Data

Images were collected using a remotely piloted unoccupied aerial system (UAS) over the bluffs of the eastern shore of Lake Michigan in Ludington rural area, Mason County, MI. Images were collected in two separate surveys conducted on July 11, 2019, and July 14, 2021, using a DJI Phantom 3 and 4 PRO commercial UAS respectively operated by the University of Toledo. The images cover an...

Demographic look up tables allow the translation of a population growth rate, which is estimable from count data, to a set of vital rates parameterizing the birth and survival processes of the population. These tables are used in the BatTool R package to produce realistic simulations of population abundance trajectories given a range of population growth rates.

This R package was developed to help the USFWS understand the effects of wind turbine mortality and WNS on the Indiana bat. The model has been described in a peer-reviewd (and open access publication). The package includes both a GUI and command line interface. The GUI only works for Myotis spp., although the command line tool has been expanded for two other genera of bats: Lasiurus spp...

This study continues our investigations into the effects of lampricides on mussels by extending research into potential effects on behavioral and reproductive endpoints on the mussel plain pocketbook (Lampsilis cardium). We hypothesized that TFM and TFM:NIC would reduce the viability of free glochidia in a dose-dependent manner, that older glochidia would be more sensitive than younger...

Aerial thermal imagery was collected over the Central Platte River Valley, Nebraska, USA. Bounding box annotations were manually created for the purpose of machine learning tasks to automate the detection of sandhill cranes. Mosaicking of the thermal imagery was complete to assemble the individual images into a single, geo-referenced image.

This U.S. Geological Survey data release consists of 3 raster datasets representing estimates of probability of ignition (ProbIgnitPredict.tif), fire frequency (FrequencyPredictRF.tif), and burn severity (dNBRPredictRF.tif) in the Mojave Desert from 1984 to 2010. The data include: (1) A shapefile of the Mojave Desert that was used as our study area boundary (MojaveEcoregion_TNS_UTM83.shp...

This project includes field data and data supporting models of the Missouri River at Sheepnose (SN) bend, near Lexington, Missouri. Field datasets include a topobathymetric digital elevation model (DEM) for a 10-km reach of the Missouri River, repeat surveys of channel bathymetry from 2019-2021, water surface elevation profiles, velocity data collected with acoustic Dopper current...

Survival and size of mayflies at each life stage, as well as MeHg concentrations in diatoms and mayflies exposed to low and high MeHg concentrations and a range of selenomethione (SeMet) concentrations.

Three synoptic sampling campaigns were conducted on upper Cement Creek, near Gladstone, Colorado, under low-flow conditions. The first campaign, conducted October 2012, was part of a larger campaign to characterize low-flow water quality in the entire Cement Creek watershed. The second campaign, conducted in September 2019, was designed to quantify metal loading and identify sources of

We provide a collection of data reflecting estimates of soil-climate properties (moisture, temperature, and regimes) based on climate normals (1981-2010). Specifically, we provide estimates for soil moisture (monthly, seasonal, and annual), trends of spring and growing season soil moisture (Theil-Sen estimates), soil temperature and moisture regimes (STMRs; discrete classes defined by...

We developed a software framework to estimate high-resolution spatiotemporal soil moisture (monthly, annual, and seasonal) and temperature-moisture regimes. Our approach builds on the Newhall simulation model, allowing for the substitution of data and parameters, such as climate, snowmelt, soil properties, alternative potential evapotranspiration equations, and air-soil temperature...

This software involves R script to fit models of abundance of mosquito vectors (' Script_for_ECS22-0193_9_13_2215.R') to landscape and environmental covariates using INLA and SPDE. The dataset used for this analysis were originally provided by the Pennsylvania Department of Environmental Protection (DEP) with a confidentiality agreement. The majority of the data used in this study...