AllpaDB: a compiled repository of harmonized soil legacy data and research data from Peru

Soil data from a country are a key tool for developing strategies to achieve sustainable development goals. Here, we present the AllpaDB dataset, which contains harmonized data compiled from various legacy soil data and research in Peru. The dataset includes both spatial and non-spatial information from soil profiles collected throughout the country. The data were processed to correct inconsistencies, and key variables were harmonized between different laboratory methods to ensure their usability. This dataset is a valuable resource for a wide range of applications, including regional soil mapping, environmental modelling, and land use planning.

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Publication Details

Journal
Scientific Data
Published
2026-06-25
DOI
https://doi.org/10.1038/s41597-026-07558-9
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.00

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article

AllpaDB: a compiled repository of harmonized soil legacy data and research data from Peru

Carlos Mestanza, Lily Tello, Julio Nazario, Rigel Llerena et al.
Scientific Data
Soil Geostatistics and Mapping
article

AllpaDB: a compiled repository of harmonized soil legacy data and research data from Peru

Carlos Mestanza, Lily Tello, Julio Nazario, Rigel Llerena, César Beltrán, Alexandre ten Caten, Melissa Quispe, Oscar Panduro, Miguel Culqui, Renzo Huerta, Cristhian Oscco
article en

Abstract

Soil data from a country are a key tool for developing strategies to achieve sustainable development goals. Here, we present the AllpaDB dataset, which contains harmonized data compiled from various legacy soil data and research in Peru. The dataset includes both spatial and non-spatial information from soil profiles collected throughout the country. The data were processed to correct inconsistencies, and key variables were harmonized between different laboratory methods to ensure their usability. This dataset is a valuable resource for a wide range of applications, including regional soil mapping, environmental modelling, and land use planning.

Scientific Data
Universidade Federal de Santa Catarina (BR), Pontificia Universidad Católica del Perú (PE), Universidad Nacional Agraria La Molina (PE)
Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica
Openalex Percentile: Top 11%
Soil Geostatistics and Mapping
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