All Data

Adaptation to climate change, a complex problem that requires innovative and collaborative solutions, can be aided by connecting individuals and helping them take action. A number of new networks, projects, and collaborations in the Southwest, aimed at helping advance climate adaptation outcomes, have developed tools, toolkits, portals, platforms, guidebooks, and other resources aimed at...

Many ecological processes affect availability of winter dissolved oxygen (DO) concentrations in rivers, a key feature of overwintering fish habitat. Sediment oxygen demand (SOD) contributes to DO depletion, particularly during ice-covered periods, and may cause hypoxic conditions in backwater lakes, affecting availability of suitable overwintering habitat. Understanding drivers of SOD on...

California’s wildfires are setting historic records for length, size, and severity (Safford and others, 2022, Kreider and others, 2024). These wildfires are altering soil processes like infiltration rates and carbon cycling over increasingly large areas (Staley and others, 2017; Kelly and others, 2020; Baur and others, 2024; Dow and others, 2024). In northern California, it is unclear...

History matching of large hydrologic models is challenging due to data sparsity and non-unique process combinations (and associated parameters) that can produce similar model predictions. We developed an ensemble-based history matching and uncertainty quantification approach using an iterative ensemble smoother (iES) method for three cutouts of the National Hydrologic Model (NHM) and...

This digital dataset contains irrigation applications and consumptive use at the agricultural-field scale (average 173 acres) and twelve-digit watershed scale (HUC12) for four regions in the conterminous United States representing calendar years 2000-2020. Agricultural field-scale irrigation depths of applied groundwater and surface water for selected agricultural fields were compiled...

This dataset contains InSAR (Interferometric Synthetic Aperture Radar) time series data of the deformation state of Mauna Loa from 2015 to 2024. There are four total InSAR timeseries: A descending orbital perspective from 2015 to 2022 created using LiCSBAS (HI_filt_des.h5) A ascending orbital persepctive from 2015 to 2022 created using LiCSBAS (HI_filt_asc.h5) A descending orbital...

This data release contains shapefiles of hydrogeologic regions of the conterminous United States. The United States Geological Survey (USGS) is developing a National Extent Hydrogeologic Framework. In support of that effort, principal aquifers (PA) (USGS, 2003) and secondary hydrogeologic regions (SHR) (Belitz and others, 2018a) in the conterminous United States were combined into a...

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...