CO2 Analysis (Zertiair)
Explore Zertiair resources for CO2 monitoring and analysis. This section offers access to both raw datasets for independent research and advanced Compute-to-Data algorithms that allow extracting environmental intelligence—from temporal and regional patterns to anomaly detection—without compromising data privacy.
Analysis by Region
📍 CO₂ Analysis Pla de l'Estany
Access to CO₂ datasets from the Pla de l'Estany region, including downloadable raw measurements and advanced analytics via Compute-to-Data.
- Raw CO₂ Dataset
- C2D CO₂ Dataset
- Multi-farm analysis
- Analytics algorithms
📍 CO₂ Analysis Garraf (ADQA)
Access to CO₂ datasets from the Garraf region (ADQA), including downloadable raw measurements and advanced analytics via Compute-to-Data.
- Raw CO₂ Dataset
- C2D CO₂ Dataset
- Multi-farm analysis
- Analytics algorithms
Zertiair Algorithms
Sensor Analytics
Analyzes the sensor population, sampling behavior, battery performance, and detects abnormal discharge patterns, all completely within a Compute-to-Data environment.
Temporal Analytics
Analysis of day-night temporal behavior of CO₂, identifying cyclic patterns and trends over time.
Regional Analytics
Generation of regional CO₂ footprints to compare and contrast environmental conditions between different geographical locations.
Local Analytics
Detailed local analysis to understand microclimatic variations and site-specific effects on CO₂ measurements.
Anomalies Analytics
Advanced anomaly detection to identify instability, outliers, and potential data quality issues or extreme environmental conditions.