Software
Filter Total Items: 45
Python for Hydrology Self Study Curriculum
This repository contains study materials for python programming for hydrologic applications and a focus on groundwater modeling with flopy. The materials are used in an in-person curriculum at the USGS and provided here for reference for the larger hydrologic community.
GW-NDST software v 1.1.0
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
Comparing maximum likelihood and Bayesian methods for fitting Hidden Markov Models to multi-state capture recapture data of invasive Silver Carp in the Illinois River
This repository contains the data, code for modeling and analysis, and publication markdown documents for a comparison of various methods for fitting multi-state models, including maximum likelihood and Bayesian approaches via R.
NO3GWT version 1.0.0
A groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST was reviewed and approved by the journal via this official USGS appr
Monosex control within integrated pest management
This repository contains code to simulate the use of YY-males and direct mortality such as harvest or pesticide applicaion as a
control tools for different aquatic invasive species.
Simulations for assessing the suitability of YY-males as a control method across life histories
This repository contains code to simulate the use of YY-males as a control tool for different aquatic invasive species.
The code uses the Meta-IPM Python package (https://doi.org/10.5066/P9PW673G) The code for this project assumes the reader is familiar with Jupyter
Notebooks, enough Conda and Python to install the Meta-IPM package, and population ecology.
SEIcarP
SEIcarP is an R package (R Core Team 2021) implementing the
Spatially Explicit Invasive Carp (SEICarP; sometimes stylize as SEIcarP)
population model for the Illinois River.
This repository contains the SEIcarP model plus two additional
packages required for the main model package to run.
These are the SEIcarP Bighead Carp (BH) data (SEIcarPdataBHCP) and
the SEIcarP Silver Carp (SV) data (SEIcarPd
Application of the SEICarP Model to the Illinois River
This repository contains code to run the Spatially Explicit Invasive
Carp Population (SEICarP) model in the Illinois Rive.
The code uses the `SEICarP` R package.
The code for this project assumes the reader is familiar with R,
population modeling, and quantitative fisheries methods.
Example application of MetaIPM to the Illinois River
This repository contains an example application of the `Meta-IPM` Python package (https://doi.org/10.5066/P9PW673G).
The specific application focuses on the Illinois River using existing public data.
Indiana mussel metabolomics data analysis
This repository contains code to cluster a sample of Mussels based up their metabolic levels via Non-Metric Multidimensional Scaling (NMDS) and distance based-Redundancy Analysis (db-RDA). Mussel sample is broken down and examined by catch location, sex, and species. The code for this project assumes the reader is familiar with R and clustering techniques.
Calculations of BioLake climate data
Climate data allow people to examine species distributions and possible distributions.
This script takes ERA5-Land climate estimates (https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5) for precipitation and lake temperature and processes them to create summary climate layers for use with biological organisms in lakes. This code could be modified to use a different subset of year
Interpolating missing water quality data
This repository contains analysis codes to interpolate missing data from the Upper Mississippi River LTRM dataset.