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

573 Müggelsee nutrients

DOI Info:

  • DOI: 10.18728/igb-fred-573.2
  • How to cite: Daniel Langenhaun (2021-06-07 ) Müggelsee nutrients. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-573.2
  • Previous DOI version :10.18728/490.1

    • DOI history

    Date DOI PackageId Note
    2019-06-2710.18728/490.1490
    2021-06-0710.18728/igb-fred-573.2573this package latest
Title
Müggelsee nutrients
Period
1979-03-01 ongoing
Sampling interval
7 days Irregular Interval
Note on interval
During ice coverige in winter, sampling has been performed bi-weekly.
Description

1979 - 2016 Müggelsee Chemistry and nutrients weekly sampling on mondays.

Species Groups
Study site
Müggelsee
Parameters

chemistry:

C, DOC (dissolved organic carbon)
name
C, DOC (dissolved organic carbon)
description

0,45µm filtrated,   purging with hydrochloric acid, nondispersive infrared sensor  (NDIR) after combustion

synonyms
dissolved organic material (DOM), non-purgeable organic carbon (NPOC)
Cl, chloride
name
Cl, chloride
description

0,2µm filtrated, Ionenchromatographie (IC)

synonyms
Chlorid
N, ammonia-nitrogen
name
N, ammonia-nitrogen
description

0,45µm filtrated, photometric determination

synonyms
NH4+-N, Ammonium, ammonia, NH4-N, NH4
N, nitrate-nitrogen
name
N, nitrate-nitrogen
description

0,45µm filtrated, photometric determination

synonyms
NO3-N, NO3--N, nitrate, Nitrat
N, total nitrogen
name
N, total nitrogen
description

nondispersive infrared sensor  (NDIR) after combustion

synonyms
Gesamtstickstoff
P, (soluble reactive phosphorus)
name
P, (soluble reactive phosphorus)
description

0,45µm filtrated, photometric determination

synonyms
anorganischer gelöster Phosphor, ortho-Phosphat-P, DRP, DIP, inorganic soluble phosphorus, phosphate-phosphorus
P, (total phosphorus)
name
P, (total phosphorus)
description

photometric determination after digestion

synonyms
total phosphorus, gesamter Phosphor
S, sulfate
name
S, sulfate
description

0,2µm filtrated, Ionenchromatographie (IC)

synonyms
sulphate, Sulfat

biology:

chlorophyll a
name
chlorophyll a
description

Attention: There are two different methods:

HPLC - High Performance Liquid Chromatography (ex situ)

YSI - Chlorophyll Sensor in Multiparameter probe (in situ)

synonyms
Chlorophyllkonzentration, alpha-chlorophyll
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: Lakebase Data Policy

Metadata files

TitleUpload dateFiletypeLicenceActions
Metadata_weekly_sampling_Müggelsee.pdf05. Dec. 2017 10:21.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
208_207_206_Mueggelsee_chemical_data_2013_ongoing_FRED0012.xlsx 08. Dec. 2020 14:21 datatable: .xlsx
Error: To access file, please get in touch with the contact person.
Mueggelsee_chem.xlsx 05. Feb. 2019 10:59 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.

  • Müggelsee_nutrients.xml
  • Müggelsee_nutrients.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)