Soil Organic Carbon Content In X 5 G / Kg At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ...

Soil organic carbon content in × 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Predicted from a global compilation of soil points. Processing steps are described in detail here . Antartica is not included. To access and visualize map...

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Bibliographic Details
Main Authors: Hengl, Tomislav, Ichsani Wheeler
Format: Dataset
Language:English
Published: Zenodo 2018
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.1475458
https://zenodo.org/record/1475458
id ftdatacite:10.5281/zenodo.1475458
record_format openpolar
spelling ftdatacite:10.5281/zenodo.1475458 2023-07-23T04:15:58+02:00 Soil Organic Carbon Content In X 5 G / Kg At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ... Hengl, Tomislav Ichsani Wheeler 2018 https://dx.doi.org/10.5281/zenodo.1475458 https://zenodo.org/record/1475458 en eng Zenodo https://dx.doi.org/10.5281/zenodo.1475457 Open Access Creative Commons Attribution Share-Alike 4.0 https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess LandGIS soil carbon dataset Dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.147545810.5281/zenodo.1475457 2023-07-03T17:53:19Z Soil organic carbon content in × 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Predicted from a global compilation of soil points. 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, organic.carbon = variable: soil organic carbon content in x 5 g / kg, usda.6a1c = 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
soil carbon
spellingShingle LandGIS
soil carbon
Hengl, Tomislav
Ichsani Wheeler
Soil Organic Carbon Content In X 5 G / Kg At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ...
topic_facet LandGIS
soil carbon
description Soil organic carbon content in × 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Predicted from a global compilation of soil points. 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, organic.carbon = variable: soil organic carbon content in x 5 g / kg, usda.6a1c = 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
Ichsani Wheeler
author_facet Hengl, Tomislav
Ichsani Wheeler
author_sort Hengl, Tomislav
title Soil Organic Carbon Content In X 5 G / Kg At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ...
title_short Soil Organic Carbon Content In X 5 G / Kg At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ...
title_full Soil Organic Carbon Content In X 5 G / Kg At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ...
title_fullStr Soil Organic Carbon Content In X 5 G / Kg At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ...
title_full_unstemmed Soil Organic Carbon Content In X 5 G / Kg At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ...
title_sort soil organic carbon content in x 5 g / 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.1475458
https://zenodo.org/record/1475458
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.1475457
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.147545810.5281/zenodo.1475457
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