Software

Official version 1.1.0 software release of the Groundwater-Nitrate Decision Support Tool (GW-NDST) for Wisconsin. This release (v1.1.0) is matched with and described by Juckem, P.F., Corson-Dosch, N.T., Schachter, L.A., Green, C.T., Ferin, K.M., Booth, E.G., Kucharik, C.J., Austin, B.P., and Kauffman, L.J., 2024, Design and calibration of a Nitrate Decision Support Tool for Groundwater...

This version 1.1.2 release of the Groundwater Nitrate Decision Support Tool (GW-NDST) for Wisconsin supersedes the version 1.1.1 release. This version 1.1.2 release includes updated instructions in the readme file and fixes minor bugs.

This package facilitates the analysis and evaluation of hydrologic model streamflow output during periods of drought. This package calculates the Cohen's Kappa, Spearman correlation coefficient, ratio of standard deviation, percent bias, normalized mean absolute error (NMAE) in the annual time series of drought duration, NMAE in the annual times series of the distance the minimum...

This software was used to make derivatives of the features in the NHDPlusV2 geospatial dataset for use in hydrologic model applications. It is not intended for users to deploy/use and may produce unexpected results outside the workflow and environment in which it was implemented. For users seeking to deploy a version of this software, please see https://github.com/noaa-owp/hydrofab. The...

There is a need for water professionals to provide water information in maps and graphics that contextualize data for real-time decision-making. hyswap (HYdrologic Surface Water Analysis Package), is a Python package that provides a set of functions for manipulating and visualizing USGS water data. Specifically, a number of functions for calculating statistics (e.g., exceedance...

Invasive species are a major cause of biodiversity loss and are notoriously expensive and challenging to manage. We developed a decision-analytic framework for evaluating invasive species removal strategies, given objectives of maximizing eradication probability and minimizing costs. The framework uses an existing estimation model for spatially referenced removal data – one of the most...

The infoGWauxs package in the R language provides auxiliary methods for data merging, duplicate-record removal, and monthly rollup of groundwater levels in the so-called infoGW or GWmaster data objects. These data structures are particularly well suited for statistical analyses of groundwater levels. This package is part of a greater body of data processors oriented around the infoGW...

The inldata package is a collection of analysis-ready datasets for the U.S. Geological Survey - Idaho National Laboratory (USGS-INL) groundwater and surface-water monitoring networks, administered by the USGS-INL Project Office in cooperation with the U.S. Department of Energy. The data collected from wells and surface-water stations at the Idaho National Laboratory and surrounding areas...

This tutorial demonstrates how users can access Landsat data stored within the AWS Cloud environment using basic commands. Landsat data stored in the AWS Cloud is located within the U.S. West (Oregon) us-west-2 region in a Requester Pays Simple Storage Services (S3) bucket. Users interested in utilizing direct access to Landsat data stored in S3 are encouraged to visit the Requester Pays

The Spatio Temporal Asset Catalog (STAC) family of specifications standardizes the way geospatial metadata is structured to better enable data querying. The United States Geological Survey (USGS) utilizes STAC to better enable the search and discovery of Landsat data by providing STAC metadata for every Landsat data product accessible through the Amazon Web Services (AWS) cloud platform...

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...

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.