{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Daniel Villeneuve", "hasEmail": "mailto:villeneuve.dan@epa.gov"}, "description": "Dataset for \"Schaupp CM, Byrne G, Chan M, Haggard DE, Hazemi M, Jankowski MD, LaLone CA, LaTier A, Mattingly KZ, Olker JH, Renner J, Sharma B, Villeneuve DL. An automated computational data pipeline to rapidly acquire, score, and rank toxicological data for ecological hazard assessment. Integr Environ Assess Manag. 2024 May 16. doi: 10.1002/ieam.4945. Epub ahead of print. PMID: 38752675.\". \n\nThis dataset is associated with the following publication:\nSchaupp, C., G. Byrne, M. Chan, D. Haggard, M. Hazemi, M. Jankowski, C. LaLone, A. LaTier, K. Mattingly, J. Olker, J. Renner, B. Sharma, and D. Villeneuve. An automated computational data pipeline to rapidly acquire, score, and rank toxicological data for ecological hazard assessment.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 20(6): 2203-2217, (2024).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531459/Generated%20ToxCast%20and%20QSAR%20Data.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "Generated ToxCast and QSAR Data.xlsx"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531459/Supplemental%20Figures.docx", "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "title": "Supplemental Figures.docx"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531459/Supplementary%20Text.docx", "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "title": "Supplementary Text.docx"}], "identifier": "https://doi.org/10.23719/1531459", "keyword": ["Risk Assessment", "computational toxicology", "ecotoxicology", "new approach methodologies"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2024-04-24", "programCode": ["020:000"], "publisher": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}, "references": ["https://doi.org/10.1002/ieam.4945"], "rights": null, "title": "An automated computational data pipeline to rapidly acquire, score, and rank toxicological data for ecological hazard assessment"}