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Part 1: Document Description
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Citation |
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Title: |
Training Field Soil Data for Mapping of Soil Particle Size Distribution (0-100 cm) in Brazil (MapBiomas Soil Collection 3, Beta Version) |
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Identification Number: |
doi:10.60502/SoilData/OXSR2N |
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Distributor: |
SoilData |
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Date of Distribution: |
2025-11-29 |
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Version: |
2 |
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Bibliographic Citation: |
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, V2, UNF:6:NKPCcic4dziOyimrQVCQ+A== [fileUNF] |
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Citation |
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Title: |
Training Field Soil Data for Mapping of Soil Particle Size Distribution (0-100 cm) in Brazil (MapBiomas Soil Collection 3, Beta Version) |
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Identification Number: |
doi:10.60502/SoilData/OXSR2N |
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Authoring Entity: |
MapBiomas (MapBiomas) |
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Distributor: |
SoilData |
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Access Authority: |
MapBiomas |
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Depositor: |
Samuel-Rosa, Alessandro |
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Date of Deposit: |
2025-11-29 |
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Date of Distribution: |
2025-12-05 |
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Holdings Information: |
https://doi.org/10.60502/SoilData/OXSR2N |
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Study Scope |
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Keywords: |
Ciências Agrárias, Ciências da Terra e do meio ambiente |
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Abstract: |
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 layers with >50% and >90% volume of coarse fraction in Collection 3 of the MapBiomas Soil project (beta version). Each record includes spatial coordinates, the midpoint depth of the soil layer, clay, silt, sand, and coarse fraction content, and three additive log-ratios. |
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Country: |
Brazil |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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File Description--f836 |
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File: c3_soildata_psd_modeling.tab |
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Notes: |
UNF:6:sual8pPIVgMILUN58XvzwA== |
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File Description--f838 |
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File: c3_soildata_psd_platform.tab |
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Notes: |
UNF:6:OYuW5M3kPELPZDIn0gCBdg== |