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1,076 results for “Metabarcoding”

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zenodo28/100

Supplementary material 1 from: Martin JL, Santi I, Pitta P, John U, Gypens N (2022) Towards quantitative metabarcoding of eukaryotic plankton: an approach to improve 18S rRNA gene copy number bias. Metabarcoding and Metagenomics 6: e85794. https://doi.org/10.3897/mbmg.6.85794

Supplementary Data 1

opencc-zeroAug 2022View details →
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Supplementary material 3 from: Martin JL, Santi I, Pitta P, John U, Gypens N (2022) Towards quantitative metabarcoding of eukaryotic plankton: an approach to improve 18S rRNA gene copy number bias. Metabarcoding and Metagenomics 6: e85794. https://doi.org/10.3897/mbmg.6.85794

Supplementary Data 3

opencc-zeroAug 2022View details →
zenodo28/100

Supplementary material 4 from: Martin JL, Santi I, Pitta P, John U, Gypens N (2022) Towards quantitative metabarcoding of eukaryotic plankton: an approach to improve 18S rRNA gene copy number bias. Metabarcoding and Metagenomics 6: e85794. https://doi.org/10.3897/mbmg.6.85794

Tables S1–S4, Figures S1–S4

opencc-zeroAug 2022View details →
zenodo28/100

Supplementary material 2 from: Sildever S, Nishi N, Inaba N, Asakura T, Kikuchi J, Asano Y, Kobayashi T, Gojobori T, Nagai S (2022) Monitoring harmful microalgal species and their appearance in Tokyo Bay, Japan, using metabarcoding. Metabarcoding and Metagenomics 6: e79471. https://doi.org/10.3897/mbmg.6.79471

Tables S1–S13

opencc-zeroAug 2022View details →
zenodo28/100

Supplementary material 1 from: Sildever S, Nishi N, Inaba N, Asakura T, Kikuchi J, Asano Y, Kobayashi T, Gojobori T, Nagai S (2022) Monitoring harmful microalgal species and their appearance in Tokyo Bay, Japan, using metabarcoding. Metabarcoding and Metagenomics 6: e79471. https://doi.org/10.3897/mbmg.6.79471

Figures S1–S6

opencc-zeroAug 2022View details →
zenodo28/100

Supplementary material 1 from: Inoue N, Sato M, Furuichi N, Imaizumi T, Ushio M (2022) The relationship between eDNA density distribution and current fields around an artificial reef in the waters of Tateyama Bay, Japan. Metabarcoding and Metagenomics 6: e87415. https://doi.org/10.3897/mbmg.6.87415

Tables S1–S4

opencc-zeroSep 2022View details →
zenodo28/100

Supplementary material 1 from: Moore MA, Scheible MK, Robertson JB, Meiklejohn KA (2022) Assessing the lysis of diverse pollen from bulk environmental samples for DNA metabarcoding. Metabarcoding and Metagenomics 6: e89753. https://doi.org/10.3897/mbmg.6.89753

Table S1

opencc-zeroSep 2022View details →
zenodo28/100

Supplementary material 2 from: Inoue N, Sato M, Furuichi N, Imaizumi T, Ushio M (2022) The relationship between eDNA density distribution and current fields around an artificial reef in the waters of Tateyama Bay, Japan. Metabarcoding and Metagenomics 6: e87415. https://doi.org/10.3897/mbmg.6.87415

Figures S1–S4

opencc-zeroSep 2022View details →
zenodo28/100

Supplementary material 2 from: Moore MA, Scheible MK, Robertson JB, Meiklejohn KA (2022) Assessing the lysis of diverse pollen from bulk environmental samples for DNA metabarcoding. Metabarcoding and Metagenomics 6: e89753. https://doi.org/10.3897/mbmg.6.89753

Table S2

opencc-zeroSep 2022View details →
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Figure 2. A in Elasmobranch diversity across a remote coral reef atoll revealed through environmental DNA metabarcoding

Figure 2. A, taxonomic breakdown of eDNA reads by class in water samples collected around Diego Garcia atoll in September 2019. In each case, the fraction of the water column sampled is denoted by the colour key displayed below each bar. B, principal coordinate analysis (PCoA) of read abundance of all fish and elasmobranch ASVs per sample based on Bray–Curtis similarity. C, PCoA of read abundance of elasmobranch ASVs per sample based on Bray–Curtis similarity. Site numbers refer to the sites described in Figure 1.

opencc-by-4.0Sep 2022View details →
zenodo28/100

Figure 1 in Elasmobranch diversity across a remote coral reef atoll revealed through environmental DNA metabarcoding

Figure 1. Location of water sampling sites around Diego Garcia. Triangles represent sampling sites on the outside of the atoll (N = 27), sites where samples were taken at 40 m and the surface (paired) are shown with a dark triangle inside. Circles represent lagoon samples (N = 5). Contour lines show the bottom depth in meters and colours represent the designated habitats around the atoll. Inset shows the location of Diego Garcia with respect to the other atolls in the Chagos Archipelago. Map was made using QGIS v.3.

opencc-by-4.0Sep 2022View details →
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Supplementary material 5 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 S5. Data set of the ITS2 barcode.: Explanation note: Data set of the ITS2 barcode.

opencc-by-4.0May 2015View details →
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Supplementary material 4 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 S4. Data set of the ITS1 barcode.: Explanation note: Data set of the ITS1 barcode.

opencc-by-4.0May 2015View details →
zenodo28/100

Supplementary material 3 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 similarity of used inline tags for the fwh1 and fwh2 fusion primers.

opencc-zeroJan 2018View details →
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Supplementary material 2 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

Developed fusion primers for fwh1 and fwh2 on the Illumina high throughput sequencing platform.

opencc-zeroJan 2018View details →
zenodo28/100

Supplementary material 11 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

Proportion of shared reads between the two replicates for DceM amplified with the fwh1 primer set.

opencc-zeroJan 2018View details →
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Supplementary material 10 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

OTU table for the 52 taxa mock samples sequenced with the fwh1 and fwh2 primer set.

opencc-zeroJan 2018View details →
zenodo28/100

Supplementary material 1 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

Primers evaluated in this study

opencc-zeroJan 2018View details →
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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.

opencc-zeroJan 2018View details →
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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.

opencc-zeroJan 2018View details →

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Allen Brain Atlas

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DANDI Archive for NWB datasets

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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.

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OpenNeuro

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Last verified 2026-04-29Open record