The dataset includes detailed field experiments from four locations across a temperature gradient along the River Nile. The data covering four contrasting environments from North (low temperature) to South (high temperature), includes Sakha (North de

Agroecological studies on sugarcane dealing with genotype by environment by management interactions commonly generate complex datasets. To facilitate the use of these datasets, a relational database, named ECOFI, was designed from the analysis of the

Initial functionality is focused on getting solar radiation data for a given latitude and longitude. Other solar radiation and meteorological query parameters will be available in subsequent versions.

PyETo is a Python library for calculating reference crop evapotranspiration (ETo), sometimes referred to as potential evapotranspiration (PET). The library provides numerous functions for estimating missing meteorological data.

A parser for USDA plant hardiness zones. That data is provided in bulk by the PRISM Climate Group at Oregon State University. This combines the four bulk files with ZIP location data, and creates a JSON file for each ZIP, functioning as a static API.

The GSOD or Global Surface Summary of the Day (GSOD) data provided by the US National Centers for Environmental Information (NCEI) are a valuable source of weather data with global coverage. {GSODR} aims to make it easy to find, transfer and format t