The dataset consists of the average values for soil temperature (‘Temperature’), normalized difference vegetation index (‘NDVI’), leaf area index (‘LAI’), soil respiration (‘Rs’), soil moisture (‘Moisture’), organic matter in the organic horizon (‘OM.org’), carbon in the organic horizon (‘C.Org’) and fine root biomass (‘Roots’). Furthermore, the data indicate where these measurements were made (Blocks 1-4), ‘Community’ i.e. type of plant functional type (B= B. nana, E= E. nigrum, L= Lichen, W= Willow) and level of greenness as ascertain visually from low (‘L’), medium (‘M’) and high (‘H’). ‘Collar’ refers to the location of where the infra-red gas analyser was placed for the repeated measurements of CO2 efflux.

This dataset was used in the manuscript "Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem". The goal of the project was to ascertain if we could measure soil respiration remotely (i.e. using remote sensing, for example using an UAV- Unmanned Aerial Vehicle). Measurements of soil temperature, NDVI and CO2 efflux were conducted in July 2018 in Abisko, Northern Sweden as part of an undergraduate project. Soil cores were collected and analysed for moisture, organic matter/carbon and root biomass.