2026-10-12T16:37:30Z https://api.figshare.com/v2/oai

oai:figshare.com:article/28521698 2026-09-12T07:01:28Z category_39 category_34 portal_81 item_type_3 month_year_09_2026

Advancing Aquatic Ecological Risk Assessment through AI Driven Prediction of Chemical Exposure and Toxicity in Freshwater and Marine Fish Peiling Han (20394093) Jingwen Chen (16895261) Yongle Zhu (20813028) Jingyuan Yang (20813050) Willie J.G.M. Peijnenburg (20813056) Xuehua Li (16895233) Ecology Environmental Science Physiological and biochemical parameters of fish blood flow tissue volume tissue content cardiac output oxygen consumption rates in vitro hepatic clearance rates Supplementary Data Set 1: The excel file listed species information from the multimodal dataset, as well as the mean values of blood flow, tissue volume, and tissue content calculated for the species when grouped by species family and environmental medium. Supplementary Data Set 2: The excel file contained datasets used in this study to construct the prediction models for multi-species Fcard and VO2, as well as the classification and quantification models for human and multi-species CLin vitro,int. All datasets included chemical structures (if available), model inputs, predicted endpoints, training/test splits, and data sources. Supplementary Data Set 3 The excel file contained 703 internal exposure concentration data collected from extensive literature for validation of the HM-PBTK model. 2026-09-12T07:01:28Z Dataset Dataset 10.6084/m9.figshare.28521698.v1 https://figshare.com/articles/dataset/Advancing_Aquatic_Ecological_Risk_Assessment_through_AI_Driven_Prediction_of_Chemical_Exposure_and_Toxicity_in_Freshwater_and_Marine_Fish/28521698 CC BY 4.0