全球湖泊溶解氧数据集（2003-2023年）

溶氧是维持湖泊水体生物多样性、驱动有机物分解与能量流动的核心要素，其浓度变化直接影响着湖泊生态系统健康和水质安全。综合大规模湖泊实测数据集和卫星遥感等数据，结合机器学习算法，构建了适合全球尺度的湖泊水体溶氧浓度量化模型，系统分析了过去20年来全球超过15,000个湖泊的表层溶解氧变化趋势，量化了气候长期变暖和热浪事件对溶氧浓度的影响。 数据集包含2003-2023年15000多个湖泊的表层溶解氧含量。 数据集包含一个表格文件，全球2003-2023年溶解氧数据集.xlsx。Dissolved oxygen (DO) is a core determinant for sustaining aquatic biodiversity in lakes, driving organic matter decomposition and energy flow. Fluctuations in DO concentration directly impact the health of lake ecosystems and water quality security. By integrating large-scale in-situ lake observation datasets, satellite remote sensing data and other relevant data, and leveraging machine learning algorithms, we developed a global-scale quantitative model for lake dissolved oxygen concentration. We systematically analyzed the trends in surface dissolved oxygen of more than 15,000 global lakes over the past two decades, and quantified the impacts of long-term climate warming and heatwave events on dissolved oxygen concentrations. This dataset contains surface dissolved oxygen content data from over 15,000 lakes spanning the period 2003 to 2023. The dataset includes a spreadsheet file named Global 2003-2023 Dissolved Oxygen Dataset.xlsx.