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Model Soil Consortium 2 (MSC-2) Bacterial Isolate Genomes Model Soil Consortium 2 (MSC-2) bacterial isolate genome collections are derived from the soil consortium "MSC-1" multi-species cultured isolate genome collections from a previously reported WA-IsoC_MSC1.1.0 collection of a naturally evolved...

Metatranscriptomic data from MSC-2 12 fastq files (6 forward read, 6 reverse read) describing transcriptomic response of MSC-2 during chitin growth. 1 csv file showing normalized gene expression values

Multi-Omics Extended Data Package DOI Rapid Remodeling of the Soil Lipidome in Response to a Drying-Rewetting Event This study reveals specific changes in lipids and metabolites that are indicative of stress adaptation, substrate use, and cellular recovery during soil drying and subsequent rewetting...

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...

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...

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...

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...

KS4A-Omics1.0_FspDS68 Fungal Monoisolate Multi-Omics Data Package DOI "A mineral doped micromodel platform demonstrates fungal bridging of carbon hotspots and hyphal transport of mineral derived nutrients" Molecular mechanisms underlying fungal mineral weathering and nutrient translocation in low...

Viral genome assembly annotations from terabase metagenomes (TmG.1.0) from uncultivated soil collections from the IAREC field sites in Washington (IAREC), Kansas (KBPS), and Iowa (COBS), USA. Uncultivated virus Genomes (identified from soil metagenome datasets) Data DOI Package.

Dataset

Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from KPBS field site in Manhattan, KS. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.

Dataset

Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from IAREC field site in Prosser, WA. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.

Dataset

Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from COBS field site in Boone County, IA. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.

The dataset consists of model outputs (CLM45BGC, CLM5BGC, and CLM5SP) There are three CLM simulations associated with Cheng et al. 2020, namely CLM4.5 in biogeochemistry mode (CLM45BGC), CLM5 in biogeochemistry mode (CLM5BGC), and CLM5in satellite phenology mode (CLM5SP). The monthly, daily and...

Comprehensive assessment of climate datasets created by statistical or dynamical models is important for effectively communicating model projection and associated uncertainty to stakeholders and decision-makers. The Department of Energy FACETS project aims to foster such communication through...

The soil microbiome is central to the cycling of carbon and other nutrients and to the promotion of plant growth. Despite its importance, analysis of the soil microbiome is difficult due to its sheer complexity, with thousands of interacting species. Here, we reduced this complexity by developing...