Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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Otter Creek pre-restoration orthomosaic and elevation products, Toledo, Ohio, September 2022 Otter Creek pre-restoration orthomosaic and elevation products, Toledo, Ohio, September 2022
The orthomosaic, digital surface model and point cloud presented here document conditions at Otter Creek in Toledo, Ohio in September 2022, prior to planned ecological restoration. Images were collected using a 3D Robotics Solo aircraft with GNSS GPS upgrade, Mission Planner software, and a Pentax Ricoh GRII 3-band digital camera sensor. Imagery acquisition flights were approximately 400...
Osprey Reproduction in vicinity of the Choptank and Chester Rivers in 2025 Osprey Reproduction in vicinity of the Choptank and Chester Rivers in 2025
Nest number, description of nest structure and location, longitude, latitude, dates of observations, presence of adults, eggs, nestlings, outcome of reproductive effort, number of young fledged, body weight and culmen length of some nestlings, and osprey nest platforms occupied by Canada geese.
High frequency and region-scale simulations of large (Mw7+) earthquakes on the southern Whidbey Island fault, Washington, USA High frequency and region-scale simulations of large (Mw7+) earthquakes on the southern Whidbey Island fault, Washington, USA
This dataset consists of 3-component velocity time-series that describe ground shaking from simulated Mw7+ earthquakes on the southern Whidbey Island fault in Washington state. These were produced in support of the research project described in Stone et al. (2025) "High frequency and region-scale simulations of large (Mw7+) earthquakes on the southern Whidbey Island fault, Washington...
Shapefiles of Digitized Backwater Extent Behind Willwood Dam on the Shoshone River, near Cody, Wyoming Derived from 2012, 2015, 2017, 2019, and 2022 National Agriculture Imagery Program Imagery Shapefiles of Digitized Backwater Extent Behind Willwood Dam on the Shoshone River, near Cody, Wyoming Derived from 2012, 2015, 2017, 2019, and 2022 National Agriculture Imagery Program Imagery
The Wyoming-Montana Water Science Center, in cooperation with the Wyoming Department of Environmental Quality, digitized layers to determine the backwater extent behind Willwood Dam on the Shoshone River near Cody, Wyoming from 2012, 2015, 2017, 2019, and 2022 National Agriculture Imagery Program (NAIP) imagery. Digitizing layers of water extents behind Willwood Dam through time allows...
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...