Intcatch aquatic drone sensor dataset

This dataset contains sensor traces (multivariate time series) of six data acquisition campaigns performed by autonomous aquatic drones involved in water monitoring. A total of 5.6 hours of navigation are available, with data coming from both lakes and rivers, and from different locations in Italy and Spain. The monitored variables concern both the internal state of the drone (e.g., battery voltage, GPS position and signals to propellers) and the state of the water (e.g., temperature, dissolved oxygen and electrical conductivity). Data were collected in the context of the EU-funded Horizon 2020 project INTCATCH (http://www.intcatch.eu) which aims to develop a new paradigm in the monitoring of river and lake water quality. Both autonomous and manual drive is used in different parts of the navigation.本数据集收录了六项由参与水环境监测的自主水下无人机（autonomous aquatic drones）执行的数据采集任务所生成的传感器轨迹（多变量时间序列，multivariate time series）。数据集累计涵盖5.6小时的航行数据，采集范围覆盖意大利与西班牙境内的多个湖区与河道点位。监测变量同时包含无人机内部状态（如电池电压、GPS定位信息与螺旋桨驱动信号）以及水环境状态（如水温、溶解氧与电导率）。本数据集采集自欧盟资助的Horizon 2020框架计划项目INTCATCH（http://www.intcatch.eu），该项目旨在构建河湖水质监测的全新范式。本次航行任务的不同区段同时采用了自主航行与手动操控两种操控模式。