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856 Downscaling future land cover scenarios for freshwater fish distribution models under climate change

DOI Info:

  • DOI: 10.18728/igb-fred-856.0
  • How to cite: Sami Domisch, Annika Brunner, Jaime Garcia Marquez (2023-11-28 ) Downscaling future land cover scenarios for freshwater fish distribution models under climate change. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-856.0
  • DOI history

    Date DOI PackageId Note
    2023-11-2810.18728/igb-fred-856.0856this package latest
Title
Downscaling future land cover scenarios for freshwater fish distribution models under climate change
Sampling interval
Irregular Interval
Description
Land cover change and fish habitat suitability maps under different SSP scenarios at 1km spatial resolution for a larger window of Colombia.
Species Groups
Study site
Colombia
Contact
Sami Domisch
Licence for data
The data of this work are licensed under:Attribution 4.0 International
Project
GLOWABIO Project Website
Publications

List of all publications related to this package:

  • https://doi.org/10.1016/j.limno.2023.126139

Data files (e.g. excel)

TitlecreatedFiletypeActions
Colombia_SSP_land_cover_fish.zip 27. Nov. 2023 09:59 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.

  • Downscaling_future_land_cover_scenarios_for_freshwater_fish_distribution_models_under_climate_change.xml
  • Downscaling_future_land_cover_scenarios_for_freshwater_fish_distribution_models_under_climate_change.eml

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Parsing data File

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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)