Software

The purpose of this study was to evaluate the distribution of northwestern pond turtles (Actinemys marmorata) and invasive American bullfrogs (Lithobates catesbeianus) in private timberland streams of interior northern California, USA. Fieldwork for the study occurred in 2021-2022 in Lassen, Plumas, Shasta, Tehama, and Trinity counties, California, and involved visual encounter surveys and samplin

This repository contains R code to: 1. Simulate spatially autocorrelated count and demographic data for 10 populations using mean and process variance estimates from a long-term (1938–2011), range-wide meta-analysis of Greater Sage-Grouse (Centrocercus urophasianus) population dynamics (Taylor et al., 2012). 2. Fit a spatially interpolated integrated population model (SIIPM) to the simulated da

Official version 1.1.0 software release of the Groundwater-Nitrate Decision Support Tool (GW-NDST) for Wisconsin. This release (v1.1.0) is matched with and described by Juckem, P.F., Corson-Dosch, N.T., Schachter, L.A., Green, C.T., Ferin, K.M., Booth, E.G., Kucharik, C.J., Austin, B.P., and Kauffman, L.J., 2024, Design and calibration of a Nitrate Decision Support Tool for Groundwater wells in W

Climate change is expected to increase lake productivity and algal blooms and cause regime shifts, particularly in human-impacted ecosystems. However, evidence is lacking for causal relationships between climate and lake productivity or for the nonlinear dynamics needed to demonstrate regime shifts. We modeled causal effects of climate on lake chlorophyll over 34 years in 24,452 US lakes. This rep

The USGS Satellite Tool for River Altimetry and eXtent in Alaska (SatTRAX-AK) is a Google Earth Engine application built for exploring Surface Water and Ocean Topography (SWOT) observable USGS gages reaches and Global Water Monitor (GWM) altimetry data for river surfaces. The application will run an analysis at select GWM sites to compute water extent and estimated water surface elevation derived

A software designed to provide situational awareness on rainfall intensities relevant to potential runoff-generated debris flows in recently burned areas.

The codes presented here combine modifications to the standard CovSeisNet package (providing estimates of seismic network covariance) with image processing to detect and classify volcanic seismicity. The codes are Python implementations and should work with standard Python distributions. In this case we use Anaconda and have verified that the codes work with Python 3.9 and 3.10. The codes as conf

Landsat Quality Assessment (QA) bands provide helpful information for evaluating the overall usefulness of individual pixels. Each pixel in the QA band contains an integer value that represents bit-packed combinations of surface, atmospheric, and sensor conditions that can affect pixel quality. The Landsat QA Toolbox will allow users to extract those bits of QA information on ArcPro and ArcMap sys

The infoGWauxs package in the R language provides auxiliary methods for data merging, duplicate-record removal, and monthly rollup of groundwater levels in the so-called infoGW or GWmaster data objects. These data structures are particularly well suited for statistical analyses of groundwater levels. This package is part of a greater body of data processors oriented around the infoGW standard. The

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 whether habitat

This ArcGIS Pro project template is being provided in support of scientists who wish to upload data to the Conservation Efforts Database (CED). This software release contains all of the source code and instructions to use the project template, including the tools that come with it, to upload large quantities of data to the CED.

This ArcGIS Pro project template is being provided to support scientists who wish to upload data to the Conservation Efforts Database (CED). This software release contains all of the source code and instructions to use the project template, including the tools that come with it, to upload large quantities of data to the CED.