Data

The U.S. Geological Survey deployed small uncrewed aircraft systems (sUAS) to collect aerial remote sensing data across two sites within Assateague Island National Seashore (ASIS) where there are planned restoration efforts by the National Park Service (NPS). Natural-color (RGB) aerial imagery and raw lidar data were collected over the course of 3 days in March 2026 during the "leaf-off"...

We measured nesting rates and nesting success for a community of cavity-nesting bees across gradients of floral abundance, floral richness, and land-cover in the Prairie Pothole Region. Variables in this dataset include a unique transect identifier, a count of the occupied nests per transect, total floral species richness per transect, total floral stem abundance per transect, bee...

In 2016, the United States Geological Survey (USGS) began development of a regional-scale numerical model of the Long Island aquifer system, as part of the National Water Quality Assessment (NAWQA) Program. The three-dimensional groundwater-flow model was developed to evaluate 1) responses of the hydrologic system to changes in natural and anthropogenic hydraulic stresses 2) the...

The U.S. Geological Survey, in cooperation with the Air Force Civil Engineer Center, developed a numerical, steady-state regional model, using MODFLOW-2005, to evaluate current (2010) conditions and the potential effects of future (2030) groundwater withdrawals on water levels, stream flows, hydraulic gradients, and advective transport near the Joint Base Cape Cod (JBCC). Two numerical...

The Maumee River basin is the largest watershed in the Great Lakes region and plays a critical role in managing runoff into western Lake Erie. Despite decades of implementing improved field management strategies aimed at reducing nutrient inputs, particularly phosphorus (P), the persistence of nuisance and harmful algal blooms indicates that sediment- bound P from in-stream and legacy...

This data release contains input and output files for fifteen (15) MODFLOW 6 models that simulate future groundwater nitrogen transport under potential nitrogen management decisions. The development approach for the flow and transport models is described in Jahn and Walter (2026). Each scenario adjusts nitrogen inputs (Monti and others, 2024) based on communication with local...

We computed mean groundwater ages and age distributions at eight wells by calibrating lumped parameter models (LPMs) to concentrations of tracers (3H, CFCs, SF6) in samples using the computer program TracerLPM (Jurgens and others, 2012). We also measured 14C but all samples contained ancient carbonate from the limestone bedrock, and we were unable to resolve the atmospherically-derived...

The dataset presents 5- or 15-minute data for turbidity and Fluorescent Dissolved Organic Matter (FDOM) measured by in-stream sensors at the USGS gage Rio Icacos near Naguabo (50075000), Luquillo Experimental Forest, Puerto Rico. The measurement period was 10 March, 2017 to 1 March, 2019. The USGS sensors were co-located with sensors for nitrate and specific conductance operated by...

This data release supports publications on the Sleepers River Research Watershed near Danville, Vermont. Most of the research at Sleepers River takes place at W-9, the 40.5-hectare forested headwater site. Topics include understanding hydrologic flow paths, biogeochemical cycling, and organic carbon dynamics. Flow and precipitation data are integral to understanding these processes, for...

This data release presents water-quality and streamflow data from 12 streams on Cape Cod, Massachusetts, which were used to identify potential land areas that are sources of high nitrogen loading from groundwater directly to streams. The sources of nitrogen loading to groundwater in this region include wastewater from septic systems and fertilizer and stormwater runoff. Streamflow in the...

The dataset includes identification, densities, and dry masses of aquatic invertebrates and crustaceans sampled in benthic and water column habitats of Great Basin terminal lakes in California, Nevada, Oregon, and Utah during 2024 and 2025

This dataset provides details from stream metabolism models for 11 stream sites in Connecticut that were monitored during 2015 to 2018 by the U.S. Geological Survey (USGS). Metabolism was estimated at each site using the streamMetabolizer package in the R computing environment. When data were collected for multiple years at a site, stream metabolism was separately estimated for each year...