Tags


Click a tag to remove it from package

Edit Species Groups of Package

Edit Parameter of Package

Edit DOI Package

Choose a project for this package

FRED
  • Contact
  • GDPR policy
  • Imprint
  • About
  • Sign Up
  • Login
  • SEARCH
  • Search and find
  • Packages
  • Map
  • By Category ...
    • Study sites
    • Sampling locations
    • Parameters
    • Sampling types
    • Species groups
    • Current DOIs

597 Lake Stechlin ice observations 1961-1997

Title
Lake Stechlin ice observations 1961-1997
Period
1961-11-01 till 1997-02-28
Period length
35 years 3 months 27 days
Sampling interval
1 day Irregular Interval
Note on interval
gaps from 1987-1990
Description

Ice observations at Lake Stechlin including percentage of ice cover and percentage of snow cover on ice in the years 1961-1997.

Species Groups
Study site
Lake Stechlin
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: Lakebase Data Policy
Current doi
10.18728/igb-fred-598.0

Metadata files

TitleUpload dateFiletypeLicenceActions
Eis_Metadata_1961-1997_Stechlin.pdf24. Nov. 2021 14:02.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
Eis_Stechlin_1961-1997.csv 24. Nov. 2021 14:03 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_Stechlin_ice_observations_1961-1997.xml
  • Lake_Stechlin_ice_observations_1961-1997.eml

You are about to leaving FRED and visting a third party website. We are not responsible for the content or availability of linked sites.

To remain on our site, click Cancel.

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)