The Jefferson Project 2020 weather data from seven surface weather stations on Lake George, 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 seven weather monitoring stations around the lake collecting data on precipitation, temperature, wind speed, wind direction, barometric pressure, and relative humidiity. These stations are WX_CedarLane, WX_DFWI, WX_GullRock, WX_MossyPoint, WX_WhaleRock, WX_PilotKnob, and WX_Glenburnie. The stations have a sensor payload that include some combination of the following sensors: Rotronic HC2-S3 sensor, Campbell Scientific CS616 soil moisture sensor, Li-Cor LI-200R pyranometers, RM Young 85006 anemometer, Vaisala Weather Transmitter WXT series (520 & 530 models), HyQuest TB3 tipping bucket rain gauge, and N-Con wet deposition sampler. 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 has undergone 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、高级分析技术与科学研究相结合，打造环境监测与预测领域的全新范式。该项目正在搭建一套计算平台，可捕获并分析由监测水质与水体运动的传感器网络生成的数据。此类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、水文过程与水质变化的核心因素。更多关于杰斐逊项目的信息可访问https://jeffersonproject.rpi.edu/

2020年，杰斐逊项目在湖泊周边布设了7座气象监测站，用于采集降水、气温、风速、风向、气压与相对湿度等气象数据。这些监测站分别为WX_CedarLane、WX_DFWI、WX_GullRock、WX_MossyPoint、WX_WhaleRock、WX_PilotKnob及WX_Glenburnie。

各监测站搭载的传感器有效载荷可组合搭载以下部分或全部传感器：Rotronic HC2-S3传感器、Campbell Scientific CS616土壤湿度传感器、Li-Cor LI-200R太阳辐射传感器、RM Young 85006风速仪、维萨拉（Vaisala）WXT系列气象变送器（型号涵盖520与530）、HyQuest TB3翻斗式雨量计以及N-Con湿沉降采样器。

上述传感器以高频模式采集数据（约每分钟1次采样），采集所得数据将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四级处理后数据，已完成数据校正与降采样，最终输出频率为每小时1组。