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
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).
Resources
2 resources available
-
https://github.com/UNCSRP
FILE -
https://uncsrp.github.io/Data-Analysis-Training-Modules/
FILE
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| 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). 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). |
| distribution |
[ { "title": "https://github.com/UNCSRP", "accessURL": "https://github.com/UNCSRP" }, { "title": "https://uncsrp.github.io/Data-Analysis-Training-Modules/", "accessURL": "https://uncsrp.github.io/Data-Analysis-Training-Modules/" } ] |
| identifier | https://doi.org/10.23719/1527919 |
| keyword |
[ "Exposure Science", "Read-across", "cheminformatics", "data science", "public health" ] |
| 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 |
