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Software

An official USGS software project is code reviewed and approved at the bureau-level for distribution.

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UFINCH— A Method for Simulating Unit and Daily Flows in Networks of Channels Described by NHDPlus Using Continuous Flow Data at USGS Streamgages UFINCH— A Method for Simulating Unit and Daily Flows in Networks of Channels Described by NHDPlus Using Continuous Flow Data at USGS Streamgages

The computer program UFINCH (Unit Flows in Networks of Channels) can be used to simulate unit (15-minute) flows in a network of streams defined within the medium resolution National Hydrography Dataset Plus with value added attributes (NHDPlus, v. 2).

ScienceBase ScienceBase

The U.S. Geological Survey is committed to enhancing and expanding information sharing and sound data management practices. Science teams directly use ScienceBase as an information management and collaboration platform and to release scientific data. ScienceBase is a central location that provides access to aggregated information derived from many data and information domains.

Serial and parallel versions of the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model (TRIGRS) Serial and parallel versions of the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model (TRIGRS)

The Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model (TRIGRS) is a Fortran program designed for modeling the timing and distribution of shallow, rainfall-induced landslides. The program computes transient pore-pressure changes, and attendant changes in the factor of safety, due to rainfall infiltration. The program models rainfall infiltration, resulting from...

TRIGRS version 2.1 TRIGRS version 2.1

The Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model (TRIGRS) is a Fortran program designed for modeling the timing and distribution of shallow, rainfall-induced landslides. The program computes transient pore-pressure changes, and attendant changes in the factor of safety, due to rainfall infiltration. This release, 2.1.0a, includes bug fixes, new output...

qfasar: Quantitative Fatty Acid Signature Analysis in R qfasar: Quantitative Fatty Acid Signature Analysis in R

Knowledge of predator diets provides numerous insights into their ecology. Diet estimation therefore remains an active area of research in quantitative ecology. Quantitative Fatty Acid Signature Analysis (QFASA) is a method of estimating the diet composition of predators. The fundamental unit of information in QFASA is a fatty acid signature (signature), which is a vector of proportions...
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