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890 Unpredicted ecosystem response to compound human impacts in a European river

DOI Info:

  • DOI: 10.18728/igb-fred-890.0
  • How to cite: Köhler J et al. (2024) Unpredicted ecosystem response to compound human impacts in a European river. Dataset. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. https://doi.org/10.18728/igb-fred-890.0
  • DOI history

    Date DOI PackageId Note
    2024-07-1110.18728/igb-fred-890.0890this package latest
Title
Unpredicted ecosystem response to compound human impacts in a European river
Sampling interval
Irregular Interval
Description

Additional data to: Köhler J, Varga E, Spahr S, Gessner J, Stelzer K, Brandt G, Mahecha MD, Kraemer G, Pusch M, Wolter C, Monaghan MT, Stöck M, Goldhammer T (accepted manuscript) Unpredicted ecosystem response to compound human impacts in a European river. Scientific Reports

 

Species Groups
Study site
Oder
Contact
Tobias Goldhammer
Licence for data
All rights reserved. Please send a request to Tobias Goldhammer if you like to use this data. Mind our data policy: IGB Data Policy
Publications

List of all publications related to this package:

  • https://doi.org/10.21203/rs.3.rs-3792221/v1

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.

  • Unpredicted_ecosystem_response_to_compound_human_impacts_in_a_European_river.xml
  • Unpredicted_ecosystem_response_to_compound_human_impacts_in_a_European_river.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)