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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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InQUIRI

This standalone software application provides an integrated set of tools for inferring river discharge Q from remotely sensed data based on critical flow theory, a method introduced by Legleiter et al. (2025). This approach can yield accurate streamflow estimates in rivers with well-defined standing wave trains, referred to as undular hydraulic jumps (UHJ's). Once an image with clearly...

SURF - Seismicity Utilized for Reconstructing Faults - Python Package

SURF is an algorithm to generate 3D fault models. This algorithm utilizes open-source, well known and documented packages, to generate fault models that require very few user input parameters.

Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design

Land managers seek to understand whether treatments they implement effectively achieve their goals to support, or at least not negatively impact, species of concern. This power analysis identifies minimum data collection needs to estimate treatment impacts when baseline species community information is lacking, and when there is significant risk of violating the species exchangeability...

Code for Doe diligence: A regional analysis of antlerless deer harvest regulations in the Midwestern United States of America

This code uses Nimble to run a Bayesian hierarchical model using both linear and nonlinear features. The model assesses the effects of various changes in white-tailed deer (Odocoileus virginianus) harvest regulations on realized annual antlerless harvest. Eight states participated in this analysis and all data was unified to a common definition through extensive consultation with experts...

ezMCDA: An Interactive Dashboard for Multi-Criteria Decision Analysis

ezMCDA is a user-friendly software to conduct Multicriteria Decision Analysis (MCDA) while considering uncertainty and nonlinear utility functions.

Evaluation of CONUS404 simulations of precipitation, temperature, and net radiation in the Delaware River Basin

This product is a series of Jupyter Notebook tutorials that are designed to help researchers preprocess data and statistically compare modelled and observational precipitation, temperature, and radiation data. The first notebook walks researchers through setting up their environment, important concepts, querying data sources, and filtering their data to the same temporal and spatial...
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