mcf:
  version: 1.0
metadata:
  identifier: 10.5281-zenodo.4091171
  dataseturi: https://doi.org/10.5281/zenodo.4091171
  dates:
    creation: '2020-10-16T07:34:41.000Z'
    publication: '2020'
distribution:
  10.5281/zenodo.4091170:
    url: https://doi.org/10.5281/zenodo.4091170
    type: IsVersionOf
identification:
  title: 'iSDAsoil: soil extractable Zinc for Africa predicted at 30 m resolution
    at 0-20 and 20-50 cm depths'
  abstract: "<p>iSDAsoil dataset soil extractable Zinc (Zn) log-transformed predicted\
    \ at 30 m resolution for 0-20 and 20-50 cm depth intervals. Data has\
    \ been projected in WGS84 coordinate system and compiled as <a href=https://gdal.org/drivers/raster/cog.html/>COG</a>. Predictions have\
    \ been generated using multi-scale Ensemble Machine Learning with 250 m (MODIS,\
    \ PROBA-V, climatic variables and similar) and 30 m (DTM derivatives, Landsat,\
    \ Sentinel-2 and similar) resolution covariates. For model training we use a pan-African\
    \ compilations of soil samples and profiles (<a href=https://www.isda-africa.com/national-soil-services/>iSDA points</a>,
    <a href=https://www.isric.org/projects/africa-soil-profiles-database-afsp/>AfSPDB</a>, and other national\
    \ and regional soil datasets). Cite as:</p>

   <p>Hengl, T., Miller, M.A.E., Križan,\
    \ J. <i>et al.</i> African soil properties and nutrients mapped at 30 m spatial\
    \ resolution using two-scale ensemble machine learning. <i>Sci Rep</i> <b>11,\
    \ </b>6130 (2021). https://doi.org/10.1038/s41598-021-85639-y. </p>
    
    <p>To open the maps in QGIS and/or directly compute with them, please use the <b><a href=https://gitlab.com/openlandmap/africa-soil-and-agronomy-data-cube>Cloud-Optimized GeoTIFF version</a></b>.</p>
    
    <p>Layer description: 
    <ul>
    <li>sol_log.zn_mehlich3_m_30m_*..*cm_2001..2017_v0.13_wgs84.tif = predicted soil extractable Zinc mean value,</li>
    <li>sol_log.zn_mehlich3_md_30m_*..*cm_2001..2017_v0.13_wgs84.tif = predicted soil extractable Zinc model (prediction) errors</li>
    </ul></p>"
  extents:
    spatial:
    - bbox:
      - -17.583339000000002
      - -34.83333800000004
      - 51.416385000000034
      - 37.33303999999998
      crs: 4326
  keywords:
    lsc:
      keywords:
      - soil
      vocabulary:
        name: LSC categories
        url: https://lsc-hubs.org/categories/
    tags:
      keywords:
      - Soil chemicophysical properties
      vocabulary:
        name: LSC tags
        url: https://lsc-hubs.org/tags/
    keywords-0:
      type: theme
      keywords:
      - clay 
    keywords-2:
      type: place
      keywords:
      - Africa    
contact:
  Hengl-Tomislav:
    individualname: Hengl, Tomislav
    role: ''
    organization: EnvirometriX
    url: https://orcid.org/0000-0002-9921-5129
  Miller-Matt:
    individualname: Miller, Matt
    role: ''
    organization: Innovative Solutions for Decision Agriculture Ltd (iSDA)
    url: https://orcid.org/0000-0002-1643-3076
  "Križan-Josip":
    individualname: "Križan, Josip"
    role: ''
    organization: MultiOne
    url: https://orcid.org/0000-0002-4557-3537
  Kilibarda-Milan:
    individualname: Kilibarda, Milan
    role: ''
    organization: University of Belgrade
    url: https://orcid.org/0000-0002-2930-3596
  Acquah-Gifty:
    individualname: Acquah, Gifty
    role: ''
    organization: Rothamsted Research
    url: https://orcid.org/0000-0003-4269-0903
  Sila-Andrew-M.:
    individualname: Sila, Andrew M.
    role: ''
    organization: World Agroforestry (ICRAF)
    url: https://orcid.org/0000-0002-3991-8770
