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Software

An official USGS software project is code reviewed and approved at the bureau-level for distribution.

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mmlMRVAgen1, Source Code for Construction of Multiple Machine-Learning Models of Water Levels in the Mississippi River Valley Alluvial Aquifer mmlMRVAgen1, Source Code for Construction of Multiple Machine-Learning Models of Water Levels in the Mississippi River Valley Alluvial Aquifer

The mmlMRVAgen1 repository contains R, LaTeX, Mermaid, and Perl language source code that can be used for construction multiple methods of machine learning (MML) of water levels in the Mississippi River Valley alluvial aquifer (MRVA) within the Mississippi Alluvial Plain (MAP), south-central United States. The source code is written in R (primary and extensive), LaTeX (for structured...

wildcat 1.0.0 wildcat 1.0.0

Wildcat is a software tool to assess and map post-wildfire debris-flow hazards. The package can be run from the command line or within Python. This 1.0.0 release includes the core routines to: * Preprocess input datasets, * Design stream segment networks, * Estimate debris-flow hazards and rainfall thresholds, and * Export results to common GIS formats (such as Shapefiles and GeoJSON)...

Custom Wildlife Report Example for Sacramento National Wildlife Refuge 1.0.0 Custom Wildlife Report Example for Sacramento National Wildlife Refuge 1.0.0

The Custom Wildlife Report Example for Sacramento National Wildlife Refuge provides an approach for summarizing wildlife GPS data and creates tables, maps, and visualizations. Specifically, the Custom Wildlife Report Example for Sacramento National Wildlife Refuge, creates an interactive HTML report document that lets users interact with maps of waterfowl locations and filter and sort...

statsgo-cog 1.0.0 statsgo-cog 1.0.0

This release introduces the core statsgo-cog package. This package provides functions to convert soil data fields in the STATSGO archive from shapefiles to cloud optimized GeoTiffs (COGs). The package contains 3 main commands: * download: Downloads the STATSGO shapefile archive from ScienceBase * merge: Merges the shapefile archive into a single shapefile spanning all of the continental...

toxEval 4.1 toxEval 4.1

The toxEval R-package includes a set of functions to analyze, visualize, and organize measured concentration data as it relates to https://www.epa.gov/comptox-tools/toxicity-forecasting-toxcast or other user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological...

Lamprey Life Cycle Model Lamprey Life Cycle Model

Lampreys are an ancient group of fishes with complex life histories. We created a life cycle model that includes an R Shiny interactive web application interface to simulate abundance by life stage. This will allow scientists and managers to connect available demographic information in a framework that can be applied to questions regarding lamprey biology and conservation.

Media Metadata Editor Media Metadata Editor

This Python-based toolbox reads media (photo, audio, video) file locations, creates a metadata template CSV file, and uses the metadata template CSV file to embed metadata into the media files themselves. Created to function exclusively in ArcGIS Pro, the toolbox provides a GUI (graphical user interface) interface to complete functions without the need for Python coding or scripting...

EnergyStorageUQ R and JAGS code EnergyStorageUQ R and JAGS code

The EnergyStorageUQ repository of R and JAGS code provides JAGS models and an R workflow for analyzing energy storage capacity of gas reservoirs using material balance methods embedded in statistical models. The code contains tools for a workflow that includes fitting models, making predictions with uncertainty through Monte Carlo simulation, and visualizing the resulting material...

Code to evaluate the effect of the 2021 Dixie Fire on the occurrence of foothill yellow-legged frogs (Rana boylii) in northeastern California in 2022 Code to evaluate the effect of the 2021 Dixie Fire on the occurrence of foothill yellow-legged frogs (Rana boylii) in northeastern California in 2022

This repository contains code to fit a static occupancy model to time-to-detection data for foothill yellow-legged frogs (Rana boylii). This repository specifically contains code to reproduce analyses in: Halstead, B.J., Kleeman, P.M., and Rose, J.P., 2024, Using structural causal modeling to infer the effects of wildfire on foothill yellow-legged frog occurrence: Journal of Fish and...

Jackson Bison Population Projections Jackson Bison Population Projections

The aim of this software is to perform the simulations that evaluate the alternatives associated with the National Elk Refuge Bison and Elk Management Plan. In particular, it produces results associated with bison population dynamics, harvest, and conflict potential. For additional detail on the methodology and case study, please refer to: Cook, J.D., McEachran, M.C., Cotterill, G.G...

mlms---Multilevel Monitoring System (MLMS) data storage and processing for the U.S. Geological Survey Idaho National Laboratory Project Office mlms---Multilevel Monitoring System (MLMS) data storage and processing for the U.S. Geological Survey Idaho National Laboratory Project Office

Package used to store and process data from the Multilevel Monitoring System (MLMS) used in wells within the U.S. Geological Survey (USGS) aquifer-monitoring network at the Idaho National Laboratory (INL) in Idaho. Supported by the U.S. Department of Energy (DOE), the USGS collected discrete measurements of hydraulic head at various depths from wells in the eastern Snake River Plain...

Supporting material for Challenges and opportunities for data integration to improve estimation of migratory connectivity Supporting material for Challenges and opportunities for data integration to improve estimation of migratory connectivity

This is supporting code for the paper "Challenges and opportunities for data integration to improve estimation of migratory connectivity" by Jeffrey A. Hostetler, Emily B. Cohen, Christen M. Bossu, Amy L. Scarpignato, Kristen Ruegg, Andrea Contina, Clark S. Rushing, and Michael T. Hallworth in Methods in Ecology and Evolution. It allows the reader to run the simulations and case studies...
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