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882 Spree LongTerm Phytoplankton

Title
Spree LongTerm Phytoplankton
Period
2001-05-01 till 2022-12-31
Period length
21 years 7 months 30 days
Sampling interval
14 days
Description
Phytoplankton Biomass from three sites along river Spree: Große Tränke Neu Zittau Müggelhort
Species Groups
Study site
Spree
Sampling locations
Spree, Große Tränke bei Fürstenwalde (IGB-Messstelle 7)
location
52.368603, 13.997045
location
type
running water / river (Fluss)
state
code
S64
description
Spree, Neu Zittau, Spreebrücke (IGB-Messstelle 8)
location
52.392355, 13.744298
location
type
running water / river (Fluss)
state
code
S65
description
Spree, Müggelhort MS3
location
52.432304672883284, 13.676948547363283
location
type
River
state
channeld
code
S67,MS3,203
description

measuring point inflow lake Müggelsee

Parameters

biology:

biomass
name
biomass
description

Plankton biomass
Contact
Jan Köhler
Licence for data
All rights reserved. Please send a request to Jan Köhler if you like to use this data. Mind our data policy: IGB Data Policy

Data files (e.g. excel)

TitlecreatedFiletypeActions
BM_Spree_bis_2022_Liste_NZ_bis_MS3.xlsx 21. May. 2024 17:11 datatable: .xlsx
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.

  • Spree_LongTerm_Phytoplankton.xml
  • Spree_LongTerm_Phytoplankton.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)