Pairwise geographic distances (m) between mire-wide plots in Stordalen Mire, northern Sweden. Distances are in the file Mirewide_Plots_distances-m.csv. This file was generated with the script Mirewide_Plots_Distances.R, using Mirewide_Plots_GPS.csv as input, and geosphere package version 1.5-10. Details of the plots, including latitude, longitude, and vegetation cover, are in the dataset "Stordalen Mire mire-wide survey: Vegetation cover" (https://doi.org/10.5281/zenodo.15048198). The latitude & longitude provided in that dataset represent more precise versions of the coordinates in Mirewide_Plots_GPS.csv (which also omits plot 8); the coordinates are otherwise identical in both datasets. FUNDING: National Aeronautics and Space Administration, Interdisciplinary Science program: From Archaea to the Atmosphere (award # NNX17AK10G). National Science Foundation, Biology Integration Institutes Program: EMERGE Biology Integration Institute (award # 2022070). United States Department of Energy Office of Biological and Environmental Research, Genomic Science Program: The IsoGenie Project (grant #s DE-SC0004632, DE-SC0010580, and DE-SC0016440). We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council's grant 4.3-2021-00164.
more »
« less
Stordalen Mire mire-wide survey: Vegetation cover
Vegetation % cover, cover classes, and locations for all mire-wide plots in Stordalen Mire, northern Sweden, sampled in July 2015. Class = the 5-category classification of Malmer et al., 2005. Cover type = the 3-category classification of Bäckstrand et al., 2008. Each of the 75 plots had 64 subplots that were each quantified for % cover, such that the total plot-level %cover=Sum(species)/64. Sum(SUM) is total of all other Sum() columns. Sum(0) and Sum(0 2) are data compilation checks. FUNDING: National Aeronautics and Space Administration, Interdisciplinary Science program: From Archaea to the Atmosphere (award # NNX17AK10G). National Science Foundation, Biology Integration Institutes Program: EMERGE Biology Integration Institute (award # 2022070). United States Department of Energy Office of Biological and Environmental Research, Genomic Science Program: The IsoGenie Project (grant #s DE-SC0004632, DE-SC0010580, and DE-SC0016440). We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council's grant 4.3-2021-00164.
more »
« less
- Award ID(s):
- 2022070
- PAR ID:
- 10591417
- Publisher / Repository:
- Zenodo
- Date Published:
- Subject(s) / Keyword(s):
- EMERGE Biology Integration Institute Stordalen Mire
- Format(s):
- Medium: X
- Right(s):
- Creative Commons Attribution 4.0 International
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Stordalen Mire microbial ASV table (mire-wide_ASV_table.tsv) and taxonomy (mire-wide_taxonomy.tsv), based on 16S rRNA amplicon sequencing data from a mire-wide survey (2015) and co-analyzed autochamber site samples (2014-2015). The 16S rRNA amplicon sequencing data is available under NCBI BioProject PRJNA1236848. The sample metadata and SRA accessions are available at https://doi.org/10.5281/zenodo.15047156. FUNDING: National Aeronautics and Space Administration, Interdisciplinary Science program: From Archaea to the Atmosphere (award # NNX17AK10G). National Science Foundation, Biology Integration Institutes Program: EMERGE Biology Integration Institute (award # 2022070). United States Department of Energy Office of Biological and Environmental Research, Genomic Science Program: The IsoGenie Project (grant #s DE-SC0004632, DE-SC0010580, and DE-SC0016440). Sequencing was performed using startup funding from the University of Arizona to Virginia Rich. We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council's grant 4.3-2021-00164.more » « less
-
Relative abundances of all microbial PiCRUST-inferred functional pathways for all samples, based on 16S rRNA amplicon sequencing data from a mire-wide survey (2015) and co-analyzed autochamber site samples (2014-2015). The 16S rRNA amplicon sequencing data is available under NCBI BioProject PRJNA1236848. The sample metadata and SRA accessions are available at https://doi.org/10.5281/zenodo.15047156. FUNDING: National Aeronautics and Space Administration, Interdisciplinary Science program: From Archaea to the Atmosphere (award # NNX17AK10G). National Science Foundation, Biology Integration Institutes Program: EMERGE Biology Integration Institute (award # 2022070). United States Department of Energy Office of Biological and Environmental Research, Genomic Science Program: The IsoGenie Project (grant #s DE-SC0004632, DE-SC0010580, and DE-SC0016440). Sequencing was performed using startup funding from the University of Arizona to Virginia Rich. We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council's grant 4.3-2021-00164.more » « less
