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Multi-Farm CO2 Analytics (Compute-to-Data) - Pla de l'Estany

Overview

Exclusive access to outdoor CO₂ measurements from multiple farms through Compute-to-Data algorithms. Instead of downloading raw sensor data, users obtain privacy-safe analytics, including sensor health metrics, regional CO₂ footprints, day-night temporal behavior, and anomaly detection.

Zertiair C2D Dataset

Dataset Features

Access Type

Computed Asset – Algorithm Only

The data is not downloaded directly. Instead, users run authorized algorithms that process the data in-situ and return only the analytical results.

Compute-to-Data Paradigm (C2D)

This approach allows outdoor CO₂ to function as a reliable boundary condition for advanced models without exposing raw measurements, enabling secure reuse and monetization of environmental intelligence.

Available Algorithms

The dataset includes access to five free algorithms for enrichment and analysis:

1. Sensor Inventory & Battery Health Analytics

Sensor Inventory and Health Analytics

Analyzes sensor population, sampling behavior, battery performance, and detects abnormal discharge patterns - entirely within a Compute-to-Data environment.

Generated outputs:

  • Complete inventory of active sensors
  • Sampling frequency statistics
  • Battery health analysis
  • Abnormal discharge pattern detection
  • Preventive maintenance prediction

View Algorithm Details →

Temporal CO₂ Analytics

Analyzes diurnal patterns, trends, and temporal anomalies in CO₂ data for sensors and regions.

Generated outputs:

  • Day/night CO₂ concentration patterns
  • Short and long-term temporal trends
  • Cycle and periodicity identification
  • Temporal anomaly detection
  • Period-to-period comparisons

View Algorithm Details →

3. Regional CO₂ Analytics & Benchmarking

Regional Analytics and Benchmarking

Calculates regional CO₂ statistics, trends, and variability to enable secure multi-location comparisons without exposing raw sensor data.

Generated outputs:

  • Regional CO₂ footprints (averages, medians, percentiles)
  • Anonymized inter-regional comparisons
  • Regional variability analysis
  • Geographic outlier identification
  • Air quality rankings by region

View Algorithm Details →

4. Sensor-Level CO₂ Analytics & Pollution Benchmarking

Sensor-Level Analytics

Detects high-pollution sensors, volatility, and abnormal behavior through secure per-sensor CO₂ analytics.

Generated outputs:

  • Identification of sensors with high CO₂ concentration
  • Per-sensor volatility analysis
  • Inter-sensor pollution comparisons
  • Atypical behavior detection
  • Individual performance metrics

View Algorithm Details →

5. Advanced CO₂ & Sensor Anomaly Detection

Advanced Anomaly Detection

Identifies extreme events, spikes, drift, and second-order anomalies across sensors and regions.

Generated outputs:

  • Extreme CO₂ event detection
  • Abnormal spike identification
  • Sensor drift analysis
  • Second-order anomalies (pattern changes)
  • Early malfunction warnings

View Algorithm Details →

Advantages of the C2D Model

Privacy and Data Sovereignty

  • Data never leaves the controlled environment
  • ✅ Total data provider sovereignty
  • ✅ No re-identification risk
  • ✅ Automatic GDPR compliance

Security

  • ✅ Only authorized algorithms can be executed
  • ✅ Complete execution traceability
  • ✅ Audit of all accesses
  • ✅ Granular permission control

Monetization

  • ✅ Value generation without exposing raw data
  • ✅ Usage-based economic model
  • ✅ Automatic provider compensation
  • ✅ Algorithm marketplace

Technical Features

Infrastructure

  • Platform: Ocean Enterprise v1
  • Data Space: RegenAg-X (Gaia-X Lighthouse Project)
  • Execution: Secure Compute-to-Data environments
  • Blockchain: Immutable execution registry

Governance

  • Identities: Self-Sovereign Identity (SSI)
  • Policies: Automated smart contracts
  • Credentials: Verifiable Credentials (VC)
  • Traceability: Complete and auditable

Processed Data

  • Origin: Time-series CO₂ data from multiple farms
  • Frequency: Monthly update
  • Quality: Validated and certified
  • Coverage: Multi-region, multi-sensor

Use Cases

Advanced Research

  • Complex pattern analysis without raw data access
  • Multi-farm studies preserving privacy
  • Predictive model development
  • Sustainability research

Commercial Services

  • Development of proprietary algorithms on certified data
  • Analytics-based consulting services
  • Environmental monitoring SaaS products
  • Sector benchmarking tools

Compliance and Reporting

  • Sustainability report generation
  • Certified environmental audits
  • Evidence for certifications
  • Automated regulatory compliance

Dataset Access

Unique Identifier

DID: did:ope:a9f5bca326976e3a12c25d1d8bee85389f81895dc0fcb492c9a062417e8746aa

C2D Service Access

  • RegenAg-X Marketplace
  • Requires Web3 authentication
  • Needs Verifiable Credentials (VC) according to policies

DDO Metadata

Complete DDO Metadata

Access Policies

Available Modalities

  1. Access via public algorithms (5 free algorithms)
  2. Custom algorithm development (requires authorization)
  3. Access via Verifiable Credentials (VC)

Access Control

  • Whitelists via Web3 wallets
  • Provider-configurable policies
  • Rules based on VC possession
  • Complete execution traceability

Economic Model

For Data Providers (Megatró SL)

  • Compensation for data usage
  • No loss of sovereignty
  • Continuous monetization
  • Total control over policies

For Data Consumers

  • Access to high-quality certified data
  • No storage needs
  • Pay per actual use
  • Optimized algorithms included

Regulatory Compliance

This C2D dataset complies with:

  • ✅ Regulation (EU) 2016/679 (GDPR) - Privacy by Design
  • ✅ Regulation (EU) 2022/868 (Data Governance Act)
  • ✅ European Data Regulation (Data Act)
  • ✅ Regulation (EU) 2024/1689 (AI Act)
  • ✅ UNE 0087:2025 - Data Spaces
  • ✅ Gaia-X Trust Framework

Comparison: Raw vs C2D

FeatureRaw DatasetC2D Dataset
Data download✅ Yes❌ No
Maximum privacy⚠️ Anonymized✅ Absolute
Included algorithms❌ No✅ 5 free
Advanced analysisManual✅ Automated
MonetizationOne-time✅ Recurring
Data sovereigntyShared✅ Total
Ideal forBasic researchCommercial services

Next Steps

🚀 Get Started

  1. Obtain Web3 wallet
  2. Access the marketplace
  3. Select algorithm
  4. Execute analysis

📚 Explore Algorithms

Discover the five available algorithms and their analytical capabilities.