US EPA

Reference Web-ICE as:
Lilavois, C.R., S.A. Nelson, and S. Raimondo. 2024. Web-based Interspecies Correlation Estimation (Web-ICE) for Acute Toxicity: User Manual. Version 4.0. U.S. Environmental Protection Agency, Office of Research and Development, Gulf Ecosystem Measurement and Modeling Division. Gulf Breeze, FL.

Related References:

Raimondo, S., P. Mineau and M.G. Barron. 2007. Estimation of chemical toxicity to wildlife species using interspecies correlation models. Exit Environmental Science and Technology. 41: 5888-5894.

Awkerman, J., S. Raimondo, and M.G. Barron. 2008. Development of Species Sensitivity Distributions for wildlife using interspecies toxicity correlation models. Exit Environmental Science and Technology. 42: 3447-3452.

Dyer, S. D., D. J. Versteeg, S. E. Belanger, J. G. Chaney, S. Raimondo and M. G. Barron. 2008. Comparison of species sensitivity distributions derived from interspecies correlation models to distributions used to derive water quality criteria. Exit Environmental Science and Technology. 42: 3076-3083.

Raimondo, S., D.N. Vivian, C. Delos, M.G. Barron. 2008. Protectiveness of Species Sensitivity Distribution Hazard Concentrations for Acute Toxicity Used in Endangered Species Risk Assessment. Exit Environmental Toxicology and Chemistry. 27: 2599-2607.

Awkerman, J.A., S. Raimondo, M. G. Barron. 2009. Estimation of wildlife hazard levels using interspecies correlation models and standard laboratory rodent toxicity data. Exit Journal of Toxicology and Environmental Health, Part A. 72: 1604-1609.

Raimondo, S., D. N. Vivian, and M.G. Barron. 2009. Standardizing acute toxicity data for use in ecotoxicological models: influence of test type, life stage, and concentration reporting. Exit Ecotoxicology. 18: 918-928.

Raimondo, S., C.R. Jackson, M.G. Barron. 2010. Influence of taxonomic relatedness and chemical mode of action in acute interspecies estimation models for aquatic species. Exit Environmental Science and Technology. 44: 7711-7716.

Barron, M.G., C. R. Jackson, and J.A. Awkerman. 2012. Evaluation of in silico development of aquatic toxicity species sensitivity distributions. Exit Aquatic Toxicology. 116-117: 1-7

Feng, C., F. Wu, Y. Mu, W. Meng, S. Dyer, M. Fan, S. Raimondo, AND M. Barron. 2013. Interspecies Correlation Estimation - Applications in Water Quality Criteria and Ecological Risk Assessment. Exit Environmental Science and Technology. 47:11382-11383.

Awkerman, J., S. Raimondo, C.R. Jackson, and M.G. Barron. 2014. Augmenting aquatic species sensitivity distributions with interspecies toxicity estimation models. Exit Environmental Toxicology and Chemistry. 33:688-695.

Barron, M. G., C. R. Jackson, and T. Martin. 2015. MOAtox: A Comprehensive Mode of Action and Acute Aquatic Toxicity Database for Predictive Model Development. Exit Aquatic Toxicology. 161:102-107.

Brill, J.L., S.E. Belanger, J.G. Chaney, S.D. Dyer, S. Raimondo, M.G. Barron, and C.A. Pittinger. 2016. Development of algal interspecies correlation estimation (ICE) models for chemical hazard assessment. Exit Environ Tox Chem (online)

Raimondo, S., C.R. Lilavois, L. Lee, T. Augspurger, N. Wang, C.G. Ingersoll, C. Bauer, E. Hammer, and M.G. Barron. 2016. Assessing variability in chemical acute toxicity of unionid mussels: influence of intra-and inter-laboratory testing, life stage, and species. Exit Environ Tox Chem 35:750-758.

Willming, M. M., C. R. Lilavois, M.G. Barron, S. Raimondo. 2016. Acute toxicity prediction to threatened and endangered species using Interspecies Correlation Estimation (ICE) models. Exit Environ Sci Technol. 50: 10700-10707.

Ivey, C.D., J. Besser, C.G. Ingersoll, N. Wang, D.C. Rogers, S. Raimondo. 2017. Acute sensitivity of the vernal pool fairy shrimp, Branchinecta lynchi (Anostraca: Branchinectidae), and surrogate species to 10 chemicals. Exit Environmental Toxicology and Chemistry. 36: 797-806.

Belanger, S., M. Barron, P. Craig, S. Dyer, M. Galay-Burgos, M. Hamer, A. Hart, S. Marshall, L. Posthuma, S. Raimondo, P. Whitehouse. 2017. Future needs and recommendations in the development of species sensitivity distributions: Estimating toxicity thresholds for aquatic ecological communities and assessing impacts of chemical exposures. Exit Integrated Environmental Assessment and Management. 13: 664-674.

Bejarano, A.C., S. Raimondo, M.G. Barron. 2017. Framework for optimizing selection of interspecies correlation estimation models to address species diversity gaps in an aquatic database. Exit Environmental Science and Technology. 51: 8158-8165.

Raimondo, S. and M. G. Barron. 2020. Application of Interspecies Correlation Estimation (ICE) models in estimating species sensitivity to pesticides. Exit SAR and QSAR in Environmental Research. 31: 1-18.

Raimondo, S., C. Lavelle, and M.G. Barron. 2021. Interspecies Correlation, Genomic, and QSAR Approaches for Aquatic Toxicity Extrapolation. Exit In. Kunal Roy (ed) Chemometrics and Cheminformatics in Aquatic Toxicology. Wiley & Sons, Inc. pp. 181 – 199.

Hong, Y., C. Feng, X. Jin, H. Xie, N. Liu, H. Chang, Y. Bai, F. Wu, S. Raimondo. 2022. A QSAR-ICE-SSD model prediction of the PNECs for alkylphenol substances and application in ecotoxicological risk assessment for rivers of a megacity. Exit Environmental International. 107367.

Raimondo, S., C.R. Lilavois, and S.A. Nelson. 2024. Uncertainty analysis and updated user guidance for Interspecies Correlation Estimation (ICE) models and low toxicity compounds. Integr Environ Assess Manage. https://doi.org/10.1002/ieam.4884 Exit