Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783568694433021952 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7412863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT schenkjanina datasetsupportingtheuseofnematodesasbioindicatorsofpollutedsediments AT hosssebastian datasetsupportingtheuseofnematodesasbioindicatorsofpollutedsediments AT brinkemarvin datasetsupportingtheuseofnematodesasbioindicatorsofpollutedsediments AT kleinboltingnils datasetsupportingtheuseofnematodesasbioindicatorsofpollutedsediments AT bruchnerhuttemannhenrike datasetsupportingtheuseofnematodesasbioindicatorsofpollutedsediments AT traunspurgerwalter datasetsupportingtheuseofnematodesasbioindicatorsofpollutedsediments |