Data Releases

In October 2023, the U.S. Geological Survey Idaho Water Science Center (IDWSC), in cooperation with Lucky Peak Power Plant Project (LPPPP), completed bathymetric and topographic surveys at two dam intake structures using multibeam bathymetry and boat-mounted Light Detection and Ranging (LiDAR). Dam operators indicated a possibility that sediment aggradation was occurring near the intake...

This dataset reports total arsenic (AsTot) results analyzed using an in-field biosensor system, Field-Ready Electrochemical Detector for Arsenic (FRED-Arsenic), developed by FREDsense Technologies Corp., Calgary, Alberta, Canada. Samples were collected from two public-supply wells (NH-SGW 93 and NH-SGW 65) and one private well (NH-KFW 87). NH-SGW 93 and NH-KFW 87 both withdraw water from...

These data consist of larval fish and water profile data collected with a nearshore to offshore transect approach at 9 transects throughout Lake Huron. Larval fish and their stomach contents were identified, enumerated, and measured (if possible) using a dissecting microscope. These data were used to calculate densities of potential fish prey items (what is available in the environment)...

These data were created to describe the causes of land cover change that occurred in the Lower Rio Grande (LRG) Valley and Alluvial Floodplain ecoregions of Texas for the time intervals of 2001 to 2006 and 2006 to 2011. The study area covers approximately 600,000 hectares at the southernmost tip of Texas and is one of the fastest growing regions in the United States. Some of the largest...

Legacy contaminants and contaminants of emerging concern (CECs) were assessed in tree swallow (Tachycineta bicolor) tissue and diet samples from three drainages in the Milwaukee Estuary, Wisconsin to understand exposures and possible effects.

Species Distribution Models (JSDMs) allow for accounting for both environmental predictors and species dependencies within a single statistical modeling frameworks. However, it is unclear under what conditions incorporating residual species dependencies (conditional predictions) might outperform predictions made using only environmental information (marginal predictions). Here, we...