Data on forest structure, condition, increment ans well as LAI, Leaf and soil chemistry are presented. Data on 20 permanant observation pine stands are presented. Investigations are carried out since the 1986. Presented data: dendrometric parameters, condition, defoliation, tree ring width series, FAR/LAI, primary productivity, dead wood, meteorology, soil and needle chemistry

Chemistry and meteorological data from ICP IM Integrated monitoring program, several subprogrammes; air chemistry, precipitation chemistry, throughfall, foliage chemistry, litterfall chemistry, run off chemistry, soil water chemistry, soil chemistry, groundwater chemistry, meteorological data. IM station Aneboda SE14, data from 1996-2019

Chemistry and meteorological data from ICP IM Integrated monitoring program, several subprogrammes; air chemistry, precipitation chemistry, throughfall, foliage chemistry, litterfall chemistry, run off chemistry, soil water chemistry, soil chemistry, groundwater chemistry, meteorological data. IM station Kindla SE15, data from 1995-2019

During the long-term monitoring project in Obergurgl, soil chemistry was measured in 2000, 2003 and 2012. The project was established in 2000, with the aim to record vegetational development in subalpine to alpine altitudes in aspects on the effect of grazing and grazing exclosure. Basis for soil chemistry analysis were soil samples without plant material from two samples per study site. Results refer to soil dry weight. Samples were dried 3 weeks with 40-50°C. Analysis through Federal Agency for Agricultural Biology Linz, Austria (Bundesamt fuer Agrarbiologie).

Chemistry and meteorological data from ICP IM Integrated monitoring program, several subprogrammes; air chemistry, precipitation chemistry, throughfall, foliage chemistry, litterfall chemistry, run off chemistry, soil water chemistry, soil chemistry, groundwater chemistry, meteorological data. IM station Gammtratten SE16, data from 1999-2019

Dataset provides information about soil temperature, soil C and N dynamics at different sites in the alpine tundra, along an elevational gradient from 2500 to 2900 m asl during the period 2008-2019. The soil was sampled in triplicate in each the sites and the N-NH4 concentration is measured in soil K2SO4 extracts. The ongoing studies aimed at investigating how the meteorological variables affect the biogeochemistry of seasonally snow covered areas, with a special focus on the effect of the snow cover duration on soil and water C and N dynamics during the growing season.

Dataset provides information about soil temperature, soil C and N dynamics at different sites in the alpine tundra, along an elevational gradient from 2500 to 2900 m asl during the period 2005-2018. The soil was sampled in triplicate in each the sites and the N-NO3 concentration is measured in soil K2SO4 extracts. The ongoing studies aimed at investigating how the meteorological variables affect the biogeochemistry of seasonally snow covered areas, with a special focus on the effect of the snow cover duration on soil and water C and N dynamics during the growing season.

Chemistry and meteorological data from ICP IM Integrated monitoring program, several subprogrammes; air chemistry, precipitation chemistry, throughfall, foliage chemistry, litterfall chemistry, run off chemistry, soil water chemistry, soil chemistry, groundwater chemistry, meteorological data. IM station Gårdsjön SE04, data from 1979-2019

Dataset provides information about soil temperature, soil C and N dynamics at different sites in the alpine tundra, along an elevational gradient from 2500 to 2900 m asl during the period 2005-2018. Moreover, in ordrer to evaluate how topsoil can influence the quality of surface water, lake water was sampled monthly at the same time that soil was sampled. The N-NH4 concentration is measured in water samples collected in triplicate in two lakes (Cimalegna and Bowditch). The ongoing studies aimed at investigating how the meteorological variables affect the biogeochemistry of seasonally snow covered areas, with a special focus on the effect of the snow cover duration on soil and water C and N dynamics during the growing season.

Dataset provides information about soil temperature, soil C and N dynamics at different sites in the alpine tundra, along an elevational gradient from 2500 to 2900 m asl during the period 2005-2018. The soil was sampled in triplicate in each the sites and the N-NH4 concentration is measured in soil K2SO4 extracts. The ongoing studies aimed at investigating how the meteorological variables affect the biogeochemistry of seasonally snow covered areas, with a special focus on the effect of the snow cover duration on soil and water C and N dynamics during the growing season.