遇见数据集

Oceanographic dataset

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Mendeley Data2026-04-09 收录
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The Oceanographic dataset is a comprehensive collection of physical, chemical, and biological parameters designed for monitoring and predicting ocean deoxygenation. It includes key variables such as temperature, salinity, dissolved oxygen (DO), pH, nutrients (nitrate, phosphate, silicate), and biological indicators like chlorophyll-a concentration and primary productivity. This dataset plays a crucial role in identifying hypoxic zones, modeling oxygen dynamics, and tracking long-term deoxygenation trends driven by climate change and anthropogenic activities. By facilitating the development and validation of predictive models, it enhances the accuracy of forecasting future hypoxic events. Beyond deoxygenation analysis, the dataset supports broader applications, including climate impact studies, marine ecosystem health assessments, and policy-making for ocean conservation. With its rich temporal and spatial coverage, it serves as a valuable resource for scientific research, education, and data-driven decision-making in marine and environmental sciences.

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SRM University
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