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Digital elevation models, orthophotos, and differencing results to analyze the effect of land cover type on 3D deformation recovery from synthetically deformed high-resolution satellite optical imagery Digital elevation models, orthophotos, and differencing results to analyze the effect of land cover type on 3D deformation recovery from synthetically deformed high-resolution satellite optical imagery
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...
Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2024 Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2024
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...
Michigan Mammal Monitoring Project 2025 Michigan Mammal Monitoring Project 2025
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...
Projected Distribution of Six Invasive Species Under Four Future Climate Scenarios (2050) Projected Distribution of Six Invasive Species Under Four Future Climate Scenarios (2050)
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...
Forest Dynamic Model Predictions of Density and Basal Area of Six Invasive Species Across the Ozark Region of the U.S. Midwest under Current Climate (2050) Forest Dynamic Model Predictions of Density and Basal Area of Six Invasive Species Across the Ozark Region of the U.S. Midwest under Current Climate (2050)
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...
Spatial Occurrence and Demographic Points of Six Non-Native Invasive Species across the Eastern US (2000-2020) Spatial Occurrence and Demographic Points of Six Non-Native Invasive Species across the Eastern US (2000-2020)
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...