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469 Datenset Müggelsee Fördermengen und Brunnengalerie / water extraction outtake and fountain Gallery

Title
Datenset Müggelsee Fördermengen und Brunnengalerie / water extraction outtake and fountain Gallery
Period
1959-01-01 till 2015-10-31
Period length
56 years 9 months 30 days
Description

Diese Daten zur Födermengen_Mügglesee_Brunengalerie wurden dem IGB von den Berliner Wasserbetrieben bereit gestellt:

Müggelsee  Wasserentnahme durch die Wasserwerke

Daten von 1959 bis 2015 Brunnengalerie und Seewasser.

 

These data on the Födermengen_Mügglesee_Brunengalerie were provided to the IGB by Berliner Wasserbetriebe:

Müggelsee Water outtake by the waterworks

Data from 1959 to 2015 Brunnengalerie and lake water

 

 

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

Data files (e.g. excel)

TitlecreatedFiletypeActions
Fördermengen_Müggelsee_Brunnengalerien_1959-2015-1.xlsx 14. Mar. 2019 11:34 datatable: .xlsx
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.

  • Datenset_Müggelsee_Fördermengen_und__Brunnengalerie_/_water_extraction_outtake_and_fountain_Gallery.xml
  • Datenset_Müggelsee_Fördermengen_und__Brunnengalerie_/_water_extraction_outtake_and_fountain_Gallery.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)