Software

The RESTORE/TCEQswqmisESTUSAL repository contains R language source code that can be used for digesting data retrieved from the Texas Commission on Environmental Quality Surface Water Quality Monitoring Program through their Surface Water Quality Data Viewer. The workflow described concerns data manipulations, base data filtering, and computations towards documenting long-term salinity change (par

pfdf: A Python library to facilitate post-wildfire debris-flow hazard assessments and research. This release provides the core functionality needed to implement operational hazard assessments. This includes tools to: * Analyze watersheds * Delineate and filter stream segment networks * Compute earth-system variables for stream segments in a network * Assess debris-flow probabilities using the mo

This project aimed to find connections between step-selection functions (SSFs) and partial differential equation models of animal movement and, in doing so, improve the flexibility of SSFs. Please see the associated manuscript cited above for further details.

This spreadsheet enables statistical and visual wiggle-matching of sequential radiocarbon ages from a tree-ring chronology to the IntCal20 calibration curve. It will calculate and plot an optimal fit of the samples to the calibration curve and the user can then incrementally move the wiggle-match in time to see the effect in both goodness-of-fit statistics and visually on a graph. This is useful w

Flathead Catfish _Pylodictis olivaris_ are a prominent aquatic invasive species within the United States and a recent invader in the Susquehanna River Basin, Pennsylvania. Flathead Catfish are piscivores known to consume native and recreationally important fish species. In the northeastern United States, it is unknown how this invader is impacting food webs and which species may be at greatest pre

The RESTORE/makESTUSAL software repository contains R language source code that can be used for the construction of various statistical models and output time series of predicted daily salinity coastal regions of the Gulf of Mexico, United States. The source code is expansive, and the repository is organizationally deep following logical organization units. One major subsystem of the repository is

It is convenient to measure or estimate variation in samples or distributions in units of standard deviations. There are alternative methods of estimation of standard deviation aside from the conventional and well-known definition. Estimation of standard deviation for very small samples (as small as two), whereas not always ideal, might be useful in certain practical circumstances. A simulation st

Statistical predictions that are based on multiple machine learning (MML) methods (from including differing training regimes) produce differing predictions. When the predictions are combined to a final estimate, then there are residuals of the predictions spread around the final estimate. It is common to assume normality or near-normality of the residuals (errors), but the assumption of normality

A groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST was reviewed and approved by the journal via this official USGS appr

This software compares statistical methods to model habitat risk of CWD in white-tailed deer in Pennsylvania using Bayesian hierarchical models in R-INLA and compares these results with model output from WinBugs. The software also uses R-INLA with the Stochastic Partial Differential Approach (SPDE) to compare different surveillance methods to model CWD in relation to habitat features and age and s

Oxygen depletion events (hypoxia) in coastal aquatic ecosystems occur more frequently, yet their causes and consequences remain poorly understood. We identified key drivers of hypoxia in Southeast Alaska watersheds for long-term hypoxia monitoring. This software release contains one R script that can be used to calculate hypoxia risk from environmental variables. This R code will re-create Figure

Code release for a statistical framework that provides a solution to overcome institutionally siloed monitoring activities in order to inform species conservation across large landscapes. Stan code and documentation to provide access and adaptation for other wildlife disease applications.