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During November 2018, the Camp Fire burned more than 150,000 acres in Butte County, California. The fire was the deadliest and most destructive in California history, destroying more than 18,000 structures and causing at least 85 fatalities. The U.S. Geological Survey sampled surface water in areas affected by the Camp Fire, plus an unburned control site, during two post-fire sampling events, January 21-23, 2019 and February 28 - March 1, 2019. During each of those two sampling events, surface-water samples were collected at 8 stream locations. These 16 water samples were filtered using filters with multiple pore sizes (1.2 µm, 0.8 µm, 0.45 µm, and 0.22 µm) to evaluate colloid transport of trace elements. The filtrates...
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This dataset, VegDischarge v1, represents a significant contribution to the understanding of hydrological dynamics across Africa from 2000 to 2021. It encompasses high-resolution (1km x 1km) monthly raster data of deep drainage, surface runoff, and total runoff, derived from the VegET (VegetationEvapoTranspiration) hydrological model (Senay et al., 2023). Additionally, routed discharge data (Mizukami et al., 2021) for over 63,000 river segments is provided, employing different routing algorithms (DW, KW, KWT, MC, and IRF) to demonstrate variability in river discharge patterns. This comprehensive dataset is stored in NetCDF and Shapefile formats, offering valuable insights for policymakers, stakeholders, and researchers...
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This dataset includes pipe-flow monitoring data in sewers used to analyze the water budget at RecoveryPark in Detroit, Michigan. These are provided as 3 text comma separated format files at sewer locations that drain the study area. In addition, there are 6 text comma separated format files containing the Rhodamine dye tracer concentrations collected in the combined sewer locations for this study. The Dye tracer files constitute two separate dye tracer tests in different parts of the sewer system done in the same day.
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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey updated the foundational geospatial layers for the South Carolina StreamStats web application (https://water.usgs.gov/osw/streamstats/), which provides analytical tools useful for water-resources planning and management (Kolb and others, 2018). This dataset presents the digital elevation model, lidar-derived flow direction, flow accumulation, and percent basin slope raster data layers used for analysis in StreamStats. It also includes the streamline vector data used to hydro-enforce the raster data layers.
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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters from the National Land Cover Database (NLCD) 2019 as part of updating the South Carolina StreamStats application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats study area, and will be served in the South Carolina StreamStats application (https://www.usgs.gov/streamstats) to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering...


    map background search result map search result map Land Cover Basin Characteristics Rasters from NLCD 2019 for South Carolina StreamStats Geochemical data for post-fire surface water, streambed sediment, and soils from areas affected by the 2018 Camp Fire, Butte County, California Select pipe-flow monitoring data from RecoveryPark in Detroit, MI (2015–2021) Foundational Geospatial Layers for South Carolina StreamStats 2024 Hydrologic gridded runoff and routed discharge data for Africa from 2000-2021 Select pipe-flow monitoring data from RecoveryPark in Detroit, MI (2015–2021) Geochemical data for post-fire surface water, streambed sediment, and soils from areas affected by the 2018 Camp Fire, Butte County, California Foundational Geospatial Layers for South Carolina StreamStats 2024 Land Cover Basin Characteristics Rasters from NLCD 2019 for South Carolina StreamStats Hydrologic gridded runoff and routed discharge data for Africa from 2000-2021