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1009 Lake Tiefwaren vertical profiles of multiparameter probe data 2003-2020

DOI Info:

  • DOI: 10.18728/igb-fred-1009.0
  • How to cite: Jason Woodhouse (2025-08-22 ) Lake Tiefwaren vertical profiles of multiparameter probe data 2003-2020. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-1009.0
  • DOI history

    Date DOI PackageId Note
    2025-08-2210.18728/igb-fred-1009.01009this package latest
Title
Lake Tiefwaren vertical profiles of multiparameter probe data 2003-2020
Period
2003-01-13 till 2020-12-10
Period length
17 years 10 months 28 days
Sampling interval
1 mon Irregular Interval
Description

Vertical profiles of multiparameter probe data at Lake Stechlin: water temperature, dissolved oxygen, oxygen saturation, pH, elctrical conductivity, turbidity, chlorophyll a, blue-green algae, secchi depth

Species Groups
Study site
Tiefwarensee
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
physics_sonde_data_Tiefwaren_2003-2020.pdf22. Aug. 2025 14:00.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
physics_sonde_Tiefwaren_2003_2020.csv 22. Aug. 2025 14:00 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 free CC BY 4.0 Licence.

  • Lake_Tiefwaren_vertical_profiles_of_multiparameter_probe_data_2003-2020.xml
  • Lake_Tiefwaren_vertical_profiles_of_multiparameter_probe_data_2003-2020.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)