Global Intensity-Duration-Frequency (IDF) Curves Based on Observed Sub-Daily Rainfall
Understanding extreme rainfall is critical for designing infrastructure that can withstand climate change. However, high-quality, sub-daily (hourly or less) rainfall data is often hard to find or inconsistent across different countries.
Visual representations (PNGs) of rainfall intensity vs. duration for each station.
The paper Coexisting ecotypes in long-term evolution includes a Source Data.ZIP file that contains the underlying genomic and fitness data used to track how different lineages of bacteria emerge and coexist over time.
The article highlights geographic variations in rainfall intensity and provides a standardized way for engineers and climatologists to access this data for localized risk assessment. Other Notable Uses of "data.zip" in Research
Published in Nature Scientific Data on February 14, 2026, this article provides a massive open-access dataset focused on extreme rainfall events worldwide.
The researchers compiled a global database of Rainfall Frequency Analysis (RFA) results. They used a "Generalized Extreme Value" (GEV) distribution to predict return levels for 10-year, 30-year, and 100-year storm events.
Global Intensity-Duration-Frequency (IDF) Curves Based on Observed Sub-Daily Rainfall
Understanding extreme rainfall is critical for designing infrastructure that can withstand climate change. However, high-quality, sub-daily (hourly or less) rainfall data is often hard to find or inconsistent across different countries.
Visual representations (PNGs) of rainfall intensity vs. duration for each station.
The paper Coexisting ecotypes in long-term evolution includes a Source Data.ZIP file that contains the underlying genomic and fitness data used to track how different lineages of bacteria emerge and coexist over time.
The article highlights geographic variations in rainfall intensity and provides a standardized way for engineers and climatologists to access this data for localized risk assessment. Other Notable Uses of "data.zip" in Research
Published in Nature Scientific Data on February 14, 2026, this article provides a massive open-access dataset focused on extreme rainfall events worldwide.
The researchers compiled a global database of Rainfall Frequency Analysis (RFA) results. They used a "Generalized Extreme Value" (GEV) distribution to predict return levels for 10-year, 30-year, and 100-year storm events.
