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

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SUTRA: A Model for 2D or 3D Saturated-Unsaturated, Variable-Density Ground-Water Flow With Solute or Energy Transport SUTRA: A Model for 2D or 3D Saturated-Unsaturated, Variable-Density Ground-Water Flow With Solute or Energy Transport

SutraSuite is a collection of software for groundwater modeling in both two spatial dimensions (2D) and three spatial dimensions (3D). It includes the SUTRA groundwater model, the SutraGUI pre-processor, the SutraPrep text-based preprocessor, and the SutraPolot post-processor.

syntheticdv2lff, Scripts for low-flow frequency (LFF) estimation (and bias correction) from daily mean streamflow estimated at level-12 hydrologic unit code (HUC12) pour points in the southeastern United States syntheticdv2lff, Scripts for low-flow frequency (LFF) estimation (and bias correction) from daily mean streamflow estimated at level-12 hydrologic unit code (HUC12) pour points in the southeastern United States

The syntheticdv2lff repository contains R language source code that document the workflow to compute low-streamflow (low-flow) frequency (LFF) statistics from previously estimated streamflow at level-12 hydrologic unit code (HUC12) pour points (watershed outlet locations) in the south-central and southeastern United States for 1950 through 2010 and associated bias correction. LFF...

syntheticdv2lff, Scripts for low-flow frequency (LFF) estimation (and bias correction) from daily mean streamflow estimated at level-12 hydrologic unit code (HUC12) pour points in the southeastern United States syntheticdv2lff, Scripts for low-flow frequency (LFF) estimation (and bias correction) from daily mean streamflow estimated at level-12 hydrologic unit code (HUC12) pour points in the southeastern United States

The syntheticdv2lff repository contains R language source code that document the workflow to compute low-streamflow (low-flow) frequency (LFF) statistics from previously estimated streamflow at level-12 hydrologic unit code (HUC12) pour points (watershed outlet locations) in the south-central and southeastern United States for 1950 through 2010 and associated bias correction. LFF...

Tests of multistate CJS models to estimate survival conditioned on a partially-observed latent state Tests of multistate CJS models to estimate survival conditioned on a partially-observed latent state

Polar bears (Ursus maritimus) of the Southern Beaufort Sea (SBS) historically spent nearly the entire year on the sea ice but are increasingly using land habitat as sea ice becomes less available seasonally due to climate warming. The U.S. Geological Survey, Alaska Science Center maintains a research program on the SBS polar bear subpopulation and one important research question is...

Thinned Point Process Models for Telemetry Data Thinned Point Process Models for Telemetry Data

This project aimed to develop methods to estimate spatially explicit survival of wildlife from telemetry data.

toxEval 4.1 toxEval 4.1

The toxEval R-package includes a set of functions to analyze, visualize, and organize measured concentration data as it relates to https://www.epa.gov/comptox-tools/toxicity-forecasting-toxcast or other user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological...

USDOT traffic data processing source code, v1.0.0 USDOT traffic data processing source code, v1.0.0

This code contains the data processing for research described in xxxx by Wood et al., 2024. U.S. Department of Transportation (USDOT) highway traffic data for each state and month is processed into a single CSV file containing the monthly total of vehicles passing each traffic station camera, the maximum hourly rate for each station and month, and the timestamp when the maximum occurred...

Using the Landsat SpatioTemporal Asset Catalog (STAC) for Band Selection and Retrieval Using the Landsat SpatioTemporal Asset Catalog (STAC) for Band Selection and Retrieval

This tutorial will introduces the basics of selecting a subset of bands over a set area of interest (AOI) and time span, loading the desired cloud optimized geotiffs (COGs) into a Jupyter Notebook directly from the cloud, cropping the bands and creating a natural composite.

veg_sim: Modeling Greater sage-grouse habitat suitability 15-years post simulated fire event and sagebrush transplanting (2015-2030) veg_sim: Modeling Greater sage-grouse habitat suitability 15-years post simulated fire event and sagebrush transplanting (2015-2030)

To assess the degree to which transplanting sagebrush (Artemisia spp.) could quickly restore former Greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) habitat and the strategies by which sage-grouse habitat restoration is best accomplished, we linked vegetation transitions with habitat selection models to evaluate habitat recovery. There are few data-driven...

Vignette Bayesian Site Occupancy Model Bat Acoustic Data Vignette Bayesian Site Occupancy Model Bat Acoustic Data

The purpose of this document is to demonstrate how data collected by the Pacific Northwest Bat Hub, a member of the North American Bat Monitoring Program (NABat), may be used to make inferences about species occurrence. As motivation, we consider occurrence data collected on Silver-haired bats (Lasionycteris noctivagans, LANO) in Oregon and Washington in 2019. In particular, we are...

Vignette detailing application of multi-scale occupancy models to Hoary bat, Lasiurus cinereus, in Montana, 2020 - 2022 Vignette detailing application of multi-scale occupancy models to Hoary bat, Lasiurus cinereus, in Montana, 2020 - 2022

This document serves as an open code book detailing application of a multi-scale occupancy model to bat acoustic data collected according to the North American Bat Monitoring Program (NABat) sampling design. In this document, we detail a complete analysis of acoustic data collected on Hoary bats in Montana between 2020 and 2022, including: examples of data cleaning and preparation for...
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