Data

Degraded physical habitat is a common stressor affecting river ecosystems and a primary focus of management activities, including stream restorations. In order to assess regional conditions and help prioritize management efforts, there is an ongoing need to provide estimates of different aspects of instream physical habitat conditions at spatially continuous scales. We utilized over 16...

This dataset contains results of generalized least-squares (GLS) regression for 63 streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) on urban streams in Washington D.C. and parts of Delaware, Maryland, New Jersey, Pennsylvania, and Virginia. This dataset was created to support the Washington D.C. StreamStats project funded by the Washington D.C...

Machine learning (ML) models were used to forecast streamflow drought from 1 to 13 weeks into the future at more than 3,000 streamgage locations across the conterminous United States. Long short-term memory [LSTM] neural network models were used to predict weekly streamflow percentiles with independent models for each forecast horizon. In this data release we specifically include an LSTM...

This data release contains input data tables and results from analysis to predict seasonal high streamflow generation regions of the conterminous United States. Input data consists of landscape characteristics, climate variables, and streamflow metrics at selected USGS streamflow gages as well as the same landscape characteristics and climate variables at ungaged locations. Results from...

This metadata record contains two tables with reported and calculated amounts of biosolids applied to agricultural land within Virginia in 2024 at different scales. Included in the dataset are (1) mass of land-applied biosolids calculated for NHDPlus Version 2.1 (NHDPlusV2) reach catchments in 2024 as a CSV and (2) reported amount of biosolids applied to land by county in 2024 as a CSV...

As part of a larger study examining stream conditions and the effect of Best Management Practices in the Chesapeake Bay watershed, thirty small streams in the developed Piedmont of Maryland, Washington, DC, and Virginia were instrumented and monitored for gage height (water level), water temperature, and air temperature using Onset HOBO sensors from March to September 2024. In addition...

This metadata record contains eight shapefiles with water quality parameters at the Anacostia River confluences of Hickey Run and Watts Branch, at Washington, DC, in 2025. Included in the dataset are water quality parameters (pH, turbidity, dissolved oxygen, specific conductance, and water temperature) and coordinates measured in these confluences by a remote-controlled autonomous boat...

This dataset contains site information and results of flood frequency analysis for 154 urban streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in Washington D.C. and parts of Delaware, Maryland, New Jersey, Pennsylvania, and Virginia. Site information and annual peak-flow data from the 1924 - 2022 water years were obtained from the USGS National Water

Through data sharing agreements with Federal and State agencies, the U.S. Geological Survey (USGS) collects time-series of environmental management practice data to inform studies that guide resource management decisions. These data include agricultural conservation practices, best management practices (BMPs), and pollution control strategies in the Chesapeake Bay watershed. This data...

This data was created to support the Washington D.C. StreamStats project funded by the Washington D.C. Department of Energy and Environment (DOEE). This dataset contains basin characteristics for 154 urban streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in Delaware, District of Columbia, Maryland, New Jersey, Pennsylvania, and Virginia...

This dataset contains 3,229 feather files with time series of all model inputs for machine learning models predicting streamflow drought across the conterminous United States (CONUS). Files contain weekly time series of streamflow percentiles, meteorology, snow water equivalent, forecast meteorology, estimated water use, soil moisture, as well as lagged versions of these datasets. Values...

U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 3rd of April to the 23rd of June in 2023, using various methods to record geomorphic and habitat indicators throughout 30 streams in southern Pennsylvania and northern Maryland. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses...