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995 Environment90m - globally standardized environmental variables for spatial freshwater biodiversity science at high spatial resolution

DOI Info:

  • DOI: 10.18728/igb-fred-995.0
  • How to cite: J.R. García Márquez, A. Grigoropoulou, T. Tomiczek, M. Schürz, V. Bremerich, Y. Torres-Cambas, M. Buurman, K. Bego, G. Amatulli, S. Domisch (2025) Environment90m - globally standardized environmental variables for spatial freshwater biodiversity science at high spatial resolution. Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB). Dataset. https://doi.org/10.18728/igb-fred-995.0
  • DOI history

    Date DOI PackageId Note
    2025-07-1110.18728/igb-fred-995.0995this package latest
Title
Environment90m - globally standardized environmental variables for spatial freshwater biodiversity science at high spatial resolution
Sampling interval
Irregular Interval
Description

The Environment90m dataset provides 106 variables for each of the 726 million sub-catchments of the Hydrography90m dataset corresponding to single stream segments. Environment90m includes 47 variables related to topography and hydrography, 19 climate variables for the observation period of 1981-2010, as well as projections for 2041-2070 and 2071-2100 under the Shared Socioeconomic Pathways (SSPs) 1.26, 3.70 and 5.85. Moreover, Environment90m includes 22 land cover categories, 16 soil variables and two variables related to nitrogen deposition. For land cover, we also provide the annual time-series data from 1992-2020. In addition, Environment90m includes information on aridity and modelled streamflow. The summary statistics of all variables are available in the dataset (mean, min, max, range, sd).

The data is available at https://hydrography.org/environment90m/, and to facilitate data download and processing, we also provide dedicated functions within the hydrographr R-package. Moreover, we point to the GeoFRESH online platform, available at https://geofresh.org, which supports easy data retrieval for point locations anywhere in the world. For all calculations, we used the open-source tools GDAL/OGR, GRASS-GIS and AWK, so that custom data can be easily generated using the hydrographr R-package. Environment90m, along with the tools, provides an array of opportunities for research and application in spatial freshwater biodiversity science, specifically biogeographical analyses and conservation in freshwater ecosystems.

Species Groups
Study site
Global
Contact
Sami Domisch
Licence for data
The data of this work are licensed under:Attribution 4.0 International

Data files (e.g. excel)

TitlecreatedFiletypeActions
Readme.txt 30. Jun. 2025 15:30 datatable: .txt 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.

  • Environment90m_-_globally_standardized_environmental_variables_for_spatial_freshwater_biodiversity_science_at_high_spatial_resolution.xml
  • Environment90m_-_globally_standardized_environmental_variables_for_spatial_freshwater_biodiversity_science_at_high_spatial_resolution.eml

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Parsing data File

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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)