Data Releases

Synthetic earthquake deformation was imposed on high resolution (~0.5 m/pixel)orthoimagery and digital elevation models (DEMs) for two regions of the Garlock fault in the east and west. This repository contains the input and result rasters for the analysis, further described in Hanagan et al. (2025): "Effect of land cover type on 3D deformation recovery from synthetically deformed high...

Estimates of various low-flow statistics were computed at 45 ungaged stream locations throughout New Jersey during the 2024 water year using methods in the published reports, 1) Streamflow characteristics and trends in New Jersey, water years 1897-2003 (Watson and others, 2005) and 2) Implementation of MOVE.1, censored MOVE.1, and piecewise MOVE.1 low-flow regressions with applications...

The Michigan Mammal Monitoring Project is a collection of wildlife camera trap data from within the state of Michigan. It contains camera trap data associated with a number of different projects lead by the U.S. Geological Survey's Michigan Cooperative Fish and Wildlife Research Unit as well as data from all contributors within Michigan to already published Snapshot USA projects. These...

This dataset contains projected distributions for six non-native invasive tree and shrub species—autumn olive, bush honeysuckles, Callery pear, princess tree, privet, and tree-of-heaven—under four climate change scenarios, provided as ASCII (ASC) raster grids. Species distribution models were fitted using MaxEnt (Maximum Entropy) with occurrence data from EDDMapS and FIA and seven...

This dataset is a collection of TIFF file outputs from the forest dynamic model LANDIS PRO representing projections of the density and basal area for six invasive tree/shrub species under current climate conditions (avaraged from 1980-2009) in the Ozark region of the U.S. Midwest for the year 2050. The six species included in this study are autumn olive, bush honeysuckles, Callery pear...

This dataset compiles spatial occurrence and demographic information for six non-native invasive tree and shrub species—autumn olive, bush honeysuckles, Callery pear, princess tree, privet, and tree-of-heaven—across the eastern United States from 2000 to 2020. Occurrence points were obtained from the Early Detection and Distribution Mapping System (EDDMapS), and plot-level observations...

This USGS data release provides model setup files to simulate a hypothetical sublacustrine landslide in Lake Quinault and resulting tsunami waves.

The U.S. Geological Survey, in collaboration with seismologists from University of Kentucky, performed a 917-meter east-west oriented shear horizontal (SH)-wave seismic-reflection survey in the Wabash Valley Seismic Zone in southeastern Illinois. The resulting profile, named ML-2, images the near-surface geology underlying the Meadow Bank scarp, a roughly 10-km long northeast-oriented...

Stakeholder engagement is essential to successful development and implementation of products and services supporting emergency management. Governmental agencies often have a unique challenge of ensuring equitable stakeholder representation across large geographic, administrative, and topical areas. This project used stakeholder engagement to understand end-users needs concerning water...

This dataset contains multiple types of data characterizing phytoplankton in the Sacramento-San Joaquin Delta (California, USA). 1) Bright field microscopy was used to identify and enumerate phytoplankton community composition; 2) Epifluorescent microscopy was used to enumerate picophytoplankton (phytoplankton cells less than 2 microns in diameter) and, 3) a categorical visual index...

Blue Mesa Reservoir (Blue Mesa) is the largest storage reservoir in Colorado and is used for water supply and recreation. The reservoir consists of three distinct basins which are, moving from east to west, Iola, Cebolla, and Sapinero. This data release includes a wide variety of data collected to understand conditions that contribute to algal blooms in Blue Mesa. Data include...

This dataset provides posterior mean predicted rasters of the distribution of trace elements important to vertebrate health (cobalt, copper, iron, manganese, selenium, and zinc) in the soil across the conterminous United States. Rasters were generated using a Bayesian modeling framework implemented in R with the R-INLA framework (Integrated Nested Laplace Approximation) and the...