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875 Bothkamper See Sichttiefen

Title
Bothkamper See Sichttiefen
Period
1991-01-01 till 2023-12-31
Period length
32 years 11 months 30 days
Sampling interval
Irregular Interval
Note on interval
sampling is ongoing
Description

Bothkamper See Sichttiefen und Chemie

Species Groups
Study site
Bothkamper See
Sampling locations
Bothkamper See
location
54.20927, 10.14224
location
type
Lake
state
code
description

Bothkamper See (sampling by boat or from jetty)

 

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:

Ca, calcium
name
Ca, calcium
description

0,45µm filtrated, inductively coupled plasma optical emission spectrometry (ICP-OES)

since 2009 with ICP-OES
before 2009 with AAS

synonyms
Kalzium
C, DIC (dissolved inorganic carbon)
name
C, DIC (dissolved inorganic carbon)
description

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

synonyms
dissolved inorganic carbon, gelöster anorganischer Kohlenstoff
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)
C, TIC (total inorganic carbon)
name
C, TIC (total inorganic carbon)
description
nondispersive infrared sensor  (NDIR) after purging with hydrochloric acid
synonyms
Gesamter anorganischer Kohlenstoff, TIC
Mn, manganese
name
Mn, manganese
description

0,45µm filtrated, inductively coupled plasma optical emission spectrometry (ICP-OES)

synonyms
Mangan
N, nitrate-nitrogen
name
N, nitrate-nitrogen
description

0,45µm filtrated, photometric determination

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

0,45µm filtrated, photometric determination

synonyms
Nitrit, nitrite, NO2, NO2-N, NO2--N
N, total dissolved nitrogen
name
N, total dissolved nitrogen
description

0,45µm filtrated, nondispersive infrared sensor  (NDIR) after combustion

synonyms
Stickstoff gelöst, gesamter gelöster Stickstoff, DN
N, total nitrogen
name
N, total nitrogen
description

nondispersive infrared sensor  (NDIR) after combustion

synonyms
Gesamtstickstoff
O, oxygen
name
O, oxygen
pH
name
pH
description

pH-probe determination
P, phosphate
name
P, phosphate
P, phosphorus
name
P, phosphorus
description

determination with ICP/OES
P, (total phosphorus)
name
P, (total phosphorus)
description

photometric determination after digestion

synonyms
total phosphorus, gesamter Phosphor
silicic acid
name
silicic acid
Contact
Jana Grote, Edith Reck-Mieth
Licence for data
All rights reserved. Please send a request to Jana Grote, Edith Reck-Mieth if you like to use this data. Mind our data policy: IGB Data Policy
Project
Herausgeber: WOM e.V. "Wasser Otter Mensch e.V. - Verein für Ökosystemschutz und -nutzung" Project Website

Data files (e.g. excel)

TitlecreatedFiletypeActions
Chemie_Tab_-Abkürzungen_FRED.pdf 15. Apr. 2024 17:59 datatable: .pdf
Error: To access file, please get in touch with the contact person.
BothkamperSee_Chemie_FRED.xlsx 15. Apr. 2024 17:57 datatable: .xlsx
Error: To access file, please get in touch with the contact person.
BothkamperSee_O2Temp_FRED.xlsx 15. Apr. 2024 17:57 datatable: .xlsx
Error: To access file, please get in touch with the contact person.
BothkamperSee_Sichttiefen_FRED.xlsx 15. Apr. 2024 17:57 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.

  • Bothkamper_See_Sichttiefen_.xml
  • Bothkamper_See_Sichttiefen_.eml

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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)