10.5880/fidgeo.2025.074 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2025-09-09 urn:ogc:def:crs:EPSG:4326 Arctic Greening Database 2025-09-09 revision 2025-06 creation doi:10.5880/fidgeo.2025.074 Mainka, Moritz Institute of Terrestrial Ecosystem Science, Department of Environmental System Science, ETH Zurich, Zurich, Switzerland author Bakker, Lena Geological Institute, Department of Earth Sciences, ETH Zurich, Zurich, Switzerland author Maier, Annina Institute of Terrestrial Ecosystem Science, Department of Environmental System Science, ETH Zurich, Zurich, Switzerland author Ruethers, Jana Institute of Integrative Biology, Department of Environmental System Science, ETH Zurich, Zurich, Switzerland author Bakke Westergaard, Kristine NTNU University Museum, Norwegian University of Science and Technology, Trondheim, Norway author Fior, Simone Institute of Integrative Biology, Department of Environmental System Science, ETH Zurich, Zurich, Switzerland author Frossard, Aline Swiss Federal Institute for Forest, Snow, and Landscape Research, WSL, Zurich, Switzerland author Griepentrog, Marco Institute of Terrestrial Ecosystem Science, Department of Environmental System Science, ETH Zurich, Zurich, Switzerland author Van de Broek, Marijn Institute of Terrestrial Ecosystem Science, Department of Environmental System Science, ETH Zurich, Zurich, Switzerland author Wilken, Florian Institute of Geography, University of Augsburg, Augsburg, Germany author Dötterl, Sebastian Institute of Terrestrial Ecosystem Science, Department of Environmental System Science, ETH Zurich, Zurich, Switzerland author Alexander, Jake Institute of Integrative Biology, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland author Magnabosco, Cara Geological Institute, Department of Earth Sciences, ETH Zurich, Zurich, Switzerland author GFZ Data Services publisher The Arctic Greening Database v0.1 is an open access database created as part of the ETH+ project "Unraveling biogeochemical, microbial and vegetation feedbacks driving soil development and Arctic greening under a warming climate". The database contains data on soil, vegetation, microbial, and environmental properties from 14 active-layer tundra sites sampled in 2022 and 2023 on Svalbard. The spatially-explicit field observations, field and laboratory measurements provides an interdisciplinary collection of data from a remote and data-poor region to study linkages between vegetation, microbiome and pedogenesis in the context of Arctic Greening. The database is structured hierarchically with four connected levels: site, plot, sample, and species. At the site level, aggregated data are provided (e.g. GHG fluxes). This is followed by plot-level data (e.g. plant functional type cover) that connects to sample-level data (soil organic matter content) and species-level data. Tables at the same level are connected via one-to-one relationships, from a broader to finer level one-to-many relationships are in place. Sampling and measurement procedures are described in Section 2 of the database description. The metadata file accompanying a specific .csv file provides further information on data creation, sample processing and units. The current version of the dataset consists of a reduced set of tables that will be updated soon with more curated data from Svalbard and Northern Norway (Finnmark). A more extensive overview of the data will be published as a data paper in the future. Mainka, Moritz Institute of Terrestrial Ecosystem Science, Department of Environmental System Science, ETH Zurich, Zurich, Switzerland PhD Candidate moritz.mainka@usys.ethz.ch https://usys.ethz.ch/personen/profil.MzE2MTA3.TGlzdC82MzcsMzIwMTk3MjIy.html informtion pointOfContact Dötterl, Sebastian Institute of Terrestrial Ecosystem Science, Department of Environmental System Science, ETH Zurich, Zurich, Switzerland sdoetterl@usys.ethz.ch https://usys.ethz.ch/personen/profil.MjUwODcy.TGlzdC82MzcsMzIwMTk3MjIy.html informtion pointOfContact Arctic greening carbon cycling climate change microbial communities microbial diversity vegetation dynamics non-native species plant-soil-microbiome interactions biogeochemistry soil weathering EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > COMMUNITY DYNAMICS EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > SPECIES/POPULATION INTERACTIONS EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > ALPINE/TUNDRA EARTH SCIENCE > BIOSPHERE > VEGETATION EARTH SCIENCE > LAND SURFACE > FROZEN GROUND > ACTIVE LAYER EARTH SCIENCE > LAND SURFACE > LANDSCAPE EARTH SCIENCE > LAND SURFACE > SOILS NASA/GCMD Earth Science Keywords publication CC BY 4.0 CC BY 4.0 DOI of paper when available DOI IsSupplementTo 10.1007/978-3-662-55871-3 DOI Cites https://www.biodiversity.no/Pages/317606 URL Cites 10.1002/2688-8319.12056 DOI Cites https://hdl.handle.net/11250/2580810 URL Cites 10.3389/feart.2016.00073 DOI Cites 10.2307/3236194 DOI Cites 10.1127/0340-269X/2005/0035-0951 DOI Cites https://hdl.handle.net/11250/173141 URL Cites 10.1002/joc.5086 DOI Cites https://hdl.handle.net/11250/216694 URL Cites 10.5817/CPR2018-1-4 DOI Cites 10.5817/CPR2018-1-4 DOI Cites 10.1017/S0032247411000647 DOI Cites 10.21334/NPOLAR.2016.616F7504 DOI Cites 10.2307/3236203 DOI Cites 10.7910/DVN/3VDC4W DOI Cites https://www.miljovernfondet.no/wp-content/uploads/2020/01/invasive-species-pathaways.pdf URL Cites 10.1007/s13280-019-01296-6 DOI Cites eng geoscientificInformation The dataset contains data from two separate sampling campaigns taken place in summer 2022 and summer 2023. 13.379 16.8685 78.0354 78.6597 2022-07-01 2023-08-20 http://doi.org/10.5880/fidgeo.2025.074 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information A detailed description of the methods can be found in the metadata files for each data table. In addition to that, a general description document is provided which contains information on the sampling design, the study area, and the database structure.