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The datasets contains include permafrost microbial community taxanomic data at the class level from 133 samples across the panarctic.
The datasets contains include Kegg functional gene data from 133 samples across the panarctic.
The dataset contains site information such as latitude, pH, soil carbon, soil nitrogen, KEGG data from highly variable genes and cluster data.
An important challenge in global-change research is to simulate short-term transient changes in climate, disturbance regime, and recruitment that drive long-term vegetation distributions. Spatial features (e.g., topographic barriers) and processes, including disturbance propagation and seed dispersal, largely control these short-term transient changes. Here we present a frame-based spatially explicit model (ALFRESCO) that simulates landscape-level response of vegetation to transient changes in climate and explicitly represents the spatial processes of disturbance propagation and seed dispersal. The spatial model and the point model from which it was developed showed similar results in some cases, but diverged in...
The datasets contains include permafrost microbial community taxanomic data at the phylum level from 133 samples across the panarctic.
The datasets contains include KEGG functional gene data associated with a heatmap from the manuscript.
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The datasets contained herein include permafrost microbial community taxanomic and functional information using metagenomics from 133 samples across the panarctic. Datasets also include soil edaphic and location data.


    map background search result map search result map Panarctic permafrost microbial community and edaphic data collected from 2010-2020 Panarctic permafrost microbial community and edaphic data collected from 2010-2020