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    762 Hydrography90m: A new high-resolution global hydrographic dataset

    DOI Info:

    • DOI:10.18728/igb-fred-762.1
    • Citation suggestion: Amatulli G., Garcia Marquez J., Sethi T., Kiesel J., Grigoropoulou A., Üblacker M., Shen L. & Domisch S. (2022-08-09 ) Hydrography90m: A new high-resolution global hydrographic dataset. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-762.1
    • FRED-datapackage: 619
    Title
    Hydrography90m: A new high-resolution global hydrographic dataset
    Sampling interval
    Irregular Interval
    Description

    A global high-resolution (90m) hydrographical network that delineates headwater stream channels in great detail. Raster and vector data available at https://hydrography.org/ and https://public.igb-berlin.de/index.php/s/agciopgzXjWswF4

    Keywords
    freshwater, stream, river, network
    Study site
    _multiple sites
    GeoNode references

    GeoNode maps

    • Hydrography90m
    Contact
    Sami Domisch
    Licence for data
    The data of this work are licensed under:Attribution-NonCommercial 4.0 International
    Publications

    List of all publications related to this package:

    • Amatulli, G., Garcia Marquez, J., Sethi, T., Kiesel, J., Grigoropoulou, A., Üblacker, M., Shen, L. & Domisch, S. (2022) Hydrography90m: A new high-resolution global hydrographic dataset. Earth Syst. Sci. Data Discuss., 2022, 1-43.

    Machine Readable Metadata Files

    Title Upload dateFiletypeLicenseActions
    General_Metadata_Hydrography90m:_A_new_high-resolution_global_hydrographic_dataset.xml03. Oct. 2022 13:00xmlODC-By Download
    General_Metadata_Hydrography90m:_A_new_high-resolution_global_hydrographic_dataset.eml03. Oct. 2022 13:00emlODC-By Download

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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)