Replication Data for: Issues of under-amplification in quantitative DNA metabarcoding weaken the inference about diet of the tundra vole Microtus oeconomus

This dataset contains raw metabarcoding sequences and final filtered data used for analysing the quantitative accuracy of dietary metabarcoding by comparing relative read abundance of sequences with expected known diet composition. This relationship’s robustness is highly dependent on the system und...

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Main Author: Neby, Magne
Other Authors: Soininen, Eeva M., Ims, Rolf A., Devineau, Olivier, Kamenova, Stefaniya
Format: Other/Unknown Material
Language:English
Published: DataverseNO 2021
Subjects:
Online Access:https://doi.org/10.18710/HJAVSN
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spelling ftdataverseno:doi:10.18710/HJAVSN 2023-10-29T02:40:44+01:00 Replication Data for: Issues of under-amplification in quantitative DNA metabarcoding weaken the inference about diet of the tundra vole Microtus oeconomus Neby, Magne Neby, Magne Soininen, Eeva M. Ims, Rolf A. Devineau, Olivier Kamenova, Stefaniya 2021-07-28 https://doi.org/10.18710/HJAVSN English eng DataverseNO https://doi.org/10.18710/HJAVSN Medicine Health and Life Sciences metabarcoding diet high-throughput vole Metabarcoding sequencing data Experimental data 2021 ftdataverseno https://doi.org/10.18710/HJAVSN 2023-10-04T22:54:10Z This dataset contains raw metabarcoding sequences and final filtered data used for analysing the quantitative accuracy of dietary metabarcoding by comparing relative read abundance of sequences with expected known diet composition. This relationship’s robustness is highly dependent on the system under study, calling for case-specific assessments. We found a weakly positive relationship between the number of high-throughput DNA sequences and the expected biomass proportions of food plants. Other/Unknown Material Tundra DataverseNO
institution Open Polar
collection DataverseNO
op_collection_id ftdataverseno
language English
topic Medicine
Health and Life Sciences
metabarcoding
diet
high-throughput
vole
spellingShingle Medicine
Health and Life Sciences
metabarcoding
diet
high-throughput
vole
Neby, Magne
Replication Data for: Issues of under-amplification in quantitative DNA metabarcoding weaken the inference about diet of the tundra vole Microtus oeconomus
topic_facet Medicine
Health and Life Sciences
metabarcoding
diet
high-throughput
vole
description This dataset contains raw metabarcoding sequences and final filtered data used for analysing the quantitative accuracy of dietary metabarcoding by comparing relative read abundance of sequences with expected known diet composition. This relationship’s robustness is highly dependent on the system under study, calling for case-specific assessments. We found a weakly positive relationship between the number of high-throughput DNA sequences and the expected biomass proportions of food plants.
author2 Neby, Magne
Soininen, Eeva M.
Ims, Rolf A.
Devineau, Olivier
Kamenova, Stefaniya
format Other/Unknown Material
author Neby, Magne
author_facet Neby, Magne
author_sort Neby, Magne
title Replication Data for: Issues of under-amplification in quantitative DNA metabarcoding weaken the inference about diet of the tundra vole Microtus oeconomus
title_short Replication Data for: Issues of under-amplification in quantitative DNA metabarcoding weaken the inference about diet of the tundra vole Microtus oeconomus
title_full Replication Data for: Issues of under-amplification in quantitative DNA metabarcoding weaken the inference about diet of the tundra vole Microtus oeconomus
title_fullStr Replication Data for: Issues of under-amplification in quantitative DNA metabarcoding weaken the inference about diet of the tundra vole Microtus oeconomus
title_full_unstemmed Replication Data for: Issues of under-amplification in quantitative DNA metabarcoding weaken the inference about diet of the tundra vole Microtus oeconomus
title_sort replication data for: issues of under-amplification in quantitative dna metabarcoding weaken the inference about diet of the tundra vole microtus oeconomus
publisher DataverseNO
publishDate 2021
url https://doi.org/10.18710/HJAVSN
genre Tundra
genre_facet Tundra
op_relation https://doi.org/10.18710/HJAVSN
op_doi https://doi.org/10.18710/HJAVSN
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