Georeferenced Multimodal Water Quality Dataset from Lago do Serpa (Amazon, Brazil)

This dataset contains georeferenced physicochemical water quality measurements collected in Lago do Serpa (Itacoatiara, Amazonas, Brazil).

The dataset includes spatial coordinates (latitude and longitude) and water quality parameters: pH, dissolved oxygen (DO), temperature (TEMP), apparent color (COR_A), true color (COR_V), and turbidity (TURB).

Data were obtained through in-situ sampling campaigns and organized in CSV format. The dataset is suitable for spatial interpolation analyses (e.g., IDW), environmental modeling, and machine learning experiments.

These data were used to evaluate multimodal spiking neural networks (SNNs) and edge inference performance across different embedded platforms, including Raspberry Pi, Android devices, and ESP32 microcontrollers, with benchmarking of latency and energy consumption.

The dataset supports research in environmental monitoring, edge artificial intelligence, and spatial modeling in low-connectivity regions such as the Amazon.