Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula'
Clay, silt and sand distribution in Antarctic soils modeled and predicted through Machine Learning approaches, legacy soil data and environmental covariates. The coefficient of variation and quantile data represent the spatial uncertainty of the predictions. For more information about the methodolog...
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ftzenodo:oai:zenodo.org:8346735 2023-10-25T01:31:37+02:00 Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula' Siqueira, Rafael Moquedace, Cássio Francelino, Márcio Schaefer, Carlos Elpídio, Fernandes-Filho 2023-09-14 https://zenodo.org/record/8346735 https://doi.org/10.5281/zenodo.8346735 eng eng doi:10.1016/j.geoderma.2023.116405 doi:10.5281/zenodo.8346734 https://zenodo.org/communities/labgeoufv_brazil https://zenodo.org/record/8346735 https://doi.org/10.5281/zenodo.8346735 oai:zenodo.org:8346735 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Digital Soil Mapping Antarctica Soil texture info:eu-repo/semantics/other dataset 2023 ftzenodo https://doi.org/10.5281/zenodo.834673510.1016/j.geoderma.2023.11640510.5281/zenodo.8346734 2023-09-26T23:02:09Z Clay, silt and sand distribution in Antarctic soils modeled and predicted through Machine Learning approaches, legacy soil data and environmental covariates. The coefficient of variation and quantile data represent the spatial uncertainty of the predictions. For more information about the methodology used, users are referred to the article: Siqueira, R.G., Moquedace, C.M., Francelino, M.R., Schaefer, C.E.G.R., Fernandes-Filho, E.I., 2023. Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula. Geoderma 432, 116405. https://doi.org/10.1016/j.geoderma.2023.116405 The .zip file has the following folders: 1) soil_texture_antarctica: soil texture information containing clay, silt and sand contents 2) soil_texture_coefficient_variation: uncertainty from the coefficient of variation of the soil texture prediction 3) soil_texture_prediction_interval: uncertainty from the prediction interval 90% (Q95% - Q5%) of the soil texture prediction 4) soil_texture_quantile05: quantile 5% of the soil texture prediction 5) soil_texture_quantile95: quantile 95% of the soil texture prediction Dataset Antarc* Antarctic Antarctic Peninsula Antarctica Zenodo Antarctic Antarctic Peninsula Schaefer ENVELOPE(166.383,166.383,-71.367,-71.367) |
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Open Polar |
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Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
Digital Soil Mapping Antarctica Soil texture |
spellingShingle |
Digital Soil Mapping Antarctica Soil texture Siqueira, Rafael Moquedace, Cássio Francelino, Márcio Schaefer, Carlos Elpídio, Fernandes-Filho Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula' |
topic_facet |
Digital Soil Mapping Antarctica Soil texture |
description |
Clay, silt and sand distribution in Antarctic soils modeled and predicted through Machine Learning approaches, legacy soil data and environmental covariates. The coefficient of variation and quantile data represent the spatial uncertainty of the predictions. For more information about the methodology used, users are referred to the article: Siqueira, R.G., Moquedace, C.M., Francelino, M.R., Schaefer, C.E.G.R., Fernandes-Filho, E.I., 2023. Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula. Geoderma 432, 116405. https://doi.org/10.1016/j.geoderma.2023.116405 The .zip file has the following folders: 1) soil_texture_antarctica: soil texture information containing clay, silt and sand contents 2) soil_texture_coefficient_variation: uncertainty from the coefficient of variation of the soil texture prediction 3) soil_texture_prediction_interval: uncertainty from the prediction interval 90% (Q95% - Q5%) of the soil texture prediction 4) soil_texture_quantile05: quantile 5% of the soil texture prediction 5) soil_texture_quantile95: quantile 95% of the soil texture prediction |
format |
Dataset |
author |
Siqueira, Rafael Moquedace, Cássio Francelino, Márcio Schaefer, Carlos Elpídio, Fernandes-Filho |
author_facet |
Siqueira, Rafael Moquedace, Cássio Francelino, Márcio Schaefer, Carlos Elpídio, Fernandes-Filho |
author_sort |
Siqueira, Rafael |
title |
Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula' |
title_short |
Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula' |
title_full |
Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula' |
title_fullStr |
Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula' |
title_full_unstemmed |
Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula' |
title_sort |
soil texture dataset from the publication: "machine learning applied for antarctic soil mapping: spatial prediction of soil texture for maritime antarctica and northern antarctic peninsula' |
publishDate |
2023 |
url |
https://zenodo.org/record/8346735 https://doi.org/10.5281/zenodo.8346735 |
long_lat |
ENVELOPE(166.383,166.383,-71.367,-71.367) |
geographic |
Antarctic Antarctic Peninsula Schaefer |
geographic_facet |
Antarctic Antarctic Peninsula Schaefer |
genre |
Antarc* Antarctic Antarctic Peninsula Antarctica |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Antarctica |
op_relation |
doi:10.1016/j.geoderma.2023.116405 doi:10.5281/zenodo.8346734 https://zenodo.org/communities/labgeoufv_brazil https://zenodo.org/record/8346735 https://doi.org/10.5281/zenodo.8346735 oai:zenodo.org:8346735 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.834673510.1016/j.geoderma.2023.11640510.5281/zenodo.8346734 |
_version_ |
1780727117240074240 |