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989 The Aral Sea after restoration

Title
The Aral Sea after restoration
Period
2018-09-01 till 2019-09-30
Period length
1 year 29 days
Description

Terms of Use

Cite by DOI and refer to the DFG project KI 853-16/1 when used. 

Species Groups
Study site
North Aral Sea
Parameters

physics:

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
Contact
Georgiy Kirillin
Licence for data
All rights reserved. Please send a request to Georgiy Kirillin if you like to use this data. Mind our data policy: IGB Data Policy
Project
DFG KI 853-16/1 "LaMer"
Current doi
10.18728/igb-fred-990.0

Metadata files

TitleUpload dateFiletypeLicenceActions
northAralSea_Metadata.pdf27. May. 2025 09:20.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
DO2019.csv 27. May. 2025 09:14 datatable: .csv Download
north-aral-temp-daily.csv 27. May. 2025 09:14 datatable: .csv Download
Temperature2019.csv 27. May. 2025 09:14 datatable: .csv Download
NorthAral_sensitivity_EGU.R 27. May. 2025 09:13 datatable: .R Download
aral_sensitivity_out.zip 27. May. 2025 09:13 datatable: .zip 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.

  • The_Aral_Sea_after_restoration.xml
  • The_Aral_Sea_after_restoration.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)