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1120 ODER~SO | Oder River Disaster 2022 | Data | SP07: Research Data for "Salinization and the toxic alga Prymnesium parvum suppress freshwater rotifers across experimental scales"

DOI Info:

  • DOI: 10.18728/igb-fred-1120.0
  • How to cite: Margie Glenn https://orcid.org/0009-0008-9674-5600, PP-TOX (2026-07-22 ) ODER~SO | Oder River Disaster 2022 | Data | SP07: Research Data for "Salinization and the toxic alga Prymnesium parvum suppress freshwater rotifers across experimental scales". IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-1120.0

    • DOI history

    Date DOI PackageId Note
    2026-07-2210.18728/igb-fred-1120.01120this package latest
Title
ODER~SO | Oder River Disaster 2022 | Data | SP07: Research Data for "Salinization and the toxic alga Prymnesium parvum suppress freshwater rotifers across experimental scales"
Description
Datasets and R script for the study titled "Salinization and the toxic alga Prymnesium parvum suppress freshwater rotifers across experimental scales"
Species Groups
Study site
Lake Lunz
Contact
Margie Glenn ORC ID; Link to ORCID Landing Page of user
Licence for data
The data of this work are licensed under:Attribution 4.0 International

Data files (e.g. excel)

TitlecreatedFiletypeActions
mesocosm_rotifers.zip 22. Jul. 2026 13:34 datatable: .zip
Error: To access file, please get in touch with the contact person.

Machine Readable Metadata Files

FRED provides all metadata of this package in a maschine readable format. There is a pure XML file and one EML file in Ecological Metadata Language. Both files are published under the free CC BY 4.0 Licence.

  • ODER~SO_|_Oder_River_Disaster_2022_|_Data_|_SP07:_Research_Data_for_"Salinization_and_the_toxic_alga_Prymnesium_parvum_suppress_freshwater_rotifers_across_experimental_scales".xml
  • ODER~SO_|_Oder_River_Disaster_2022_|_Data_|_SP07:_Research_Data_for_"Salinization_and_the_toxic_alga_Prymnesium_parvum_suppress_freshwater_rotifers_across_experimental_scales".eml

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Parsing data File

Estimated Time:

Why does it take so much time?

While parsing a file, the database has to perform various tasks, some of them needs a lot of CPU and memory for larger files.

  • preprocessing: means automatic detection of headlines, table body, format values or csv-separators
  • copying: means read the file cell by cell and copy all elements to the database. During this format settings can be calculated (for example iso-time)
  • analyzing: check out for different data types (can be time, numeric or text)