An R package to fit and plot Species Sensitivity Distributions (SSDs)
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Updated
May 6, 2024 - R
An R package to fit and plot Species Sensitivity Distributions (SSDs)
Bayesian No-Effect-Concentration estimation in R
✨📦👩💻 shinyssd v1.0: Species Sensitivity Distributions for Ecotoxicological Risk Assessment - R-Shiny app
This project repository is connected to the journal article ‘A Novel Multi-Species Toxicokinetic Modeling Approach in Support of Chemical Risk Assessment’ by Mangold-Döring et al. 2021. The key element of this repository is the Jupyter Notebook with the model code (Multi-species-PBTK-model.ipynb), in which you will find a more detailed descripti…
Data and R code to reproduce the results from 'Transcriptional responses as biomarkers of general toxicity' (Ekelund Ugge et al. 2022).
This is the GitHub repository for the block course "Geoinformation Systems (GIS) Application" offered by the Institute for Environmental Sciences, University of Koblenz-Landau at the Winter Semester 2018. Please scroll below to read the instructions.
Example R scripts to create a dose-response curve and extract ECx-values.
web based multi-agent simulator for individual-based modeling in population dynamics and ecotoxicology
A collection of transformer-based models and developmental scripts presented in the publication "Transformers enable accurate prediction of acute and chronic chemical toxicity in aquatic organisms".
This project aims to be a handler for input creation and running of multiple RICEWQ simulations.
R package to ease the use of ecotox effect models
Paper - Effect of the plastic pollutant bisphenol A on the biology of aquatic organisms: A meta-analysis
Experiment data and analysis for calculating the effects of a toxicant (CuSO4.5H2O) on the growth of plants.
This is a folder for my M.S. Thesis related information.
A R script for extracting tadpoles swimming behavior and morphological traits.
Biochemical biomarker analysis of mussels from 74 sites across Puget Sound from the WDFW 'Mussel Watch' program.
Source code for the web application associated with "Transformers enable accurate prediction of acute and chronic chemical toxicity in aquatic organisms".
The rebirth of IMPACT World+ in a fully automated and transparent fashion.
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