In order to understand, and predict, climate change impact of relevance to the needs of society, we need approaches that enable us to scale up from individuals via populations and communities to the ecosystem level. Mountain regions are vulnerable to climate change and they harbour unique biodiversity and deliver important benefits to people such as food, water and climate regulation. It is thus of particular importance to understand how future climate change will affect alpine plant communities and ecosystems. This project develops integrate observational and experimental approaches across an elevation gradient to explore how climate, and climate change, affects plants across four levels of altitudinal sites - from direct phenological effects via demographic responses to population, community, and ecosystem dynamics. Two key experimental approaches are combined (i) whole-community transplants of vegetation turfs towards warmer climates and (ii) in-situ warming experiments (Open Top Chambers or radiative heating). The two approaches have slightly different aims, in that OTCs expose extant communities to a new climate, whereat Transplants combine the warming with also exposing it to a new neighbourhood - i.e., we change both the biotic and the abiotic environment and therefore explore the net effect of both direct and indirect impacts of climate change. combining the two approaches enable us to compare the direct and net (direct + indirect) effects of climate change. The experiment is replicated over four sites along one elevation gradients, allowing us to also explore temperature context-dependencies in these responses. The transplants also include a climatic cooling treatment (transplanting uphill) and as an extreme treatment transplanting between the top and bottom sites along the gradient. In these sites and treatments we collect data on climate and environment, plant phenology, population dynamics of Viola biflora, community composition, plant functional traits, and ecosystem responses such as productivity and carbon fluxes. This project provide a framework for integrating individual, population, community, and ecosystem responses to climate and climate change, and to understand the plant functional traits underlying responses both in terms of biodiversity and ecosystem functioning. The results have implications for habitat management and nature conservation strategies under a changing climate. This OSF contains the raw and final cleaned data files. Note that the final cleaned data are stored as one or more files per dataset in separate folders named after each dataset (Biomass, C-Flux, Community, Climate, Meta Data, etc). The raw data for all these datasets are stored in the "Raw Data" folder. Detailed records of the field, laboratory, and data management methods and resulting climate, community, and traits datasets are published in the project data paper and climate data are further described in the associated data paper (Vandvik et al. in press Scientific Data). The code for extracting and cleaning data is available at GitHub (https://github.com/Plant-Functional-Trait-Course/PFTC_1_2_China) Further information about the projects and courses can be found at our web pages (https://www.uib.no/en/btf).