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609 Bacterial protein production at Lake Feldberger Haussee

DOI Info:

  • DOI: 10.18728/igb-fred-609.0
  • How to cite: Silke Schmidt (2021-11-24 ) Bacterial protein production at Lake Feldberger Haussee. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-609.0

    • DOI history

    Date DOI PackageId Note
    2021-11-2510.18728/igb-fred-609.0609this package latest

Title
Bacterial protein production at Lake Feldberger Haussee
Period
2010-05-03 till 2020-02-27
Period length
9 years 9 months 24 days
Sampling interval
1 mon Irregular Interval
Description

Rates of bacterial protein production at Lake Feldberger Haussee 2003-2020 (daily and hourly particle-associated, free water and total bacterial production)

Species Groups
Study site
Feldberger Haussee
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_Haussee.pdf24. Nov. 2021 23:47.pdfODC-By Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
BPP_Haussee.csv 24. Nov. 2021 23:47 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_Feldberger_Haussee.xml
  • Bacterial_protein_production_at_Lake_Feldberger_Haussee.eml

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Parsing data File

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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)