Tags

Click a tag to remove it from package

Edit Species Groups of Package

Edit Parameter of 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

473 Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems

Title
Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems
Description

Studysites

Lake Müggelsee

Lake Washington

Lake Võrtsjärv

Lake Zwemlust

Lake Veluwemeer

Species Groups
Study site
_multiple sites
Contact
Rita Adrian
Licence for data
All rights reserved. Please send a request to Rita Adrian if you like to use this data. Mind our data policy: IGB Data Policy
Publications

List of all publications related to this package:

  • 2016 Alena Sonia Gsell; Ulrike Scharfenberger; Deniz Özkundakci; Annika Walters; Lars-Anders Hansson; Annette B. G. Janssen; Peeter Noges; Philip C. Reid; Daniel E. Schindler; Ellen van Donk; Vasilis Dakos; Rita Adrian Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems Proceedings of the National Academy of Sciences of the United States of America. - 113(2016)50, E8089-E8095

Data files (e.g. excel)

TitlecreatedFiletypeActions
early_warning_underlying_data.xlsx 29. Mar. 2019 12:07 datatable: .xlsx Download

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 freeODC-ByLicence.

  • Evaluating_early-warning_indicators_of_critical_transitions_in_natural_aquatic_ecosystems_.xml
  • Evaluating_early-warning_indicators_of_critical_transitions_in_natural_aquatic_ecosystems_.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)