11 to 20 of 405 Resultados
Aug 4, 2023 -
Annual mapping of soil organic carbon stock in Brazil 1985-2021 (beta collection). Training field soil data
Dados Tabulares - 453.7 KB - 5 Variáveis, 9649 Observações - UNF:6:LerILOJhFQ0fcYkfZ1YJ5A==
Complete data set of training field soil data covering the entire Brazilian territory |
MapBiomas, 2024, "Training Field Soil Data for Mapping of Soil Particle Size Distribution (0–30 cm) in Brazil (MapBiomas Soil Collection 2, Beta Version)", https://doi.org/10.60502/SoilData/P6R332, SoilData, V3, UNF:6:UIo9Du9z2FFtSMZZ1X19TA== [fileUNF]
Collection of 11,633 georeferenced points with data from 19,965 soil layers used to train regression models for mapping soil particle size distribution (0–30 cm) in Brazil. These data supported the development of clay, silt, and sand content maps in Collection 2 of the MapBiomas... |
MapBiomas, 2025, "Training Field Soil Data for Mapping of Soil Particle Size Distribution (0-100 cm) in Brazil (MapBiomas Soil Collection 3, Beta Version)", https://doi.org/10.60502/SoilData/OXSR2N, SoilData, V5, UNF:6:nd9Hlzm2JVBwN1JU3QhrhA== [fileUNF]
A collection of 15,798 georeferenced points with data from 60,883 soil layers, which were used to train regression models for mapping soil particle size distribution (0-100 cm) in Brazil. These data supported the development of maps of clay, silt, and sand content and depth to la... |
MapBiomas, 2025, "Training Field Soil Data for Annual Mapping of Soil Organic Carbon Stock (0–30 cm) in Brazil, 1985–2024 (MapBiomas Soil Collection 3, Beta Version)", https://doi.org/10.60502/SoilData/IUZOAK, SoilData, V2, UNF:6:3SKy0RyCcOsSUh+QchvNNw== [fileUNF]
This dataset comprises 16,013 georeferenced points and data from 31,047 soil layers. It was utilized to train regression models for mapping soil organic carbon stock (0–30 cm) across Brazil. This data underpinned the creation of annual (baseline) maps of soil organic carbon stock... |
MapBiomas, 2024, "Training Field Soil Data for Annual Mapping of Soil Organic Carbon Stock (0–30 cm) in Brazil, 1985–2023 (MapBiomas Soil Collection 2, Beta Version)", https://doi.org/10.60502/SoilData/SXCSDK, SoilData, V3, UNF:6:PKK9HmpVEly47sjSf0e/PQ== [fileUNF]
Collection of 12,575 georeferenced points containing field data used to train regression models for mapping soil organic carbon stock (0–30 cm) in Brazil. These data were utilized to prepare the annual maps of soil organic carbon stocks in Collection 2 of the MapBiomas Soil proje... |
Dados Tabulares - 2.8 KB - 17 Variáveis, 28 Observações - UNF:6:QApx53v+Y691dRzES8UN9w==
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Dec 18, 2024 -
Replication data for: Spatial distribution of soil physical properties in a semiarid tropical region
TIFF Image - 119.8 KB -
MD5: 478dbbf66e13baeb162722df4bf6439d
Relative soil moisture at the wilting point |
MS Excel Spreadsheet - 256.3 KB -
MD5: 72f5a5242f3fcb7dd904799ebf616d54
Planilha modelo para preenchimento dos dados futuros |
Jun 28, 2023
Ramos, Priscila Vogelei; Dalmolin, Ricardo Simão Diniz, 2023, "Suscetibilidade magnética na estimativa de atributos do solo e identificação de compartimentos da paisagem em Latossolos de basalto no Planalto do RS", https://doi.org/10.60502/SoilData/X9IELX, SoilData, V1
Contém dados de ferro de 5 trincheiras abertas em uma lavaroura de grãos de 350 ha sob pivo central. Os locais de coleta foram definitos pelo relevo, sendo que foram escolhidos locais com grande variação de declividade. Sistema de Coordenadas de Referência desconhecido; assumiu-s... |
Nov 22, 2025 -
Dados de "Substâncias húmicas em solos de diferentes feições geomorfológicas no rebordo do Planalto do Rio Grande do Sul"
MS Excel Spreadsheet - 290.4 KB -
MD5: 52968429deb0ab0f0602c8a4799422fd
Planilha com dados físicos, químicos e granulométricos |
