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Federal
SWAT Model Data
U.S. Environmental Protection Agency —
These data represent the underlying figures and tables of the manuscript. This dataset is associated with the following publication: Yuan, L., and K.J. Forshay. Using... -
Federal
Application of systematic evidence mapping to identify available data on the potential human health hazards of selected market-relevant azo dyes
U.S. Environmental Protection Agency —
Background: Azo dyes are used in textiles and leather clothing. Human exposure can occur from wearing textiles containing azo dyes. Since the body’s enzymes and... -
Federal
Code for Predicting MIEs from Gene Expression and Chemical Target Labels with Machine Learning (MIEML)
U.S. Environmental Protection Agency —
Modeling data and analysis scripts generated during the current study are available in the github repository: https://github.com/USEPA/CompTox-MIEML. RefChemDB is... -
Federal
Chesapeake Bay Nitrogen Trend Predictor Dataset
U.S. Environmental Protection Agency —
Please review Zhang et al. (2021) for details on study design and datasets (https://doi.org/10.1016/j.watres.2022.118443). In summary, predictor and response variable... -
Federal
amphibian_biomarker_data
U.S. Environmental Protection Agency —
Amphibian metabolite data used in Snyder, M.N., Henderson, W.M., Glinski, D.G., Purucker, S. T., 2017. Biomarker analysis of american toad (Anaxyrus americanus) and... -
Federal
A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species
U.S. Environmental Protection Agency —
Data and code for "Dawson, D.E.; Lau, C.; Pradeep, P.; Sayre, R.R.; Judson, R.S.; Tornero-Velez, R.; Wambaugh, J.F. A Machine Learning Model to Estimate Toxicokinetic... -
Federal
Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network
U.S. Environmental Protection Agency —
Table of contents Table S1 DNT inventory List of sources and associated data collected for the development of the Bayesian hierarchical model. Table S2 Data... -
Federal
Datasets for manuscript "Predicting chemical end-of-life scenarios using structure-based classification models"
U.S. Environmental Protection Agency —
As described in the README.md file, the GitHub repository github.com/USEPA/PRTR-QSTR-models/tree/data-driven are Python scripts written to run Quantitative... -
Federal
Datasets for manuscript "Integrating data engineering and process systems engineering for end-of-life chemical flow analysis"
U.S. Environmental Protection Agency —
The Github Repository, https://github.com/jodhernandezbe/TRI4PLADS/tree/v1.0.0,, is publicly available and referenced in supplementary information. This GitHub... -
Federal
Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research
U.S. Environmental Protection Agency —
The original contributions presented in the study are included in the article and online through the TAME Toolkit, available at: https://uncsrp.github.io/Data-... -
Federal
Methane and carbon dioxide emission rates from reservoirs in Ohio, Kentucky, and Indiana
U.S. Environmental Protection Agency —
This dataset contains methane and carbon dioxide emission rates measured in 32 reservoirs distributed across Ohio, Kentucky, and Indiana. Ancillary environmental data... -
Federal
Datasets for manuscript "Tracking end-of-life stage of chemicals: a scalable data-centric and chemical-centric approach"
U.S. Environmental Protection Agency —
As described in the README.md file, the GitHub repository PRTR_transfers are Python scripts written to run a data-centric and chemical-centric framework for tracking... -
Federal
RivNitrateLSTM
U.S. Environmental Protection Agency —
Real-time USGS nitrate data are collected to map short-term changes in nitrate concentrations across locations in the US:... -
Federal
Metadata for Pavlovic et al. - Machine Learning Critical Loads
U.S. Environmental Protection Agency —
This is the metadata associated with Pavlovic et al. (2023) entitled "Empirical nitrogen and sulfur critical loads of U.S. tree species and their uncertainties with...