Dataset supporting the use of nematodes as bioindicators of polluted sediments
Schenk J, Höss S, Brinke M, Kleinbölting N, Brüchner-Hüttemann H, Traunspurger W (2020)
Data in Brief 32: 106087.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Abstract / Bemerkung
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.
Stichworte
Multidisciplinary
Erscheinungsjahr
2020
Zeitschriftentitel
Data in Brief
Band
32
Art.-Nr.
106087
Urheberrecht / Lizenzen
eISSN
2352-3409
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Open-Access-Publikationskosten wurden durch die Deutsche Forschungsgemeinschaft und die Universität Bielefeld gefördert.
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https://pub.uni-bielefeld.de/record/2945007
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Schenk J, Höss S, Brinke M, Kleinbölting N, Brüchner-Hüttemann H, Traunspurger W. Dataset supporting the use of nematodes as bioindicators of polluted sediments. Data in Brief. 2020;32: 106087.
Schenk, J., Höss, S., Brinke, M., Kleinbölting, N., Brüchner-Hüttemann, H., & Traunspurger, W. (2020). Dataset supporting the use of nematodes as bioindicators of polluted sediments. Data in Brief, 32, 106087. https://doi.org/10.1016/j.dib.2020.106087
Schenk, Janina, Höss, Sebastian, Brinke, Marvin, Kleinbölting, Nils, Brüchner-Hüttemann, Henrike, and Traunspurger, Walter. 2020. “Dataset supporting the use of nematodes as bioindicators of polluted sediments”. Data in Brief 32: 106087.
Schenk, J., Höss, S., Brinke, M., Kleinbölting, N., Brüchner-Hüttemann, H., and Traunspurger, W. (2020). Dataset supporting the use of nematodes as bioindicators of polluted sediments. Data in Brief 32:106087.
Schenk, J., et al., 2020. Dataset supporting the use of nematodes as bioindicators of polluted sediments. Data in Brief, 32: 106087.
J. Schenk, et al., “Dataset supporting the use of nematodes as bioindicators of polluted sediments”, Data in Brief, vol. 32, 2020, : 106087.
Schenk, J., Höss, S., Brinke, M., Kleinbölting, N., Brüchner-Hüttemann, H., Traunspurger, W.: Dataset supporting the use of nematodes as bioindicators of polluted sediments. Data in Brief. 32, : 106087 (2020).
Schenk, Janina, Höss, Sebastian, Brinke, Marvin, Kleinbölting, Nils, Brüchner-Hüttemann, Henrike, and Traunspurger, Walter. “Dataset supporting the use of nematodes as bioindicators of polluted sediments”. Data in Brief 32 (2020): 106087.
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2020-09-18T11:29:59Z
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74859068511fcf2d5ef7b7f1f21c9b8f
Daten bereitgestellt von European Bioinformatics Institute (EBI)
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Teil dieser Dissertation
Barcoding and metabarcoding of freshwater nematode communities. Insights into molecular-based nematode identification
Schenk J (2021)
Bielefeld: Universität Bielefeld.
Schenk J (2021)
Bielefeld: Universität Bielefeld.
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