Land Cover and Sediment Geochemistry for Rio Santa Catchment, Peru
Updated 3mo ago
2filesZIP
Available on 1 platform
Sign in to view source links and access this dataset
Description
Land cover and sediment geochemistry data from the Rio Santa catchment in the Peruvian Andes, collected between 2019 and 2020. The dataset includes major and minor element concentrations determined by X-Ray Fluorescence, organic matter via loss-on-ignition, and particle size data for the wider catchment and Ranrahirca sub-catchment. Research was supported by the Natural Environment Research Council and Newton Fund grant NE/S013245/1.
Use Cases
Analyze correlations between land cover types and sediment geochemistry, such as major element concentrations, to assess erosion impacts.
Model organic matter content from loss-on-ignition data across the catchment to study carbon storage in Andean sediments.
Use particle size data alongside XRF-derived element data to infer sediment transport and deposition patterns within the Ranrahirca sub-catchment.
Strengths
Data collected during a dedicated 2019-2020 field campaign within the SIGMA: Peru project.
Includes multiple analytical measurements per sample: XRF for elements, loss-on-ignition for organic matter, and particle size data.
Provides coverage for both the wider Rio Santa catchment and the specific Ranrahirca sub-catchment for comparative analysis.
Limitations
Sample size and row count are unknown, limiting statistical power assessments for machine learning.
Data is static from a single two-year period, lacking temporal continuity for time-series analysis.
Geographic scope is limited to one catchment in the Cordillera Blanca, Peru, reducing generalizability.
Provenance
Source
Environmental Information Data Centre.
Collection Method
Sediment samples collected in the field; geochemistry determined by X-Ray Fluorescence and loss-on-ignition.
Time Range
2019-2020.
Freshness
Last updated in March 2026, indicating recent metadata maintenance.
Geography
Rio Santa catchment, Cordillera Blanca, Peruvian Andes, including the Ranrahirca sub-catchment.
Data is provided in a ZIP file format; specific license terms and required tools for geospatial analysis are unknown.