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The Jefferson Project 2022 water quality data from two vertical profiler stations in Lake George, NY, USA.

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DataONE2025-07-16 更新2025-07-19 收录
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https://search.dataone.org/view/https://pasta.lternet.edu/package/metadata/eml/edi/2023/1
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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 2022, The Jefferson Project deployed two vertical profiler stations on the lake, collecting data on water quality and weather. Meteorological data have been included with the Jefferson Project Weather Station dataset for 2022. These vertical profiler stations are named VP_HarrisBay and VP_TeaIsland. The water quality data are collected by a YSI EXO2 Multi-parameter sonde sensors. The sensors collect data at 1 meter or less depth increments, starting at 1 meter and proceeding to 2 meters off bottom. The data are transferred in near real-time to an off-site database for monitoring and review. The data provided here have undergone data correction by Jefferson Project researchers.

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)技术、高性能分析与科学研究相结合,构建起环境监测与预测的全新范式。该项目正在搭建一套计算平台,用于捕获并分析由水质与水流监测传感器网络产生的各类数据。 项目将传感器数据与其他监测、实验数据进行整合,以全面解析驱动该湖泊食物网、水文状况与水质变化的各类影响因素。更多关于杰斐逊项目的信息可访问https://jeffersonproject.rpi.edu/。 2022年,杰斐逊项目在该湖泊部署了两套垂直剖面监测站,采集水质与气象相关数据。2022年杰斐逊项目气象站数据集已包含对应气象观测数据。该两套垂直剖面监测站分别命名为VP_HarrisBay与VP_TeaIsland。 本次公开的水质数据由YSI EXO2多参数声呐传感器(YSI EXO2 Multi-parameter sonde sensors)采集,传感器以不超过1米的深度间隔开展数据采集,采样起点为水深1米处,直至湖底上方2米处。数据以近乎实时的方式传输至异地数据库,用于监测与审核。本次提供的数据集已由杰斐逊项目研究人员完成数据校正工作。
创建时间:
2025-07-16
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