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919 Berlin Isotopes Dataset 2018-2021

Title
Berlin Isotopes Dataset 2018-2021
Period
2018-08-21 till 2021-12-31
Period length
3 years 4 months 10 days
Sampling interval
Irregular Interval
Description

This dataset contains water isotope measurements (d2H and d18O) from various sites around Berlin:

- weekly surface water samplings from the rivers Erpe, Spree, and Wuhle

- daily surface water samplings from the river Panke

- several spatial surface water campaigns from the rivers Panke and Erpe, plus over the entire Berlin area (including some groundwater wells)

- two seasonal (monthly, one growing season each) soil water isotope campaigns (one location each), and one seasonal groundwater campaign

- daily precipitation samples from two locations in Berlin

Species Groups
Study site
Land Berlin, city of Berlin
Sampling types
surface water, groundwater, soil water
Parameters

chemistry:

stable isotopes
name
stable isotopes
description

Typically Deuterium / 2H and 18O.

Contact
Hauke Dämpfling
Licence for data
All rights reserved. Please send a request to Hauke Dämpfling if you like to use this data. Mind our data policy: IGB Data Policy
Project
Landscape Ecohydrology Research Group Project Website

Data files (e.g. excel)

TitlecreatedFiletypeActions
readme.csv 05. Sep. 2024 13:00 datatable: .csv
Error: To access file, please get in touch with the contact person.
isotopes.csv 05. Sep. 2024 13:00 datatable: .csv
Error: To access file, please get in touch with the contact person.
metadata.csv 05. Sep. 2024 13:00 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.

  • Berlin_Isotopes_Dataset_2018-2021.xml
  • Berlin_Isotopes_Dataset_2018-2021.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)