2017 hydrologic, water quality, and soil quality data from The Jefferson Projects 8 Tributary Stations within the Lake George basin, NY, USA.

The Jefferson Project at Lake George – a partnership between Rensselaer Polytechnic Institute, IBM Research, and Lake George Association – combines Internet of Things technology and powerful analytics with science to create a new model for environmental monitoring and prediction. The project is building a computing platform that captures and analyzes data from a network of sensors tracking water quality and movement. These sensor data are combined with other monitoring and experimental data to create a thorough understanding of the factors that drive the lake’s food web and overall water quality. More information about The Jefferson Project is available at https://jeffersonproject.rpi.edu/ In 2017, The Jefferson Project had eight tributary monitoring stations around the lake collecting data on water quality, soil quality and hydrology. These stations are TS_Finkle, TS_Hague, TS_Indian, TS_NorthwestBay, TS_Outlet, TS_PoleHill, TS_ShelvingRock and TS_West. The stations have a sensor payload that may include some or all of the following sensors: EXO2 Multi-parameter sonde, CS451 pressure transducer, SonTek-IQ+ multi-beam acoustic flow meter with five 3.0 MHz transducers, Argonaut-SL Doppler current meter, WaterLOG® H-3123 submersible pressure transducer, and Stevens HydraProbe soil moisture sensor. The sensors collect data at high-frequency (~1 sample per minute) and the data is transferred in near real-time to off-site databases for monitoring and review by Jefferson Project researchers. Data provided is level 4 data which underwent data correction and down sampling to an hourly frequency.

乔治湖杰斐逊项目（The Jefferson Project at Lake George）是由伦斯勒理工学院（Rensselaer Polytechnic Institute）、IBM研究院（IBM Research）与乔治湖协会（Lake George Association）联合开展的合作项目，该项目将物联网（Internet of Things, IoT）技术、高性能分析能力与科研工作相结合，构建全新的环境监测与预测范式。该项目正搭建一套计算平台，可捕获并分析由监测水质与水体流动的传感器网络所生成的数据。这些传感器数据将与其他监测及实验数据融合，以全面解析驱动该湖泊食物网与整体水质变化的各类影响因素。如需了解杰斐逊项目的更多详情，可访问官方网站：https://jeffersonproject.rpi.edu/。2017年，乔治湖杰斐逊项目在湖泊周边布设了8处支流监测站，用于采集水质、土壤质量与水文相关数据。这些监测站分别为TS_Finkle、TS_Hague、TS_Indian、TS_NorthwestBay、TS_Outlet、TS_PoleHill、TS_ShelvingRock与TS_West。各监测站搭载的传感器套件可包含以下部分或全部设备：EXO2多参数水质探头（EXO2 Multi-parameter sonde）、CS451压力传感器（CS451 pressure transducer）、配备5台3.0 MHz换能器的SonTek-IQ+多波束声学流量仪（SonTek-IQ+ multi-beam acoustic flow meter with five 3.0 MHz transducers）、Argonaut-SL多普勒流速仪（Argonaut-SL Doppler current meter）、WaterLOG® H-3123水下压力传感器（WaterLOG® H-3123 submersible pressure transducer），以及Stevens HydraProbe土壤湿度传感器（Stevens HydraProbe soil moisture sensor）。上述传感器以高频模式采集数据（约每分钟1个样本），并将数据近乎实时地传输至异地数据库，供杰斐逊项目研究人员开展监测与研判工作。本次提供的数据为经过数据校正与降采样至小时级频率的4级数据（level 4 data）。