
This publicly released dataset provides a global assessment of marine heatwave-induced coral reef thermal stress metrics at the reef-pixel scale (~25 km) from 1982 to 2024. It improves understanding of how climate change affects coral reef ecosystems by characterizing marine heatwaves and related thermal stress across more than four decades. Jupyter notebooks and data to reproduce the figures in the submitted manuscript "Global Coral Reef Thermal Stress: Patterns, Trends, and Emerging Regimes" in the Environmental Research Letters by Busireddy et al. (2025) are provided here.
When running the code in a Jupyter Notebook, users will be prompted to enter the directory path to the CSV dataset file (e.g., Global_coral_reefs_thermal_stress_metrics_1982_2024.csv). After typing the path, press Enter to continue.If the input is left blank, the script automatically uses the current working directory.
Marine Heatwaves, Coral Reefs, Unsupervised Machine Learning
Marine Heatwaves, Coral Reefs, Unsupervised Machine Learning
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
