Data

Alamagan Volcano is a Quaternary stratovolcano along the Mariana Arc, an active subduction zone in the western Pacific Ocean. Although primarily submerged, its peak reaches above sea level, with subaerially-exposed volcanic deposits dating back through the Holocene to the late Pleistocene. These feature data represent such deposits and other geologic features of Alamagan Volcano, describing its in

Location, occurrence, collection information, and genetic species identification data in support of an analysis of the spatial separation of Lake Whitefish and Cisco larvae in Chaumont Bay, Lake Ontario, the last known spawning area of both species in American waters of Lake Ontario. Genetic species identification of larval coregonines collected between April 2004 and 2015 is provided for larval s

Starting in 2003, the U.S. Geological Survey (USGS) Northern Rocky Mountain Science Center in West Glacier, MT, in collaboration with the National Park Service, collected avalanche observations along the Going to the Sun Road during the spring road-clearing operations. The spring road-clearing along Going to the Sun Road utilized a team of avalanche specialists from the USGS and Glacier National P

The Edwards aquifer is a karst aquifer system that is a primary water source for a large part of central Texas including the city of San Antonio, Texas. These vector geospatial data represent the geographic extent of the contributing zones for the Northern, Barton Springs, and San Antonio segments of the Edwards aquifer. The contributing zone is defined as the drainage area of the Edwards Plateau

This dataset contains cross-section geometry and sediment-size data collected in the fall of 2019 from Muddy Creek and North Fork Gunnison River below Paonia Reservoir, western Colorado. Six cross sections were surveyed using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) methods to document channel geometry below Paonia Reservoir. One cross section was surveyed on Muddy Creek b

These data were compiled for the use of training natural feature machine learning (GeoAI) detection and delineation. The natural feature classes include the Geographic Names Information System (GNIS) feature types Basins, Bays, Bends, Craters, Gaps, Guts, Islands, Lakes, Ridges and Valleys, and are an areal representation of those GNIS point features. Features were produced using heads-up digitizi

We examined Hawaiian hoary bat (Lasiurus semotus) presence and foraging activity at Hakalau Forest National Wildlife Refuge and Lupahoehoe Forest Reserve on Hawai'i Island during the 2013 koa moth (Geometridea: Scotorythra paludicola) outbreak. Hawaiian hoary bat echolocation vocalizations were recorded at seven acoustic stations between 1069 and 1200 m above sea level that operated nightly from M

This data product includes two datasets acquired for the study of northern Yellowstone mule deer seasonal movement and survival patterns. One data set "Point Locations of Radio-collared female northern Yellowstone mule deer" provides details about the date and time of relocations of radio-collared female northern Yellowstone mule deer along with location coordinates. Habitat types with which the d

The Fluvial Egg Drift Simulator (FluEgg) estimates bighead, silver, and grass carp egg and larval drift in rivers using species-specific egg developmental data combined with user-supplied hydraulic inputs (Garcia and others, 2013; Domanski, 2020). This data release contains results from 240 FluEgg 4.1.0 simulations of bighead carp eggs in the Illinois River under steady flow conditions. The data r

Grass Carp Ctenopharyngodon idella was imported to the United States in the 1960s for research into its usefulness as a biocontrol agent for nuisance aquatic vegetation. Escapees and intentionally stocked individuals founded wild, spawning populations in the Mississippi River and tributaries to the Laurentian Great Lakes. USGS-led research on the Sandusky River, a tributary to Lake Erie, demonstra

This data release contains trend results computed on the basis of modeled and observed daily streamflows at 502 reference gages across the conterminous U.S. from October 1, 1983 through September 30, 2016. Modeled daily streamflows were computed using the deterministic Precipitation Runoff Modeling System (PRMS), and five statistical techniques: Nearest-Neighbor Drainage Area Ratio (NNDAR), Map-Co

These data were compiled for research pertaining to the effects of stand density treatments on growth rates in semi-arid, ponderosa pine forests. Also, these data examined how the planned restoration treatments in the Four Forests Restoration Initiative (4FRI), the largest forest restoration project being implemented in the United States, would alter landscape-scale patterns of forest growth and d