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915 results for “metagenomics”
Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition
<p>Supplemental tables and figures for manuscript titled: "Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition"</p> <p><strong>Abstract</strong></p> <p>NASA has been monitoring the microbial burden of spacecraft since the 1970’s Viking missions. Originally based upon culture-based and then focused 16S sequencing techniques, we have now applied whole metagenomic sequencing of cleanroom samples at the Jet Propulsion Lab (JPL), including the Spacecraft Assembly Facility (SAF) with the goals of taxonomic identification and for functional assignment. Our samples included facility pre-filters, cleanroom vacuum debris, and surface wipes. The taxonomic composition was carried out by three different analysis tools. Hierarchical clustering analysis separated vacuum particles from SAF DNA samples. Vacuum particle samples were the most diverse while DNA samples from the ISO facilities and the SAF were the least diverse; all three were dominated by Proteobacteria. Wipe samples had higher diversity and were predominated by Actinobacteria, including human commensals <em>Cutibacterium acnes</em> and <em>Corynebacterium</em>. Taxa identified by the three methods were not identical, supporting the use of multiple methods for metagenome characterization. Likewise, functional annotation was performed using multiple methods. Vacuum particle and SAF tricarboxylic acid cycle and amino acid biosynthesis suggested that many of the identified microorganisms have the ability to grow in nutrient-limited environments. In total, 18 high quality metagenome assembled genomes were generated and were dominated by <em>Moraxella osloensis</em> or <em>Malassezia restricta</em>. A <em>M. osloensis </em>MAG was assembled into a single circular scaffold and gene annotated. This includes a rigorous quantitative determination of microbial loads, and a qualitative dissection of microbial composition. Genomic assembly led to greater confidence of species identification and their functional roles.</p>
Viral metagenomic sequences from Mediterranean grassland soils
<p>Database of 6088 de-replicated viral contigs identified in viral-fraction metagenomes (viromes) generated from Mediterranean grassland soils.</p>
Expanded catalog of metagenome-assembled genomes reveals resistome characteristics athletic performance- associated microbes in horse
<p><strong>Background</strong><br> As a domesticated species vital to humans, horses are raised worldwide as a source of mechanical energy for sports, leisure, food production, and transportation. The gut microbiota plays an important role in the health, diseases, athletic performance, and behaviour of horses.<br> <strong>Results</strong><br> Here, using approximately 2.2 Tb of metagenomic sequencing data from gut samples from 242 horses, including 110 samples from the caecum and 132 samples from the rectum (faeces), we assembled 4142 microbial metagenome-assembled genomes (MAG), 4015 (96.93%) of which appear to correspond to new species. From long-read data, we successfully assembled 13 circular whole-chromosome bacterial genomes representing novel species. The MAG contained over 313,568 predicted carbohydrate-active enzymes (CAZy), over 59.77% of which had low similarity match in CAZy public databases. High abundance and diversity of antibiotic resistance genes (ARG) were identified in the MAG, likely showing wide use of antibiotic in the management of horse. The abundances of at least 36 MAG (e.g. MAG belonging to Lachnospiraceae, Oscillospiraceae, and Ruminococcus) were higher in elite racehorses than that in normal horses. These MAG enriched in racehorses contained every gene in a major pathway for producing acetate and butyrate by fiber fermentation, presenting potential for greater amount of short-chain fatty acids available to fuel athletic performance.<br> <strong>Conclusions</strong><br> Overall, we assembled 4142 MAG from short- and long-read sequence data in the horse gut. Our dataset represents an exhaustive microbial genome catalog for the horse gut microbiome and provides a valuable resource for discovery of performance-enhancing microbes and studies of horse gut microbiome.</p>
Supplementary material 1 from: Tedersoo L, Liiv I, Kivistik PA, Anslan S, Kõljalg U, Bahram M (2016) Genomics and metagenomics technologies to recover ribosomal DNA and single-copy genes from old fruit-body and ectomycorrhiza specimens. MycoKeys 13: 1-20. https://doi.org/10.3897/mycokeys.13.8140
Full information and metadata about the genomic and metagenomic samples : Explanation note: Detailed information about metadata, DNA quality and genomic/metagenomic results of fruit-body and EcM root tip samples.
Supplementary material 7 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Table S7. Taxonomic classification of the rDNA of fungal.: Explanation note: Taxonomic classification of the rDNA of fungal shotgun metagenome.
Supplementary material 3 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Table S3. Data set of the SSU V4 and V5 barcodes.: Explanation note: Data set of the SSU V4 and V5 barcodes.
Supplementary material 1 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Table S1. Characteristics of soil samples.: Explanation note: Characteristics of soil samples used in this study.
Supplementary material 6 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Table S6. Data set of the LSU D1, D2, and D3 barcodes.: Explanation note: Data set of the LSU D1, D2, and D3 barcodes.
