Water-Quality Dataset for Machine-Learning-Based Mosquito Larva Prediction and Non-Chemical Elimination (Ripplify Project)
收藏官方服务：
资源简介：
This dataset contains 310 raw physicochemical water quality measurements (pH, temperature, electrical conductivity, total dissolved solids, and turbidity) across 31 controlled water samples used to train and validate the Ripplify Random Forest classification model. The study was conducted in Barangay San Antonio, Biñan City, Laguna, Philippines.
提供机构：
Zenodo创建时间：
2026-08-29
