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

470 Lake Constance Carbon and Phosphorus Flows

Title
Lake Constance Carbon and Phosphorus Flows
Species Groups
Study site
Lake Constance
Parameters

functional group:

functional group
name
functional group

season:

seasonal phase
name
seasonal phase
Contact
Ursula Gaedke
Licence for data
This data are made available under the Open Database License:Open Data Commons Attribution License
Current doi
10.18728/501.0

Metadata files

TitleUpload dateFiletypeLicenceActions
MassbalancedFlowNetworks_for_Lake_Constance.pdf09. Oct. 2019 12:14.pdfODC-By Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
Dataset1_LakeConstance_MassBalancedFlows_Carbon_DepthIntegrated.xlsx 09. Oct. 2019 12:15 datatable: .xlsx Download
Dataset2_LakeConstance_MassBalancedFlows_Phosphorus_DepthIntegrated.xlsx 09. Oct. 2019 12:15 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_Carbon_and_Phosphorus_Flows.xml
  • Lake_Constance_Carbon_and_Phosphorus_Flows.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)