This dataset was created during a study assessing the impacts of climate change on climate/land suitability and the quality of tea in Sri Lanka, specifically Camellia sinensis (L) O. Kuntze. Data for chemical analysis of tea biochemicals were collected through sample collection during field visits over the years from 2018 to 2020 and subsequent chemical analysis. Data for climate modelling were collected from online databases, Departments of Climate and Meteorology of Sri Lanka. Data for geospatial analysis were gathered from shapefiles, Department of Agriculture Sri Lanka. This data was then used to model climate/land and tea quality.

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The University of New England respects and acknowledges that its people, programs and facilities are built on land, and surrounded by a sense of belonging, both ancient and contemporary, of the world's oldest living culture. In doing so, UNE values and respects Indigenous knowledge systems as a vital part of the knowledge capital of Australia.

Hasan, Md Kamrul

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Assessing the impacts of climate change on climate/land suitability and the quality of tea [Camellia sinensis (L) O. Kuntze] in Sri Lanka