Published March 18, 2025 | Version 0.0.0
Dataset Open

Stordalen Mire mire-wide survey: Microbial sample metadata

  • 1. ROR icon The Ohio State University
  • 2. ROR icon Wellesley College

Description

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.

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Additional details

Related works

Funding

U.S. National Science Foundation
BII-Implementation: The EMERGE Institute: Identifying EMergent Ecosystem Responses through Genes-to-Ecosystems Integration 2022070
National Aeronautics and Space Administration
From Archaea to the Atmosphere: Integrating Microbial, Isotopic and Landscape-Scale Observations to Quantify Methane Emissions from Global High-Latitude Ecosystems NNX17AK10G