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915 results for “metagenomics”
Supplementary material 3 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
Exploratory statistics addressing sequencing depth per country and MOTU rarefaction.
Supplementary material 5 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
Overview of the macroinvertebrates composition of the three sample sites in Romania.
Supplementary material 12 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
Sample composition of Romanian macroinvertebrate samples.
Supplementary material 2 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
Supporting Information 2
Supplementary material 9 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
Number of raw sequences obtained for each sample after demultiplexing.
Supplementary material 7 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
Gradient PCR optimisation for the fwh primer sets.
Supplementary material 6 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
Overview of used tagging combinations for sample multiplexing for sequencing.
Supplementary material 4 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
Overview of the three Romanian macrozoobenthos sampling sites (Z2, L2, R2).
Supplementary material 2 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
Lake characteristics and diversity indices
Supplementary material 3 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
Bray distance matrix
Supplementary material 1 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
Sample Identifier for molecular analyses
Agricultural Exudate Responsive Metagenome Database (ARM)
<p>Additional File 6: fasta file with concatenated MAGs (334) from the ARM genome resource. </p>
Rapid Inference of Antibiotic Susceptibility Phenotype of Uropathogens using Metagenomic Sequencing with Neighbour Typing - Klebsiella spp. Isolates for RASE Databases and Paired Isolates
Open the record for dataset details and reuse information.
Rapid Inference of Antibiotic Susceptibility Phenotype of Uropathogens using Metagenomic Sequencing with Neighbour Typing - E. coli Isolates for RASE Databases and Paired Isolates
Open the record for dataset details and reuse information.
Deepurify: a multi-modal deep language model to remove contamination from metagenome-assembled genomes
<p>The SIM2 testing set.</p>
Lakes Victoria, Simbi, Naivasha Coassembly (Metagenomic)
<p>A coassembly containing 26 concatenated and assembled (coassembled) metagenomic libraries that has been made publically available in conjunction with a Harmful Algae manuscript (to be published). </p>
Subset of metagenomic nanopore reads
Open the record for dataset details and reuse information.
Figure 7. A in Metagenomic study of the communities of bacterial endophytes in the desert plant Senna Italica and their role in abiotic stress resistance in the plant
Figure 7. A. The Genus level in Bacteria (bar chart), the 12genera of the five bacteria were detected at the level of the phylum. Based on the V3-V4 region of the 16S rRNA region. The relative most abundance in the taxonomic composition distribution in samples of Genus -level (pie chart) as a percentage of the total bacteria isolated from roots and leaves endophyte region. Based on the full-length 16S rRNA sequences. (B) and (C) The most abundant genera found in the phylum of Actinobacteria. (D) The most abundant genus found in the phylum of Cyanobacteria. Roots samples: Roots.1, Roots.2, and Roots.3. Leaves samples: Leaves.1, Leaves.2, and Leaves.3 are associated with Senna italica.
Figure 2 in Metagenomic study of the communities of bacterial endophytes in the desert plant Senna Italica and their role in abiotic stress resistance in the plant
Figure 2. Different curve based on observed Shannon value and Inversed Simpson value. Roots samples: Roots.1, Roots.2, and Roots.3. Leaves samples: Leaves.1, Leaves.2, and Leaves.3 are associated with Senna italica.
Figure 4 in Metagenomic study of the communities of bacterial endophytes in the desert plant Senna Italica and their role in abiotic stress resistance in the plant
Figure 4. Beta diversity analysis. Unweighted PCoA of UniFrac distances, Principal coordinate analysis illustrates differences between bacterial communities in senna italica roots and leaves. Two first components (PC1 and PC2) were plotted and represented 94.33% of whole inertia. Roots samples: Roots.1, Roots.2, and Roots.3. Leaves samples: Leaves.1, Leaves.2, and Leaves.3 are associated with Senna italica. The red triangle indicates Leaves.1. The green triangle indicates Root.1. The purple triangle indicates Root.2. The yellow square indicates Root.3. The blue square indicates Leaves.2. The orange circle indicates Leaves.3.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.