Data
Browse real-time data, data releases and more.
All Data
All Data
Filter Total Items: 16624
Modeled bedload-transport capacity for the Siletz River, Oregon Modeled bedload-transport capacity for the Siletz River, Oregon
Bedload-transport capacity models of the Siletz River, Oregon, were developed using standard sediment transport equations (Parker, 1990a,b; Wilcock and Crowe, 2003; Recking, 2013) for the reach from Moonshine Park to the town of Siletz, Oregon (river kilometers 87.2 to 68.5) to evaluate bedload transport capacity over a broad range of streamflows. Models were used to assess longitudinal...
Model outputs and model code for machine learning models forecasting streamflow drought across the Conterminous United States Model outputs and model code for machine learning models forecasting streamflow drought across the Conterminous United States
We applied machine learning (ML) models to forecast streamflow drought from 1 to 13 weeks into the future at more than 3,000 streamgage locations across the Conterminous United States. We applied two machine learning methods (long short-term memory [LSTM] neural network; light gradient boosting [LightGBM] machine) and two benchmark model approaches (persistence; autoregressive integrated...
At-site flood frequency estimates for 154 urban streamgages in Washington D.C. and parts of Delaware, Maryland, New Jersey, Pennsylvania, and Virginia using data through water year 2022 At-site flood frequency estimates for 154 urban streamgages in Washington D.C. and parts of Delaware, Maryland, New Jersey, Pennsylvania, and Virginia using data through water year 2022
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
Metabolic Rate, Body Composition, Diet, Behavior, Blood Chemistry, Stable Isotope, Tri-axial Accelerometer, and GPS Locations of Grizzly Bears (Ursus arctos) on the North Slope of Alaska, USA, 2023 Metabolic Rate, Body Composition, Diet, Behavior, Blood Chemistry, Stable Isotope, Tri-axial Accelerometer, and GPS Locations of Grizzly Bears (Ursus arctos) on the North Slope of Alaska, USA, 2023
This data release includes 4 child items with data regarding metabolic rate, body composition, diet, behavior, blood chemistry, stable isotope, tri-axial accelerometer, and GPS locations of grizzly bears (Ursus arctos) on the North Slope of Alaska, 2023. Child Item 1: "GPS Location Data from Grizzly Bears (Ursus arctos) Instrumented on the North Slope of Alaska, USA, 2023" Child Item 2:...
Multi-proxy geochemical and sedimentological data from 20 short sediment cores collected along the Euphrates, Tigris, and Shatt al-Gharraf rivers in the lower Mesopotamian Plain, Iraq Multi-proxy geochemical and sedimentological data from 20 short sediment cores collected along the Euphrates, Tigris, and Shatt al-Gharraf rivers in the lower Mesopotamian Plain, Iraq
This data release presents multi-proxy geochemical and sedimentological data from 20 short sediment cores (ranging 50–70 cm in depth) collected in 2003 along the Euphrates, Tigris, and Shatt al-Gharraf rivers in the Lower Mesopotamian Plain, Iraq. The dataset includes X-ray fluorescence (XRF) elemental abundances, particle size distributions, visible and near-infrared spectrophotometry...
National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from various historical sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. Shorelines are compiled in a GIS and analyzed in the USGS Digital Shoreline Analysis System (DSAS) software to calculate rates of...