MARSS-2025 Marine IoT Sensor Dataset

The MARSS-2025 dataset presents a rich and diverse collection of environmental and operational sensor data from a marine IoT deployment spanning the Oslofjord coastal region. This dataset has been collected by the Norwegian Institute for Water Research (NIVA) and is part of ongoing efforts to enhance environmental monitoring and ensure the security and resilience of marine IoT systems in dynamic, biologically active waters. Key Features and Coverage Timestamps: Data points are captured every 5 minutes, covering a comprehensive period from January 1, 2019, to March 1, 2025. This fine-grained temporal resolution supports the analysis of short-term fluctuations and long-term trends. Location Data: The dataset includes latitude and longitude values to map sensor placement across the marine area, supporting geospatial analysis and spatial variability studies. Environmental Measurements: Water Temperature (°C) Salinity (PSU) Dissolved Oxygen (mg/L) Chlorophyll-a Concentration (µg/L) Turbidity (NTU) pH Level Nitrate, Phosphate, and Ammonium Levels (mg/L) Sunlight Intensity (W/m²) Wind Speed (m/s) Wave Height (m) Internal Sensor Temperature (°C) Operational and Communication Metrics: Sensor ID and Cluster ID Firmware Checksum Versions Battery Voltage (V) RSSI Signal Strength (dBm) Data Transmission Delay (s) Packet Loss Rate (%) Transmission Frequency (Hz) Sensor Model and Communication Protocol Neighbor Sensor Distance (m) Uptime Duration (hours) Multiclass Spoofing Labels:The dataset includes a multiclass label (spoofing_class) indicating normal or spoofed conditions, accounting for real-world sensor noise and interference events.