Software

The National Streamflow Statistics (NSS) Application is an online computer application that provides a simple method for applying regional flood-peak streamflow estimates and low flow frequency/duration streamflow estimates.

The establishment of an efficient aquifer water-quality aquifer monitoring network is a critical component in the assessment and protection of groundwater quality. A periodic evaluation of the monitoring network is mandatory to ensure effective data collection and possible redesigning of existing network. This package assesses the efficacy and appropriateness of an existing water-quality aquifer m

Source code to run Shiny app of North American bat SARS2 risk model during winter fieldwork

Python package software release for pyGSFLOW. pyGSFLOW is a python package to create, read, write, edit, and visualize GSFLOW models. Source code, examples, installation instructions, and documentation can be found at https://github.com/pygsflow/pygsflow

The code included in this package, when combined with data retrieved from an associated ScienceBase archive, is designed to allow for reasonable monthly total and baseflow volumes to be estimated at arbitrary locations within the Mississippi Embayment as part of the Mississippi Alluvial Plain (MAP) Project. The resulting surface water volume estimates were used as inputs to associated groundwater

Greater sage-grouse (Centrocercus urophasianus) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the western United States. They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of the United States. Sage-grouse are one of the most closely monitor

Elevation-change datasets can also be used to identify stable and unstable areas of the seafloor. The Multi-grid Analysis of Point Stability (MAPS) program was created to automate this process. This program is used to locate persistent areas of user-defined seafloor stability and/or instability at common geographic locations from multiple elevation-change datasets (grids) representing different ti

MetaIPM is a Python package (Python Software Foundation 2020) that models meta-population dynamics and continuous growth rates via an integral projection model (IPM) for species living in distinct habitat patches. The package stems from a model that compares invasive carp population control strategies. The package supports differing sex and any organisms living in distinct habitat patches.

gfail_lifelines is a package for estimating lifeline impacts caused by earthquake-triggered ground failure. It currently contains one module, gfroads, that combines the USGS earthquake-triggered landslide model (the Nowicki Jessee et al. 2017 model) estimates of areal coverage with Open Street Map roads to estimate the probability of a given road segment being affected.

The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to transform complex scientific data into meaningful information about the risk of adverse effects of runoff on receiving waters, the potential need for mitigation measures,

The North American Bat Monitoring Program: R Data Connection Package can be used to extract and upload data to the NABat Monitoring Program through the GQL API. This software is written as a wrapper around the NABat GQL API. Documentation for the database and API can be found at https://sciencebase.usgs.gov/. This code includes the ability to reformat NABat data, upload NABat data, create reports,