Supplementary material 2 from: Tedersoo L, Anslan S, Bahram M, Põlme S, Riit T, Liiv I, Kõljalg U, Kisand V, Nilsson RH, Hildebrand F, Bork P, Abarenkov K (2015) Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10: 1-43. https://doi.org/10.3897/mycokeys.10.4852
Table S2. Taxonomic composition and clustering of the mock community sample.: Explanation note: Taxonomic composition and clustering of the mock community sample.
Metagenomic and metatranscriptomics data for Bathymodiolus mussel and deep-sea sponge associated symbionts deposited in NCBI, IMG and other databases
<p>Metagenomic data for the sulfur- and methane-oxidizing symbionts of <em>Bathymodiolus</em> mussels and different sponge species deposited in the Integrated Microbial Genomes (IMG) database of the DOE Joint Genome Institute (http://img.jgi.doe.gov/) and NCBI until October 2017.</p>
Antarctic metagenome coverage data against known haloarchaea
<p>Coverage of selected antarctic metagenomes against some single-genome antarctic haloarchaea. </p> <p>This dataset supports a publication in development.</p> <p>Figures generated with script found at: https://github.com/cerebis/antarctic_ha</p>
Supplementary material 1 from: Macher J, Macher T, Leese F (2017) Combining NCBI and BOLD databases for OTU assignment in metabarcoding and metagenomic datasets: The BOLD_NCBI _Merger. Metabarcoding and Metagenomics 1: e22262. https://doi.org/10.3897/mbmg.1.22262
The supplementary material contains the BOLD_NCBI_Merger script, the needed folder structure and the tutorial explaining how to use the script
Supplementary material 8 from: Vamos E, Elbrecht V, Leese F (2017) Short COI markers for freshwater macroinvertebrate metabarcoding. Metabarcoding and Metagenomics 1: e14625. https://doi.org/10.3897/mbmg.1.14625
JAMP metabarcoding pipeline (used R commands) and expected single species mock sample haplotypes (fasta file)
Supplementary material 1 from: Graupner N, Boenigk J, Bock C, Jensen M, Marks S, Rahmann S, Beisser D (2017) Functional and phylogenetic analysis of the core transcriptome of Ochromonadales. Metabarcoding and Metagenomics 1: e19862. https://doi.org/10.3897/mbmg.1.19862
KEGG orthologous genes of the core trancriptome of the herein investigated Ochromonadales (Poteriospumella lacustris strains JBC07, JBM10, JBNZ41; Poterioochromonas malhamensis DS; Spumella vulgaris 199hm; Pedospumella encystans JBMS11) used for phylogenetic analyses.
Supplementary material 1 from: Lefort M, Wratten S, Cusumano A, Varennes Y, Boyer S (2017) Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencing. Metabarcoding and Metagenomics 1: e13709. https://doi.org/10.3897/mbmg.1.13709
OSR aphid mummy collection. Sampling location and size / Amplification success of mummies' DNA extracts by Illumina sequencing.
Supplementary material 4 from: Boenigk J, Wodniok S, Bock C, Beisser D, Hempel C, Grossmann L, Lange A, Jensen M (2018) Geographic distance and mountain ranges structure freshwater protist communities on a European scalе. Metabarcoding and Metagenomics 2: e21519. https://doi.org/10.3897/mbmg.2.21519
Richness is shown for different elevations. The number of lakes within this elevation range is indicated. While mean richness ranges around 750 OTUs it drops to around 400 OTUs at high elevations. The transition seems to be around or slightly below 1400m.
Assemblies of metagenomic data of NEREA Augmented Observatory
<p>The NEREA_metaG_assemblies project contains key initial analyses of NEREA metagenomic data that are stored in the project NEREA_metaG.</p> <p><strong>Primary_analysis</strong>: This directory consists of key initial analyses including the assembly of metagenomic data and subsequent gene prediction. </p>
Prokaryotic gene catalog, prokaryotic Metagenome-Assembled Genomes (MAGs) and taxonomic profiling of metagenomic data of NEREA Augmented Observatory
<p>The NEREA_metaG directory is dedicated to the in-depth analysis of NEREA microbial communities using metagenomic sequencing data. </p> <p><strong>Gene catalog:</strong> This directory contains the gene catalog compiled from metagenomic data, which includes: Protein and nucleotide sequence files for genes; Cluster files grouping similar genes; Annotation files mapping genes to KEGG pathways; Normalized gene abundance profiles.</p> <div><strong>MAGs:</strong> Directory for Metagenome-Assembled Genomes (MAGs). It contains comprehensive annotation files for the MAGs, providing insights into gene functions, metabolic pathways, and other genomic features. It also contains the individual MAGs categorized by sample origin. Each MAG is stored in a compressed FASTA format.</div> <p><strong>mOTUs</strong>: Contains files related to microbial taxonomic units identified and quantified using the mOTUs profiler. </p>
METAGENOMICS_WORKSHOP_CLASS
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Smimulated fungal metagenome dataset with Nanosim
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.