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All Data

Explore all data by the topics and refine type to find the digital information in a format suitable for direct input to software that can analyze its meaning in the scientific, engineering, or business context for which the data were collected.

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Mountain goats (Oreamnos americanus) in Glacier National Park, Montana, USA, and Waterton Lakes National Park, Alberta, Canada, 2008-2023 Mountain goats (Oreamnos americanus) in Glacier National Park, Montana, USA, and Waterton Lakes National Park, Alberta, Canada, 2008-2023

Dataset includes a) counts of mountain goats for multiple surveys across 37 sites inside Glacier National Park 2008-2019, along with biotic and abiotic conditions used in analysis of trend including snow, precipitation, temperature, landcover and habituation; b) predicted numbers of goats using each survey area; and c) microsatellite genotypes for goat pellet samples collected 2019-2023...

Validation of gridded precipitation datasets for flood-typing in six basins in the contiguous U.S. Validation of gridded precipitation datasets for flood-typing in six basins in the contiguous U.S.

The U.S. Geological Survey (USGS) and the U.S. Army Corps of Engineers (USACE) are collaborating with the U.S. Federal Emergency Management Agency (FEMA) on improving flood-frequency analysis methods to account for mixed populations arising from different flood causal mechanisms. Precipitation data at different timescales are widely used in flood-typing studies. Various gridded...

Inputs and outputs of 3D point-cloud comparisons (M3C2) from repeat bathymetric and topographic surveys from 2019 – 2022 of the French Broad River, Asheville, NC Inputs and outputs of 3D point-cloud comparisons (M3C2) from repeat bathymetric and topographic surveys from 2019 – 2022 of the French Broad River, Asheville, NC

This data release provides the input and output datasets used to inform geomorphic change detection (GCD) analyses from repeat streambank and streambed surveys of a one-kilometer reach of the French Broad River (FBR) where the NCDOT initiated a highway widening and bridge construction project in 2020 near Asheville, North Carolina (Whaling, 2023a–d; Whaling and Wagner, 2021; Whaling and...

Digital elevation models with elevation uncertainty treatment, Grand Bay Estuary, Mississippi, 2015 - 2022 Digital elevation models with elevation uncertainty treatment, Grand Bay Estuary, Mississippi, 2015 - 2022

This data release includes outputs that were created using Monte Carlo simulations with the aim to reduce elevation overestimation in coastal wetlands at Grand Bay, MS. We evaluated the performance of coastal wetland elevation refinement by using bare earth digital elevation models (DEMs) and DEMs created from the last return from the light detection and ranging (lidar) point cloud...

Code and outputs for a mallard reproduction model incorporating migration delays and reduced adult body mass Code and outputs for a mallard reproduction model incorporating migration delays and reduced adult body mass

These data are outputs from a mallard (Anas platyrhynchos) reproduction model that accounts for breeding ground arrival time and the body mass of individuals. Specifically, adult female mallards that arrive late or with lower body mass have the potential for lower clutch sizes and are less likely to renest if a nest fails. The model is based on an existing mallard reproduction model that...

CoSMoS-AK Modeled flood and erosion hazards at Golovin- Coastal Alaska CoSMoS-AK Modeled flood and erosion hazards at Golovin- Coastal Alaska

This data release consists of flood hazard maps from compound coastal hazards--specifically sea-level rise (SLR) and projected coastal storms. Products include projected flood depths, flood extents including uncertainties, water elevations, wave heights, velocity hazard, and erosion and sedimentation pattern. These are generated using a suite of numerical models driven by outputs from...
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