The Jefferson Project 2018 hydrologic, water quality, and soil quality data from 11 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, hydrology, and water quality. More information about The Jefferson Project is available at <https://jeffersonproject.rpi.edu/> In 2018, The Jefferson Project had eleven 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_English, TS_Sunset, TS_ShelvingRock, TS_East, and TS_West. The stations have a sensor payload that may include some or all of the following sensors: YSI EXO2 Multi-parameter sonde, Campbell Scientific CS451 pressure transducer, SonTek-IQ+ multi-beam acoustic flow meter, Sontek-SL Doppler current meter, YSI 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 downsampling to an hourly frequency.

乔治湖杰斐逊项目（The Jefferson Project at Lake George）——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）联合发起——将物联网（Internet of Things, IoT）技术、高性能分析与环境科学研究相结合，打造出一套全新的环境监测与预测范式。该项目正搭建一套集成化计算平台，可捕获并分析由监测水质与水体运动的传感器网络所产生的全量数据。这些传感器数据将与其他监测及实验数据集融合，以全面解析驱动该湖泊食物网、水文过程与水质变化的核心影响因素。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/>。2018年，杰斐逊项目在乔治湖周边布设了11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_English、TS_Sunset、TS_ShelvingRock、TS_East及TS_West。各监测站搭载的传感器载荷可包含以下部分或全部设备：YSI EXO2多参数水质探头、Campbell Scientific CS451压力传感器、SonTek-IQ+多波束声学流量仪、Sontek-SL多普勒流速仪、YSI WaterLOG® H-3123沉入式压力传感器，以及Stevens HydraProbe土壤湿度传感器。上述传感器以高频模式采集数据（约每分钟1次采样），并近乎实时地将数据传输至异地数据库，供杰斐逊项目研究人员开展监测与分析。本次对外提供的数据为4级数据，已完成数据校正与降采样处理，采样频率降至每小时1次。