EddyEye Suite unifies Map, Pulse, Hub and ELog into a comprehensive ecosystem that empowers scientists and technicians to track ecosystem health, gain insights from flux data, respond quickly when issues arise, and maintain systematic documentation of field operations.
Four powerful tools for comprehensive data control, analysis and documentation
Monitoring and visualization system designed to support researchers and technical teams working with distributed environmental measurement networks.
Advanced dashboard for rapid detection of outages, sensor interference, or logger failures through comprehensive high-frequency data monitoring.
Comprehensive dashboard for analyzing ecosystem flux dynamics across weekly, monthly, and annual scales with advanced data summarization capabilities.
Specialized documentation system that supports researchers and engineers in maintaining systematic records of field observations and equipment performance across distributed monitoring networks.
Monitoring and visualization system designed to support researchers and technical teams working with distributed environmental measurement networks.
EddyEye Map enables continuous oversight of field stations, providing real-time status information and facilitating rapid identification of operational issues across geographically dispersed monitoring infrastructure. It assists specialists in maintaining data quality standards by automatically assessing measurement completeness and detecting anomalies in observational records.
The platform offers intuitive visual representations that help researchers quickly understand the operational state of their monitoring network and identify stations requiring attention. By consolidating status information and diagnostic details in a centralized interface, EddyEye Map reduces the time and effort required for routine monitoring tasks, allowing scientists to focus on data analysis and research objectives rather than manual system checks.
Experience the full monitoring interface
Note: Demo data are randomly generated for demonstration purposes and do not represent actual field measurements.
Intelligent real-time detection system for rapid identification and resolution of operational issues across your monitoring network.
EddyEye Pulse provides continuous surveillance of high-frequency data streams with adaptive site-specific intelligence. The system maintains dynamic baselines across multiple signal types and employs advanced pattern recognition to identify meaningful deviations from normal operational parameters.
When anomalies are detected, our sophisticated scoring algorithm evaluates the significance and potential impact, ensuring only actionable alerts reach your team. All timestamps are automatically normalized to local time zones, and each alert includes diagnostic information with recommended remediation steps.
Experience the full monitoring interface
Note: Demo data are randomly generated for demonstration purposes and do not represent actual field measurements.
Advanced dashboard delivering daily updates of multi-frequency flux data with EddyPro© integration across weekly, monthly, and annual time scales for comprehensive ecosystem analysis.
EddyEye Hub operates a sophisticated daily processing pipeline that automatically retrieves multi-temporal datasets from SQL servers, performs comprehensive timestamp normalization, and conducts thorough data completeness validation. Advanced quality control algorithms filter anomalous spikes and artifacts while preserving data integrity.
The system generates analysis-ready 30-minute datasets and integrates seamlessly with EddyPro© software for automated flux calculations based on project-specific metadata. All processed data is presented through an intuitive, interactive web interface designed for scientific analysis workflows.
Explore comprehensive data analysis tools
Note: Demo data are randomly generated for demonstration purposes and do not represent actual scientific measurements.
Specialized documentation system that supports researchers and engineers in maintaining systematic records of field observations and equipment performance across distributed monitoring networks.
EddyEye ELog assists scientific teams in organizing incident reports, documenting maintenance procedures, and coordinating scheduled activities related to environmental or technical monitoring projects. Research groups benefit from enhanced traceability of field operations, improved collaboration between team members, and standardized documentation practices that support data quality assurance.
The system facilitates communication workflows that help specialists stay informed about equipment status and operational requirements across multiple research sites. By providing structured approaches to record-keeping and task coordination, EddyEye ELog enables research teams to maintain more consistent data collection protocols and equipment reliability standards. This contributes to improved research data integrity, better resource allocation for field operations, and enhanced reproducibility of long-term monitoring studies.
Streamlined field record management
Note: Demo data are randomly generated for demonstration purposes and do not represent actual field records.