Software

This product contains Jupyter Notebooks demonstrating how to retrieve, process, and analyze USGS analysis ready data (ARD) using Python. The purpose of these examples is to introduce novice Python users to real-life earth science data workflows. The examples include using the data retrieval package to pull NWIS data, pulling NOAA NOS CO-OPs water level data to visualize hurricane Helene...

Ursa is a python tool for the setup, management, and analysis of postfire debris-flow runout simulations. Ursa provides (1) a set of python functions that accomplish each phase of a hazard assessment workflow and (2) a Snakemake snakefile that uses the python functions to run the entire workflow. Ursa is intended as a flexible tool for a particular purpose. It is not intended as a...

This repository contains code and data used to analyze the influence of initial condition uncertainty on model simulations of ecosystem carbon dynamics in the U.S. state of California.

A Python API for efficient reformatting and quality assessment of binary waveforms and metadata from USGS rapid-response ocean-bottom seismographs (RROBS). Primary features: 1. Waveform data: Reads binary waveform data into obspy.Stream objects, providing full ObsPy functionality, including writing to common seismic data formats (e.g., MiniSEED, SEG-Y); 2. Clock corrections...

This GitLab repository is used to publish and maintain tutorials and SOPs for the planetary geologic mapping program.

This repository contains applications of the Metapopulation Integral PRojection Model (MetaIPM; https://doi.org/10.5066/P9427H6M), which is a Python package that uses a integral projection model (IPM) to model meta-population dynamics and continuous growth rates of species living in spatially discrete habitat units. In this particular implementation, we use MetaIPM to model invasive...