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...
Main Authors: | , |
---|---|
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 |
_version_ |
1772177219556212736 |