Data

This software release contains several R scripts that generate epidemic projections of SARS-CoV-2 in white tailed deer populations using a Susceptible-Infected-Recovered-Susceptible (SIRS) modeling framework. We provide a workflow of vignettes used in Rosenblatt et al. In Prep and Cook et al. In Prep. Users are able to specify transmission parameters for human-deer and deer-deer...

Herein we present a simulation model to predict future prey and hunter populations in a stochastic population simulation model. In the simulation script the two populations (prey and hunters) are linked through feed back functions, where the hunters can affect the prey abundance through harvest rate and harvest success functions, and the prey affects hunter population retention and...

We present two change-point models for identifying singular changes in movement behavior: a location-based change-point model (LCPM) and a movement metric-based change-point model (MMCPM). This software includes R scripts to: 1) run both the LCPM and MMCPM on telemetry data in a Bayesian hierarchical framework using NIMBLE (mmcpm.R and lcpm.R), 2) generate realistic movement behavior...

Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy that was first detected in captive cervids in Colorado, United States (US) in 1967, but has since spread into free-ranging white-tailed deer (Odocoileus virginianus) populations across the US and Canada. In some areas, the disease is considered endemic in wild deer populations, and governmental wildlife agencies...

R code for data prep, processing, and population analysis associated with manuscript of same title.

Data fall into three types: 1) individual snake scanning data (PIT tag ID, time stamp, and device) downloaded from readers, 2) individual trait data (sex, size, etc) of tested brown treesnakes, and 3) detailed transcripts of videos of behavioral trial data as snakes interacted with the readers. All data were collected in an experimental arena in Dededo, Guam in August 2021.

This data release presents calculated accumulated wastewater (ACCWW, as a percent of total streamflow) values for 43 National Hydrologic Dataset Version 2.1 (NHDPlus V2.1) stream segments coinciding with long-term smallmouth bass sampling locations (Table 1) in the Shenandoah River Watershed (encompassing parts of Virginia and West Virginia, USA). Values are calculated for quarter-year...

Remote cameras (“trail cameras”) are a popular tool for non-invasive, continuous wildlife monitoring, and as they become more prevalent in wildlife research, machine learning (ML) is increasingly used to automate or accelerate the labor-intensive process of labelling (i.e., tagging) photos. Human-machine hybrid tagging approaches have been shown to greatly increase tagging efficiency (i...

The Habitat Risk Software leverages a previously published Bayesian hierarchical model framework (Clayton and Kaldor 1987; Banderjee et al. 2004; Gelman et al. 2004; Evans et al. 2016) with opportunistic (hunter-harvest) wildlife surveillance disease testing data and publicly available geospatial (raster) data to estimate the geographical risk that a hunter will harvest a white-tailed...

Abundance, richness, diversity, community composition, and functional traits of ants in the Mojave Desert relative to solar energy development decisions

Understanding how species are distributed in both space and time is a central question in ecology. Seemingly simple questions such as “How many individuals live in a particular patch?”, “Is a patch occupied by a target species?”, “How many species are there?”, and “what factors shape these pattern?” are questions routinely asked by ecologists. The tutorials in occupancyTuts will...

R code to test for differences in DNA yield from of eight sample categories to gain insights into which provided adequate DNA to be used in ddRADseq or already developed SNP panels. We calculated mean, median and standard deviation with package psych using the describe() function. Additionally, we generated boxplots using package ggplot2 where the quantity for each tissue sample is...