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The USGS Water Resources Mission Area provides water information that is fundamental to national and local economic well-being, protection of life and property, and effective management of the Nation’s water resources. Below, find data and tools relevant to a wide range of water resources and conditions including streamflow, groundwater, water quality, and water use and availability.
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SPARROW Mappers for the 2012 SPARROW Models for the Pacific region
SPARROW mappers are interactive tools that allow users to explore river streamflow and nutrient and sediment loads and yields and the importance of different sources of contaminants in a particular river basin. Data can be visualized using maps and interactive graphs and tables, and rankings can be shown by state, major watershed, hydrologic unit (HUC), and catchment.
Nitrogen biogeochemistry in a boreal headwater stream network in Interior Alaska, 2008 to 2011
High latitude, boreal watersheds are nitrogen-limited ecosystems that export large amounts of organic carbon. Key controls on carbon cycling in these environments are the biogeochemical processes affecting the nitrogen cycle. This data release presents results of a 3-year field study from 2008-2011 to document the relation between seasonal and transport-associated changes in carbon and...
Tidal hydrologic and constitutent loads from First Mallard Water Quality Station in the Rush Ranch Marsh Complex of the San Francisco Bay Estuarine Research Reserve (SFBNERR) 2016-2018
The data herein report continuous field measurements and specific discrete sampling events associated with water quality and carbon consitutents – both dissolved and particulate forms. These data were coupled with atmospheric flux measurements during the 2017-18 water year to estimate the net storage of fixed carbon within the marsh on an areal basis. Direct and indirect measurement sho
Self-potential (SP) data collected in a mine-impacted wetland near Silverton, Colorado in September 2019
This child item contains self-potential (SP) data collected over a small alpine wetland between Mogul Mine and Cement Creek located near Silverton, Colorado. Mine-impacted water is transported to Cement Creek via surface channels and groundwater through this wetland. The SP method measures passive voltages in the subsurface using a high impedance voltmeter with one fixed electrode at a ba...
Ground penetrating radar (GPR) data collected in a mine-impacted wetland near Silverton, Colorado in September 2019
This child item contains ground penetrating radar (GPR) data collected over a small alpine wetland between Mogul Mine and Cement Creek located near Silverton, Colorado. Mine-impacted water is transported to Cement Creek via surface channels and groundwater through this wetland. The GPR method transmits radar pulses into the ground and measures the returned amplitude from these pulses over...
Frequency domain electromagnetic induction (FDEM) data collected around mine-impacted streams near Silverton, Colorado in September 2019
This child item contains frequency domain electromagnetic induction (FDEM) data collected along and around Cement Creek and California Gulch near Silverton, Colorado in support of other data collected at the site. The FDEM tool generates an EM field and measures eddy currents generated by conductive and/or magnetic materials in the subsurface in response to the applied field. A Geophex
Fiber-optic distributed temperature sensing data collected in mine-impacted streams near Silverton, Colorado in September 2019
This child item contains fiber-optic distributed temperature sensing (FO-DTS) data collected along the streambed interface of two streams named Cement Creek and California Gulch Creek located near Silverton Colorado. The FO-DTS method utilizes the temperature-dependent backscatter of light pulses emitted along armored fiber-optic cables to evaluate temperature at discrete linear sampling loca...
Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), 1980-2016, Daymet Version 3 calibration
This data release contains inputs and outputs for hydrologic simulations of the conterminous United States (CONUS) using the National Hydrologic Model (NHM) application of the Precipitation Runoff Modeling System (PRMS) in ASCII and binary format and explanatory graphics in pdf format. These simulations were developed to provide estimates of water availability for historical condition
Near-surface geophysical data collected along streams near Silverton, Colorado, USA
Near-surface geophysical data from within the Bonita Peak Mining District in Silverton, Colorado, USA are presented. The data include fiber optic distributed temperature sensing (FO-DTS) and frequency domain electromagnetic induction (FDEM) data collected in and around roughly 1 km reaches of Cement Creek and California Gulch. Additional data, including ground penetrating radar %2
Sediment Mercury Profile, Laguna de Pozuelos, Argentine Northwest
The data represent a shallow mercury chronology using sediment core from a playa lake system situated in a high-altitude setting in northwest Argentina. Archive samples were used from sediment core (LP07-1A) that was collected from a location (lat -22.362100°, lon -66.003600°) in the center of the playa-lake Laguna de Pozuelos in the dry season of 2007, when the water level
Stable isotope analysis of San Francisco Bay-Delta primary producers (1990-2000)
This dataset is a compilation of multiple studies over different periods and in many environments as described below. These data were collected to measure temporal fluctuations in plant isotopic composition associated with seasonal cycles of growth and environmental variability. In 1990, 1992, and 1998-2000, a total of 868 samples were collected and analyzed to determine carbon and nitrogen...
Collection of Hydrologic Models, Reanalysis Datasets, and Remote Sensing Products Aggregated by Ecoregion over the CONUS from 1900 to 2018
This is accompanying data produced for the study "Implications of Model Selection: Inter-Comparison of Publicly-Available, CONUS-Extent Hydrologic Component Estimates". These datasets were converted from their primary structures (rasters and shapefiles) to EPA Ecoregions Level I. Conversion was performed by averaging timestep layers via mean area weight to produce a single vector of