Filters: Tags: atmospheric sciences (X)
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Dataset provides inputs and model results of a stable isotope-based mixing model for estimating the relative contribution of seasonal recharge sources to the South Rim groundwater flow system, Grand Canyon, Arizona, USA.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
Coconino,
Geochemistry,
Grand Canyon,
Hydrology,
Under the Great Lakes Restoration Initiative, the U.S. Geological Survey Mercury Research Lab (USGS MRL) conducted a multiyear assessment of mercury across the Laurentian Great Lakes. Biannual sampling was conducted across all five lakes onboard the U.S. Environmental Protection Agency (US EPA) research vessel Lake Guardian (in years 2010–2014, 2018) at pelagic sampling locations established by the long-term US EPA Great Lakes monitoring program. In addition to the regularly scheduled biannual sampling, in September 2013 and 2014 Lake Michigan and Lake Erie (respectively) were sampled with increased focus on shallow nearshore locations. Throughout these sampling efforts, sediments, mussels, surface water, and plankton...
The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 8 Collection 2 images. These images were selected at random from the Landsat 8 archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide useful information for quantifying the accuracy of clouds flagged by various cloud masking algorithms. Each mask is provided in GeoTIFF format, and includes all bands from the original Landsat 8 Level-1 Collection 2 data product (COG GeoTIFF), and its associated Level-1 metadata (MTL.txt file). The interpretation for the pixel values...
The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 7 Collection 2 images. These images were selected at random from the Landsat 7 SLC-On archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide useful information for quantifying the accuracy of clouds flagged by various cloud masking algorithms. Each mask is provided in GeoTIFF format, and includes all bands from the original Landsat 7 Level-1 Collection 2 data product (COG GeoTIFF), and its associated Level-1 metadata (MTL.txt file). The interpretation for the pixel...
Soil gas methane and combustible gas concentrations collected from oil and gas well pad locations in Utah. Soil gas samples were measured on site and/or collected for later analysis as described in supporting documentation. Multiple sample locations around well head and depths within the soil profile are available for select sites. Supporting documents provide information of sample collection protocol and data quality assurance.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Big Flat,
Big Indian North,
Big Indian South,
Big Valley,
Bluebell,
The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 8 Collection 1 images. These images were selected at random from the Landsat 8 archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide useful information for quantifying the accuracy of clouds flagged by various cloud masking algorithms. Each mask is provided in GeoTIFF format, and includes all bands from the original Landsat 8 Level-1 Collection 1 data product (COG GeoTIFF), and its associated Level-1 metadata (MTL.txt file). The interpretation for the pixel values...
The USGS Precipitation Chemistry Quality Assurance Project (PCQA) operates QA programs to challenge and test the National Atmospheric Deposition Program (NADP) data-collection processes for both the National Trends Network (NTN) and Mercury Deposition Network (MDN). PCQA data are available in separate tables for each quality-assurance program: (1) NTN Interlaboratory-comparison, (2) MDN Interlaboratory-comparison program, (3) NTN Field-Audit program, (4) MDN System-Blank program, and (5) NTN Co-located Sampler program. Measured parameters include precipitation depth, pH, specific conductance, and ion concentrations for calcium, magnesium, sodium, potassium, ammonium, chloride, bromide, nitrate, sulfate, phosphate,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: North America,
USGS Science Data Catalog (SDC),
Water Quality,
atmospheric sciences,
chemical analysis
The USGS Precipitation Chemistry Quality Assurance Project (PCQA) operates QA programs to challenge and test the National Atmospheric Deposition Program (NADP) data-collection processes for both the National Trends Network (NTN) and Mercury Deposition Network (MDN). PCQA data are available in separate tables for each quality-assurance program: (1) NTN Interlaboratory-comparison, (2) MDN Interlaboratory-comparison program, (3) NTN Field-Audit program, and (4) MDN System-Blank program. Measured parameters include precipitation depth, pH, specific conductance, and ion concentrations for calcium, magnesium, sodium, potassium, ammonium, chloride, bromide, nitrate, sulfate, phosphate, and total mercury.
Categories: Data;
Tags: Climatology,
North America,
USGS Science Data Catalog (SDC),
Water Quality,
atmospheric sciences,
The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 9 Collection 2 images. These images were selected at random from the Landsat 9 archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide useful information for quantifying the accuracy of clouds flagged by various cloud masking algorithms. Each mask is provided in GeoTIFF format, and includes all bands from the original Landsat 9 Collection 2 Level-1 data product (COG GeoTIFF), and its associated Level-1 metadata (MTL.txt file).
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