Data

The Mojave Plots Points data are 1,219 plot locations in the Central Mojave Desert where field data were recorded and photographs were taken from 1997-1999 to provide context for the classification of the Central Mojave Desert into various vegetation classes. The 1,219 plot locations in the plots points shapefile (plots_points.shp) are each assigned a unique identifier called the FinalPlotCode. T

Data was collected to characterize the conditions under which sagebrush occurs after seeding and wildfire in the Great Basin, and used to parameterize models used to explore adaptive seeding approaches. Data includes plot level field data on sagebrush occurrence, density, weather, and soil moisture conditions in the year that seeding after wildfire occurred. Weather data includes both average annu

These data were complied for the primary analysis underlying the results presented in the manuscript associated with these data (see Larger Work Citation). The data was collected from a 2015 survey of private party Grand Canyon boaters. The open document file contains 3 data sheets: 1) variables used in the Table 2 comparison of samples, 2) the core dichotomous choice contingent valuation question

This workbook contains spatial data on the hydrology, sedimentology, and vegetation extent within the Colorado River corridor from 60 to 78 miles (97 to 125 kilometers) downstream from Glen Canyon Dam, Arizona. In combination with the accompanying MATLAB scripts, these data were used to generate the results within the accompanying manuscript (Kasprak et al., Quantifying and Forecasting Changes in

These data were compiled to study the effects of severe drought and a concurrent large wildfire on a large population of southern Pacific pond turtles living in a rapidly drying lake. The study was done in collaboration with biologists from Ecorp Consulting in Santa Ana, California with funding from the Desert Tortoise Council. Data were collected in August and September of 2014. This worksheet co

These data were compiled to accompany flow modeling work on Kanab Creek near the mouth (USGS gage 09403850). The data include topographic data collected by a remote sensing detection light detection and ranging (LIDAR) system and surveying total station in June 2017, high water marks from six floods from 2011 to 2013, and control points and gage structures. Topographic data include ground topograp

These data are remote sensing image-based classification maps of unvegetated river-derived sand along the Colorado River. One map is based on imagery acquired in May 2013 and is a classification of sand located above the wetted river channel in the imagery which was acquired at the approximate contemporary low-flow river discharge of 8,000 cubic feet per second (227 cubic meters per second) and ex

This data release presents records collected from six automated weather stations in operation between January 1, 2014 and December 31, 2015 within the Colorado River Corridor of Grand Canyon National Park and Glen Canyon National Recreation Area. Data collection locations, equipment configurations and methods follow those of the original report (OFR 2014-1247). These files are 4-minute interval da

These data were compiled for investigating the relationship between acoustic backscattering by riverbeds composed of various riverbed substrates (bed sediment), and for developing and testing a probabilistic model for substrate classification based on high-frequency multibeam acoustic backscatter. The model is described in Buscombe et al. (2017). The data consist of various quantities on coinciden

This climate and vegetation index dataset was collected from readily available open source data, such as Landsat. The data represents points across the northern Colorado plateau. The vegetation type was defined based on U.S. Geological Survey ReGAP data. Using compositing techniques by season we developed a dataset of lag and legacy for each point. We could then look to understand how both lag and

In 2004 U.S. Geological Survey biologists recorded vegetation and biological soil crust (BSC) cover by species as well as measured soil stability and compaction data along 85 transects at the Badger Wash study area in western Colorado. Soil samples were collected and processed for chemistry and texture. Using analysis of variance and nonmetric multidimensional scaling (NMDS) we assessed the cover

These data were compiled to support effective conservation for species within Astragalus sect. Humillimi. Two species, A. cremnophylax var. cremnophylax and A. humillimus are federally listed as endangered taxa. The data provided herein were used to resolve the relationaships among taxa, the population structure within taxa, and genetic diversity within taxa. The data are provided in a STRUCTURE-f