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SOIL_GRIDS_V1

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Field Value
Description Soil Grids v1 is a global dataset that maps soil properties at six standard depths (0–5 cm, 5–15 cm, 15–30 cm, 30–60 cm, 60–100 cm, and 100–200 cm). It includes variables such as soil organic carbon, pH, texture, and bulk density. The dataset is derived from soil profile observations and machine learning methods, and it has a spatial resolution of 250 meters. Soil Grids v1 is used for research in agriculture, forestry, and soil science.
Folder /datasets/geospatial/Soil_Grids_v1
Discipline Geospatial / Agriculture / Environmental Science
DOI 10.1371/journal.pone.0169748
Link Access Data
Public true
Publication Date 2017-02-16
Downloaded 2024-10-24
Data Type GeoTIFF files
Dataset Size 353G
Number of Files 700
Usage 
$ module avail
$ module load datasets
$ module load geospatial/Soil_Grids_v1/2017-02-16
Usage Policy Link https://opendatacommons.org/licenses/odbl/1-0/, https://creativecommons.org/licenses/by/4.0/
Usage Policy This dataset is distributed under the Open Database License (ODbL) v1.0. You may share, use, create, and adapt the database, provided that you: (i) give appropriate credit to ISRIC – World Soil Information and the original authors, (ii) include a link to the license (https://opendatacommons.org/licenses/odbl/1-0/), and (iii) clearly indicate if changes were made. If you publicly use an adapted version of the database, you must distribute the adapted database under ODbL (share-alike). “Produced Works” (e.g., maps, figures, analyses) derived from the database may be released under your choice of license, but must still include attribution to the source. Some individual contents may be covered by the Database Contents License (DbCL); consult the SoilGrids pages for details. The accompanying PLOS ONE article text and figures are under CC BY 4.0 unless stated otherwise (https://creativecommons.org/licenses/by/4.0/). Users are responsible for ensuring that the dataset is appropriate for their applications. Policy links: ODbL v1.0 — https://opendatacommons.org/licenses/odbl/1-0/ ; PLOS article license (CC BY 4.0) — https://creativecommons.org/licenses/by/4.0/ ; Data access — https://www.soilgrids.org
(and ftp.soilgrids.org).
Citation Hengl T, Mendes de Jesus J, Heuvelink GBM, Ruiperez Gonzalez M, Kilibarda M, Blagotić A, et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12(2): e0169748. https://doi.org/10.1371/journal.pone.0169748
BibTeX
📜 View BibTeX citation
@article{Hengl2017SoilGrids250m,
  author    = {Hengl, Tomislav and Mendes de Jesus, Jorge and Heuvelink, Gerard B. M. and Ruiperez Gonzalez, Marta and Kilibarda, Milan and Blagoti{\'c}, Aleksandar and others},
  title     = {SoilGrids250m: Global gridded soil information based on machine learning},
  journal   = {PLoS ONE},
  year      = {2017},
  volume    = {12},
  number    = {2},
  pages     = {e0169748},
  doi       = {10.1371/journal.pone.0169748},
  url       = {https://doi.org/10.1371/journal.pone.0169748}
}