Telemetry Dataset and Analysis Tools for the paper "Underwater Drone for Sea Arctic Ice Restoration"

This dataset and analysis code accompany the paper Underwater Drone for Sea Arctic Ice Restoration (tentative: Calisti et al., Science Robotics, 2026). The data were collected during a field campaign conducted over 8 days in Hailuoto, Finland (February 2026), using RINO, a prototype underwater vehicle designed for heat-based ice penetration and water pumping for Arctic sea ice thickening. Dataset contents: MAVLink telemetry logs (.tlog) from 6 operational field days Onboard video recordings (.mkv) synchronized with telemetry External power monitor logs (.csv) recording current draw Manually labelled event file (event_labelling.csv) identifying contact, penetration, pumping, exit, and on-land phases Pre-computed event features (event_features.csv) Code contents: Python scripts for telemetry signal processing, derived signal computation (depth, ice thickness), event feature extraction, and synchronized video visualization See README.md for installation and usage instructions