2 datasets found
  1. f

    Place Name in GML Zip

    • figshare.com
    zip
    Updated Jun 3, 2020
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    Andrea Wei-Ching Huang (2020). Place Name in GML Zip [Dataset]. http://doi.org/10.6084/m9.figshare.12413471.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 3, 2020
    Dataset provided by
    figshare
    Authors
    Andrea Wei-Ching Huang
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Convert CSV to GML via MyGeodata Converter (https://mygeodata.cloud/).

  2. Z

    Open database on global coal and metal mine production

    • data.niaid.nih.gov
    • zenodo.org
    Updated Feb 14, 2023
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    Maus, Victor (2023). Open database on global coal and metal mine production [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6325108
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    Dataset updated
    Feb 14, 2023
    Dataset provided by
    Maus, Victor
    Giljum, Stefan
    Lieber, Mirko
    Jasansky, Simon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    See also the associated Data Descriptor published in Nature Scientific Data: www.nature.com/articles/s41597-023-01965-y

    This data set covers global extraction of coal and metal ores on an individual mine level. It covers 1171 individual mines in 80 different countries, reporting mine-level production for 80 different materials in the period 2000-2021. Furthermore, also data on mining coordinates, ownership, mineral reserves, mining waste, transportation of mining products, as well as mineral processing capacities (smelters and mineral refineries) and production is included. The data was gathered manually from more than 1900 openly available sources, such as annual or sustainability reports of mining companies. All datapoints are linked to their respective source documents. After manual screening and entry of the data, automatic cleaning, harmonization and data checking was conducted. Geoinformation was obtained either from coordinates available in company reports, or by retrieving the coordinates via Google Maps API and subsequent manual checking. For mines where no coordinates could be found, other geospatial attributes such as province, region, district or municipality were recorded, and linked to the GADM data set, available at www.gadm.org.

    The data set, found in the "data" sub-folder, consists of 12 tables. The table “facilities” contains descriptive and spatial information of mines and processing facilities, and is available as a GeoPackage (GPKG) file. All other tables are available in comma-separated values (CSV) format. If you are working in Excel or have problems handling the GeoPackage file, it can be converted to Excel with an online tool, such as https://mygeodata.cloud/converter/gpkg-to-xlsx.

    A schematic depiction of the database is provided in the file database_model.pdf. A description of all variables of all tables is provided in the Excel file variables_descriptions.xlsx, and all materials for which production is reported in the database are listed in the file materials_covered.xlsx.

    For convenience, global and national coverage shares for every material and country with recorded production in the database is provided in the file coverage_table.pdf. These coverage shares were calculated by comparing the production values of this database to official production statistics reported in the UNEP IRP Global Material Flows Database, to be found under https://www.resourcepanel.org/global-material-flows-database. For significant raw material producing countries, these coverage shares are also visualised in the file coverage_national_area_charts.pdf.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Andrea Wei-Ching Huang (2020). Place Name in GML Zip [Dataset]. http://doi.org/10.6084/m9.figshare.12413471.v1

Place Name in GML Zip

Explore at:
zipAvailable download formats
Dataset updated
Jun 3, 2020
Dataset provided by
figshare
Authors
Andrea Wei-Ching Huang
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

Convert CSV to GML via MyGeodata Converter (https://mygeodata.cloud/).

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