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Dataset results
915 results for “metagenomics”
Supplementary material 3 from: Nagai S, Sildever S, Nishi N, Tazawa S, Basti L, Kobayashi T, Ishino Y (2022) Comparing PCR-generated artifacts of different polymerases for improved accuracy of DNA metabarcoding. Metabarcoding and Metagenomics 6: e77704. https://doi.org/10.3897/mbmg.6.77704
same_tophit_count_merge.pl
Supplementary material 2 from: Nagai S, Sildever S, Nishi N, Tazawa S, Basti L, Kobayashi T, Ishino Y (2022) Comparing PCR-generated artifacts of different polymerases for improved accuracy of DNA metabarcoding. Metabarcoding and Metagenomics 6: e77704. https://doi.org/10.3897/mbmg.6.77704
merge_tophit_count.pl
Supplementary material 1 from: Sakata MK, Kawata MU, Kurabayashi A, Kurita T, Nakamura M, Shirako T, Kakehashi R, Nishikawa K, Hossman MY, Nishijima T, Kabamoto J, Miya M, Minamoto T (2022) Development and evaluation of PCR primers for environmental DNA (eDNA) metabarcoding of Amphibia. Metabarcoding and Metagenomics 6: e76534. https://doi.org/10.3897/mbmg.6.76534
Supporting Information
Supplementary material 4 from: Nagai S, Sildever S, Nishi N, Tazawa S, Basti L, Kobayashi T, Ishino Y (2022) Comparing PCR-generated artifacts of different polymerases for improved accuracy of DNA metabarcoding. Metabarcoding and Metagenomics 6: e77704. https://doi.org/10.3897/mbmg.6.77704
blastxml_parser
Supplementary material 1 from: Sogawa S, Tsuchiya K, Nagai S, Shimode S, Kuwahara VS (2022) Annual dynamics of eukaryotic and bacterial communities revealed by 18S and 16S rRNA metabarcoding in the coastal ecosystem of Sagami Bay, Japan. Metabarcoding and Metagenomics 6: e78181. https://doi.org/10.3897/mbmg.6.78181
Figures S1–S8
Supplementary material 1 from: Biessy L, Pearman JK, Waters S, Vandergoes MJ, Wood SA (2022) Metagenomic insights to the functional potential of sediment microbial communities in freshwater lakes. Metabarcoding and Metagenomics 6: e79265. https://doi.org/10.3897/mbmg.6.79265
Figures S1–S6
Supplementary material 2 from: Biessy L, Pearman JK, Waters S, Vandergoes MJ, Wood SA (2022) Metagenomic insights to the functional potential of sediment microbial communities in freshwater lakes. Metabarcoding and Metagenomics 6: e79265. https://doi.org/10.3897/mbmg.6.79265
Tables S1, S2
Metagenomic Std ATCC MSA-1003: PacBio HiFi Reads FASTQ
<p>WGS of mock metagenomic community ATCC MSA-1003 using PacBio HiFi (CCS) Sequencing</p>
Supplementary material 2 from: Keck F, Hürlemann S, Locher N, Stamm C, Deiner K, Altermatt F (2022) A triad of kicknet sampling, eDNA metabarcoding, and predictive modeling to assess richness of mayflies, stoneflies and caddisflies in rivers. Metabarcoding and Metagenomics 6: e79351. https://doi.org/10.3897/mbmg.6.79351
Tables S1–S4
Supplementary material 3 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S3
Supplementary material 1 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S1
Supplementary material 2 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S2
Supplementary material 4 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S4
Supplementary material 5 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Supplementary methods
Supplementary material 4 from: Hintikka S, Carlsson JE, Carlsson J (2022) The bacterial hitchhiker's guide to COI: Universal primer-based COI capture probes fail to exclude bacterial DNA, but 16S capture leaves metazoa behind. Metabarcoding and Metagenomics 6: e80416. https://doi.org/10.3897/mbmg.6.80416
COI library ASV tax
Supplementary material 1 from: Hintikka S, Carlsson JE, Carlsson J (2022) The bacterial hitchhiker's guide to COI: Universal primer-based COI capture probes fail to exclude bacterial DNA, but 16S capture leaves metazoa behind. Metabarcoding and Metagenomics 6: e80416. https://doi.org/10.3897/mbmg.6.80416
File S1
Supplementary material 3 from: Hintikka S, Carlsson JE, Carlsson J (2022) The bacterial hitchhiker's guide to COI: Universal primer-based COI capture probes fail to exclude bacterial DNA, but 16S capture leaves metazoa behind. Metabarcoding and Metagenomics 6: e80416. https://doi.org/10.3897/mbmg.6.80416
16S library ASV tax
Supplementary material 5 from: Hintikka S, Carlsson JE, Carlsson J (2022) The bacterial hitchhiker's guide to COI: Universal primer-based COI capture probes fail to exclude bacterial DNA, but 16S capture leaves metazoa behind. Metabarcoding and Metagenomics 6: e80416. https://doi.org/10.3897/mbmg.6.80416
Unassigned COIASVs krona
Supplementary material 2 from: Hintikka S, Carlsson JE, Carlsson J (2022) The bacterial hitchhiker's guide to COI: Universal primer-based COI capture probes fail to exclude bacterial DNA, but 16S capture leaves metazoa behind. Metabarcoding and Metagenomics 6: e80416. https://doi.org/10.3897/mbmg.6.80416
Metadata all
Supplementary material 6 from: Jeunen G-J, Lipinskaya T, Gajduchenko H, Golovenchik V, Moroz M, Rizevsky V, Semenchenko V, Gemmell NJ (2022) Environmental DNA (eDNA) metabarcoding surveys show evidence of non-indigenous freshwater species invasion to new parts of Eastern Europe. Metabarcoding and Metagenomics 6: e68575. https://doi.org/10.3897/mbmg.6.e68575
Macro-invertebrate abundances as observed by the hydrobiological survey
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.