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1041 Fischteich Rietschen Fische

Title
Fischteich Rietschen Fische
Period
1999-05-17 till 2022-05-01
Period length
22 years 11 months 15 days
Sampling interval
3 hours Irregular Interval
Note on interval
somtimes it is not true
Description
Probebefischung aus dem Rietschener Fischteichen
Species Groups
Study site
Rietschener Teiche
Sampling locations
Unterer Oberteich
location
51.40856103611786, 14.790011644363405
location
type
Probennhamepunkt
state
in use
code
UOT1
description
Oberer Oberteich
location
51.40856270918008, 14.793074727058412
location
type
Probennhamepunkt
state
in use
code
OOT1
description
Parameters

bio, chemie:

coldness
name
coldness

meteorology:

test-2001 - der neue Schlottermayer
name
test-2001 - der neue Schlottermayer
Contact
Daniel Langenhaun
Licence for data
All rights reserved. Please send a request to Daniel Langenhaun if you like to use this data. Mind our data policy: IGB Data Policy
Project
TIADEP Project Website

Metadata files

TitleUpload dateFiletypeLicenceActions
DOI_IGB_Zeitverlauf.pdf20. May. 2022 23:44.pdf
Error: To access file, please get in touch with the contact person.

Data files (e.g. excel)

TitlecreatedFiletypeActions
all.csv 20. May. 2022 23:44 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.

  • Fischteich_Rietschen_Fische.xml
  • Fischteich_Rietschen_Fische.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)