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    588 LimnoScenES Overview

    Title
    LimnoScenES Overview
    Period
    2019-02-01 ongoing
    Description

    1 Introduction LimnoScenES

    In LimnoScenES we study the impact of climate change on the development of the biodiversity of aquatic
    organisms in space and time and the resulting consequences for the quality of lakes as socio-ecological
    systems. Developing strategies for preserving biodiversity and ecosystem services (ES), in view of global
    and local changes such as heat waves, storms and pollution, are urgently needed. Stakeholder learning
    and the development of future scenarios and models are indispensable for developing these strategies.
    Overall the project aims to enable water managers to develop adaptive measures against stressors from
    climate change, as well as for managing trade-offs among freshwater based ES and biodiversity.
    In the data management plan (DPM) we describe the excepted digital output of LimnoScenES. All PI
    participated in the development of this version of the DMP.


    2 Data summary:

    This fred overview packages lists of research data packages.

     - 01-Biodiversity_data_basis:
     
           -- Data from Lakes in Québec, Canada
           -- Mesocosm experiment

    - 02 Biodiversity in time and space (Statistical modeling and data analysis)

    - 03 Stakeholder_Toolbox

    - 04 Change of biodiversity dynamics (Data analysis)

    - 05 Simulations
    Study site
    _misc
    Contact
    FRED IGB
    Licence for data
    All rights reserved. Please send a request to FRED IGB if you like to use this data. Mind our data policy: IGB Data Policy
    Project
    LimnoScenES Project Website
    Publications

    List of all publications related to this package:

    • https://limnoscenes.org/publications/

    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 freeODC-ByLicence.

    • LimnoScenES_Overview.xml
    • LimnoScenES_Overview.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)