{
  "accessLevel": "public",
  "bureauCode": [
    "020:00"
  ],
  "contactPoint": {
    "fn": "Lucina Lizarraga",
    "hasEmail": "mailto:lizarraga.lucina@epa.gov"
  },
  "description": "ToxCast bioactivity data and model predictions for the estrogen receptor (ER) and androgen receptor (AR) pathways were obtained from the inks provided. \n\nThis dataset is associated with the following publication:\nLizarraga, L., J. Dean, J. Kaiser, S. Wesselkamper, J. Lambert, and J. Zhao. A Case Study on the Application of An Expert-driven Read-Across Approach in Support of Quantitative Risk Assessment of p,p’-Dichlorodiphenyldichloroethane.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 103: 301-313, (2019).",
  "distribution": [
    {
      "accessURL": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable",
      "title": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable"
    },
    {
      "accessURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635633/pdf/kfv168.pdf",
      "title": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635633/pdf/kfv168.pdf"
    },
    {
      "accessURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396026/pdf/tx6b00347.pdf",
      "title": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396026/pdf/tx6b00347.pdf"
    }
  ],
  "identifier": "https://doi.org/10.23719/1502622",
  "keyword": [
    "Read-across",
    "in vitro high-throughput screening",
    "quantitative risk assessment",
    "toxicokinetics"
  ],
  "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
  "modified": "2018-09-05",
  "programCode": [
    "020:062"
  ],
  "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/10.1016/j.yrtph.2019.02.010"
  ],
  "rights": null,
  "title": "ToxCast bioactivity data and model predictions for the ER and AR pathways for p,p'-DDD and analogues "
}