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15 Bautzen reservoir dataset

Title
Bautzen reservoir dataset
Period
1976-06-16 till 2001-10-29
Period length
25 years 4 months 13 days
Species Groups
Study site
Bautzen Reservoir
Sampling types
Phytoplankton, Zooplankton, surface water
Sampling locations
Bautzen reservoir Standard-sampling location
location
51.21844015451871, 14.45948015078011
location
type
lake/reservoir
state
code
1
description

 

Standard-sampling locaton for the Bautzen reservoir

 

Bautzen reservoir Water intake tower located inside the reservoir
location
51.215947288873856, 14.469223275026707
location
type
lake/reservoir
state
code
3
description

Bautzen reservoir Water intake tower located inside the reservoir

Bautzen reservoir Centre of the reservoir
location
51.213104471042165, 14.454796343287853
location
type
lake/reservoir
state
code
4
description

 

Bautzen reservoir Centre of the reservoir

 

Bautzen reservoir pre-dam Oehna outflow into the reservoir
location
51.19900439096427, 14.446782573303594
location
type
state
code
5
description

 

pre-dam Oehna outflow into the reservoir

 

Bautzen reservoir Centre of the reservoir
location
51.18046687313993, 14.420306488117589
location
type
state
code
6
description

 

Spree (inflow into pre-dam)

 

Bautzen reservoir Ice hole near by location 1
location
51.21849391479276, 14.462999209007648
location
type
lake/reservoir
state
code
2
description

Bautzen reservoir Ice hole near by location 1

Parameters

physics:

water temperature
name
water temperature
description

determination by temperature-probe

synonyms
water temp, Wassertemperatur

chemistry:

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, nitrite-nitrogen
name
N, nitrite-nitrogen
description

0,45µm filtrated, photometric determination

synonyms
Nitrit, nitrite, NO2, NO2-N, NO2--N
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
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
silicic acid
name
silicic acid

biology:

abundance
name
abundance
biomass
name
biomass
description

Plankton biomass
biovolume
name
biovolume
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
Annekatrin Wagner
Licence for data
All rights reserved. Please send a request to Annekatrin Wagner if you like to use this data. Mind our data policy: Lakebase Data Policy
Project
LakeBase Project Website

Metadata files

TitleUpload dateFiletypeLicenceActions
Metadata_description_Bautzen_reservoir_Wagner_A_2019.pdf16. Feb. 2019 00:14.pdf
Error: To access file, please get in touch with the contact person.

Data files (e.g. excel)

TitlecreatedFiletypeActions
08-Chemie-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:24 datatable: .csv
Error: To access file, please get in touch with the contact person.
13-Institution_Reference-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
12-Sampling_device_Reference-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
11-Sampling_Location_Reference-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
10-Sampling-Stations_Reference-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
09-people-process-and_counted-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
07-ph_value-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
06-Water_Temperature-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
05-MEZ-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
04-Zooplankton_Vertikalprofil-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
03-Zooplankton_TiefengewichteteMV-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
02-Chlorophyll_a-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 datatable: .csv
Error: To access file, please get in touch with the contact person.
01-Phytoplankton-Datenbanken_Bautzen_Stand03122018.csv 10. Dec. 2018 17:21 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.

  • Bautzen_reservoir_dataset.xml
  • Bautzen_reservoir_dataset.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)