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907 Variable habitat use supports fine-scale population differentiation of a freshwater piscivore (northern pike, Esox lucius) along salinity gradients in brackish lagoons

Title
Variable habitat use supports fine-scale population differentiation of a freshwater piscivore (northern pike, Esox lucius) along salinity gradients in brackish lagoons
Period
2020-03-01 till 2022-06-01
Period length
2 years 3 months
Sampling interval
Irregular Interval
Note on interval
Sampling in mixed situation (spring time in tributaries, outside spring in lagoons)
Description
The data in this dataset was collected by sampling otoliths and genetic samples from northern pike along environmental gradients in Baltic Sea brackish lagoons. Measurements of stable oxygen isotopes as thermal marker and strontium-calcium ratios as a saline marker were taken from the otoliths. The genetic samples wee whole genome sequenced and genotyped using a SNP panel of 33 diagnostic markers. Annual otolith increments, along with age information, were used to asssess growth performance at the individual level.
Species Groups
Study site
Bodden lagoons
Sampling types
Fish, surface water
Parameters

physics:

water temperature
name
water temperature
description

determination by temperature-probe

synonyms
water temp, Wassertemperatur

chemistry:

stable isotopes
name
stable isotopes
description

Typically Deuterium / 2H and 18O.

geodesy:

latitude
name
latitude
longitude
name
longitude
Contact
Timo Rittweg
Licence for data
All rights reserved. Please send a request to Timo Rittweg if you like to use this data. Mind our data policy: IGB Data Policy
Project
Boddenhecht Project Website
Current doi
10.18728/igb-fred-908.0
Publications

List of all publications related to this package:

  • Timo Rittweg, Clive Trueman, Michael Wiedenbeck, Jan Fietzke, Christian Wolter, Lauren Talluto, Stefan Dennenmoser, Arne Nolte, Robert Arlinghaus, 2024, Variable habitat use supports fine-scale population differentiation of a freshwater piscivore (northern pike, Esox lucius) along salinity gradients in brackish lagoons, Oecologia

Data files (e.g. excel)

TitlecreatedFiletypeActions
struct_K4_1_f_clean.txt 27. Aug. 2024 08:31 datatable: .txt
Error: To access file, please get in touch with the contact person.
Pike-LA-ICPMS-years_whole-sample_with-TL.txt 27. Aug. 2024 08:30 datatable: .txt
Error: To access file, please get in touch with the contact person.
Pike-d18O-years_whole-sample_with-TL.txt 27. Aug. 2024 08:30 datatable: .txt
Error: To access file, please get in touch with the contact person.
1Pike_Latest_Version.txt 27. Aug. 2024 08:29 datatable: .txt
Error: To access file, please get in touch with the contact person.
Samp_Inst_months.txt 27. Aug. 2024 08:29 datatable: .txt
Error: To access file, please get in touch with the contact person.
LUNGdata_clean.txt 27. Aug. 2024 08:28 datatable: .txt
Error: To access file, please get in touch with the contact person.
Logger_month_means.txt 27. Aug. 2024 08:28 datatable: .txt
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.

  • Variable_habitat_use_supports_fine-scale_population_differentiation_of_a_freshwater_piscivore_(northern_pike,_Esox_lucius)_along_salinity_gradients_in_brackish_lagoons.xml
  • Variable_habitat_use_supports_fine-scale_population_differentiation_of_a_freshwater_piscivore_(northern_pike,_Esox_lucius)_along_salinity_gradients_in_brackish_lagoons.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)