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764 Großer Plöner See

Title
Großer Plöner See
Description

Großer Plöner See in Schleswig Holstein im Verlauf der Schwentine.

Herausgeber: WOM e.V. "Wasser Otter Mensch e.V. - Verein für Ökosystemschutz und -nutzung"  http://www.seen-transparent.de

Großer Plöner See auf Seen-transparent.de

Schwentine river

Species Groups
Study site
Großer Plöner See
Sampling types
surface water
Sampling locations
Gr. Plöner See - Ascheberg
location
54.14012, 10.36783
location
type
lake
state
code
description

Ascheberg

Access by boat.

UTM location:

32 U 589357 5999976

Gr. Plöner See - Plön
location
54.15926, 10.4248
location
type
lake
state
code
description

Plön

Access from shore (dock).

UTM location:

32 U 593035 6002179

Gr. Plöner See - Fegetasche
location
54.15241, 10.44008
location
type
lake
state
code
description

Fegetasche

Access by boat.

UTM location:

32 U 594048 6001437

Großer Plöner See - Dersau
location
54.1199, 10.34457
location
type
Lake
state
code
description

Dersau

Access by boat.

UTM location:

32 U 587880 5997697

Großer Plöner See - Sepel
location
54.1246, 10.36956
location
type
Lake
state
code
description

Sepel

Access by boat.

UTM location:

32 U 589503 5998252

Parameters

physics:

secchi depth
name
secchi depth
description

synonyms
Sichttiefe, Transparancy
Contact
Edith Reck-Mieth
Licence for data
All rights reserved. Please send a request to Edith Reck-Mieth if you like to use this data. Mind our data policy: Lakebase Data Policy

Data files (e.g. excel)

TitlecreatedFiletypeActions
gr_ploener_see_secchi_depth.xlsx 28. Feb. 2023 14:54 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.

  • Großer_Plöner_See.xml
  • Großer_Plöner_See.eml

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Parsing data File

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  • 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)