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Nine coastal wetland soil cores were collected in June 2018 from Barataria Bay, Louisiana, a shallow open water basin located west of the Mississippi River Delta.\u00a0\u00a0Soil cores were collected along three transects, roughly 1\u202fmeter apart, that consisted of three points:\u00a0 the coastal fringe (0\u202fm inland), 1\u202fmeter inland, and 2\u202fmeters inland. Soil cores were collected in polycarbonate\u00a0tubes via the push core method to a depth of 150\u202fcm, and field-extruded into 15 separate 10-cm intervals. Soils were stored\u00a0 in polyethylene bags on ice and immediately transported back to the laboratory, where they were kept at 4\u202f\u00b0C until sample analysis was complete.\u00a0\u00a0<\/p>\n
This dataset includes analyses of microbial gene abundance.\u00a0 Quantitative PCR analysis on a CFX96 Touch Real-Time PCR Detection system was used to measure the number of gene copies of bacteria (16S), sulfate reduction (dsRa), and archaea (Arch)\u00a0genes.\u00a0\u00a0<\/p>\n
Soil samples were sieved through a 2mm seive, then centrifuged at 4000 rpm at 25\u00b0C for 1 minute, and excess water decanted.\u00a0 DNA was extracted from soil subsamples (0.25 grams each) following DNAeasy PowerSoil Extraction Kit (QIAGEN, Hilden, Germany).\u00a0 Primers were selected to amplify specific taxonomic and functional genes of interest within the samples -- sulfate reduction (dsrA), all bacteria (16S), and all archaea (Arch).\u00a0 Genomic DNA from Desulfobacterium autotrophicum (Strain DSM 3382) was used to establish standard curves for both amplification of the 16S gene and the dsrA gene, while Methanococcus voltae (Strain A3) was used to establish standard curves for amplification of the Arch gene. Each 25 microliter reaction contained 5 microliters DNA, 1.25 microliters of each 0.1uM primer (forward and reverse), 12.5 microliters of SYBR green MasterMix, and 12.5 microliters of PCR-grade water. Each reaction initially proceeded through steps at 50\u00b0C and 95\u00b0C, then through 50 cycles of denaturing at 95\u00b0C, annealing, and extending at 72\u00b0C.\u00a0\u00a0<\/p>\n
[For details on primers and primer annealing temperatures, see Steinmuller and Chambers (2019)].\u00a0\u00a0<\/p>\n
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Data processing:<\/strong> \u00a0<\/p>\n BCO-DMO processing:<\/strong>
\nAll statistical analysis was performed in R (R Institute for Statistical Computing, Vienna, Austria) using RStudio (RStudio Inc., Boston, MA, USA). The Shapiro-Wilk test was used to verify assumptions of normality, and a logarithmic transformation was performed on all datasets. \u00a0Levene\u2019s test was used to determine homogeneity of variance. A linear mixed-effect model (package \u2018lmer\u2019) was used to test the following predictor variables: depth, distance inland, and the interaction of depth and distance inland on the samples collected from the marsh. Isotopic determinations and quantitative PCR analysis was performed exclusively on the three replicate cores taken 1 meter inland, and thus depth was the only predictor variable tested for those parameters. Following determination of significance within one of the predictor variables, the package \u2018lsmeans\u2019 was used for post-hoc pairwise comparisons using the Tukey method.<\/p>\n
\n-\u00a0Added a conventional header with dataset name, PI names, version date
\n-\u00a0Adjusted parameter names to comply with database requirements.\u00a0
\n-\u00a0Units removed and added to Parameter Description metadata section.
\n- Added Latitude and Longitude columns, converted DMS to DD
\n- Added column for Date of sample collection
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