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All Data

Explore all data by the topics and refine type to find the digital information in a format suitable for direct input to software that can analyze its meaning in the scientific, engineering, or business context for which the data were collected.

Filter Total Items: 13653

Groundwater Watch - Active Water Level Networks

The U.S. Geological Survey has a database/archive of about 850,000 wells across the Nation. The Active Groundwater Level Network contains water levels and well information from more than 20,000 wells that have been measured by the USGS or USGS cooperators at least once within the past 13 months.

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South Atlantic Water Science Center (SAWSC)

Bridge Scour Countermeasure Assessment Data for Select Bridges in the United States

Scouring of streambed material surrounding bridge structures is a leading cause of bridge failure in the United States. Damages resulting from bridge failure oftentimes lead to financial burdens and loss of life. To date, there has been no comprehensive evaluation of the current (2016) effectiveness of the guidance or overall long-term performance of bridge-scour countermeasures provided in the Fe
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Idaho Water Science Center

Groundwater Watch - Below Normal Groundwater Levels (GA/NC/SC)

The U.S. Geological Survey has a database/archive of about 850,000 wells across the Nation. A well with below normal groundwater levels is identified when the most recent water-level measurement is in the 24th percentile or lower in the month of measurement over the period of record for the well.

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South Atlantic Water Science Center (SAWSC)

Carrying capacity in a heterogeneous environment with habitat connectivity

The data are population sizes of yeast Saccharaomyces cerevisiae growth in laboratory cultures over a period of several days with different levels of growth inhibitor cycloheximide.
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Wetland and Aquatic Research Center

A Reservoir Morphology Database for the Conterminous United States

The U.S. Geological Survey, in cooperation with the Reservoir Fisheries Habitat Partnership, combined multiple national databases for the purpose of calculating new morphological metrics not included in the original databases for 3,828 reservoirs. These new metrics include, but are not limited to, shoreline development index, index of basin permanence, and development of volume and other descript
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Lower Mississippi-Gulf Water Science Center

A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA

The ascii grids associated with this data release are model inputs representing the Central Valley aquifer, California, and predicted nitrate concentrations (as NO3-N, mg/L) at two depth zones associated with private and public drinking water supply wells, respectively, . The model input and prediction grids are bound by the alluvial bed boundary that defines the Central Valley. The prediction gri
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Water Resources Mission Area, National Water Quality Program

Common lead isotopic measurements in silicate glasses and minerals by laser ablation double-focusing SC-ICPMS (2017)

This dataset is related to a 2017 journal article by A. J. Pietruszka and L. A. Neymark titled "Evaluation of laser ablation double-focusing SC-ICPMS for "common" lead isotopic measurements in silicate glasses and minerals" that is published in the Journal of Analytical Atomic Spectrometry (doi:10.1039/c7ja00005g).
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Mineral Resources Program, Geology, Geophysics, and Geochemistry Science Center

Data Sets and Figures for the Report Entitled, "A Field Study of Selected U.S. Geological Survey Analytical Methods for Measuring Pesticides in Filtered Stream Water, June-September 2012"

The National Water-Quality Assessment (NAWQA) Program and National Stream Quality Accounting Network (NASQAN) are U.S. Geological Survey (USGS) monitoring programs that measure pesticide concentrations in the Nations streams and rivers, herein collectively referred to as streams. The NAWQA Program began monitoring pesticides in 1992 and the NASQAN Program began monitoring pesticides in 1995. The p
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Water Resources Mission Area, National Water Quality Program

WaterQuality Watch - View real-time water-quality data using maps, graphs, and tables.

WaterQuality Watch is a U.S. Geological Survey Web site that displays maps, graphs, and tables describing real-time water-quality conditions for the Georgia, North Carolina, and South Carolina. Water temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate, and other surrogates are available.

Real time water quality data:
Georgia || North Carolina || South Carolina
United States
 

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South Atlantic Water Science Center (SAWSC)

Automated Reference Toolset (ART)Data

These environmental raster covariate, geospatial vector data, and tabular data were compiled as input data for the Automated Reference Toolset (ART) algorithm. These data are a subset of all the environmetal raster covariate data used in the ART algorithm. Users are advised to read the mansuscript, associated with these data and identified as the larger work citation. It is recommended that data u
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Southwest Biological Science Center

Organic matter decomposition along coastal wetland landscape gradient from tidal freshwater forested wetland to oligohaline marsh in Southeastern U.S.A. (2010-2011)

Coastal wetlands significantly contribute to global carbon storage potential. Sea-level rise and other climate change-induced disturbances threaten coastal wetland sustainability and carbon storage capacity. It is critical that we understand the mechanisms controlling wetland carbon loss so that we can predict and manage these resources in anticipation of climate change.
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Wetland and Aquatic Research Center

Alaska LandCarbon Wetland Distribution Map

This product provides regional estimates of specific wetland types (bog and fen) in Alaska. Available wetland types mapped by the National Wetlands Inventory (NWI) program were re-classed into bog, fen, and other. NWI mapping of wetlands was only done for a portion of the area so a decision tree mapping algorithm was then developed to estimate bog, fen, and other across the state of Alaska using r
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Earth Resources Observation and Science (EROS) Center
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