Flow through measurement data Finland SYKE - TIETO I boat/system

Flow-through measurement data from Finland Syke – TIETO I boat/system (line/profile)

Region: Finland – Uusimaa area (Helsinki and Lake Tuusulanjärvi)

Abstract

TIETO I is designed to observe spatial and temporal variation in water quality and optical properties. This dataset was produced using the TIETO I flow-through measurement system developed by the Finnish Environment Institute (Syke). The system consists of a mobile platform (“boat”) and a modular measurement setup for ponds, rivers, lakes, and coastal areas. It enables high-resolution monitoring of water quality parameters, greenhouse gases, radiation, and meteorological conditions.

TIETO I includes:

• Weather station (WXT530/536)
• Radiation sensors (PAR and net radiation)
• High-precision GNSS and IMU (Trimble BX992)
• Flow tracking via rhodamine sensor
• Flow-through water quality system (EXO2, CO₂-Pro CV, Mini-CH₄ or FT, CO₂-Pro FT)
• Profiling sensors (LI-COR PAR, Keller pressure/temperature)
• Dual data loggers with real-time transmission
• Onboard PC for live data visualization
• Python-based data calibration and quality control tools

The system follows protocols outlined in Best Practices for the Collection and Processing of Ship-Based Underway Flow-Through Optical Data (v4.0) (Boss et al., 2019) and includes the recommended MSRC VDB-1 Vortex Debubbler (Seabird, 2023). TIETO I is part of SYKE’s registered scientific equipment infrastructure.

Purpose

TIETO I is designed to study spatial and temporal variation in water quality, greenhouse gas concentrations and fluxes, evaporation, and radiation. It supports environmental monitoring, research, and modelling efforts, particularly in freshwater and coastal ecosystems.

Quality Assurance

All measurement phases are carefully documented to ensure traceability and reliability. Calibration procedures, maintenance logs, and correction protocols are applied systematically. Python scripts are used for data cleaning, calibration, and quality control.

Contents

• TIETO_I_System_description.pdf: System overview and file structure
• Metadata_template.xlsx: Measurement areas and available datasets
• Tieto1_datankäsittely.pdf: Python usage instructions (in Finnish)
• V1_Python_codes.zip: Python scripts for data quality control
• ZENODO_data_24102025.zip:
  • .csv: raw data (example of raw file as 2025: ALL_DATA_2025-05-25_12_00-2025-05-26_12_02.csv
  • .json: raw data with accurate timestamps
  • .xlsx: metadata and quality-controlled data (available)

Acknowledgements

This work has been carried out as part of the AquaINFRA project.

Funding

This work has been carried out as part of the HEU AquaINFRA project (grant agreement No 101094434) with Flagship Programme funding granted by the Research Council of Finland for Digital Waters Flagship (decision no. 359250).

Keywords

Water quality, greenhouse gases, flow-through system, environmental monitoring, freshwater, coastal ecosystems, GNSS, PAR, CH₄, CO₂, SYKE, TIETO I

References

Boss et al. (2019). Ship-Based Underway Flow-Through Optical Data Protocols v4.0. IOCCG

MSRC VDB-1 Vortex Debubbler – SoMAS

SYKE Flow-through System Description

Digital Waters Flagship – DIWA-RI: Digital Waters Flagship (DIWA) & Doctoral education pilot

AquaInfra: Infrastructure for Marine and Inland Water Research (AquaINFRA)

Syke infra pages: Tutkimusinfrastruktuurit

Important notes:

• Not all locations include water samples, even though sensors are calibrated.
• Use of CH₄ sensor values should be considered carefully due to challenges in applying these sensors in flow-through systems.