Dataset: Greifensee Chlorophyll-a forecasting based on deep learning 2019-2021
收藏DataCite Commons2022-05-06 更新2024-07-13 收录
下载链接：
https://opendata.eawag.ch/dataset/data-for-dl-forecasting
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资源简介：
CTD, Meteo, nutrient chemistry and Aquascope camera data, used to predict Chl-a as part of Gabriel Vallat civil service project.There is a data set with daily averages and one with hourly measurements. In each dataset a single average value was calculated across the photic zone (0-8m) for each profile, and zooplankton and phytoplankton cluster abundances were estimated using machine learning classifier output of Aquascope camera data (more information about aquascope see https://doi.org/10.1016/j.watres.2021.117524 https://doi.org/10.25678/0004BW)
提供机构：
Eawag: Swiss Federal Institute of Aquatic Science and Technology
创建时间：
2022-05-02
