Outdoor CO2 Dataset (Raw) - Pla de l'Estany
Overview
ZertiAir provides a downloadable dataset of continuous outdoor CO₂ measurements collected from sensors deployed across multiple farms and regions. The dataset is accessible "as is" and contains time-series CO₂ observations suitable for independent analysis, research, and integration into external systems.
Dataset Features
Access Type
Downloadable Dataset – "As Is"
The data is available for direct download without additional processing, allowing users to perform their own analysis and transformations according to their specific needs.
Dataset Contents
The dataset contains the following measurements and metadata:
| Field | Description | Type | Example |
|---|---|---|---|
| farm | Farm name (may be "Anonymous") | Alphanumeric | "Anonymous" |
| region | County or geographical region | Alphanumeric | "Pla de l'Estany" |
| sensorId | Unique sensor identifier | Alphanumeric | "24E124126C143207" |
| co2ppm | CO₂ concentration in ppm | Numeric | 718 |
| sensorBatteryPercentage | Sensor battery percentage | Numeric | 95 |
| createdAt | Record date and time | Timestamp | "2025-11-07 20:52:33" |
Record Example
{
"farm": "Anonymous",
"region": "Pla de l'Estany",
"sensorId": "24E124126C143207",
"co2ppm": 718,
"sensorBatteryPercentage": 95,
"createdAt": "2025-11-07 20:52:33"
}
Technical Features
Format and Structure
- Format: Normalized JSON
- Average Size: 214 KB
- Update Frequency: Monthly
- Ontology: Public JSON Schema
Capture Technology
- Sensors: Zertiair CO₂ IoT
- Protocol: LoRaWAN
- Certification: Certified devices for industrial/livestock environments
- Power: Optimized for continuous operation
Data Validation
- SHA-256 Hash:
c6e6110d4390bc595b7b8e6c9b0c04e45a3e4ab3cecfdf6255972e3ca8620450 - Verification Tool
Privacy and Anonymization
The dataset has been processed following strict anonymization protocols:
Applied Measures
- ✅ Removal of direct identifiers (owner names)
- ✅ Location generalization (county/region level)
- ✅ Exclusive use of non-personal technical identifiers
- ✅ GDPR and LOPDGDD compliance
Protection Level
The data is fully anonymized and is not considered personal data under the GDPR.
Use Cases
Scientific Research
- Air quality studies in livestock environments
- Analysis of temporal emission patterns
- Research on environmental impact of pig farming operations
Comparative Analysis
- Benchmarking between different regions
- Environmental conditions assessment
- Correlation studies with operational variables
System Integration
- Integration into environmental monitoring platforms
- Development of decision support tools
- Creation of customized dashboards
Environmental Boundary Condition
This dataset serves as a reliable environmental boundary condition that can be combined with other datasets for:
- Comprehensive environmental monitoring
- Comparative evaluation (benchmarking)
- Agricultural operations analysis
- Ventilation and production studies
Dataset Access
Unique Identifier
DID: did:ope:b750d0e3adf8f81bc6e842d42e0816c62dae457f8a75456d43f3716eb369afae
Direct Download
The dataset can be downloaded directly from:
DDO Metadata
Quality and Validation
Validation Process
- Structural validation against JSON-Schema
- Consistency check of timestamps and values
- Range review of CO₂ measurements
- Quality control of sensor metadata
Guarantees
- Verified and validated data
- Guaranteed temporal consistency
- Hash-certified integrity
Regulatory Compliance
This dataset complies with:
- ✅ Regulation (EU) 2016/679 (GDPR)
- ✅ Organic Law 3/2018 (LOPDGDD)
- ✅ Regulation (EU) 2022/868 (Data Governance Act)
- ✅ UNE 0087:2025 - Data Spaces
- ✅ Gaia-X Trust Framework
Support and Contact
For inquiries about the dataset, access, or integration: