Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
Filter Total Items: 912
Pennsylvania Groundwater Quality Monitoring Network Data Exploration Tool Pennsylvania Groundwater Quality Monitoring Network Data Exploration Tool
The Pennsylvania Groundwater Monitoring Network (GWMN) is a cooperative effort between the U.S. Geological Survey Pennsylvania Water Science Center and the Pennsylvania Department of Environmental Protection (PaDEP) that samples ambient groundwater quality wells throughout the State. Data collection has occurred since 2015 for major ions, trace metals, nutrients, and organic compounds...
USGS Model Catalog intake repository USGS Model Catalog intake repository
This project contains the repository component of a modular catalog implementation.
xstrm_local xstrm_local
This Python package is intended to assist with summarization of landscape information to stream watershed drainages (local summaries). Methods are built in a generalized way and are intended to support efforts for any stream network having polygon based drainage watersheds. The output of these methods can be used to calculate stream network summaries using xstrm.
lcp_centrality: Defining least-cost paths and graph theory centrality measures lcp_centrality: Defining least-cost paths and graph theory centrality measures
We present software that creates least-cost path spanning trees, a least-cost path minimum spanning tree, and graph theory centrality measures. The software was developed to support identification of population structures--specifically, greater sage-grouse (Centrocercus urophasianus), but also support other species or graph theory applications where least-cost paths are desired. We used...
North American Bat Monitoring Program: NABat Acoustic ML, Version 1.0.1 North American Bat Monitoring Program: NABat Acoustic ML, Version 1.0.1
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...
wqReport wqReport
This is an R-package designed to create water-quality reports for either U.S. Fish and Wildlife Service (FWS) wildlife refuge boundaries, or user-specified Hydrologic Unit Code (HUC) boundaries (8 or 10 digit HUC services are available). Functions are included to take the user's geographical request, and find the sites that measure water-quality parameters, and retrieve that data. A...
Code Release for USGS Chesapeake Bay Studies - Data Catalog Application Code Release for USGS Chesapeake Bay Studies - Data Catalog Application
Code and associated files hosted on USGS GitLab which support the USGS Chesapeake Bay Studies Data Catalog Application available at https://rconnect.usgs.gov/ChesapeakeBayDataCatalog/.
neic-traveltime neic-traveltime
Seismic travel-time lookup package utilized by the US Geological Survey National Earthquake Information Center.
MTH5: an archivable and exchangeable HDF5 format for magnetotelluric data MTH5: an archivable and exchangeable HDF5 format for magnetotelluric data
MTH5 is an exchangeable and archivable format for magnetotelluric time series to better serve the community through FAIR principles. MTH5 is an HDF5 data container for magnetotelluric time series data, but could be extended to other data types. This open-source Python package provides tools for reading/writing/manipulating MTH5 files.
MT-metadata: Open-source Python package to work with magnetotelluric metadata MT-metadata: Open-source Python package to work with magnetotelluric metadata
An open-source Python package to make reading/writing/editing magnetotelluric metadata easier.
Did You Feel It? Did You Feel It?
Did You Feel It? (DYFI) collects information from people who felt an earthquake and creates maps that show what people experienced and the extent of damage.
Predicting climate change impacts on poikilotherms using physiologically guided species abundance models Predicting climate change impacts on poikilotherms using physiologically guided species abundance models
R code and .stan files for fitting physiologically guided abundance models for predicting climate change impacts on poikilotherms.