Sand Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ...
Sand 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...
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Online Access: | https://dx.doi.org/10.5281/zenodo.1476852 https://zenodo.org/record/1476852 |
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ftdatacite:10.5281/zenodo.1476852 2023-06-11T04:07:19+02:00 Sand 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.1476852 https://zenodo.org/record/1476852 en eng Zenodo https://dx.doi.org/10.5281/zenodo.1476851 Open Access Creative Commons Attribution Share-Alike 4.0 https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess LandGIS sand fraction soil texture Dataset dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.147685210.5281/zenodo.1476851 2023-05-02T11:03:53Z Sand 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, sand.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 sand fraction soil texture |
spellingShingle |
LandGIS sand fraction soil texture Hengl, Tomislav Sand Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ... |
topic_facet |
LandGIS sand fraction soil texture |
description |
Sand 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, sand.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 |
Sand Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ... |
title_short |
Sand Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ... |
title_full |
Sand Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ... |
title_fullStr |
Sand Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ... |
title_full_unstemmed |
Sand Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ... |
title_sort |
sand 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.1476852 https://zenodo.org/record/1476852 |
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.1476851 |
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_doi |
https://doi.org/10.5281/zenodo.147685210.5281/zenodo.1476851 |
_version_ |
1768380364342951936 |