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Dataset supporting the use of nematodes as bioindicators of polluted sediments

We provide the dataset supporting the research article “Nematodes as bioindicators of polluted sediments using metabarcoding and microscopic taxonomy” [1]. Nematodes are frequently used as bioindicators and the NemaSPEAR[%] is an validated index that is originally based on morphological data. The in...

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Autores principales: Schenk, Janina, Höss, Sebastian, Brinke, Marvin, Kleinbölting, Nils, Brüchner-Hüttemann, Henrike, Traunspurger, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412863/
https://www.ncbi.nlm.nih.gov/pubmed/32793779
http://dx.doi.org/10.1016/j.dib.2020.106087
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author Schenk, Janina
Höss, Sebastian
Brinke, Marvin
Kleinbölting, Nils
Brüchner-Hüttemann, Henrike
Traunspurger, Walter
author_facet Schenk, Janina
Höss, Sebastian
Brinke, Marvin
Kleinbölting, Nils
Brüchner-Hüttemann, Henrike
Traunspurger, Walter
author_sort Schenk, Janina
collection PubMed
description We provide the dataset supporting the research article “Nematodes as bioindicators of polluted sediments using metabarcoding and microscopic taxonomy” [1]. Nematodes are frequently used as bioindicators and the NemaSPEAR[%] is an validated index that is originally based on morphological data. The index was compared to molecular sequence data for the 28S rDNA, 18S rDNA and COI gene for 7 locations. This dataset includes chemical analyses of the sediments for 33 different substances. The sequence data for OTU-based analyses for the 28S rDNA, 18S rDNA and COI gene is given, together with the read distribution during bioinformatics processing. We furthermore include alternative ASV data, based on a cluster-independent approach. The morphological data is presented, including the biomass for each species, as well as an overview about whether the species is represented in the NCBI database. Furthermore, rarefaction analysis is given for the morphological data, and furthermore NMDS plots for the species and genus level based on morphological and molecular data. The correlation between the mean PEC-Q and the NemaSPEAR[%] values is given in order to compare the efficiency of the index, based on morphological and molecular data.
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spelling pubmed-74128632020-08-12 Dataset supporting the use of nematodes as bioindicators of polluted sediments Schenk, Janina Höss, Sebastian Brinke, Marvin Kleinbölting, Nils Brüchner-Hüttemann, Henrike Traunspurger, Walter Data Brief Data Article We provide the dataset supporting the research article “Nematodes as bioindicators of polluted sediments using metabarcoding and microscopic taxonomy” [1]. Nematodes are frequently used as bioindicators and the NemaSPEAR[%] is an validated index that is originally based on morphological data. The index was compared to molecular sequence data for the 28S rDNA, 18S rDNA and COI gene for 7 locations. This dataset includes chemical analyses of the sediments for 33 different substances. The sequence data for OTU-based analyses for the 28S rDNA, 18S rDNA and COI gene is given, together with the read distribution during bioinformatics processing. We furthermore include alternative ASV data, based on a cluster-independent approach. The morphological data is presented, including the biomass for each species, as well as an overview about whether the species is represented in the NCBI database. Furthermore, rarefaction analysis is given for the morphological data, and furthermore NMDS plots for the species and genus level based on morphological and molecular data. The correlation between the mean PEC-Q and the NemaSPEAR[%] values is given in order to compare the efficiency of the index, based on morphological and molecular data. Elsevier 2020-07-26 /pmc/articles/PMC7412863/ /pubmed/32793779 http://dx.doi.org/10.1016/j.dib.2020.106087 Text en © 2020 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Schenk, Janina
Höss, Sebastian
Brinke, Marvin
Kleinbölting, Nils
Brüchner-Hüttemann, Henrike
Traunspurger, Walter
Dataset supporting the use of nematodes as bioindicators of polluted sediments
title Dataset supporting the use of nematodes as bioindicators of polluted sediments
title_full Dataset supporting the use of nematodes as bioindicators of polluted sediments
title_fullStr Dataset supporting the use of nematodes as bioindicators of polluted sediments
title_full_unstemmed Dataset supporting the use of nematodes as bioindicators of polluted sediments
title_short Dataset supporting the use of nematodes as bioindicators of polluted sediments
title_sort dataset supporting the use of nematodes as bioindicators of polluted sediments
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412863/
https://www.ncbi.nlm.nih.gov/pubmed/32793779
http://dx.doi.org/10.1016/j.dib.2020.106087
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