Software

nshmp-lib is a USGS developed Java library that supports probabilistic seismic hazard (PSHA) and related analyses. This project includes all the code required to load, process and query USGS National Seismic Hazard Models (NSHMs). nshmp-lib is used by command line applications and web services found in the nshmp-haz project. See that project for running PSHA calculations.

This DOI points to the code repository for codes used in David C. Wilson, Emily Wolin, William L. Yeck, Robert E. Anthony, Adam T. Ringler; Modeling Seismic Network Detection Thresholds Using Production Picking Algorithms. Seismological Research Letters 2021; 93 1: doi: https://doi.org/10.1785/0220210192

Geologic slip rates are a time-averaged measurement of fault displacement calculated over 100s- to 1,000,000-year time scales and are a primary input for probabilistic seismic hazard analyses (PSHA), which forecast expected ground shaking in future earthquakes. Despite their utility for seismic hazard calculations, longer-term geologic slip rates represent a time-averaged measure of the...

We have developed a new three-dimensional seismic velocity model of the central United States (CUSVM) that includes the New Madrid Seismic Zone (NMSZ) and covers parts of Arkansas, Mississippi, Alabama, Illinois, Missouri, Kentucky, and Tennessee (Ramirez Guzman et al, 2012). The model represents a compilation of decades of crustal research consisting of seismic, aeromagnetic, and...

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.

lsforce is a Python-based single-force seismic inversion framework for massive landslides.

A repository of all geologic fault section data included in USGS National Seismic Hazard Models

This set of utilities is used to extract geophysical information from the NCM (Boyd, 2020) including, for example, S-wave, P-wave, and density profiles, as well as attributes for ground motions models including VS30, Z1.0, and Z2.5. Running the code in either MATLAB or Python requires all of the NCM databases (https://doi.org/10.5066/P9T96Q67).

NEIC Machine Learning Applications contains various seismic machine learning algorithms developed and used by by the United States Geological Survey, National Earthquake Information Center. These algorithms apply machine learning techniques to seismic processing problems such as seismic phase classification, source-receiver distance classification, and seismic wave arrival time repicking...

This set of utilities is used to extract temperature profiles and maps from the NCM thermal model (Boyd, 2019). Running the code requires the NCM thermal model, NCM_TemperatureGrids.nc (https://doi.org/10.5066/P935DT1G), and the NCM spatial grid, NCM_SpatialGrid.nc (https://doi.org/10.5066/P9SBQENM). These codes and datasets are part of an effort to produce a three dimensional national...

This set of utilities is used to extract geologic profiles from the NCM geologic framework (Boyd, 2019). Running the code in either MATLAB or Python requires the NCM geologic framework and related databases, NCM_GeologicFrameworkVolume.nc, NCM_GeologicFrameworkGrids.nc, and NCM_SpatialGrid.nc (https://doi.org/10.5066/P9SBQENM). These data and codes are part of an effort to produce a...

Magnetotelluric impedances and other similar transfer functions are important for geophysical interpretation and for space weather hazards. I helped develop and continue to curate a database known as IRIS EMTF, http://ds.iris.edu/spud/emtf which uses something called EMTF XML format for storing the data. EMTF FCU v4.1 software consists of a set of freely available format conversion tools...