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853 Tollensesee Thermistorkette mit Sauerstoff

Title
Tollensesee Thermistorkette mit Sauerstoff
Period
2021-03-17 ongoing
Sampling interval
30 mins
Description

Dataset of a thermistor chain with 8 temperature and 3 oxygen measurements

Species Groups
Study site
Tollensesee
Sampling locations
Messkette Tollensesee
location
53.50247878112538, 13.20666551604518
location
type
state
Mecklenburg-Vorpommern
code
description
Tiefe 28m
Parameters

physics:

water temperature
name
water temperature
description

determination by temperature-probe

synonyms
water temp, Wassertemperatur

chemistry:

O, oxygen concentration
name
O, oxygen concentration
description

determination by oxygen-probe

synonyms
Sauerstoffkonzentration
O, oxygen saturation
name
O, oxygen saturation
description

determination by oxygen-probe

synonyms
Sauerstoffsättigung
Contact
Sylvia Jordan
Licence for data
All rights reserved. Please send a request to Sylvia Jordan if you like to use this data. Mind our data policy: IGB Data Policy

Metadata files

TitleUpload dateFiletypeLicenceActions
TOL_T-O2-Messkette_Metadata_de.pdf12. Jan. 2026 16:00.pdf Download
TOL_T-O2-chain_metadata_en.pdf12. Jan. 2026 16:00.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
TOL_20210317-20251216_data.csv 12. Jan. 2026 15:41 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.

  • Tollensesee_Thermistorkette_mit_Sauerstoff.xml
  • Tollensesee_Thermistorkette_mit_Sauerstoff.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)