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

1153 Diversity gradient in artificial freshwater communities including grazers (WP2, LMU)

Title
Diversity gradient in artificial freshwater communities including grazers (WP2, LMU)
Period
2024-11-12 till 2025-02-01
Period length
2 months 19 days
Sampling interval
1 day
Species Groups
Phytoplankton
Study site
_multiple sites
Sampling locations
Biocenter Ludwig-Maximilians-University of Munich
location
48.10902098157971, 11.458225250244142
location
type
Laboratory
state
Germany
code
description
Contact
Sophia Kopp
Licence for data
All rights reserved. Please send a request to Sophia Kopp if you like to use this data. Mind our data policy: IGB Data Policy
Project
BLIC-Blooms Like It Colorful

Metadata files

TitleUpload dateFiletypeLicenceActions
Metadaten_WP2Grazer_FixArea_SpeciesContribution.pdf13. Oct. 2026 12:14.pdf
Error: To access file, please get in touch with the contact person.
Metadata_WP2Grazer_Lugol.pdf13. Oct. 2026 11:39.pdf
Error: To access file, please get in touch with the contact person.
Metadata_WP2Grazer.pdf13. Oct. 2026 10:27.pdf
Error: To access file, please get in touch with the contact person.
Metadata_AquaPen_raw.pdf09. Oct. 2026 09:43.pdf
Error: To access file, please get in touch with the contact person.
Metadata_DissolvedNutrients_raw.pdf09. Oct. 2026 09:43.pdf
Error: To access file, please get in touch with the contact person.
Metadata_CN_raw.pdf09. Oct. 2026 09:43.pdf
Error: To access file, please get in touch with the contact person.

Data files (e.g. excel)

TitlecreatedFiletypeActions
WP2Grazer_FixArea_SpeciesContribution.xlsx 13. Oct. 2026 12:15 datatable: .xlsx
Error: To access file, please get in touch with the contact person.
WP2Grazer.xlsx 13. Oct. 2026 10:26 datatable: .xlsx
Error: To access file, please get in touch with the contact person.
WP2Grazer_Grazer.xlsx 09. Oct. 2026 09:35 datatable: .xlsx
Error: To access file, please get in touch with the contact person.
WP2Grazer_Lugol.xlsx 09. Oct. 2026 09:28 datatable: .xlsx
Error: To access file, please get in touch with the contact person.
BLIC_WP2Grazer_Lugol_rawdata.zip 09. Oct. 2026 09:27 datatable: .zip
Error: To access file, please get in touch with the contact person.
BLIC_WP2Grazer_AquaPen_rawdata.zip 09. Oct. 2026 09:19 datatable: .zip
Error: To access file, please get in touch with the contact person.
BLIC_WP2Grazer_CN_rawdata.zip 09. Oct. 2026 09:18 datatable: .zip
Error: To access file, please get in touch with the contact person.
BLIC_WP2Grazer_DissolvedNutrients_rawdata.zip 09. Oct. 2026 09:18 datatable: .zip
Error: To access file, please get in touch with the contact person.
BLIC_WP2Grazer_PP_rawdata.zip 09. Oct. 2026 09:18 datatable: .zip
Error: To access file, please get in touch with the contact person.
BLIC_WP2Grazer_TP_rawdata.zip 09. Oct. 2026 09:17 datatable: .zip
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.

  • Diversity_gradient_in_artificial_freshwater_communities_including_grazers_(WP2,_LMU).xml
  • Diversity_gradient_in_artificial_freshwater_communities_including_grazers_(WP2,_LMU).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)