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Metagenome-assembled genomes from topsoils collected during NEON campaign in East River, CO (06/14/2018-06/28/2018)

Creators: Ulas KaraozORCID, Patrick Sorensen, Dana Chadwick, Markus BillORCID, Nicholas BouskillORCID, Nicola FalcoORCID, Alexander PolussaORCID, Kate Maher, Shi Wang, Haruko WainwrightORCID, Kenneth Williams, Eoin BrodieORCID
Year: 2025
DOI: 10.15485/2587101
License: CC-BY 4.0
Location: The East River (ER) is a snow‐dominated, headwater basin of the Upper Colorado River Basin (UCRB) located in the western United States. The ER is the designated testbed of Lawrence Berkeley National Laboratory and SLAC Accelerator Laboratory's Watershed Function Scientific Focus Area (WFSFA). This portion of the ER watershed contains the project-defined boundaries of East River, Washington Gulch, Slate River, and Coal Creek, as described in the location metadata. Through WFSFA, observational networks have been established to measure stream discharge and precipitation chemistry. The ER is considered representative of many snow‐dominated headwaters of the Rocky Mountains. The study domain encompasses nearly 85 square km, a 1.4‐km vertical drop in elevation (4,120 to 2,760 m) and pristine alpine, subalpine, montane, and riparian ecosystems. The ER contains high‐energy mountain streams to low‐energy meandering floodplains and is eroding primarily into the Cretaceous, carbon‐rich, marine shale of the Mancos Formation. This data package contains geographic metadata for specific observation points throughout the watershed. Additional metadata on specific locations within the watershed are provided in the following related data package: Varadharajan C. et al. (2025) doi:10.15485/1660962
Temporal extent: 2018-06-14 to 2018-06-28
Bounding box: 38.820°N to 39.033°N, -107.120°W to -106.880°W
Publisher: ESS_DIVE
Tags: EARTH SCIENCE > LAND SURFACE > SOILS, CATEGORICAL:GCMD EARTH SCIENCE > LAND SURFACE > SOILS > MICROFAUNA:GCMD, EARTH SCIENCE > BIOSPHERE > OMICS > METAGENOME > METAGENOME ASSEMBLED GENOMES (MAGs):GCMD, EARTH SCIENCE > BIOSPHERE > OMICS > OMICS METHODOLOGY > BIN/BINNING:GCMD, EARTH SCIENCE > BIOSPHERE > OMICS > BUILDING BLOCKS > CONTIG:GCMD, EARTH SCIENCE > BIOSPHERE > OMICS > BUILDING BLOCKS > eDNA:GCMD, EARTH SCIENCE > BIOSPHERE > OMICS > MICROBIOME:GCMD, NEON Campaign 2018, ESS-DIVE File Level Metadata Reporting Format, ESS-DIVE CSV File Formatting Guidelines Reporting Format, ESS-DIVE Sample ID and Metadata Reporting Format, CATEGORICAL:NONE EARTH SCIENCE > BIOSPHERE > OMICS > METAGENOME > METAGENOME ASSEMBLED GENOMES (MAGs):GCMD, Alpine & Subalpine Ecology, Plant Biology, Genetics & Evolution, Hydrology & Watersheds, Snow & Ice, Groundwater, Geology & Tectonics, Soil Science, Geochemistry & Isotopes, Weather & Atmospheric Science, Mining & Mineral Resources, Gunnison Basin, Research Programs

Description

The Watershed Function Science Focus Area (WF SFA) at Lawrence Berkeley National Lab is working to build a mechanistic understanding of the distribution and dynamics of biogeochemical processes in mountainous watersheds and their response to perturbation. In June 2018, the NEON (National Ecological Observatory Network) Airborne Observatory Platform (AOP) performed a taskable airborne imaging campaign to collect visible to shortwave infrared (VSWIR) imaging spectroscopy and LiDAR data across 330 km2 in the Upper East River at Crested Butte, CO. We conducted a parallel ground sampling campaign to sample vegetation traits, as well as soil physical, chemical, and microbiological characteristics. We collected these samples from 438 sites across 12 locations spanning much of the elevation, topographic, and geologic variability across the study area. A subset of 250 samples were used for soil metagenomics which is presented here. In addition, at each site, vegetation samples were collected to measure species-specific leaf water content and leaf mass area, foliar elemental composition and foliar CN stable isotope ratios. Soil samples were collected to measure soil physical properties which include bulk density and soil texture analysis. A suite of soil chemical properties was measured from the samples collected at each site, including pH, organic matter, concentrations exchangeable cations, total elemental composition, and the concentrations of extractable N pools (e.g. total free amino acids, ammonium, nitrate, dissolved organic N, and total dissolved N). Additionally, we have measured soil microbial biomass CN stoichiometry. Here, we present 1982 metagenome-assembled genomes (MAGs) for the bacterial and archaeal community from topsoil collected from during NEON 2018 campaign. All metagenomes were sequenced at JGI (Joint Genome Institute) (GOLD Study ID: Gs0149986). Metagenomes were assembled using JGI Metagenome Workflow (10.1128/mSystems.00804-20). The dataset includes (1) zip files for 1982 MAG fasta files (neon_genomes1-5.tar.gz, split into 5 tarballs to keep tarballs under 0.5 GB), (2) neon_Gs0149986_samples_soilproperties_metagenomes.csv: the sample information together with the accession numbers for the underlying metagenomes and the associated soil physical and chemical measurements in NMDC (National Microbiome Data Collaborative) compliant format, (3) neon_Gs0149986.kml: location bounding box file for the sampled locations, (4) samples.csv: sample metadata file used to register Internationall Generic Sample Numbers (IGSNs), (5) flmd.csv: file level metadata file, and (6) dd.csv: data dictionary file. This work was supported by the Watershed Function Science Focus Area at Lawrence Berkeley National Laboratory funded by the US Department of Energy, Office of Science, Biological and Environmental Research under Contract No. DE-AC02-05CH11231.

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