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1007 Lake Tiefwaren chemistry data (photometry) 2003-2020

DOI Info:

  • DOI: 10.18728/igb-fred-1007.0
  • How to cite: Jason Woodhouse (2025-08-22 ) Lake Tiefwaren chemistry data (photometry) 2003-2020. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-1007.0
  • DOI history

    Date DOI PackageId Note
    2025-08-2210.18728/igb-fred-1007.01007this package latest
Title
Lake Tiefwaren chemistry data (photometry) 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

Chemical data at Lake Gr Fuchskuhle (2003-2020): total phosphorus, total nitrogen, soluble reactive phosphate, nitrite, nitrate, ammonium, chlorophyll a, calcium carbonate, total inorganic carbon, NPOC, silicate, iron, aluminium, calcium, alkalinity

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
chemistry_photometry_Tiefwarensee_2003_2020.pdf22. Aug. 2025 13:57.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
Tiefwaren_2003-2020_Chla_higher_precision.csv 22. Aug. 2025 13:57 datatable: .csv
Error: To access file, please get in touch with the contact person.
chemistry_photometry_Tiefwaren_uncorrected_2003_2020.csv 22. Aug. 2025 13:57 datatable: .csv
Error: To access file, please get in touch with the contact person.
chemistry_photometry_Tiefwaren_corrected_2003_2020.csv 22. Aug. 2025 13:57 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_chemistry_data_(photometry)_2003-2020.xml
  • Lake_Tiefwaren_chemistry_data_(photometry)_2003-2020.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
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  • analyzing: check out for different data types (can be time, numeric or text)