The Jefferson Project 2020 hydrologic, water quality, and soil quality data from 12 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 2020, The Jefferson Project had twelve 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_Sucker, 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 are transferred in near real-time to off-site databases for monitoring and review by Jefferson Project researchers. The data provided here are 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）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）联合发起的科研项目。该项目将物联网（Internet of Things, IoT）技术、先进分析技术与环境科学相结合，构建起全新的环境监测与预测范式。
该项目正着手搭建一套计算平台，可捕获并分析由用于监测水质与水流的传感器网络所产生的各类数据。这些传感器数据将与其他监测及实验数据整合，以全面解析驱动该湖泊食物网、水文状况与水质变化的核心影响因素。更多关于杰斐逊项目的详细信息可访问官网：https://jeffersonproject.rpi.edu/
2020年，乔治湖杰斐逊项目在湖泊周边共建有12处支流监测站，用于采集水质、土壤质量及水文相关数据。这12个监测站点分别为：TS_Finkle、TS_Hague、TS_Indian、TS_NorthwestBay、TS_Outlet、TS_PoleHill、TS_English、TS_Sunset、TS_Sucker、TS_ShelvingRock、TS_East及TS_West。
各监测站搭载的传感器组件可包含以下部分或全部设备：YSI EXO2多参数探头（YSI EXO2 Multi-parameter sonde）、坎贝尔科学CS451压力传感器（Campbell Scientific CS451 pressure transducer）、SonTek-IQ+多波束声学流量计（SonTek-IQ+ multi-beam acoustic flow meter）、Sontek-SL多普勒流速仪（Sontek-SL Doppler current meter）、YSI WaterLOG® H-3123浸入式压力传感器（YSI 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），数据会以近乎实时的方式传输至异地数据库，供杰斐逊项目研究人员开展监测与分析工作。本次提供的数据集为经过数据校正与降采样至小时级频率的4级数据。