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.
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Water quality of precipitation and streamflow, with air temperature data, in four Kentucky, Appalachian watersheds - 1971 to 2018 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...
Seasonal ecophysiological measurement data from December 2015 to September 2016, southeastern Utah 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
Iron fouling data associated with drainage from roadway sites constructed with rock fill in New Hampshire 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...
Hillslope hydrologic monitoring data following Hurricane Maria in 2017, Puerto Rico, July 2018 to June 2020 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...
Data associated with toxicant applications for brown treesnake control 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...
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 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...