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1068 Lake Constance, Biomasses of bacteria, APP, phytoplankton, ciliates, rotifers, crustaceans

Title
Lake Constance, Biomasses of bacteria, APP, phytoplankton, ciliates, rotifers, crustaceans
Species Groups
Study site
Lake Constance
Sampling locations
Lake Constance Überlingen Sampling location
location
47.762909, 9.130241
location
type
lake
state
natural
code
description
Contact
Ursula Gaedke ORC ID; Link to ORCID Landing Page of user
Licence for data
All rights reserved. Please send a request to Ursula Gaedke if you like to use this data. Mind our data policy: IGB Data Policy

Data files (e.g. excel)

TitlecreatedFiletypeActions
Rotifers_Lookup_table.xlsx 23. Mar. 2026 14:42 datatable: .xlsx Download
Supplement_Table.xlsx 12. Mar. 2026 14:24 datatable: .xlsx Download
Ciliate_biomass.xlsx 12. Mar. 2026 14:24 datatable: .xlsx Download
Phytoplankton_biomass.xlsx 12. Mar. 2026 14:24 datatable: .xlsx Download
Rotifer_biomass.xlsx 12. Mar. 2026 14:24 datatable: .xlsx Download
Crustaceans_biomass_species_resolved_1979-1998.xlsx 12. Mar. 2026 14:24 datatable: .xlsx Download
Phytoplankton_Lookup_table_2_morphotype.xlsx 12. Mar. 2026 14:24 datatable: .xlsx Download
Phytoplankton_Lookup_table_1_species.xlsx 12. Mar. 2026 14:24 datatable: .xlsx Download
Crustaceans_Lookup_table.xlsx 12. Mar. 2026 14:24 datatable: .xlsx Download
Autotrophic_picoplankton_biomass.xlsx 12. Mar. 2026 14:24 datatable: .xlsx Download
Bacterial_biomass.xlsx 12. Mar. 2026 14:24 datatable: .xlsx Download
Ciliates_Lookup_table.xlsx 12. Mar. 2026 14:24 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 free CC BY 4.0 Licence.

  • Lake_Constance,__Biomasses_of_bacteria,_APP,_phytoplankton,_ciliates,_rotifers,_crustaceans.xml
  • Lake_Constance,__Biomasses_of_bacteria,_APP,_phytoplankton,_ciliates,_rotifers,_crustaceans.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)