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

568 Widespread deoxygenation of temperate lakes - Müggelsee data

DOI Info:

  • DOI: 10.18728/568.0
  • How to cite: Rita Adrian https://orcid.org/0000-0002-6318-7189, Stephen F Jane , Kevin Christopher Rose (2021-02-11 ) Widespread deoxygenation of temperate lakes - Müggelsee data . IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/568.0
  • DOI history

    Date DOI PackageId Note
    2021-02-1110.18728/568.0568this package latest
Title
Widespread deoxygenation of temperate lakes - Müggelsee data
Period
1997-01-30 till 2009-12-07
Period length
12 years 10 months 8 days
Sampling interval
Irregular Interval
Description

The concentration of oxygen dissolved in water regulates many aspects of aquatic ecosystems, including habitat suitability for biota, greenhouse gas emissions, nutrient cycling, and metal toxicity. However, little is known about how dissolved oxygen (DO) concentrations in lakes are changing through time. The solubility of oxygen in water declines with increasing water temperatures, but other temperature-sensitive processes may suppress or amplify trends through time, making long-term observations essential to understanding DO dynamics and trends.

This dataset includes measurements of dissolved oxygen and temperature from 1/30/1979 to 12/7/2009 at  Müggelsee.

Species Groups
Study site
Müggelsee
Sampling locations
Müggelsee M7
location
52.434983, 13.658983
location
code
M7
description

Deepest point in Müggelsee

Parameters

physics:

secchi depth
name
secchi depth
description

synonyms
Sichttiefe, Transparancy
water temperature
name
water temperature
description

determination by temperature-probe

synonyms
water temp, Wassertemperatur

chemistry:

O, oxygen concentration
name
O, oxygen concentration
description

determination by oxygen-probe

synonyms
Sauerstoffkonzentration
O, oxygen saturation
name
O, oxygen saturation
description

determination by oxygen-probe

synonyms
Sauerstoffsättigung

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
Rita Adrian
Licence for data
All rights reserved. Please send a request to Rita Adrian if you like to use this data. Mind our data policy: IGB Data Policy

Data files (e.g. excel)

TitlecreatedFiletypeActions
Temp_and_DO_Profiles.csv 10. Feb. 2021 18:07 datatable: .csv
Error: To access file, please get in touch with the contact person.
Secchi_depth.csv 10. Feb. 2021 18:07 datatable: .csv
Error: To access file, please get in touch with the contact person.
Productivity.csv 10. Feb. 2021 18:07 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.

  • Widespread_deoxygenation_of_temperate_lakes_-_Müggelsee_data_.xml
  • Widespread_deoxygenation_of_temperate_lakes_-_Müggelsee_data_.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)