenana Rivers near Nenana, Alaska, on...
-
In many coastal regions throughout the world, there is increasing pressure to harden shorelines to protect human infrastructures against sea level rise, storm surge, and erosion. These data...
-
The Sparta aquifer is used in 15 parishes in north-central Louisiana, primarily for public supply and industrial purposes. Of those parishes, eight (Bienville, Claiborne, Jackson, Lincoln,...
-
Digital flood-inundation maps for a 131.8-mile reach of the Current River and a 44.6-mile reach of the Jacks Fork River, in southeast Missouri, were created by the U.S. Geological Survey (USGS) in...
-
The U.S. Geological Survey (USGS), in cooperation with the Utah Department of Environmental Quality has developed a geographic database of selected ground-water-level altitude contours and...
-
Future sea-level rise poses a risk to mangrove forests. To better understand potential vulnerability, we developed a new numerical model of soil elevation for mangrove forests. We used the model...
-
Accurate input data are important for making site-specific projections of tidal wetlands into the future. We developed bias-corrected digital elevation models (DEM) using the LEAN approach (LiDAR...
-
WARMER-2 model inputs and projections for three tidal wetland sites across San Francisco Bay estuary
Understanding the rates and patterns of tidal wetland elevation changes relative to sea-level is essential for understanding the extent of potential wetland loss over the coming years. Using an...
-
<div style='text-align:Left;'><p><span>These data include the individual responses for the City of Tempe Annual Community Survey conducted by ETC Institute. This dataset has two layers and...
-
<div style='text-align:Left;'><p><span>These data include the individual responses for the City of Tempe Annual Community Survey conducted by ETC Institute. This dataset has two layers and...
-
<div style='text-align:Left;'><p><span>These data include the individual responses for the City of Tempe Annual Community Survey conducted by ETC Institute. This dataset has two layers and...
