Data

This software contains four separate R scripts and one Matlab script that comprise an analysis to estimate the posterior probability of pathogen presence when sample misclassification and partial observations occur. We develop a Bayesian hierarchal framework that accommodates false negative, false positive, and uncertain detections and apply this framework to a case study of the fungal...

This Data Release contains field topo-bathymetric survey data in a selected saltmarsh shoreline along Gandys Beach, New Jersey, where constructed oyster reefs (CORs, aka oyster castles) were installed to protect the shoreline and enhance habitat for oyster and other species. Oyster castles were constructed as a part of a living shoreline project along Gandys Beach in 2016 in response to...

This geospatial data set contains groundwater level contours, well locations, and associated metadata that characterize the potentiometric surface near the Rondout pressure-tunnel in High Falls, New York during November 5–7, 2019, and January 21–22, 2020. The pressure tunnel was shut down and partially dewatered for 74 days from November 11, 2019, to January 23, 2020, for inspection and...

This data release includes data and metadata containing estimated and predicted locations of radio telemetered Hawaiian forest birds. Radio telemetry data was collected using an automated radio telemetry network from 2014 to 2019 from birds in two study sites, one a continuous forest and the other a fragmented forest. Four bird species that varied in age and sex were studied: the...

Wildfires and housing development have increased since the 1990s, presenting unique challenges for fire management. However, it is unclear how the relative influences of housing growth and changing wildfire occurrence have contributed to risk to homes. We fit a random forest using weather, land cover, topography, and past fire history to predict burn probabilities and uncertainty...

Wildland-urban interface (WUI) maps identify areas with wildfire risk, but they are often outdated due to the lack of building data. Convolutional neural networks (CNNs) can extract building locations from remote sensing data, but their accuracy in WUI areas is unknown. Additionally, CNNs are computationally intensive and technically complex making it challenging for end-users, such as...

This release includes data and metadata (1-2) documenting visitation of ambrosia beetles (Coleoptera: Curculionidae) to healthy ʻōhiʻa (Metrosideros polymorpha) trees in two separate experiments, (3) geographical location and details of the trees used in the experiments, (4) culture of the fungal pathogens Ceratocystis lukuohia and Ceratocystis huliohia from naturally and experimentally...

Fish collected for taxonomic and systematic purposes are often preserved and then archived in museum collections. Preserved fish are commonly first fixed in a formalin solution and then transferred to ethanol for long-term storage. The wet preservation method can potentially introduce mercury (Hg) contamination or unintentionally extract Hg from tissue. An experiment was designed to test...

Grouse: These data on sharp-tailed grouse survival times are provided for individuals wanting to run an age-period survival analysis. Entry and exit times are expressed in integer days from the start of the study. Entry age and exit age expressed in integer days are also included. Data are structured to implement survival analysis. White-tailed Deer: These data on white-tailed deer...

Code will be submitted to the Dryad repository upon acceptance of the manuscript. These R code are used for simulations and case studies. Simulations include data for generating age-period survival data. We have provided code for each of the 10 models that were fit using NIMBLE, where each model has four R scripts including: 1) A script to execute and run all the additional R scripts for...

Code submitted to Journal of Environmental Management and ScienceBase for running Bayesian hierarchical models on a dataset that was collected using expert elicitation of a panel of 15 experts on the etiology of stony coral tissue loss disease and its impacts on coral reefs. The code is for a rapid prototyping method for quantifying belief weights for competing hypotheses about the...

The Maumee River transports huge loads of nitrogen (N) and phosphorus (P) to Lake Erie. The increased concentrations of N and P are causing eutrophication of the lake, creating hypoxic zones, and contributing to phytoplankton blooms. It is hypothesized that the P loads are a major contributor to harmful algal blooms that occur in the western basin of Lake Erie, particularly in summer...