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1109 ODER~SO | Oder River Disaster 2022 | Data | SP09: eDNA-based multitrophic monitoring of aquatic organisms | Metagenomics

Title
ODER~SO | Oder River Disaster 2022 | Data | SP09: eDNA-based multitrophic monitoring of aquatic organisms | Metagenomics
Period
2023-05-27 till 2024-09-10
Period length
1 year 3 months 14 days
Sampling interval
1 mon
Species Groups
Study site
Oder
Sampling locations
Oder Stützkow Turm Querdeich
location
52.9822089758349, 14.191846847534181
location
type
river
state
code
OS 120
description
Oder Reitwein
location
52.499263367239266, 14.632930755615236
location
type
river
state
code
OS 060
description
Döbbernicksee
location
52.9691907693051, 14.160322761163117
location
type
Cutoff| refugee
state
code
NP03
description
Oder Ratzdorf
location
52.071181475773585, 14.752364158630373
location
type
river
state
code
OS010
description
Oder Frankfurt Stadtbrücke
location
52.34783778324993, 14.555050134658815
location
type
river
state
code
OS 040
description
Oder Hohenwutzen
location
52.84327888549859, 14.122774600982666
location
type
river
state
code
OS 100
description
Bauernsee-Main
location
52.987199984100215, 14.202453307807447
location
type
Cutoff| refugee
state
code
OH05
description
Neiße Ratzdorf
location
52.0670529259922, 14.758458137512209
location
type
river
state
code
N1
description

shortly before it flows into the Oder kurz vor Mündung in die Oder

Oder Aurith Fähre
location
52.24265940954635, 14.704985618591309
location
type
river
state
code
OS 030
description
Oder Schwedt Oderbrücke
location
53.035066461345245, 14.311623573303224
location
type
river
state
code
OS 130
description
Oder Europabrücke
location
52.81240667119248, 14.222445487976074
location
type
river
state
code
OS 090
description
Oder Eisenhüttenstadt
location
52.14630970625331, 14.679880142211916
location
type
river
state
code
OS 020
description
Oder Küstrin
location
52.578665763849976, 14.628510475158693
location
type
river
state
code
OS 070
description
Oder Güstebieser Loose
location
52.7622113520691, 14.318189620971681
location
type
river
state
code
OS 080
description
Oder Lebus
location
52.42420376887749, 14.543248414993288
location
type
river
state
code
OS 050
description
Bauernsee
location
52.98743012473299, 14.202193971723322
location
type
Cutoff| refugee
state
code
OH04
description
Contact
Sai Hariharan
Licence for data
All rights reserved. Please send a request to Sai Hariharan 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
sample_summary.csv 14. Jun. 2026 22:57 datatable: .csv
Error: To access file, please get in touch with the contact person.
COG_category_matrix_counts.csv 14. Jun. 2026 22:57 datatable: .csv
Error: To access file, please get in touch with the contact person.
KEGG_pathway_matrix_counts.csv 14. Jun. 2026 22:57 datatable: .csv
Error: To access file, please get in touch with the contact person.
motus_illumina_table.csv 14. Jun. 2026 22:55 datatable: .csv
Error: To access file, please get in touch with the contact person.
motus_illumina_genus_table.csv 14. Jun. 2026 22:55 datatable: .csv
Error: To access file, please get in touch with the contact person.
motus_nanopore_table.csv 14. Jun. 2026 22:55 datatable: .csv
Error: To access file, please get in touch with the contact person.
oder_site_coordinates_WGS84.csv 14. Jun. 2026 22:55 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_|_Metagenomics.xml
  • ODER~SO_|_Oder_River_Disaster_2022_|_Data_|_SP09:_eDNA-based_multitrophic_monitoring_of_aquatic_organisms_|_Metagenomics.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)