{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Grace Patlewicz", "hasEmail": "mailto:patlewicz.grace@epa.gov"}, "description": "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-Analysis-Training-Modules/, with underlying code and datasets available in the parent UNC-SRP GitHub website (https://github.com/UNCSRP). \n\nThis dataset is associated with the following publication:\nRoell, K., L. Koval, R. Boyles, G. Patlewicz, C. Ring, C. Rider, C. Ward-Caviness, D. Reif, I. Jaspers, R. Fry, and J. Rager. 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.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 4: 893924, (2022).", "distribution": [{"accessURL": "https://uncsrp.github.io/Data-Analysis-Training-Modules/", "title": "https://uncsrp.github.io/Data-Analysis-Training-Modules/"}, {"accessURL": "https://github.com/UNCSRP", "title": "https://github.com/UNCSRP"}], "identifier": "https://doi.org/10.23719/1527919", "keyword": ["public health", "data science", "Exposure Science", "Read-across", "cheminformatics"], "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html", "modified": "2022-06-22", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.3389/ftox.2022.893924", "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257219"], "rights": null, "title": "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"}