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610 Bacterial protein production at Lake Große Fuchskuhle

DOI Info:

  • DOI: 10.18728/igb-fred-610.0
  • How to cite: Silke Schmidt (2021-11-24 ) Bacterial protein production at Lake Große Fuchskuhle. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-610.0

    • DOI history

    Date DOI PackageId Note
    2021-11-2510.18728/igb-fred-610.0610this package latest

Title
Bacterial protein production at Lake Große Fuchskuhle
Period
2003-04-08 till 2020-12-01
Period length
17 years 7 months 23 days
Sampling interval
1 mon Irregular Interval
Description

Rates of bacterial protein production at Lake Große Fuchskuhle Northeast and Southwest basins 2003-2020 (daily and hourly particle-associated, free water and total bacterial production)

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

Metadata files

TitleUpload dateFiletypeLicenceActions
BPP_Metadata_Fuchskuhle.pdf24. Nov. 2021 23:54.pdfODC-By Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
BPP_Fuchskuhle_NO.csv 24. Nov. 2021 23:54 datatable: .csv
Error: To access file, please get in touch with the contact person.
BPP_Fuchskuhle_SW.csv 24. Nov. 2021 23:54 datatable: .csv
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 freeODC-ByLicence.

  • Bacterial_protein_production_at_Lake_Große_Fuchskuhle.xml
  • Bacterial_protein_production_at_Lake_Große_Fuchskuhle.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)