遇见数据集

xpertsystems/oil036-sample

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Hugging Face2026-05-23 更新2026-05-31 收录
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OIL-036是一个合成环境影响数据集(样本),由XpertSystems.ai构建,专注于石油和天然气泄漏事件的响应、生态系统损害、监管责任、ESG风险评分和修复分析。该数据集包含12个CSV表格,覆盖了从事件检测到羽流扩散、生态系统损害、修复、监管行动、责任索赔和ESG标签的完整泄漏影响生命周期。样本包含约5,000个泄漏事件,总计约123,000行数据。数据集基于多个公开参考源(如EPA清洁水法、NOAA、ITOPF等)进行校准,并提供了验证记分卡以确保数据质量。用途包括ESG/气候风险建模、责任和储备估计、修复成本预测、分散剂决策支持、羽流和海岸线轨迹模拟、野生动物影响评估以及传感器数据管道开发。数据集采用CC-BY-NC-4.0许可证(样本),完整产品需商业许可。

OIL-036 is a synthetic environmental impact dataset (sample) developed by XpertSystems.ai, focusing on oil and gas spill incident response, ecosystem damage, regulatory liability, ESG risk scoring, and remediation analysis. This dataset consists of 12 CSV tables, covering the full lifecycle of spill impacts ranging from incident detection, plume dispersion, ecosystem damage, remediation, regulatory actions, liability claims, to ESG labeling. The sample contains approximately 5,000 spill incidents, totaling around 123,000 data rows. This dataset is calibrated against multiple publicly available reference sources (e.g., EPA Clean Water Act, NOAA, ITOPF, etc.) and includes a validation scorecard to ensure data quality. Its applications include ESG/climate risk modeling, liability and reserve estimation, remediation cost forecasting, dispersant decision support, plume and shoreline trajectory simulation, wildlife impact assessment, and sensor data pipeline development. The dataset is released under the CC-BY-NC-4.0 license (for the sample version), while a commercial license is required for the full product.

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