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762 Hydrography90m: A new high-resolution global hydrographic dataset

DOI Info:

  • DOI: 10.18728/igb-fred-762.1
  • How to cite: 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

    • DOI history

    Date DOI PackageId Note
    2022-08-0910.18728/igb-fred-762.1762this package latest

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

Species Groups
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

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.

  • Hydrography90m:_A_new_high-resolution_global_hydrographic_dataset.xml
  • Hydrography90m:_A_new_high-resolution_global_hydrographic_dataset.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)