An Assessment of the Ocular Toxicity of Two Major Sources of Environmental Exposure

These data contain information on chemicals released in to the air from burn pits in Iraq (waste disposal areas for US military bases) and the 2023 Ohio train derailment in East Palestine. The goals of the study were to 1) predict the effects of exposure to these chemicals on the ocular surface and 2) to call attention to the relationship between environmental events and long-term damage to the surface of the eye—in particular, dry eye disease, which is a known result of workplace chemical exposures. The study employed in silico methods through the ACD Labs Percepta platform, using data from the European Chemical Inventory and the Registry of Toxic Effects of Chemical Substances to model the chemicals’ probability of ocular irritation. Variables include the names of compounds identified from the burn pits and the train derailment, along with their chemical formulas, simplified molecular input line entry system (abbreviated to SMILES), and probability of causing eye irritation.本数据集包含两类环境事件排放至空气中的化学品相关信息：一是伊拉克境内作为美军基地废物处置场地的焚烧坑，二是2023年俄亥俄州东巴勒斯坦镇列车脱轨事故。本研究的目标分为两点：其一，预测此类化学品暴露对眼表的影响；其二，提请关注环境事件与眼表长期损伤之间的关联，尤其是职业化学品暴露已被证实可引发的干眼症。本研究依托ACD Labs Percepta平台采用计算机模拟（in silico）方法，结合欧洲化学品名录与化学品毒性效应登记册的数据，构建化学品眼刺激概率预测模型。数据集变量涵盖焚烧坑与列车脱轨事故中检出的化合物名称、化学式、简化分子线性输入规范（simplified molecular input line entry system，缩写SMILES）以及引发眼刺激的概率。