Kurnianingsih K

This dataset provides turbidity measurements collected during a Moringa oleifera leaf water treatment process for compound extraction. The extraction process was conducted over a 15-minute duration, capturing key changes in turbidity to reflect the dynamics of the process. The raw data has been preprocessed, upsampled, and annotated for time series analysis, enabling detailed investigation of extraction patterns. Additionally, the dataset has been optimized using the ForGAN (Forecasting GAN) algorithm to enhance data granularity and support predictive modeling.

We provide a curated time series video dataset of 10,876 frames from 37 neonates, of which some were healthy and some had asphyxia of varying severity. We obtained video recordings using standardized RGB cameras positioned to capture the skin region of the neonates while minimizing interference with standard clinical care and maintaining consistent video quality. This study has the following technical specifications: a frame rate of 30 frames per second, a resolution of 1920×1080 pixels, and a color depth of 24-bit RGB.