The Colorado Plateau is associated with several different commercial sources of natural CO2 and other non-hydrocarbon gases, such as noble gases. Twenty-five different hot springs, warm springs, cold springs, and/or rivers across the Utah region of the Colorado Plateau were sampled for microbial biomass. These different locations were associated with some concentration of dissolved or effervescing natural CO2 or other naturally-occurring non-hydrocarbon gases. Due to the possibility of different sources of the non-hydrocarbon gases across the region, multiple springs and rivers were sampled across a wide area of the state of Utah. Water samples were collected from non-stagnant regions of the sampled spring or river, and filtered through sterile 0.22 um Sterivex filter units. The biomass was extracted, amplified, and sequenced on the Illumina MiSeq platform.

Geospatial dataset. This dataset is associated with the following publication: Korajkic, A., B. McMinn, M. Herrmann, M. Sivaganesan, C. Kelty, P. Clinton, M. Nash, and O. Shanks. Viral and Bacterial Fecal Indicators in Untreated Wastewater across the Contiguous United States Exhibit Geospatial Trends. APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 86(8): e02967-19, (2020).

Geospatial dataset. This dataset is associated with the following publication: Korajkic, A., B. McMinn, M. Herrmann, M. Sivaganesan, C. Kelty, P. Clinton, M. Nash, and O. Shanks. Viral and Bacterial Fecal Indicators in Untreated Wastewater across the Contiguous United States Exhibit Geospatial Trends. APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 86(8): e02967-19, (2020).

This data set presents surface sampling data and weather information for Bacillus atrophaeus spores, a surrogate for B. anthracis, from a 210-day outdoor study that evaluated the detection and recovery of spores using five different sampling methods: sponge sticks, 37 mm vacuum filter cassettes, residential wet vacuums, robotic floor cleaners, and grab samples of soil, leaves, and grass. This dataset is associated with the following publication: Mikelonis, A., A. Abdel-Hady, D. Aslett, K. Ratliff, A. Touati, J. Archer, S. Serre, L. Mickelsen, S. Taft, and W. Calfee. Comparison of surface sampling methods for an extended duration outdoor biological contamination study. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 192(455): 13, (2020).

To determine the differences in soil microbial community composition between native and non-native lineages of Phragmites, we sampled soils from eight sites in the Great Lakes basin where populations of native and non-native Phragmites co-occurred. In addition, we included samples of soils from 27 populations of Phragmites across the Gulf of Mexico and Atlantic Coasts of the US. Samples were collected between July 2015 and September 2017. At each site in the Great Lakes, we sampled rhizosphere and bulk soil surrounding one ramet of each lineage. Samples from Atlantic and Gulf coasts were collected by homogenizing rhizosphere soils from multiple ramets of one population within a single lineage. DNA was extracted from soils and fungal, bacterial, and oomycete DNA was amplified to identify the microbial constituents. Amplicons were sequenced using Illumina MiSeq. This dataset includes outputs of bioinformatic analysis of sequences including operational taxonomic unit (OTU) generation, OTU abundance, resolved taxonomy, and environmental metadata collected in our survey. Raw sequences were uploaded to the NCBI Sequence Read Archive under SRA accession number PRJNA601975. First posted: October 22, 2020 (available by request) Minor Revision: December, 2020 (version 1.1)

This soil and vegetation data were collected along a successional gradient at the Indiana Dunes National Park. Soil samples were processed for standard soil chemistry, texture, and nutrients. DNA extracted from soil samples were analyzed for bacterial communities using 16S rRNA amplicon sequencing technique to understand the composition and distribution of these communities along the successional gradient. Soils samples were collected in 2015 and 2017. Vegetation data were collected only in 2017, as the vegetation was dormant in 2015. We collected the data to examine the relationships among soils, vegetation, and composition of the microbial communities along a dunal chronosequence. A dunal chronosequence is a series of coastal dunes that formed at different times thus a chrono-sequence. In such a sequence, the younger dunes are near the lakeshore and the older ones are inland. The raw metagenomic data can be accessed at the NCBI repository under the bioproject accession PRJNA658136.