Search Data.gov
Found 1906 dataset(s) matching "White Plains".
-
These data are in support of report DS 456 (Arnold and others, 2009). This dataset includes 90 potential groundwater sampling sites randomly generated using techniques described in Scott...
-
"We applied Simple Non-Iterative Clustering (SNIC) (Achanta and Susstrunk 2017) to develop image segments or super-pixels from the WorldView mosaic (Figure 4). Input bands for the segmentation...
-
Terrain models representing river channel and terrestrial surface elevations were developed for use in 2D hydraulic modeling with HEC-RAS software. Channel bed elevations were determined from...
-
This file contains site identification information of streamgages and paired wells to the streamgages operated by the U.S. Geological Survey in the State of Mississippi and within the Mississippi...
-
Physiography was derived from an attribute field in the ecological subsection mapping. The original physiography linework was adjusted to match the image segmentation edges. Segments in more than...
-
Water Surfaces Elevations from Pressure Transducers on the Tanana River near Fairbanks, Alaska, 2016
This dataset includes locations, and water surface elevations from two submersible pressure transducers deployed in the channel of the Tanana River downstream of Fairbanks Alaska in 2016.
-
The resource contains general environment data from the ABR, Inc. – Environmental Research and Services (ABR) 2019 ground surveys, and the 2013 Alaska Ecoscience Hula Hula & Dalton Hwy dataset....
-
"We obtained the 5 m Interferometric Synthetic Aperture Radar Digital Terrain Model (IFSAR DTM) tiles for the study area from https://elevation.alaska.gov/ and mosaicked the products into a single...
-
Terrain models representing river channel and terrestrial surface elevations were developed for use in 2D hydraulic modeling with HEC-RAS software. Channel bed elevations were determined from...
-
This data set contains four tables of information regarding the sampling of plant biomass, nitrogen, cumulative thaw degree days, precipitation, and Normalized Difference Vegetation Index (NDVI)...
-
We compiled the Landsat Level-3 Fractional Snow Covered Area (fSCA) product (Painter et al. 2009, Selkowitz et al. 2017) for the tiles intersecting the study area for 2000–2017. The product...
-
The dataset was generated for the South Central Plains EPA level III ecoregion which extends through eastern Texas, northwestern Louisiana, southwest Arkansas, and a small portion of southeastern...
-
The titanium concentrations were obtained from a data set that is called the "National Geochemical Survey." This data set, as well as its documentation, are available in U.S. Geological Survey...
-
Terrain models representing river channel and terrestrial surface elevations were developed for use in 2D hydraulic modeling with HEC-RAS software. Channel bed elevations were determined from...
-
We prepared a water phenology product from the Landsat Level-3 Dynamic Surface Water Extent (DSWE) science product, which provides a water classification for each Landsat scene at 30 m resolution...
-
Terrain models representing river channel and terrestrial surface elevations were developed for use in 2D hydraulic modeling with HEC-RAS software. Channel bed elevations were determined from...
-
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude, altitude, and...
-
The resource contains the vegetation voucher specimen data from the ABR, Inc. – Environmental Research and Services (ABR) 2019 ground surveys plots. A few specimens are included from the aerial...
-
The US Geological Survey (USGS) conducted a study (Carlisle and others 2017) with a national-scale dataset composed of ecological data from the USGS National Water-Quality Assessment Project and...
-
The resource contains vegetation cover data from the ABR, Inc. – Environmental Research and Services (ABR) 2019 aerial surveys. The data in this resource relates to the other data deliverable...
