All Data

The U.S. Geological Survey (USGS), in cooperation with Maine Department of Transportation, has compiled a series of GIS datasets to be implemented into the USGS StreamStats application for the State of Maine.These data were compiled from the high-resolution National Hydrography Dataset (NHD) and the Maine Lidar-Derived Watersheds (Sturtevant and Schoen, 2022). By using these datasets users will be

Data were collected as part of a long-term capture-recapture program to assess the status and dynamics of populations of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon and Clear Lake Reservoir, California. Lost River suckers (LRS; Deltistes luxatus) and shortnose suckers (SNS; Chasmistes brevirostris) have been captured and tagged with passive integrated transponder

The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,766 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data is are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort

A water-supply plan is being developed for Wake County, North Carolina, in accordance with the 50-year planning window used by the North Carolina Division of Water Resources for residents in unincorporated areas of the county. To develop this supply plan, Wake County seeks to better understand the sustainability of groundwater resources of the regolith/fractured-rock aquifer system. Slug tests wer

These data were compiled to improve our understanding of bat foraging along the Colorado River in Grand Canyon. Objectives of our study were to determine whether bat activity was influenced primarily by variation in prey availability relative to other environmental or geomorphic factors. These data represent 1,428 paired samples of bat activity and insect abundance calculated as catch rates collec

This dataset includes processed tree ring data from avalanche paths in southeast Alaska, USA. The data were processed in three distinct phases that resulted in this dataset: collection, processing, and avalanche signal analysis. This dataset consists of samples from 434 cross sections from 426 unique trees throughout six avalanche paths in the study region. This resulted in 2706 identified growth

Regional geophysical maps of the Great Basin, USA were generated from new and existing sources to support ongoing efforts to characterize geothermal resource potential in the western US. These include: (1) a provisional regional gravity grid that was produced from data compiled from multiple sources: data collected by the USGS and Utah Geological Survey under various projects, industry sources, an

This data release has the results of 333 online survey respondents representing 17 federal agencies and 7 Executive Branch departments from March 14 through April 14, 2022 regarding The Federal Priority Streamgage (FPS) network of the U.S. Geological Survey (USGS). The FPS network was created in 1999 as the National Streamflow Information Program and receives congressionally appropriated funding t

This data release provides the source data and results of a flood frequency analysis and annual exceedance probability estimation for a flood that occurred on July 11, 2022 in the Delta River Basin, Alaska. Data are provided for two streamgages that had at least 10 years of peak-flow record. The data include streamgage information, PeakFQ input (.txt and .PSF files) PeakFQ output (.PRT, .EXP, and

The Bonnet Carré Spillway (BCS), located about 28 miles northwest of New Orleans, Louisiana, was constructed in the early 1930s as part of an integrated flood-control system for the lower Mississippi River Plain. The BCS is designed to divert water from the Mississippi River (MSR) into Lake Pontchartrain (LP), which then flows into Lake Borgne and the Mississippi Sound (MS Sound), thus

This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture on generalizability when predicting stream temperature in the Delaware River Basin (DRB). Briefly, we modeled stream temperature in the DRB using two spatially and temporally aware process guided deep learning models (a recurrent graph

This Data Release contains stream temperature data for 12 sites within the headwaters of the Potomac River basin. Data were collected between June 1-August 31, 2022 (92 days) at 30-minute increments. We collected data using Onset ProV2 gages in perforated PVC cases mounted to stream substrates with rebar. This work was funded by the USGS Priority Ecosystem Science program for the Chesapeake Bay.