Dataset
16s data from MSC-2 growth 3 fastq of 16s amplicon data of MSC2 1 csv file of raw ASV abundances for MSC2
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Showing 61 - 75 of 190
Last updated on 2023-02-23T19:37:46+00:00 by LN Anderson PerCon SFA Project Publication Experimental Data Catalog The Persistence Control of Engineered Functions in Complex Soil Microbiomes Project (PerCon SFA) at Pacific Northwest National Laboratory (PNNL) is a Genomic Sciences Program Biosystems...
Datasets
3
"Visualizing the Hidden Half: Plant-Microbe Interactions in the Rhizosphere" Plant roots and the associated rhizosphere constitute a dynamic environment that fosters numerous intra- and interkingdom interactions, including metabolite exchange between plants and soil mediated by root exudates and the...
Pending Review Microbiomes contribute to multiple ecosystem services by transforming organic matter in soil. Extreme shifts in the environment, such as drying-rewetting cycles during drought, can impact microbial metabolism of organic matter by altering their physiology and function. These...
Rapid remodeling of the soil lipidome in response to a drying-rewetting event - Multi-Omics Data Package DOI Data package contents reported here are the first version and contain pre- and post-processed data acquisition and subsequent downstream analysis files using various data source instrument...
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Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson MPLEx Method Protocol for Integrative Single-Sample Processing for Subsequent Proteomic, Metabolomic, and Lipidomic Analyses The Metabolite, Protein and Lipid Extraction (MPLEx) method protocol is a robust sample processing technique...
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"DNA Viral Diversity, Abundance, and Functional Potential Vary across Grassland Soils with a Range of Historical Moisture Regimes" Soil viruses are abundant, but the influence of the environment and climate on soil viruses remains poorly understood. Here, we addressed this gap by comparing the...
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"Deconstructing the Soil Microbiome into Reduced-Complexity Functional Modules" The soil microbiome represents one of the most complex microbial communities on the planet, encompassing thousands of taxa and metabolic pathways, rendering holistic analyses computationally intensive and difficult. Here...
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This data set provides the 16S microbial community composition via DNA sequence analysis from ingrowth peat and sand cores at the South End bog in 2013. These samples were collected outside the experimental enclosures and are pre-treatment with no experimental manipulation. These are part of the...
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This data set provides ITS fungal community composition via DNA and cDNA sequence analysis at the time of peat coring for Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2014-2017 from the Spruce and Peatlands Under Changing Environments (SPRUCE). Samples were extracted using a Qiagen...
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This data set provides the ITS fungal community composition via DNA and cDNA sequence analysis for peat and sand ingrowth cores collected before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE)...
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Dataset
Soil samples were collected in triplicate in the fall of 2017 across the three grassland locations having differences in historical annual precipitation field site locations (WA, IA, KS). For each location, one deeply sequenced composite metagenome was obtained to detect viral contigs using a...
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Dataset
Soil samples were collected in triplicate in the fall of 2017 across the three grassland locations having differences in historical annual precipitation field site locations (WA, IA, KS). For each location, one deeply sequenced composite metagenome was obtained to detect viral contigs using a...
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Dataset
Soil samples were collected in triplicate in the fall of 2017 across the three grassland locations having differences in historical annual precipitation field site locations (WA, IA, KS). For each location, one deeply sequenced composite metagenome was obtained to detect viral contigs using a...
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Soil samples were collected in triplicate in the Fall of 2017 across the three grassland locations having differences in historical annual precipitation (WA-TmG.1.0, KS-TmG.1.0, and IA-TmG.1.0). For each location, one deeply sequenced composite metagenome (> 1 terabase) were screened for viruses,In...
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