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600 Upper Lake Nehmitz ice observations 2008-2020

DOI Info:

  • DOI: 10.18728/igb-fred-600.0
  • How to cite: Silke Schmidt (2021-11-24 ) Upper Lake Nehmitz ice observations 2008-2020. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-600.0
  • DOI history

    Date DOI PackageId Note
    2021-11-2410.18728/igb-fred-600.0600this package latest
Title
Upper Lake Nehmitz ice observations 2008-2020
Period
2008-12-01 till 2020-03-31
Period length
11 years 3 months 30 days
Sampling interval
Irregular Interval
Description

Ice observations at Upper Lake Nehmitz including percentage of ice cover and percentage of snow cover on ice in the years 2008-2020.

Species Groups
Study site
Lake Nehmitz
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
Eis_Metadata_2008-2020_Nehmitz.pdf24. Nov. 2021 14:21.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
Eis_Nehmitz_2008-2020.csv 24. Nov. 2021 14:21 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.

  • Upper_Lake_Nehmitz_ice_observations_2008-2020.xml
  • Upper_Lake_Nehmitz_ice_observations_2008-2020.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)