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Soil sample data for four uranium mine sites, Mohave County, Arizona, April and November 2018 Soil sample data for four uranium mine sites, Mohave County, Arizona, April and November 2018
This U.S. Geological Survey data release is a spreadsheet containing soil-profile measurements of ambient spring and fall water-potential and water-content conditions, and physical and chemical properties for four mine sites, Mohave County, Arizona, April and November 2018. The four mines sampled in both April and November were Kanab North (native soil and reclaimed soil), EZ2 (native...
Soil surface properties and roughness data at two experimental restoration sites within the Southwestern USA Soil surface properties and roughness data at two experimental restoration sites within the Southwestern USA
This data release presents data used for analyzing spatial and temporal differences in soil surface roughness within selected biocrust communities. These records were collected by ground-based lidar for 121, 1m x 3m soil plots with biological soil crusts (biocrusts). Roughness was estimated from 5 mm resolution data (CloudCompare v. 2.10.2, 2019) for two Great Basin Desert sites (UTTR-1...
Soil-physical and soil-hydraulic properties as a function of burn severity for 2013, 2015, and 2017 in the area affected by the 2013 Black Forest Fire, Colorado USA Soil-physical and soil-hydraulic properties as a function of burn severity for 2013, 2015, and 2017 in the area affected by the 2013 Black Forest Fire, Colorado USA
Wildfire can impact soil-physical and soil-hydraulic properties, with major implications for hydrologic and ecologic response. The durations of these soil impacts are poorly characterized for some forested environments. This dataset sheds light on the first four years of recovery of soil-physical properties of bulk density, loss on ignition (measure of soil organic matter), and soil...
Soil-Water Balance model datasets used to estimate groundwater recharge in parts of North Carolina, South Carolina, and Georgia under 2015 conditions and future conditions using three downscaled climate models paired with two land cover scenarios Soil-Water Balance model datasets used to estimate groundwater recharge in parts of North Carolina, South Carolina, and Georgia under 2015 conditions and future conditions using three downscaled climate models paired with two land cover scenarios
Groundwater recharge is an important part of water budget estimation and is a critical data component used in creating and calibrating groundwater flow models such as MODFLOW. Soil Water Balance Models (SWB) can be used to estimate potential groundwater recharge across spatial domains and through time. This metadata record describes an SWB archive for parts of the Coastal Plain of North...
Soil-Water-Balance (SWB) model data sets for the Greater Wake County area, North Carolina, 1981 - 2070 Soil-Water-Balance (SWB) model data sets for the Greater Wake County area, North Carolina, 1981 - 2070
This data release has been deprecated. The new version can be found at https://doi.org/10.5066/P95XKK5V. A Soil-Water-Balance (SWB) model was developed to estimate annual net infiltration below the root-zone for the Greater Wake County Area, North Carolina for the period 1981 through 2019 and project future estimates from 2020 through 2070. The model was developed as part of a study to...
Sonobuoy Seismic and Navigation Data Collected Using Sercel GI Guns and Ultra Electronics Seismic Sonobuoys During the Mid-Atlantic Resource Imaging Experiment (MATRIX), USGS Field Activity 2018-002-FA Sonobuoy Seismic and Navigation Data Collected Using Sercel GI Guns and Ultra Electronics Seismic Sonobuoys During the Mid-Atlantic Resource Imaging Experiment (MATRIX), USGS Field Activity 2018-002-FA
In summer 2018, the U.S. Geological Survey partnered with the U.S Department of Energy and the Bureau of Ocean Energy Management to conduct the Mid-Atlantic Resources Imaging Experiment (MATRIX) as part of the U.S. Geological Survey Gas Hydrates Project. The field program objectives were to acquire high-resolution 2-dimensional multichannel seismic-reflection and split-beam echo sounder...
Sonora Mud Turtles and non-native turtles, Montezuma Well, Yavapai County, Arizona, 1983 - 2015 Sonora Mud Turtles and non-native turtles, Montezuma Well, Yavapai County, Arizona, 1983 - 2015
These data were compiled as part of an ecological study of Sonora Mud Turtles and their interaction with non-native turtles at Montezuma Well in Yavapai County, Arizona. The data consist of observations and measurements of individual turtles captured during the study, and support analyses of population size and trends, general condition and health of the turtles, and female reproduction...
Sources of fine-grained sediment in the Linganore Creek Watershed, Frederick and Carroll Counties, Maryland, 2008-2010 Sources of fine-grained sediment in the Linganore Creek Watershed, Frederick and Carroll Counties, Maryland, 2008-2010
This dataset provides physical and chemical data for a sediment-fingerprinting study conducted in the upper parts of the Linganore Creek watershed in an effort to quantify and determine the sources of fine-grained sediments eroded from and deposited on streambanks, flood plains, channel beds, and agricultural and forested uplands. Data were collected from August 1, 2008 through December...
SPARROW model input datasets and predictions of nitrogen loads in streams of the Chesapeake Bay watershed SPARROW model input datasets and predictions of nitrogen loads in streams of the Chesapeake Bay watershed
This data release contains mean-annual total nitrogen (TN) loads predicted by a SPARROW model for individual stream and shoreline reaches in the Chesapeake watershed as defined by NHDPlus, a 1:100,000 scale representation of stream hydrography built upon the National Hydrography Dataset (NHD) (Horizon Systems, 2010). Also included are the input variables required to execute the model...
SPARROW model inputs and simulated future baseflow for streams of the Upper Colorado River Basin SPARROW model inputs and simulated future baseflow for streams of the Upper Colorado River Basin
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to estimate baseflow changes from historical (1984 - 2012) to thirty-year periods centered around 2030, 2050, and 2080 under warm/wet, median, and hot/dry climatic conditions. SPARROW is a spatially explicit hybrid statistical and process-based model that estimates mean...
SPARROW Model Simulated Nutrient and Suspended Sediment Loads in Streams when All Forests are Urbanized Across the Southeastern United States SPARROW Model Simulated Nutrient and Suspended Sediment Loads in Streams when All Forests are Urbanized Across the Southeastern United States
The U.S. Geological Survey's SPAtially Referenced Regression On Watershed attributes (SPARROW) for the Southeastern United States was used to simulate changes in total nitrogen, total phosphorus and suspended sediment load in streams under two scenarios: (1) where all forests are urbanized and (2) where all forests are urbanized and runoff is adjusted based on a non-forested landscape...
Spatial and bathymetric data for Lago Patillas, Puerto Rico, August 2019 Spatial and bathymetric data for Lago Patillas, Puerto Rico, August 2019
Metadata for this geodatabase describe datasets included in the bathymetric study completed for Lago Patillas in August 2019. The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, carried out a bathymetric survey to update stage-volume table for Lago Patillas and to generate a bathymetric map. Water-depth data were collected using a bathymetric data...