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1112 ODER~SO | Oder River Disaster 2022 | Data | SP09: eDNA-based multitrophic monitoring of aquatic organisms | Metabarcoding

Title
ODER~SO | Oder River Disaster 2022 | Data | SP09: eDNA-based multitrophic monitoring of aquatic organisms | Metabarcoding
Period
2023-05-31 till 2025-08-06
Period length
2 years 2 months 6 days
Sampling interval
14 days Irregular Interval
Species Groups
Phytoplankton, Zooplankton, Macrozoobenthos
Study site
Oder
Sampling types
surface water
Sampling locations
Ziegenwerder, Buhnenkopf
location
52.340843, 14.560801
location
type
River
state
code
Z
description
Schwedt, Oderbrücke
location
53.03475, 14.311889
location
type
River
state
code
S
description
Criewen, Alte Oder
location
53.010979, 14.226625
location
type
state
code
C
description

Hohensaaten-Friedrichthaler-Wasserstraße

Hohenwutzen
location
52.843231, 14.12326
location
type
River
state
code
H
description
Alte Oder-Criewener Alte Oder
location
53.014891, 14.257777
location
type
state
code
N
description

Nationalpark Unteres Odertal, close to Criewen

Contact
Daniel Wewer, Katrin Kiemel
Licence for data
All rights reserved. Please send a request to Daniel Wewer, Katrin Kiemel if you like to use this data. Mind our data policy: IGB Data Policy
Project
ODER~SO - Incident-related special investigation programme for the environmental disaster in the Oder River of August 2022 Project Website

Data files (e.g. excel)

TitlecreatedFiletypeActions
add_sampled_locations.csv 02. Jul. 2026 06:24 datatable: .csv
Error: To access file, please get in touch with the contact person.
reg_sampled_locations.csv 02. Jul. 2026 06:24 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.

  • ODER~SO_|_Oder_River_Disaster_2022_|_Data_|_SP09:_eDNA-based_multitrophic_monitoring_of_aquatic_organisms_|_Metabarcoding.xml
  • ODER~SO_|_Oder_River_Disaster_2022_|_Data_|_SP09:_eDNA-based_multitrophic_monitoring_of_aquatic_organisms_|_Metabarcoding.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)