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
Data and Resources
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| accessLevel | public |
| bureauCode | {020:00} |
| catalog_conformsTo | https://project-open-data.cio.gov/v1.1/schema |
| identifier | https://doi.org/10.23719/1527919 |
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2022-06-22 |
| programCode | {020:000} |
| publisher | U.S. EPA Office of Research and Development (ORD) |
| publisher_hierarchy | U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD) |
| references | {https://doi.org/10.3389/ftox.2022.893924,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257219} |
| resource-type | Dataset |
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| license_id | other-license-specified |
| license_title | other-license-specified |
| maintainer | Grace Patlewicz |
| maintainer_email | patlewicz.grace@epa.gov |
| metadata_created | 2025-09-24T22:56:49.561868 |
| metadata_modified | 2025-09-24T22:56:49.561879 |
| notes | 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). This dataset is associated with the following publication: Roell, 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). |
| num_resources | 2 |
| num_tags | 13 |
| 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 |