dataset · National Ecological Observatory Network · 2026

Soil microbe community composition (DP1.10081.001)

National Ecological Observatory Network (NEON)

Cited by 0Open access

Abstract

This data product contains the quality-controlled laboratory data and metadata for NEON's soil bacterial, archaeal, and fungal community composition analysis derived from soil microbial sampling. Taxon tables are derived from the 16S and ITS marker gene sequencing data product, NEON.DP1.10108. The DNA sequence data are processed using standard bioinformatics software to generate taxonomic data. For additional details, see the user guide, protocols, and science design listed in the Documentation section in this data product's details webpage. Latency: The expected time from data and/or sample collection in the field to data publication is as follows, for each of the data tables (in days) in the downloaded data package. See the Data Product User Guide for more information. mcc\_soilSeqVariantMetadata\_16S: 730 mcc\_soilSeqVariantMetadata\_ITS: 730 mcc\_taxonTableLabSummary: 7

Cite this paper

APA 7

(NEON), N. E. O. N. (2026). Soil microbe community composition (DP1.10081.001). National Ecological Observatory Network. https://doi.org/10.48443/13zy-m667

MLA 9

(NEON), National Ecological Observatory Network. “Soil microbe community composition (DP1.10081.001).” National Ecological Observatory Network, 2026, https://doi.org/10.48443/13zy-m667.

Chicago

(NEON), National Ecological Observatory Network. 2026. “Soil microbe community composition (DP1.10081.001).” National Ecological Observatory Network. https://doi.org/10.48443/13zy-m667.

Harvard

(NEON), N.E.O.N. (2026) ‘Soil microbe community composition (DP1.10081.001)’, National Ecological Observatory Network. Available at: https://doi.org/10.48443/13zy-m667.

BibTeX

@misc{neon2026soil,
  title = {{Soil microbe community composition (DP1.10081.001)}},
  author = {(NEON), National Ecological Observatory Network},
  journal = {National Ecological Observatory Network},
  year = {2026},
  doi = {10.48443/13zy-m667}
}

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