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

1088 ODER~SO | Oder River Disaster 2022 | Data | SP12a: birds

Title
ODER~SO | Oder River Disaster 2022 | Data | SP12a: birds
Period
2025-03-09 till 2025-06-20
Period length
3 months 11 days
Sampling interval
Irregular Interval
Note on interval
six survey rounds between March, 9th and June 20th 2025
Species Groups
Birds
Study site
Oder
Sampling locations
Lossow
location
52.303317137465214, 14.580531120300295
location
type
floodplain
state
code
description
Bleyen
location
52.6020740349719, 14.601538181304933
location
type
floodplain
state
code
description
Reitwein
location
52.50117964142528, 14.628725051879885
location
type
floodplain
state
code
description
Lebus
location
52.402192607408146, 14.533340334892275
location
type
floodplain
state
code
description
Aurith
location
52.23232443685416, 14.71247434616089
location
type
floodplain
state
code
description
Parameters

biology:

abundance
name
abundance
Contact
Cornelia Sophie Wagner ORC ID; Link to ORCID Landing Page of user
Licence for data
All rights reserved. Please send a request to Cornelia Sophie Wagner 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

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_|_SP12a:_birds.xml
  • ODER~SO_|_Oder_River_Disaster_2022_|_Data_|_SP12a:_birds.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)