This repository contains data and research findings on Spatiotemporal Analysis of Climate Change Phenomena for Predicting Rice Productivity in Central Java Province by 2030 . The study utilizes
All data supporting the findings of this study are available at Figshare, and include soil and crop P measurements, climate records, Fe–OC complexation data, and statistical model outputs from the 12-
This data intends to show the analysis of B73 inbred line maize plants grown at ambient (415 ppm CO 2 ) and elevated CO 2 levels (700 ppm) in separate Conviron growth chambers. Half
Agricultural climate metrics were derived for the National Climate Risk Assessment.\n\nThis data collection describes the agricultural climate metrics derived from projections of climate variables acr
