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467 Baggersee general

Title
Baggersee general
Period
2016-01-01 ongoing
Sampling interval
Irregular Interval
Description

File All_Taxa.csv contains an "relative abundance" list of all found species of different taxa in order:

Waterfowl - Amphibians - Dragonflies - Damselflies - Song Birds - Makrophytes - Trees - Herbs

Observations are on lake-level. "Management" is either managed for recreational fischeries ("bewirtschaftet") or no recreational fisheries management ("unbewirtschaftet").

Species Groups
Study site
Baggerseen Niedersachsen
Sampling types
Macrophytes, surface water
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, 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)
electrical conductivity
name
electrical conductivity
description

determination by conductivity-probe

synonyms
elektrische Leitfähigkeit, Salinität, Salzgehalt, Konduktivität, cond
Fe, total iron
name
Fe, total iron
description

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

synonyms
Gesamteisen
Mg, magnesium
name
Mg, magnesium
description

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

synonyms
Magnesium
Mn, manganese
name
Mn, manganese
description

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

synonyms
Mangan
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
O, oxygen concentration
name
O, oxygen concentration
description

determination by oxygen-probe

synonyms
Sauerstoffkonzentration
pH
name
pH
description

pH-probe determination
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

biology:

abundance
name
abundance
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
Robert Nikolaus
Licence for data
All rights reserved. Please send a request to Robert Nikolaus if you like to use this data. Mind our data policy: IGB Data Policy
Project
BAGGERSEE Project Website

Data files (e.g. excel)

TitlecreatedFiletypeActions
Seeparameter_fuer_FRED.csv 06. Mar. 2019 11:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
All_taxa.csv 06. Mar. 2019 10:47 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.

  • Baggersee_general.xml
  • Baggersee_general.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)