Data

This digital dataset contains the surface water operational data used for the Salinas Valley Operational Model (SVOM) including the time series data and the operational rules. While much of the input data is shared between the Salinas Valley Operational Model (SVOM) and the Salinas Valley Integrated Hydrologic Model (SVIHM), the SVOM has additional input data specific to the purpose and function o

The emergence of ophidiomycosis (or snake fungal disease) in snakes has prompted increased awareness of the potential impacts of fungal infections on wild reptile populations. Yet, aside from Ophidiomyces ophidiicola, little is known about other mycoses affecting wild reptiles. The closely related genus Paranannizziopsis has been associated with dermatomycosis in snakes and tuataras in captive col

We compiled time series of egg mass counts (an index of adult female abundance) from Rana boylii populations in 36 focal streams and fit a Multiple Population Viability Analysis (MPVA) model to quantify how streamflow metrics, stream temperature, and surrounding land cover affect population growth. In addition, data on streamflow, stream temperature, and surrounding land cover for each stream were

USGS scientists evaluated the utility of hidden Markov movement models to characterize seasonal movements of mule deer (Odecoileus hemionus) and pronghorn (Antilocapra americana) that were tracked with GPS collars in Wyoming, USA, during 2014-2021. Data include step lengths and turning angles for individual animals at daily time-steps throughout the tracking period. Models demonstrated distinct se

The data consists of targeted metabolite analysis (using quadrupole time-of-flight mass spectroscopy;UHPLC-QTOF-MS) of hemolymph from two freshwater mussel species (Lampsilis cardium and L. siliquoidea) from three streams in Indiana. Concentrations of metabolites were modeled by species, stream and sex to determine the influence of each parameter.

In 2021, the USGS 3D Elevation Program (3DEP) funded the collection of topo-bathymetric lidar (sometimes referred to as "green lidar") on the McKenzie River, Oregon. As part of this acquisition, lidar data were collected starting on the McKenzie River below Trail Bridge Reservoir and extending downstream roughly 125 km to its confluence with the Willamette River. Bathymetric lidar produced measure

This data release includes geochemical and fallout radionuclide data for suspended sediments and potential sediment source types for the Loutsenhizer Arroyo and Sunflower Drain watersheds in western Colorado. Suspended sediments were collected by passive samplers deployed in the stream channel of the watershed outlets during four study periods between August 2018 and August 2019. Potential sedimen

This U.S. Geological Survey (USGS) data release for the geologic map of the Arlington quadrangle, Carbon County, Wyoming, is a Geologic Map Schema (GeMS, 2020)-compliant version of the printed geologic map published in USGS Geologic Map Quadrangle GQ-643 (Hyden and others, 1967). The database represents the geology for the 35,776-acre map plate at a publication scale of 1:24,000. References: Hyde

The U.S. Geological Survey (USGS) National Extent Hydrogeologic Framework for National Water Census (NEHF) project is a multi-year effort (2022 through 2025) that will compile existing assets (approaches, data, software, etc.), develop a strategic plan, and implement an operational framework that is dynamic and multi-scale. Within the USGS, numerical groundwater-flow and solute- and heat-transport

These BioLake raster data provide global estimates (~10.0 x 12.4 km resolution) of twelve bioclimatic variables based on estimated lake temperature. Eleven of these twelve variables (BioLake01 - BioLake11) are estimated for each of three lake strata: lake mix (surface) layer, lake bottom, and total lake water column. These eleven variables correspond to CHELSA (Climatologies at high resolution for

Digestive tract contents were identified to provide an account of Burmese python diet. Diet contents came from 1716 pythons collected by cooperators during 1995-2020 from public and private lands across southern Florida, primarily within the Greater Everglades Ecosystem. Burmese pythons consumed 76 species of fauna across three taxonomic classes (Aves, Mammalia, and Reptilia). 

This data release contains areas within Delaware Bay and Delaware Inland Bays that are within tidal elevations, as determined by the Highest Astronomical Tide (HAT), but that are classified as non-tidal or managed wetlands by the National Wetlands Inventory (NWI) or as non-estuarine by the 2016 Coastal Change Analysis Program (C-CAP) land cover dataset. These areas have been assigned the classific