Data

This data release contains model simulation results of a particle tracking analysis to delineate areas that provide recharge to surface waters and public-supply wells on Long Island, NY. The analysis partitions the recharge areas based on particle travel times of greater than or less than 10 years to reach the receiving surface water or well. The simulation was performed using a regional-scale num

During the spring and summer of 2020, the U.S. Geological Survey, Lower Mississippi – Gulf Water Science Center, conducted single well slug tests on selected wells within the Mississippi Alluvial Plain in Arkansas and Mississippi to estimate hydraulic conductivity (K) and transmissivity (T) values for the aquifers in which the wells are screened. A total of 324 tests were conducted on 48 wells. Th

Wildfires are increasingly modifying wildlife habitat in the western United States and managers need ways to scope the pace and degree to which post-fire restoration actions can re-create habitat in dynamic landscapes. We simulated post-fire revegetation and greater sage-grouse (Centrocercus urophasianus) habitat restoration using a spatially explicit state-transition simulation model (STSM) devel

The U.S. Geological Survey collected groundwater samples from 33 wells used for domestic and small system drinking water supplies in Kern County, California in 2022. The wells were sampled for the Kern County Domestic-Supply Aquifer Study Unit of the State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality o

Observations of irrigated agricultural land within the San Simon Valley Groundwater Subbasin of the Safford Groundwater Basin. Digitized field boundaries were used to locate crops for in situ verification twice in 2022; crop verification occurred first on May 18th and again on August 24th. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program Co

Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Digitized field boundaries were used to locate crops for in situ verification once in 2022; crop verification occurred on June 2nd. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program County Mosaic 2021 imagery for Arizona and supplemented with

Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contain

This dataset is a collection of cropped avian images that pair with species identification annotation values.

This data set contains U-Pb isotopic data and ages, Hf isotope data, and trace element concentrations of zircon from igneous rocks collected from the Yukon-Tanana Upland, eastern Alaska. The sample suite was collected as part of geological mapping and supporting geochemical and geochronological analysis conducted from 2013 to 2019. Zircon was obtained from these igneous rocks to determine the crys

This date release was produced as part of the Milwaukee Area Watercourse Corridor Study in partnership with the Milwaukee Metropolitan Sewerage District (MMSD) to monitor and assess stream water quality within studies of aquatic communities, geomorphology and habitat, water and sediment, and streamflow. This dataset contains two vector datasets of stream geomorphic characteristics, pre-settlement

Locations of sites at which U.S. Geological Survey (USGS) biologists surveyed for Temblor legless lizards (Anniella alexanderae) in 2022 and 2023 and the results of those surveys. At the time of the species description, little was known about the distribution of the Temblor legless lizard beyond a few localities. Surveys were designed to gather information on the distribution of Temblor legless li

This dataset consists of a raster and surficial shapefiles for the Neversink River watershed, NY, that were generated using ArcGIS Pro's deep learning functionality. The shapefiles contain polygons that show the locations of shallow-to-exposed bedrock and alluvium-filled valleys, while the raster provides estimated minimum sediment thicknesses in the areas between the shallow/exposed bedrock and a