Software

Bats play crucial ecological roles, and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North American Bat Monitoring Program (NABat) aims to assess status and trends of bat populations, while developing innovative and community-driven conservation solutions using its unique data and technology infrastructure. To support scal

Decisions related to controversial problems in natural resource management receive the greatest support when they account for multiple objectives of stakeholders in a structured and transparent fashion. In the United States, management of feral horses (Equus caballus) is a controversial multi-objective problem because disparate stakeholder groups have varying objectives and opinions about how to m

SolVES is a tool for modeling and mapping social survey response data in relation to explanatory environmental variables. SolVES 4.0 was developed as open-source software with Python and uses the free software packages QGIS for its user interface and PostgreSQL spatially enabled by PostGIS for its source database. Updates to the previous version include minor changes to the source database and use

USGS BiblioSearch is a python tool that performs literature searches across multiple citation databases via APIs or other web services in Python. The tool provides a quick method to query keywords and clean and compile results. Currently, the software includes methods to search four databases - Clarivate Web of Science, Elsevier Scopus, USGS Publications Warehouse, and USGS ScienceBase.

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

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,

This R file estimates horse abundance by analyzing data from simultaneous double-observer aerial surveys. The code follows analytical procedures established by Dr. Bruce Lubow, the statistician contracted for many years by Bureau of Land Management (BLM). Field data collection techniques are described in the Standard Operating Procedures (SOPs), which is a separate document. Download the files

The software "popcluster" constructs hierarchically nested groupings of similar habitats associated with field surveys while considering biological structure/connectedness (movements between habitats). This approach can support mobile species with high site fidelity where monitoring during surveys occurs on birthing grounds, breeding grounds, or stopovers/seasonal habitat for migratory species. Ea

The Geospatial Route Interface Tool (GRIT) is a Microsoft Windows desktop, graphical user interface application, written in an open source programming language (Python) that references ESRI Geographic Information System (GIS) python functions. The software streamlines and refines the process of analyzing transportation data and natural resources data, thereby improving the efficiency and standardi

The USGS Crustal Geophysics and Geochemistry Science Center (CGGSC) collaborated with the USGS Data at Risk (DaR) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Parkfield, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now CGGSC, between 1989 and 1994. The magnetotelluric data selected for this pres

The MetadataWizard is a tool designed to facilitate CSDGM metadata creation for spatial and non-spatial data sets. It is a cross-platform desktop application built using an open-source Python architecture. Complete user documentation available at: https://doi-usgs.github.io/fort-pymdwizard/