Soil Survey of England Scotland and Wales from 2013 to 2014
Updated 2mo ago
2filesZIP
Available on 1 platform
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Description
2013 and 2014 survey results from the NERC Macronutrient Cycles project LTLS, analyzing carbon, nitrogen, and phosphorus interactions. The dataset comprises bulk density measurements, charcoal and coal determinations, site vegetation data, soil chemistry, isotope data, and soil texture data. It was collected by the Environmental Information Data Centre across England, Scotland, and Wales.
Use Cases
Analyze soil chemistry and isotope data to model macronutrient cycles of carbon, nitrogen, and phosphorus across UK land.
Correlate bulk density measurements with soil texture data and classifications to assess soil structure and health.
Map site vegetation data against soil chemistry results to study plant-soil nutrient interactions.
Use charcoal and coal determinations alongside soil core information to investigate historical land use impacts.
Strengths
Data collected during a specific 2013-2014 survey period as part of the NERC Macronutrient Cycles project.
Includes multiple analytical dimensions: physical (bulk density, texture), chemical (soil chemistry, isotopes), and biological (site vegetation).
Geographic coverage spans three major UK nations: England, Scotland, and Wales.
Limitations
Specific sample size, row count, and column details are unknown, limiting precise analytical planning.
Data is from a single 2013-2014 survey period, offering a snapshot rather than longitudinal time series.
The dataset is packaged in a ZIP file, requiring extraction and potentially specialized tools for spatial or soil science analysis.
Provenance
Source
Environmental Information Data Centre
Collection Method
Field soil survey involving core collection and laboratory analysis for chemistry, isotopes, and physical properties.
Time Range
2013 to 2014
Freshness
Last updated in March 2026, though the underlying data collection occurred in 2013-2014.
Geography
England, Scotland, and Wales, United Kingdom
Data is provided in a ZIP file format; users must extract contents. The dataset is part of the LTLS (Long-Term and Large-Scale) project, which may involve specific scientific context. Full details are available via the provided DOI link.