Ethiopia Rangeland Mask

This dataset contains the Ethiopian dataset on the Irrigated Lands , from the Waterdata , Global Irrigated Area for Mapping for the nominaL year of 2000 using satellite images at the resolution of about 5000 metres

The dataset contains global crop at 0.0089286 deg resolution (about 1 squared kilometer).   Each pixel represents the area fraction of the specific cover (i.e. percentage of the pixel with rangelands)

The dataset contains global crop at 0.0089286 deg resolution (about 1 squared kilometer).

Gridded datasets used in Jones et al. (2021) paper 'Agrobiodiversity Index scores show agrobiodiversity is underutilized in national food systems'. Details of how datasets were made and underlying sources are provided in Jones et al. (2021) Supplementary Information - with a resolution of 0.05* 0.05 pixels approximately 5000 metres and referenced 2022

Aridity index (AI) is an effective estimator of drought status, and spatiotemporally continuous long-term AI dataset is critical for drought assessment and applications.This dataset offers valuable support for research on dryland ecosystems, agriculture, and climate change, offering critical insights to address global environmental and sustainability challenges. Resolution ;0.05 × 0.05   in the resolution  ( referenced year 2022)

This dataset contains the most up to date version of GLW 4 for the reference year 2020 for the following species: buffalo, cattle, sheep, goats, pigs and chicken,at the resolution of 0.05 ×0.05 ,  The fourth version of GLW, compared to the previous ones, reflects the most recently compiled and harmonized subnational livestock distribution data