Chemical agnostic hazard prediction: Statistical inference of toxicity pathways - data for Figure 2

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This dataset comprises one SigmaPlot 13 file containing measured survival data and survival data predicted from the model coefficients selected by the LASSO procedure. This dataset is associated with the following publication: Ross, J., B. George, M. Bruno, and Y. Ge. Chemical-agnostic hazard prediction: statistical inference of in vitro toxicity pathways from proteomics responses to chemical mixtures. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 2: 39-44, (2017).

㈜예측진단기술 - 지하배관 확산 추정 결과 그래프(이미지)데이터

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10종 화학물질 이송 지하배관별 사고발생시 확산되는 유해물질 추정결과 시뮬레이션 이미지정보

Alternatives Assessment Dashboard Hazard Database Version 1.0 Generated 12/07/2018

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This is a collection of over 290,000 hazard data records compiled for the Alternatives Assessment Dashboard. The hazard data includes records for human health, ecotoxicity, and fate. The human health records include records for Acute mammalian toxicity, Carcinogenicity, Mutagenicity, Endocrine disruption, Reproductive toxicity, Developmental toxicity, Neurotoxicity, Systemic toxicity, Skin sensitization, Skin irritation, and Eye irritation. The ecotoxicity records include records for acute and chronic aquatic toxicity. The fate records include records for persistance and bioaccumulation. The source of the hazard records include GHS (Globally Harmonized System) hazard codes, hazard categories, quantitative toxicity data, and predicted toxicity data.

Chemical concentrations, exposures, health risks by census tract from National Scale Air Toxics Assessment (NATA)

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Chemical concentrations, exposures, health risks by census tract for the United States from National Scale Air Toxics Assessment (NATA). This dataset is associated with the following publication: Huang, H., and T. Barzyk. Connecting the Dots: Linking Environmental Justice Indicators to Daily Dose Model Estimates. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 14(1): 1-15, (2017).

phase 2/3 oil agent ecotox sci hub data files

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The data set consists of ecotoxicity values for crude oils and spill response agents. This dataset is associated with the following publications: Conmy, R., M. Barron, D. Sundaravadivelu, R. Groser, R. Venkatapathy, A. Burkes, and E. Holder. SCREENING OF POTENTIAL REFERENCE OILS FOR THE NATIONAL CONTINGENCY PLAN PRODUCT SCHEUDLE. U.S. Environmental Protection Agency, Washington, DC, USA, 2019. Barron, M., A. Bejarano, R. Conmy, D. Sundaravadivelu, and P. Meyer. Toxicity of oil spill response agents and crude oils to five aquatic test species. MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 153(110954): 110954, (2020).

Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls

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The experimental data were taken from Simon et al., who compiled potency data for effects related to neurotoxicity from four experimental datasets, Stenberg et al. [18] and Wigestrand et al. The measures of potency were EC50 (µM) or IC50 values for all the effects except Stenberg data, which were expressed as a percentage of the control uptake for different concentrations measured. This dataset is associated with the following publication: Pradeep, P., L. Carlson, R. Judson, G. Lehmann, and G. Patlewicz. Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 101: 12-23, (2019).

Chemical Exposure Pathway Prediction for Screening and Priority-Setting

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We created a consensus, meta-model using the Systematic Empirical Evaluation of Models framework in which the predictors of exposure were combined by pathway and weighted according to predictive ability for chemical intake rates inferred from human biomonitoring data for 114 chemicals. This dataset is associated with the following publication: Ring, C., J. Arnot, D. Bennett, P. Egeghy, P. Fantke, L. Huang, K. Isaacs, O. Jolliet, K. Phillips, P. Price, H. Shin, J. Westgate, R. Setzer, and J. Wambaugh. Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(2): 719-732, (2019).

㈜예측진단기술 - 화학배관 사고 위험성 평가 정보

공공데이터포털

10종 화학물질 이송 지하배관별 발생하는 사고 위험성 상세 정보를 의미함

Application of Cell Painting for chemical hazard evaluation in support of screening-level chemical assessments

공공데이터포털

Dataset for Nyffeler et al., 'Application of Cell Painting for chemical hazard evaluation in support of screening-level chemical assessments', Toxicology & Applied Pharmacology, Vol 468, 116513, June 1, 2023, DOI https://doi.org/10.1016/j.taap.2023.116513. This dataset is associated with the following publication: Nyffeler, J., C. Willis, F. Harris, M. Foster, B. Chambers, M. Culbreth, R. Brockway, S. Davidson-Fritz, D. Dawson, I. Shah, K. Paul-Friedman, D. Chang, L. Everett, J. Wambaugh, G. Patlewicz, and J. Harrill. Application of Cell Painting for chemical hazard evaluation in support of screening-level chemical assessments. TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 468: 116513, (2023).

Data for Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies..."

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Data for publication Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies in toxicity testing and exposure assessment: a case study on food contact chemicals". Includes food concentration predictions from the model of Biryol et al. (2017) and SHEDS-HT exposure predictions. This dataset is associated with the following publication: Turley, A., K. Isaacs, B. Wetmore, A. Karmaus, M. Embry, and M. Krishan. Incorporating new approach methodologies in toxicity testing and exposure assessment for tiered risk assessment using the RISK21 approach: Case studies on food contact chemicals. FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 134: 110819, (2019).