Clay Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution

Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail here . Antartica is not included. To access and visualize maps us...

Full description

Bibliographic Details
Main Author: Hengl, Tomislav
Format: Dataset
Language:English
Published: Zenodo 2018
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.1476855
https://zenodo.org/record/1476855
id ftdatacite:10.5281/zenodo.1476855
record_format openpolar
spelling ftdatacite:10.5281/zenodo.1476855 2023-05-15T14:15:24+02:00 Clay Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution Hengl, Tomislav 2018 https://dx.doi.org/10.5281/zenodo.1476855 https://zenodo.org/record/1476855 en eng Zenodo https://dx.doi.org/10.5281/zenodo.1476854 Open Access Creative Commons Attribution Share-Alike 4.0 https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess CC-BY-SA LandGIS clay content soil texture dataset Dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.1476855 https://doi.org/10.5281/zenodo.1476854 2021-11-05T12:55:41Z Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail here . Antartica is not included. To access and visualize maps use: https://landgis.opengeohub.org All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: sol = theme: soil, clay.wfraction = variable: sand weight fraction, usda.3a1a1a = determination method: laboratory method code, m = mean value, 250m = spatial resolution / block support: 250 m, b10..10cm = vertical reference: 10 cm depth below surface, 1950..2017 = time reference: period 1950-2017, v0.1 = version number: 0.1, : {"references": ["USDA-NRCS, (2014) Laboratory Methods Manual (SSIR 42). U.S. Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center.", "Hengl T, Mendes de Jesus J, Heuvelink GBM, Ruiperez Gonzalez M, Kilibarda M, Blagoti\u0107 A, et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12(2): e0169748."]} Dataset antartic* DataCite Metadata Store (German National Library of Science and Technology) Gonzalez ENVELOPE(-58.250,-58.250,-63.917,-63.917)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic LandGIS
clay content
soil texture
spellingShingle LandGIS
clay content
soil texture
Hengl, Tomislav
Clay Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution
topic_facet LandGIS
clay content
soil texture
description Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail here . Antartica is not included. To access and visualize maps use: https://landgis.opengeohub.org All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: sol = theme: soil, clay.wfraction = variable: sand weight fraction, usda.3a1a1a = determination method: laboratory method code, m = mean value, 250m = spatial resolution / block support: 250 m, b10..10cm = vertical reference: 10 cm depth below surface, 1950..2017 = time reference: period 1950-2017, v0.1 = version number: 0.1, : {"references": ["USDA-NRCS, (2014) Laboratory Methods Manual (SSIR 42). U.S. Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center.", "Hengl T, Mendes de Jesus J, Heuvelink GBM, Ruiperez Gonzalez M, Kilibarda M, Blagoti\u0107 A, et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12(2): e0169748."]}
format Dataset
author Hengl, Tomislav
author_facet Hengl, Tomislav
author_sort Hengl, Tomislav
title Clay Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution
title_short Clay Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution
title_full Clay Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution
title_fullStr Clay Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution
title_full_unstemmed Clay Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution
title_sort clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution
publisher Zenodo
publishDate 2018
url https://dx.doi.org/10.5281/zenodo.1476855
https://zenodo.org/record/1476855
long_lat ENVELOPE(-58.250,-58.250,-63.917,-63.917)
geographic Gonzalez
geographic_facet Gonzalez
genre antartic*
genre_facet antartic*
op_relation https://dx.doi.org/10.5281/zenodo.1476854
op_rights Open Access
Creative Commons Attribution Share-Alike 4.0
https://creativecommons.org/licenses/by-sa/4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY-SA
op_doi https://doi.org/10.5281/zenodo.1476855
https://doi.org/10.5281/zenodo.1476854
_version_ 1766287799800037376