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Data Releases

The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.

Filter Total Items: 13102

Time-Domain Electromagnetic Data Used in the Assessment of the Freshwater/Saline-Water Transition Zone within the Hueco Bolson, Fort Bliss Area, El Paso, Texas 2017-2019

Declining groundwater levels in the Hueco Bolson have raised concerns about the amount of available groundwater and the potential for water-quality changes. Fresh groundwater stored in the aquifer is bordered by regions of brackish-to-saline groundwater, and as the water levels in the Hueco Bolson have declined the local and regional hydraulic gradients have been altered such that the brackish-to-

Asian carp eDNA and egg morphology data collected from Truman Reservoir tributaries, Missouri, USA, 2014

Ichthyoplankton tows samples collected from Truman reservoir tributaries evaluated for eDNA. Data also includes hydrologic and water quality parameters and morphology of grass carp eggs.

Water quality of precipitation and streamflow, with air temperature data, in four Kentucky, Appalachian watersheds - 1971 to 2018

Context: The freshwater resources of the Central Appalachian region are impacted by stressors operating on multiple spatial scales, from local land use and land management (e.g., timber harvests and surface mining) to regional air quality patterns (e.g., pollutant emissions) and broader-scale climate variability. In order to isolate the effects of any of these stressors on water resources, detaile

Seasonal ecophysiological measurement data from December 2015 to September 2016, southeastern Utah

These data were compiled to investigate differentiation in physiological activity varies through time for different functional groups. These include the seasonal progress of 13 plant species representing perennial C3 shrub, C3 grass, C4 grass, and annual forb functional groups of the Colorado Plateau, USA. These data can be used to test for differences in carbon assimilation strategies (SeasonalEc

Iron fouling data associated with drainage from roadway sites constructed with rock fill in New Hampshire

This data release contains files that are associated with the publication 'Understanding and predicting iron fouling associated with drainage from roadway sites constructed with rock-fill in New Hampshire, USA'. Each zipped file contains a data table or raster file and an associated metadata file. IronFoulingCutFillData.zip contains a .csv file and .xml metadata file related to the roadcut and roc

Hillslope hydrologic monitoring data following Hurricane Maria in 2017, Puerto Rico, July 2018 to June 2020

This data release includes time-series, qualitative descriptions, and laboratory testing data from two monitoring stations installed in Puerto Rico following Hurricane Maria in 2017, which led to tens of thousands of landslides across the island (Bessette-Kirton et al., 2017). The stations were installed in July of 2018 to investigate subsurface hydrologic response to rainfall and develop a quanti

Data associated with toxicant applications for brown treesnake control

This file describes three datasets used to evaluate individual traits in brown treesnakes and how they affect susceptibility to toxicant applications. This file references three data sets that include 'Guam GROUND', SURVTOX', and 'HMU NWFN TRT.' Guam GROUND reference to snakes encountered during visual surveys on Guam and whether they were located on the ground or arboreal. SURVTOX refers to a kno

Geospatial Data to Support Estimates of Annual Groundwater Discharge by Evapotranspiration from Areas of Spring-Fed Riparian Vegetation, Stump Spring and Hiko Springs, Clark County, Nevada

This USGS data release, supporting USGS Scientific Investigations Report 2020-5075, Estimates of Groundwater Discharge by Evapotranspiration, Stump Spring and Hiko Springs, Clark County, Southern Nevada, 2016-18, consists of five datasets - Normalized Difference Vegetation Indexes (NDVI) and a mapped groundwater discharge areas (GDA) for two spring areas, and a two-class land cover classification

Rio Grande 2012 Vegetation and Water Classification Data in the Big Bend Region

These data are spatial polygon data and remote sensing image-based classification maps of surface water and vegetation species for 2012 along the Rio Grande River in Big Bend National Park in Texas. The geographic extent of the classification spans from the end of Mariscal Canyon to 5 km after the end of Boquillas Canyon, totaling approximately 77 Km of the river. The maps are also restricted to a

Mercury Data from the Bad River Watershed, Wisconsin, 2004 - 2018

This release includes eight data files that provide concentrations of mercury (Hg) chemical species and ancillary chemical and physical data that quantify and document aspects of the Hg cycle in stream and rivers located on tribal lands of the Bad River Band of Lake Superior Chippewa. These files were transferred to the U.S. Geological Survey by Lacey Hill Kastern, Natural Resources Department, Ba

Concentration of inorganic chemistry associated with suspended sediment at Muddy Creek below Paonia Reservoir, U.S. Geological Survey site number 385626107212000.

Dataset includes the analysis results of 49 inorganic chemical elements bound to suspended-sediment particles below Paonia Reservoir during a sediment release in September 2017. Suspended-sediment samples were collected at U.S. Geological Survey (USGS) station number 385626107212000 by following data collection procedures and protocols in Edwards and Glysson (1999). The samples were freeze-dried a

Data Release for the validation of the USGS Landsat Burned Area Product across the conterminous U.S.

Complete and accurate burned area map data are needed to document spatial and temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and natural systems. In this study, we developed the Landsat Burned Area (BA) algorithm, an update from the Landsat Burned Area Essential Climate Variable (BAECV) algorithm. We present the BA algorithm and products, changes relative
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