-
Stordalen Mire sample metadata from a mire-wide survey (2015) and co-analyzed autochamber site samples (2014-2015). These samples were analyzed by 16S rRNA amplicon sequencing, and the 16S data is available under NCBI BioProject PRJNA1236848. Column descriptions for this metadata file: The first 4 columns (sample_name, SRA library_ID, SRA accession, BioSample) include sample & library names and accessions in NCBI. The sample_name column also matches the SampleID__ attribute in the EMERGE Database (EMERGE-DB; https://emerge-db.asc.ohio-state.edu/). The next 7 columns (SampleID, Habitat, Depth, Description, Source, Site, Origin) are the metadata used for the 16S data analysis (results available at https://doi.org/10.5281/zenodo.15047596 and https://doi.org/10.5281/zenodo.15047715). The final 9 columns (Latitude, Longitude, Date, Full Site Name, Core #, DepthMin (cm), DepthMax (cm), DepthAvg (cm), pH_porewater) provide other metadata, including latitude/longitude, sampling dates, full site and core names, depths, and porewater pH, standardized to match the nomenclature in the EMERGE-DB. FUNDING: National Aeronautics and Space Administration, Interdisciplinary Science program: From Archaea to the Atmosphere (award # NNX17AK10G). National Science Foundation, Biology Integration Institutes Program: EMERGE Biology Integration Institute (award # 2022070). United States Department of Energy Office of Biological and Environmental Research, Genomic Science Program: The IsoGenie Project (grant #s DE-SC0004632, DE-SC0010580, and DE-SC0016440). Sequencing was performed using startup funding from the University of Arizona to Virginia Rich. We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council's grant 4.3-2021-00164.more » « less
-
Methane (CH4) emissions in Stordalen Mire (northern Sweden), estimated via two different approaches: "Paint by number" (field ch4_modified_prj.tif): CH4 emission across the landscape calculated via “paint-by-number” approach, using 2014 autochamber-based flux measurements (https://doi.org/10.5281/zenodo.14052690) mapped to landcover classifications (https://doi.org/10.5281/zenodo.15042233). DNDC-modeled (Modeled CH4.tif): CH4 emission across the landscape modeled via Wetland-DNDC (https://www.dndc.sr.unh.edu/), driven by remotely sensed landcover classifications (https://doi.org/10.5281/zenodo.15042233), water table depth (https://doi.org/10.5281/zenodo.15092752), climate data (provided by the Abisko Scientific Research Station), and soil parameters (defined as in Deng et al. 2014, 2017). The DNDC model was run on vegetation and water table clusters (determined by k-means clustering), and model output was spatially assigned to each map pixel. Modeled CH4 emissions account for CH4 production from DOC (Randomforest_stack_epsg32634_extent_kmeansclass10_CH4 prod from DOC.tif) and from CO2 (Randomforest_stack_epsg32634_extent_kmeansclass10_CH4 prod from CO2.tif), minus oxidation (Randomforest_stack_epsg32634_extent_kmeansclass10_CH4 oxid.tif). The model also outputs a map of CH4 isotopic composition (δ13C-CH4) of emissions (Randomforest_stack_epsg32634_extent_kmeansclass10_Delta CH4 flux.tif). The difference between these approaches is provided as a difference map (CH4diff.tif), calculated as the "paint-by-number" (PBN) emissions (field ch4_modified_prj.tif) minus the Wetland-DNDC modeled emissions (Modeled CH4.tif). These images are GeoTIFFs with embedded georeferencing information. FUNDING: National Aeronautics and Space Administration, Interdisciplinary Science program: From Archaea to the Atmosphere (award # NNX17AK10G). National Science Foundation, Biology Integration Institutes Program: EMERGE Biology Integration Institute (award # 2022070). United States Department of Energy Office of Biological and Environmental Research, Genomic Science Program: The IsoGenie Project (grant #s DE-SC0004632, DE-SC0010580, and DE-SC0016440). National Science Foundation, MacroSystems program (grant # EF-1241037). We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council's grant 4.3-2021-00164.more » « less
An official website of the United States government
